diff --git "a/assets/worker-DJqCEpj4.js" "b/assets/worker-DJqCEpj4.js"
--- "a/assets/worker-DJqCEpj4.js"
+++ "b/assets/worker-DJqCEpj4.js"
@@ -2842,4 +2842,4 @@ ${w}${b}${k}
 ${_}${I}`+y.repeat(d)+`${_}`,w}function l(d,u,f,_){return`${u}${_}`+f.repeat(d)+`${u}`}function c(d,u,f,_,y,I){return d===0&&u===0?l(f,_,y,I):a(f,d,u,_,y,I)}class p extends s.Processor{static image_processor_class=n.AutoImageProcessor;static tokenizer_class=o.AutoTokenizer;static uses_processor_config=!0;fake_image_token="<fake_token_around_image>";image_token="<image>";global_img_token="<global-img>";async _call(u,f=null,_={}){_.return_row_col_info??=!0;let y;f&&(y=await this.image_processor(f,_)),Array.isArray(u)||(u=[u]);const I=y.rows??[new Array(u.length).fill(0)],w=y.cols??[new Array(u.length).fill(0)],v=this.config.image_seq_len,k=[],T=[];for(let P=0;P<u.length;++P){const x=u[P],S=I[P],O=w[P];k.push((0,i.count)(x,this.image_token));const F=S.map((B,Y)=>c(B,O[Y],v,this.fake_image_token,this.image_token,this.global_img_token)),H=x.split(this.image_token);if(H.length===0)throw new Error("The image token should be present in the text.");let W=H[0];for(let B=0;B<F.length;++B)W+=F[B]+H[B+1];T.push(W)}return{...this.tokenizer(T),...y}}}}),"./src/models/image_processors.js":((e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>s.BeitFeatureExtractor,BitImageProcessor:()=>n.BitImageProcessor,CLIPFeatureExtractor:()=>i.CLIPFeatureExtractor,CLIPImageProcessor:()=>i.CLIPImageProcessor,ChineseCLIPFeatureExtractor:()=>o.ChineseCLIPFeatureExtractor,ConvNextFeatureExtractor:()=>a.ConvNextFeatureExtractor,ConvNextImageProcessor:()=>a.ConvNextImageProcessor,DINOv3ViTImageProcessor:()=>p.DINOv3ViTImageProcessor,DPTFeatureExtractor:()=>u.DPTFeatureExtractor,DPTImageProcessor:()=>u.DPTImageProcessor,DeiTFeatureExtractor:()=>l.DeiTFeatureExtractor,DeiTImageProcessor:()=>l.DeiTImageProcessor,DetrFeatureExtractor:()=>c.DetrFeatureExtractor,DetrImageProcessor:()=>c.DetrImageProcessor,DonutFeatureExtractor:()=>d.DonutFeatureExtractor,DonutImageProcessor:()=>d.DonutImageProcessor,EfficientNetImageProcessor:()=>f.EfficientNetImageProcessor,GLPNFeatureExtractor:()=>_.GLPNFeatureExtractor,GroundingDinoImageProcessor:()=>y.GroundingDinoImageProcessor,Idefics3ImageProcessor:()=>I.Idefics3ImageProcessor,JinaCLIPImageProcessor:()=>v.JinaCLIPImageProcessor,LlavaOnevisionImageProcessor:()=>k.LlavaOnevisionImageProcessor,Mask2FormerImageProcessor:()=>T.Mask2FormerImageProcessor,MaskFormerFeatureExtractor:()=>b.MaskFormerFeatureExtractor,MaskFormerImageProcessor:()=>b.MaskFormerImageProcessor,MobileNetV1FeatureExtractor:()=>P.MobileNetV1FeatureExtractor,MobileNetV1ImageProcessor:()=>P.MobileNetV1ImageProcessor,MobileNetV2FeatureExtractor:()=>x.MobileNetV2FeatureExtractor,MobileNetV2ImageProcessor:()=>x.MobileNetV2ImageProcessor,MobileNetV3FeatureExtractor:()=>S.MobileNetV3FeatureExtractor,MobileNetV3ImageProcessor:()=>S.MobileNetV3ImageProcessor,MobileNetV4FeatureExtractor:()=>O.MobileNetV4FeatureExtractor,MobileNetV4ImageProcessor:()=>O.MobileNetV4ImageProcessor,MobileViTFeatureExtractor:()=>F.MobileViTFeatureExtractor,MobileViTImageProcessor:()=>F.MobileViTImageProcessor,NougatImageProcessor:()=>H.NougatImageProcessor,OwlViTFeatureExtractor:()=>B.OwlViTFeatureExtractor,OwlViTImageProcessor:()=>B.OwlViTImageProcessor,Owlv2ImageProcessor:()=>W.Owlv2ImageProcessor,Phi3VImageProcessor:()=>Y.Phi3VImageProcessor,PixtralImageProcessor:()=>X.PixtralImageProcessor,PvtImageProcessor:()=>J.PvtImageProcessor,Qwen2VLImageProcessor:()=>re.Qwen2VLImageProcessor,RTDetrImageProcessor:()=>ne.RTDetrImageProcessor,Sam2ImageProcessor:()=>pe.Sam2ImageProcessor,Sam3ImageProcessor:()=>oe.Sam3ImageProcessor,SamImageProcessor:()=>le.SamImageProcessor,SegformerFeatureExtractor:()=>K.SegformerFeatureExtractor,SegformerImageProcessor:()=>K.SegformerImageProcessor,SiglipImageProcessor:()=>j.SiglipImageProcessor,SmolVLMImageProcessor:()=>D.SmolVLMImageProcessor,Swin2SRImageProcessor:()=>te.Swin2SRImageProcessor,VLMImageProcessor:()=>w.VLMImageProcessor,ViTFeatureExtractor:()=>he.ViTFeatureExtractor,ViTImageProcessor:()=>he.ViTImageProcessor,VitMatteImageProcessor:()=>Ae.VitMatteImageProcessor,VitPoseImageProcessor:()=>ke.VitPoseImageProcessor,YolosFeatureExtractor:()=>Ve.YolosFeatureExtractor,YolosImageProcessor:()=>Ve.YolosImageProcessor});var s=t("./src/models/beit/image_processing_beit.js"),n=t("./src/models/bit/image_processing_bit.js"),o=t("./src/models/chinese_clip/image_processing_chinese_clip.js"),i=t("./src/models/clip/image_processing_clip.js"),a=t("./src/models/convnext/image_processing_convnext.js"),l=t("./src/models/deit/image_processing_deit.js"),c=t("./src/models/detr/image_processing_detr.js"),p=t("./src/models/dinov3_vit/image_processing_dinov3_vit.js"),d=t("./src/models/donut/image_processing_donut.js"),u=t("./src/models/dpt/image_processing_dpt.js"),f=t("./src/models/efficientnet/image_processing_efficientnet.js"),_=t("./src/models/glpn/image_processing_glpn.js"),y=t("./src/models/grounding_dino/image_processing_grounding_dino.js"),I=t("./src/models/idefics3/image_processing_idefics3.js"),w=t("./src/models/janus/image_processing_janus.js"),v=t("./src/models/jina_clip/image_processing_jina_clip.js"),k=t("./src/models/llava_onevision/image_processing_llava_onevision.js"),T=t("./src/models/mask2former/image_processing_mask2former.js"),b=t("./src/models/maskformer/image_processing_maskformer.js"),P=t("./src/models/mobilenet_v1/image_processing_mobilenet_v1.js"),x=t("./src/models/mobilenet_v2/image_processing_mobilenet_v2.js"),S=t("./src/models/mobilenet_v3/image_processing_mobilenet_v3.js"),O=t("./src/models/mobilenet_v4/image_processing_mobilenet_v4.js"),F=t("./src/models/mobilevit/image_processing_mobilevit.js"),H=t("./src/models/nougat/image_processing_nougat.js"),W=t("./src/models/owlv2/image_processing_owlv2.js"),B=t("./src/models/owlvit/image_processing_owlvit.js"),Y=t("./src/models/phi3_v/image_processing_phi3_v.js"),X=t("./src/models/pixtral/image_processing_pixtral.js"),J=t("./src/models/pvt/image_processing_pvt.js"),re=t("./src/models/qwen2_vl/image_processing_qwen2_vl.js"),ne=t("./src/models/rt_detr/image_processing_rt_detr.js"),le=t("./src/models/sam/image_processing_sam.js"),pe=t("./src/models/sam2/image_processing_sam2.js"),oe=t("./src/models/sam3/image_processing_sam3.js"),K=t("./src/models/segformer/image_processing_segformer.js"),j=t("./src/models/siglip/image_processing_siglip.js"),D=t("./src/models/smolvlm/image_processing_smolvlm.js"),te=t("./src/models/swin2sr/image_processing_swin2sr.js"),he=t("./src/models/vit/image_processing_vit.js"),Ae=t("./src/models/vitmatte/image_processing_vitmatte.js"),ke=t("./src/models/vitpose/image_processing_vitpose.js"),Ve=t("./src/models/yolos/image_processing_yolos.js")}),"./src/models/janus/image_processing_janus.js":((e,r,t)=>{t.r(r),t.d(r,{VLMImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{constructor(i){super({do_pad:!0,pad_size:{width:i.image_size,height:i.image_size},...i}),this.constant_values=this.config.background_color.map(a=>a*this.rescale_factor)}pad_image(i,a,l,c){return super.pad_image(i,a,l,{constant_values:this.constant_values,center:!0,...c})}}}),"./src/models/janus/processing_janus.js":((e,r,t)=>{t.r(r),t.d(r,{VLChatProcessor:()=>c});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js"),i=t("./src/utils/core.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/image.js");class c extends s.Processor{static image_processor_class=n.AutoImageProcessor;static tokenizer_class=o.AutoTokenizer;static uses_processor_config=!0;constructor(d,u,f){super(d,u,f),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(d,{images:u=null,chat_template:f="default"}={}){u?Array.isArray(u)||(u=[u]):u=await Promise.all(d.filter(F=>F.images).flatMap(F=>F.images).map(F=>l.RawImage.read(F)));const _=this.tokenizer,y=_.apply_chat_template(d,{tokenize:!1,add_generation_prompt:!0,chat_template:f}),I=F=>_.encode(F,{add_special_tokens:!1}),w=y.split(this.image_tag),v=w.length-1;if(u.length!==v)throw new Error(`Number of images provided (${u.length}) does not match number of "${this.image_tag}" image tags (${v})`);const[k,T,b]=_.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let P=I(w[0]),x=new Array(P.length).fill(!1);for(let F=1;F<w.length;++F){const H=new Array(this.num_image_tokens).fill(k),W=I(w[F]);P=(0,i.mergeArrays)(P,[T],H,[b],W);const B=new Array(this.num_image_tokens).fill(!0);x=(0,i.mergeArrays)(x,[!1],B,[!1],new Array(W.length).fill(!1))}const S=[1,P.length],O={input_ids:new a.Tensor("int64",P,S),attention_mask:new a.Tensor("int64",new Array(P.length).fill(1),S),images_seq_mask:new a.Tensor("bool",x,S),images_emb_mask:new a.Tensor("bool",new Array(v*this.num_image_tokens).fill(!0),[1,v,this.num_image_tokens])};if(u&&u.length>0){const F=await this.image_processor(u);return F.pixel_values.unsqueeze_(0),{...O,...F}}return O}}}),"./src/models/jina_clip/image_processing_jina_clip.js":((e,r,t)=>{t.r(r),t.d(r,{JinaCLIPImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{constructor(i){const{resize_mode:a,fill_color:l,interpolation:c,size:p,...d}=i,u=a==="squash"?{width:p,height:p}:a==="shortest"?{shortest_edge:p}:{longest_edge:p},f=c==="bicubic"?3:2;super({...d,size:u,resample:f,do_center_crop:!0,crop_size:p,do_normalize:!0})}}}),"./src/models/jina_clip/processing_jina_clip.js":((e,r,t)=>{t.r(r),t.d(r,{JinaCLIPProcessor:()=>i});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");class i extends s.Processor{static tokenizer_class=o.AutoTokenizer;static image_processor_class=n.AutoImageProcessor;async _call(l=null,c=null,p={}){if(!l&&!c)throw new Error("Either text or images must be provided");const d=l?this.tokenizer(l,p):{},u=c?await this.image_processor(c,p):{};return{...d,...u}}}}),"./src/models/llava/processing_llava.js":((e,r,t)=>{t.r(r),t.d(r,{LlavaProcessor:()=>i});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");class i extends s.Processor{static tokenizer_class=o.AutoTokenizer;static image_processor_class=n.AutoImageProcessor;static uses_processor_config=!0;async _call(l,c=null,p={}){const d=await this.image_processor(l,p);if(c){const[f,_]=d.pixel_values.dims.slice(-2),{image_token:y,patch_size:I,num_additional_image_tokens:w}=this.config,v=Math.floor(f/I)*Math.floor(_/I)+w;c=structuredClone(c),Array.isArray(c)||(c=[c]);for(let k=0;k<c.length;++k)c[k]=c[k].replace(y,y.repeat(v))}const u=c?this.tokenizer(c,p):{};return{...d,...u}}}}),"./src/models/llava_onevision/image_processing_llava_onevision.js":((e,r,t)=>{t.r(r),t.d(r,{LlavaOnevisionImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}}),"./src/models/mask2former/image_processing_mask2former.js":((e,r,t)=>{t.r(r),t.d(r,{Mask2FormerImageProcessor:()=>n});var s=t("./src/models/maskformer/image_processing_maskformer.js");class n extends s.MaskFormerImageProcessor{}}),"./src/models/maskformer/image_processing_maskformer.js":((e,r,t)=>{t.r(r),t.d(r,{MaskFormerFeatureExtractor:()=>o,MaskFormerImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{post_process_panoptic_segmentation(...a){return(0,s.post_process_panoptic_segmentation)(...a)}post_process_instance_segmentation(...a){return(0,s.post_process_instance_segmentation)(...a)}}class o extends n{}}),"./src/models/mgp_str/processing_mgp_str.js":((e,r,t)=>{t.r(r),t.d(r,{MgpstrProcessor:()=>l});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js"),i=t("./src/utils/maths.js");const a={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class l extends s.Processor{static tokenizer_class=o.AutoTokenizer;static image_processor_class=n.AutoImageProcessor;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(p,d){if(!a.hasOwnProperty(d))throw new Error(`Format ${d} is not supported.`);const[u,f]=a[d],_=this[u].bind(this),[y,I]=p.dims,w=[],v=[],k=p.tolist();for(let b=0;b<y;++b){const P=k[b],x=[],S=[];for(let F=1;F<I;++F){const[H,W]=(0,i.max)((0,i.softmax)(P[F]));if(S.push(H),W==f)break;x.push(W)}const O=S.length>0?S.reduce((F,H)=>F*H,1):0;v.push(x),w.push(O)}return[_(v),w]}char_decode(p){return this.char_tokenizer.batch_decode(p).map(d=>d.replaceAll(" ",""))}bpe_decode(p){return this.bpe_tokenizer.batch_decode(p)}wp_decode(p){return this.wp_tokenizer.batch_decode(p).map(d=>d.replaceAll(" ",""))}batch_decode([p,d,u]){const[f,_]=this._decode_helper(p,"char"),[y,I]=this._decode_helper(d,"bpe"),[w,v]=this._decode_helper(u,"wp"),k=[],T=[];for(let b=0;b<f.length;++b){const[P,x]=(0,i.max)([_[b],I[b],v[b]]);k.push([f[b],y[b],w[b]][x]),T.push(P)}return{generated_text:k,scores:T,char_preds:f,bpe_preds:y,wp_preds:w}}static async from_pretrained(...p){const d=await super.from_pretrained(...p),u=await o.AutoTokenizer.from_pretrained("Xenova/gpt2"),f=await o.AutoTokenizer.from_pretrained("Xenova/bert-base-uncased");return d.components={image_processor:d.image_processor,char_tokenizer:d.tokenizer,bpe_tokenizer:u,wp_tokenizer:f},d}async _call(p,d=null){const u=await this.image_processor(p);return d&&(u.labels=this.tokenizer(d).input_ids),u}}}),"./src/models/mobilenet_v1/image_processing_mobilenet_v1.js":((e,r,t)=>{t.r(r),t.d(r,{MobileNetV1FeatureExtractor:()=>o,MobileNetV1ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}class o extends n{}}),"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":((e,r,t)=>{t.r(r),t.d(r,{MobileNetV2FeatureExtractor:()=>o,MobileNetV2ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}class o extends n{}}),"./src/models/mobilenet_v3/image_processing_mobilenet_v3.js":((e,r,t)=>{t.r(r),t.d(r,{MobileNetV3FeatureExtractor:()=>o,MobileNetV3ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}class o extends n{}}),"./src/models/mobilenet_v4/image_processing_mobilenet_v4.js":((e,r,t)=>{t.r(r),t.d(r,{MobileNetV4FeatureExtractor:()=>o,MobileNetV4ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}class o extends n{}}),"./src/models/mobilevit/image_processing_mobilevit.js":((e,r,t)=>{t.r(r),t.d(r,{MobileViTFeatureExtractor:()=>o,MobileViTImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}class o extends n{}}),"./src/models/moonshine/feature_extraction_moonshine.js":((e,r,t)=>{t.r(r),t.d(r,{MoonshineFeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js"),n=t("./src/utils/tensor.js");class o extends s.FeatureExtractor{async _call(a){(0,s.validate_audio_inputs)(a,"MoonshineFeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));const l=[1,a.length];return{input_values:new n.Tensor("float32",a,l)}}}}),"./src/models/moonshine/processing_moonshine.js":((e,r,t)=>{t.r(r),t.d(r,{MoonshineProcessor:()=>i});var s=t("./src/models/auto/feature_extraction_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/processing_utils.js");class i extends o.Processor{static tokenizer_class=n.AutoTokenizer;static feature_extractor_class=s.AutoFeatureExtractor;async _call(l){return await this.feature_extractor(l)}}}),"./src/models/nougat/image_processing_nougat.js":((e,r,t)=>{t.r(r),t.d(r,{NougatImageProcessor:()=>n});var s=t("./src/models/donut/image_processing_donut.js");class n extends s.DonutImageProcessor{}}),"./src/models/owlv2/image_processing_owlv2.js":((e,r,t)=>{t.r(r),t.d(r,{Owlv2ImageProcessor:()=>n});var s=t("./src/models/owlvit/image_processing_owlvit.js");class n extends s.OwlViTImageProcessor{}}),"./src/models/owlvit/image_processing_owlvit.js":((e,r,t)=>{t.r(r),t.d(r,{OwlViTFeatureExtractor:()=>o,OwlViTImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{post_process_object_detection(...a){return(0,s.post_process_object_detection)(...a)}}class o extends n{}}),"./src/models/owlvit/processing_owlvit.js":((e,r,t)=>{t.r(r),t.d(r,{OwlViTProcessor:()=>i});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");class i extends s.Processor{static tokenizer_class=o.AutoTokenizer;static image_processor_class=n.AutoImageProcessor}}),"./src/models/paligemma/processing_paligemma.js":((e,r,t)=>{t.r(r),t.d(r,{PaliGemmaProcessor:()=>l});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");const i="<image>";function a(c,p,d,u,f){return`${u.repeat(d*f)}${p}${c}
