behind_glass/dist/assets/aiDepth.worker-BZp93h00.js

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/*!
* ONNX Runtime Web v1.31.0-dev.20260914-8d85527a0
* Copyright (c) Microsoft Corporation. All rights reserved.
* Licensed under the MIT License.
*/
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Ha(e){if(e===null)return null;switch(e.type){case`BertPreTokenizer`:return new La;case`Sequence`:return new za(e);case`Whitespace`:return new Ma;case`WhitespaceSplit`:return new Ba;case`Metaspace`:return new Na(e);case`ByteLevel`:return new ja(e);case`Split`:return new Pa(e);case`Punctuation`:return new Fa(e);case`Digits`:return new Ia(e);case`Replace`:return new Ra(e);case`FixedLength`:return new Va(e);default:throw Error(`Unknown PreTokenizer type: ${e.type}`)}}var Ua=Ha,Wa=class extends ua{constructor(e){super(),this.config=e,this.vocab=[],this.tokens_to_ids=/* @__PURE__ */ new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}_call(e){let t=this.encode(e);return this.fuse_unk&&(t=$i(t,this.tokens_to_ids,this.unk_token_id)),t}},Ga=class extends 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io{constructor(e){super(e),this.sep=e.sep,this.cls=e.cls}post_process(e,t,n=!0){n&&(e=ia([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=ia(e,i,t,a),r=ia(r,Array(t.length+i.length+a.length).fill(1))}return{tokens:e,token_type_ids:r}}},lo=class extends io{constructor(e){super(e),this.processors=(e.processors??[]).map(e=>fo(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 uo(e){if(e===null)return null;switch(e.type){case`TemplateProcessing`:return new ao(e);case`ByteLevel`:return new oo(e);case`BertProcessing`:return new so(e);case`RobertaProcessing`:return new co(e);case`Sequence`:return new lo(e);default:throw Error(`Unknown PostProcessor type: ${e.type}`)}}var fo=uo,po=class extends ua{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=`trim_offsets`in 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this._nearest_interpolate_4d||=zl([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||=zl([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||=zl([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||=zl([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||=zl([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||=zl([8,9,58,93,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,19,10,1,120,18,14,10,12,8,1,18,8,10,0,10,0,10,2,8,1,90,11,10,1,97,18,6,10,4,8,7,18,0,98,19,10,1,121,18,14,10,12,8,1,18,8,10,0,10,0,10,2,8,2,66,2,16,20],this.session_options,`y`),this._rfft}static get top_k(){return this._top_k||=zl([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||=zl([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}},Vl=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`}),Hl=O.IS_NODE_ENV?`cpu`:`wasm`;function Ul(e,t,{warn:n}={}){return e?typeof e==`string`?e:e.hasOwnProperty(t)?e[t]:(n&&n(`device not 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Using the default device (${Hl}).`),Hl):Hl}var Wl=/* @__PURE__ */ (function(){let e;return async function(){if(e===void 0){if(!O.IS_WEBGPU_AVAILABLE)e=!1;else try{e=(await navigator.gpu.requestAdapter()).features.has(`shader-f16`)}catch{e=!1}}return e}})(),Gl=Object.freeze({auto:`auto`,fp32:`fp32`,fp16:`fp16`,q8:`q8`,int8:`int8`,uint8:`uint8`,q4:`q4`,bnb4:`bnb4`,q4f16:`q4f16`,q2:`q2`,q2f16:`q2f16`,q1:`q1`,q1f16:`q1f16`}),Kl=Gl.fp32,ql=Object.freeze({[Vl.wasm]:Gl.q8}),Jl=Object.freeze({[Gl.fp32]:``,[Gl.fp16]:`_fp16`,[Gl.int8]:`_int8`,[Gl.uint8]:`_uint8`,[Gl.q8]:`_quantized`,[Gl.q4]:`_q4`,[Gl.q2]:`_q2`,[Gl.q1]:`_q1`,[Gl.q4f16]:`_q4f16`,[Gl.q2f16]:`_q2f16`,[Gl.q1f16]:`_q1f16`,[Gl.bnb4]:`_bnb4`});function Yl(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===Gl.auto){if(r){let e=typeof r==`string`?r:r?.[t];if(e&&e!==Gl.auto&&Gl.hasOwnProperty(e))return e}s=ql[n]??Kl}else s=a&&Gl.hasOwnProperty(a)?a:ql[n]??Kl;return o&&i&&i(`dtype not specified for "${t}". 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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=pu(r),l=pu(i);for(let e=0;e<a;++e){let t=e,n=0;for(let e=0;e<i.length;++e){let i=Math.floor(t/l[e]);t%=l[e];let a=i%r[e];n+=a*c[e]}s[e]=o[n]}return new e(this.type,s,i)}tile(...e){if(e.length<this.dims.length){let t=this.dims.length-e.length;e=Array(t).fill(1).concat(e)}return this.repeat(...e)}to(t){if(this.type===t)return this;if(!Xl.hasOwnProperty(t))throw Error(`Unsupported type: ${t}`);let n,r=[`int64`,`uint64`].includes(this.type),i=[`int64`,`uint64`].includes(t);if(r&&!i)n=Number;else if(!r&&i)n=[`float16`,`float32`,`float64`].includes(this.type)?e=>BigInt(Math.floor(e)):BigInt;else if(this.type===`float16`&&t==`float32`&&this.data instanceof Uint16Array)return new e(t,gl(this.data),this.dims);return new e(t,Xl[t].from(this.data,n),this.dims)}};function Zl(e,t){let n=e.length;if(n!==(t.length===0?1:t.reduce((e,t)=>e*t)))throw 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af(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){Rd(e,`ASTFeatureExtractor`);let t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){let e=this.std*2,n=t.data;for(let t=0;t<n.length;++t)n[t]=(n[t]-this.mean)/e}return{input_values:t.unsqueeze_(0)}}},df=class extends Ld{async _call(e){Rd(e,`EncodecFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=this.config.feature_size;if(e.length%t!==0)throw Error(`The length of the audio data must be a multiple of the number of channels (${t}).`);let n=[1,t,e.length/t];return{input_values:new H(`float32`,e,n)}}},ff=class extends Ld{async _call(e){Rd(e,`ChatterboxFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,e.length];return{input_values:new H(`float32`,e,t)}}},pf=class extends Ld{constructor(e){super(e),this.mel_filters=$d(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,`htk`),this.mel_filters_slaney=$d(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,`slaney`,`slaney`),this.window=of(this.config.fft_window_size,`hann`)}async _get_input_mel(e,t,n,r){let i,a=e.length-t;if(a>0){if(n===`rand_trunc`){let n=Math.floor(vc.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 "${n}" not implemented`)}else{if(a<0){let n=new Float64Array(t);if(n.set(e),r===`repeat`)for(let r=e.length;r<t;r+=e.length)n.set(e.subarray(0,Math.min(e.length,t-r)),r);else if(r===`repeatpad`)for(let t=e.length;t<-a;t+=e.length)n.set(e,t);e=n}if(n===`fusion`)throw Error(`Truncation strategy "${n}" not implemented`);i=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}return i.unsqueeze_(0)}async _extract_fbank_features(e,t,n=null){return af(e,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:t,log_mel:`dB`,max_num_frames:n,do_pad:!1,transpose:!0})}async _call(e,{max_length:t=null}={}){return Rd(e,`ClapFeatureExtractor`),{input_features:(await this._get_input_mel(e,t??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}},mf=1e-5,hf=class extends Ld{constructor(e){super(e),this.config.mel_filters??=$d(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,this.config.sampling_rate/2,this.config.sampling_rate,`slaney`,`slaney`);let t=of(this.config.win_length,`hann`,{periodic:!1});this.window=new Float64Array(this.config.n_fft);let n=Math.floor((this.config.n_fft-this.config.win_length)/2);this.window.set(t,n)}async _extract_fbank_features(e){let t=this.config.preemphasis;e=new Float64Array(e);for(let n=e.length-1;n>=1;--n)e[n]-=t*e[n-1];return await af(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){Rd(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;e<n;++e){let t=e*a;for(let e=0;e<a;++e){let n=r[t+e];o[e]+=n,s[e]+=n*n}}let c=n>1?n-1:1;for(let e=0;e<a;++e){let t=o[e]/n,i=(s[e]-n*t*t)/c,l=1/(Math.sqrt(i)+mf);for(let i=0;i<n;++i){let n=i*a+e;r[n]=(r[n]-t)*l}}let l=new BigInt64Array(i);return l.fill(1n,0,n),{input_features:t.unsqueeze_(0),attention_mask:new H(`int64`,l,[1,i])}}},gf=class extends hf{_apply_dither(e){let t=this.config.dither??0;if(t<=0)return e;let n=new hc(e.length);for(let r=0;r<e.length;++r)e[r]+=t*n.gauss();return e}split_audio(e){let t=this.config.max_audio_clip_s??35,n=this.config.overlap_chunk_second??5,r=this.config.min_energy_window_samples??1600,i=this.config.sampling_rate,a=Math.max(1,Math.round(t*i)),o=Math.max(1,Math.round(n*i));if(e.length<=a)return[e];let s=[],c=0,l=e.length;for(;c<l;){if(c+a>=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;a<r;++a){let r=e[t+n+a];i+=r*r}i=Math.sqrt(i/r),i<a&&(a=i,o=t+n)}return o}async _call(e){Rd(e,`CohereAsrFeatureExtractor`);let t=new Float64Array(e);return this._apply_dither(t),super._call(t)}},_f=class extends df{},vf=class extends Ld{constructor(e){super(e);let{fft_length:t,feature_size:n,min_frequency:r,max_frequency:i,sampling_rate:a,frame_length:o}=this.config,s=$d(Math.floor(1+t/2),n,r,i,a,null,`htk`,!1);this.mel_filters=s,this.window=of(o,`hann`)}async _extract_fbank_features(e,t){return af(e,this.window,this.config.frame_length,this.config.hop_length,{fft_length:this.config.fft_length,center:!1,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:this.config.mel_floor,remove_dc_offset:!1,transpose:!0})}async _call(e,{max_length:t=48e4,truncation:n=!0,padding:r=!0,pad_to_multiple_of:i=128}={}){if(Rd(e,`Gemma3nAudioFeatureExtractor`),n&&e.length>t&&(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=hu([1,a.dims[0]],!0);return{input_features:a.unsqueeze_(0),input_features_mask:o}}},yf=class extends vf{async _extract_fbank_features(e,t){let{frame_length:n,hop_length:r,fft_length:i}=this.config,a=Math.floor(n/2),o=Math.floor((e.length+a-(n+1))/r)+1;return af(e,this.window,n,r,{fft_length:i,center:!0,pad_mode:`semicausal`,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:this.config.mel_floor,mel_floor_mode:`add`,remove_dc_offset:!1,transpose:!0,max_num_frames:o})}async _call(e,t={}){Rd(e,`Gemma4AudioFeatureExtractor`);let n=e.length,r=await super._call(e,t),{input_features:i}=r,[,a,o]=i.dims,{frame_length:s,hop_length:c}=this.config,l=Math.floor(s/2),u=s+1,d=new Uint8Array(n+l+(t.pad_to_multiple_of??128));d.fill(1,l,l+n);let f=new Uint8Array(a);for(let e=0;e<a;++e)f[e]=+!!d[e*c+u-1];let p=i.data;for(let e=0;e<a;++e)f[e]||p.fill(0,e*o,(e+1)*o);return r.input_features_mask=new H(`bool`,f,[1,a]),r}},bf=class extends Ld{constructor(e){super(e);let{n_fft:t,win_length:n,n_mels:r,sample_rate:i}=e.melspec_kwargs;this.mel_filters=$d(Math.floor(1+t/2),r,0,i/2,i,null,`htk`);let a=of(n,`hann`);this.window=new Float64Array(t);let o=Math.floor((t-n)/2);this.window.set(a,o)}async _call(e){Rd(e,`GraniteSpeechFeatureExtractor`);let{n_fft:t,hop_length:n,n_mels:r}=this.config.melspec_kwargs,i=Math.floor(e.length/n)+1,a=i-i%2;return{input_features:(await af(e,this.window,t,n,{power:2,mel_filters:this.mel_filters,log_mel:`log10_max_norm`,transpose:!0,max_num_frames:a,do_pad:!1})).view(-1,2*r).unsqueeze_(0)}}},xf=class extends Ld{async _call(e){Rd(e,`MoonshineFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,e.length];return{input_values:new H(`float32`,e,t)}}},Sf=class extends Ld{async _call(e){Rd(e,`PyAnnoteFeatureExtractor`),e instanceof Float64Array&&(e=new Float32Array(e));let t=[1,1,e.length];return{input_values:new H(`float32`,e,t)}}samples_to_frames(e){return(e-this.config.offset)/this.config.step}post_process_speaker_diarization(e,t){let n=t/this.samples_to_frames(t)/this.config.sampling_rate,r=[];for(let t of e.tolist()){let e=[],i=-1;for(let n=0;n<t.length;++n){let[r,a]=sl(il(t[n])),[o,s]=[n,n+1];a===i?