diff --git a/assets/CardDetailDialog-0JP7S-1I.js b/assets/CardDetailDialog-0JP7S-1I.js
new file mode 100644
index 0000000000000000000000000000000000000000..2693b8c4237fb90dddadc890b76cc5095c178d54
--- /dev/null
+++ b/assets/CardDetailDialog-0JP7S-1I.js
@@ -0,0 +1 @@
+import{_ as o}from"./CardDetailDialog.vue_vue_type_script_setup_true_lang-DwW72nHQ.js";import"./DeleteCardDialog.vue_vue_type_script_setup_true_lang-C1JwBLjv.js";import"./index-CL4rmUJ-.js";import"./index-CDeQ6Zfm.js";import"./live2d-zip-loader-DFrBymqv.js";import"./airi-card-CWMQJScT.js";import"./consciousness-nHboP4iV.js";import"./providers-BHCrT0RZ.js";import"./speech-Ae5ywnpY.js";export{o as default};
diff --git a/assets/CardDetailDialog-CTkvDi54.js b/assets/CardDetailDialog-CTkvDi54.js
deleted file mode 100644
index 0784777f898ea3dd1640c14add22bb8bc2d3ee9a..0000000000000000000000000000000000000000
--- a/assets/CardDetailDialog-CTkvDi54.js
+++ /dev/null
@@ -1 +0,0 @@
-import{_ as o}from"./CardDetailDialog.vue_vue_type_script_setup_true_lang-CGAEfOuB.js";import"./DeleteCardDialog.vue_vue_type_script_setup_true_lang-_ktQBMkP.js";import"./index-BYewP6KR.js";import"./index-C4TaASqf.js";import"./live2d-zip-loader-CvpgOHsT.js";import"./airi-card-BM-9G8yH.js";import"./consciousness-MUz60a06.js";import"./providers-CFIOZO6n.js";import"./speech-CLmksxkl.js";export{o as default};
diff --git a/assets/CardDetailDialog.vue_vue_type_script_setup_true_lang-CGAEfOuB.js b/assets/CardDetailDialog.vue_vue_type_script_setup_true_lang-DwW72nHQ.js
similarity index 96%
rename from assets/CardDetailDialog.vue_vue_type_script_setup_true_lang-CGAEfOuB.js
rename to assets/CardDetailDialog.vue_vue_type_script_setup_true_lang-DwW72nHQ.js
index 99964eccf60148f8571156992c09d421ce61d984..5c51fddbc14c584f2080e694b85ff0548975dad4 100644
--- a/assets/CardDetailDialog.vue_vue_type_script_setup_true_lang-CGAEfOuB.js
+++ b/assets/CardDetailDialog.vue_vue_type_script_setup_true_lang-DwW72nHQ.js
@@ -1 +1 @@
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+import{a as O,_ as q}from"./DeleteCardDialog.vue_vue_type_script_setup_true_lang-C1JwBLjv.js";import"./live2d-zip-loader-DFrBymqv.js";import{d as E,q as U,s as F,h as x,g as L,c as n,o,bx as f,b as m,e as l,y as k,a as e,C as v,bH as u,D as i,z as $,by as j}from"./index-CL4rmUJ-.js";import{u as R}from"./airi-card-CWMQJScT.js";import{n as G,I as J,$ as K,P as Q,B as W}from"./index-CDeQ6Zfm.js";const X={key:0,class:"w-full flex flex-col gap-5"},Y={flex:"~ col","gap-3":""},Z={flex:"~ row","items-center":"","justify-between":""},ee={flex:"~ row","items-center":"","gap-2":""},te={key:0,class:"bg-primary-100 text-primary-600 dark:bg-primary-900/40 dark:text-primary-400 flex items-center gap-1 rounded-full px-2 py-0.5 text-xs font-medium"},ae={"mt-1":"","text-sm":"","text-neutral-500":"","dark:text-neutral-400":""},re={"font-medium":""},se={flex:"~ row","gap-2":""},le={class:"mt-4"},ne={class:"border-b border-neutral-200 dark:border-neutral-700"},oe={class:"flex justify-center -mb-px 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diff --git a/assets/CardListItem-Yj5o7xqu.js b/assets/CardListItem-DjCvxPQ0.js
similarity index 51%
rename from assets/CardListItem-Yj5o7xqu.js
rename to assets/CardListItem-DjCvxPQ0.js
index b8731c0e486e9617762b068262d1af606c8eead8..20cf2796776244c84d40ba14f2ef42d60d7fb3a2 100644
--- a/assets/CardListItem-Yj5o7xqu.js
+++ b/assets/CardListItem-DjCvxPQ0.js
@@ -1 +1 @@
-import{_ as m}from"./CardListItem.vue_vue_type_script_setup_true_lang-BD31oKXO.js";import"./index-BYewP6KR.js";export{m as default};
+import{_ as m}from"./CardListItem.vue_vue_type_script_setup_true_lang-D1pbLBEG.js";import"./index-CL4rmUJ-.js";export{m as default};
diff --git a/assets/CardListItem.vue_vue_type_script_setup_true_lang-BD31oKXO.js b/assets/CardListItem.vue_vue_type_script_setup_true_lang-D1pbLBEG.js
similarity index 98%
rename from assets/CardListItem.vue_vue_type_script_setup_true_lang-BD31oKXO.js
rename to assets/CardListItem.vue_vue_type_script_setup_true_lang-D1pbLBEG.js
index 90b1bd8ddd1c1b7c60bf30b727c28c8cc8a3e870..6429b673bc9bcfcb7ccca207ea2dabd58e81b6a5 100644
--- a/assets/CardListItem.vue_vue_type_script_setup_true_lang-BD31oKXO.js
+++ b/assets/CardListItem.vue_vue_type_script_setup_true_lang-D1pbLBEG.js
@@ -1 +1 @@
-import{d as p,c as n,o as a,a as e,C as l,D as i,bJ as s,z as u}from"./index-BYewP6KR.js";const c={relative:"",flex:"~ col 1","justify-between":"","gap-3":"","overflow-hidden":"","rounded-lg":"",bg:"white dark:neutral-900","p-5":"",transition:"all ease-in-out duration-400",after:"content-empty absolute inset-0 z--2 w-full h-full bg-dotted-[neutral-200/80] bg-size-10px mask-image-[linear-gradient(165deg,white_30%,transparent_50%)] transition-all duration-400 ease-in-out",hover:"after:bg-dotted-[primary-300/50] dark:after:bg-dotted-[primary-200/20]"},b={"z-1":"",flex:"","items-start":"","justify-between":"","gap-2":""},v={"flex-1":"",truncate:"","text-lg":"","font-bold":"",hover:"text-primary-600 dark:text-primary-300"},x={key:0,"shrink-0":"","rounded-md":"","p-1":"",bg:"primary-100 dark:primary-900/40",text:"primary-600 dark:primary-400"},f={key:0,"line-clamp-3":"","min-h-40px":"","flex-1":"","text-sm":"",text:"neutral-500 dark:neutral-400",hover:"text-primary-600/80 dark:text-primary-300/80"},y={"z-1":"",flex:"","items-center":"","justify-between":"","text-xs":"",text:"neutral-500 dark:neutral-400"},k={flex:"","items-center":"","gap-1.5":""},g={flex:"","items-center":"","gap-0.5":""},h={flex:"","items-center":"","gap-0.5":""},w={flex:"","items-center":"","justify-end":"","px-2":"","py-1.5":""},C=["disabled"],M=p({__name:"CardListItem",props:{id:null,name:null,description:null,isActive:{type:Boolean},isSelected:{type:Boolean},version:null,consciousnessModel:null,voiceModel:null},emits:["select","activate","delete"],setup(r,{emit:m}){const o=m;return(z,t)=>(a(),n("div",{relative:"","min-h-120px":"",flex:"~ col","cursor-pointer":"","overflow-hidden":"","rounded-xl":"",class:u([r.isSelected?"border-2 border-primary-400 dark:border-primary-600":"border-2 border-neutral-100 dark:border-neutral-800/25"]),bg:"neutral-200/50 dark:neutral-800/50","drop-shadow":"none hover:[0px_4px_4px_rgba(220,220,220,0.4)] active:[0px_0px_0px_rgba(220,220,220,0.25)] dark:hover:none",transition:"all ease-in-out duration-400",before:"content-empty absolute inset-0 z-0 w-25% h-full transition-all duration-400 ease-in-out bg-gradient-to-r from-primary-500/0 to-primary-500/0 dark:from-primary-400/0 dark:to-primary-400/0 mask-image-[linear-gradient(120deg,white_100%)] opacity-0",hover:"before:w-50% before:opacity-100 before:bg-gradient-to-r before:from-primary-500/20 before:via-primary-500/10 before:to-transparent before:dark:from-primary-400/20 before:dark:via-primary-400/10 before:dark:to-transparent",onClick:t[2]||(t[2]=d=>o("select"))},[e("div",c,[e("div",b,[e("h3",v,i(r.name),1),r.isActive?(a(),n("div",x,t[3]||(t[3]=[e("div",{"i-solar:check-circle-bold-duotone":"","text-sm":""},null,-1)]))):l("",!0)]),r.description?(a(),n("p",f,i(r.description),1)):l("",!0),e("div",y,[e("div",null,"v"+i(r.version),1),e("div",k,[e("div",g,[t[4]||(t[4]=e("div",{"i-lucide:ghost":"","text-xs":""},null,-1)),e("span",null,i(r.consciousnessModel),1)]),e("div",h,[t[5]||(t[5]=e("div",{"i-lucide:mic":"","text-xs":""},null,-1)),e("span",null,i(r.voiceModel),1)])])])]),e("div",w,[e("button",{"rounded-lg":"","p-1.5":"","transition-colors":"",hover:"bg-neutral-200 dark:bg-neutral-700/50",disabled:r.isActive,onClick:t[0]||(t[0]=s(d=>o("activate"),["stop"]))},[e("div",{class:u([r.isActive?"i-solar:check-circle-bold-duotone text-primary-500 dark:text-primary-400":"i-solar:play-circle-broken text-neutral-500 dark:text-neutral-400"])},null,2)],8,C),r.id!=="default"?(a(),n("button",{key:0,"rounded-lg":"","p-1.5":"","transition-colors":"",hover:"bg-neutral-200 dark:bg-neutral-700/50",onClick:t[1]||(t[1]=s(d=>o("delete"),["stop"]))},t[6]||(t[6]=[e("div",{"i-solar:trash-bin-trash-linear":"",text:"neutral-500 dark:neutral-400"},null,-1)]))):l("",!0)])],2))}});export{M as _};
+import{d as p,c as n,o as a,a as e,C as l,D as i,bJ as s,z as u}from"./index-CL4rmUJ-.js";const c={relative:"",flex:"~ col 1","justify-between":"","gap-3":"","overflow-hidden":"","rounded-lg":"",bg:"white dark:neutral-900","p-5":"",transition:"all ease-in-out duration-400",after:"content-empty absolute inset-0 z--2 w-full h-full bg-dotted-[neutral-200/80] bg-size-10px mask-image-[linear-gradient(165deg,white_30%,transparent_50%)] transition-all duration-400 ease-in-out",hover:"after:bg-dotted-[primary-300/50] dark:after:bg-dotted-[primary-200/20]"},b={"z-1":"",flex:"","items-start":"","justify-between":"","gap-2":""},v={"flex-1":"",truncate:"","text-lg":"","font-bold":"",hover:"text-primary-600 dark:text-primary-300"},x={key:0,"shrink-0":"","rounded-md":"","p-1":"",bg:"primary-100 dark:primary-900/40",text:"primary-600 dark:primary-400"},f={key:0,"line-clamp-3":"","min-h-40px":"","flex-1":"","text-sm":"",text:"neutral-500 dark:neutral-400",hover:"text-primary-600/80 dark:text-primary-300/80"},y={"z-1":"",flex:"","items-center":"","justify-between":"","text-xs":"",text:"neutral-500 dark:neutral-400"},k={flex:"","items-center":"","gap-1.5":""},g={flex:"","items-center":"","gap-0.5":""},h={flex:"","items-center":"","gap-0.5":""},w={flex:"","items-center":"","justify-end":"","px-2":"","py-1.5":""},C=["disabled"],M=p({__name:"CardListItem",props:{id:null,name:null,description:null,isActive:{type:Boolean},isSelected:{type:Boolean},version:null,consciousnessModel:null,voiceModel:null},emits:["select","activate","delete"],setup(r,{emit:m}){const o=m;return(z,t)=>(a(),n("div",{relative:"","min-h-120px":"",flex:"~ col","cursor-pointer":"","overflow-hidden":"","rounded-xl":"",class:u([r.isSelected?"border-2 border-primary-400 dark:border-primary-600":"border-2 border-neutral-100 dark:border-neutral-800/25"]),bg:"neutral-200/50 dark:neutral-800/50","drop-shadow":"none hover:[0px_4px_4px_rgba(220,220,220,0.4)] active:[0px_0px_0px_rgba(220,220,220,0.25)] dark:hover:none",transition:"all ease-in-out duration-400",before:"content-empty absolute inset-0 z-0 w-25% h-full transition-all duration-400 ease-in-out bg-gradient-to-r from-primary-500/0 to-primary-500/0 dark:from-primary-400/0 dark:to-primary-400/0 mask-image-[linear-gradient(120deg,white_100%)] opacity-0",hover:"before:w-50% before:opacity-100 before:bg-gradient-to-r before:from-primary-500/20 before:via-primary-500/10 before:to-transparent before:dark:from-primary-400/20 before:dark:via-primary-400/10 before:dark:to-transparent",onClick:t[2]||(t[2]=d=>o("select"))},[e("div",c,[e("div",b,[e("h3",v,i(r.name),1),r.isActive?(a(),n("div",x,t[3]||(t[3]=[e("div",{"i-solar:check-circle-bold-duotone":"","text-sm":""},null,-1)]))):l("",!0)]),r.description?(a(),n("p",f,i(r.description),1)):l("",!0),e("div",y,[e("div",null,"v"+i(r.version),1),e("div",k,[e("div",g,[t[4]||(t[4]=e("div",{"i-lucide:ghost":"","text-xs":""},null,-1)),e("span",null,i(r.consciousnessModel),1)]),e("div",h,[t[5]||(t[5]=e("div",{"i-lucide:mic":"","text-xs":""},null,-1)),e("span",null,i(r.voiceModel),1)])])])]),e("div",w,[e("button",{"rounded-lg":"","p-1.5":"","transition-colors":"",hover:"bg-neutral-200 dark:bg-neutral-700/50",disabled:r.isActive,onClick:t[0]||(t[0]=s(d=>o("activate"),["stop"]))},[e("div",{class:u([r.isActive?"i-solar:check-circle-bold-duotone text-primary-500 dark:text-primary-400":"i-solar:play-circle-broken text-neutral-500 dark:text-neutral-400"])},null,2)],8,C),r.id!=="default"?(a(),n("button",{key:0,"rounded-lg":"","p-1.5":"","transition-colors":"",hover:"bg-neutral-200 dark:bg-neutral-700/50",onClick:t[1]||(t[1]=s(d=>o("delete"),["stop"]))},t[6]||(t[6]=[e("div",{"i-solar:trash-bin-trash-linear":"",text:"neutral-500 dark:neutral-400"},null,-1)]))):l("",!0)])],2))}});export{M as _};