 `}class l extends s.Processor{static tokenizer_class=o.AutoTokenizer;static image_processor_class=n.AutoImageProcessor;static uses_processor_config=!1;async _call(p,d=null,u={}){d||(console.warn("You are using PaliGemma without a text prefix. It will perform as a picture-captioning model."),d=""),Array.isArray(p)||(p=[p]),Array.isArray(d)||(d=[d]);const f=this.tokenizer.bos_token,_=this.image_processor.config.image_seq_length;let y;d.some(v=>v.includes(i))?y=d.map(v=>{const k=v.replaceAll(i,i.repeat(_)),T=k.lastIndexOf(i),b=T===-1?0:T+i.length;return k.slice(0,b)+f+k.slice(b)+`
 `}):(console.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."),y=d.map(v=>a(v,f,_,i,p.length)));const I=this.tokenizer(y,u);return{...await this.image_processor(p,u),...I}}}}),"./src/models/parakeet/feature_extraction_parakeet.js":((e,r,t)=>{t.r(r),t.d(r,{ParakeetFeatureExtractor:()=>a});var s=t("./src/base/feature_extraction_utils.js"),n=t("./src/utils/tensor.js"),o=t("./src/utils/audio.js");const i=1e-5;class a extends s.FeatureExtractor{constructor(c){super(c),this.config.mel_filters??=(0,o.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,this.config.sampling_rate/2,this.config.sampling_rate,"slaney","slaney");const p=(0,o.window_function)(this.config.win_length,"hann",{periodic:!1});this.window=new Float64Array(this.config.n_fft);const d=Math.floor((this.config.n_fft-this.config.win_length)/2);this.window.set(p,d)}async _extract_fbank_features(c){const p=this.config.preemphasis;c=new Float64Array(c);for(let u=c.length-1;u>=1;--u)c[u]-=p*c[u-1];return await(0,o.spectrogram)(c,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(c){(0,s.validate_audio_inputs)(c,"ParakeetFeatureExtractor");const p=await this._extract_fbank_features(c),d=Math.floor((c.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),u=p.data;u.fill(0,d*p.dims[1]);const[f,_]=p.dims,y=new Float64Array(_),I=new Float64Array(_);for(let k=0;k<d;++k){const T=k*_;for(let b=0;b<_;++b){const P=u[T+b];y[b]+=P,I[b]+=P*P}}const w=d>1?d-1:1;for(let k=0;k<_;++k){const T=y[k]/d,b=(I[k]-d*T*T)/w,x=1/(Math.sqrt(b)+i);for(let S=0;S<d;++S){const O=S*_+k;u[O]=(u[O]-T)*x}}const v=new BigInt64Array(f);return v.fill(1n,0,d),{input_features:p.unsqueeze_(0),attention_mask:new 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_call(u,{num_crops:f=null}={}){if(this._num_crops=f??=this.config.num_crops,f<4||c(f)%1!==0)throw new Error("num_crops must be a square number >= 4");Array.isArray(u)||(u=[u]);const _=u.length,y=await Promise.all(u.map(x=>this.preprocess(x))),I=y.map(x=>x.original_size),w=y.map(x=>x.reshaped_input_size),v=[];for(const{pixel_values:x}of y){x.unsqueeze_(0);const[S,O]=x.dims.slice(-2),F=await(0,n.interpolate_4d)(x,{size:[o,o],mode:"bicubic"});if(f>0){const H=[],W=c(f),B=l(O/W),Y=l(S/W);for(let J=0;J<W;++J)for(let re=0;re<W;++re){let ne,le,pe,oe;J===W-1?(le=S-Y,oe=S):(le=J*Y,oe=(J+1)*Y),re===W-1?(ne=O-B,pe=O):(ne=re*B,pe=(re+1)*B);const K=[le,ne],j=[oe,pe],D=await(0,n.slice)(x,K,j,i);H.push(D)}const X=await(0,n.interpolate_4d)((0,n.cat)(H,0),{size:[o,o],mode:"bicubic"});v.push((0,n.cat)([F,X],0))}else v.push(F)}const k=(0,n.stack)(v,0),T=w.map(x=>x.map(S=>o*a(S/o))),b=new 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uses_processor_config=!0;async _call(l,c=null,p={}){const d=await this.image_processor(l,p);if(c){const[f,_]=d.pixel_values.dims.slice(-2),{image_token:y,image_break_token:I,image_end_token:w,patch_size:v,spatial_merge_size:k}=this.config,T=v*k,b=Math.floor(f/T),P=Math.floor(_/T);c=structuredClone(c),Array.isArray(c)||(c=[c]);for(let x=0;x<c.length;++x){const S=y.repeat(P),O=S+I,F=S+w,H=O.repeat(b-1)+F;c[x]=c[x].replace(y,H)}}const 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s=t("./src/models/florence2/processing_florence2.js"),n=t("./src/models/gemma3n/processing_gemma3n.js"),o=t("./src/models/grounding_dino/processing_grounding_dino.js"),i=t("./src/models/idefics3/processing_idefics3.js"),a=t("./src/models/janus/processing_janus.js"),l=t("./src/models/jina_clip/processing_jina_clip.js"),c=t("./src/models/llava/processing_llava.js"),p=t("./src/models/mgp_str/processing_mgp_str.js"),d=t("./src/models/moonshine/processing_moonshine.js"),u=t("./src/models/owlvit/processing_owlvit.js"),f=t("./src/models/paligemma/processing_paligemma.js"),_=t("./src/models/phi3_v/processing_phi3_v.js"),y=t("./src/models/pixtral/processing_pixtral.js"),I=t("./src/models/pyannote/processing_pyannote.js"),w=t("./src/models/qwen2_vl/processing_qwen2_vl.js"),v=t("./src/models/sam/processing_sam.js"),k=t("./src/models/sam2/processing_sam2.js"),T=t("./src/models/smolvlm/processing_smolvlm.js"),b=t("./src/models/speecht5/processing_speecht5.js"),P=t("./src/models/ultravox/processing_ultravox.js"),x=t("./src/models/voxtral/processing_voxtral.js"),S=t("./src/models/wav2vec2/processing_wav2vec2.js"),O=t("./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js"),F=t("./src/models/whisper/processing_whisper.js")}),"./src/models/pvt/image_processing_pvt.js":((e,r,t)=>{t.r(r),t.d(r,{PvtImageProcessor:()=>n});var 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I=(0,o.softmax)(u[y]),[w,v]=(0,o.max)(I),[k,T]=[y,y+1];v!==_?(_=v,f.push({id:v,start:k,end:T,score:w})):(f.at(-1).end=T,f.at(-1).score+=w)}d.push(f.map(({id:y,start:I,end:w,score:v})=>({id:y,start:I*p,end:w*p,confidence:v/(w-I)})))}return d}}}),"./src/models/pyannote/processing_pyannote.js":((e,r,t)=>{t.r(r),t.d(r,{PyAnnoteProcessor:()=>o});var s=t("./src/base/processing_utils.js"),n=t("./src/models/pyannote/feature_extraction_pyannote.js");class o extends s.Processor{static feature_extractor_class=n.PyAnnoteFeatureExtractor;async _call(a){return await this.feature_extractor(a)}post_process_speaker_diarization(...a){return this.feature_extractor.post_process_speaker_diarization(...a)}get sampling_rate(){return this.feature_extractor.config.sampling_rate}}}),"./src/models/qwen2_vl/image_processing_qwen2_vl.js":((e,r,t)=>{t.r(r),t.d(r,{Qwen2VLImageProcessor:()=>o});var s=t("./src/base/image_processors_utils.js"),n=t("./src/utils/tensor.js");class o extends s.ImageProcessor{async 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this.image_processor(c),u=d.image_grid_thw),u){let _=this.image_processor.config.merge_size**2,y=0;const I=u.tolist();l=l.map(w=>{for(;w.includes("<|image_pad|>");){const v=Number(I[y++].reduce((k,T)=>k*T,1n));w=w.replace("<|image_pad|>","<|placeholder|>".repeat(Math.floor(v/_)))}return w.replaceAll("<|placeholder|>","<|image_pad|>")})}return{...this.tokenizer(l),...d}}}}),"./src/models/rt_detr/image_processing_rt_detr.js":((e,r,t)=>{t.r(r),t.d(r,{RTDetrImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{post_process_object_detection(...i){return(0,s.post_process_object_detection)(...i)}}}),"./src/models/sam/image_processing_sam.js":((e,r,t)=>{t.r(r),t.d(r,{SamImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js"),n=t("./src/utils/core.js"),o=t("./src/utils/tensor.js");class i extends s.ImageProcessor{reshape_input_points(l,c,p,d=!1){l=structuredClone(l);let u=(0,n.calculateDimensions)(l);if(u.length===3)d||(u=[1,...u]),l=[l];else if(u.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 f=0;f<l.length;++f){const[_,y]=c[f],[I,w]=p[f],v=[w/y,I/_];for(let k=0;k<l[f].length;++k)for(let T=0;T<l[f][k].length;++T)for(let b=0;b<l[f][k][T].length;++b)l[f][k][T][b]*=v[b%2]}return new o.Tensor("float32",Float32Array.from(l.flat(1/0)),u)}add_input_labels(l,c){let p=(0,n.calculateDimensions)(l);if(p.length===2)p=[1,...p],l=[l];else if(p.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(p.some((d,u)=>d!==c.dims[u]))throw Error(`The first ${p.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new o.Tensor("int64",l.flat(1/0).map(BigInt),p)}async _call(l,{input_points:c=null,input_labels:p=null,input_boxes:d=null}={}){const u=await super._call(l);if(c&&(u.input_points=this.reshape_input_points(c,u.original_sizes,u.reshaped_input_sizes)),p){if(!u.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");u.input_labels=this.add_input_labels(p,u.input_points)}return d&&(u.input_boxes=this.reshape_input_points(d,u.original_sizes,u.reshaped_input_sizes,!0)),u}async post_process_masks(l,c,p,{mask_threshold:d=0,binarize:u=!0,pad_size:f=null}={}){const _=[];f=f??this.pad_size??this.size;const y=[f.height,f.width];for(let I=0;I<c.length;++I){const w=c[I],v=p[I];let k=await(0,o.interpolate_4d)(l[I],{mode:"bilinear",size:y});if(k=k.slice(null,null,[0,v[0]],[0,v[1]]),k=await(0,o.interpolate_4d)(k,{mode:"bilinear",size:w}),u){const T=k.data,b=new Uint8Array(T.length);for(let P=0;P<T.length;++P)T[P]>d&&(b[P]=1);k=new o.Tensor("bool",b,k.dims)}_.push(k)}return _}generate_crop_boxes(l,c,{crop_n_layers:p=0,overlap_ratio:d=512/1500,points_per_crop:u=32,crop_n_points_downscale_factor:f=1}={}){}}}),"./src/models/sam/processing_sam.js":((e,r,t)=>{t.r(r),t.d(r,{SamProcessor:()=>o});var s=t("./src/base/processing_utils.js"),n=t("./src/models/auto/image_processing_auto.js");class o extends s.Processor{static image_processor_class=n.AutoImageProcessor;async _call(...a){return await this.image_processor(...a)}post_process_masks(...a){return this.image_processor.post_process_masks(...a)}reshape_input_points(...a){return this.image_processor.reshape_input_points(...a)}}}),"./src/models/sam2/image_processing_sam2.js":((e,r,t)=>{t.r(r),t.d(r,{Sam2ImageProcessor:()=>s.SamImageProcessor});var s=t("./src/models/sam/image_processing_sam.js")}),"./src/models/sam2/processing_sam2.js":((e,r,t)=>{t.r(r),t.d(r,{Sam2Processor:()=>n,Sam2VideoProcessor:()=>o});var s=t("./src/models/sam/processing_sam.js");class n extends s.SamProcessor{}class o extends n{}}),"./src/models/sam3/image_processing_sam3.js":((e,r,t)=>{t.r(r),t.d(r,{Sam3ImageProcessor:()=>s.Sam2ImageProcessor});var s=t("./src/models/sam2/image_processing_sam2.js")}),"./src/models/seamless_m4t/feature_extraction_seamless_m4t.js":((e,r,t)=>{t.r(r),t.d(r,{SeamlessM4TFeatureExtractor:()=>i});var s=t("./src/base/feature_extraction_utils.js"),n=t("./src/utils/tensor.js"),o=t("./src/utils/audio.js");class i extends s.FeatureExtractor{constructor(l){super(l);const c=this.config.sampling_rate,p=(0,o.mel_filter_bank)(257,this.config.num_mel_bins,20,Math.floor(c/2),c,null,"kaldi",!0);this.mel_filters=p,this.window=(0,o.window_function)(400,"povey",{periodic:!1})}async _extract_fbank_features(l,c){return l=l.map(p=>p*32768),(0,o.spectrogram)(l,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:c,transpose:!0})}async _call(l,{padding:c=!0,pad_to_multiple_of:p=2,do_normalize_per_mel_bins:d=!0,return_attention_mask:u=!0}={}){(0,s.validate_audio_inputs)(l,"SeamlessM4TFeatureExtractor");let f=await this._extract_fbank_features(l,this.config.max_length);if(d){const[b,P]=f.dims,x=f.data;for(let S=0;S<P;++S){let O=0;for(let B=0;B<b;++B)O+=x[B*P+S];const F=O/b;let H=0;for(let B=0;B<b;++B)H+=(x[B*P+S]-F)**2;H/=b-1;const W=Math.sqrt(H+1e-7);for(let B=0;B<b;++B){const Y=B*P+S;x[Y]=(x[Y]-F)/W}}}let _;if(c){const[b,P]=f.dims,x=f.data,S=b%p;if(S>0){const O=new Float32Array(P*(b+S));O.set(x),O.fill(this.config.padding_value,x.length);const F=b+S;f=new n.Tensor(f.type,O,[F,P]),u&&(_=new n.Tensor("int64",new BigInt64Array(F),[1,F]),_.data.fill(1n,0,b))}}const[y,I]=f.dims,w=this.config.stride;if(y%w!==0)throw new Error(`The number of frames (${y}) must be a multiple of the stride (${w}).`);const k=f.view(1,Math.floor(y/w),I*w),T={input_features:k};if(u){const b=k.dims[1],P=new BigInt64Array(b);if(_){const x=_.data;for(let S=1,O=0;S<y;S+=w,++O)P[O]=x[S]}else P.fill(1n);T.attention_mask=new n.Tensor("int64",P,[1,b])}return T}}}),"./src/models/segformer/image_processing_segformer.js":((e,r,t)=>{t.r(r),t.d(r,{SegformerFeatureExtractor:()=>o,SegformerImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{post_process_semantic_segmentation(...a){return(0,s.post_process_semantic_segmentation)(...a)}}class o extends n{}}),"./src/models/siglip/image_processing_siglip.js":((e,r,t)=>{t.r(r),t.d(r,{SiglipImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}}),"./src/models/smolvlm/image_processing_smolvlm.js":((e,r,t)=>{t.r(r),t.d(r,{SmolVLMImageProcessor:()=>s.Idefics3ImageProcessor});var s=t("./src/models/idefics3/image_processing_idefics3.js")}),"./src/models/smolvlm/processing_smolvlm.js":((e,r,t)=>{t.r(r),t.d(r,{SmolVLMProcessor:()=>s.Idefics3Processor});var 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s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{pad_image(i,a,l,c={}){const[p,d,u]=a;return super.pad_image(i,a,{width:d+(l-d%l)%l,height:p+(l-p%l)%l},{mode:"symmetric",center:!1,constant_values:-1,...c})}}}),"./src/models/ultravox/processing_ultravox.js":((e,r,t)=>{t.r(r),t.d(r,{UltravoxProcessor:()=>i});var s=t("./src/models/auto/feature_extraction_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/processing_utils.js");class i extends o.Processor{static tokenizer_class=n.AutoTokenizer;static feature_extractor_class=s.AutoFeatureExtractor;static uses_processor_config=!0;async _call(l,c=null,p={}){if(Array.isArray(l))throw new Error("Batched inputs are not supported yet.");let d={};if(c){const f=c.length,{input_features:_}=await this.feature_extractor(c,{...p,max_length:f}),y=Math.round(f/this.config.encoder_ds_factor+1e-4),I=1+Math.ceil(y/this.config.stack_factor);d.audio_token_len=[I],d.audio_values=_;const w=this.config.audio_placeholder;if(!l.includes(w))throw new Error(`The input text does not contain the image token ${w}.`);l=l.replaceAll(w,w.repeat(I))}return{...this.tokenizer(l,{add_special_tokens:!1,...p}),...d}}}}),"./src/models/vit/image_processing_vit.js":((e,r,t)=>{t.r(r),t.d(r,{ViTFeatureExtractor:()=>o,ViTImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{}class o extends n{}}),"./src/models/vitmatte/image_processing_vitmatte.js":((e,r,t)=>{t.r(r),t.d(r,{VitMatteImageProcessor:()=>o});var s=t("./src/base/image_processors_utils.js"),n=t("./src/utils/tensor.js");class o extends s.ImageProcessor{async _call(a,l){Array.isArray(a)||(a=[a]),Array.isArray(l)||(l=[l]);const c=await Promise.all(a.map(u=>this.preprocess(u))),p=await Promise.all(l.map(u=>this.preprocess(u,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:(0,n.stack)(c.map((u,f)=>(0,n.cat)([u.pixel_values,p[f].pixel_values],0)),0),original_sizes:c.map(u=>u.original_size),reshaped_input_sizes:c.map(u=>u.reshaped_input_size)}}}}),"./src/models/vitpose/image_processing_vitpose.js":((e,r,t)=>{t.r(r),t.d(r,{VitPoseImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{post_process_pose_estimation(i,a,{threshold:l=null}={}){const c=i.tolist(),[p,d,u,f]=i.dims,_=[];for(let y=0;y<p;++y){const I=c[y],w=a[y],v=[];for(let k=0;k<w.length;++k){const T=w[k],b=[],P=[],x=[],S=T.at(-2)/f,O=T.at(-1)/u;for(let F=0;F<I.length;++F){let[H,W]=[0,0],B=0,Y=-1/0;const X=I[F];for(let re=0;re<X.length;++re){const ne=X[re];for(let le=0;le<ne.length;++le){const pe=ne[le];B+=pe,Y=Math.max(Y,pe),H+=(le+.5)*pe,W+=re*pe}}if(l!