(e.at(-1).end=s,e.at(-1).score+=r):(i=a,e.push({id:a,start:o,end:s,score:r}))}r.push(e.map(({id:e,start:t,end:r,score:i})=>({id:e,start:t*n,end:r*n,confidence:i/(r-t)})))}return r}},Cf=class extends Ld{constructor(e){super(e);let t=this.config.sampling_rate,n=$d(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0);this.mel_filters=n,this.window=of(400,`povey`,{periodic:!1})}async _extract_fbank_features(e,t){return e=e.map(e=>e*32768),af(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}={}){Rd(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;r<t;++r){let i=0;for(let a=0;a<e;++a)i+=n[a*t+r];let a=i/e,o=0;for(let i=0;i<e;++i)o+=(n[i*t+r]-a)**2;o/=e-1;let s=Math.sqrt(o+1e-7);for(let i=0;i<e;++i){let e=i*t+r;n[e]=(n[e]-a)/s}}}let o;if(t){let[e,t]=a.dims,r=a.data,s=e%n;if(s>0){let n=new Float32Array(t*(e+s));n.set(r),n.fill(this.config.padding_value,r.length);let c=e+s;a=new H(a.type,n,[c,t]),i&&(o=new H(`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;n<s;n+=l,++r)t[r]=e[n]}else t.fill(1n);d.attention_mask=new H(`int64`,t,[1,e])}return d}},wf=class extends _f{},Tf=class extends Ld{},Ef=class extends Ld{_zero_mean_unit_var_norm(e){let t=e.reduce((e,t)=>e+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){Rd(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 H(`float32`,t,n),attention_mask:new H(`int64`,new BigInt64Array(t.length).fill(1n),n)}}},Df=class extends Ld{constructor(e){super(e);let t=this.config.sampling_rate,n=$d(257,this.config.num_mel_bins,20,Math.floor(t/2),t,null,`kaldi`,!0);this.mel_filters=n,this.window=of(400,`hamming`,{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(e){return e=e.map(e=>e*32768),af(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:`log`,mel_floor:1.192092955078125e-7,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(e){Rd(e,`WeSpeakerFeatureExtractor`);let t=(await this._extract_fbank_features(e)).unsqueeze_(0);if(this.config.fbank_centering_span===null){let e=t.mean(1).data,n=t.data,[r,i,a]=t.dims;for(let t=0;t<r;++t){let r=t*i*a,o=t*a;for(let t=0;t<i;++t){let i=r+t*a;for(let t=0;t<a;++t)n[i+t]-=e[o+t]}}}return{input_features:t}}},Of=class extends Ld{constructor(e){super(e),this.config.mel_filters??=$d(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,`slaney`,`slaney`),this.window=of(this.config.n_fft,`hann`)}async _extract_fbank_features(e,{center:t=!0}={}){let{n_fft:n,hop_length:r,mel_filters:i,global_log_mel_max:a}=this.config,o=Math.floor(t?e.length/r:(e.length-n)/r);return await af(e,this.window,n,r,{power:2,mel_filters:i,log_mel:`log10_max_norm`,max_log_mel:a,center:t,max_num_frames:o,do_pad:!1})}async _call(e,{center:t=!0}={}){return Rd(e,`VoxtralRealtimeFeatureExtractor`),{input_features:(await this._extract_fbank_features(e,{center:t})).unsqueeze_(0)}}},kf=class extends Ld{constructor(e){super(e),this.config.mel_filters??=$d(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,`slaney`,`slaney`),this.window=of(this.config.n_fft,`hann`)}async _extract_fbank_features(e){return await af(e,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:`log10_max_norm`,max_num_frames:Math.min(Math.floor(e.length/this.config.hop_length),this.config.nb_max_frames)})}async _call(e,{max_length:t=null}={}){Rd(e,`WhisperFeatureExtractor`);let n,r=t??this.config.n_samples;return e.length>r?(e.length>this.config.n_samples&&A.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),n=e.slice(0,r)):(n=new Float32Array(r),n.set(e)),{input_features:(await this._extract_fbank_features(n)).unsqueeze_(0)}}},Af=class{static async from_pretrained(e,t={}){let n=await tl(e,Md,!0,t),r=n.feature_extractor_type,i=zd[r];if(!i)throw Error(`Unknown feature_extractor_type: '${r}'. Please report this at ${jd}.`);return new i(n)}},jf=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;async _call(e,t=null){let n=this.tokenizer(e),r=t?await this.feature_extractor(t):{};return{...n,...r}}},Mf=/* @__PURE__ */ new Set([`ja`,`zh`]),Nf=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;static uses_processor_config=!0;get_decoder_prompt_ids(e=`en`){let t=[`▁`,`<|startofcontext|>`,`<|startoftranscript|>`,`<|emo:undefined|>`,`<|${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=Mf.has(t)?``:` `;return[n[0].trimEnd(),...n.slice(1).map(e=>e.trim())].join(r)}async _call(e){return await this.feature_extractor(e)}},Pf={},Ff,If,Lf;if(O.IS_WEB_ENV)Ff=(e,t)=>{if(!self.OffscreenCanvas)throw Error(`OffscreenCanvas not supported by this environment.`);return new self.OffscreenCanvas(e,t)},Lf=self.createImageBitmap,If=self.ImageData;else if(Pf)Lf=async e=>{let t=(await e.metadata()).channels,{data:n,info:r}=await e.rotate().raw().toBuffer({resolveWithObject:!0}),i=new Bf(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 Rf={0:`nearest`,1:`lanczos`,2:`bilinear`,3:`bicubic`,4:`box`,5:`hamming`},zf=/* @__PURE__ */ new Map([[`png`,`image/png`],[`jpg`,`image/jpeg`],[`jpeg`,`image/jpeg`],[`gif`,`image/gif`]]),Bf=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: ${typeof t}`)}static fromCanvas(t){if(!O.IS_WEB_ENV)throw Error(`fromCanvas() is only supported in browser environments.`);let n=t.getContext(`2d`).getImageData(0,0,t.width,t.height).data;return new e(n,t.width,t.height,4)}static async fromURL(e){let t=await Kc(e);if(t.status!==200)throw Error(`Unable to read image from "${e}" (${t.status} ${t.statusText})`);let n=await t.blob();return this.fromBlob(n)}static async fromBlob(e){if(O.IS_WEB_ENV){let t=await Lf(e),n=Ff(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)}{let t=Pf(await e.arrayBuffer());return await Lf(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.permute(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<this.data.length;t+=this.channels){let r=this.data[t],i=this.data[t+1],a=this.data[t+2];e[n++]=Math.round(.2989*r+.587*i+.114*a)}break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,1)}rgb(){if(this.channels===3)return this;let e=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let t=0,n=0;t<this.data.length;++t)e[n++]=this.data[t],e[n++]=this.data[t],e[n++]=this.data[t];break;case 4:for(let t=0,n=0;t<this.data.length;t+=4)e[n++]=this.data[t],e[n++]=this.data[t+1],e[n++]=this.data[t+2];break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,3)}rgba(){if(this.channels===4)return this;let e=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let t=0,n=0;t<this.data.length;++t)e[n++]=this.data[t],e[n++]=this.data[t],e[n++]=this.data[t],e[n++]=255;break;case 3:for(let t=0,n=0;t<this.data.length;t+=3)e[n++]=this.data[t],e[n++]=this.data[t+1],e[n++]=this.data[t+2],e[n++]=255;break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,4)}putAlpha(e){if(e.width!==this.width||e.height!==this.height)throw Error(`Expected mask size to be ${this.width}x${this.height}, but got ${e.width}x${e.height}`);if(e.channels!==1)throw Error(`Expected mask to have 1 channel, but got ${e.channels}`);let t=this.data,n=e.data,r=this.width*this.height;if(this.channels===3){let e=new Uint8ClampedArray(r*4);for(let i=0,a=0,o=0;i<r;++i)e[o++]=t[a++],e[o++]=t[a++],e[o++]=t[a++],e[o++]=n[i];return this._update(e,this.width,this.height,4)}if(this.channels===4){for(let e=0;e<r;++e)t[4*e+3]=n[e];return this}throw Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(t,n,{resample:r=2}={}){if(this.width===t&&this.height===n)return this;let i=Rf[r]??r,a=ni(t),o=ni(n);if(a&&o)return this;if(a?t=n/this.height*this.width:o&&(n=t/this.width*this.height),O.IS_WEB_ENV){let r=this.channels,i=this.toCanvas(),a=Ff(t,n).getContext(`2d`);return a.drawImage(i,0,0,t,n),new e(a.getImageData(0,0,t,n).data,t,n,4).convert(r)}{let e=this.toSharp();switch(i){case`box`:case`hamming`:(i===`box`||i===`hamming`)&&(A.warn(`Resampling method ${i} is not yet supported. Using bilinear instead.`),i=`bilinear`);case`nearest`:case`bilinear`:case`bicubic`:e=e.affine([t/this.width,0,0,n/this.height],{interpolator:i});break;case`lanczos`:e=e.resize({width:t,height:n,fit:`fill`,kernel:`lanczos3`});break;default:throw Error(`Resampling method ${i} is not supported.`)}return await Lf(e)}}async pad([t,n,r,i]){if(t=Math.max(t,0),n=Math.max(n,0),r=Math.max(r,0),i=Math.max(i,0),t===0&&n===0&&r===0&&i===0)return this;if(O.IS_WEB_ENV){let a=this.channels,o=this.toCanvas(),s=this.width+t+n,c=this.height+r+i,l=Ff(s,c).getContext(`2d`);return l.drawImage(o,0,0,this.width,this.height,t,r,this.width,this.height),new e(l.getImageData(0,0,s,c).data,s,c,4).convert(a)}{let e=this.toSharp().extend({left:t,right:n,top:r,bottom:i});return await Lf(e)}}async crop([t,n,r,i]){if(t=Math.max(t,0),n=Math.max(n,0),r=Math.min(r,this.width-1),i=Math.min(i,this.height-1),t===0&&n===0&&r===this.width-1&&i===this.height-1)return this;let a=r-t+1,o=i-n+1;if(O.IS_WEB_ENV){let r=this.channels,i=this.toCanvas(),s=Ff(a,o).getContext(`2d`);return s.drawImage(i,t,n,a,o,0,0,a,o),new e(s.getImageData(0,0,a,o).data,a,o,4).convert(r)}{let e=this.toSharp().extract({left:t,top:n,width:a,height:o});return await Lf(e)}}async center_crop(t,n){if(this.width===t&&this.height===n)return this;let r=(this.width-t)/2,i=(this.height-n)/2;if(O.IS_WEB_ENV){let a=this.channels,o=this.toCanvas(),s=Ff(t,n).getContext(`2d`),c=0,l=0,u=0,d=0;return r>=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)}{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 Lf(e)}}async toBlob(e=`image/png`,t=1){if(!O.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 H(`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(!O.IS_WEB_ENV)throw Error(`toCanvas() is only supported in browser environments.`);let e=this.clone().rgba(),t=Ff(e.width,e.height),n=new If(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;e<o;++e){let n=i*e;for(let r=0;r<i;++r)s[r][e]=t[n+r]}return s.map(t=>new 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: ${this.channels}`)}return this}async save(e){if(O.IS_WEB_ENV){if(O.IS_WEBWORKER_ENV)throw Error(`Unable to save an image from a Web Worker.`);let t=e.split(`.`).pop().toLowerCase(),n=zf.get(t)??`image/png`;return Vd(e,await this.toBlob(n))}if(O.IS_FS_AVAILABLE)await this.toSharp().toFile(e);else throw Error(`Unable to save the image because filesystem is disabled in this environment.`)}toSharp(){if(O.IS_WEB_ENV)throw Error(`toSharp() is only supported in server-side environments.`);return Pf(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}};Bf.read.bind(Bf);function Vf(e,t,n=0,r=null){let i=e/t,a=ml(i)*t;return r!==null&&a>r&&(a=Math.floor(i)*t),a<n&&(a=Math.ceil(i)*t),a}function Hf([e,t],n){return[Math.max(Math.floor(e/n),1)*n,Math.max(Math.floor(t/n),1)*n]}function Uf([e,t,n,r]){return[e-n/2,t-r/2,e+n/2,t+r/2]}function Wf(e,t=.5,n=null,r=!1){let i=e.logits,a=e.pred_boxes,[o,s,c]=i.dims;if(n!==null&&n.length!==o)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let l=[];for(let e=0;e<o;++e){let o=n===null?null:n[e],u={boxes:[],classes:[],scores:[]},d=i[e],f=a[e];for(let e=0;e<s;++e){let n=d[e],i=[],a;if(r){a=n.sigmoid().data;for(let e=0;e<a.length;++e)a[e]>t&&i.push(e)}else{let e=sl(n.data)[1];if(e===c-1||(a=il(n.data),a[e]<t))continue;i.push(e)}for(let t of i){let n=f[e].data;n=Uf(n),o!