diff --git a/assets/Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js b/assets/Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js
similarity index 87%
rename from assets/Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js
rename to assets/Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js
index 7789e325820b502f53299691a1e047cb0cbc3852..4f74c6f1a3ec07dfb30b57099ed221a3a6d81b85 100644
--- a/assets/Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js
+++ b/assets/Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js
@@ -1 +1 @@
-import{_ as d}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import{d as p,bK as m,bL as f,af as b,c,o as v,m as r,b as V,bT as u,bU as y,y as C,C as g,bV as k,a as s,bH as x,D as i}from"./index-BYewP6KR.js";const B={op50:""},w=p({__name:"Collapsable",props:m({default:{type:Boolean},label:null},{modelValue:{type:Boolean,default:!1},modelModifiers:{}}),emits:["update:modelValue"],setup(o){const t=o,e=f(o,"modelValue");b(()=>{t.default!=null&&(e.value=!!t.default)});function n(l){return e.value=l,l}return(l,a)=>(v(),c("div",null,[r(l.$slots,"trigger",u(y({visible:e.value,setVisible:n})),()=>[s("button",{sticky:"","top-0":"","z-10":"",flex:"","items-center":"","justify-between":"",px2:"",py1:"","text-sm":"","backdrop-blur-xl":"",onClick:a[0]||(a[0]=_=>e.value=!e.value)},[s("span",null,i(t.label??"Collapsable"),1),a[1]||(a[1]=x()),s("span",B,i(e.value?"▲":"▼"),1)])]),V(d,null,{default:C(()=>[e.value?r(l.$slots,"default",u(k({key:0},{visible:e.value,setVisible:n}))):g("",!0)]),_:3})]))}});export{w as _};
+import{_ as d}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import{d as p,bK as m,bL as f,af as b,c,o as v,m as r,b as V,bT as u,bU as y,y as C,C as g,bV as k,a as s,bH as x,D as i}from"./index-CL4rmUJ-.js";const B={op50:""},w=p({__name:"Collapsable",props:m({default:{type:Boolean},label:null},{modelValue:{type:Boolean,default:!1},modelModifiers:{}}),emits:["update:modelValue"],setup(o){const t=o,e=f(o,"modelValue");b(()=>{t.default!=null&&(e.value=!!t.default)});function n(l){return e.value=l,l}return(l,a)=>(v(),c("div",null,[r(l.$slots,"trigger",u(y({visible:e.value,setVisible:n})),()=>[s("button",{sticky:"","top-0":"","z-10":"",flex:"","items-center":"","justify-between":"",px2:"",py1:"","text-sm":"","backdrop-blur-xl":"",onClick:a[0]||(a[0]=_=>e.value=!e.value)},[s("span",null,i(t.label??"Collapsable"),1),a[1]||(a[1]=x()),s("span",B,i(e.value?"▲":"▼"),1)])]),V(d,null,{default:C(()=>[e.value?r(l.$slots,"default",u(k({key:0},{visible:e.value,setVisible:n}))):g("",!0)]),_:3})]))}});export{w as _};
diff --git a/assets/ColorPalette.vue_vue_type_script_setup_true_lang-EIEI_2Ix.js b/assets/ColorPalette.vue_vue_type_script_setup_true_lang-CzX7Yr-T.js
similarity index 87%
rename from assets/ColorPalette.vue_vue_type_script_setup_true_lang-EIEI_2Ix.js
rename to assets/ColorPalette.vue_vue_type_script_setup_true_lang-CzX7Yr-T.js
index fbac1ff466272903b80bb5f2ce49564dbcba0d4e..4e547d6d2138223dd50342d1e1c826fcf9549f9f 100644
--- a/assets/ColorPalette.vue_vue_type_script_setup_true_lang-EIEI_2Ix.js
+++ b/assets/ColorPalette.vue_vue_type_script_setup_true_lang-CzX7Yr-T.js
@@ -1 +1 @@
-import{_ as b}from"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import{d,x as m,o as i,y as l,a as n,z as c,m as y,bH as f,D as g,v as C,c as u,C as k,bx as v,by as x,b as s,e,n as h,bR as z}from"./index-BYewP6KR.js";import"./live2d-zip-loader-CvpgOHsT.js";import{W as w,j as S,q as $,U as B,G as E,H}from"./index-C4TaASqf.js";const V=["onClick"],F={flex:"","gap-1.5":""},q=d({__name:"Section",props:{title:null,icon:null,innerClass:null,expand:{type:Boolean,default:!0}},setup(t){return(o,_)=>(i(),m(b,{default:t.expand},{trigger:l(r=>[n("button",{class:"w-full flex items-center justify-between rounded-lg px-4 py-3 outline-none transition-all duration-250 ease-in-out",bg:"zinc-100 dark:zinc-800",hover:"bg-zinc-200 dark:bg-zinc-700",onClick:a=>r.setVisible(!r.visible)},[n("div",F,[n("div",{class:c(t.icon),"size-6":""},null,2),f(" "+g(t.title),1)]),n("div",{"i-solar:alt-arrow-down-bold-duotone":"",transition:"transform duration-250",class:c({"rotate-180":r.visible})},null,2)],8,V)]),default:l(()=>[n("div",{grid:"","gap-4":"","p-4":"",class:c(t.innerClass)},[y(o.$slots,"default")],2)]),_:3},8,["default"]))}}),N={key:0,flex:"","gap-2":""},G=d({__name:"ColorPalette",props:{colors:null},setup(t){const o=C();return(_,r)=>t.colors.length?(i(),u("div",N,[(i(!0),u(v,null,x(t.colors,({hex:a,name:p})=>(i(),m(e(H),{key:a||"default"},{default:l(()=>[s(e(w),null,{default:l(()=>[s(e(S),{transition:"all ease-in-out duration-250","bg-primary-500":"","size-6":"","cursor-pointer":"","rounded-full":"",style:h(a?{background:a}:{"--theme-colors-hue":e(z)}),class:c(e(o).isColorSelectedForPrimary(a)?"scale-150 mx-1":"hover:scale-110"),onClick:U=>e(o).applyPrimaryColorFrom(a)},null,8,["style","class","onClick"]),s(e($),null,{default:l(()=>[s(e(B),{bg:"white dark:neutral-800","rounded-lg":"","px-3":"","py-1.5":"","text-sm":"","shadow-md":""},{default:l(()=>[f(g(p)+" ",1),s(e(E),{"fill-white":"","dark:fill-neutral-800":""})]),_:2},1024)]),_:2},1024)]),_:2},1024)]),_:2},1024))),128))])):k("",!0)}});export{q as _,G as a};
+import{_ as b}from"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import{d,x as m,o as i,y as l,a as n,z as c,m as y,bH as f,D as g,v as C,c as u,C as k,bx as v,by as x,b as s,e,n as h,bR as z}from"./index-CL4rmUJ-.js";import"./live2d-zip-loader-DFrBymqv.js";import{W as w,j as S,q as $,U as B,G as E,H}from"./index-CDeQ6Zfm.js";const V=["onClick"],F={flex:"","gap-1.5":""},q=d({__name:"Section",props:{title:null,icon:null,innerClass:null,expand:{type:Boolean,default:!0}},setup(t){return(o,_)=>(i(),m(b,{default:t.expand},{trigger:l(r=>[n("button",{class:"w-full flex items-center justify-between rounded-lg px-4 py-3 outline-none transition-all duration-250 ease-in-out",bg:"zinc-100 dark:zinc-800",hover:"bg-zinc-200 dark:bg-zinc-700",onClick:a=>r.setVisible(!r.visible)},[n("div",F,[n("div",{class:c(t.icon),"size-6":""},null,2),f(" "+g(t.title),1)]),n("div",{"i-solar:alt-arrow-down-bold-duotone":"",transition:"transform duration-250",class:c({"rotate-180":r.visible})},null,2)],8,V)]),default:l(()=>[n("div",{grid:"","gap-4":"","p-4":"",class:c(t.innerClass)},[y(o.$slots,"default")],2)]),_:3},8,["default"]))}}),N={key:0,flex:"","gap-2":""},G=d({__name:"ColorPalette",props:{colors:null},setup(t){const o=C();return(_,r)=>t.colors.length?(i(),u("div",N,[(i(!0),u(v,null,x(t.colors,({hex:a,name:p})=>(i(),m(e(H),{key:a||"default"},{default:l(()=>[s(e(w),null,{default:l(()=>[s(e(S),{transition:"all ease-in-out duration-250","bg-primary-500":"","size-6":"","cursor-pointer":"","rounded-full":"",style:h(a?{background:a}:{"--theme-colors-hue":e(z)}),class:c(e(o).isColorSelectedForPrimary(a)?"scale-150 mx-1":"hover:scale-110"),onClick:U=>e(o).applyPrimaryColorFrom(a)},null,8,["style","class","onClick"]),s(e($),null,{default:l(()=>[s(e(B),{bg:"white dark:neutral-800","rounded-lg":"","px-3":"","py-1.5":"","text-sm":"","shadow-md":""},{default:l(()=>[f(g(p)+" ",1),s(e(E),{"fill-white":"","dark:fill-neutral-800":""})]),_:2},1024)]),_:2},1024)]),_:2},1024)]),_:2},1024))),128))])):k("",!0)}});export{q as _,G as a};
diff --git a/assets/DeleteCardDialog-B93IlDSL.js b/assets/DeleteCardDialog-B93IlDSL.js
new file mode 100644
index 0000000000000000000000000000000000000000..5f6ff921ff892e5ca8e9c83804acd1ddceb8c177
--- /dev/null
+++ b/assets/DeleteCardDialog-B93IlDSL.js
@@ -0,0 +1 @@
+import{_ as o}from"./DeleteCardDialog.vue_vue_type_script_setup_true_lang-C1JwBLjv.js";import"./index-CL4rmUJ-.js";import"./index-CDeQ6Zfm.js";export{o as default};
diff --git a/assets/DeleteCardDialog-CzJ6iFuT.js b/assets/DeleteCardDialog-CzJ6iFuT.js
deleted file mode 100644
index c306f986531d3225d2c39405db19e8d9310dea68..0000000000000000000000000000000000000000
--- a/assets/DeleteCardDialog-CzJ6iFuT.js
+++ /dev/null
@@ -1 +0,0 @@
-import{_ as o}from"./DeleteCardDialog.vue_vue_type_script_setup_true_lang-_ktQBMkP.js";import"./index-BYewP6KR.js";import"./index-C4TaASqf.js";export{o as default};
diff --git a/assets/DeleteCardDialog.vue_vue_type_script_setup_true_lang-_ktQBMkP.js b/assets/DeleteCardDialog.vue_vue_type_script_setup_true_lang-C1JwBLjv.js
similarity index 93%
rename from assets/DeleteCardDialog.vue_vue_type_script_setup_true_lang-_ktQBMkP.js
rename to assets/DeleteCardDialog.vue_vue_type_script_setup_true_lang-C1JwBLjv.js
index bf49436f64179db2238858f74ca4554b98df2895..796c3ccda669c991d76dce65f51966a6d256be7c 100644
--- a/assets/DeleteCardDialog.vue_vue_type_script_setup_true_lang-_ktQBMkP.js
+++ b/assets/DeleteCardDialog.vue_vue_type_script_setup_true_lang-C1JwBLjv.js
@@ -1 +1 @@
-import{d as v,h as p,c as r,o as d,z as g,a as m,C as h,m as _,D as i,q as w,x as C,y as n,b as t,e,bH as x}from"./index-BYewP6KR.js";import{A as V,k as B,O as N,V as z,F as D,M as O,N as S,T}from"./index-C4TaASqf.js";const $=["disabled"],j={class:"flex flex-row items-center justify-center gap-2"},A={key:0,class:"i-lucide:loader-circle animate-spin"},F={key:2},y=v({__name:"Button",props:{icon:null,label:null,disabled:{type:Boolean,default:!1},loading:{type:Boolean,default:!1},variant:{default:"primary"},size:{default:"md"},block:{type:Boolean,default:!1}},setup(a){const s=a,l=p(()=>s.disabled||s.loading),o={primary:"bg-primary-500 hover:bg-primary-600 dark:bg-primary-400 dark:hover:bg-primary-500 text-white",secondary:"bg-neutral-100 hover:bg-neutral-200 dark:bg-neutral-600 dark:hover:bg-neutral-500 text-neutral-900 dark:text-neutral-100",danger:"bg-red-500 hover:bg-red-600 dark:bg-red-400 dark:hover:bg-red-500 text-white"},c={sm:"px-3 py-1.5 text-xs",md:"px-4 py-2 text-sm",lg:"px-6 py-3 text-base"},u=p(()=>["rounded-lg font-medium outline-none transition-all duration-200 ease-in-out","disabled:cursor-not-allowed disabled:opacity-50",s.block?"w-full":"",c[s.size],o[s.variant],{"opacity-50 cursor-not-allowed":l.value},"focus:ring-2 focus:ring-offset-2 focus:ring-offset-white dark:focus:ring-offset-neutral-900","focus:ring-primary-500/50 dark:focus:ring-primary-400/50"]);return(b,f)=>(d(),r("button",{disabled:l.value,class:g(u.value)},[m("div",j,[a.loading?(d(),r("div",A)):a.icon?(d(),r("div",{key:1,class:g(a.icon)},null,2)):h("",!0),a.label?(d(),r("span",F,i(a.label),1)):_(b.$slots,"default",{key:3})])],10,$))}}),H={class:"flex flex-row justify-end gap-3"},q=v({__name:"DeleteCardDialog",props:{modelValue:{type:Boolean},cardName:null},emits:["update:modelValue","confirm","cancel"],setup(a,{emit:s}){const l=s,{t:o}=w();function c(){l("update:modelValue",!1),l("cancel")}function u(){l("update:modelValue",!1),l("confirm")}return(b,f)=>(d(),C(e(T),{open:a.modelValue,"onUpdate:open":f[0]||(f[0]=k=>l("update:modelValue",k))},{default:n(()=>[t(e(V),null,{default:n(()=>[t(e(B),{class:"data-[state=open]:animate-fadeIn data-[state=closed]:animate-fadeOut fixed inset-0 z-50 bg-black/50"}),t(e(N),{class:"data-[state=open]:animate-contentShow data-[state=closed]:animate-contentHide fixed left-1/2 top-1/2 z-50 max-w-md w-full border border-neutral-200 rounded-xl bg-white p-6 shadow-xl -translate-x-1/2 -translate-y-1/2 dark:border-neutral-700 dark:bg-neutral-800"},{default:n(()=>[t(e(z),{class:"mb-4 text-xl font-bold"},{default:n(()=>[x(i(e(o)("settings.pages.card.delete_card")),1)]),_:1}),t(e(D),{class:"mb-6"},{default:n(()=>[x(i(e(o)("settings.pages.card.delete_confirmation"))+" ",1),m("b",null,'"'+i(a.cardName||"")+'"',1)]),_:1}),m("div",H,[t(e(O),{"as-child":""},{default:n(()=>[t(e(y),{variant:"secondary",label:e(o)("settings.pages.card.cancel"),onClick:c},null,8,["label"])]),_:1}),t(e(S),{"as-child":""},{default:n(()=>[t(e(y),{variant:"danger",label:e(o)("settings.pages.card.delete"),onClick:u},null,8,["label"])]),_:1})])]),_:1})]),_:1})]),_:1},8,["open"]))}});export{q as _,y as a};