=null&&Y<l)continue;const J=[S*H/B,O*W/B];b.push(J),x.push(F),P.push(Y)}v.push({bbox:T,scores:P,labels:x,keypoints:b})}_.push(v)}return _}}}),"./src/models/voxtral/processing_voxtral.js":((e,r,t)=>{t.r(r),t.d(r,{VoxtralProcessor:()=>d});var s=t("./src/models/auto/feature_extraction_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/processing_utils.js"),i=t("./src/utils/tensor.js");const a="[AUDIO]",l="[BEGIN_AUDIO]",c=375;function p(u,f){const _=[];for(let y=0;y<u.length;y+=f)_.push(u.subarray(y,Math.min(y+f,u.length)));return _}class d extends o.Processor{static tokenizer_class=n.AutoTokenizer;static feature_extractor_class=s.AutoFeatureExtractor;static uses_processor_config=!1;async _call(f,_=null,y={}){if(Array.isArray(f))throw new Error("Batched inputs are not supported yet.");const I={};if(_){if(!f.includes(a))throw new Error(`The input text does not contain the audio token ${a}.`);Array.isArray(_)||(_=[_]);const v=f.split(a),k=v.length-1;if(k!==_.length)throw new Error(`The number of audio inputs (${_.length}) does not match the number of audio tokens in the text (${k}).`);const T=this.feature_extractor.config.n_samples,b=_.map(F=>p(F,T)),P=b.map(F=>F.length),x=b.flat(),S=(await Promise.all(x.map(F=>this.feature_extractor(F,y)))).map(F=>F.input_features);I.audio_values=S.length>1?(0,i.cat)(S,0):S[0];let O=v[0];for(let F=0;F<P.length;++F){O+=l;for(let H=0;H<P[F];++H)O+=a.repeat(c);O+=v[F+1]}f=O}return{...this.tokenizer(f,{add_special_tokens:!1,...y}),...I}}}}),"./src/models/wav2vec2/feature_extraction_wav2vec2.js":((e,r,t)=>{t.r(r),t.d(r,{Wav2Vec2FeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js"),n=t("./src/utils/tensor.js");class o extends s.FeatureExtractor{_zero_mean_unit_var_norm(a){const c=a.reduce((d,u)=>d+u,0)/a.length,p=a.reduce((d,u)=>d+(u-c)**2,0)/a.length;return a.map(d=>(d-c)/Math.sqrt(p+1e-7))}async _call(a){(0,s.validate_audio_inputs)(a,"Wav2Vec2FeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));let l=a;this.config.do_normalize&&(l=this._zero_mean_unit_var_norm(l));const c=[1,l.length];return{input_values:new n.Tensor("float32",l,c),attention_mask:new n.Tensor("int64",new BigInt64Array(l.length).fill(1n),c)}}}}),"./src/models/wav2vec2/processing_wav2vec2.js":((e,r,t)=>{t.r(r),t.d(r,{Wav2Vec2Processor:()=>i});var s=t("./src/tokenizers.js"),n=t("./src/models/auto/feature_extraction_auto.js"),o=t("./src/base/processing_utils.js");class i extends o.Processor{static tokenizer_class=s.AutoTokenizer;static feature_extractor_class=n.AutoFeatureExtractor;async _call(l){return await this.feature_extractor(l)}}}),"./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js":((e,r,t)=>{t.r(r),t.d(r,{Wav2Vec2ProcessorWithLM:()=>i});var s=t("./src/tokenizers.js"),n=t("./src/models/auto/feature_extraction_auto.js"),o=t("./src/base/processing_utils.js");class i extends o.Processor{static tokenizer_class=s.AutoTokenizer;static feature_extractor_class=n.AutoFeatureExtractor;async _call(l){return await this.feature_extractor(l)}}}),"./src/models/wespeaker/feature_extraction_wespeaker.js":((e,r,t)=>{t.r(r),t.d(r,{WeSpeakerFeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var n=t("./src/utils/audio.js");class o extends s.FeatureExtractor{constructor(a){super(a);const l=this.config.sampling_rate,c=(0,n.mel_filter_bank)(257,this.config.num_mel_bins,20,Math.floor(l/2),l,null,"kaldi",!0);this.mel_filters=c,this.window=(0,n.window_function)(400,"hamming",{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(a){return a=a.map(l=>l*32768),(0,n.spectrogram)(a,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(a){(0,s.validate_audio_inputs)(a,"WeSpeakerFeatureExtractor");const l=(await this._extract_fbank_features(a)).unsqueeze_(0);if(this.config.fbank_centering_span===null){const c=l.mean(1).data,p=l.data,[d,u,f]=l.dims;for(let _=0;_<d;++_){const y=_*u*f,I=_*f;for(let w=0;w<u;++w){const v=y+w*f;for(let k=0;k<f;++k)p[v+k]-=c[I+k]}}}return{input_features:l}}}}),"./src/models/whisper/common_whisper.js":((e,r,t)=>{t.r(r),t.d(r,{WHISPER_LANGUAGE_MAPPING:()=>n,WHISPER_TO_LANGUAGE_CODE_MAPPING:()=>o,whisper_language_to_code:()=>i});const s=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],n=new Map(s),o=new Map([...s.map(([a,l])=>[l,a]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function i(a){a=a.toLowerCase();let l=o.get(a);if(l===void 0){const c=a.match(/^<\|([a-z]{2})\|>$/);if(c&&(a=c[1]),n.has(a))l=a;else{const d=a.length===2?n.keys():n.values();throw new Error(`Language "${a}" is not supported. Must be one of: ${JSON.stringify(Array.from(d))}`)}}return l}}),"./src/models/whisper/feature_extraction_whisper.js":((e,r,t)=>{t.r(r),t.d(r,{WhisperFeatureExtractor:()=>i});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var n=t("./src/utils/audio.js"),o=t("./src/utils/maths.js");class i extends s.FeatureExtractor{constructor(l){super(l),this.config.mel_filters??=(0,n.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney"),this.window=(0,n.window_function)(this.config.n_fft,"hann")}async _extract_fbank_features(l){const c=await(0,n.spectrogram)(l,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:Math.min(Math.floor(l.length/this.config.hop_length),this.config.nb_max_frames)}),p=c.data,d=(0,o.max)(p)[0];for(let u=0;u<p.length;++u)p[u]=(Math.max(p[u],d-8)+4)/4;return c}async _call(l,{max_length:c=null}={}){(0,s.validate_audio_inputs)(l,"WhisperFeatureExtractor");let p;const d=c??this.config.n_samples;return l.length>d?(l.length>this.config.n_samples&&console.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`."),p=l.slice(0,d)):(p=new Float32Array(d),p.set(l)),{input_features:(await this._extract_fbank_features(p)).unsqueeze_(0)}}}}),"./src/models/whisper/generation_whisper.js":((e,r,t)=>{t.r(r),t.d(r,{WhisperGenerationConfig:()=>n});var s=t("./src/generation/configuration_utils.js");class n extends s.GenerationConfig{return_timestamps=null;return_token_timestamps=null;num_frames=null;alignment_heads=null;task=null;language=null;no_timestamps_token_id=null;prompt_ids=null;is_multilingual=null;lang_to_id=null;task_to_id=null;max_initial_timestamp_index=1}}),"./src/models/whisper/processing_whisper.js":((e,r,t)=>{t.r(r),t.d(r,{WhisperProcessor:()=>i});var s=t("./src/models/auto/feature_extraction_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/processing_utils.js");class i extends o.Processor{static tokenizer_class=n.AutoTokenizer;static feature_extractor_class=s.AutoFeatureExtractor;async _call(l){return await this.feature_extractor(l)}}}),"./src/models/yolos/image_processing_yolos.js":((e,r,t)=>{t.r(r),t.d(r,{YolosFeatureExtractor:()=>o,YolosImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js");class n extends s.ImageProcessor{post_process_object_detection(...a){return(0,s.post_process_object_detection)(...a)}}class o extends n{}}),"./src/ops/registry.js":((e,r,t)=>{t.r(r),t.d(r,{TensorOpRegistry:()=>i});var s=t("./src/backends/onnx.js"),n=t("./src/utils/tensor.js");const o=async(a,l,c)=>{const p=await(0,s.createInferenceSession)(new Uint8Array(a),l);return(async d=>{const u=(0,s.isONNXProxy)(),f=Object.fromEntries(Object.entries(d).map(([y,I])=>[y,(u?I.clone():I).ort_tensor])),_=await(0,s.runInferenceSession)(p,f);return Array.isArray(c)?c.map(y=>new n.Tensor(_[y])):new n.Tensor(_[c])})};class i{static session_options={};static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=o([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,"y")),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=o([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=o([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=o([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=o([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=o([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=o([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}static get slice(){return this._slice||(this._slice=o([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}}}),"./src/pipelines.js":((e,r,t)=>{t.r(r),t.d(r,{AudioClassificationPipeline:()=>W,AutomaticSpeechRecognitionPipeline:()=>Y,BackgroundRemovalPipeline:()=>ne,DepthEstimationPipeline:()=>te,DocumentQuestionAnsweringPipeline:()=>K,FeatureExtractionPipeline:()=>F,FillMaskPipeline:()=>k,ImageClassificationPipeline:()=>J,ImageFeatureExtractionPipeline:()=>H,ImageSegmentationPipeline:()=>re,ImageToImagePipeline:()=>D,ImageToTextPipeline:()=>X,ObjectDetectionPipeline:()=>pe,Pipeline:()=>y,QuestionAnsweringPipeline:()=>v,SummarizationPipeline:()=>b,Text2TextGenerationPipeline:()=>T,TextClassificationPipeline:()=>I,TextGenerationPipeline:()=>S,TextToAudioPipeline:()=>j,TokenClassificationPipeline:()=>w,TranslationPipeline:()=>P,ZeroShotAudioClassificationPipeline:()=>B,ZeroShotClassificationPipeline:()=>O,ZeroShotImageClassificationPipeline:()=>le,ZeroShotObjectDetectionPipeline:()=>oe,pipeline:()=>ke});var s=t("./src/tokenizers.js"),n=t("./src/models.js"),o=t("./src/models/auto/processing_auto.js");t("./src/base/processing_utils.js");var i=t("./src/utils/generic.js"),a=t("./src/utils/core.js"),l=t("./src/utils/maths.js"),c=t("./src/utils/audio.js"),p=t("./src/utils/tensor.js"),d=t("./src/utils/image.js");async function u(Te){return Array.isArray(Te)||(Te=[Te]),await Promise.all(Te.map(Q=>d.RawImage.read(Q)))}async function f(Te,Q){return Array.isArray(Te)||(Te=[Te]),await Promise.all(Te.map(z=>typeof z=="string"||z instanceof URL?(0,c.read_audio)(z,Q):z instanceof Float64Array?new Float32Array(z):z))}function _(Te,Q){Q&&(Te=Te.map(xe=>xe|0));const[z,de,be,ve]=Te;return{xmin:z,ymin:de,xmax:be,ymax:ve}}class y extends i.Callable{constructor({task:Q,model:z,tokenizer:de=null,processor:be=null}){super(),this.task=Q,this.model=z,this.tokenizer=de,this.processor=be}async dispose(){await this.model.dispose()}}class I extends y{constructor(Q){super(Q)}async _call(Q,{top_k:z=1}={}){const de=this.tokenizer(Q,{padding:!0,truncation:!0}),be=await this.model(de),ve=this.model.config.problem_type==="multi_label_classification"?ge=>ge.sigmoid():ge=>new p.Tensor("float32",(0,l.softmax)(ge.data),ge.dims),xe=this.model.config.id2label,Ce=[];for(const ge of be.logits){const De=ve(ge),fe=await(0,p.topk)(De,z),Pe=fe[0].tolist(),Fe=fe[1].tolist().map((tt,Re)=>({label:xe?xe[tt]:`LABEL_${tt}`,score:Pe[Re]}));z===1?Ce.push(...Fe):Ce.push(Fe)}return Array.isArray(Q)||z===1?Ce:Ce[0]}}class w extends y{constructor(Q){super(Q)}async _call(Q,{ignore_labels:z=["O"]}={}){const de=Array.isArray(Q),be=this.tokenizer(de?Q:[Q],{padding:!0,truncation:!0}),xe=(await this.model(be)).logits,Ce=this.model.config.id2label,ge=[];for(let De=0;De<xe.dims[0];++De){const fe=be.input_ids[De],Pe=xe[De],We=[];for(let Fe=0;Fe<Pe.dims[0];++Fe){const tt=Pe[Fe],Re=(0,l.max)(tt.data)[1],rt=Ce?Ce[Re]:`LABEL_${Re}`;if(z.includes(rt))continue;const Ze=this.tokenizer.decode([fe[Fe].item()],{skip_special_tokens:!0});if(Ze==="")continue;const je=(0,l.softmax)(tt.data);We.push({entity:rt,score:je[Re],index:Fe,word:Ze})}ge.push(We)}return de?ge:ge[0]}}class v extends y{constructor(Q){super(Q)}async _call(Q,z,{top_k:de=1}={}){const be=this.tokenizer(Q,{text_pair:z,padding:!0,truncation:!0}),{start_logits:ve,end_logits:xe}=await this.model(be),Ce=be.input_ids.tolist(),ge=be.attention_mask.tolist(),De=this.tokenizer.all_special_ids,fe=[];for(let Pe=0;Pe<ve.dims[0];++Pe){const We=Ce[Pe],Fe=We.findIndex(Oe=>Oe==this.tokenizer.sep_token_id);ge[Pe].map((Oe,at)=>Oe==1&&(at===0||at>Fe&&De.findIndex(ht=>ht==We[at])===-1));const tt=ve[Pe].tolist(),Re=xe[Pe].tolist();for(let Oe=1;Oe<tt.length;++Oe)(ge[Pe]==0||Oe<=Fe||De.findIndex(at=>at==We[Oe])!==-1)&&(tt[Oe]=-1/0,Re[Oe]=-1/0);const rt=(0,l.softmax)(tt).map((Oe,at)=>[Oe,at]),Ze=(0,l.softmax)(Re).map((Oe,at)=>[Oe,at]);rt[0][0]=0,Ze[0][0]=0;const je=(0,a.product)(rt,Ze).filter(Oe=>Oe[0][1]<=Oe[1][1]).map(Oe=>[Oe[0][1],Oe[1][1],Oe[0][0]*Oe[1][0]]).sort((Oe,at)=>at[2]-Oe[2]);for(let Oe=0;Oe<Math.min(je.length,de);++Oe){const[at,ht,Nt]=je[Oe],kt=We.slice(at,ht+1),gr=this.tokenizer.decode(kt,{skip_special_tokens:!0});fe.push({answer:gr,score:Nt})}}return de===1?fe[0]:fe}}class k extends y{constructor(Q){super(Q)}async _call(Q,{top_k:z=5}={}){const de=this.tokenizer(Q,{padding:!0,truncation:!0}),{logits:be}=await this.model(de),ve=[],xe=de.input_ids.tolist();for(let Ce=0;Ce<xe.length;++Ce){const ge=xe[Ce],De=ge.findIndex(tt=>tt==this.tokenizer.mask_token_id);if(De===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const fe=be[Ce][De],Pe=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(fe.data),fe.dims),z),We=Pe[0].tolist(),Fe=Pe[1].tolist();ve.push(Fe.map((tt,Re)=>{const rt=ge.slice();return rt[De]=tt,{score:We[Re],token:Number(tt),token_str:this.tokenizer.decode([tt]),sequence:this.tokenizer.decode(rt,{skip_special_tokens:!0})}}))}return Array.isArray(Q)?ve:ve[0]}}class T extends y{_key="generated_text";constructor(Q){super(Q)}async _call(Q,z={}){Array.isArray(Q)||(Q=[Q]),this.model.config.prefix&&(Q=Q.map(ge=>this.model.config.prefix+ge));const de=this.model.config.task_specific_params;de&&de[this.task]&&de[this.task].prefix&&(Q=Q.map(ge=>de[this.task].prefix+ge));const be=this.tokenizer,ve={padding:!0,truncation:!0};let xe;this instanceof P&&"_build_translation_inputs"in be?xe=be._build_translation_inputs(Q,ve,z):xe=be(Q,ve);const Ce=await this.model.generate({...xe,...z});return be.batch_decode(Ce,{skip_special_tokens:!0}).map(ge=>({[this._key]:ge}))}}class b extends T{_key="summary_text";constructor(Q){super(Q)}}class P extends T{_key="translation_text";constructor(Q){super(Q)}}function x(Te){return Array.isArray(Te)&&Te.every(Q=>"role"in Q&&"content"in Q)}class S extends y{constructor(Q){super(Q)}async _call(Q,z={}){let de=!1,be=!1,ve=z.add_special_tokens??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,xe;if(typeof Q=="string")xe=Q=[Q];else if(Array.isArray(Q)&&Q.every(Fe=>typeof Fe=="string"))de=!0,xe=Q;else{if(x(Q))Q=[Q];else if(Array.isArray(Q)&&Q.every(x))de=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");be=!0,xe=Q.map(Fe=>this.tokenizer.apply_chat_template(Fe,{tokenize:!1,add_generation_prompt:!0})),ve=!1}const Ce=be?!1:z.return_full_text??!0;this.tokenizer.padding_side="left";const ge=this.tokenizer(xe,{add_special_tokens:ve,padding:!0,truncation:!0}),De=await this.model.generate({...ge,...z}),fe=this.tokenizer.batch_decode(De,{skip_special_tokens:!0});let Pe;!Ce&&ge.input_ids.dims.at(-1)>0&&(Pe=this.tokenizer.batch_decode(ge.input_ids,{skip_special_tokens:!0}).map(Fe=>Fe.length));const We=Array.from({length:Q.length},Fe=>[]);for(let Fe=0;Fe<fe.length;++Fe){const tt=Math.floor(Fe/De.dims[0]*Q.length);Pe&&(fe[Fe]=fe[Fe].slice(Pe[tt])),We[tt].push({generated_text:be?[...Q[tt],{role:"assistant",content:fe[Fe]}]:fe[Fe]})}return!de&&We.length===1?We[0]:We}}class O extends y{constructor(Q){super(Q),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([z,de])=>[z.toLowerCase(),de])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0&&(console.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&&(console.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0)}async _call(Q,z,{hypothesis_template:de="This example is {}.",multi_label:be=!1}={}){const ve=Array.isArray(Q);ve||(Q=[Q]),Array.isArray(z)||(z=[z]);const xe=z.map(De=>de.replace("{}",De)),Ce=be||z.length===1,ge=[];for(const De of Q){const fe=[];for(const Fe of xe){const tt=this.tokenizer(De,{text_pair:Fe,padding:!0,truncation:!0}),Re=await this.model(tt);Ce?fe.push([Re.logits.data[this.contradiction_id],Re.logits.data[this.entailment_id]]):fe.push(Re.logits.data[this.entailment_id])}const We=(Ce?fe.map(Fe=>(0,l.softmax)(Fe)[1]):(0,l.softmax)(fe)).map((Fe,tt)=>[Fe,tt]).sort((Fe,tt)=>tt[0]-Fe[0]);ge.push({sequence:De,labels:We.map(Fe=>z[Fe[1]]),scores:We.map(Fe=>Fe[0])})}return ve?ge:ge[0]}}class F extends y{constructor(Q){super(Q)}async _call(Q,{pooling:z="none",normalize:de=!1,quantize:be=!1,precision:ve="binary"}={}){const xe=this.tokenizer(Q,{padding:!0,truncation:!0}),Ce=await this.model(xe);let ge=Ce.last_hidden_state??Ce.logits??Ce.token_embeddings;switch(z){case"none":break;case"mean":ge=(0,p.mean_pooling)(ge,xe.attention_mask);break;case"first_token":case"cls":ge=ge.slice(null,0);break;case"last_token":case"eos":ge=ge.slice(null,-1);break;default:throw Error(`Pooling method '${z}' not supported.