==null&&(n=n.map((e,t)=>e*o[(t+1)%2])),u.boxes.push(n),u.classes.push(t),u.scores.push(a[t])}}l.push(u)}return l}function Gf(e,t=null){let n=e.logits,r=n.dims[0];if(t!==null&&t.length!==r)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let i=[];for(let e=0;e<r;++e){let r=t===null?null:t[e],a=n[e];r!==null&&(a=$l(a,r,`bilinear`,!1));let[o,s]=r??a.dims.slice(-2),c=new H(`int32`,new Int32Array(o*s),[o,s]),l=a[0].data,u=c.data;for(let e=1;e<a.dims[0];++e){let t=a[e].data;for(let n=0;n<t.length;++n)t[n]>l[n]&&(l[n]=t[n],u[n]=e)}let d=Array(a.dims[0]);for(let e=0;e<u.length;++e){let t=u[e];d[t]=t}let f=d.filter(e=>e!==void 0);i.push({segmentation:c,labels:f})}return i}function Kf(e,t,n,r){let i=[],a=[],o=[];for(let s=0;s<e.dims[0];++s){let c=e[s],l=t[s],u=sl(c.data)[1];if(u===r)continue;let d=il(c.data)[u];d>n&&(i.push(l),a.push(d),o.push(u))}return[i,a,o]}function qf(e,t,n,r=.5,i=.8){let a=[],o=0,s=0,c=t[n].data;for(let t=0;t<e.length;++t)e[t]===n&&(a.push(t),++o),c[t]>=r&&++s;let l=o>0&&s>0;return l&&=o/s>i,[l,a]}function Jf(e,t,n,r,i,a=null,o=null){let[s,c]=o??e[0].dims,l=new H(`int32`,new Int32Array(s*c),[s,c]),u=[];if(o!==null)for(let t=0;t<e.length;++t)e[t]=$l(e[t],o,`bilinear`,!1);let d=new Int32Array(e[0].data.length),f=new Float32Array(e[0].data.length);for(let n=0;n<e.length;++n){let r=t[n],i=e[n].data;for(let e=0;e<i.length;++e)i[e]*=r,i[e]>f[e]&&(d[e]=n,f[e]=i[e])}let p=0,m=l.data;for(let a=0;a<n.length;++a){let o=n[a],[s,c]=qf(d,e,a,r,i);if(s){++p;for(let e of c)m[e]=p;u.push({id:p,label_id:o,score:t[a]})}}return[l,u]}function Yf(e,t,n=28,r=3136,i=1003520,a=1){if(e<n||t<n){let r=Math.max(n/e,n/t);e=Math.round(e*r),t=Math.round(t*r)}if(Math.max(e,t)/Math.min(e,t)>200)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*s<r){let i=Math.sqrt(r/(a*e*t));o=Math.ceil(e*i/n)*n,s=Math.ceil(t*i/n)*n}return[s,o]}function Xf(e,t=.5,n=.5,r=.8,i=null,a=null){i===null&&(A.warn("`label_ids_to_fuse` unset. No instance will be fused."),i=/* @__PURE__ */ new Set);let o=e.class_queries_logits??e.logits,s=(e.masks_queries_logits??e.pred_masks).sigmoid(),[c,l,u]=o.dims;if(--u,a!==null&&a.length!==c)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let d=[];for(let e=0;e<c;++e){let c=a===null?null:a[e],l=o[e],f=s[e],[p,m,h]=Kf(l,f,t,u);if(h.length===0){let[e,t]=c??f.dims.slice(-2),n=new H(`int32`,new Int32Array(e*t).fill(-1),[e,t]);d.push({segmentation:n,segments_info:[]});continue}let[g,_]=Jf(p,m,h,n,r,i,c);d.push({segmentation:g,segments_info:_})}return d}function Zf(e,t=.5,n=null){throw Error("`post_process_instance_segmentation` is not yet implemented.")}var q=class extends Qr{constructor(e){super(),this.image_mean=e.image_mean??e.mean,this.image_std=e.image_std??e.std,this.resample=e.resample??2,this.do_rescale=e.do_rescale??!0,this.rescale_factor=e.rescale_factor??1/255,this.do_normalize=e.do_normalize,this.do_thumbnail=e.do_thumbnail,this.size=e.size??e.image_size,this.do_resize=e.do_resize??this.size!==void 0,this.size_divisibility=e.size_divisibility??e.size_divisor,this.do_center_crop=e.do_center_crop,this.crop_size=e.crop_size,this.do_convert_rgb=e.do_convert_rgb??!0,this.do_crop_margin=e.do_crop_margin,this.pad_size=e.pad_size,this.do_pad=e.do_pad,this.min_pixels=e.min_pixels,this.max_pixels=e.max_pixels,this.do_pad&&!this.pad_size&&!this.size_divisibility&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=e.do_flip_channel_order??!1,this.config=e}async thumbnail(e,t,n=2){let r=e.height,i=e.width,a=t.height,o=t.width,s=Math.min(r,a),c=Math.min(i,o);return s===r&&c===i?e:(r>i?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=ol(n.data)[0],i=sl(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;e<n.height;++e){let t=e*n.width;for(let d=0;d<n.width;++d)(u[t+d]-r)/i<a&&(o=Math.min(o,d),s=Math.min(s,e),c=Math.max(c,d),l=Math.max(l,e))}return e=await e.crop([o,s,c,l]),e}pad_image(e,t,n,{mode:r=`constant`,center:i=!1,constant_values:a=0}={}){let[o,s,c]=t,l,u;if(typeof n==`number`?(l=n,u=n):n===`square`?l=u=Math.max(o,s):(l=n.width,u=n.height),l!==s||u!==o){let n=new Float32Array(l*u*c);if(Array.isArray(a))for(let e=0;e<n.length;++e)n[e]=a[e%c];else a!==0&&n.fill(a);let[d,f]=i?[Math.floor((l-s)/2),Math.floor((u-o)/2)]:[0,0];for(let t=0;t<o;++t){let r=(t+f)*l,i=t*s;for(let t=0;t<s;++t){let a=(r+t+d)*c,o=(i+t)*c;for(let t=0;t<c;++t)n[a+t]=e[o+t]}}if(r===`symmetric`){if(i)throw Error("`center` padding is not supported when `mode` is set to `symmetric`.");let t=o-1,r=s-1;for(let i=0;i<u;++i){let a=i*l,u=oi(i,t)*s;for(let t=0;t<l;++t){if(i<o&&t<s)continue;let l=(a+t)*c,d=(u+oi(t,r))*c;for(let t=0;t<c;++t)n[l+t]=e[d+t]}}}e=n,t=[u,l,c]}return[e,t]}rescale(e){for(let t=0;t<e.length;++t)e[t]=this.rescale_factor*e[t]}get_resize_output_image_size(e,t){let[n,r]=e.size,i,a;if(this.do_thumbnail){let{height:e,width:n}=t;i=Math.min(e,n)}else Number.isInteger(t)?(i=t,a=this.config.max_size??i):t!==void 0&&(i=t.shortest_edge,a=t.longest_edge);if(i!==void 0||a!==void 0){let e=i===void 0?1:Math.max(i/n,i/r),t=n*e,o=r*e,s=a===void 0?1:Math.min(a/t,a/o),c=Math.floor(Number((t*s).toFixed(2))),l=Math.floor(Number((o*s).toFixed(2)));return this.size_divisibility!==void 0&&([c,l]=Hf([c,l],this.size_divisibility)),[c,l]}if(t!==void 0&&t.width!==void 0&&t.height!==void 0){let e=t.width,i=t.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let t=i/r,a=e/n;Math.abs(1-a)<Math.abs(1-t)?t=a:a=t,i=Vf(t*r,this.config.ensure_multiple_of),e=Vf(a*n,this.config.ensure_multiple_of)}return[e,i]}if(this.size_divisibility!==void 0)return Hf([n,r],this.size_divisibility);throw Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(t)}`)}async resize(e){let[t,n]=this.get_resize_output_image_size(e,this.size);return await e.resize(t,n,{resample:this.resample})}async preprocess(e,{do_normalize:t=null,do_pad:n=null,do_convert_rgb:r=null,do_convert_grayscale:i=null,do_flip_channel_order:a=null}={}){this.do_crop_margin&&(e=await this.crop_margin(e));let[o,s]=e.size;if(r??this.do_convert_rgb?e=e.rgb():i&&(e=e.grayscale()),this.do_resize&&(e=await this.resize(e)),this.do_thumbnail&&(e=await this.thumbnail(e,this.size,this.resample)),this.do_center_crop){let t,n;Number.isInteger(this.crop_size)?(t=this.crop_size,n=this.crop_size):(t=this.crop_size.width,n=this.crop_size.height),e=await e.center_crop(t,n)}let c=[e.height,e.width],l=Float32Array.from(e.data),u=[e.height,e.width,e.channels];if(this.do_rescale&&this.rescale(l),t??this.do_normalize){let t=this.image_mean;Array.isArray(this.image_mean)||(t=Array(e.channels).fill(t));let n=this.image_std;if(Array.isArray(this.image_std)||(n=Array(e.channels).fill(n)),t.length!==e.channels||n.length!==e.channels)throw Error(`When set to arrays, the length of \`image_mean\` (${t.length}) and \`image_std\` (${n.length}) must match the number of channels in the image (${e.channels}).`);for(let r=0;r<l.length;r+=e.channels)for(let i=0;i<e.channels;++i)l[r+i]=(l[r+i]-t[i])/n[i]}if(n??this.do_pad){if(this.pad_size){let t=this.pad_image(l,[e.height,e.width,e.channels],this.pad_size);[l,u]=t}else if(this.size_divisibility){let e=Math.ceil(u[1]/this.size_divisibility)*this.size_divisibility,t=Math.ceil(u[0]/this.size_divisibility)*this.size_divisibility;[l,u]=this.pad_image(l,u,{width:e,height:t})}}if(a??this.do_flip_channel_order){if(u[2]!==3)throw Error(`Flipping channel order is only supported for RGB images.`);for(let e=0;e<l.length;e+=3){let t=l[e];l[e]=l[e+2],l[e+2]=t}}let d=new H(`float32`,l,u).permute(2,0,1);return{original_size:[s,o],reshaped_input_size:c,pixel_values:d}}async _call(e,...t){Array.isArray(e)||(e=[e]);let n=await Promise.all(e.map(e=>this.preprocess(e)));return{pixel_values:lu(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 tl(e,Nd,!0,t);return new this(n)}},Qf={};xr(Qf,{BeitFeatureExtractor:()=>$f,BitImageProcessor:()=>ep,CHMv2ImageProcessor:()=>np,CLIPFeatureExtractor:()=>ip,CLIPImageProcessor:()=>rp,ChineseCLIPFeatureExtractor:()=>tp,ConvNextFeatureExtractor:()=>op,ConvNextImageProcessor:()=>ap,DINOv3ViTImageProcessor:()=>dp,DPTFeatureExtractor:()=>hp,DPTImageProcessor:()=>mp,DeiTFeatureExtractor:()=>cp,DeiTImageProcessor:()=>sp,DetrFeatureExtractor:()=>up,DetrImageProcessor:()=>lp,DonutFeatureExtractor:()=>pp,DonutImageProcessor:()=>fp,EfficientNetImageProcessor:()=>gp,GLPNFeatureExtractor:()=>Cp,Gemma3ImageProcessor:()=>_p,Gemma4ImageProcessor:()=>bp,Glm46VImageProcessor:()=>Sp,GroundingDinoImageProcessor:()=>wp,Idefics3ImageProcessor:()=>Tp,ImageFeatureExtractor:()=>q,ImageProcessor:()=>q,JinaCLIPImageProcessor:()=>Dp,Lfm2VlImageProcessor:()=>Np,LlavaOnevisionImageProcessor:()=>Pp,Mask2FormerImageProcessor:()=>Lp,MaskFormerFeatureExtractor:()=>Ip,MaskFormerImageProcessor:()=>Fp,MobileNetV1FeatureExtractor:()=>zp,MobileNetV1ImageProcessor:()=>Rp,MobileNetV2FeatureExtractor:()=>Vp,MobileNetV2ImageProcessor:()=>Bp,MobileNetV3FeatureExtractor:()=>Up,MobileNetV3ImageProcessor:()=>Hp,MobileNetV4FeatureExtractor:()=>Gp,MobileNetV4ImageProcessor:()=>Wp,MobileViTFeatureExtractor:()=>qp,MobileViTImageProcessor:()=>Kp,NougatImageProcessor:()=>Jp,OwlViTFeatureExtractor:()=>Xp,OwlViTImageProcessor:()=>Yp,Owlv2ImageProcessor:()=>Zp,Phi3VImageProcessor:()=>rm,PixtralImageProcessor:()=>im,PvtImageProcessor:()=>am,Qwen2VLImageProcessor:()=>xp,RTDetrImageProcessor:()=>om,Sam2ImageProcessor:()=>sm,Sam3ImageProcessor:()=>sm,SamImageProcessor:()=>sm,SapiensFeatureExtractor:()=>lm,SapiensImageProcessor:()=>cm,SegformerFeatureExtractor:()=>dm,SegformerImageProcessor:()=>um,SiglipImageProcessor:()=>fm,SmolVLMImageProcessor:()=>Tp,Swin2SRImageProcessor:()=>pm,VLMImageProcessor:()=>Ep,ViTFeatureExtractor:()=>hm,ViTImageProcessor:()=>mm,VitMatteImageProcessor:()=>gm,VitPoseImageProcessor:()=>_m,YolosFeatureExtractor:()=>ym,YolosImageProcessor:()=>vm});var $f=class extends q{},ep=class extends q{},tp=class extends q{},np=class extends q{},rp=class extends q{},ip=class extends rp{},ap=class extends q{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){let t=this.size?.shortest_edge;if(t===void 0)throw Error(`Size dictionary must contain 'shortest_edge' key.`);if(t<384){let n=Math.floor(t/this.crop_pct),[r,i]=this.get_resize_output_image_size(e,{shortest_edge:n});e=await e.resize(r,i,{resample:this.resample}),e=await e.center_crop(t,t)}else e=await e.resize(t,t,{resample:this.resample});return e}},op=class extends ap{},sp=class extends q{},cp=class extends sp{},lp=class extends q{async _call(e){let t=await super._call(e),n=hu([t.pixel_values.dims[0],64,64],1n);return{...t,pixel_mask:n}}post_process_object_detection(...e){return Wf(...e)}post_process_panoptic_segmentation(...e){return Xf(...e)}post_process_instance_segmentation(...e){return Zf(...e)}},up=class extends lp{},dp=class extends q{},fp=class extends q{pad_image(e,t,n,r={}){let[i,a,o]=t,s=this.image_mean;Array.isArray(this.image_mean)||(s=Array(o).fill(s));let c=this.image_std;Array.isArray(c)||(c=Array(o).fill(s));let l=s.map((e,t)=>-e/c[t]);return super.pad_image(e,t,n,{center:!0,constant_values:l,...r})}},pp=class extends fp{},mp=class extends q{},hp=class extends mp{},gp=class extends q{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(e=>e*e))}},_p=class extends q{};function vp(e,t,n,r,i){let a=r*n**2,o=Math.sqrt(a/(e*t)),s=i*n,c=Math.floor(o*e/s)*s,l=Math.floor(o*t/s)*s;if(c===0&&l===0)throw Error(`Attempting to resize to a 0 x 0 image. Resized height should be divisible by \`pooling_kernel_size * patch_size\`=${s}.