+import{d as v,h as p,c as r,o as d,z as g,a as m,C as h,m as _,D as i,q as w,x as C,y as n,b as t,e,bH as x}from"./index-CL4rmUJ-.js";import{A as V,k as B,O as N,V as z,F as D,M as O,N as S,T}from"./index-CDeQ6Zfm.js";const $=["disabled"],j={class:"flex flex-row items-center justify-center gap-2"},A={key:0,class:"i-lucide:loader-circle animate-spin"},F={key:2},y=v({__name:"Button",props:{icon:null,label:null,disabled:{type:Boolean,default:!1},loading:{type:Boolean,default:!1},variant:{default:"primary"},size:{default:"md"},block:{type:Boolean,default:!1}},setup(a){const s=a,l=p(()=>s.disabled||s.loading),o={primary:"bg-primary-500 hover:bg-primary-600 dark:bg-primary-400 dark:hover:bg-primary-500 text-white",secondary:"bg-neutral-100 hover:bg-neutral-200 dark:bg-neutral-600 dark:hover:bg-neutral-500 text-neutral-900 dark:text-neutral-100",danger:"bg-red-500 hover:bg-red-600 dark:bg-red-400 dark:hover:bg-red-500 text-white"},c={sm:"px-3 py-1.5 text-xs",md:"px-4 py-2 text-sm",lg:"px-6 py-3 text-base"},u=p(()=>["rounded-lg font-medium outline-none transition-all duration-200 ease-in-out","disabled:cursor-not-allowed disabled:opacity-50",s.block?"w-full":"",c[s.size],o[s.variant],{"opacity-50 cursor-not-allowed":l.value},"focus:ring-2 focus:ring-offset-2 focus:ring-offset-white dark:focus:ring-offset-neutral-900","focus:ring-primary-500/50 dark:focus:ring-primary-400/50"]);return(b,f)=>(d(),r("button",{disabled:l.value,class:g(u.value)},[m("div",j,[a.loading?(d(),r("div",A)):a.icon?(d(),r("div",{key:1,class:g(a.icon)},null,2)):h("",!0),a.label?(d(),r("span",F,i(a.label),1)):_(b.$slots,"default",{key:3})])],10,$))}}),H={class:"flex flex-row justify-end gap-3"},q=v({__name:"DeleteCardDialog",props:{modelValue:{type:Boolean},cardName:null},emits:["update:modelValue","confirm","cancel"],setup(a,{emit:s}){const l=s,{t:o}=w();function c(){l("update:modelValue",!1),l("cancel")}function u(){l("update:modelValue",!1),l("confirm")}return(b,f)=>(d(),C(e(T),{open:a.modelValue,"onUpdate:open":f[0]||(f[0]=k=>l("update:modelValue",k))},{default:n(()=>[t(e(V),null,{default:n(()=>[t(e(B),{class:"data-[state=open]:animate-fadeIn data-[state=closed]:animate-fadeOut fixed inset-0 z-50 bg-black/50"}),t(e(N),{class:"data-[state=open]:animate-contentShow data-[state=closed]:animate-contentHide fixed left-1/2 top-1/2 z-50 max-w-md w-full border border-neutral-200 rounded-xl bg-white p-6 shadow-xl -translate-x-1/2 -translate-y-1/2 dark:border-neutral-700 dark:bg-neutral-800"},{default:n(()=>[t(e(z),{class:"mb-4 text-xl font-bold"},{default:n(()=>[x(i(e(o)("settings.pages.card.delete_card")),1)]),_:1}),t(e(D),{class:"mb-6"},{default:n(()=>[x(i(e(o)("settings.pages.card.delete_confirmation"))+" ",1),m("b",null,'"'+i(a.cardName||"")+'"',1)]),_:1}),m("div",H,[t(e(O),{"as-child":""},{default:n(()=>[t(e(y),{variant:"secondary",label:e(o)("settings.pages.card.cancel"),onClick:c},null,8,["label"])]),_:1}),t(e(S),{"as-child":""},{default:n(()=>[t(e(y),{variant:"danger",label:e(o)("settings.pages.card.delete"),onClick:u},null,8,["label"])]),_:1})])]),_:1})]),_:1})]),_:1},8,["open"]))}});export{q as _,y as a};
diff --git a/assets/FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js b/assets/FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js
similarity index 81%
rename from assets/FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js
rename to assets/FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js
index 0d91f492d973eecf3e9f3eb95d6354c5e1daebae..32bfd5d3fe13b999ab0a9a0711d560001184c8ec 100644
--- a/assets/FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js
+++ b/assets/FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js
@@ -1 +1 @@
-import{_ as m}from"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";import{d as p,h as x,c as o,o as n,a as l,b as V,bH as f,C as h,D as d,z as v}from"./index-BYewP6KR.js";const y={"max-w-full":""},C={flex:"~ col gap-4"},_={class:"flex items-center gap-1 text-sm font-medium"},b={key:0,class:"text-red-500"},g={class:"text-xs text-neutral-500 dark:text-neutral-400","text-nowrap":""},N=p({__name:"FieldInput",props:{modelValue:null,label:null,description:null,placeholder:null,required:{type:Boolean},type:null,inputClass:null},emits:["update:modelValue"],setup(e,{emit:u}){const c=e,i=u,t=x({get:()=>c.modelValue,set:a=>i("update:modelValue",a)});return(a,s)=>(n(),o("div",y,[l("label",C,[l("div",null,[l("div",_,[f(d(e.label)+" ",1),e.required!==!1?(n(),o("span",b,"*")):h("",!0)]),l("div",g,d(e.description),1)]),V(m,{modelValue:t.value,"onUpdate:modelValue":s[0]||(s[0]=r=>t.value=r),type:e.type,placeholder:e.placeholder,class:v(e.inputClass)},null,8,["modelValue","type","placeholder","class"])])]))}});export{N as _};
+import{_ as m}from"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";import{d as p,h as x,c as o,o as n,a as l,b as V,bH as f,C as h,D as d,z as v}from"./index-CL4rmUJ-.js";const y={"max-w-full":""},C={flex:"~ col gap-4"},_={class:"flex items-center gap-1 text-sm font-medium"},b={key:0,class:"text-red-500"},g={class:"text-xs text-neutral-500 dark:text-neutral-400","text-nowrap":""},N=p({__name:"FieldInput",props:{modelValue:null,label:null,description:null,placeholder:null,required:{type:Boolean},type:null,inputClass:null},emits:["update:modelValue"],setup(e,{emit:u}){const c=e,i=u,t=x({get:()=>c.modelValue,set:a=>i("update:modelValue",a)});return(a,s)=>(n(),o("div",y,[l("label",C,[l("div",null,[l("div",_,[f(d(e.label)+" ",1),e.required!==!1?(n(),o("span",b,"*")):h("",!0)]),l("div",g,d(e.description),1)]),V(m,{modelValue:t.value,"onUpdate:modelValue":s[0]||(s[0]=r=>t.value=r),type:e.type,placeholder:e.placeholder,class:v(e.inputClass)},null,8,["modelValue","type","placeholder","class"])])]))}});export{N as _};
diff --git a/assets/HeaderLink-7ZfdE9hW.js b/assets/HeaderLink-ByYQsQjF.js
similarity index 90%
rename from assets/HeaderLink-7ZfdE9hW.js
rename to assets/HeaderLink-ByYQsQjF.js
index 37b4d8ea5849091a656c7c3bfd8995e63343a727..2644134fab4caee00f0de319d350ac28fdf6c984 100644
--- a/assets/HeaderLink-7ZfdE9hW.js
+++ b/assets/HeaderLink-ByYQsQjF.js
@@ -1 +1 @@
-import{d as r,bC as c,x as l,e,bo as d,o as s,y as _,c as t,a,bn as i}from"./index-BYewP6KR.js";const k="/assets/logo-dark-CO0kwKsz.svg",p="/assets/logo-D6zeZTFl.svg",u=["src"],m=["src"],x=r({__name:"HeaderLink",setup(g){const n=c();return(f,o)=>(s(),l(e(d),{to:"/",flex:"~","items-center":"","gap-2":"","px-2":"","text-nowrap":"","text-2xl":"","outline-none":""},{default:_(()=>[e(n)?(s(),t("img",{key:0,src:e(k),"h-8":"","w-8":"",class:"theme-colored"},null,8,u)):(s(),t("img",{key:1,src:e(p),"h-8":"","w-8":"",class:"theme-colored"},null,8,m)),o[0]||(o[0]=a("div",{"font-cute":""},[a("span",null,"アイリ")],-1))]),_:1}))}}),w=i(x,[["__scopeId","data-v-496b6cde"]]);export{w as H};
+import{d as r,bC as c,x as l,e,bo as d,o as s,y as _,c as t,a,bn as i}from"./index-CL4rmUJ-.js";const k="/assets/logo-dark-CO0kwKsz.svg",p="/assets/logo-D6zeZTFl.svg",u=["src"],m=["src"],x=r({__name:"HeaderLink",setup(g){const n=c();return(f,o)=>(s(),l(e(d),{to:"/",flex:"~","items-center":"","gap-2":"","px-2":"","text-nowrap":"","text-2xl":"","outline-none":""},{default:_(()=>[e(n)?(s(),t("img",{key:0,src:e(k),"h-8":"","w-8":"",class:"theme-colored"},null,8,u)):(s(),t("img",{key:1,src:e(p),"h-8":"","w-8":"",class:"theme-colored"},null,8,m)),o[0]||(o[0]=a("div",{"font-cute":""},[a("span",null,"アイリ")],-1))]),_:1}))}}),w=i(x,[["__scopeId","data-v-496b6cde"]]);export{w as H};
diff --git a/assets/IconAnimation.vue_vue_type_script_setup_true_lang-Bm3hGrtj.js b/assets/IconAnimation.vue_vue_type_script_setup_true_lang-Cz87WWfY.js
similarity index 95%
rename from assets/IconAnimation.vue_vue_type_script_setup_true_lang-Bm3hGrtj.js
rename to assets/IconAnimation.vue_vue_type_script_setup_true_lang-Cz87WWfY.js
index b54d9c416c8ec1927c7d067bf9b2a47ffcb40344..2339f07df7bea52dd217032446b747085d2e0a0b 100644
--- a/assets/IconAnimation.vue_vue_type_script_setup_true_lang-Bm3hGrtj.js
+++ b/assets/IconAnimation.vue_vue_type_script_setup_true_lang-Cz87WWfY.js
@@ -1 +1 @@
-import{d as m,g as s,w as p,h,c as f,o as x,n as l,a as u,z as y}from"./index-BYewP6KR.js";const C=m({__name:"IconAnimation",props:{icon:null,iconSize:null,position:null,duration:null,started:{type:Boolean},textColor:null,isReverse:{type:Boolean},zIndex:null},emits:["animationEnded"],setup(a,{emit:d}){const e=a,c=d,n=s(!1);p(()=>e.started,o=>{o&&requestAnimationFrame(()=>{n.value=!0})});const t=h(()=>({opacity:n.value!==e.isReverse?1:0,size:n.value!==e.isReverse?25:e.iconSize,position:n.value!==e.isReverse?"calc(50dvw - 12.5rem), calc(50dvh - 12.5rem)":e.position,textColor:n.value!==e.isReverse?"text-white":e.textColor})),i=s([]),r=s(!1);function v(o){i.value.push(o.propertyName),i.value.includes("color")&&i.value.includes("width")&&i.value.includes("height")&&i.value.includes("transform")&&(r.value=!0,c("animationEnded"))}return(o,z)=>(x(),f("div",{"pointer-events-none":"",fixed:"",w:"100dvw",h:"100dvh",style:l({zIndex:r.value?a.zIndex:void 0})},[u("div",{"bg-primary-500":"",fixed:"","inset-0":"","transition-opacity":"","ease-linear":"",style:l({opacity:t.value.opacity,transitionDuration:`${a.duration}ms`})},null,4),u("div",{fixed:"","inset-0":"","ease-in-out":"",style:l({width:`${t.value.size}rem`,height:`${t.value.size}rem`,transform:`translate(${t.value.position})`,transitionDuration:`${a.duration}ms`}),class:y([t.value.textColor,e.icon,{"transition-all":n.value}]),onTransitionend:v},null,38)],4))}});export{C as _};