`)}return de&&(ge=ge.normalize(2,-1)),be&&(ge=(0,p.quantize_embeddings)(ge,ve)),ge}}class H extends y{constructor(Q){super(Q)}async _call(Q,{pool:z=null}={}){const de=await u(Q),{pixel_values:be}=await this.processor(de),ve=await this.model({pixel_values:be});let xe;if(z){if(!("pooler_output"in ve))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");xe=ve.pooler_output}else xe=ve.last_hidden_state??ve.logits??ve.image_embeds;return xe}}class W extends y{constructor(Q){super(Q)}async _call(Q,{top_k:z=5}={}){const de=this.processor.feature_extractor.config.sampling_rate,be=await f(Q,de),ve=this.model.config.id2label,xe=[];for(const Ce of be){const ge=await this.processor(Ce),fe=(await this.model(ge)).logits[0],Pe=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(fe.data),fe.dims),z),We=Pe[0].tolist(),tt=Pe[1].tolist().map((Re,rt)=>({label:ve?ve[Re]:`LABEL_${Re}`,score:We[rt]}));xe.push(tt)}return Array.isArray(Q)?xe:xe[0]}}class B extends y{constructor(Q){super(Q)}async _call(Q,z,{hypothesis_template:de="This is a sound of {}."}={}){const be=!Array.isArray(Q);be&&(Q=[Q]);const ve=z.map(fe=>de.replace("{}",fe)),xe=this.tokenizer(ve,{padding:!0,truncation:!0}),Ce=this.processor.feature_extractor.config.sampling_rate,ge=await f(Q,Ce),De=[];for(const fe of ge){const Pe=await this.processor(fe),We=await this.model({...xe,...Pe}),Fe=(0,l.softmax)(We.logits_per_audio.data);De.push([...Fe].map((tt,Re)=>({score:tt,label:z[Re]})))}return be?De[0]:De}}class Y extends y{constructor(Q){super(Q)}async _call(Q,z={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(Q,z);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":case"parakeet_ctc":return this._call_wav2vec2(Q,z);case"moonshine":return this._call_moonshine(Q,z);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(Q,z){z.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),z.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const de=!Array.isArray(Q);de&&(Q=[Q]);const be=this.processor.feature_extractor.config.sampling_rate,ve=await f(Q,be),xe=[];for(const Ce of ve){const ge=await this.processor(Ce),fe=(await this.model(ge)).logits[0],Pe=[];for(const Fe of fe)Pe.push((0,l.max)(Fe.data)[1]);const We=this.tokenizer.decode(Pe,{skip_special_tokens:!0}).trim();xe.push({text:We})}return de?xe[0]:xe}async _call_whisper(Q,z){const de=z.return_timestamps??!1,be=z.chunk_length_s??0,ve=z.force_full_sequences??!1;let xe=z.stride_length_s??null;const Ce={...z};de==="word"&&(Ce.return_token_timestamps=!0,Ce.return_timestamps=!1);const ge=!Array.isArray(Q);ge&&(Q=[Q]);const De=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,fe=this.processor.feature_extractor.config.hop_length,Pe=this.processor.feature_extractor.config.sampling_rate,We=await f(Q,Pe),Fe=[];for(const tt of We){let Re=[];if(be>0){if(xe===null)xe=be/6;else if(be<=xe)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const je=Pe*be,Oe=Pe*xe,at=je-2*Oe;let ht=0;for(;;){const Nt=ht+je,kt=tt.subarray(ht,Nt),gr=await this.processor(kt),Or=ht===0,Bt=Nt>=tt.length;if(Re.push({stride:[kt.length,Or?0:Oe,Bt?0:Oe],input_features:gr.input_features,is_last:Bt}),Bt)break;ht+=at}}else Re=[{stride:[tt.length,0,0],input_features:(await this.processor(tt)).input_features,is_last:!0}];for(const je of Re){Ce.num_frames=Math.floor(je.stride[0]/fe);const Oe=await this.model.generate({inputs:je.input_features,...Ce});de==="word"?(je.tokens=Oe.sequences.tolist()[0],je.token_timestamps=Oe.token_timestamps.tolist()[0].map(at=>(0,l.round)(at,2))):je.tokens=Oe[0].tolist(),je.stride=je.stride.map(at=>at/Pe)}const[rt,Ze]=this.tokenizer._decode_asr(Re,{time_precision:De,return_timestamps:de,force_full_sequences:ve});Fe.push({text:rt,...Ze})}return ge?Fe[0]:Fe}async _call_moonshine(Q,z){const de=!Array.isArray(Q);de&&(Q=[Q]);const be=this.processor.feature_extractor.config.sampling_rate,ve=await f(Q,be),xe=[];for(const Ce of ve){const ge=await this.processor(Ce),De=Math.floor(Ce.length/be)*6,fe=await this.model.generate({max_new_tokens:De,...z,...ge}),Pe=this.processor.batch_decode(fe,{skip_special_tokens:!0})[0];xe.push({text:Pe})}return de?xe[0]:xe}}class X extends y{constructor(Q){super(Q)}async _call(Q,z={}){const de=Array.isArray(Q),be=await u(Q),{pixel_values:ve}=await this.processor(be),xe=[];for(const Ce of ve){Ce.dims=[1,...Ce.dims];const ge=await this.model.generate({inputs:Ce,...z}),De=this.tokenizer.batch_decode(ge,{skip_special_tokens:!0}).map(fe=>({generated_text:fe.trim()}));xe.push(De)}return de?xe:xe[0]}}class J extends y{constructor(Q){super(Q)}async _call(Q,{top_k:z=5}={}){const de=await u(Q),{pixel_values:be}=await this.processor(de),ve=await this.model({pixel_values:be}),xe=this.model.config.id2label,Ce=[];for(const ge of ve.logits){const De=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(ge.data),ge.dims),z),fe=De[0].tolist(),We=De[1].tolist().map((Fe,tt)=>({label:xe?xe[Fe]:`LABEL_${Fe}`,score:fe[tt]}));Ce.push(We)}return Array.isArray(Q)?Ce:Ce[0]}}class re extends y{constructor(Q){super(Q),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(Q,{threshold:z=.5,mask_threshold:de=.5,overlap_mask_area_threshold:be=.8,label_ids_to_fuse:ve=null,target_sizes:xe=null,subtask:Ce=null}={}){if(Array.isArray(Q)&&Q.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const De=await u(Q),fe=De.map(je=>[je.height,je.width]),Pe=await this.processor(De),{inputNames:We,outputNames:Fe}=this.model.sessions.model;if(!We.includes("pixel_values")){if(We.length!==1)throw Error(`Expected a single input name, but got ${We.length} inputs: ${We}.`);const je=We[0];if(je in Pe)throw Error(`Input name 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d.RawImage(ht,je.dims[1],je.dims[0],1);Ze.push({score:null,label:rt[at],mask:Nt})}}else throw Error(`Subtask ${Ce} not supported.`);else{const Oe=tt[Fe[0]];for(let at=0;at<fe.length;++at){const ht=fe[at],Nt=Oe[at];Nt.data.some(gr=>gr<-1e-5||gr>1+1e-5)&&Nt.sigmoid_();const kt=await d.RawImage.fromTensor(Nt.mul_(255).to("uint8")).resize(ht[1],ht[0]);Ze.push({label:null,score:null,mask:kt})}}return Ze}}class ne extends re{constructor(Q){super(Q)}async _call(Q,z={}){if(Array.isArray(Q)&&Q.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const be=await u(Q),ve=await super._call(Q,z);return be.map((Ce,ge)=>{const De=Ce.clone();return De.putAlpha(ve[ge].mask),De})}}class le extends y{constructor(Q){super(Q)}async _call(Q,z,{hypothesis_template:de="This is a photo of {}"}={}){const be=Array.isArray(Q),ve=await 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this.model({pixel_values:Ce,pixel_mask:ge}),fe=this.processor.image_processor.post_process_object_detection(De,z,xe),Pe=this.model.config.id2label,We=fe.map(Fe=>Fe.boxes.map((tt,Re)=>({score:Fe.scores[Re],label:Pe[Fe.classes[Re]],box:_(tt,!de)})));return be?We:We[0]}}class oe extends y{constructor(Q){super(Q)}async _call(Q,z,{threshold:de=.1,top_k:be=null,percentage:ve=!1}={}){const xe=Array.isArray(Q),Ce=await u(Q),ge=this.tokenizer(z,{padding:!0,truncation:!0}),De=await this.processor(Ce),fe=[];for(let Pe=0;Pe<Ce.length;++Pe){const We=Ce[Pe],Fe=ve?null:[[We.height,We.width]],tt=De.pixel_values[Pe].unsqueeze_(0),Re=await this.model({...ge,pixel_values:tt});let rt;if("post_process_grounded_object_detection"in this.processor){const Ze=this.processor.post_process_grounded_object_detection(Re,ge.input_ids,{box_threshold:de,text_threshold:de,target_sizes:Fe})[0];rt=Ze.boxes.map((je,Oe)=>({score:Ze.scores[Oe],label:Ze.labels[Oe],box:_(je,!ve)}))}else{const Ze=this.processor.image_processor.post_process_object_detection(Re,de,Fe,!0)[0];rt=Ze.boxes.map((je,Oe)=>({score:Ze.scores[Oe],label:z[Ze.classes[Oe]],box:_(je,!ve)}))}rt.sort((Ze,je)=>je.score-Ze.score),be!==null&&(rt=rt.slice(0,be)),fe.push(rt)}return xe?fe:fe[0]}}class K extends y{constructor(Q){super(Q)}async _call(Q,z,de={}){const be=(await u(Q))[0],{pixel_values:ve}=await this.processor(be),xe=`<s_docvqa><s_question>${z}</s_question><s_answer>`,Ce=this.tokenizer(xe,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,ge=await this.model.generate({inputs:ve,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:Ce,...de}),fe=this.tokenizer.batch_decode(ge)[0].match(/<s_answer>(.*?)<\/s_answer>/);let Pe=null;return fe&&fe.length>=2&&(Pe=fe[1].trim()),[{answer:Pe}]}}class j extends y{DEFAULT_VOCODER_ID="Xenova/speecht5_hifigan";constructor(Q){super(Q),this.vocoder=Q.vocoder??null}async _prepare_speaker_embeddings(Q){if((typeof Q=="string"||Q instanceof URL)&&(Q=new Float32Array(await(await fetch(Q)).arrayBuffer())),Q instanceof Float32Array)Q=new p.Tensor("float32",Q,[Q.length]);else if(!(Q instanceof p.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");return Q}async _call(Q,{speaker_embeddings:z=null,num_inference_steps:de,speed:be}={}){return this.processor?this._call_text_to_spectrogram(Q,{speaker_embeddings:z}):this.model.config.model_type==="supertonic"?this._call_supertonic(Q,{speaker_embeddings:z,num_inference_steps:de,speed:be}):this._call_text_to_waveform(Q)}async _call_supertonic(Q,{speaker_embeddings:z,num_inference_steps:de,speed:be}){if(!z)throw new Error("Speaker embeddings must be provided for Supertonic models.");z=await this._prepare_speaker_embeddings(z);const{sampling_rate:ve,style_dim:xe}=this.model.config;z=z.view(1,-1,xe);const Ce=this.tokenizer(Q,{padding:!0,truncation:!0}),{waveform:ge}=await this.model.generate_speech({...Ce,style:z,num_inference_steps:de,speed:be});return new c.RawAudio(ge.data,ve)}async _call_text_to_waveform(Q){const z=this.tokenizer(Q,{padding:!0,truncation:!0}),{waveform:de}=await this.model(z),be=this.model.config.sampling_rate;return new c.RawAudio(de.data,be)}async _call_text_to_spectrogram(Q,{speaker_embeddings:z}){this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await n.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"}));const{input_ids:de}=this.tokenizer(Q,{padding:!0,truncation:!0});z=await this._prepare_speaker_embeddings(z),z=z.view(1,-1);const{waveform:be}=await this.model.generate_speech(de,z,{vocoder:this.vocoder}),ve=this.processor.feature_extractor.config.sampling_rate;return new c.RawAudio(be.data,ve)}}class D extends y{constructor(Q){super(Q)}async _call(Q){const z=await u(Q),de=await this.processor(z),be=await this.model(de),ve=[];for(const xe of be.reconstruction){const Ce=xe.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");ve.push(d.RawImage.fromTensor(Ce))}return ve.length>1?ve:ve[0]}}class te extends y{constructor(Q){super(Q)}async _call(Q){const z=await u(Q),de=await this.processor(z),{predicted_depth:be}=await this.model(de),ve=[];for(let xe=0;xe<z.length;++xe){const Ce=be[xe],[ge,De]=Ce.dims.slice(-2),[fe,Pe]=z[xe].size,We=(await(0,p.interpolate_4d)(Ce.view(1,1,ge,De),{size:[Pe,fe],mode:"bilinear"})).view(Pe,fe),Fe=We.min().item(),tt=We.max().item(),Re=We.sub(Fe).div_(tt-Fe).mul_(255).to("uint8").unsqueeze(0),rt=d.RawImage.fromTensor(Re);ve.push({predicted_depth:We,depth:rt})}return ve.length>1?ve:ve[0]}}const he=Object.freeze({"text-classification":{tokenizer:s.AutoTokenizer,pipeline:I,model:n.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:s.AutoTokenizer,pipeline:w,model:n.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:s.AutoTokenizer,pipeline:v,model:n.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:s.AutoTokenizer,pipeline:k,model:n.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:s.AutoTokenizer,pipeline:b,model:n.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:s.AutoTokenizer,pipeline:P,model:n.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:s.AutoTokenizer,pipeline:T,model:n.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:s.AutoTokenizer,pipeline:S,model:n.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:s.AutoTokenizer,pipeline:O,model:n.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:W,model:n.AutoModelForAudioClassification,processor:o.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:s.AutoTokenizer,pipeline:B,model:n.AutoModel,processor:o.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:s.AutoTokenizer,pipeline:Y,model:[n.AutoModelForSpeechSeq2Seq,n.AutoModelForCTC],processor:o.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:s.AutoTokenizer,pipeline:j,model:[n.AutoModelForTextToWaveform,n.AutoModelForTextToSpectrogram],processor:[o.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:s.AutoTokenizer,pipeline:X,model:n.AutoModelForVision2Seq,processor:o.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:J,model:n.AutoModelForImageClassification,processor:o.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:re,model:[n.AutoModelForImageSegmentation,n.AutoModelForSemanticSegmentation,n.AutoModelForUniversalSegmentation],processor:o.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:ne,model:[n.AutoModelForImageSegmentation,n.AutoModelForSemanticSegmentation,n.AutoModelForUniversalSegmentation],processor:o.AutoProcessor,default:{model:"Xenova/modnet"},type:"image"},"zero-shot-image-classification":{tokenizer:s.AutoTokenizer,pipeline:le,model:n.AutoModel,processor:o.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:pe,model:n.AutoModelForObjectDetection,processor:o.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:s.AutoTokenizer,pipeline:oe,model:n.AutoModelForZeroShotObjectDetection,processor:o.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:s.AutoTokenizer,pipeline:K,model:n.AutoModelForDocumentQuestionAnswering,processor:o.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:D,model:n.AutoModelForImageToImage,processor:o.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:te,model:n.AutoModelForDepthEstimation,processor:o.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:s.AutoTokenizer,pipeline:F,model:n.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:o.AutoProcessor,pipeline:H,model:[n.AutoModelForImageFeatureExtraction,n.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),Ae=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function ke(Te,Q=null,{progress_callback:z=null,config:de=null,cache_dir:be=null,local_files_only:ve=!1,revision:xe="main",device:Ce=null,dtype:ge=null,subfolder:De="onnx",use_external_data_format:fe=null,model_file_name:Pe=null,session_options:We={}}={}){Te=Ae[Te]??Te;const Fe=he[Te.split("_",1)[0]];if(!Fe)throw Error(`Unsupported pipeline: ${Te}. 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P="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",x=new RegExp(`^[${P}]+$`,"gu"),S=".,!?…。，、।۔،",O=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"],["(?i:[sdmt]|ll|ve|re)","(?:[sS]|[dD]|[mM]|[tT]|[lL][lL]|[vV][eE]|[rR][eE])"],["[^\\r\\n\\p{L}\\p{N}]?+","[^\\r\\n\\p{L}\\p{N}]?"],["[^\\s\\p{L}\\p{N}]++","[^\\s\\p{L}\\p{N}]+"],[` ?[^(\\s|[${S}])]+`,` ?[^\\s${S}]+`]]);class F{constructor($){this.content=$.content,this.id=$.id,this.single_word=$.single_word??!1,this.lstrip=$.lstrip??!1,this.rstrip=$.rstrip??!1,this.special=$.special??!1,this.normalized=$.normalized??null}}class H extends s.Callable{constructor($){super(),this.config=$,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig($,...U){switch($.type){case"WordPiece":return new W($);case"Unigram":return new B($,...U);case"BPE":return new J($);default:if($.vocab)return Array.isArray($.vocab)?new B($,...U):Object.hasOwn($,"continuing_subword_prefix")&&Object.hasOwn($,"unk_token")?Object.hasOwn($,"merges")?new J($):new W($):new re($,...U);throw new Error(`Unknown TokenizerModel type: ${$.type}`)}}_call($){return $=this.encode($),this.fuse_unk&&($=T($,this.tokens_to_ids,this.unk_token_id)),$}encode($){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids($){return $.map(U=>this.tokens_to_ids.get(U)??this.unk_token_id)}convert_ids_to_tokens($){return $.map(U=>this.vocab[U]??this.unk_token)}}class W extends H{constructor($){super($),this.tokens_to_ids=_($.vocab),this.unk_token_id=this.tokens_to_ids.get($.unk_token),this.unk_token=$.unk_token,this.max_input_chars_per_word=$.