`);let u=Math.floor(r/i**2)*s;return c===0?(c=s,l=Math.min(Math.floor(t/e)*s,u)):l===0&&(l=s,c=Math.min(Math.floor(e/t)*s,u)),[c,l]}function yp(e,t,n,r,i,a,o){let s=Math.floor(t/i),c=Math.floor(n/i),l=s*c,u=i*i*r,d=new Float32Array(a*u),f=0;for(let t=0;t<s;++t)for(let a=0;a<c;++a)for(let o=0;o<i;++o){let s=(t*i+o)*n*r+a*i*r;for(let t=0;t<i;++t){let n=s+t*r;for(let t=0;t<r;++t)d[f++]=e[n+t]}}let p=new BigInt64Array(a*2).fill(-1n),m=0;for(let e=0;e<s;++e)for(let t=0;t<c;++t)p[m++]=BigInt(t),p[m++]=BigInt(e);return{patches:new H(`float32`,d,[a,u]),positions:new H(`int64`,p,[a,2]),num_soft_tokens:Math.floor(l/o**2)}}var bp=class extends Qr{constructor(e){super(),this.config=e,this.patch_size=e.patch_size??16,this.max_soft_tokens=e.max_soft_tokens??280,this.pooling_kernel_size=e.pooling_kernel_size??3,this.resample=e.resample??3,this.rescale_factor=e.rescale_factor??1/255,this.do_rescale=e.do_rescale??!0,this.do_resize=e.do_resize??!0,this.do_convert_rgb=e.do_convert_rgb??!0}async _call(e){Array.isArray(e)||(e=[e]);let{patch_size:t,pooling_kernel_size:n}=this,r=this.max_soft_tokens*n**2,i=[],a=[],o=[];for(let s of e){if(this.do_convert_rgb&&(s=s.rgb()),this.do_resize){let[e,i]=vp(s.height,s.width,t,r,n);(e!==s.height||i!==s.width)&&(s=await s.resize(i,e,{resample:this.resample}))}let e=Float32Array.from(s.data);if(this.do_rescale)for(let t=0;t<e.length;++t)e[t]*=this.rescale_factor;let{patches:c,positions:l,num_soft_tokens:u}=yp(e,s.height,s.width,s.channels,t,r,n);i.push(c),a.push(l),o.push(u)}return{pixel_values:lu(i,0),image_position_ids:lu(a,0),num_soft_tokens_per_image:o}}},xp=class extends q{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 Yf(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=U(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 H(`int64`,[l,d,f],[1,3]),original_sizes:r,reshaped_input_sizes:i}}},Sp=class extends xp{get_resize_output_image_size(e,t){let n=this.patch_size*this.merge_size,r=this.config.temporal_patch_size??2;return Yf(e.height,e.width,n,this.min_pixels,this.max_pixels,r)}},Cp=class extends q{},wp=class extends q{async _call(e){let t=await super._call(e),n=t.pixel_values.dims,r=_u([n[0],n[2],n[3]]);return{...t,pixel_mask:r}}},Tp=class extends q{constructor(e){super(e),this.do_image_splitting=e.do_image_splitting??!0,this.max_image_size=e.max_image_size}get_resize_for_vision_encoder(e,t){let[n,r]=e.dims.slice(-2),i=r/n;return r>=n?(r=Math.ceil(r/t)*t,n=Math.floor(r/i),n=Math.ceil(n/t)*t):(n=Math.ceil(n/t)*t,r=Math.floor(n*i),r=Math.ceil(r/t)*t),{height:n,width:r}}async _call(e,{do_image_splitting:t=null,return_row_col_info:n=!1}={}){let r;if(!Array.isArray(e))r=[[e]];else{if(e.length===0||!e[0])throw Error(`No images provided.`);r=Array.isArray(e[0])?e:[e]}let i=[],a=[],o=[],s=[],c=[];for(let e of r){let n=await Promise.all(e.map(e=>this.preprocess(e)));s.push(...n.map(e=>e.original_size)),c.push(...n.map(e=>e.reshaped_input_size)),n.forEach(e=>e.pixel_values.unsqueeze_(0));let{longest_edge:r}=this.max_image_size,l;if(t??this.do_image_splitting){let e=Array(n.length),t=Array(n.length);l=await Promise.all(n.map(async(n,i)=>{let a=this.get_resize_for_vision_encoder(n.pixel_values,r),o=await eu(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,U(s,0)})),a.push(e),o.push(t)}else{let e=[r,r];l=await Promise.all(n.map(t=>eu(t.pixel_values,{size:e}))),a.push(Array(n.length).fill(0)),o.push(Array(n.length).fill(0))}i.push(U(l,0))}let l=i.length,[u,d,f,p]=i[0].dims,m,h;if(l===1)m=i[0].unsqueeze_(0),h=hu([l,u,f,p],!0);else{let e=Math.max(...i.map(e=>e.dims.at(0)));h=hu([l,e,f,p],!0);let t=h.data,n=e*f*p;for(let r=0;r<l;++r){let a=i[r].dims[0];if(a<e){i[r]=U([i[r],hu([e-a,d,f,p],0)],0);let o=r*n+a*f*p,s=(r+1)*n;t.fill(!1,o,s)}}m=lu(i,0)}return{pixel_values:m,pixel_attention_mask:h,original_sizes:s,reshaped_input_sizes:c,...n?{rows:a,cols:o}:{}}}async split_image(e,{longest_edge:t}){let n=t,r=t,i=[],[a,o]=e.dims.slice(-2),s=0,c=0;if(a>n||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;n<s;++n)for(let r=0;r<c;++r){let u,d,f,p;n===s-1?(d=a-t,p=a):(d=n*t,p=(n+1)*t),r===c-1?(u=o-l,f=o):(u=r*l,f=(r+1)*l);let m=await iu(e,[d,u],[p,f],[2,3]);i.push(m)}let u=n,d=r;(a!==u||o!==d)&&(e=await eu(e,{size:[u,d]}))}return i.push(e),{frames:i,num_splits_h:s,num_splits_w:c}}},Ep=class extends q{constructor(e){super({do_pad:!0,pad_size:{width:e.image_size,height:e.image_size},...e}),this.constant_values=this.config.background_color.map(e=>e*this.rescale_factor)}pad_image(e,t,n,r){return super.pad_image(e,t,n,{constant_values:this.constant_values,center:!0,...r})}},Dp=class extends q{constructor(e){let{resize_mode:t,fill_color:n,interpolation:r,size:i,...a}=e,o=t===`squash`?{width:i,height:i}:t===`shortest`?{shortest_edge:i}:{longest_edge:i},s=r===`bicubic`?3:2;super({...a,size:o,resample:s,do_center_crop:!0,crop_size:i,do_normalize:!0})}};function Op(e,t){return Math.round(e/t)*t}function kp(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<a?(a=t,o=n):t===a&&s>.5*i*i*n[0]*n[1]&&(o=n)}return o}function Ap(e,t){let n=[],r=/* @__PURE__ */ 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 jp(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;e<n;++e){let n=e*r*d,i=e*o*s*c;for(let e=0;e<o;++e)for(let o=0;o<s;++o){let f=i+(e*s+o)*c;for(let i=0;i<t;++i){let s=(e*t+i)*a+o*t;for(let e=0;e<t;++e){let t=s+e;for(let e=0;e<r;++e)u[f++]=l[n+e*d+t]}}}}return new H(`float32`,u,[n,o*s,c])}function Mp(e,t){let[,n,r]=e.dims,i=new BigInt64Array(t);i.fill(1n,0,n);let a=e;if(n<t){let n=new Float32Array(t*r);n.set(e.data),a=new H(`float32`,n,[1,t,r])}return{padded:a,mask:new H(`int64`,i,[t])}}var Np=class extends q{constructor(e){super(e),this.downsample_factor=e.downsample_factor??2,this.do_image_splitting=e.do_image_splitting??!0,this.min_tiles=e.min_tiles??2,this.max_tiles=e.max_tiles??10,this.use_thumbnail=e.use_thumbnail??!0,this.min_image_tokens=e.min_image_tokens??64,this.max_image_tokens=e.max_image_tokens??256,this.encoder_patch_size=e.encoder_patch_size??e.patch_size??16,this.tile_size=e.tile_size??512,this.max_pixels_tolerance=e.max_pixels_tolerance??2,this.return_row_col_info=e.return_row_col_info??!1;let t=this.max_image_tokens*this.downsample_factor**2,n=this.do_image_splitting?(this.tile_size/this.encoder_patch_size)**2:0;this.max_num_patches=Math.max(t,n)}_is_image_too_large(e,t){let n=this.encoder_patch_size*this.downsample_factor;return Math.max(this.encoder_patch_size,Op(e,n))*Math.max(this.encoder_patch_size,Op(t,n))>this.max_image_tokens*(this.encoder_patch_size*this.downsample_factor)**2*this.max_pixels_tolerance}_get_grid_layout(e,t){let n=Ap(this.min_tiles,this.max_tiles),[r,i]=kp(t/e,n,t,e,this.tile_size);return{grid_width:r,grid_height:i,target_width:this.tile_size*r,target_height:this.tile_size*i}}async _call(e,{return_row_col_info:t=null}={}){let n;n=Array.isArray(e)?Array.isArray(e[0])?e:[e]:[[e]];let r=[],i=[],a=[],o=[],s=[],c=[];for(let e of n){let t=await Promise.all(e.map(e=>this.preprocess(e,{do_pad:!1})));for(let{pixel_values:e}of t){let[,t,n]=e.dims,l=e.unsqueeze_(0),u=this.encoder_patch_size*this.downsample_factor,d=u**2,[f,p]=Yf(Math.max(u,t),Math.max(u,n),u,this.min_image_tokens*d,this.max_image_tokens*d).map(e=>Math.max(u,e)),m,h=1,g=1,_=this._is_image_too_large(t,n),v=this.do_image_splitting&&(this.min_tiles!==1||this.max_tiles!==1);if(_&&v){let{grid_width:e,grid_height:r,target_width:i,target_height:a}=this._get_grid_layout(t,n);h=r,g=e;let o=await eu(l,{size:[a,i]});m=[];for(let t=0;t<r;++t)for(let n=0;n<e;++n){let e=t*this.tile_size,r=n*this.tile_size;m.push(o.slice(null,null,[e,e+this.tile_size],[r,r+this.tile_size]))}this.use_thumbnail&&e*r!==1&&m.push(await eu(l,{size:[p,f]}))}else m=[await eu(l,{size:[p,f]})];for(let e of m){let[,,t,n]=e.dims,{padded:o,mask:s}=Mp(jp(e,this.encoder_patch_size),this.max_num_patches);r.push(o),i.push(s),a.push([Math.floor(t/this.encoder_patch_size),Math.floor(n/this.encoder_patch_size)])}o.push(h),s.push(g),c.push([p,f])}}let l={pixel_values:U(r,0),pixel_attention_mask:lu(i,0),spatial_shapes:new H(`int64`,BigInt64Array.from(a.flat(),BigInt),[a.length,2])};return(t??this.return_row_col_info)&&(l.image_rows=o,l.image_cols=s,l.image_sizes=c),l}},Pp=class extends q{},Fp=class extends q{post_process_panoptic_segmentation(...e){return Xf(...e)}post_process_instance_segmentation(...e){return Zf(...e)}},Ip=class extends Fp{},Lp=class extends Fp{},Rp=class extends q{},zp=class extends Rp{},Bp=class extends q{},Vp=class extends Bp{},Hp=class extends q{},Up=class extends Hp{},Wp=class extends q{},Gp=class extends Wp{},Kp=class extends q{},qp=class extends Kp{},Jp=class extends fp{},Yp=class extends q{post_process_object_detection(...e){return Wf(...e)}},Xp=class extends Yp{},Zp=class extends Yp{},Qp=336,$p=[2,3],{ceil:em,floor:tm,sqrt:nm}=Math,rm=class extends q{constructor(e){super({...e,do_normalize:!0,do_pad:!0,pad_size:`custom`,do_convert_rgb:!0,do_resize:!0}),this._num_crops=e.num_crops}calc_num_image_tokens_from_image_size(e,t){let{num_img_tokens:n}=this.config;return tm((tm(t/Qp)*tm(e/Qp)+1)*n+1+(tm(t/Qp)+1)*nm(n))}get_resize_output_image_size(e,t){let n=this._num_crops,[r,i]=e.size,a=r/i,o=1;for(;o*Math.ceil(o/a)<=n;)o+=1;--o;let s=Math.floor(o*336);return[s,Math.floor(s/a)]}pad_image(e,t,n,r={}){let[i,a]=t,o=Qp*em(i/Qp),s=Qp*em(a/Qp),c=[1,1,1].map((e,t)=>(e-this.image_mean[t])/this.image_std[t]);return super.pad_image(e,t,{width:s,height:o},{center:!0,constant_values:c,...r})}async _call(e,{num_crops:t=null}={}){if(this._num_crops=t??=this.config.num_crops,t<4||nm(t)%1!=0)throw Error(`num_crops must be a square number >= 4`);Array.isArray(e)||(e=[e]);let n=e.length,r=await Promise.all(e.map(e=>this.preprocess(e))),i=r.map(e=>e.original_size),a=r.map(e=>e.reshaped_input_size),o=[];for(let{pixel_values:e}of r){e.unsqueeze_(0);let[n,r]=e.dims.slice(-2),i=await eu(e,{size:[Qp,Qp],mode:`bicubic`});if(t>0){let a=[],s=nm(t),c=tm(r/s),l=tm(n/s);for(let t=0;t<s;++t)for(let i=0;i<s;++i){let o,u,d,f;t===s-1?(u=n-l,f=n):(u=t*l,f=(t+1)*l),i===s-1?(o=r-c,d=r):(o=i*c,d=(i+1)*c);let p=await iu(e,[u,o],[f,d],$p);a.push(p)}let u=await eu(U(a,0),{size:[Qp,Qp],mode:`bicubic`});o.push(U([i,u],0))}else o.push(i)}let s=lu(o,0),c=a.map(e=>e.map(e=>Qp*em(e/Qp)));return{pixel_values:s,original_sizes:i,reshaped_input_sizes:a,image_sizes:new H(`int64`,c.flat(),[n,2]),num_img_tokens:c.map(([e,t])=>this.calc_num_image_tokens_from_image_size(t,e))}}},im=class extends q{get_resize_output_image_size(e,t){let{longest_edge:n}=t;if(n===void 0)throw Error(`size must contain 'longest_edge'`);let[r,i]=e.size,a=Math.max(r,i)/n,o=r,s=i;a>1&&(o=Math.floor(r/a),s=Math.floor(i/a));let{patch_size:c,spatial_merge_size:l}=this.config;if(!l)throw Error(`config must contain 'spatial_merge_size'`);let u=c*l,d=Math.floor((o-1)/u)+1,f=Math.floor((s-1)/u)+1;return[d*u,f*u]}},am=class extends q{},om=class extends q{post_process_object_detection(...e){return Wf(...e)}},sm=class extends q{reshape_input_points(e,t,n,r=!1){e=structuredClone(e);let i=ri(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;r<e.length;++r){let[i,a]=t[r],[o,s]=n[r],c=[s/a,o/i];for(let t=0;t<e[r].length;++t)for(let n=0;n<e[r][t].length;++n)for(let i=0;i<e[r][t][n].length;++i)e[r][t][n][i]*=c[i%2]}return new H(`float32`,Float32Array.from(e.flat(1/0)),i)}add_input_labels(e,t){let n=ri(e);if(n.length===2)n=[1,...n],e=[e];else if(n.length!