+import{d as m,g as s,w as p,h,c as f,o as x,n as l,a as u,z as y}from"./index-CL4rmUJ-.js";const C=m({__name:"IconAnimation",props:{icon:null,iconSize:null,position:null,duration:null,started:{type:Boolean},textColor:null,isReverse:{type:Boolean},zIndex:null},emits:["animationEnded"],setup(a,{emit:d}){const e=a,c=d,n=s(!1);p(()=>e.started,o=>{o&&requestAnimationFrame(()=>{n.value=!0})});const t=h(()=>({opacity:n.value!==e.isReverse?1:0,size:n.value!==e.isReverse?25:e.iconSize,position:n.value!==e.isReverse?"calc(50dvw - 12.5rem), calc(50dvh - 12.5rem)":e.position,textColor:n.value!==e.isReverse?"text-white":e.textColor})),i=s([]),r=s(!1);function v(o){i.value.push(o.propertyName),i.value.includes("color")&&i.value.includes("width")&&i.value.includes("height")&&i.value.includes("transform")&&(r.value=!0,c("animationEnded"))}return(o,z)=>(x(),f("div",{"pointer-events-none":"",fixed:"",w:"100dvw",h:"100dvh",style:l({zIndex:r.value?a.zIndex:void 0})},[u("div",{"bg-primary-500":"",fixed:"","inset-0":"","transition-opacity":"","ease-linear":"",style:l({opacity:t.value.opacity,transitionDuration:`${a.duration}ms`})},null,4),u("div",{fixed:"","inset-0":"","ease-in-out":"",style:l({width:`${t.value.size}rem`,height:`${t.value.size}rem`,transform:`translate(${t.value.position})`,transitionDuration:`${a.duration}ms`}),class:y([t.value.textColor,e.icon,{"transition-all":n.value}]),onTransitionend:v},null,38)],4))}});export{C as _};
diff --git a/assets/IconStatusItem-DXrpg97R.js b/assets/IconStatusItem-CKiy6LHl.js
similarity index 97%
rename from assets/IconStatusItem-DXrpg97R.js
rename to assets/IconStatusItem-CKiy6LHl.js
index 628f2fe28201c38ee1e153a91cd3ee7819416cf6..12537ba69136a774dacc37604ee29dd7f6923496 100644
--- a/assets/IconStatusItem-DXrpg97R.js
+++ b/assets/IconStatusItem-CKiy6LHl.js
@@ -1 +1 @@
-import{d as u,r as c,c as e,o as n,b as d,a as o,y as m,C as a,D as i,z as s,bn as _}from"./index-BYewP6KR.js";const p={flex:"~ col",bg:"neutral-200/50 dark:neutral-800/50",border:"neutral-100 dark:neutral-800/25 hover:primary-500/30 dark:hover:primary-400/30 solid 2","drop-shadow":"none hover:[0px_4px_4px_rgba(220,220,220,0.4)] active:[0px_0px_0px_rgba(220,220,220,0.25)] dark:hover:none",class:"menu-icon-status-item",transition:"all ease-in-out duration-400","w-full":"","cursor-pointer":"","of-hidden":"","rounded-xl":""},g={"z-1":"","flex-1":""},h={"text-lg":"","font-bold":"",class:"menu-icon-status-item-title",transition:"all ease-in-out duration-400"},k={text:"sm neutral-500 dark:neutral-400",class:"menu-icon-status-item-description",transition:"all ease-in-out duration-400"},f=["src"],x={"p-2":""},v={key:0,"size-3":"",bg:"green-500 dark:green-600","rounded-full":""},y={key:1,"size-3":"",bg:"neutral-400 dark:neutral-500","rounded-full":""},b=u({__name:"IconStatusItem",props:{title:null,description:null,icon:null,iconColor:null,iconImage:null,to:null,configured:{type:Boolean}},setup(r){const t=r;return(C,I)=>{const l=c("RouterLink");return n(),e("div",p,[d(l,{flex:"~ row",class:"menu-icon-status-item-link",bg:"white dark:neutral-900",transition:"all ease-in-out duration-400",relative:"","h-full":"","w-full":"","items-center":"","overflow-hidden":"","rounded-lg":"","p-5":"","text-left":"",to:t.to},{default:m(()=>[o("div",g,[o("div",h,i(t.title),1),o("div",k,[o("span",null,i(t.description),1)])]),t.icon?(n(),e("div",{key:0,class:s(["menu-icon-status-item-icon",[t.icon]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconColor?(n(),e("div",{key:1,class:s(["menu-icon-status-item-icon-color",[t.iconColor]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconImage?(n(),e("img",{key:2,src:t.iconImage,class:"menu-icon-status-item-icon-image",transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"","grayscale-100":""},null,8,f)):a("",!0)]),_:1},8,["to"]),o("div",x,[t.configured?(n(),e("div",v)):(n(),e("div",y))])])}}}),w=_(b,[["__scopeId","data-v-7ea16194"]]);export{w as I};
+import{d as u,r as c,c as e,o as n,b as d,a as o,y as m,C as a,D as i,z as s,bn as _}from"./index-CL4rmUJ-.js";const p={flex:"~ col",bg:"neutral-200/50 dark:neutral-800/50",border:"neutral-100 dark:neutral-800/25 hover:primary-500/30 dark:hover:primary-400/30 solid 2","drop-shadow":"none hover:[0px_4px_4px_rgba(220,220,220,0.4)] active:[0px_0px_0px_rgba(220,220,220,0.25)] dark:hover:none",class:"menu-icon-status-item",transition:"all ease-in-out duration-400","w-full":"","cursor-pointer":"","of-hidden":"","rounded-xl":""},g={"z-1":"","flex-1":""},h={"text-lg":"","font-bold":"",class:"menu-icon-status-item-title",transition:"all ease-in-out duration-400"},k={text:"sm neutral-500 dark:neutral-400",class:"menu-icon-status-item-description",transition:"all ease-in-out duration-400"},f=["src"],x={"p-2":""},v={key:0,"size-3":"",bg:"green-500 dark:green-600","rounded-full":""},y={key:1,"size-3":"",bg:"neutral-400 dark:neutral-500","rounded-full":""},b=u({__name:"IconStatusItem",props:{title:null,description:null,icon:null,iconColor:null,iconImage:null,to:null,configured:{type:Boolean}},setup(r){const t=r;return(C,I)=>{const l=c("RouterLink");return n(),e("div",p,[d(l,{flex:"~ row",class:"menu-icon-status-item-link",bg:"white dark:neutral-900",transition:"all ease-in-out duration-400",relative:"","h-full":"","w-full":"","items-center":"","overflow-hidden":"","rounded-lg":"","p-5":"","text-left":"",to:t.to},{default:m(()=>[o("div",g,[o("div",h,i(t.title),1),o("div",k,[o("span",null,i(t.description),1)])]),t.icon?(n(),e("div",{key:0,class:s(["menu-icon-status-item-icon",[t.icon]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconColor?(n(),e("div",{key:1,class:s(["menu-icon-status-item-icon-color",[t.iconColor]]),transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"",text:"neutral-400/50 dark:neutral-600/50","grayscale-100":""},null,2)):a("",!0),t.iconImage?(n(),e("img",{key:2,src:t.iconImage,class:"menu-icon-status-item-icon-image",transition:"all ease-in-out duration-400",absolute:"","right-0":"","size-16":"","translate-y-2":"","grayscale-100":""},null,8,f)):a("",!0)]),_:1},8,["to"]),o("div",x,[t.configured?(n(),e("div",v)):(n(),e("div",y))])])}}}),w=_(b,[["__scopeId","data-v-7ea16194"]]);export{w as I};
diff --git a/assets/Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js b/assets/Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js
similarity index 91%
rename from assets/Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js
rename to assets/Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js
index 974ee01ebb0fbf7ca3dd8a15bdeab07be34b5a7f..20452a0f1446a8e8cb6ac7aa2b8788048359e70e 100644
--- a/assets/Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js
+++ b/assets/Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js
@@ -1 +1 @@
-import{d as r,bK as n,bL as u,A as s,cr as d,o as i,c as p}from"./index-BYewP6KR.js";const m=["type"],y=r({__name:"Input",props:n({type:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,t=u(e,"modelValue");return(c,a)=>s((i(),p("input",{"onUpdate:modelValue":a[0]||(a[0]=o=>t.value=o),type:l.type||"text",border:"focus:primary-100 dark:focus:primary-400/50 2 solid neutral-200 dark:neutral-800",transition:"all duration-200 ease-in-out",text:"disabled:neutral-400 dark:disabled:neutral-600",cursor:"disabled:not-allowed","w-full":"","rounded-lg":"","px-2":"","py-1":"","text-nowrap":"","text-sm":"","outline-none":"",shadow:"sm",bg:"neutral-100 dark:neutral-800 focus:neutral-50 dark:focus:neutral-900"},null,8,m)),[[d,t.value]])}});export{y as _};
+import{d as r,bK as n,bL as u,A as s,cr as d,o as i,c as p}from"./index-CL4rmUJ-.js";const m=["type"],y=r({__name:"Input",props:n({type:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,t=u(e,"modelValue");return(c,a)=>s((i(),p("input",{"onUpdate:modelValue":a[0]||(a[0]=o=>t.value=o),type:l.type||"text",border:"focus:primary-100 dark:focus:primary-400/50 2 solid neutral-200 dark:neutral-800",transition:"all duration-200 ease-in-out",text:"disabled:neutral-400 dark:disabled:neutral-600",cursor:"disabled:not-allowed","w-full":"","rounded-lg":"","px-2":"","py-1":"","text-nowrap":"","text-sm":"","outline-none":"",shadow:"sm",bg:"neutral-100 dark:neutral-800 focus:neutral-50 dark:focus:neutral-900"},null,8,m)),[[d,t.value]])}});export{y as _};
diff --git a/assets/Model.vue_vue_type_script_setup_true_lang-CvOp1AJu.js b/assets/Model.vue_vue_type_script_setup_true_lang-CuI1gVrl.js
similarity index 97%
rename from assets/Model.vue_vue_type_script_setup_true_lang-CvOp1AJu.js
rename to assets/Model.vue_vue_type_script_setup_true_lang-CuI1gVrl.js
index d5229d683b743f6de28541eb1bc7b39a7fa3b921..6b1a659851335ead73b53d14d36c2b9d962cab43 100644
--- a/assets/Model.vue_vue_type_script_setup_true_lang-CvOp1AJu.js
+++ b/assets/Model.vue_vue_type_script_setup_true_lang-CuI1gVrl.js
@@ -1 +1 @@
-import{n as C,T as Y,A as re,L as F,o as $,r as ue,D as se,I as de,m as O,M as ce,p as R}from"./live2d-zip-loader-CvpgOHsT.js";import{bO as ve,d as G,g as h,w as p,l as N,H as X,c as j,o as q,m as Q,br as T,h as z,bC as pe,i as he,G as fe,s as me,v as ge,bP as Me,bQ as we,bx as ye,a as be,p as Se}from"./index-BYewP6KR.js";const xe=o=>Math.max(0,Math.min(1,o||0)),B=o=>Math.round(xe(o)*255),Pe=ve("rgb"),Be=o=>{if(o===void 0)return;let l=B(o.r),t=B(o.g),d=B(o.b);return"#"+(1<<24|l<<16|t<<8|d).toString(16).slice(1)},Ce=o=>Be(Pe(o)),ke=G({__name:"Canvas",props:{width:null,height:null},setup(o,{expose:l}){const t=o,d=h(),e=h(),i=h();async function c(n){F.registerTicker($),C.add(Y),e.value=new re({width:t.width,height:t.height,backgroundAlpha:0,preserveDrawingBuffer:!0}),i.value=e.value.view,i.value.style.objectFit="contain",n.appendChild(e.value.view)}function y(){var n;e.value&&e.value.renderer.resize(t.width,t.height),(n=e.value)!=null&&n.view&&(e.value.view.width=t.width,e.value.view.height=t.height)}p([()=>t.width,()=>t.height],()=>y()),N(async()=>d.value&&await c(d.value)),X(()=>{var n;return(n=e.value)==null?void 0:n.destroy()});async function P(){return new Promise(g=>{if(!i.value||!e.value)return g(null);e.value.render(),i.value.toBlob(g)})}return l({captureFrame:P}),(n,g)=>(q(),j("div",{ref_key:"containerRef",ref:d,"h-full":"","w-full":""},[Q(n.