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[U,ee]of this.tokens_to_ids)this.vocab[ee]=U}encode($){const U=[];for(const ee of $){const se=[...ee];if(se.length>this.max_input_chars_per_word){U.push(this.unk_token);continue}let Me=!1,$e=0;const Xe=[];for(;$e<se.length;){let Je=se.length,Ye=null;for(;$e<Je;){let Ke=se.slice($e,Je).join("");if($e>0&&(Ke=this.config.continuing_subword_prefix+Ke),this.tokens_to_ids.has(Ke)){Ye=Ke;break}--Je}if(Ye===null){Me=!0;break}Xe.push(Ye),$e=Je}Me?U.push(this.unk_token):U.push(...Xe)}return U}}class B extends H{constructor($,U){super($);const ee=$.vocab.length;this.vocab=new Array(ee),this.scores=new Array(ee);for(let se=0;se<ee;++se)[this.vocab[se],this.scores[se]]=$.vocab[se];this.unk_token_id=$.unk_id,this.unk_token=this.vocab[$.unk_id],this.tokens_to_ids=new Map(this.vocab.map((se,Me)=>[se,Me])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=U.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.minScore=(0,i.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new l.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes($){const U=$.chars,ee=1;let se=0;for(;se<U.length;){let Me=!1;const $e=U.slice(se).join(""),Xe=this.trie.commonPrefixSearch($e);for(const Je of Xe){const Ye=this.tokens_to_ids.get(Je),Ke=this.scores[Ye],$t=(0,n.len)(Je);$.insert(se,$t,Ke,Ye),!Me&&$t===ee&&(Me=!0)}Me||$.insert(se,ee,this.unk_score,this.unk_token_id),se+=ee}}tokenize($){const U=new l.TokenLattice($,this.bos_token_id,this.eos_token_id);return this.populateNodes(U),U.tokens()}encode($){const U=[];for(const ee of $){const se=this.tokenize(ee);U.push(...se)}return U}}const Y=(()=>{const ue=[...Array.from({length:94},(se,Me)=>Me+33),...Array.from({length:12},(se,Me)=>Me+161),...Array.from({length:82},(se,Me)=>Me+174)],$=ue.slice();let U=0;for(let se=0;se<256;++se)ue.includes(se)||(ue.push(se),$.push(256+U),U+=1);const ee=$.map(se=>String.fromCharCode(se));return Object.fromEntries(ue.map((se,Me)=>[se,ee[Me]]))})(),X=(0,n.reverseDictionary)(Y);class J extends H{constructor($){super($),this.tokens_to_ids=_($.vocab),this.unk_token_id=this.tokens_to_ids.get($.unk_token),this.unk_token=$.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[ee,se]of this.tokens_to_ids)this.vocab[se]=ee;const U=Array.isArray($.merges[0]);this.merges=U?$.merges:$.merges.map(ee=>ee.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((ee,se)=>[JSON.stringify(ee),se])),this.end_of_word_suffix=$.end_of_word_suffix,this.continuing_subword_suffix=$.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new l.LRUCache(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe($){if($.length===0)return[];const U=this.cache.get($);if(U!==void 0)return U;const ee=Array.from($);this.end_of_word_suffix&&(ee[ee.length-1]+=this.end_of_word_suffix);let se=[];if(ee.length>1){const Me=new l.PriorityQueue((Je,Ye)=>Je.score<Ye.score);let $e={token:ee[0],bias:0,prev:null,next:null},Xe=$e;for(let Je=1;Je<ee.length;++Je){const Ye={bias:Je/ee.length,token:ee[Je],prev:Xe,next:null};Xe.next=Ye,this._add_node(Me,Xe),Xe=Ye}for(;!Me.isEmpty();){const Je=Me.pop();if(Je.deleted||!Je.next||Je.next.deleted)continue;if(Je.deleted=!0,Je.next.deleted=!0,Je.prev){const Ke={...Je.prev};Je.prev.deleted=!0,Je.prev=Ke,Ke.prev?Ke.prev.next=Ke:$e=Ke}const Ye={token:Je.token+Je.next.token,bias:Je.bias,prev:Je.prev,next:Je.next.next};Ye.prev?(Ye.prev.next=Ye,this._add_node(Me,Ye.prev)):$e=Ye,Ye.next&&(Ye.next.prev=Ye,this._add_node(Me,Ye))}for(let Je=$e;Je!==null;Je=Je.next)se.push(Je.token)}else se=ee;if(this.continuing_subword_suffix)for(let Me=0;Me<se.length-1;++Me)se[Me]+=this.continuing_subword_suffix;return $.length<this.max_length_to_cache&&this.cache.put($,se),se}_add_node($,U){const ee=this.bpe_ranks.get(JSON.stringify([U.token,U.next.token]));ee!==void 0&&(U.score=ee+U.bias,$.push(U))}encode($){const U=[];for(const ee of $){if(this.ignore_merges&&this.tokens_to_ids.has(ee)){U.push(ee);continue}const se=this.bpe(ee);for(const Me of se)if(this.tokens_to_ids.has(Me))U.push(Me);else if(this.byte_fallback){const $e=Array.from(this.text_encoder.encode(Me)).map(Xe=>`<0x${Xe.toString(16).toUpperCase().padStart(2,"0")}>`);$e.every(Xe=>this.tokens_to_ids.has(Xe))?U.push(...$e):U.push(this.unk_token)}else U.push(this.unk_token)}return U}}class re extends H{constructor($,U){super($),this.tokens_to_ids=_(U.target_lang?$.vocab[U.target_lang]:$.vocab),this.bos_token=U.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=U.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=U.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=U.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[ee,se]of this.tokens_to_ids)this.vocab[se]=ee}encode($){return $}}class ne extends s.Callable{constructor($){super(),this.config=$}static fromConfig($){if($===null)return null;switch($.type){case"BertNormalizer":return new Te($);case"Precompiled":return new Bt($);case"Sequence":return new Ve($);case"Replace":return new le($);case"NFC":return new oe($);case"NFD":return new K($);case"NFKC":return new j($);case"NFKD":return new D($);case"Strip":return new te($);case"StripAccents":return new he($);case"Lowercase":return new Ae($);case"Prepend":return new ke($);default:throw new Error(`Unknown Normalizer type: ${$.type}`)}}normalize($){throw Error("normalize should be implemented in subclass.")}_call($){return this.normalize($)}}class le extends ne{normalize($){const U=f(this.config.pattern);return U===null?$:$.replaceAll(U,this.config.content)}}class pe extends ne{form=void 0;normalize($){return $=$.normalize(this.form),$}}class oe extends pe{form="NFC"}class K extends pe{form="NFD"}class j extends pe{form="NFKC"}class D extends pe{form="NFKD"}class te extends ne{normalize($){return this.config.strip_left&&this.config.strip_right?$=$.trim():(this.config.strip_left&&($=$.trimStart()),this.config.strip_right&&($=$.trimEnd())),$}}class he extends ne{normalize($){return $=w($),$}}class Ae extends ne{normalize($){return $=$.toLowerCase(),$}}class ke extends ne{normalize($){return $=this.config.prepend+$,$}}class Ve extends ne{constructor($){super($),this.normalizers=$.normalizers.map(U=>ne.fromConfig(U))}normalize($){return this.normalizers.reduce((U,ee)=>ee.normalize(U),$)}}class Te extends ne{_tokenize_chinese_chars($){const U=[];for(let ee=0;ee<$.length;++ee){const se=$[ee],Me=se.charCodeAt(0);k(Me)?(U.push(" "),U.push(se),U.push(" ")):U.push(se)}return U.join("")}stripAccents($){return $.normalize("NFD").replace(new RegExp("\\p{Mn}","gu"),"")}_is_control($){switch($){case"	":case`
-`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test($)}}_clean_text($){const U=[];for(const ee of $){const se=ee.charCodeAt(0);se===0||se===65533||this._is_control(ee)||(/^\s$/.test(ee)?U.push(" "):U.push(ee))}return U.join("")}normalize($){return this.config.clean_text&&($=this._clean_text($)),this.config.handle_chinese_chars&&($=this._tokenize_chinese_chars($)),this.config.lowercase?($=$.toLowerCase(),this.config.strip_accents!==!1&&($=this.stripAccents($))):this.config.strip_accents&&($=this.stripAccents($)),$}}class Q extends s.Callable{static fromConfig($){if($===null)return null;switch($.type){case"BertPreTokenizer":return new z($);case"Sequence":return new jr($);case"Whitespace":return new Qs($);case"WhitespaceSplit":return new Xs($);case"Metaspace":return new gr($);case"ByteLevel":return new de($);case"Split":return new be($);case"Punctuation":return new ve($);case"Digits":return new xe($);case"Replace":return new Js($);case"FixedLength":return new ar($);default:throw new Error(`Unknown PreTokenizer type: ${$.type}`)}}pre_tokenize_text($,U){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize($,U){return(Array.isArray($)?$.map(ee=>this.pre_tokenize_text(ee,U)):this.pre_tokenize_text($,U)).flat()}_call($,U){return this.pre_tokenize($,U)}}class z extends Q{constructor($){super(),this.pattern=new RegExp(`[^\\s${P}]+|[${P}]`,"gu")}pre_tokenize_text($,U){return $.trim().match(this.pattern)||[]}}class de extends Q{constructor($){super(),this.config=$,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Y,this.text_encoder=new TextEncoder}pre_tokenize_text($,U){return this.add_prefix_space&&!$.startsWith(" ")&&($=" "+$),(this.use_regex?$.match(this.pattern)||[]:[$]).map(se=>Array.from(this.text_encoder.encode(se),Me=>this.byte_encoder[Me]).join(""))}}class be extends Q{constructor($){super(),this.config=$,this.pattern=f(this.config.pattern,this.config.invert)}pre_tokenize_text($,U){return this.pattern===null?[]:this.config.invert?$.match(this.pattern)||[]:this.config.behavior?.toLowerCase()==="removed"?$.split(this.pattern).filter(ee=>ee):u($,this.pattern)}}class ve extends Q{constructor($){super(),this.config=$,this.pattern=new RegExp(`[^${P}]+|[${P}]+`,"gu")}pre_tokenize_text($,U){return $.match(this.pattern)||[]}}class xe extends Q{constructor($){super(),this.config=$;const U=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(U,"gu")}pre_tokenize_text($,U){return $.match(this.pattern)||[]}}class Ce extends s.Callable{constructor($){super(),this.config=$}static fromConfig($){if($===null)return null;switch($.type){case"TemplateProcessing":return new fe($);case"ByteLevel":return new Pe($);case"RobertaProcessing":return new De($);case"BertProcessing":return new ge($);case"Sequence":return new We($);default:throw new Error(`Unknown PostProcessor type: ${$.type}`)}}post_process($,...U){throw Error("post_process should be implemented in subclass.")}_call($,...U){return this.post_process($,...U)}}class ge extends Ce{constructor($){super($),this.cls=$.cls[0],this.sep=$.sep[0]}post_process($,U=null,{add_special_tokens:ee=!0}={}){ee&&($=(0,n.mergeArrays)([this.cls],$,[this.sep]));let se=new Array($.length).fill(0);if(U!==null){const Me=ee&&this instanceof De?[this.sep]:[],$e=ee?[this.sep]:[];$=(0,n.mergeArrays)($,Me,U,$e),se=(0,n.mergeArrays)(se,new Array(U.length+Me.length+$e.length).fill(1))}return{tokens:$,token_type_ids:se}}}class De extends ge{}class fe extends Ce{constructor($){super($),this.single=$.single,this.pair=$.pair}post_process($,U=null,{add_special_tokens:ee=!0}={}){const se=U===null?this.single:this.pair;let Me=[],$e=[];for(const Xe of se)"SpecialToken"in Xe?ee&&(Me.push(Xe.SpecialToken.id),$e.push(Xe.SpecialToken.type_id)):"Sequence"in Xe&&(Xe.Sequence.id==="A"?(Me=(0,n.mergeArrays)(Me,$),$e=(0,n.mergeArrays)($e,new Array($.length).fill(Xe.Sequence.type_id))):Xe.Sequence.id==="B"&&(Me=(0,n.mergeArrays)(Me,U),$e=(0,n.mergeArrays)($e,new Array(U.length).fill(Xe.Sequence.type_id))));return{tokens:Me,token_type_ids:$e}}}class Pe extends Ce{post_process($,U=null){return U&&($=(0,n.mergeArrays)($,U)),{tokens:$}}}class We extends Ce{constructor($){super($),this.processors=$.processors.map(U=>Ce.fromConfig(U))}post_process($,U=null,ee={}){let se;for(const Me of this.processors)if(Me instanceof Pe)$=Me.post_process($).tokens,U&&(U=Me.post_process(U).tokens);else{const $e=Me.post_process($,U,ee);$=$e.tokens,se=$e.token_type_ids}return{tokens:$,token_type_ids:se}}}class Fe extends s.Callable{constructor($){super(),this.config=$,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=$.trim_offsets}static fromConfig($){if($===null)return null;switch($.type){case"WordPiece":return new je($);case"Metaspace":return new Or($);case"ByteLevel":return new Oe($);case"Replace":return new tt($);case"ByteFallback":return new Re($);case"Fuse":return new rt($);case"Strip":return new Ze($);case"Sequence":return new ht($);case"CTC":return new at($);case"BPEDecoder":return new Nt($);default:throw new Error(`Unknown Decoder type: ${$.type}`)}}_call($){return this.decode($)}decode($){return this.decode_chain($).join("")}decode_chain($){throw Error("`decode_chain` should be implemented in subclass.")}}class tt extends Fe{decode_chain($){const U=f(this.config.pattern);return U===null?$:$.map(ee=>ee.replaceAll(U,this.config.content))}}class Re extends Fe{constructor($){super($),this.text_decoder=new TextDecoder}decode_chain($){const U=[];let ee=[];for(const se of $){let Me=null;if(se.length===6&&se.startsWith("<0x")&&se.endsWith(">")){const $e=parseInt(se.slice(3,5),16);isNaN($e)||(Me=$e)}if(Me!==null)ee.push(Me);else{if(ee.length>0){const $e=this.text_decoder.decode(Uint8Array.from(ee));U.push($e),ee=[]}U.push(se)}}if(ee.length>0){const se=this.text_decoder.decode(Uint8Array.from(ee));U.push(se),ee=[]}return U}}class rt extends Fe{decode_chain($){return[$.join("")]}}class Ze extends Fe{constructor($){super($),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain($){return $.map(U=>{let ee=0;for(let Me=0;Me<this.start&&U[Me]===this.content;++Me){ee=Me+1;continue}let se=U.length;for(let Me=0;Me<this.stop;++Me){const $e=U.length-Me-1;if(U[$e]===this.content){se=$e;continue}else break}return U.slice(ee,se)})}}class je extends Fe{constructor($){super($),this.cleanup=$.cleanup}decode_chain($){return $.map((U,ee)=>(ee!==0&&(U.startsWith(this.config.prefix)?U=U.replace(this.config.prefix,""):U=" "+U),this.cleanup&&(U=I(U)),U))}}class Oe extends Fe{constructor($){super($),this.byte_decoder=X,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string($){const U=$.join(""),ee=new Uint8Array([...U].map(Me=>this.byte_decoder[Me]));return this.text_decoder.decode(ee)}decode_chain($){const U=[];let ee=[];for(const se of $)this.added_tokens.find(Me=>Me.content===se)!==void 0?(ee.length>0&&(U.push(this.convert_tokens_to_string(ee)),ee=[]),U.push(se)):ee.push(se);return ee.length>0&&U.push(this.convert_tokens_to_string(ee)),U}}class at extends Fe{constructor($){super($),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string($){if($.length===0)return"";const U=[$[0]];for(let Me=1;Me<$.length;++Me)$[Me]!==U.at(-1)&&U.push($[Me]);let se=U.filter(Me=>Me!==this.pad_token).join("");return this.cleanup&&(se=I(se).replaceAll(this.word_delimiter_token," ").trim()),se}decode_chain($){return[this.convert_tokens_to_string($)]}}class ht extends Fe{constructor($){super($),this.decoders=$.decoders.map(U=>Fe.fromConfig(U))}decode_chain($){return this.decoders.reduce((U,ee)=>ee.decode_chain(U),$)}}class Nt extends Fe{constructor($){super($),this.suffix=this.config.suffix}decode_chain($){return $.map((U,ee)=>U.replaceAll(this.suffix,ee===$.length-1?"":" "))}}class kt extends Fe{decode_chain($){let U="";for(let ee=1;ee<$.length;ee+=2)U+=$[ee];return[U]}}class gr extends Q{constructor($){super(),this.replacement=$.replacement,this.strRep=$.str_rep||this.replacement,this.prepend_scheme=$.prepend_scheme??"always"}pre_tokenize_text($,{section_index:U=void 0}={}){let ee=$.replaceAll(" ",this.strRep);return!ee.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&U===0)&&(ee=this.strRep+ee),[ee]}}class Or extends Fe{constructor($){super($),this.replacement=$.replacement}decode_chain($){const U=[];for(let ee=0;ee<$.length;++ee){let se=$[ee].replaceAll(this.replacement," ");ee==0&&se.startsWith(" ")&&(se=se.substring(1)),U.push(se)}return U}}class Bt extends ne{constructor($){super($),this.charsmap=$.precompiled_charsmap}normalize($){return $=$.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),$=$.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),$.includes("～")?