==3)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(n.some((e,n)=>e!==t.dims[n]))throw Error(`The first ${n.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new H(`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;a<t.length;++a){let c=t[a],l=n[a],u=await eu(e[a],{mode:`bilinear`,size:s});if(u=u.slice(null,null,[0,l[0]],[0,l[1]]),u=await eu(u,{mode:`bilinear`,size:c}),i){let e=u.data,t=new Uint8Array(e.length);for(let n=0;n<e.length;++n)e[n]>r&&(t[n]=1);u=new H(`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}={}){}},cm=class extends q{post_process_semantic_segmentation(...e){return Gf(...e)}},lm=class extends cm{},um=class extends q{post_process_semantic_segmentation(...e){return Gf(...e)}},dm=class extends um{},fm=class extends q{},pm=class extends q{pad_image(e,t,n,r={}){let[i,a,o]=t;return super.pad_image(e,t,{width:a+(n-a%n)%n,height:i+(n-i%n)%n},{mode:`symmetric`,center:!1,constant_values:-1,...r})}},mm=class extends q{},hm=class extends mm{},gm=class extends q{async _call(e,t){Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);let n=await Promise.all(e.map(e=>this.preprocess(e))),r=await Promise.all(t.map(e=>this.preprocess(e,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:lu(n.map((e,t)=>U([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)}}},_m=class extends q{post_process_pose_estimation(e,t,{threshold:n=null}={}){let r=e.tolist(),[i,a,o,s]=e.dims,c=[];for(let e=0;e<i;++e){let i=r[e],a=t[e],l=[];for(let e=0;e<a.length;++e){let t=a[e],r=[],c=[],u=[],d=t.at(-2)/s,f=t.at(-1)/o;for(let e=0;e<i.length;++e){let[t,a]=[0,0],o=0,s=-1/0,l=i[e];for(let e=0;e<l.length;++e){let n=l[e];for(let r=0;r<n.length;++r){let i=n[r];o+=i,s=Math.max(s,i),t+=(r+.5)*i,a+=e*i}}if(n!=null&&s<n)continue;let p=[d*t/o,f*a/o];r.push(p),u.push(e),c.push(s)}l.push({bbox:t,scores:c,labels:u,keypoints:r})}c.push(l)}return c}},vm=class extends q{post_process_object_detection(...e){return Wf(...e)}},ym=class extends vm{},bm=class{static async from_pretrained(e,t={}){let n=await tl(e,Nd,!0,t),r=n.image_processor_type??n.feature_extractor_type,i=Qf[r?.replace(/Fast$/,``)];return i||=(r!==void 0&&A.warn(`Image processor type '${r}' not found, assuming base ImageProcessor. Please report this at ${jd}.`),q),new i(n)}},xm=class extends K{static tokenizer_class=G;static image_processor_class=bm;constructor(e,t,n){super(e,t,n);let{tasks_answer_post_processing_type:r,task_prompts_without_inputs:i,task_prompts_with_input:a}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(r??{})),this.task_prompts_without_inputs=new Map(Object.entries(i??{})),this.task_prompts_with_input=new Map(Object.entries(a??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(e){typeof e==`string`&&(e=[e]);let t=[];for(let n of e)if(this.task_prompts_without_inputs.has(n))t.push(this.task_prompts_without_inputs.get(n));else{for(let[e,r]of this.task_prompts_with_input)if(n.includes(e)){t.push(r.replaceAll(`{input}`,n).replaceAll(e,``));break}t.length!==e.length&&t.push(n)}return t}post_process_generation(e,t,n){let r=this.tasks_answer_post_processing_type.get(t)??`pure_text`;e=e.replaceAll(`<s>`,``).replaceAll(`</s>`,``);let i;switch(r){case`pure_text`:i=e;break;case`description_with_bboxes`:case`bboxes`:case`phrase_grounding`:case`ocr`:let a=r===`ocr`?`quad_boxes`:`bboxes`,o=e.matchAll(this.regexes[a]),s=[],c=[];for(let[e,t,...r]of o)s.push(t?t.trim():s.at(-1)??``),c.push(r.map((e,t)=>(Number(e)+.5)/this.size_per_bin*n[t%2]));i={labels:s,[a]:c};break;default:throw Error(`Task "${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}}},Sm=class extends K{static tokenizer_class=G;static image_processor_class=bm;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;let o=i.repeat(this.image_seq_length);this.full_image_sequence=`

${r}${o}${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}}},Cm=class extends K{static image_processor_class=bm;static feature_extractor_class=Af;static tokenizer_class=G;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;let d=a.repeat(this.audio_seq_length);this.full_audio_sequence=`

${i}${d}${o}

`,this.image_token_id=s,this.boi_token=c,this.image_token=l;let f=l.repeat(this.image_seq_length);this.full_image_sequence=`

${c}${f}${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}}},wm=class extends K{static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(e,t,n){super(e,t,n),this.audio_ms_per_token=this.config.audio_ms_per_token??40,this.audio_seq_length=this.config.audio_seq_length??750,this.image_seq_length=this.config.image_seq_length??280;let{audio_token:r,boa_token:i,eoa_token:a,image_token:o,boi_token:s,eoi_token:c}=this.tokenizer.config;this.audio_token=r,this.boa_token=i,this.eoa_token=a,this.image_token=o,this.boi_token=s,this.eoi_token=c}static async from_pretrained(e,t={}){let[n,r,i]=await Promise.all([tl(e,Pd,!0,t),G.from_pretrained(e,t),el(e,Fd,!1,t)]),a={tokenizer:r};return n.image_processor&&(a.image_processor=new bp(n.image_processor)),n.feature_extractor&&(a.feature_extractor=new yf(n.feature_extractor)),new this(n,a,i)}_compute_audio_num_tokens(e,t){let n=Math.round(t*20/1e3),r=Math.round(t*10/1e3),i=Math.floor(n/2),a=Math.floor((e+i-n-1)/r)+1;if(a<=0)return 0;for(let e=0;e<2;++e)a=Math.floor((a-1)/2)+1;return Math.min(a,this.audio_seq_length)}async _call(e,t=null,n=null,r={}){typeof e==`string`&&(e=[e]);let i;if(t){i=await this.image_processor(t,r);let n=i.num_soft_tokens_per_image,a=0;e=e.map(e=>e.replaceAll(this.image_token,()=>`

${this.boi_token}${this.image_token.repeat(n[a++])}${this.eoi_token}

`))}let a;if(n){let t=Array.isArray(n)?n:[n];a=await this.feature_extractor(t[0],r);let i=this.feature_extractor.config.sampling_rate??16e3,o=0;e=e.map(e=>e.replaceAll(this.audio_token,()=>`

${this.boa_token}${this.audio_token.repeat(this._compute_audio_num_tokens(t[o++].length,i))}${this.eoa_token}

`))}return{...this.tokenizer(e,r),...i,...a}}},Tm=class extends K{static image_processor_class=bm;static tokenizer_class=G;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}}},Em=class extends Tm{static image_token=`<|image|>`},Dm=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;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 H(`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 ${a}.`);e=e.replaceAll(a,a.repeat(i))}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}};function Om(e,t){let n=e.dims.at(-1)-1,r=e.tolist();r.fill(!1,0,1),r.fill(!1,n);let i=t.tolist();return r.map((e,t)=>e?t:null).filter(e=>e!==null).map(e=>i[e])}var km=class extends K{static tokenizer_class=G;static image_processor_class=bm;async _call(e,t,n={}){let r=e?await this.image_processor(e,n):{};return{...t?this.tokenizer(t,n):{},...r}}post_process_grounded_object_detection(e,t,{box_threshold:n=.25,text_threshold:r=.25,target_sizes:i=null}={}){let{logits:a,pred_boxes:o}=e,s=a.dims[0];if(i!==null&&i.length!==s)throw Error(`Make sure that you pass in as many target sizes as the batch dimension of the logits`);let c=a.dims.at(1),l=a.sigmoid(),u=l.max(-1).tolist(),d=o.tolist().map(e=>e.map(e=>Uf(e))),f=[];for(let e=0;e<s;++e){let a=i===null?null:i[e];a!==null&&(d[e]=d[e].map(e=>e.map((e,t)=>e*a[(t+1)%2])));let o=u[e],s=[],p=[],m=[];for(let i=0;i<c;++i){let a=o[i];if(a<=n)continue;let c=d[e][i],u=l[e][i];s.push(a),m.push(c);let f=Om(u.gt(r),t[e]);p.push(f)}f.push({scores:s,boxes:m,labels:this.batch_decode(p)})}return f}};function Am(e,t,n,r,i,a){let o=``;for(let a=0;a<t;++a){for(let t=0;t<n;++t)o+=r+`<row_${a+1}_col_${t+1}>`+i.repeat(e);o+=`
`}return o+=`
${r}${a}`+i.repeat(e)+`${r}`,o}function jm(e,t,n,r){return`${t}${r}`+n.repeat(e)+`${t}`}function Mm(e,t,n,r,i,a){return e===0&&t===0?jm(n,r,i,a):Am(n,e,t,r,i,a)}var Nm=class extends K{static image_processor_class=bm;static tokenizer_class=G;static uses_processor_config=!0;fake_image_token=`<fake_token_around_image>`;image_token=`<image>`;global_img_token=`<global-img>`;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;t<e.length;++t){let n=e[t],r=i[t],l=a[t];s.push(ci(n,this.image_token));let u=r.map((e,t)=>Mm(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;e<u.length;++e)f+=u[e]+d[e+1];c.push(f)}return{...this.tokenizer(c),...r}}},Pm=class extends K{static image_processor_class=bm;static tokenizer_class=G;static uses_processor_config=!0;constructor(e,t,n){super(e,t,n),this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(e,{images:t=null,chat_template:n=`default`}={}){t?Array.isArray(t)||(t=[t]):t=await Promise.all(e.filter(e=>e.images).flatMap(e=>e.images).map(e=>Bf.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 (${s})`);let[c,l,u]=r.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]),d=a(o[0]),f=Array(d.length).fill(!1);for(let e=1;e<o.length;++e){let t=Array(this.num_image_tokens).fill(c),n=a(o[e]);d=ii(d,[l],t,[u],n);let r=Array(this.num_image_tokens).fill(!0);f=ii(f,[!1],r,[!1],Array(n.length).fill(!1))}let p=[1,d.length],m={input_ids:new H(`int64`,d,p),attention_mask:new H(`int64`,Array(d.length).fill(1),p),images_seq_mask:new H(`bool`,f,p),images_emb_mask:new H(`bool`,Array(s*this.num_image_tokens).fill(!0),[1,s,this.num_image_tokens])};if(t&&t.length>0){let e=await this.image_processor(t);return e.pixel_values.unsqueeze_(0),{...m,...e}}return m}},Fm=class extends K{static tokenizer_class=G;static image_processor_class=bm;async _call(e=null,t=null,n={}){if(!e&&!t)throw Error(`Either text or images must be provided`);let r=e?this.tokenizer(e,n):{},i=t?await this.image_processor(t,n):{};return{...r,...i}}},Im=class extends K{static tokenizer_class=G;static image_processor_class=bm;async _call(e,t=null,n={}){let{image_rows:r,image_cols:i,image_sizes:a,...o}=await this.image_processor(e,{...n,return_row_col_info:!0});if(t){let e=this.config.image_token??`<image>`,{tile_size:n=512,downsample_factor:o=2,encoder_patch_size:s=16,use_thumbnail:c=!0}=this.image_processor.config,l=e=>Math.ceil(Math.floor(e/s)/o),u=l(n)**2,d=this.config.image_start_token??`<|image_start|>`,f=this.config.image_end_token??`<|image_end|>`,p=this.config.image_thumbnail??`<|img_thumbnail|>`;Array.isArray(t)||(t=[t]);let m=0;t=t.map(t=>{let n=t.split(e);return n[0]+n.slice(1).map(t=>{let n=m++,[o,s]=a[n],h=r[n],g=i[n],_=l(o)*l(s),v=d;if(h>1||g>1){let t=e.repeat(u);for(let e=0;e<h;++e)for(let n=0;n<g;++n)v+=`<|img_row_${e+1}_col_${n+1}|>`+t;c&&(v+=p+e.repeat(_))}else v+=e.repeat(_);return v+f+t}).join(``)})}return{...o,...t?this.tokenizer(t,n):{}}}},Lm=class extends K{static tokenizer_class=G;static image_processor_class=bm;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;e<t.length;++e)t[e]=t[e].replace(i,i.repeat(s))}let i=t?this.tokenizer(t,n):{};return{...r,...i}}},Rm={char:[`char_decode`,1],bpe:[`bpe_decode`,2],wp:[`wp_decode`,102]},zm=class extends K{static tokenizer_class=G;static image_processor_class=bm;get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(e,t){if(!Rm.hasOwnProperty(t))throw Error(`Format ${t} is not supported.`);let[n,r]=Rm[t],i=this[n].bind(this),[a,o]=e.dims,s=[],c=[],l=e.tolist();for(let e=0;e<a;++e){let t=l[e],n=[],i=[];for(let e=1;e<o;++e){let[a,o]=sl(il(t[e]));if(i.push(a),o==r)break;n.push(o)}let a=i.length>0?i.reduce((e,t)=>e*t,1):0;c.push(n),s.push(a)}return[i(c),s]}char_decode(e){return this.char_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}bpe_decode(e){return this.bpe_tokenizer.batch_decode(e)}wp_decode(e){return this.wp_tokenizer.batch_decode(e).map(e=>e.replaceAll(` `,``))}batch_decode([e,t,n]){let[r,i]=this._decode_helper(e,`char`),[a,o]=this._decode_helper(t,`bpe`),[s,c]=this._decode_helper(n,`wp`),l=[],u=[];for(let e=0;e<r.length;++e){let[t,n]=sl([i[e],o[e],c[e]]);l.push([r[e],a[e],s[e]][n]),u.push(t)}return{generated_text:l,scores:u,char_preds:r,bpe_preds:a,wp_preds:s}}static async from_pretrained(...e){let t=await super.from_pretrained(...e),n=await G.from_pretrained(`Xenova/gpt2`),r=await G.from_pretrained(`Xenova/bert-base-uncased`);return t.components={image_processor:t.image_processor,char_tokenizer:t.tokenizer,bpe_tokenizer:n,wp_tokenizer:r},t}async _call(e,t=null){let n=await this.image_processor(e);return t&&(n.labels=this.tokenizer(t).input_ids),n}},Bm=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;async _call(e){return await this.feature_extractor(e)}},Vm=class extends K{static tokenizer_class=G;static image_processor_class=bm},Hm=`<image>`;function Um(e,t,n,r,i){return`${r.repeat(n*i)}${t}${e}