$slots,"default",{app:e.value})],512))}});function V(o,l,t){return(1-t)*o+t*l}function H(o,l){return o+Math.random()*(l-o)}function Fe(){let o=-1,l,t=-1;function d(e,i){(i>=o||i<t)&&(l=[H(-1,1),H(-1,.7)],t=i,o=i+ue()/1e3,e.focusController.focus(l[0]*.5,l[1]*.5,!1)),e.focusController.update(i-t);const c=e.coreModel;c.setParameterValueById("ParamEyeBallX",V(c.getParameterValueById("ParamEyeBallX"),l[0],.3)),c.setParameterValueById("ParamEyeBallY",V(c.getParameterValueById("ParamEyeBallY"),l[1],.3))}return{update:d}}const _e=G({__name:"Model",props:{app:null,mouthOpenSize:{default:0},width:null,height:null,paused:{type:Boolean}},setup(o){const l=o,t=T(()=>l.app),d=T(()=>l.paused),e=h(),i=h(0),c=h(0),y=z(()=>Math.max(0,Math.min(100,l.mouthOpenSize))),P=pe(),n=he(Se),g=z(()=>n.between("sm","md").value||n.smaller("sm").value),U=Fe(),I=fe(new se({alpha:.2,blur:0,distance:20,rotation:45}));function W(){return e.value.internalModel.coreModel}function D(a){if(!a.value)return;let r=2.2;g.value&&(r=2.2);const f=l.height*.95/c.value*r,s=l.width*.95/i.value*r,m=Math.min(f,s);a.value.scale.set(m,m)}const{live2dModelFile:b,loadingLive2dModel:M,live2dCurrentMotion:J,availableLive2dMotions:K,live2dLoadSource:S,live2dModelUrl:k,themeColorsHue:Z,themeColorsHueDynamic:_}=me(ge()),ee=h({group:"Idle",index:0});async function ae(){var L;if(!t.value)return;e.value&&(t.value.stage.removeChild(e.value),e.value.destroy(),e.value=void 0);const a=new F;S.value==="file"?await R.setupLive2DModel(a,[b.value]):S.value==="url"&&await R.setupLive2DModel(a,k.value),e.value=a,t.value.stage.addChild(e.value),i.value=e.value.width,c.value=e.value.height,e.value.x=l.width/2,e.value.y=l.height,e.value.rotation=Math.PI,e.value.skew.x=Math.PI,e.value.anchor.set(.5,.5),D(e),e.value.on("hit",v=>{e.value&&v.includes("body")&&e.value.motion("tap_body")});const r=e.value.internalModel,f=r.coreModel,s=r.motionManager;f.setParameterValueById("ParamMouthOpenY",y.value),K.value=Object.entries(s.definitions).flatMap(([v,u])=>u?u.map((ie,ne)=>({motionName:v,motionIndex:ne,fileName:ie.File})):[]).filter(Boolean),s.groups.idle&&((L=s.motionGroups[s.groups.idle])==null||L.forEach(v=>{v._motionData.curves.forEach(u=>{(u.id==="ParamEyeBallX"||u.id==="ParamEyeBallY")&&(u.id=`_${u.id}`)})}));const m=s.update;s.update=function(v,u){return m==null||m.call(this,v,u),s.state.currentGroup===s.groups.idle&&U.update(r,u),!0},s.on("motionStart",(v,u)=>{ee.value={group:v,index:u}}),b.value&&await O.setItem("live2dModel",b.value),M.value=!1}async function te(){if(!t.value)return;F.registerTicker($),C.add(Y),C.add(de);const a=await O.getItem("live2dModel");if(a){b.value=a,S.value="file",M.value=!0;return}if(k.value){S.value="url",M.value=!0;return}M.value=!1}async function le(a,r){await e.value.motion(a,r,ce.FORCE)}const oe=Me(()=>{e.value&&(e.value.x=l.width/2,e.value.y=l.height,D(e))},100),A=h(),w=h(0);function x(){if(e.value){const a=getComputedStyle(A.value).backgroundColor;I.value.color=Number(Ce(a).replace("#","0x")),e.value.filters=[I.value]}}p([()=>l.width,()=>l.height],()=>oe()),p(P,x,{immediate:!0}),p([e,Z],x);function E(){x(),w.value=requestAnimationFrame(E)}return p(_,()=>{_.value?w.value=requestAnimationFrame(E):(cancelAnimationFrame(w.value),w.value=0)},{immediate:!0}),p(y,a=>W().setParameterValueById("ParamMouthOpenY",a)),p(t,te),p(J,a=>le(a.group,a.index)),p(d,a=>{var r,f;a?(r=t.value)==null||r.stop():(f=t.value)==null||f.start()}),we(M,a=>{a&&ae()},{debounce:1e3}),N(x),X(()=>{var a;cancelAnimationFrame(w.value),e.value&&((a=t.value)==null||a.stage.removeChild(e.value))}),(a,r)=>(q(),j(ye,null,[be("div",{ref_key:"dropShadowColorComputer",ref:A,hidden:"",bg:"primary-400 dark:primary-500"},null,512),Q(a.$slots,"default")],64))}});export{_e as _,ke as a,H as r};
+import{n as C,T as Y,A as re,L as F,o as $,r as ue,D as se,I as de,m as O,M as ce,p as R}from"./live2d-zip-loader-DFrBymqv.js";import{bO as ve,d as G,g as h,w as p,l as N,H as X,c as j,o as q,m as Q,br as T,h as z,bC as pe,i as he,G as fe,s as me,v as ge,bP as Me,bQ as we,bx as ye,a as be,p as Se}from"./index-CL4rmUJ-.js";const xe=o=>Math.max(0,Math.min(1,o||0)),B=o=>Math.round(xe(o)*255),Pe=ve("rgb"),Be=o=>{if(o===void 0)return;let l=B(o.r),t=B(o.g),d=B(o.b);return"#"+(1<<24|l<<16|t<<8|d).toString(16).slice(1)},Ce=o=>Be(Pe(o)),ke=G({__name:"Canvas",props:{width:null,height:null},setup(o,{expose:l}){const t=o,d=h(),e=h(),i=h();async function c(n){F.registerTicker($),C.add(Y),e.value=new re({width:t.width,height:t.height,backgroundAlpha:0,preserveDrawingBuffer:!0}),i.value=e.value.view,i.value.style.objectFit="contain",n.appendChild(e.value.view)}function y(){var n;e.value&&e.value.renderer.resize(t.width,t.height),(n=e.value)!=null&&n.view&&(e.value.view.width=t.width,e.value.view.height=t.height)}p([()=>t.width,()=>t.height],()=>y()),N(async()=>d.value&&await c(d.value)),X(()=>{var n;return(n=e.value)==null?void 0:n.destroy()});async function P(){return new Promise(g=>{if(!i.value||!e.value)return g(null);e.value.render(),i.value.toBlob(g)})}return l({captureFrame:P}),(n,g)=>(q(),j("div",{ref_key:"containerRef",ref:d,"h-full":"","w-full":""},[Q(n.$slots,"default",{app:e.value})],512))}});function V(o,l,t){return(1-t)*o+t*l}function H(o,l){return o+Math.random()*(l-o)}function Fe(){let o=-1,l,t=-1;function d(e,i){(i>=o||i<t)&&(l=[H(-1,1),H(-1,.7)],t=i,o=i+ue()/1e3,e.focusController.focus(l[0]*.5,l[1]*.5,!1)),e.focusController.update(i-t);const c=e.coreModel;c.setParameterValueById("ParamEyeBallX",V(c.getParameterValueById("ParamEyeBallX"),l[0],.3)),c.setParameterValueById("ParamEyeBallY",V(c.getParameterValueById("ParamEyeBallY"),l[1],.3))}return{update:d}}const _e=G({__name:"Model",props:{app:null,mouthOpenSize:{default:0},width:null,height:null,paused:{type:Boolean}},setup(o){const l=o,t=T(()=>l.app),d=T(()=>l.paused),e=h(),i=h(0),c=h(0),y=z(()=>Math.max(0,Math.min(100,l.mouthOpenSize))),P=pe(),n=he(Se),g=z(()=>n.between("sm","md").value||n.smaller("sm").value),U=Fe(),I=fe(new se({alpha:.2,blur:0,distance:20,rotation:45}));function W(){return e.value.internalModel.coreModel}function D(a){if(!a.value)return;let r=2.2;g.value&&(r=2.2);const f=l.height*.95/c.value*r,s=l.width*.95/i.value*r,m=Math.min(f,s);a.value.scale.set(m,m)}const{live2dModelFile:b,loadingLive2dModel:M,live2dCurrentMotion:J,availableLive2dMotions:K,live2dLoadSource:S,live2dModelUrl:k,themeColorsHue:Z,themeColorsHueDynamic:_}=me(ge()),ee=h({group:"Idle",index:0});async function ae(){var L;if(!t.value)return;e.value&&(t.value.stage.removeChild(e.value),e.value.destroy(),e.value=void 0);const a=new F;S.value==="file"?await R.setupLive2DModel(a,[b.value]):S.value==="url"&&await R.setupLive2DModel(a,k.value),e.value=a,t.value.stage.addChild(e.value),i.value=e.value.width,c.value=e.value.height,e.value.x=l.width/2,e.value.y=l.height,e.value.rotation=Math.PI,e.value.skew.x=Math.PI,e.value.anchor.set(.5,.5),D(e),e.value.on("hit",v=>{e.value&&v.includes("body")&&e.value.motion("tap_body")});const r=e.value.internalModel,f=r.coreModel,s=r.motionManager;f.setParameterValueById("ParamMouthOpenY",y.value),K.value=Object.entries(s.definitions).flatMap(([v,u])=>u?u.map((ie,ne)=>({motionName:v,motionIndex:ne,fileName:ie.File})):[]).filter(Boolean),s.groups.idle&&((L=s.motionGroups[s.groups.idle])==null||L.forEach(v=>{v._motionData.curves.forEach(u=>{(u.id==="ParamEyeBallX"||u.id==="ParamEyeBallY")&&(u.id=`_${u.id}`)})}));const m=s.update;s.update=function(v,u){return m==null||m.call(this,v,u),s.state.currentGroup===s.groups.idle&&U.update(r,u),!0},s.on("motionStart",(v,u)=>{ee.value={group:v,index:u}}),b.value&&await O.setItem("live2dModel",b.value),M.value=!1}async function te(){if(!t.value)return;F.registerTicker($),C.add(Y),C.add(de);const a=await O.getItem("live2dModel");if(a){b.value=a,S.value="file",M.value=!0;return}if(k.value){S.value="url",M.value=!0;return}M.value=!1}async function le(a,r){await e.value.motion(a,r,ce.FORCE)}const oe=Me(()=>{e.value&&(e.value.x=l.width/2,e.value.y=l.height,D(e))},100),A=h(),w=h(0);function x(){if(e.value){const a=getComputedStyle(A.value).backgroundColor;I.value.color=Number(Ce(a).replace("#","0x")),e.value.filters=[I.value]}}p([()=>l.width,()=>l.height],()=>oe()),p(P,x,{immediate:!0}),p([e,Z],x);function E(){x(),w.value=requestAnimationFrame(E)}return p(_,()=>{_.value?w.value=requestAnimationFrame(E):(cancelAnimationFrame(w.value),w.value=0)},{immediate:!0}),p(y,a=>W().setParameterValueById("ParamMouthOpenY",a)),p(t,te),p(J,a=>le(a.group,a.index)),p(d,a=>{var r,f;a?(r=t.value)==null||r.stop():(f=t.value)==null||f.start()}),we(M,a=>{a&&ae()},{debounce:1e3}),N(x),X(()=>{var a;cancelAnimationFrame(w.value),e.value&&((a=t.value)==null||a.stage.removeChild(e.value))}),(a,r)=>(q(),j(ye,null,[be("div",{ref_key:"dropShadowColorComputer",ref:A,hidden:"",bg:"primary-400 dark:primary-500"},null,512),Q(a.$slots,"default")],64))}});export{_e as _,ke as a,H as r};
diff --git a/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js b/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js
similarity index 84%
rename from assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js
rename to assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js
index 27b32eae6182b94472ce009c911b41ac1e6c0748..b81a5e40c502e2a25d6ad2fb4f4cc3bb1467add1 100644
--- a/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js
+++ b/assets/ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js
@@ -1 +1 @@
-import{_ as i}from"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import{d as n,bK as t,q as u,bL as p,h as m,x as c,o as f,e as b}from"./index-BYewP6KR.js";const y=n({__name:"ProviderApiKeyInput",props:t({providerName:null,placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,{t:a}=u(),o=p(e,"modelValue"),d=m(()=>l.description||`API Key for ${l.providerName}`);return(v,r)=>(f(),c(i,{modelValue:o.value,"onUpdate:modelValue":r[0]||(r[0]=s=>o.value=s),label:e.label||b(a)("settings.pages.providers.common.fields.field.api-key.label"),description:d.value,placeholder:e.placeholder,required:e.required,type:"password"},null,8,["modelValue","label","description","placeholder","required"]))}});export{y as _};
+import{_ as i}from"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import{d as n,bK as t,q as u,bL as p,h as m,x as c,o as f,e as b}from"./index-CL4rmUJ-.js";const y=n({__name:"ProviderApiKeyInput",props:t({providerName:null,placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const l=e,{t:a}=u(),o=p(e,"modelValue"),d=m(()=>l.description||`API Key for ${l.providerName}`);return(v,r)=>(f(),c(i,{modelValue:o.value,"onUpdate:modelValue":r[0]||(r[0]=s=>o.value=s),label:e.label||b(a)("settings.pages.providers.common.fields.field.api-key.label"),description:d.value,placeholder:e.placeholder,required:e.required,type:"password"},null,8,["modelValue","label","description","placeholder","required"]))}});export{y as _};
diff --git a/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js b/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js
similarity index 88%
rename from assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js
rename to assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js
index 81d5b217d842c7ea7fe2f6a2cbc8e457a60922ff..957e34d783ad0cb22cda935ed9e2fe6116733f21 100644
--- a/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js
+++ b/assets/ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js
@@ -1 +1 @@
-import{_ as p}from"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import{d,g as m,x as u,o as c,y as n,a as e,m as f,D as _,z as v,bK as b,bL as g}from"./index-BYewP6KR.js";import{_ as V}from"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";const x=["onClick"],h={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},y={"mt-4":""},q=d({__name:"ProviderAdvancedSettings",props:{title:null,initialVisible:{type:Boolean}},setup(l){const a=m(l.initialVisible||!1);function r(){a.value=!a.value}return(o,i)=>(c(),u(p,{"w-full":""},{trigger:n(s=>[e("button",{transition:"all ease-in-out duration-250","w-full":"",flex:"","items-center":"","gap-1.5":"","outline-none":"",class:"[&_.provider-icon]:grayscale-100 [&_.provider-icon]:hover:grayscale-0",onClick:()=>s.setVisible(!s.visible)&&r()},[e("h2",h,[e("span",null,_(l.title||"Advanced"),1)]),e("div",{transform:"",transition:"transform duration-250",class:v({"rotate-180":s.visible})},i[0]||(i[0]=[e("div",{"i-solar:alt-arrow-down-bold-duotone":""},null,-1)]),2)],8,x)]),default:n(()=>[e("div",y,[f(o.$slots,"default")])]),_:3}))}}),w=d({__name:"ProviderBaseUrlInput",props:b({placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(l){const t=l,a=g(l,"modelValue");return(r,o)=>(c(),u(V,{modelValue:a.value,"onUpdate:modelValue":o[0]||(o[0]=i=>a.value=i),label:t.label||"Base URL",description:t.description||"Custom base URL (optional)",placeholder:t.placeholder,required:t.required,type:"text"},null,8,["modelValue","label","description","placeholder","required"]))}});export{q as _,w as a};