$=$.split("～").map(ee=>ee.normalize("NFKC")).join("～"):$=$.normalize("NFKC"),$}}class jr extends Q{constructor($){super(),this.tokenizers=$.pretokenizers.map(U=>Q.fromConfig(U))}pre_tokenize_text($,U){return this.tokenizers.reduce((ee,se)=>se.pre_tokenize(ee,U),[$])}}class Qs extends Q{constructor($){super()}pre_tokenize_text($,U){return $.match(/\w+|[^\w\s]+/g)||[]}}class Xs extends Q{constructor($){super()}pre_tokenize_text($,U){return b($)}}class Js extends Q{constructor($){super(),this.config=$,this.pattern=f(this.config.pattern),this.content=this.config.content}pre_tokenize_text($,U){return this.pattern===null?[$]:[$.replaceAll(this.pattern,this.config.content)]}}class ar extends Q{constructor($){super(),this._length=$.length}pre_tokenize_text($,U){const ee=[];for(let se=0;se<$.length;se+=this._length)ee.push($.slice(se,se+this._length));return ee}}const kr=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function Jr(ue,$,U,ee){for(const se of Object.keys(ue)){const Me=$-ue[se].length,$e=U(se),Xe=new Array(Me).fill($e);ue[se]=ee==="right"?(0,n.mergeArrays)(ue[se],Xe):(0,n.mergeArrays)(Xe,ue[se])}}function Bs(ue,$){for(const U of Object.keys(ue))ue[U].length=$}class ft extends s.Callable{return_token_type_ids=!1;padding_side="right";constructor($,U){super(),this.config=U,this.normalizer=ne.fromConfig($.normalizer),this.pre_tokenizer=Q.fromConfig($.pre_tokenizer),this.model=H.fromConfig($.model,U),this.post_processor=Ce.fromConfig($.post_processor),this.decoder=Fe.fromConfig($.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const ee of $.added_tokens){const se=new F(ee);this.added_tokens.push(se),this.model.tokens_to_ids.set(se.content,se.id),this.model.vocab[se.id]=se.content,se.special&&(this.special_tokens.push(se.content),this.all_special_ids.push(se.id))}if(this.additional_special_tokens=U.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_splitter=new l.DictionarySplitter(this.added_tokens.map(ee=>ee.content)),this.added_tokens_map=new Map(this.added_tokens.map(ee=>[ee.content,ee])),this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=U.model_max_length,this.remove_space=U.remove_space,this.clean_up_tokenization_spaces=U.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=U.do_lowercase_and_remove_accent??!1,U.padding_side&&(this.padding_side=U.padding_side),this.add_bos_token=U.add_bos_token,this.add_eos_token=U.add_eos_token,this.legacy=!1,this.chat_template=U.chat_template??null,Array.isArray(this.chat_template)){const ee=Object.create(null);for(const{name:se,template:Me}of this.chat_template){if(typeof se!="string"||typeof Me!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');ee[se]=Me}this.chat_template=ee}this._compiled_template_cache=new Map}getToken(...$){for(const U of $){const ee=this.config[U];if(ee)if(typeof ee=="object"){if(ee.__type==="AddedToken")return ee.content;throw Error(`Unknown token: ${ee}`)}else return ee}return null}static async from_pretrained($,{progress_callback:U=null,config:ee=null,cache_dir:se=null,local_files_only:Me=!1,revision:$e="main",legacy:Xe=null}={}){const Je=await d($,{progress_callback:U,config:ee,cache_dir:se,local_files_only:Me,revision:$e,legacy:Xe});return new this(...Je)}_call($,{text_pair:U=null,add_special_tokens:ee=!0,padding:se=!1,truncation:Me=null,max_length:$e=null,return_tensor:Xe=!0,return_token_type_ids:Je=null}={}){const Ye=Array.isArray($);let Ke;if(Ye){if($.length===0)throw Error("text array must be non-empty");if(U!==null){if(Array.isArray(U)){if($.length!==U.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");Ke=$.map((Et,rr)=>this._encode_plus(Et,{text_pair:U[rr],add_special_tokens:ee,return_token_type_ids:Je}))}else Ke=$.map(Et=>this._encode_plus(Et,{add_special_tokens:ee,return_token_type_ids:Je}))}else{if($==null)throw Error("text may not be null or undefined");if(Array.isArray(U))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");Ke=[this._encode_plus($,{text_pair:U,add_special_tokens:ee,return_token_type_ids:Je})]}if($e===null?$e=this.model_max_length:Me===null&&(se===!0?(console.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),$e=this.model_max_length):se===!1&&(console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation: true` to explicitly truncate examples to max length."),Me=!0)),se===!0&&($e=Math.min((0,i.max)(Ke.map(Et=>Et.input_ids.length))[0],$e??1/0)),$e=Math.min($e,this.model_max_length??1/0),se||Me)for(let Et=0;Et<Ke.length;++Et)Ke[Et].input_ids.length!==$e&&(Ke[Et].input_ids.length>$e?Me&&Bs(Ke[Et],$e):se&&Jr(Ke[Et],$e,rr=>rr==="input_ids"?this.pad_token_id:0,this.padding_side));const $t={};if(Xe){if(!(se&&Me)&&Ke.some(rr=>{for(const br of Object.keys(rr))if(rr[br].length!==Ke[0][br]?.length)return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const Et=[Ke.length,Ke[0].input_ids.length];for(const rr of Object.keys(Ke[0]))$t[rr]=new a.Tensor("int64",BigInt64Array.from(Ke.flatMap(br=>br[rr]).map(BigInt)),Et)}else{for(const Et of Object.keys(Ke[0]))$t[Et]=Ke.map(rr=>rr[Et]);if(!Ye)for(const Et of Object.keys($t))$t[Et]=$t[Et][0]}return $t}_encode_text($){if($===null)return null;const U=this.added_tokens_splitter.split($);for(let se=0;se<U.length;++se){const Me=this.added_tokens_map.get(U[se]);Me&&(Me.lstrip&&se>0&&(U[se-1]=U[se-1].trimEnd()),Me.rstrip&&se<U.length-1&&(U[se+1]=U[se+1].trimStart()))}return U.flatMap((se,Me)=>{if(se.length===0)return[];if(this.added_tokens_map.has(se))return[se];if(this.remove_space===!0&&(se=se.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(se=v(se)),this.normalizer!==null&&(se=this.normalizer(se)),se.length===0)return[];const $e=this.pre_tokenizer!==null?this.pre_tokenizer(se,{section_index:Me}):[se];return this.model($e)})}_encode_plus($,{text_pair:U=null,add_special_tokens:ee=!0,return_token_type_ids:se=null}={}){const{tokens:Me,token_type_ids:$e}=this._tokenize_helper($,{pair:U,add_special_tokens:ee}),Xe=this.model.convert_tokens_to_ids(Me),Je={input_ids:Xe,attention_mask:new Array(Xe.length).fill(1)};return(se??this.return_token_type_ids)&&$e&&(Je.token_type_ids=$e),Je}_tokenize_helper($,{pair:U=null,add_special_tokens:ee=!1}={}){const se=this._encode_text($),Me=this._encode_text(U);return this.post_processor?this.post_processor(se,Me,{add_special_tokens:ee}):{tokens:(0,n.mergeArrays)(se??[],Me??[])}}tokenize($,{pair:U=null,add_special_tokens:ee=!1}={}){return this._tokenize_helper($,{pair:U,add_special_tokens:ee}).tokens}encode($,{text_pair:U=null,add_special_tokens:ee=!0,return_token_type_ids:se=null}={}){return this._encode_plus($,{text_pair:U,add_special_tokens:ee,return_token_type_ids:se}).input_ids}batch_decode($,U={}){return $ instanceof a.Tensor&&($=$.tolist()),$.map(ee=>this.decode(ee,U))}decode($,U={}){if($ instanceof a.Tensor&&($=y($)),!Array.isArray($)||$.length===0||!(0,n.isIntegralNumber)($[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single($,U)}decode_single($,{skip_special_tokens:U=!1,clean_up_tokenization_spaces:ee=null}){let se=this.model.convert_ids_to_tokens($);U&&(se=se.filter($e=>!this.special_tokens.includes($e)));let Me=this.decoder?this.decoder(se):se.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Me=Me.replaceAll(this.decoder.end_of_word_suffix," "),U&&(Me=Me.trim())),(ee??this.clean_up_tokenization_spaces)&&(Me=I(Me)),Me}get_chat_template({chat_template:$=null,tools:U=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const ee=this.chat_template;if($!==null&&Object.hasOwn(ee,$))$=ee[$];else if($===null)if(U!==null&&"tool_use"in ee)$=ee.tool_use;else if("default"in ee)$=ee.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(ee).sort()}.`)}else if($===null)if(this.chat_template)$=this.chat_template;else throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating");return $}apply_chat_template($,{tools:U=null,documents:ee=null,chat_template:se=null,add_generation_prompt:Me=!1,tokenize:$e=!0,padding:Xe=!1,truncation:Je=!1,max_length:Ye=null,return_tensor:Ke=!0,return_dict:$t=!1,tokenizer_kwargs:Et={},...rr}={}){if(se=this.get_chat_template({chat_template:se,tools:U}),typeof se!="string")throw Error(`chat_template must be a string, but got ${typeof se}`);let br=this._compiled_template_cache.get(se);br===void 0&&(br=new c.Template(se),this._compiled_template_cache.set(se,br));const Jt=Object.create(null);for(const Ht of kr){const Hr=this.getToken(Ht);Hr&&(Jt[Ht]=Hr)}const sr=br.render({messages:$,add_generation_prompt:Me,tools:U,documents:ee,...Jt,...rr});if($e){const Ht=this._call(sr,{add_special_tokens:!1,padding:Xe,truncation:Je,max_length:Ye,return_tensor:Ke,...Et});return $t?Ht:Ht.input_ids}return sr}}class qt extends ft{return_token_type_ids=!0}class Ts extends ft{return_token_type_ids=!0}class Ps extends ft{return_token_type_ids=!0}class Gr extends ft{return_token_type_ids=!0}class yt extends ft{return_token_type_ids=!0}class Es extends ft{return_token_type_ids=!0}class C extends ft{return_token_type_ids=!0}class q extends ft{return_token_type_ids=!0}class R extends ft{return_token_type_ids=!0}class G extends ft{}class Z extends ft{}class ce extends ft{return_token_type_ids=!0;constructor($,U){super($,U),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class ye extends ft{return_token_type_ids=!0}class et extends ft{}class ut extends ft{}class He extends ft{}class Mt extends ft{constructor($,U){super($,U),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(ee=>this.languageRegex.test(ee)),this.lang_to_token=ee=>ee}_build_translation_inputs($,U,ee){return lr(this,$,U,ee)}}class qe extends Mt{}class Pt extends ft{}class It extends ft{}const Mr="▁";class pr extends ft{padding_side="left";constructor($,U){super($,U),this.legacy=U.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new gr({replacement:Mr,prepend_scheme:"first"}))}_encode_text($){if($===null)return null;if(this.legacy||$.length===0)return super._encode_text($);let U=super._encode_text(Mr+$.replaceAll(Mr," "));return U.length>1&&U[0]===Mr&&this.special_tokens.includes(U[1])&&(U=U.slice(1)),U}}class ir extends ft{}class Tr extends ft{}class Cs extends ft{}class Dr extends ft{}class Ss extends ft{}class Lr extends ft{}class zr extends ft{}class ns extends ft{}class wr extends ft{}function lr(ue,$,U,ee){if(!("language_codes"in ue)||!Array.isArray(ue.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in ue)||!(ue.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in ue)||typeof ue.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const se=ee.src_lang,Me=ee.tgt_lang;if(!ue.language_codes.includes(Me))throw new Error(`Target language code "${Me}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);if(se!==void 0){if(!ue.language_codes.includes(se))throw new Error(`Source language code "${se}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);for(const $e of ue.post_processor.config.single)if("SpecialToken"in $e&&ue.languageRegex.test($e.SpecialToken.id)){$e.SpecialToken.id=ue.lang_to_token(se);break}}return ee.forced_bos_token_id=ue.model.convert_tokens_to_ids([ue.lang_to_token(Me)])[0],ue._call($,U)}class Kr extends ft{constructor($,U){super($,U),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(ee=>this.languageRegex.test(ee)),this.lang_to_token=ee=>ee}_build_translation_inputs($,U,ee){return lr(this,$,U,ee)}}class os extends ft{constructor($,U){super($,U),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(ee=>this.languageRegex.test(ee)).map(ee=>ee.slice(2,-2)),this.lang_to_token=ee=>`__${ee}__`}_build_translation_inputs($,U,ee){return lr(this,$,U,ee)}}class Rs extends ft{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr($,{return_timestamps:U=!1,return_language:ee=!1,time_precision:se=null,force_full_sequences:Me=!0}={}){if(se===null)throw Error("Must specify time_precision");let $e=null;const Xe=U==="word";function Je(){return{language:$e,timestamp:[null,null],text:""}}const Ye=[];let Ke=Je(),$t=0;const Et=this.timestamp_begin,br=Et+1500;let Jt=[],sr=[],Ht=!1,Hr=null;const is=new Set(this.all_special_ids);for(const Yt of $){const hr=Yt.tokens,$r=Xe?Yt.token_timestamps:null;let Yr=null,bs=Et;if("stride"in Yt){const[vr,Zt,_r]=Yt.stride;if($t-=Zt,Hr=vr-_r,Zt&&(bs=Zt/se+Et),_r)for(let cr=hr.length-1;cr>=0;--cr){const Ur=Number(hr[cr]);if(Ur>=Et){if(Yr!==null&&(Ur-Et)*se<Hr)break;Yr=Ur}}}let yr=[],ls=[];for(let vr=0;vr<hr.length;++vr){const Zt=Number(hr[vr]);if(is.has(Zt)){const _r=this.decode([Zt]),cr=p.WHISPER_LANGUAGE_MAPPING.get(_r.slice(2,-2));if(cr!==void 0){if($e!==null&&cr!==$e&&!U){Jt.push(yr);const Ur=this.findLongestCommonSequence(Jt)[0],Ys=this.decode(Ur);Ke.text=Ys,Ye.push(Ke),Jt=[],yr=[],Ke=Je()}$e=Ke.language=cr}}else if(Zt>=Et&&Zt<=br){const _r=(Zt-Et)*se+$t,cr=(0,i.round)(_r,2);if(Yr!==null&&Zt>=Yr)Ht=!0;else if(Ht||Jt.length>0&&Zt<bs)Ht=!1;else if(Ke.timestamp[0]===null)Ke.timestamp[0]=cr;else if(cr!==Ke.timestamp[0]){Ke.timestamp[1]=cr,Jt.push(yr),Xe&&sr.push(ls);const[Ur,Ys]=this.findLongestCommonSequence(Jt,sr),Fs=this.decode(Ur);Ke.text=Fs,Xe&&(Ke.words=this.collateWordTimestamps(Ur,Ys,$e)),Ye.push(Ke),Jt=[],yr=[],sr=[],ls=[],Ke=Je()}}else if(yr.push(Zt),Xe){let _r=(0,i.round)($r[vr]+$t,2),cr;if(vr+1<$r.length){cr=(0,i.round)($r[vr+1]+$t,2);const Ur=this.decode([Zt]);x.test(Ur)&&(cr=(0,i.round)(Math.min(_r+se,cr),2))}else cr=null;ls.push([_r,cr])}}if("stride"in Yt){const[vr,Zt,_r]=Yt.stride;$t+=vr-_r}yr.length>0?(Jt.push(yr),Xe&&sr.push(ls)):Jt.every(vr=>vr.length===0)&&(Ke=Je(),Jt=[],yr=[],sr=[],ls=[])}if(Jt.length>0){if(Me&&U)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[Yt,hr]=this.findLongestCommonSequence(Jt,sr),$r=this.decode(Yt);Ke.text=$r,Xe&&(Ke.words=this.collateWordTimestamps(Yt,hr,$e)),Ye.push(Ke)}let Pr=Object.create(null);const ws=Ye.map(Yt=>Yt.text).join("");if(U||ee){for(let Yt=0;Yt<Ye.length;++Yt){const hr=Ye[Yt];U||delete hr.timestamp,ee||delete hr.language}if(Xe){const Yt=[];for(const hr of Ye)for(const $r of hr.words)Yt.push($r);Pr={chunks:Yt}}else Pr={chunks:Ye}}return[ws,Pr]}findLongestCommonSequence($,U=null){let ee=$[0],se=ee.length,Me=[];const $e=Array.isArray(U)&&U.length>0;let Xe=$e?[]:null,Je=$e?U[0]:null;for(let Ye=1;Ye<$.length;++Ye){const Ke=$[Ye];let $t=0,Et=[se,se,0,0];const rr=Ke.length;for(let Pr=1;Pr<se+rr;++Pr){const ws=Math.max(0,se-Pr),Yt=Math.min(se,se+rr-Pr),hr=ee.slice(ws,Yt),$r=Math.max(0,Pr-se),Yr=Math.min(rr,Pr),bs=Ke.slice($r,Yr);if(hr.length!==bs.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let yr;$e?yr=hr.filter((Zt,_r)=>Zt===bs[_r]&&Je[ws+_r]<=U[Ye][$r+_r]).length:yr=hr.filter((Zt,_r)=>Zt===bs[_r]).length;const ls=Pr/1e4,vr=yr/Pr+ls;yr>1&&vr>$t&&($t=vr,Et=[ws,Yt,$r,Yr])}const[br,Jt,sr,Ht]=Et,Hr=Math.floor((Jt+br)/2),is=Math.floor((Ht+sr)/2);Me.push(...ee.slice(0,Hr)),ee=Ke.slice(is),se=ee.length,$e&&(Xe.push(...Je.slice(0,Hr)),Je=U[Ye].slice(is))}return Me.push(...ee),$e?(Xe.push(...Je),[Me,Xe]):[Me,[]]}collateWordTimestamps($,U,ee){const[se,Me,$e]=this.combineTokensIntoWords($,ee),Xe=[];for(let Je=0;Je<se.length;++Je){const Ye=$e[Je];Xe.push({text:se[Je],timestamp:[U[Ye.at(0)][0],U[Ye.at(-1)][1]]})}return Xe}combineTokensIntoWords($,U,ee=`"'“¡¿([{-`,se=`"'.。,，!！?？:：”)]}、`){U=U??"english";let Me,$e,Xe;return["chinese","japanese","thai","lao","myanmar"].includes(U)?[Me,$e,Xe]=this.splitTokensOnUnicode($):[Me,$e,Xe]=this.splitTokensOnSpaces($),this.mergePunctuations(Me,$e,Xe,ee,se)}decode($,U){let ee;return U?.decode_with_timestamps?($ instanceof a.Tensor&&($=y($)),ee=this.decodeWithTimestamps($,U)):ee=super.decode($,U),ee}decodeWithTimestamps($,U){const ee=U?.time_precision??.02,se=Array.from(this.all_special_ids).at(-1)+1;let Me=[[]];for(let $e of $)if($e=Number($e),$e>=se){const Xe=(($e-se)*ee).toFixed(2);Me.push(`<|${Xe}|>`),Me.push([])}else Me[Me.length-1].push($e);return Me=Me.map($e=>typeof $e=="string"?