`}var Wm=class extends K{static tokenizer_class=G;static image_processor_class=bm;static uses_processor_config=!1;async _call(e,t=null,n={}){t||=(A.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(Hm))?a=t.map(e=>{let t=e.replaceAll(Hm,Hm.repeat(i)),n=t.lastIndexOf(Hm),a=n===-1?0:n+Hm.length;return t.slice(0,a)+r+t.slice(a)+`
`}):(A.warn("You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `<image>` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),a=t.map(t=>Um(t,r,i,Hm,e.length)));let o=this.tokenizer(a,n);return{...await this.image_processor(e,n),...o}}},Gm=`<|image|>`,Km=/<\|image_\d+\|>/g,qm=class extends K{static image_processor_class=bm;static tokenizer_class=G;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(Km).join(Gm.repeat(s[t])));a=this.tokenizer(c,{padding:n,truncation:r});let l=this.tokenizer._tokenizer.token_to_id(Gm);a.input_ids.map_(e=>e==l?-e:e)}else a=this.tokenizer(e);return{...a,...o}}},Jm=class extends K{static tokenizer_class=G;static image_processor_class=bm;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;e<t.length;++e){let n=i.repeat(d),r=n+a,s=n+o,c=r.repeat(u-1)+s;t[e]=t[e].replace(i,c)}}let i=t?this.tokenizer(t,n):{};return{...r,...i}}},Ym=class extends K{static feature_extractor_class=Sf;async _call(e){return await this.feature_extractor(e)}post_process_speaker_diarization(...e){return this.feature_extractor.post_process_speaker_diarization(...e)}get sampling_rate(){return this.feature_extractor.config.sampling_rate}},Xm=class extends Tm{},Zm=class extends Xm{},Qm=class extends K{static image_processor_class=bm;async _call(...e){return await this.image_processor(...e)}post_process_masks(...e){return this.image_processor.post_process_masks(...e)}reshape_input_points(...e){return this.image_processor.reshape_input_points(...e)}},$m=class extends Qm{},eh=class extends $m{},th=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;async _call(e){return await this.feature_extractor(e)}},nh=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;static uses_processor_config=!0;async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){let i=t.length,{input_features:a}=await this.feature_extractor(t,{...n,max_length:i}),o=Math.round(i/this.config.encoder_ds_factor+1e-4),s=1+Math.ceil(o/this.config.stack_factor);r.audio_token_len=[s],r.audio_values=a;let c=this.config.audio_placeholder;if(!e.includes(c))throw Error(`The input text does not contain the image token ${c}.`);e=e.replaceAll(c,c.repeat(s))}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}},rh=`[AUDIO]`,ih=`[BEGIN_AUDIO]`,ah=375;function oh(e,t){let n=[];for(let r=0;r<e.length;r+=t)n.push(e.subarray(r,Math.min(r+t,e.length)));return n}var sh=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;static uses_processor_config=!1;async _call(e,t=null,n={}){if(Array.isArray(e))throw Error(`Batched inputs are not supported yet.`);let r={};if(t){if(!e.includes(rh))throw Error(`The input text does not contain the audio token ${rh}.`);Array.isArray(t)||(t=[t]);let i=e.split(rh),a=i.length-1;if(a!==t.length)throw Error(`The number of audio inputs (${t.length}) does not match the number of audio tokens in the text (${a}).`);let o=this.feature_extractor.config.n_samples,s=t.map(e=>oh(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?U(u,0):u[0];let d=i[0];for(let e=0;e<c.length;++e){d+=ih;for(let t=0;t<c[e];++t)d+=rh.repeat(ah);d+=i[e+1]}e=d}return{...this.tokenizer(e,{add_special_tokens:!1,...n}),...r}}},ch=32,lh=6,uh=8,dh=10,fh=32,ph=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;static uses_processor_config=!1;get num_mel_frames_first_audio_chunk(){return(lh+1)*uh}get num_samples_first_audio_chunk(){let{hop_length:e,n_fft:t}=this.feature_extractor.config;return(this.num_mel_frames_first_audio_chunk-1)*e+Math.floor(t/2)}get num_samples_per_audio_chunk(){let{hop_length:e,n_fft:t}=this.feature_extractor.config;return uh*e+t}get num_right_pad_tokens(){return lh+1+dh}get audio_length_per_tok(){return uh}get raw_audio_length_per_tok(){return uh*this.feature_extractor.config.hop_length}async _call(e,{is_streaming:t=!1,is_first_audio_chunk:n=!0}={}){if(Rd(e,`VoxtralRealtimeProcessor`),!t&&!n)throw Error("In non-streaming mode (`is_streaming=false`), `is_first_audio_chunk` must be `true`.");if(n){if(t){let t=ch*this.raw_audio_length_per_tok,n=new Float32Array(t+e.length);n.set(e,t);let r=await this.feature_extractor(n,{center:!0}),i=1+(ch+lh),a=new BigInt64Array(i).fill(BigInt(fh));return a[0]=1n,{input_ids:new H(`int64`,a,[1,i]),...r}}{let t=this.num_right_pad_tokens*this.raw_audio_length_per_tok,n=new Float32Array(e.length+t);return n.set(e),await this.feature_extractor(n,{center:!0})}}return await this.feature_extractor(e,{center:!1})}},mh=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;async _call(e){return await this.feature_extractor(e)}},hh=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;async _call(e){return await this.feature_extractor(e)}},gh=class extends K{static tokenizer_class=G;static feature_extractor_class=Af;async _call(e){return await this.feature_extractor(e)}},_h=class{static async from_pretrained(e,t={}){let n=await tl(e,Nd,!0,t),{image_processor_type:r,feature_extractor_type:i,processor_class:a}=n;if(a&&Id[a])return Id[a].from_pretrained(e,t);if(!r&&!i)throw Error("No `image_processor_type` or `feature_extractor_type` found in the config.");let o={};if(r){let e=Qf[r.replace(/Fast$/,``)];if(!e)throw Error(`Unknown image_processor_type: '${r}'.`);o.image_processor=new e(n)}if(i){let e=Qf[i];if(e)o.image_processor=new e(n);else{let e=zd[i];if(!e)throw Error(`Unknown feature_extractor_type: '${i}'.`);o.feature_extractor=new e(n)}}return new K({},o,null)}};async function vh(e,t){return await tl(e,`config.json`,!0,t)}function yh(e){let t={},n={};switch(e.model_type){case`llava`:case`paligemma`:case`gemma3`:case`florence2`:case`llava_onevision`:case`idefics3`:case`granite_speech`:case`ultravox`:case`voxtral`:case`voxtral_realtime`:case`smolvlm`:case`gemma3n`:case`gemma4`:case`lfm2_vl`:case`chatterbox`:case`lighton_ocr`:case`glm_ocr`:case`mistral3`:case`qwen2_5_vl`:case`qwen3_vl`:case`qwen3_vl_moe`:n=yh(e.text_config);break;case`moondream1`:n=yh(e.phi_config);break;case`musicgen`:n=yh(e.decoder);break;case`multi_modality`:n=yh(e.language_config);break;case`gpt2`:case`gptj`:case`jais`:case`codegen`:case`gpt_bigcode`:t.num_heads=`n_head`,t.num_layers=`n_layer`,t.hidden_size=`n_embd`;break;case`gpt_neox`:case`stablelm`:case`opt`:case`falcon`:case`modernbert-decoder`:t.num_heads=`num_attention_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`;break;case`gpt_oss`:case`llama`:case`llama4_text`:case`nanochat`:case`apertus`:case`arcee`:case`afmoe`:case`lfm2`:case`lfm2_moe`:case`smollm3`:case`olmo`:case`olmo2`:case`olmo3`:case`mobilellm`:case`granite`:case`granitemoehybrid`:case`cohere`:case`cohere2`:case`mistral`:case`voxtral_realtime_text`:case`voxtral_realtime_encoder`:case`starcoder2`:case`qwen2`:case`qwen2_moe`:case`qwen2_vl`:case`qwen2_vl_text`:case`qwen2_5_vl_text`:case`qwen3_moe`:case`qwen3_vl_text`:case`qwen3_vl_moe_text`:case`phi`:case`phi3`:case`phi3_v`:case`llava_qwen2`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`,t.num_attention_heads=`num_attention_heads`,t.dim_kv=`head_dim`;break;case`qwen3`:case`solar_open`:case`glm_ocr_text`:case`gemma`:case`gemma2`:case`vaultgemma`:case`gemma3_text`:case`gemma3n_text`:case`gemma4_text`:case`glm`:case`helium`:case`ernie4_5`:case`hunyuan_v1_dense`:case`falcon_h1`:case`nemotron_h`:case`ministral`:case`ministral3`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.dim_kv=`head_dim`;break;case`openelm`:t.num_heads=`num_kv_heads`,t.num_layers=`num_transformer_layers`,t.dim_kv=`head_dim`;break;case`gpt_neo`:case`donut-swin`:t.num_heads=`num_heads`,t.num_layers=`num_layers`,t.hidden_size=`hidden_size`;break;case`bloom`:t.num_heads=`n_head`,t.num_layers=`n_layer`,t.hidden_size=`hidden_size`;break;case`mpt`:t.num_heads=`n_heads`,t.num_layers=`n_layers`,t.hidden_size=`d_model`;break;case`exaone`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_layers`,t.dim_kv=`head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`youtu`:case`deepseek_v3`:case`deepseek_v4`:case`glm_moe_dsa`:case`mistral4`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.dim_kv=e.model_type===`deepseek_v4`?`head_dim`:`qk_head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`zaya`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`,t.dim_kv=`head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`hrm_text`:t.num_heads=`num_key_value_heads`,t.num_layers=`num_hidden_layers`,t.hidden_size=`hidden_size`,t.dim_kv=`head_dim`,t.num_attention_heads=`num_attention_heads`;break;case`t5`:case`mt5`:case`longt5`:t.num_decoder_layers=`num_decoder_layers`,t.num_decoder_heads=`num_heads`,t.decoder_dim_kv=`d_kv`,t.num_encoder_layers=`num_layers`,t.num_encoder_heads=`num_heads`,t.encoder_dim_kv=`d_kv`;break;case`bart`:case`mbart`:case`marian`:case`whisper`:case`lite-whisper`:case`m2m_100`:case`blenderbot`:case`blenderbot-small`:case`florence2_language`:t.num_decoder_layers=`decoder_layers`,t.num_decoder_heads=`decoder_attention_heads`,t.decoder_hidden_size=`d_model`,t.num_encoder_layers=`encoder_layers`,t.num_encoder_heads=`encoder_attention_heads`,t.encoder_hidden_size=`d_model`;break;case`speecht5`:t.num_decoder_layers=`decoder_layers`,t.num_decoder_heads=`decoder_attention_heads`,t.decoder_hidden_size=`hidden_size`,t.num_encoder_layers=`encoder_layers`,t.num_encoder_heads=`encoder_attention_heads`,t.encoder_hidden_size=`hidden_size`;break;case`trocr`:t.num_encoder_layers=t.num_decoder_layers=`decoder_layers`,t.num_encoder_heads=t.num_decoder_heads=`decoder_attention_heads`,t.encoder_hidden_size=t.decoder_hidden_size=`d_model`;break;case`musicgen_decoder`:t.num_encoder_layers=t.num_decoder_layers=`num_hidden_layers`,t.num_encoder_heads=t.num_decoder_heads=`num_attention_heads`,t.encoder_hidden_size=t.decoder_hidden_size=`hidden_size`;break;case`moonshine`:t.num_decoder_layers=`decoder_num_hidden_layers`,t.num_decoder_heads=`decoder_num_key_value_heads`,t.num_encoder_layers=`encoder_num_hidden_layers`,t.num_encoder_heads=`encoder_num_key_value_heads`,t.encoder_hidden_size=t.decoder_hidden_size=`hidden_size`;break;case`cohere_asr`:t.num_decoder_layers=`num_hidden_layers`,t.num_decoder_heads=`num_key_value_heads`,t.decoder_hidden_size=`hidden_size`,t.decoder_dim_kv=`head_dim`;let{num_hidden_layers:r,num_attention_heads:i,hidden_size:a}=e.encoder_config;n={num_encoder_layers:r,num_encoder_heads:i,encoder_hidden_size:a,encoder_dim_kv:e.head_dim};break;case`vision-encoder-decoder`:let 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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 H)){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\` expected to have length ${e} but got ${r.length}`);o=r}else o=Array.from({length:e},()=>[r]);o=bg(o)}return s.decoder_attention_mask=vu(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=sg.