+import{_ as p}from"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import{d,g as m,x as u,o as c,y as n,a as e,m as f,D as _,z as v,bK as b,bL as g}from"./index-CL4rmUJ-.js";import{_ as V}from"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";const x=["onClick"],h={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},y={"mt-4":""},q=d({__name:"ProviderAdvancedSettings",props:{title:null,initialVisible:{type:Boolean}},setup(l){const a=m(l.initialVisible||!1);function r(){a.value=!a.value}return(o,i)=>(c(),u(p,{"w-full":""},{trigger:n(s=>[e("button",{transition:"all ease-in-out duration-250","w-full":"",flex:"","items-center":"","gap-1.5":"","outline-none":"",class:"[&_.provider-icon]:grayscale-100 [&_.provider-icon]:hover:grayscale-0",onClick:()=>s.setVisible(!s.visible)&&r()},[e("h2",h,[e("span",null,_(l.title||"Advanced"),1)]),e("div",{transform:"",transition:"transform duration-250",class:v({"rotate-180":s.visible})},i[0]||(i[0]=[e("div",{"i-solar:alt-arrow-down-bold-duotone":""},null,-1)]),2)],8,x)]),default:n(()=>[e("div",y,[f(o.$slots,"default")])]),_:3}))}}),w=d({__name:"ProviderBaseUrlInput",props:b({placeholder:null,required:{type:Boolean},label:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(l){const t=l,a=g(l,"modelValue");return(r,o)=>(c(),u(V,{modelValue:a.value,"onUpdate:modelValue":o[0]||(o[0]=i=>a.value=i),label:t.label||"Base URL",description:t.description||"Custom base URL (optional)",placeholder:t.placeholder,required:t.required,type:"text"},null,8,["modelValue","label","description","placeholder","required"]))}});export{q as _,w as a};
diff --git a/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js b/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js
similarity index 94%
rename from assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js
rename to assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js
index 9ea750d064bbb02b929bb72fb7d3faf34f405a38..c4e88b235d49d640e83f51525c8403974536c63e 100644
--- a/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js
+++ b/assets/ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js
@@ -1 +1 @@
-import{d as o,c as s,o as a,a as e,m as i,C as u,D as l}from"./index-BYewP6KR.js";const c={flex:"~ col gap-6"},x={flex:"~ row","items-center":"","justify-between":""},f={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},m={text:"neutral-400 dark:neutral-500"},g=o({__name:"ProviderBasicSettings",props:{title:null,description:null,onReset:{type:Function}},setup(t){return(r,n)=>(a(),s("div",c,[e("div",x,[e("div",null,[e("h2",f,l(t.title||"Basic"),1),e("div",m,[e("span",null,l(t.description||"Essential settings"),1)])]),t.onReset?(a(),s("button",{key:0,title:"Reset settings",flex:"","items-center":"","justify-center":"","rounded-full":"","p-2":"",transition:"all duration-250 ease-in-out",text:"neutral-500 dark:neutral-400",bg:"transparent dark:transparent hover:neutral-200 dark:hover:neutral-800 active:neutral-300 dark:active:neutral-700",onClick:n[0]||(n[0]=(...d)=>t.onReset&&t.onReset(...d))},n[1]||(n[1]=[e("div",{"i-solar:refresh-bold-duotone":"","text-xl":""},null,-1)]))):u("",!0)]),i(r.$slots,"default")]))}}),p={bg:"neutral-50 dark:[rgba(0,0,0,0.3)]","rounded-xl":"","p-4":"",flex:"~ col gap-6"},k=o({__name:"ProviderSettingsContainer",setup(t){return(r,n)=>(a(),s("div",p,[i(r.$slots,"default")]))}});export{k as _,g as a};
+import{d as o,c as s,o as a,a as e,m as i,C as u,D as l}from"./index-CL4rmUJ-.js";const c={flex:"~ col gap-6"},x={flex:"~ row","items-center":"","justify-between":""},f={class:"text-lg text-neutral-500 md:text-2xl dark:text-neutral-400"},m={text:"neutral-400 dark:neutral-500"},g=o({__name:"ProviderBasicSettings",props:{title:null,description:null,onReset:{type:Function}},setup(t){return(r,n)=>(a(),s("div",c,[e("div",x,[e("div",null,[e("h2",f,l(t.title||"Basic"),1),e("div",m,[e("span",null,l(t.description||"Essential settings"),1)])]),t.onReset?(a(),s("button",{key:0,title:"Reset settings",flex:"","items-center":"","justify-center":"","rounded-full":"","p-2":"",transition:"all duration-250 ease-in-out",text:"neutral-500 dark:neutral-400",bg:"transparent dark:transparent hover:neutral-200 dark:hover:neutral-800 active:neutral-300 dark:active:neutral-700",onClick:n[0]||(n[0]=(...d)=>t.onReset&&t.onReset(...d))},n[1]||(n[1]=[e("div",{"i-solar:refresh-bold-duotone":"","text-xl":""},null,-1)]))):u("",!0)]),i(r.$slots,"default")]))}}),p={bg:"neutral-50 dark:[rgba(0,0,0,0.3)]","rounded-xl":"","p-4":"",flex:"~ col gap-6"},k=o({__name:"ProviderSettingsContainer",setup(t){return(r,n)=>(a(),s("div",p,[i(r.$slots,"default")]))}});export{k as _,g as a};
diff --git a/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js b/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js
similarity index 94%
rename from assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js
rename to assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js
index 3e65764f96c0f028df661e8dca73886dcf4c7e69..14079184d4b2cf0ff32193cb7808b390bd1874fa 100644
--- a/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js
+++ b/assets/ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js
@@ -1 +1 @@
-import{d as s,bw as d,c as n,o as r,A as v,m as u,a as t,D as c,z as x,bx as m}from"./index-BYewP6KR.js";const p={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},f={relative:""},k={"text-nowrap":"","text-3xl":"","font-semibold":""},y={text:"neutral-200/50 dark:neutral-600/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},w=s({__name:"ProviderSettingsLayout",props:{providerName:null,providerIcon:null,providerIconColor:null,onBack:{type:Function}},setup(o){return(a,e)=>{const i=d("motion");return r(),n(m,null,[v((r(),n("div",p,[t("button",{onClick:e[0]||(e[0]=(...l)=>o.onBack&&o.onBack(...l))},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",f,[e[2]||(e[2]=t("div",{absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},[t("span",{text:"neutral-300 dark:neutral-500","text-nowrap":""},"Provider")],-1)),t("div",k,c(o.providerName),1)])])),[[i]]),u(a.$slots,"default"),t("div",y,[t("div",{text:"40",class:x(o.providerIcon||o.providerIconColor)},null,2)])],64)}}});export{w as _};
+import{d as s,bw as d,c as n,o as r,A as v,m as u,a as t,D as c,z as x,bx as m}from"./index-CL4rmUJ-.js";const p={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},f={relative:""},k={"text-nowrap":"","text-3xl":"","font-semibold":""},y={text:"neutral-200/50 dark:neutral-600/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},w=s({__name:"ProviderSettingsLayout",props:{providerName:null,providerIcon:null,providerIconColor:null,onBack:{type:Function}},setup(o){return(a,e)=>{const i=d("motion");return r(),n(m,null,[v((r(),n("div",p,[t("button",{onClick:e[0]||(e[0]=(...l)=>o.onBack&&o.onBack(...l))},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",f,[e[2]||(e[2]=t("div",{absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},[t("span",{text:"neutral-300 dark:neutral-500","text-nowrap":""},"Provider")],-1)),t("div",k,c(o.providerName),1)])])),[[i]]),u(a.$slots,"default"),t("div",y,[t("div",{text:"40",class:x(o.providerIcon||o.providerIconColor)},null,2)])],64)}}});export{w as _};
diff --git a/assets/RadioCardDetailManySelect-ConUGerY.js b/assets/RadioCardDetailManySelect-Cc_QkuwQ.js
similarity index 98%
rename from assets/RadioCardDetailManySelect-ConUGerY.js
rename to assets/RadioCardDetailManySelect-Cc_QkuwQ.js
index 2b2e3712bad77e0c5bdc2ccd64e7e17f6b98c339..7749be3c73289b695cfa5d87b2bd203ca2fd46a7 100644
--- a/assets/RadioCardDetailManySelect-ConUGerY.js
+++ b/assets/RadioCardDetailManySelect-Cc_QkuwQ.js
@@ -1 +1 @@
-import{d as g,bK as f,bL as w,g as b,c as n,o as d,z as o,A as V,a as t,bA as B,C as v,D as c,b as $,y as M,bJ as k,bn as C,h as S,bF as T,bx as z,by as D,x as E}from"./index-BYewP6KR.js";import{_ as N}from"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import{_ as L}from"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const P=["checked","name","value"],U={class:"relative mr-3 mt-0.5 flex-shrink-0"},q={class:"w-full flex flex-col gap-2"},j={class:"flex items-center"},A={key:0,class:"relative"},F=["title"],J={key:1,class:"mt-2"},K=g({__name:"RadioCardDetail",props:f({id:null,name:null,value:null,title:null,description:null,deprecated:{type:Boolean,default:!1},showExpandCollapse:{type:Boolean,default:!0},expandCollapseThreshold:{default:100},customInputValue:{default:""},customInputPlaceholder:{default:""},showCustomInput:{type:Boolean,default:!1}},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const a=w(e,"modelValue"),m=b(!1);function s(){m.value=!m.value}return(x,r)=>(d(),n("label",{key:e.id,class:o(["form_radio-card-detail relative flex cursor-pointer items-start rounded-xl p-3 pr-[20px]",[a.value===e.value?"bg-primary-50 dark:bg-primary-900/20 border-primary-100 dark:border-primary-900 hover:border-primary-500/30 dark:hover:border-primary-400/30":"bg-white dark:bg-neutral-900/20 border-neutral-100 dark:border-neutral-900 hover:border-primary-500/30 dark:hover:border-primary-400/30",a.value===e.value?"form_radio-card-detail-active":"",e.deprecated?"opacity-60":""]]),transition:"all duration-200 ease-in-out",border:"2 solid"},[V(t("input",{"onUpdate:modelValue":r[0]||(r[0]=i=>a.value=i),checked:a.value===e.value,type:"radio",name:e.name,value:e.value,class:"absolute opacity-0"},null,8,P),[[B,a.value]]),t("div",U,[t("div",{class:o(["size-5 border-2 rounded-full transition-colors duration-200",[a.value===e.value?"border-primary-500 dark:border-primary-400":"border-neutral-300 dark:border-neutral-600"]])},[t("div",{class:o(["absolute left-1/2 top-1/2 size-3 rounded-full transition-opacity duration-200 -translate-x-1/2 -translate-y-1/2",[a.value===e.value?"opacity-100 bg-primary-500 dark:bg-primary-400":"opacity-0"]])},null,2)],2)]),t("div",q,[t("div",j,[t("span",{class:o(["line-clamp-1 font-medium",[a.value===e.value?"text-neutral-700 dark:text-neutral-300":"text-neutral-700 dark:text-neutral-400"]])},c(e.title),3)]),e.description?(d(),n("div",A,[$(N,null,{default:M(()=>[!m.value||!e.showExpandCollapse?(d(),n("div",{key:0,class:o(["line-clamp-2 cursor-pointer text-xs",[a.value===e.value?"text-neutral-600 dark:text-neutral-400":"text-neutral-500 dark:text-neutral-500"]]),title:e.description,onClick:k(s,["prevent"])},c(e.description),11,F)):(d(),n("div",{key:1,class:o(["cursor-pointer text-xs",[a.value===e.value?"text-neutral-600 dark:text-neutral-400":"text-neutral-500 dark:text-neutral-500"]]),onClick:k(s,["prevent"])},c(e.description),3))]),_:1}),e.showExpandCollapse&&e.description.length>e.expandCollapseThreshold?(d(),n("button",{key:0,class:"text-primary-500 dark:text-primary-600 mt-0.5 inline-flex items-center text-xs",onClick:k(s,["prevent"])},[t("span",null,c(m.value?"Show less":"Show more"),1),t("div",{class:o([{"rotate-180":m.value},"transition-transform duration-200"])},r[2]||(r[2]=[t("div",{"i-solar:alt-arrow-down-bold-duotone":"","ml-0.5":"","text-xs":""},null,-1)]),2)])):v("",!0)])):v("",!0),e.showCustomInput&&a.value===e.value?