$e:super.decode($e,U)),Me.join("")}splitTokensOnUnicode($){const U=this.decode($,{decode_with_timestamps:!0}),ee="�",se=[],Me=[],$e=[];let Xe=[],Je=[],Ye=0;for(let Ke=0;Ke<$.length;++Ke){const $t=$[Ke];Xe.push($t),Je.push(Ke);const Et=this.decode(Xe,{decode_with_timestamps:!0});(!Et.includes(ee)||U[Ye+Et.indexOf(ee)]===ee)&&(se.push(Et),Me.push(Xe),$e.push(Je),Xe=[],Je=[],Ye+=Et.length)}return[se,Me,$e]}splitTokensOnSpaces($){const[U,ee,se]=this.splitTokensOnUnicode($),Me=[],$e=[],Xe=[],Je=new RegExp(`^[${P}]$`,"gu");for(let Ye=0;Ye<U.length;++Ye){const Ke=U[Ye],$t=ee[Ye],Et=se[Ye],rr=$t[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),br=Ke.startsWith(" "),Jt=Ke.trim(),sr=Je.test(Jt);if(rr||br||sr||Me.length===0)Me.push(Ke),$e.push($t),Xe.push(Et);else{const Ht=Me.length-1;Me[Ht]+=Ke,$e[Ht].push(...$t),Xe[Ht].push(...Et)}}return[Me,$e,Xe]}mergePunctuations($,U,ee,se,Me){const $e=structuredClone($),Xe=structuredClone(U),Je=structuredClone(ee);let Ye=$e.length-2,Ke=$e.length-1;for(;Ye>=0;)$e[Ye].startsWith(" ")&&se.includes($e[Ye].trim())?($e[Ke]=$e[Ye]+$e[Ke],Xe[Ke]=(0,n.mergeArrays)(Xe[Ye],Xe[Ke]),Je[Ke]=(0,n.mergeArrays)(Je[Ye],Je[Ke]),$e[Ye]="",Xe[Ye]=[],Je[Ye]=[]):Ke=Ye,--Ye;for(Ye=0,Ke=1;Ke<$e.length;)!$e[Ye].endsWith(" ")&&Me.includes($e[Ke])?($e[Ye]+=$e[Ke],Xe[Ye]=(0,n.mergeArrays)(Xe[Ye],Xe[Ke]),Je[Ye]=(0,n.mergeArrays)(Je[Ye],Je[Ke]),$e[Ke]="",Xe[Ke]=[],Je[Ke]=[]):Ye=Ke,++Ke;return[$e.filter($t=>$t),Xe.filter($t=>$t.length>0),Je.filter($t=>$t.length>0)]}}class ks extends ft{}class $s extends ft{}class Is extends ft{}class as extends ft{constructor($,U){super($,U),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(ee=>this.languageRegex.test(ee)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text($){if($===null)return null;const[U,...ee]=$.trim().split(this.languageRegex);if(ee.length===0)return super._encode_text(U);if(ee.length===2){const[se,Me]=ee;return this.supported_language_codes.includes(se)||console.warn(`Unsupported language code "${se}" detected, which may lead to unexpected behavior. 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Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(w,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const w=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let v=0,k=0;v<this.data.length;++v)w[k++]=this.data[v],w[k++]=this.data[v],w[k++]=this.data[v],w[k++]=255;break;case 3:for(let v=0,k=0;v<this.data.length;v+=3)w[k++]=this.data[v],w[k++]=this.data[v+1],w[k++]=this.data[v+2],w[k++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(w,this.width,this.height,4)}putAlpha(w){if(w.width!==this.width||w.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${w.width}x${w.height}`);if(w.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${w.channels}`);const v=this.data,k=w.data,T=this.width*this.height;if(this.channels===3){const b=new Uint8ClampedArray(T*4);for(let P=0,x=0,S=0;P<T;++P)b[S++]=v[x++],b[S++]=v[x++],b[S++]=v[x++],b[S++]=k[P];return this._update(b,this.width,this.height,4)}else if(this.channels===4){for(let b=0;b<T;++b)v[4*b+3]=k[b];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(w,v,{resample:k=2}={}){if(this.width===w&&this.height===v)return this;let T=u[k]??k;const b=(0,s.isNullishDimension)(w),P=(0,s.isNullishDimension)(v);if(b&&P)return this;if(b?w=v/this.height*this.width:P&&(v=w/this.width*this.height),d){const x=this.channels,S=this.toCanvas(),O=l(w,v).getContext("2d");return O.drawImage(S,0,0,w,v),new _(O.getImageData(0,0,w,v).data,w,v,4).convert(x)}else{let x=this.toSharp();switch(T){case"box":case"hamming":(T==="box"||T==="hamming")&&(console.warn(`Resampling method ${T} is not yet supported. 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pe=ne,oe=pe+J,K=oe+J,j=K+J,D=b[pe],te=b[pe+1],he=b[oe],Ae=b[oe+1],ke=b[K],Ve=b[K+1],Te=b[j],Q=b[j+1],z=X[le],de=x*X[le+1],be=he*z-Ae*de,ve=he*de+Ae*z,xe=X[2*le],Ce=x*X[2*le+1],ge=ke*xe-Ve*Ce,De=ke*Ce+Ve*xe,fe=X[3*le],Pe=x*X[3*le+1],We=Te*fe-Q*Pe,Fe=Te*Pe+Q*fe,tt=D+ge,Re=te+De,rt=D-ge,Ze=te-De,je=be+We,Oe=ve+Fe,at=x*(be-We),ht=x*(ve-Fe);b[pe]=tt+je,b[pe+1]=Re+Oe,b[oe]=rt+ht,b[oe+1]=Ze-at,b[K]=tt-je,b[K+1]=Re-Oe,b[j]=rt-ht,b[j+1]=Ze+at}}}}_singleTransform2(b,P,x,S,O){const F=b[S],H=b[S+1],W=b[S+O],B=b[S+O+1];P[x]=F+W,P[x+1]=H+B,P[x+2]=F-W,P[x+3]=H-B}_singleTransform4(b,P,x,S,O,F){const H=O*2,W=O*3,B=b[S],Y=b[S+1],X=b[S+O],J=b[S+O+1],re=b[S+H],ne=b[S+H+1],le=b[S+W],pe=b[S+W+1],oe=B+re,K=Y+ne,j=B-re,D=Y-ne,te=X+le,he=J+pe,Ae=F*(X-le),ke=F*(J-pe);P[x]=oe+te,P[x+1]=K+he,P[x+2]=j+ke,P[x+3]=D-Ae,P[x+4]=oe-te,P[x+5]=K-he,P[x+6]=j-ke,P[x+7]=D+Ae}_realTransform4(b,P,x){const S=this._csize;let F=1<<this._width,H=S/F<<1,W,B;const Y=this._bitrev;if(H===4)for(W=0,B=0;W<S;W+=H,++B){const re=Y[B];this._singleRealTransform2(P,b,W,re>>>1,F>>>1)}else for(W=0,B=0;W<S;W+=H,++B){const re=Y[B];this._singleRealTransform4(P,b,W,re>>>1,F>>>1,x)}const X=this.table;for(F>>=2;F>=2;F>>=2){H=S/F<<1;const re=H>>>1,ne=re>>>1,le=ne>>>1;for(W=0;W<S;W+=H)for(let pe=0,oe=0;pe<=le;pe+=2,oe+=F){const K=W+pe,j=K+ne,D=j+ne,te=D+ne,he=b[K],Ae=b[K+1],ke=b[j],Ve=b[j+1],Te=b[D],Q=b[D+1],z=b[te],de=b[te+1],be=he,ve=Ae,xe=X[oe],Ce=x*X[oe+1],ge=ke*xe-Ve*Ce,De=ke*Ce+Ve*xe,fe=X[2*oe],Pe=x*X[2*oe+1],We=Te*fe-Q*Pe,Fe=Te*Pe+Q*fe,tt=X[3*oe],Re=x*X[3*oe+1],rt=z*tt-de*Re,Ze=z*Re+de*tt,je=be+We,Oe=ve+Fe,at=be-We,ht=ve-Fe,Nt=ge+rt,kt=De+Ze,gr=x*(ge-rt),Or=x*(De-Ze);if(b[K]=je+Nt,b[K+1]=Oe+kt,b[j]=at+Or,b[j+1]=ht-gr,pe===0){b[D]=je-Nt,b[D+1]=Oe-kt;continue}if(pe===le)continue;const Bt=W+ne-pe,jr=W+re-pe;b[Bt]=at-x*Or,b[Bt+1]=-ht-x*gr,b[jr]=je-x*Nt,b[jr+1]=-Oe+x*kt}}const J=S>>>1;for(let re=2;re<J;re+=2)b[S-re]=b[re],b[S-re+1]=-b[re+1]}_singleRealTransform2(b,P,x,S,O){const 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jn(e,r,t,s){return new Promise(n=>{const o=ST();r.set(o,n),e.start&&e.start(),e.postMessage(Object.assign({id:o},t),s)})}function ST(){return new Array(4).fill(0).map(()=>Math.floor(Math.random()*Number.MAX_SAFE_INTEGER).toString(16)).join("-")}const fM="onnx-community/functiongemma-270m-it-ONNX";let gM=null;function MM(e){return gM??=(async()=>{console.log("[Worker] Loading model...");const[r,t]=await Promise.all([_T.from_pretrained(fM,{progress_callback:e}),hT.from_pretrained(fM,{dtype:"q4f16",device:"webgpu",progress_callback:e})]);return console.log("[Worker] Model loaded!"),{model:t,tokenizer:r}})(),gM}hc({async initModel(e){console.log("[Worker] initModel called"),await MM(e),console.log("[Worker] initModel completed")},async generate(e,r){console.log("[Worker] ========== GENERATE =========="),console.log("[Worker] Messages:",JSON.stringify(e,null,2));const{model:t,tokenizer:s}=await MM(),n=s.apply_chat_template(e,{tools:r,tokenize:!0,add_generation_prompt:!0,return_dict:!0});console.log("[Worker] Input token count:",n.input_ids.dims[1]);const o=await t.generate({...n,max_new_tokens:512}),i=n.input_ids.dims[1],a=s.decode(o.slice(0,[i,null]),{skip_special_tokens:!1});return console.log("[Worker] Raw output:",a),a}})})();
+`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test($)}}_clean_text($){const U=[];for(const ee of $){const se=ee.charCodeAt(0);se===0||se===65533||this._is_control(ee)||(/^\s$/.test(ee)?U.push(" "):U.push(ee))}return U.join("")}normalize($){return this.config.clean_text&&($=this._clean_text($)),this.config.handle_chinese_chars&&($=this._tokenize_chinese_chars($)),this.config.lowercase?($=$.toLowerCase(),this.config.strip_accents!==!1&&($=this.stripAccents($))):this.config.strip_accents&&($=this.stripAccents($)),$}}class Q extends s.Callable{static fromConfig($){if($===null)return null;switch($.type){case"BertPreTokenizer":return new z($);case"Sequence":return new jr($);case"Whitespace":return new Qs($);case"WhitespaceSplit":return new Xs($);case"Metaspace":return new gr($);case"ByteLevel":return new de($);case"Split":return new be($);case"Punctuation":return new ve($);case"Digits":return new xe($);case"Replace":return new Js($);case"FixedLength":return new ar($);default:throw new Error(`Unknown PreTokenizer type: ${$.type}`)}}pre_tokenize_text($,U){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize($,U){return(Array.isArray($)?$.map(ee=>this.pre_tokenize_text(ee,U)):this.pre_tokenize_text($,U)).flat()}_call($,U){return this.pre_tokenize($,U)}}class z extends Q{constructor($){super(),this.pattern=new RegExp(`[^\\s${P}]+|[${P}]`,"gu")}pre_tokenize_text($,U){return $.trim().match(this.pattern)||[]}}class de extends Q{constructor($){super(),this.config=$,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Y,this.text_encoder=new TextEncoder}pre_tokenize_text($,U){return this.add_prefix_space&&!$.startsWith(" ")&&($=" 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s.Callable{constructor($){super(),this.config=$,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=$.trim_offsets}static fromConfig($){if($===null)return null;switch($.type){case"WordPiece":return new je($);case"Metaspace":return new Or($);case"ByteLevel":return new Oe($);case"Replace":return new tt($);case"ByteFallback":return new Re($);case"Fuse":return new rt($);case"Strip":return new Ze($);case"Sequence":return new ht($);case"CTC":return new at($);case"BPEDecoder":return new Nt($);default:throw new Error(`Unknown Decoder type: ${$.type}`)}}_call($){return this.decode($)}decode($){return this.decode_chain($).join("")}decode_chain($){throw Error("`decode_chain` should be implemented in subclass.")}}class tt extends Fe{decode_chain($){const U=f(this.config.pattern);return U===null?$:$.map(ee=>ee.replaceAll(U,this.config.content))}}class Re extends Fe{constructor($){super($),this.text_decoder=new TextDecoder}decode_chain($){const U=[];let ee=[];for(const se of $){let Me=null;if(se.length===6&&se.startsWith("<0x")&&se.endsWith(">")){const $e=parseInt(se.slice(3,5),16);isNaN($e)||(Me=$e)}if(Me!==null)ee.push(Me);else{if(ee.length>0){const $e=this.text_decoder.decode(Uint8Array.from(ee));U.push($e),ee=[]}U.push(se)}}if(ee.length>0){const se=this.text_decoder.decode(Uint8Array.from(ee));U.push(se),ee=[]}return U}}class rt extends Fe{decode_chain($){return[$.join("")]}}class Ze extends Fe{constructor($){super($),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain($){return $.map(U=>{let ee=0;for(let Me=0;Me<this.start&&U[Me]===this.content;++Me){ee=Me+1;continue}let se=U.length;for(let Me=0;Me<this.stop;++Me){const $e=U.length-Me-1;if(U[$e]===this.content){se=$e;continue}else break}return U.slice(ee,se)})}}class je extends Fe{constructor($){super($),this.cleanup=$.cleanup}decode_chain($){return $.map((U,ee)=>(ee!==0&&(U.startsWith(this.config.prefix)?U=U.replace(this.config.prefix,""):U=" 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this.cleanup&&(se=I(se).replaceAll(this.word_delimiter_token," ").trim()),se}decode_chain($){return[this.convert_tokens_to_string($)]}}class ht extends Fe{constructor($){super($),this.decoders=$.decoders.map(U=>Fe.fromConfig(U))}decode_chain($){return this.decoders.reduce((U,ee)=>ee.decode_chain(U),$)}}class Nt extends Fe{constructor($){super($),this.suffix=this.config.suffix}decode_chain($){return $.map((U,ee)=>U.replaceAll(this.suffix,ee===$.length-1?"":" "))}}class kt extends Fe{decode_chain($){let U="";for(let ee=1;ee<$.length;ee+=2)U+=$[ee];return[U]}}class gr extends Q{constructor($){super(),this.replacement=$.replacement,this.strRep=$.str_rep||this.replacement,this.prepend_scheme=$.prepend_scheme??"always"}pre_tokenize_text($,{section_index:U=void 0}={}){let ee=$.replaceAll(" ",this.strRep);return!ee.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&U===0)&&(ee=this.strRep+ee),[ee]}}class Or extends Fe{constructor($){super($),this.replacement=$.replacement}decode_chain($){const U=[];for(let ee=0;ee<$.length;++ee){let se=$[ee].replaceAll(this.replacement," ");ee==0&&se.startsWith(" ")&&(se=se.substring(1)),U.push(se)}return U}}class Bt extends ne{constructor($){super($),this.charsmap=$.precompiled_charsmap}normalize($){return $=$.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),$=$.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),$.includes("～")?$=$.split("～").map(ee=>ee.normalize("NFKC")).join("～"):$=$.normalize("NFKC"),$}}class jr extends Q{constructor($){super(),this.tokenizers=$.pretokenizers.map(U=>Q.fromConfig(U))}pre_tokenize_text($,U){return this.tokenizers.reduce((ee,se)=>se.pre_tokenize(ee,U),[$])}}class Qs extends Q{constructor($){super()}pre_tokenize_text($,U){return $.match(/\w+|[^\w\s]+/g)||[]}}class Xs extends Q{constructor($){super()}pre_tokenize_text($,U){return b($)}}class Js 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s.Callable{return_token_type_ids=!1;padding_side="right";constructor($,U){super(),this.config=U,this.normalizer=ne.fromConfig($.normalizer),this.pre_tokenizer=Q.fromConfig($.pre_tokenizer),this.model=H.fromConfig($.model,U),this.post_processor=Ce.fromConfig($.post_processor),this.decoder=Fe.fromConfig($.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const ee of $.added_tokens){const se=new F(ee);this.added_tokens.push(se),this.model.tokens_to_ids.set(se.content,se.id),this.model.vocab[se.id]=se.content,se.special&&(this.special_tokens.push(se.content),this.all_special_ids.push(se.id))}if(this.additional_special_tokens=U.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_splitter=new l.DictionarySplitter(this.added_tokens.map(ee=>ee.content)),this.added_tokens_map=new Map(this.added_tokens.map(ee=>[ee.content,ee])),this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=U.model_max_length,this.remove_space=U.remove_space,this.clean_up_tokenization_spaces=U.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=U.do_lowercase_and_remove_accent??!1,U.padding_side&&(this.padding_side=U.padding_side),this.add_bos_token=U.add_bos_token,this.add_eos_token=U.add_eos_token,this.legacy=!1,this.chat_template=U.chat_template??null,Array.isArray(this.chat_template)){const ee=Object.create(null);for(const{name:se,template:Me}of this.chat_template){if(typeof se!="string"||typeof Me!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');ee[se]=Me}this.chat_template=ee}this._compiled_template_cache=new Map}getToken(...$){for(const U of $){const ee=this.config[U];if(ee)if(typeof ee=="object"){if(ee.__type==="AddedToken")return ee.content;throw Error(`Unknown token: ${ee}`)}else return ee}return null}static async from_pretrained($,{progress_callback:U=null,config:ee=null,cache_dir:se=null,local_files_only:Me=!1,revision:$e="main",legacy:Xe=null}={}){const Je=await d($,{progress_callback:U,config:ee,cache_dir:se,local_files_only:Me,revision:$e,legacy:Xe});return new this(...Je)}_call($,{text_pair:U=null,add_special_tokens:ee=!0,padding:se=!1,truncation:Me=null,max_length:$e=null,return_tensor:Xe=!0,return_token_type_ids:Je=null}={}){const Ye=Array.isArray($);let Ke;if(Ye){if($.length===0)throw Error("text array must be non-empty");if(U!==null){if(Array.isArray(U)){if($.length!==U.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");Ke=$.map((Et,rr)=>this._encode_plus(Et,{text_pair:U[rr],add_special_tokens:ee,return_token_type_ids:Je}))}else Ke=$.map(Et=>this._encode_plus(Et,{add_special_tokens:ee,return_token_type_ids:Je}))}else{if($==null)throw Error("text may not be null or undefined");if(Array.isArray(U))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");Ke=[this._encode_plus($,{text_pair:U,add_special_tokens:ee,return_token_type_ids:Je})]}if($e===null?$e=this.model_max_length:Me===null&&(se===!0?(console.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),$e=this.model_max_length):se===!1&&(console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation: true` to explicitly truncate examples to max length."),Me=!0)),se===!0&&($e=Math.min((0,i.max)(Ke.map(Et=>Et.input_ids.length))[0],$e??1/0)),$e=Math.min($e,this.model_max_length??1/0),se||Me)for(let Et=0;Et<Ke.length;++Et)Ke[Et].input_ids.length!