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=jg(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,si(v,this._return_dict_in_generate_keys))}let e=f(_,v.logits.slice(null,-1,null).to(`float32`)),n=[];for(let t=0;t<e.dims.at(0);++t){let r=e[t],i=await h(r);for(let[e,r]of i){let i=BigInt(e);g[t]+=r,_[t].push(i),n.push([i]);break}}if(i&&i.put(n),p(_).every(e=>e))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=new H(`int64`,_.flat(),[_.length,_[0].length]),S=Ag(v,s.past_key_values),C=new Set(Object.values(S));for(let e of Object.values(v))e.location===`gpu-buffer`&&!C.has(e)&&e.dispose();return`past_key_values`in a||t.return_dict_in_generate||await S.dispose(),t.return_dict_in_generate?{sequences:x,past_key_values:S,...y,...b}:x}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 J(r,si(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 Dg(e,t){let{encoder_outputs:n,input_ids:r,decoder_input_ids:i,decoder_attention_mask:a,...o}=t;return n||=(await Og(e,si(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 Fg(e,o,!0)}async function Og(e,t){let n=e.sessions.model,r=si(t,n.inputNames);if(n.inputNames.includes(`inputs_embeds`)&&!r.inputs_embeds){if(!t.input_ids)throw Error("Both 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Ig(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,num_logits_to_keep:f=null,...p}){if(!c){c=await e.encode_text({input_ids:a,...p});let s=si(p,r);if(Object.keys(s).length>0){if(a.dims[1]!==1){let e=await t({...s,...p});({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=U([_u([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}=p;[s]=e.get_rope_index(a,t,n,o)}return await 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t=0;t<3;++t)n[t][r][e]=a[t*i/3+s];++s}return a}_get_multimodal_rope_positions({filtered_ids:e,image_grid_thw_list:t,video_grid_thw_list:n,spatial_merge_size:r,state:i}){let{image_token_id:a,video_token_id:o,vision_start_token_id:s}=this.config,c=e,l=c.reduce((e,t,n)=>(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;e<l.length;++e){let e=c.findIndex((e,t)=>t>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;l<u?([g,_,v]=t[i.image_index],++i.image_index,--m,d=l):([g,_,v]=n[i.video_index],++i.video_index,--h,d=u);let[y,b,x]=[Number(g),Math.floor(Number(_)/r),Math.floor(Number(v)/r)],S=d-p,C=f.length>0?sl(f.at(-1))[0]+1:0;f.push(Array.from({length:3*S},(e,t)=>C+t%S));let 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this._get_text_only_rope_index(e,r)}async encode_image({pixel_values:e,image_grid_thw:t}){return(await J(this.sessions.vision_encoder,{pixel_values:e,[this.image_grid_thw_name]:t})).image_features}_merge_input_ids_with_image_features(e){return Gg({image_token_id:this.config.image_token_id,...e})}prepare_inputs_for_generation(e,t,n){if(Pg(this,t,1n),!t.attention_mask||t.position_ids||!(this.sessions.decoder_model_merged??this.sessions.model).inputNames.includes(`position_ids`))return t;if(!t.past_key_values)[t.position_ids,t.rope_deltas]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask);else{t.pixel_values=null;let e=t.past_key_values.get_seq_length();if(e<t.input_ids.dims[1]){let[n,r]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask);t.rope_deltas=r,t.position_ids=n.slice(null,null,[e,null]),t.input_ids=t.input_ids.slice(null,[e,null])}else{t.rope_deltas||([,t.rope_deltas]=this.get_rope_index(t.input_ids,t.image_grid_thw,t.video_grid_thw,t.attention_mask));let n=BigInt(e),r=t.rope_deltas.map(e=>n+e);t.position_ids=lu([r,r,r],0)}}return t}},$b=class extends Qb{},ex=class extends Qb{image_grid_thw_name=`image_grid_thw`},tx=class extends $b{image_grid_thw_name=`image_grid_thw`},nx=class extends ex{get_vision_position_ids(e,t,n,r){let i=Math.floor(t[0]/n),a=Math.floor(t[1]/r),o=Math.floor(t[2]/r),s=a*o*i,c=Array.from({length:s},()=>e),l=Array.from({length:s},(t,n)=>e+Math.floor(n/(o*i))),u=Array.from({length:s},(t,n)=>e+n%o);return[...c,...l,...u]}_get_multimodal_rope_positions({filtered_ids:e,image_grid_thw_list:t,video_grid_thw_list:n,spatial_merge_size:r,state:i}){let{image_token_id:a}=this.config,o=[],s=0,c=+(e[0]==a);for(let t=1;t<=e.length;++t){let n=t<e.length?+(e[t]==a):-1;n!==c&&(o.push([c,s,t]),s=t,c=n)}let l=0,u=[];for(let[e,n,a]of o)if(e===0){let e=a-n;u.push(Array.from({length:3*e},(t,n)=>l+n%e)),l+=e}else{let e=t[i.image_index++].map(Number),n=e[0];u.push(this.get_vision_position_ids(l,e,n,r)),l+=Math.max(e[1],e[2])/r}return u}},rx=class extends Z{},ix=class extends rx{},ax=class extends rx{},ox=class extends Z{},sx=class extends ox{},cx=class extends ox{},lx=class extends Z{},ux=class extends lx{},dx=class extends lx{},fx=class extends Z{},px=class extends fx{},mx=class extends fx{},hx=class extends 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Q={MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES:hk,MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES:gk,MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES:pk,MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES:mk,MODEL_FOR_MASKED_LM_MAPPING_NAMES:bk,MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES:xk,MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES:Ek,MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES:kk,MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES:Ak,MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES:jk,MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES:Dk,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES:Ok,MODEL_FOR_MASK_GENERATION_MAPPING_NAMES:Mk,MODEL_FOR_CTC_MAPPING_NAMES:Nk,MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES:Pk,MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES:Fk,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES:Ik,MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES:Tk,MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES:Lk,MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES:zk,MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES:Bk,MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES:Vk,MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES:Hk,MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES:Uk,MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES:Ck,MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES:wk,MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES:_k,MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES:fk,MODEL_FOR_CAUSAL_LM_MAPPING_NAMES:vk,MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES:Sk};yg(Q);var 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MODEL_CLASS_MAPPINGS=[Q.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]};(class extends ${static MODEL_CLASS_MAPPINGS=[Q.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]}),class extends ${static MODEL_CLASS_MAPPINGS=[Q.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]};async function _A(e){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>Bf.read(e)))}async function vA(e,t){return Array.isArray(e)||(e=[e]),await Promise.all(e.map(e=>typeof e==`string`||e instanceof URL?Ud(e,t):e instanceof Float64Array?new Float32Array(e):e))}function yA(e,t){t&&(e=e.map(e=>e|0));let[n,r,i,a]=e;return{xmin:n,ymin:r,xmax:i,ymax:a}}var bA=class extends Qr{constructor({task:e,model:t,tokenizer:n=null,processor:r=null}){super(),this.task=e,this.model=t,this.tokenizer=n,this.processor=r}async dispose(){await this.model.dispose()}},xA=class extends bA{async _call(e,{top_k:t=1}={}){let n=this.tokenizer(e,{padding:!0,truncation:!0}),r=await this.model(n),{problem_type:i,id2label:a}=this.model.config,o=i===`multi_label_classification`?e=>e.sigmoid():e=>new H(`float32`,il(e.data),e.dims),s=[];for(let e of r.logits){let n=await nu(o(e),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));t===1?s.push(...i):s.push(i)}return Array.isArray(e)||t===1?s:s[0]}},SA=class extends bA{async _call(e,{ignore_labels:t=[`O`],aggregation_strategy:n=`none`}={}){if(n!==`none`&&n!==`simple`)throw Error(`Invalid aggregation_strategy: "${n}". Must be one of "none" or "simple".`);let r=Array.isArray(e),i=this.tokenizer(r?e:[e],{padding:!0,truncation:!0}),a=(await this.model(i)).logits,o=this.model.config.id2label,s=[];for(let e=0;e<a.dims[0];++e){let r=i.input_ids[e].tolist(),c=a[e],l=[];for(let e=0;e<c.dims[0];++e){let n=c[e],i=sl(n.data)[1],a=o?o[i]:`LABEL_${i}`;if(t.includes(a))continue;let s=this.tokenizer.decode([r[e]],{skip_special_tokens:!0});if(s===``)continue;let u=il(n.data);l.push({entity:a,score:u[i],index:e,word:s})}s.push(n===`simple`?wA(l,r,this.tokenizer):l)}return r?s:s[0]}};function CA(e){let t=e[0];return e[1]===`-`&&(t===`B`||t===`I`||t===`E`||t===`S`)?[t,e.slice(2)]:[`I`,e]}function wA(e,t,n){let r=[],i=null;for(let t=0;t<e.length;++t){let[n,a]=CA(e[t].entity);i===a&&n!==`B`&&n!==`S`?(r[r.length-1].end=t+1,n===`E`&&(i=null)):(r.push({tag:a,start:t,end:t+1}),i=n===`S`?null:a)}return r.map(({tag:r,start:i,end:a})=>{let o=0,s=[];for(let n=i;n<a;++n)o+=e[n].score,s.push(t[e[n].index]);return{entity_group:r,score:o/(a-i),word:n.decode(s,{skip_special_tokens:!0})}})}var TA=class extends bA{async _call(e,t,{top_k:n=1}={}){let r=this.tokenizer(e,{text_pair:t,padding:!0,truncation:!0}),i=Array.isArray(e),{start_logits:a,end_logits:o}=await this.model(r),s=r.input_ids.tolist(),c=r.attention_mask.tolist(),{all_special_ids:l,sep_token_id:u}=this.tokenizer,d=[];for(let e=0;e<a.dims[0];++e){let t=s[e],r=t.findIndex(e=>e==u),i=a[e].tolist(),f=o[e].tolist();for(let n=1;n<i.length;++n)(c[e]==0||n<=r||l.findIndex(e=>e==t[n])!==-1)&&(i[n]=-1/0,f[n]=-1/0);let p=il(i).map((e,t)=>[e,t]),m=il(f).map((e,t)=>[e,t]);p[0][0]=0,m[0][0]=0;let h=ai(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;e<Math.min(h.length,n);++e){let[n,r,i]=h[e],a=t.slice(n,r+1),o=this.tokenizer.decode(a,{skip_special_tokens:!0});g.push({answer:o,score:i})}n===1?d.push(...g):d.push(g)}return i?d:d[0]}},EA=class extends bA{async _call(e,{top_k:t=5}={}){let{mask_token_id:n,mask_token:r}=this.tokenizer,i=this.tokenizer(e,{padding:!0,truncation:!0}),{logits:a}=await this.model(i),o=[],s=i.input_ids.tolist();for(let e=0;e<s.length;++e){let i=s[e],c=i.findIndex(e=>e==n);if(c===-1)throw Error(`Mask token (${r}) not found in text.