(d(),n("div",J,[$(L,{modelValue:a.value,"onUpdate:modelValue":r[1]||(r[1]=i=>a.value=i),type:"text",class:"w-full border border-neutral-300 rounded bg-white px-2 py-1 text-sm dark:border-neutral-700 dark:bg-neutral-900",placeholder:e.customInputPlaceholder},null,8,["modelValue","placeholder"])])):v("",!0)])],2))}}),Q=C(K,[["__scopeId","data-v-c9195151"]]),G=["checked","name","value"],H={flex:"~ col","min-h-16":"","w-full":"","items-start":"","justify-center":"","pb-2":"","pl-5":"","pr-4":"","pt-2":""},O=g({__name:"RadioCardSimple",props:f({id:null,name:null,value:null,title:null,description:null},{modelValue:{required:!0},modelModifiers:{}}),emits:["update:modelValue"],setup(e){const a=w(e,"modelValue");return(m,s)=>(d(),n("label",{key:e.id,border:"2px solid",class:o(["form_radio-card-simple relative",[a.value===e.value?"bg-primary-50 dark:bg-primary-900/20 border-primary-100 dark:border-primary-900 hover:border-primary-500/30 dark:hover:border-primary-400/30":"bg-white dark:bg-neutral-900/20 border-neutral-100 dark:border-neutral-900 hover:border-primary-500/30 dark:hover:border-primary-400/30",a.value===e.value?"form_radio-card-simple-active":""]]),transition:"all duration-200 ease-in-out",flex:"~ col",block:"","min-w-50":"","w-fit":"","cursor-pointer":"","items-start":"","rounded-xl":"","p-4":"","text-left":""},[V(t("input",{"onUpdate:modelValue":s[0]||(s[0]=x=>a.value=x),checked:a.value===e.value,type:"radio",name:e.name,value:e.value,class:"[&:checked+div]:border-primary-500 dark:[&:checked+div]:border-primary-400 absolute opacity-0 [&:checked+div_.radio-dot]:opacity-100"},null,8,G),[[B,a.value]]),s[1]||(s[1]=t("div",{class:"radio-circle absolute left-2 top-2 size-5 rounded-full",border:"2 solid neutral-300 dark:neutral-600",transition:"all duration-200 ease-in-out"},[t("div",{class:"radio-dot absolute left-1/2 top-1/2 size-3 rounded-full opacity-0 -translate-x-1/2 -translate-y-1/2",transition:"all duration-200 ease-in-out",bg:"primary-500 dark:primary-400"})],-1)),t("div",H,[t("span",{class:o(["radio-item-name font-bold",[a.value===e.value?"text-neutral-700 dark:text-neutral-300":"text-neutral-500 dark:text-neutral-500"]]),text:"md",transition:"all duration-200 ease-in-out"},c(e.title),3),e.description?(d(),n("span",{key:0,class:o(["radio-item-description",[a.value===e.value?"text-neutral-600 dark:text-neutral-400":"text-neutral-400 dark:text-neutral-600"]]),transition:"all duration-200 ease-in-out"},c(e.description),3)):v("",!0)]),s[2]||(s[2]=t("div",{class:"bg-dotted-neutral-200/80 dark:bg-dotted-neutral-700/50 [input:checked~&]:bg-dotted-primary-300/50 dark:[input:checked~&]:bg-dotted-primary-200/20",absolute:"","inset-0":"","z--1":"",style:{"background-size":"10px 10px","mask-image":"linear-gradient(165deg, white 30%, transparent 50%)"}},null,-1))],2))}}),ie=C(O,[["__scopeId","data-v-dd41bc0b"]]),W={class:"radio-card-detail-many-select"},X={key:0,class:"relative","inline-flex":"~","w-full":"","items-center":""},Y=["placeholder"],Z={class:"mt-4 space-y-2"},_={key:0,class:"text-sm text-neutral-500 dark:text-neutral-400"},ee={key:1,class:"flex items-center gap-3 border border-2 border-amber-200 rounded-xl bg-amber-50 p-4 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m.items.filter(l=>l.name.toLowerCase().includes(p)||l.description&&l.description.toLowerCase().includes(p))});function I(p){R.value=p,s("update:customValue",p)}return(p,l)=>(d(),n("div",W,[e.searchable?(d(),n("div",X,[l[4]||(l[4]=t("div",{class:"pointer-events-none absolute inset-y-0 left-0 flex items-center pl-3"},[t("div",{"i-solar:magnifer-line-duotone":"",class:"text-neutral-500 dark:text-neutral-400"})],-1)),V(t("input",{"onUpdate:modelValue":l[0]||(l[0]=u=>r.value=u),type:"search",class:"w-full rounded-xl p-2.5 pl-10 text-sm outline-none",border:"focus:primary-100 dark:focus:primary-400/50 2 solid neutral-200 dark:neutral-800",transition:"all duration-200 ease-in-out",bg:"white 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diff --git a/assets/SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-lVYyoUny.js b/assets/SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-8IXQG3Jk.js
similarity index 96%
rename from assets/SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-lVYyoUny.js
rename to assets/SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-8IXQG3Jk.js
index 14d3521b66a6994d6492e6c948d0bb7560e7ee5f..435fd814d602381791639aadbeb18ce128df3eb1 100644
--- a/assets/SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-lVYyoUny.js
+++ b/assets/SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-8IXQG3Jk.js
@@ -1 +1 @@
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diff --git a/assets/TestDummyMarker.vue_vue_type_script_setup_true_lang-CGhOEjXF.js b/assets/TestDummyMarker.vue_vue_type_script_setup_true_lang-CGhOEjXF.js
deleted file mode 100644
index 9193266455b19a68269402727c44ecff34005cd6..0000000000000000000000000000000000000000
--- a/assets/TestDummyMarker.vue_vue_type_script_setup_true_lang-CGhOEjXF.js
+++ /dev/null
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diff --git a/assets/TestDummyMarker.vue_vue_type_script_setup_true_lang-D5aCIkT4.js b/assets/TestDummyMarker.vue_vue_type_script_setup_true_lang-D5aCIkT4.js
new file mode 100644
index 0000000000000000000000000000000000000000..7b059ed39709c5572b2c582422eed812c219644b
--- /dev/null
+++ b/assets/TestDummyMarker.vue_vue_type_script_setup_true_lang-D5aCIkT4.js
@@ -0,0 +1 @@
+import{bx as P,d as m,c2 as I,bV as V,c3 as D,b$ as E,x as y,o as c,y as _,m as k,e as d,b_ as N,cc as L,g as $,h,cd as M,bX as z,ce as U,w as H,c as g,by as K,E as X,cf as G,C as W,cg as Y,bJ as J,bL as C,b as w,bK as B,a as v,D as x,l as R,A as Q,bF as Z,bn as j,n as A,br as S,H as ee}from"./index-CL4rmUJ-.js";function O(t){return t?t.flatMap(e=>e.type===P?O(e.children):[e]):[]}const te=m({name:"PrimitiveSlot",inheritAttrs:!1,setup(t,{attrs:e,slots:n}){return()=>{var p,f;if(!n.default)return null;const o=O(n.default()),l=o.findIndex(i=>i.type!==I);if(l===-1)return o;const r=o[l];(p=r.props)==null||delete p.ref;const a=r.props?V(e,r.props):e;e.class&&((f=r.props)!=null&&f.class)&&delete r.props.class;const u=D(r,a);for(const i in a)i.startsWith("on")&&(u.props||(u.props={}),u.props[i]=a[i]);return o.length===1?u:(o[l]=u,o)}}}),ae=["area","img","input"],q=m({name:"Primitive",inheritAttrs:!1,props:{asChild:{type:Boolean,default:!1},as:{type:[String,Object],default:"div"}},setup(t,{attrs:e,slots:n}){const o=t.asChild?"template":t.as;return typeof o=="string"&&ae.includes(o)?()=>E(o,e):o!=="template"?()=>E(t.as,e,{default:n.default}):()=>E(te,e,{default:n.default})}}),ne=m({__name:"VisuallyHidden",props:{feature:{default:"focusable"},asChild:{type:Boolean},as:{default:"span"}},setup(t){return(e,n)=>(c(),y(d(q),{as:e.as,"as-child":e.asChild,"aria-hidden":e.feature==="focusable"?"true":void 0,"data-hidden":e.feature==="fully-hidden"?"":void 0,tabindex:e.feature==="fully-hidden"?"-1":void 0,style:{position:"absolute",border:0,width:"1px",height:"1px",padding:0,margin:"-1px",overflow:"hidden",clip:"rect(0, 0, 0, 0)",clipPath:"inset(50%)",whiteSpace:"nowrap",wordWrap:"normal"}},{default:_(()=>[k(e.$slots,"default")]),_:3},8,["as","as-child","aria-hidden","data-hidden","tabindex"]))}});function le(t,e){const n=`${t}Context`,o=Symbol(n);return[a=>{const u=N(o,a);if(u||u===null)return u;throw new Error(`Injection \`${o.toString()}\` not found. 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diff --git a/assets/TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js b/assets/TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js
similarity index 93%
rename from assets/TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js
rename to assets/TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js
index f8b790b96e90fc6c1062c81457eb30887c2a4b19..4a7fda2aa40a4299cb0d4d983c87f48628901cc5 100644
--- a/assets/TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js
+++ b/assets/TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js
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+import{d as m,x as T,o as l,bB as B,y as b,m as v}from"./index-CL4rmUJ-.js";const n="0px",W=m({__name:"TransitionVertical",props:{duration:{default:250},easingEnter:{default:"ease-in-out"},easingLeave:{default:"ease-in-out"},opacityClosed:{default:0},opacityOpened:{default:1}},setup(c){const r=c;function p(o){return{height:o.style.height,width:o.style.width,position:o.style.position,visibility:o.style.visibility,overflow:o.style.overflow,paddingTop:o.style.paddingTop,paddingBottom:o.style.paddingBottom,borderTopWidth:o.style.borderTopWidth,borderBottomWidth:o.style.borderBottomWidth,marginTop:o.style.marginTop,marginBottom:o.style.marginBottom}}function y(o,t){const{width:i}=getComputedStyle(o);o.style.width=i,o.style.position="absolute",o.style.visibility="hidden",o.style.height="";const{height:s}=getComputedStyle(o);return o.style.width=t.width,o.style.position=t.position,o.style.visibility=t.visibility,o.style.height=n,o.style.overflow="hidden",t.height&&t.height!==n?t.height:s}function h(o,t,i,s,d){const e=o.animate(s,d);o.style.height=t.height,e.onfinish=()=>{o.style.overflow=t.overflow,i()}}function g(o,t){return[{height:n,opacity:r.opacityClosed,paddingTop:n,paddingBottom:n,borderTopWidth:n,borderBottomWidth:n,marginTop:n,marginBottom:n},{height:o,opacity:r.opacityOpened,paddingTop:t.paddingTop,paddingBottom:t.paddingBottom,borderTopWidth:t.borderTopWidth,borderBottomWidth:t.borderBottomWidth,marginTop:t.marginTop,marginBottom:t.marginBottom}]}function u(o,t){const i=o,s=p(i),d=y(i,s),e=g(d,s),a={duration:r.duration,easing:r.easingEnter};h(i,s,t,e,a)}function f(o,t){const i=o,s=p(i),{height:d}=getComputedStyle(i);i.style.height=d,i.style.overflow="hidden";const e=g(d,s).reverse(),a={duration:r.duration,easing:r.easingLeave};h(i,s,t,e,a)}return(o,t)=>(l(),T(B,{css:!1,onEnter:u,onLeave:f},{default:b(()=>[v(o.$slots,"default")]),_:3}))}});export{W as _};
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similarity index 64%
rename from assets/_...all_-8bDQaOJn.js
rename to assets/_...all_-CSvu3bhX.js
index 914e3a92e0252ef637b71b3ee764a8b527042186..d8fa9ef8b7fd80c94d37e36a4cd26d1de08ece3e 100644
--- a/assets/_...all_-8bDQaOJn.js
+++ b/assets/_...all_-CSvu3bhX.js
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+import{bn as e,c as n,o as c}from"./index-CL4rmUJ-.js";const o={};function _(t,r){return c(),n("div",null," 404 - Page not found ")}const s=e(o,[["render",_]]);export{s as default};
diff --git a/assets/airi-card-BM-9G8yH.js b/assets/airi-card-CWMQJScT.js
similarity index 94%
rename from assets/airi-card-BM-9G8yH.js
rename to assets/airi-card-CWMQJScT.js
index 950c1bdf8147a0e899726e702e1259b17522460f..0e659311096fa0fbee170e90cec778de48de212a 100644
--- a/assets/airi-card-BM-9G8yH.js
+++ b/assets/airi-card-CWMQJScT.js
@@ -1,4 +1,4 @@
-import{f as $,bI as L,h as g,s as O,l as b,q,w as D}from"./index-BYewP6KR.js";import{j as G}from"./live2d-zip-loader-CvpgOHsT.js";import{u as H}from"./consciousness-MUz60a06.js";import{u as N}from"./speech-CLmksxkl.js";function k(a,u){return{role:"system",content:[a,G.map(n=>`- ${n}`).join(`