==$e&&(Ke[Et].input_ids.length>$e?Me&&Bs(Ke[Et],$e):se&&Jr(Ke[Et],$e,rr=>rr==="input_ids"?this.pad_token_id:0,this.padding_side));const $t={};if(Xe){if(!(se&&Me)&&Ke.some(rr=>{for(const br of Object.keys(rr))if(rr[br].length!==Ke[0][br]?.length)return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");const Et=[Ke.length,Ke[0].input_ids.length];for(const rr of Object.keys(Ke[0]))$t[rr]=new a.Tensor("int64",BigInt64Array.from(Ke.flatMap(br=>br[rr]).map(BigInt)),Et)}else{for(const Et of Object.keys(Ke[0]))$t[Et]=Ke.map(rr=>rr[Et]);if(!Ye)for(const Et of Object.keys($t))$t[Et]=$t[Et][0]}return $t}_encode_text($){if($===null)return null;const U=this.added_tokens_splitter.split($);for(let se=0;se<U.length;++se){const Me=this.added_tokens_map.get(U[se]);Me&&(Me.lstrip&&se>0&&(U[se-1]=U[se-1].trimEnd()),Me.rstrip&&se<U.length-1&&(U[se+1]=U[se+1].trimStart()))}return U.flatMap((se,Me)=>{if(se.length===0)return[];if(this.added_tokens_map.has(se))return[se];if(this.remove_space===!0&&(se=se.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(se=v(se)),this.normalizer!==null&&(se=this.normalizer(se)),se.length===0)return[];const $e=this.pre_tokenizer!==null?this.pre_tokenizer(se,{section_index:Me}):[se];return this.model($e)})}_encode_plus($,{text_pair:U=null,add_special_tokens:ee=!0,return_token_type_ids:se=null}={}){const{tokens:Me,token_type_ids:$e}=this._tokenize_helper($,{pair:U,add_special_tokens:ee}),Xe=this.model.convert_tokens_to_ids(Me),Je={input_ids:Xe,attention_mask:new Array(Xe.length).fill(1)};return(se??this.return_token_type_ids)&&$e&&(Je.token_type_ids=$e),Je}_tokenize_helper($,{pair:U=null,add_special_tokens:ee=!1}={}){const se=this._encode_text($),Me=this._encode_text(U);return this.post_processor?this.post_processor(se,Me,{add_special_tokens:ee}):{tokens:(0,n.mergeArrays)(se??[],Me??[])}}tokenize($,{pair:U=null,add_special_tokens:ee=!1}={}){return this._tokenize_helper($,{pair:U,add_special_tokens:ee}).tokens}encode($,{text_pair:U=null,add_special_tokens:ee=!0,return_token_type_ids:se=null}={}){return this._encode_plus($,{text_pair:U,add_special_tokens:ee,return_token_type_ids:se}).input_ids}batch_decode($,U={}){return $ instanceof a.Tensor&&($=$.tolist()),$.map(ee=>this.decode(ee,U))}decode($,U={}){if($ instanceof a.Tensor&&($=y($)),!Array.isArray($)||$.length===0||!(0,n.isIntegralNumber)($[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single($,U)}decode_single($,{skip_special_tokens:U=!1,clean_up_tokenization_spaces:ee=null}){let se=this.model.convert_ids_to_tokens($);U&&(se=se.filter($e=>!this.special_tokens.includes($e)));let Me=this.decoder?this.decoder(se):se.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Me=Me.replaceAll(this.decoder.end_of_word_suffix," "),U&&(Me=Me.trim())),(ee??this.clean_up_tokenization_spaces)&&(Me=I(Me)),Me}get_chat_template({chat_template:$=null,tools:U=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const ee=this.chat_template;if($!==null&&Object.hasOwn(ee,$))$=ee[$];else if($===null)if(U!==null&&"tool_use"in ee)$=ee.tool_use;else if("default"in ee)$=ee.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(ee).sort()}.`)}else if($===null)if(this.chat_template)$=this.chat_template;else throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating");return $}apply_chat_template($,{tools:U=null,documents:ee=null,chat_template:se=null,add_generation_prompt:Me=!1,tokenize:$e=!0,padding:Xe=!1,truncation:Je=!1,max_length:Ye=null,return_tensor:Ke=!0,return_dict:$t=!1,tokenizer_kwargs:Et={},...rr}={}){if(se=this.get_chat_template({chat_template:se,tools:U}),typeof se!="string")throw Error(`chat_template must be a string, but got ${typeof se}`);let br=this._compiled_template_cache.get(se);br===void 0&&(br=new c.Template(se),this._compiled_template_cache.set(se,br));const Jt=Object.create(null);for(const Ht of kr){const Hr=this.getToken(Ht);Hr&&(Jt[Ht]=Hr)}const sr=br.render({messages:$,add_generation_prompt:Me,tools:U,documents:ee,...Jt,...rr});if($e){const Ht=this._call(sr,{add_special_tokens:!1,padding:Xe,truncation:Je,max_length:Ye,return_tensor:Ke,...Et});return $t?Ht:Ht.input_ids}return sr}}class qt extends ft{return_token_type_ids=!0}class Ts extends ft{return_token_type_ids=!0}class Ps extends ft{return_token_type_ids=!0}class Gr extends ft{return_token_type_ids=!0}class yt extends ft{return_token_type_ids=!0}class Es extends ft{return_token_type_ids=!0}class C extends ft{return_token_type_ids=!0}class q extends ft{return_token_type_ids=!0}class R extends ft{return_token_type_ids=!0}class G extends ft{}class Z extends ft{}class ce extends ft{return_token_type_ids=!0;constructor($,U){super($,U),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class ye extends ft{return_token_type_ids=!0}class et extends ft{}class ut extends ft{}class He extends ft{}class Mt extends ft{constructor($,U){super($,U),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(ee=>this.languageRegex.test(ee)),this.lang_to_token=ee=>ee}_build_translation_inputs($,U,ee){return lr(this,$,U,ee)}}class qe extends Mt{}class Pt extends ft{}class It extends ft{}const Mr="▁";class pr extends ft{padding_side="left";constructor($,U){super($,U),this.legacy=U.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new gr({replacement:Mr,prepend_scheme:"first"}))}_encode_text($){if($===null)return null;if(this.legacy||$.length===0)return super._encode_text($);let U=super._encode_text(Mr+$.replaceAll(Mr," "));return U.length>1&&U[0]===Mr&&this.special_tokens.includes(U[1])&&(U=U.slice(1)),U}}class ir extends ft{}class Tr extends ft{}class Cs extends ft{}class Dr extends ft{}class Ss extends ft{}class Lr extends ft{}class zr extends ft{}class ns extends ft{}class wr extends ft{}function lr(ue,$,U,ee){if(!("language_codes"in ue)||!Array.isArray(ue.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in ue)||!(ue.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in ue)||typeof ue.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const se=ee.src_lang,Me=ee.tgt_lang;if(!ue.language_codes.includes(Me))throw new Error(`Target language code "${Me}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);if(se!==void 0){if(!ue.language_codes.includes(se))throw new Error(`Source language code "${se}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);for(const $e of ue.post_processor.config.single)if("SpecialToken"in $e&&ue.languageRegex.test($e.SpecialToken.id)){$e.SpecialToken.id=ue.lang_to_token(se);break}}return ee.forced_bos_token_id=ue.model.convert_tokens_to_ids([ue.lang_to_token(Me)])[0],ue._call($,U)}class Kr extends ft{constructor($,U){super($,U),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(ee=>this.languageRegex.test(ee)),this.lang_to_token=ee=>ee}_build_translation_inputs($,U,ee){return lr(this,$,U,ee)}}class os extends ft{constructor($,U){super($,U),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(ee=>this.languageRegex.test(ee)).map(ee=>ee.slice(2,-2)),this.lang_to_token=ee=>`__${ee}__`}_build_translation_inputs($,U,ee){return lr(this,$,U,ee)}}class Rs extends ft{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr($,{return_timestamps:U=!1,return_language:ee=!1,time_precision:se=null,force_full_sequences:Me=!0}={}){if(se===null)throw Error("Must specify time_precision");let $e=null;const Xe=U==="word";function Je(){return{language:$e,timestamp:[null,null],text:""}}const Ye=[];let Ke=Je(),$t=0;const Et=this.timestamp_begin,br=Et+1500;let Jt=[],sr=[],Ht=!1,Hr=null;const is=new Set(this.all_special_ids);for(const Yt of $){const hr=Yt.tokens,$r=Xe?Yt.token_timestamps:null;let Yr=null,bs=Et;if("stride"in Yt){const[vr,Zt,_r]=Yt.stride;if($t-=Zt,Hr=vr-_r,Zt&&(bs=Zt/se+Et),_r)for(let cr=hr.length-1;cr>=0;--cr){const Ur=Number(hr[cr]);if(Ur>=Et){if(Yr!==null&&(Ur-Et)*se<Hr)break;Yr=Ur}}}let yr=[],ls=[];for(let vr=0;vr<hr.length;++vr){const Zt=Number(hr[vr]);if(is.has(Zt)){const _r=this.decode([Zt]),cr=p.WHISPER_LANGUAGE_MAPPING.get(_r.slice(2,-2));if(cr!==void 0){if($e!==null&&cr!==$e&&!U){Jt.push(yr);const Ur=this.findLongestCommonSequence(Jt)[0],Ys=this.decode(Ur);Ke.text=Ys,Ye.push(Ke),Jt=[],yr=[],Ke=Je()}$e=Ke.language=cr}}else if(Zt>=Et&&Zt<=br){const _r=(Zt-Et)*se+$t,cr=(0,i.round)(_r,2);if(Yr!==null&&Zt>=Yr)Ht=!0;else if(Ht||Jt.length>0&&Zt<bs)Ht=!1;else if(Ke.timestamp[0]===null)Ke.timestamp[0]=cr;else if(cr!==Ke.timestamp[0]){Ke.timestamp[1]=cr,Jt.push(yr),Xe&&sr.push(ls);const[Ur,Ys]=this.findLongestCommonSequence(Jt,sr),Fs=this.decode(Ur);Ke.text=Fs,Xe&&(Ke.words=this.collateWordTimestamps(Ur,Ys,$e)),Ye.push(Ke),Jt=[],yr=[],sr=[],ls=[],Ke=Je()}}else if(yr.push(Zt),Xe){let _r=(0,i.round)($r[vr]+$t,2),cr;if(vr+1<$r.length){cr=(0,i.round)($r[vr+1]+$t,2);const Ur=this.decode([Zt]);x.test(Ur)&&(cr=(0,i.round)(Math.min(_r+se,cr),2))}else cr=null;ls.push([_r,cr])}}if("stride"in Yt){const[vr,Zt,_r]=Yt.stride;$t+=vr-_r}yr.length>0?(Jt.push(yr),Xe&&sr.push(ls)):Jt.every(vr=>vr.length===0)&&(Ke=Je(),Jt=[],yr=[],sr=[],ls=[])}if(Jt.length>0){if(Me&&U)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[Yt,hr]=this.findLongestCommonSequence(Jt,sr),$r=this.decode(Yt);Ke.text=$r,Xe&&(Ke.words=this.collateWordTimestamps(Yt,hr,$e)),Ye.push(Ke)}let Pr=Object.create(null);const ws=Ye.map(Yt=>Yt.text).join("");if(U||ee){for(let Yt=0;Yt<Ye.length;++Yt){const hr=Ye[Yt];U||delete hr.timestamp,ee||delete hr.language}if(Xe){const Yt=[];for(const hr of Ye)for(const $r of hr.words)Yt.push($r);Pr={chunks:Yt}}else Pr={chunks:Ye}}return[ws,Pr]}findLongestCommonSequence($,U=null){let ee=$[0],se=ee.length,Me=[];const $e=Array.isArray(U)&&U.length>0;let Xe=$e?[]:null,Je=$e?U[0]:null;for(let Ye=1;Ye<$.length;++Ye){const Ke=$[Ye];let $t=0,Et=[se,se,0,0];const rr=Ke.length;for(let Pr=1;Pr<se+rr;++Pr){const ws=Math.max(0,se-Pr),Yt=Math.min(se,se+rr-Pr),hr=ee.slice(ws,Yt),$r=Math.max(0,Pr-se),Yr=Math.min(rr,Pr),bs=Ke.slice($r,Yr);if(hr.length!==bs.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let yr;$e?yr=hr.filter((Zt,_r)=>Zt===bs[_r]&&Je[ws+_r]<=U[Ye][$r+_r]).length:yr=hr.filter((Zt,_r)=>Zt===bs[_r]).length;const ls=Pr/1e4,vr=yr/Pr+ls;yr>1&&vr>$t&&($t=vr,Et=[ws,Yt,$r,Yr])}const[br,Jt,sr,Ht]=Et,Hr=Math.floor((Jt+br)/2),is=Math.floor((Ht+sr)/2);Me.push(...ee.slice(0,Hr)),ee=Ke.slice(is),se=ee.length,$e&&(Xe.push(...Je.slice(0,Hr)),Je=U[Ye].slice(is))}return Me.push(...ee),$e?(Xe.push(...Je),[Me,Xe]):[Me,[]]}collateWordTimestamps($,U,ee){const[se,Me,$e]=this.combineTokensIntoWords($,ee),Xe=[];for(let Je=0;Je<se.length;++Je){const Ye=$e[Je];Xe.push({text:se[Je],timestamp:[U[Ye.at(0)][0],U[Ye.at(-1)][1]]})}return Xe}combineTokensIntoWords($,U,ee=`"'“¡¿([{-`,se=`"'.。,，!！?？:：”)]}、`){U=U??"english";let Me,$e,Xe;return["chinese","japanese","thai","lao","myanmar"].includes(U)?[Me,$e,Xe]=this.splitTokensOnUnicode($):[Me,$e,Xe]=this.splitTokensOnSpaces($),this.mergePunctuations(Me,$e,Xe,ee,se)}decode($,U){let ee;return U?.decode_with_timestamps?($ instanceof a.Tensor&&($=y($)),ee=this.decodeWithTimestamps($,U)):ee=super.decode($,U),ee}decodeWithTimestamps($,U){const ee=U?.time_precision??.02,se=Array.from(this.all_special_ids).at(-1)+1;let Me=[[]];for(let $e of $)if($e=Number($e),$e>=se){const Xe=(($e-se)*ee).toFixed(2);Me.push(`<|${Xe}|>`),Me.push([])}else Me[Me.length-1].push($e);return Me=Me.map($e=>typeof $e=="string"?$e:super.decode($e,U)),Me.join("")}splitTokensOnUnicode($){const U=this.decode($,{decode_with_timestamps:!0}),ee="�",se=[],Me=[],$e=[];let Xe=[],Je=[],Ye=0;for(let Ke=0;Ke<$.length;++Ke){const $t=$[Ke];Xe.push($t),Je.push(Ke);const Et=this.decode(Xe,{decode_with_timestamps:!0});(!Et.includes(ee)||U[Ye+Et.indexOf(ee)]===ee)&&(se.push(Et),Me.push(Xe),$e.push(Je),Xe=[],Je=[],Ye+=Et.length)}return[se,Me,$e]}splitTokensOnSpaces($){const[U,ee,se]=this.splitTokensOnUnicode($),Me=[],$e=[],Xe=[],Je=new RegExp(`^[${P}]$`,"gu");for(let Ye=0;Ye<U.length;++Ye){const Ke=U[Ye],$t=ee[Ye],Et=se[Ye],rr=$t[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),br=Ke.startsWith(" "),Jt=Ke.trim(),sr=Je.test(Jt);if(rr||br||sr||Me.length===0)Me.push(Ke),$e.push($t),Xe.push(Et);else{const Ht=Me.length-1;Me[Ht]+=Ke,$e[Ht].push(...$t),Xe[Ht].push(...Et)}}return[Me,$e,Xe]}mergePunctuations($,U,ee,se,Me){const $e=structuredClone($),Xe=structuredClone(U),Je=structuredClone(ee);let Ye=$e.length-2,Ke=$e.length-1;for(;Ye>=0;)$e[Ye].startsWith(" ")&&se.includes($e[Ye].trim())?($e[Ke]=$e[Ye]+$e[Ke],Xe[Ke]=(0,n.mergeArrays)(Xe[Ye],Xe[Ke]),Je[Ke]=(0,n.mergeArrays)(Je[Ye],Je[Ke]),$e[Ye]="",Xe[Ye]=[],Je[Ye]=[]):Ke=Ye,--Ye;for(Ye=0,Ke=1;Ke<$e.length;)!$e[Ye].endsWith(" ")&&Me.includes($e[Ke])?($e[Ye]+=$e[Ke],Xe[Ye]=(0,n.mergeArrays)(Xe[Ye],Xe[Ke]),Je[Ye]=(0,n.mergeArrays)(Je[Ye],Je[Ke]),$e[Ke]="",Xe[Ke]=[],Je[Ke]=[]):Ye=Ke,++Ke;return[$e.filter($t=>$t),Xe.filter($t=>$t.length>0),Je.filter($t=>$t.length>0)]}}class ks extends ft{}class $s extends ft{}class Is extends ft{}class as extends ft{constructor($,U){super($,U),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(ee=>this.languageRegex.test(ee)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text($){if($===null)return null;const[U,...ee]=$.trim().split(this.languageRegex);if(ee.length===0)return super._encode_text(U);if(ee.length===2){const[se,Me]=ee;return this.supported_language_codes.includes(se)||console.warn(`Unsupported language code "${se}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,n.mergeArrays)([se],super._encode_text(Me))}}}class Nr extends ft{}class ze extends ft{}class Ue extends ft{}class nt extends ft{}class Kt extends ft{}class js extends ft{constructor($,U){super($,U),this.decoder=new kt({})}}class As extends ft{}class Ns extends ft{}class Nn{static TOKENIZER_CLASS_MAPPING={T5Tokenizer:et,DistilBertTokenizer:G,CamembertTokenizer:Z,DebertaTokenizer:yt,DebertaV2Tokenizer:Es,BertTokenizer:qt,HerbertTokenizer:C,ConvBertTokenizer:q,RoFormerTokenizer:R,XLMTokenizer:ce,ElectraTokenizer:ye,MobileBertTokenizer:Ps,SqueezeBertTokenizer:Gr,AlbertTokenizer:Ts,GPT2Tokenizer:ut,BartTokenizer:He,MBartTokenizer:Mt,MBart50Tokenizer:qe,RobertaTokenizer:Pt,WhisperTokenizer:Rs,CodeGenTokenizer:ks,CLIPTokenizer:$s,SiglipTokenizer:Is,MarianTokenizer:as,BloomTokenizer:It,NllbTokenizer:Kr,M2M100Tokenizer:os,LlamaTokenizer:pr,CodeLlamaTokenizer:ir,XLMRobertaTokenizer:Tr,MPNetTokenizer:Cs,FalconTokenizer:Dr,GPTNeoXTokenizer:Ss,EsmTokenizer:Lr,Wav2Vec2CTCTokenizer:Nr,BlenderbotTokenizer:ze,BlenderbotSmallTokenizer:Ue,SpeechT5Tokenizer:nt,NougatTokenizer:Kt,VitsTokenizer:js,Qwen2Tokenizer:zr,GemmaTokenizer:ns,Grok1Tokenizer:wr,CohereTokenizer:As,MgpstrTokenizer:Ns,PreTrainedTokenizer:ft};static async from_pretrained($,{progress_callback:U=null,config:ee=null,cache_dir:se=null,local_files_only:Me=!1,revision:$e="main",legacy:Xe=null}={}){const[Je,Ye]=await d($,{progress_callback:U,config:ee,cache_dir:se,local_files_only:Me,revision:$e,legacy:Xe}),Ke=Ye.tokenizer_class?.replace(/Fast$/,"")??"PreTrainedTokenizer";let $t=this.TOKENIZER_CLASS_MAPPING[Ke];return $t||(console.warn(`Unknown tokenizer class "${Ke}", attempting to construct from base class.`),$t=ft),new $t(Je,Ye)}}}),"./src/utils/audio.js":((e,r,t)=>{t.r(r),t.d(r,{RawAudio:()=>W,hamming:()=>u,hanning:()=>d,mel_filter_bank:()=>k,read_audio:()=>c,spectrogram:()=>S,window_function:()=>O});var s=t("./src/utils/hub.js"),n=t("./src/utils/maths.js"),o=t("./src/utils/core.js"),i=t("./src/env.js"),a=t("./src/utils/tensor.js"),l=t("?7992");async function c(B,Y){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. 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