`);let l=a[e][c],u=await nu(new H(`float32`,il(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]}},DA=class extends bA{_default_generation_config={max_new_tokens:256};_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,...this._default_generation_config,...t});return r.batch_decode(o,{skip_special_tokens:!0}).map(e=>({[this._key]:e}))}},OA=class extends DA{_key=`summary_text`},kA=class extends DA{_key=`translation_text`};function AA(e){return Array.isArray(e)&&e.every(e=>`role`in e&&`content`in e)}var jA=class extends bA{_default_generation_config={max_new_tokens:256};async _call(e,t={}){let{add_special_tokens:n,return_full_text:r,tools:i,documents:a,chat_template:o,tokenizer_encode_kwargs:s,...c}=t,l=!1,u=!1,d=n??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,f=s,p;if(typeof e==`string`)p=e=[e];else if(Array.isArray(e)&&e.every(e=>typeof e==`string`))l=!0,p=e;else{if(AA(e))e=[e];else if(Array.isArray(e)&&e.every(AA))l=!0;else throw Error(`Input must be a string, an array of strings, a Chat, or an array of Chats`);u=!0;let t={tokenize:!1,add_generation_prompt:!0,...si({tools:i,documents:a,chat_template:o},[`tools`,`documents`,`chat_template`]),...f};p=e.map(e=>this.tokenizer.apply_chat_template(e,t)),d=!1,f=void 0}let m=u?!1:r??!0;this.tokenizer.padding_side=`left`;let h=this.tokenizer(p,{add_special_tokens:d,padding:!0,truncation:!0,...f}),g=await this.model.generate({...h,...this._default_generation_config,...c}),_=this.tokenizer.batch_decode(g,{skip_special_tokens:!0}),v;!m&&h.input_ids.dims.at(-1)>0&&(v=this.tokenizer.batch_decode(h.input_ids,{skip_special_tokens:!0}).map(e=>e.length));let y=Array.from({length:e.length},e=>[]);for(let t=0;t<_.length;++t){let n=Math.floor(t/g.dims[0]*e.length);v&&(_[t]=_[t].slice(v[n])),y[n].push({generated_text:u?[...e[n],{role:`assistant`,content:_[t]}]:_[t]})}return!l&&y.length===1?y[0]:y}},MA=class extends bA{constructor(e){super(e),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([e,t])=>[e.toLowerCase(),t])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(A.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&&(A.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=>il(e)[1]):il(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]}},NA=class extends bA{async _call(e,{top_k:t=5}={}){let n=this.processor.feature_extractor.config.sampling_rate,r=await vA(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 nu(new H(`float32`,il(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]}},PA=class extends bA{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 vA(e,o),c=[];for(let e of s){let n=await this.processor(e),r=il((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}},FA=class extends bA{_default_generation_config={};async _call(e,t={}){switch(t={...this._default_generation_config,...t},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&&A.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),t.task&&A.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 vA(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(sl(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 vA(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=>pl(e,2))}else e.tokens=t[0].tolist();e.stride=e.stride.map(e=>e/f)}let[s,c]=this.tokenizer._decode_asr(t,{time_precision:u,return_timestamps:n,force_full_sequences:i});m.push({text:s,...c})}return s?m[0]:m}async _call_moonshine(e,t){let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor.config.sampling_rate,a=await vA(r,i),o=[];for(let e of a){let n=await this.processor(e),r=Math.floor(e.length/i)*6,a=await this.model.generate({max_new_tokens:r,...t,...n}),s=this.tokenizer.batch_decode(a,{skip_special_tokens:!0})[0];o.push({text:s})}return n?o[0]:o}async _call_cohere_asr(e,t){let n=!Array.isArray(e),r=n?[e]:e,i=this.processor.feature_extractor,a=i.config.sampling_rate,o=await vA(r,a),s=t.language??`en`,c=this.processor.get_decoder_prompt_ids(s),l=[];for(let e of o){let n=i.split_audio(e),r=[];for(let e of n){let n=await this.processor(e),i=await this.model.generate({...n,decoder_input_ids:c,...t}),a=this.tokenizer.decode(i[0].tolist(),{skip_special_tokens:!0}).trim();r.push(a)}let a=this.processor.constructor.join_chunks(r,s);l.push({text:a})}return n?l[0]:l}},IA=class extends bA{DEFAULT_VOCODER_ID=`Xenova/speecht5_hifigan`;constructor(e){super(e),this.vocoder=e.vocoder??null}async _prepare_speaker_embeddings(e,t){if((typeof e==`string`||e instanceof URL)&&(e=new Float32Array(await(await k.fetch(e)).arrayBuffer())),e instanceof Float32Array)e=new H(`float32`,e,[e.length]);else if(!(e instanceof H))throw Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");if(t>1){if(e.dims[0]===1)e=e.repeat(t,1);else if(e.dims[0]!==t)throw Error(`Expected speaker embeddings batch size to be 1 or ${t}, but got ${e.dims[0]}.`)}return e}_postprocess_waveform(e,t,n,r=null){let i=t.data,[a,o]=t.dims,s=r?r.data:null,c=[];for(let e=0;e<a;++e){let t=s?Math.min(Math.ceil(s[e]),o):o,r=e*o;c.push(new lf(i.slice(r,r+t),n))}return Array.isArray(e)?c:c[0]}async _call(e,t){return this.processor?this._call_text_to_spectrogram(e,t):this.model.config.model_type===`supertonic`?this._call_supertonic(e,t):this._call_text_to_waveform(e)}async _call_supertonic(e,{speaker_embeddings:t,num_inference_steps:n,speed:r}){if(!t)throw Error(`Speaker embeddings must be provided for Supertonic models.`);let{sampling_rate:i,style_dim:a}=this.model.config,o=this.tokenizer(e,{padding:!0,truncation:!0}),s=o.input_ids.dims[0];t=await this._prepare_speaker_embeddings(t,s),t=t.view(s,-1,a);let{waveform:c,durations:l}=await this.model.generate_speech({...o,style:t,num_inference_steps:n,speed:r});return this._postprocess_waveform(e,c,i,l)}async _call_text_to_waveform(e){let t=this.tokenizer(e,{padding:!0,truncation:!0}),{waveform:n}=await this.model(t),r=this.model.config.sampling_rate;return this._postprocess_waveform(e,n,r)}async _call_text_to_spectrogram(e,{speaker_embeddings:t}){this.vocoder||=(A.info(`No vocoder specified, using default HifiGan vocoder.`),await Jk.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:`fp32`}));let{input_ids:n}=this.tokenizer(e,{padding:!0,truncation:!0}),r=n.dims[0];t=await this._prepare_speaker_embeddings(t,r),t=t.view(r,-1);let{waveform:i}=await this.model.generate_speech(n,t,{vocoder:this.vocoder}),a=this.processor.feature_extractor.config.sampling_rate;return this._postprocess_waveform(e,i,a)}},LA=class extends bA{async _call(e,t={}){let n=Array.isArray(e),r=await _A(e),{pixel_values:i}=await this.processor(r),a=[];for(let e of i){e.dims=[1,...e.dims];let n=await this.model.generate({inputs:e,...t}),r=this.tokenizer.batch_decode(n,{skip_special_tokens:!0}).map(e=>({generated_text:e.trim()}));a.push(r)}return n?a:a[0]}},RA=class extends bA{async _call(e,{top_k:t=5}={}){let n=await _A(e),{pixel_values:r}=await this.processor(n),i=await this.model({pixel_values:r}),{id2label:a}=this.model.config,o=[];for(let e of i.logits){let n=await nu(new H(`float32`,il(e.data),e.dims),t),r=n[0].tolist(),i=n[1].tolist().map((e,t)=>({label:a?a[e]:`LABEL_${e}`,score:r[t]}));o.push(i)}return Array.isArray(e)?o:o[0]}},zA={panoptic:`post_process_panoptic_segmentation`,instance:`post_process_instance_segmentation`,semantic:`post_process_semantic_segmentation`},BA=class extends bA{async _call(e,{threshold:t=.5,mask_threshold:n=.5,overlap_mask_area_threshold:r=.8,label_ids_to_fuse:i=null,target_sizes:a=null,subtask:o=null}={}){if(Array.isArray(e)&&e.length!==1)throw Error(`Image segmentation pipeline currently only supports a batch size of 1.`);let s=await _A(e),c=s.map(e=>[e.height,e.width]),l=await this.processor(s),{inputNames:u,outputNames:d}=this.model.sessions.model;if(!u.includes(`pixel_values`)){if(u.length!==1)throw Error(`Expected a single input name, but got ${u.length} inputs: ${u}.`);let e=u[0];if(e in l)throw Error(`Input name ${e} already exists in the inputs.`);l[e]=l.pixel_values}let f=await this.model(l),p=null;if(o!==null)p=zA[o];else if(this.processor.image_processor){for(let[e,t]of Object.entries(zA))if(t in this.processor.image_processor){p=this.processor.image_processor[t].bind(this.processor.image_processor),o=e;break}}let m=this.model.config.id2label,h=[];if(!o){let e=f[d[0]];for(let t=0;t<c.length;++t){let n=c[t],r=e[t];r.data.some(e=>e<-1e-5||e>1.00001)&&r.sigmoid_();let i=await Bf.fromTensor(r.mul_(255).to(`uint8`)).resize(n[1],n[0]);h.push({label:null,score:null,mask:i})}}else if(o===`panoptic`||o===`instance`){let e=p(f,t,n,r,i,a??c)[0],o=e.segmentation;for(let t of e.segments_info){let e=new Uint8ClampedArray(o.data.length);for(let n=0;n<o.data.length;++n)o.data[n]===t.id&&(e[n]=255);let n=new Bf(e,o.dims[1],o.dims[0],1);h.push({score:t.score,label:m[t.label_id],mask:n})}}else if(o===`semantic`){let{segmentation:e,labels:t}=p(f,a??c)[0];for(let n of t){let t=new Uint8ClampedArray(e.data.length);for(let r=0;r<e.data.length;++r)e.data[r]===n&&(t[r]=255);let r=new Bf(t,e.dims[1],e.dims[0],1);h.push({score:null,label:m[n],mask:r})}}else throw Error(`Subtask ${o} not supported.`);return h}},VA=Object.freeze({"text-classification":{pipeline:xA,model:Yk,default:{model:`Xenova/distilbert-base-uncased-finetuned-sst-2-english`},type:`text`},"token-classification":{pipeline:SA,model:Xk,default:{model:`Xenova/bert-base-multilingual-cased-ner-hrl`},type:`text`},"question-answering":{pipeline:TA,model:rA,default:{model:`Xenova/distilbert-base-cased-distilled-squad`},type:`text`},"fill-mask":{pipeline:EA,model:nA,default:{model:`onnx-community/ettin-encoder-32m-ONNX`,dtype:`fp32`},type:`text`},summarization:{pipeline:OA,model:Zk,default:{model:`Xenova/distilbart-cnn-6-6`},type:`text`},translation:{pipeline:kA,model:Zk,default:{model:`Xenova/t5-small`},type:`text`},"text2text-generation":{pipeline:DA,model:Zk,default:{model:`Xenova/flan-t5-small`},type:`text`},"text-generation":{pipeline:jA,model:tA,default:{model:`onnx-community/Qwen3-0.6B-ONNX`,dtype:`q4`},type:`text`},"zero-shot-classification":{pipeline:MA,model:Yk,default:{model:`Xenova/distilbert-base-uncased-mnli`},type:`text`},"audio-classification":{pipeline:NA,model:fA,default:{model:`Xenova/wav2vec2-base-superb-ks`},type:`audio`},"zero-shot-audio-classification":{pipeline:PA,model:Jk,default:{model:`Xenova/clap-htsat-unfused`},type:`multimodal`},"automatic-speech-recognition":{pipeline:FA,model:[Qk,dA],default:{model:`Xenova/whisper-tiny.en`},type:`multimodal`},"text-to-audio":{pipeline:IA,model:[eA,$k],default:{model:`onnx-community/Supertonic-TTS-ONNX`,dtype:`fp32`},type:`text`},"image-to-text":{pipeline:LA,model:iA,default:{model:`Xenova/vit-gpt2-image-captioning`},type:`multimodal`},"image-classification":{pipeline:RA,model:aA,default:{model:`Xenova/vit-base-patch16-224`},type:`multimodal`},"image-segmentation":{pipeline:BA,model:[oA,sA,cA],default:{model:`Xenova/detr-resnet-50-panoptic`},type:`multimodal`},"background-removal":{pipeline:class 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