+import{f as $,bI as L,h as g,s as O,l as b,q,w as D}from"./index-CL4rmUJ-.js";import{j as G}from"./live2d-zip-loader-DFrBymqv.js";import{u as H}from"./consciousness-nHboP4iV.js";import{u as N}from"./speech-Ae5ywnpY.js";function k(a,u){return{role:"system",content:[a,G.map(n=>`- ${n}`).join(`
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diff --git a/assets/anthropic-xuZL6YhP.js b/assets/anthropic-Dr4rn0dD.js
similarity index 81%
rename from assets/anthropic-xuZL6YhP.js
rename to assets/anthropic-Dr4rn0dD.js
index e1758a66f97d77b8990455a3a350b67da94c6619..4a2e54592fa907e1f234aa20f8e498083daa9b8f 100644
--- a/assets/anthropic-xuZL6YhP.js
+++ b/assets/anthropic-Dr4rn0dD.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as k,q as x,bE as S,s as U,h as v,l as w,w as V,x as C,o as K,y as u,a as i,b as l,bH as p,e as t}from"./index-BYewP6KR.js";import{u as R}from"./providers-CFIOZO6n.js";import{_ as O,a as $}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as A}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as I,a as N}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as B}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const e="anthropic",J=k({__name:"anthropic",setup(T){const{t:c}=x(),_=S(),h=R(),{providers:a}=U(h),m=v(()=>h.getProviderMetadata(e)),s=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.apiKey)||""},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].apiKey=o}}),n=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.baseUrl)||"https://api.anthropic.com/v1/"},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].baseUrl=o}});w(()=>{var o,r;a.value[e]||(a.value[e]={baseUrl:"https://api.anthropic.com/v1/"}),s.value=((o=a.value[e])==null?void 0:o.apiKey)||"",n.value=((r=a.value[e])==null?void 0:r.baseUrl)||"https://api.anthropic.com/v1/"}),V([s,n],()=>{a.value[e]={...a.value[e],apiKey:s.value,baseUrl:n.value||"https://api.anthropic.com/v1/"}});function g(){a.value[e]={baseUrl:"https://api.anthropic.com/v1/"}}return(o,r)=>{var f,b;return K(),C(t(B),{"provider-name":((f=m.value)==null?void 0:f.localizedName)||"Anthropic | Claude","provider-icon":(b=m.value)==null?void 0:b.icon,"on-back":()=>t(_).back()},{default:u(()=>[r[2]||(r[2]=i("div",{bg:"orange-50 dark:orange-900/20","rounded-xl":"","p-4":"",flex:"~ col gap-3"},[i("h2",{"text-xl":"","font-bold":"",text:"orange-700 dark:orange-500"}," Before you start "),i("p",null,[p(" While Anthropic recently did announce that they are having a beta support for OpenAI SDK compatibility "),i("a",{underline:"",href:"https://docs.anthropic.com/en/api/openai-sdk"},"(you can read more here)"),p(", but due to the implementation details comes with "),i("a",{underline:"",href:"https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides/CORS"},"CORS"),p(" restrictions which not aligned with the OpenAI SDK, it's currently not possible to use this provider in the browser. ")]),i("p",null,[p(" If you do need to use this provider, you will need a dedicated proxy backend like a Serverless Function running on "),i("a",{underline:"",href:"https://workers.cloudflare.com/"},"Cloudflare Workers"),p(" or some CORS bypassing services to bypass the CORS restrictions. ")])],-1)),l(t(I),null,{default:u(()=>[l(t(N),{title:t(c)("settings.pages.providers.common.section.basic.title"),description:t(c)("settings.pages.providers.common.section.basic.description"),"on-reset":g},{default:u(()=>{var d;return[l(t(A),{modelValue:s.value,"onUpdate:modelValue":r[0]||(r[0]=y=>s.value=y),"provider-name":((d=m.value)==null?void 0:d.localizedName)||"Anthropic",placeholder:"sk-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(O),{title:t(c)("settings.pages.providers.common.section.advanced.title")},{default:u(()=>[l(t($),{modelValue:n.value,"onUpdate:modelValue":r[1]||(r[1]=d=>n.value=d),placeholder:"https://api.anthropic.com/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{J as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as k,q as x,bE as S,s as U,h as v,l as w,w as V,x as C,o as K,y as u,a as i,b as l,bH as p,e as t}from"./index-CL4rmUJ-.js";import{u as R}from"./providers-BHCrT0RZ.js";import{_ as O,a as $}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as A}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as I,a as N}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as B}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const e="anthropic",J=k({__name:"anthropic",setup(T){const{t:c}=x(),_=S(),h=R(),{providers:a}=U(h),m=v(()=>h.getProviderMetadata(e)),s=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.apiKey)||""},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].apiKey=o}}),n=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.baseUrl)||"https://api.anthropic.com/v1/"},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].baseUrl=o}});w(()=>{var o,r;a.value[e]||(a.value[e]={baseUrl:"https://api.anthropic.com/v1/"}),s.value=((o=a.value[e])==null?void 0:o.apiKey)||"",n.value=((r=a.value[e])==null?void 0:r.baseUrl)||"https://api.anthropic.com/v1/"}),V([s,n],()=>{a.value[e]={...a.value[e],apiKey:s.value,baseUrl:n.value||"https://api.anthropic.com/v1/"}});function g(){a.value[e]={baseUrl:"https://api.anthropic.com/v1/"}}return(o,r)=>{var f,b;return K(),C(t(B),{"provider-name":((f=m.value)==null?void 0:f.localizedName)||"Anthropic | Claude","provider-icon":(b=m.value)==null?void 0:b.icon,"on-back":()=>t(_).back()},{default:u(()=>[r[2]||(r[2]=i("div",{bg:"orange-50 dark:orange-900/20","rounded-xl":"","p-4":"",flex:"~ col gap-3"},[i("h2",{"text-xl":"","font-bold":"",text:"orange-700 dark:orange-500"}," Before you start "),i("p",null,[p(" While Anthropic recently did announce that they are having a beta support for OpenAI SDK compatibility "),i("a",{underline:"",href:"https://docs.anthropic.com/en/api/openai-sdk"},"(you can read more here)"),p(", but due to the implementation details comes with "),i("a",{underline:"",href:"https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides/CORS"},"CORS"),p(" restrictions which not aligned with the OpenAI SDK, it's currently not possible to use this provider in the browser. ")]),i("p",null,[p(" If you do need to use this provider, you will need a dedicated proxy backend like a Serverless Function running on "),i("a",{underline:"",href:"https://workers.cloudflare.com/"},"Cloudflare Workers"),p(" or some CORS bypassing services to bypass the CORS restrictions. ")])],-1)),l(t(I),null,{default:u(()=>[l(t(N),{title:t(c)("settings.pages.providers.common.section.basic.title"),description:t(c)("settings.pages.providers.common.section.basic.description"),"on-reset":g},{default:u(()=>{var d;return[l(t(A),{modelValue:s.value,"onUpdate:modelValue":r[0]||(r[0]=y=>s.value=y),"provider-name":((d=m.value)==null?void 0:d.localizedName)||"Anthropic",placeholder:"sk-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(O),{title:t(c)("settings.pages.providers.common.section.advanced.title")},{default:u(()=>[l(t($),{modelValue:n.value,"onUpdate:modelValue":r[1]||(r[1]=d=>n.value=d),placeholder:"https://api.anthropic.com/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{J as default};
diff --git a/assets/audio-Bp2_lULR.js b/assets/audio-C8wXhwK7.js
similarity index 88%
rename from assets/audio-Bp2_lULR.js
rename to assets/audio-C8wXhwK7.js
index a24a2bc064b6952679d1d61ab7d56c99a3496ef3..bdca5a7420c96b617d4e96631ad45bfb6dc03717 100644
--- a/assets/audio-Bp2_lULR.js
+++ b/assets/audio-C8wXhwK7.js
@@ -1 +1 @@
-import{d as s,g as f,c as d,o as p,a as t}from"./index-BYewP6KR.js";const R=s({__name:"audio",setup(_){const a=f(),l=f();function u(o){var r,c,i;if(!o)return;const n=(c=(r=l.value)==null?void 0:r.files)==null?void 0:c[0];if(!n)return;const e=document.createElement("audio");(i=a.value)==null||i.appendChild(e),e.src=URL.createObjectURL(n),e.controls=!0,e.load(),e.play()}return(o,n)=>(p(),d("div",null,[t("div",null,[t("div",{ref_key:"containerRef",ref:a},null,512),t("input",{ref_key:"fileInputRef",ref:l,type:"file",onChange:u},null,544)])]))}});export{R as default};
+import{d as s,g as f,c as d,o as p,a as t}from"./index-CL4rmUJ-.js";const R=s({__name:"audio",setup(_){const a=f(),l=f();function u(o){var r,c,i;if(!o)return;const n=(c=(r=l.value)==null?void 0:r.files)==null?void 0:c[0];if(!n)return;const e=document.createElement("audio");(i=a.value)==null||i.appendChild(e),e.src=URL.createObjectURL(n),e.controls=!0,e.load(),e.play()}return(o,n)=>(p(),d("div",null,[t("div",null,[t("div",{ref_key:"containerRef",ref:a},null,512),t("input",{ref_key:"fileInputRef",ref:l,type:"file",onChange:u},null,544)])]))}});export{R as default};
diff --git a/assets/cloudflare-workers-ai-CtD2Pa0I.js b/assets/cloudflare-workers-ai-BYCqyq2S.js
similarity index 83%
rename from assets/cloudflare-workers-ai-CtD2Pa0I.js
rename to assets/cloudflare-workers-ai-BYCqyq2S.js
index 7b422f03b76d6b2e1ccbe05a2e895044149e7930..97f45bb3b33249e9eaa96015359cf9bb36418781 100644
--- a/assets/cloudflare-workers-ai-CtD2Pa0I.js
+++ b/assets/cloudflare-workers-ai-BYCqyq2S.js
@@ -1 +1 @@
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diff --git a/assets/consciousness-DZJpow8n.js b/assets/consciousness-CJCDq3tD.js
similarity index 95%
rename from assets/consciousness-DZJpow8n.js
rename to assets/consciousness-CJCDq3tD.js
index 10acca9276713721dc3c826cf2e6e2b0660d17a2..26a7d229357db1376d5cda1857624bf703695629 100644
--- a/assets/consciousness-DZJpow8n.js
+++ b/assets/consciousness-CJCDq3tD.js
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diff --git a/assets/consciousness-MUz60a06.js b/assets/consciousness-nHboP4iV.js
similarity index 90%
rename from assets/consciousness-MUz60a06.js
rename to assets/consciousness-nHboP4iV.js
index a2a9dfebda4dd621b0bd0297c4a759a698f8f73c..83ba1e4e2a0b12fafa9afade568e6ab1fa61979c 100644
--- a/assets/consciousness-MUz60a06.js
+++ b/assets/consciousness-nHboP4iV.js
@@ -1 +1 @@
-import{f as P,bI as n,g as M,h as r,w as L}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";const h=P("consciousness",()=>{const o=w(),s=n("settings/consciousness/active-provider",""),c=n("settings/consciousness/active-model",""),d=n("settings/consciousness/active-custom-model",""),l=M({}),i=M(""),m=r(()=>{var e;return((e=o.getProviderMetadata(s.value))==null?void 0:e.capabilities.listModels)!==void 0}),a=r(()=>o.getModelsForProvider(s.value)),f=r(()=>o.isLoadingModels[s.value]||!1),g=r(()=>o.modelLoadError[s.value]||null),p=r(()=>{if(!i.value.trim())return a.value;const e=i.value.toLowerCase().trim();return a.value.filter(t=>t.name.toLowerCase().includes(e)||t.id.toLowerCase().includes(e)||t.description&&t.description.toLowerCase().includes(e))});function u(){c.value="",d.value="",l.value={},i.value=""}async function v(e){var t;e&&((t=o.getProviderMetadata(s.value))==null?void 0:t.capabilities.listModels)!==void 0&&o.getModelsForProvider(e).length===0&&await o.fetchModelsForProvider(e)}return L(s,async e=>{await v(e),u()}),{activeProvider:s,activeModel:c,customModelName:d,expandedDescriptions:l,modelSearchQuery:i,supportsModelListing:m,providerModels:a,isLoadingActiveProviderModels:f,activeProviderModelError:g,filteredModels:p,resetModelSelection:u,loadModelsForProvider:v}});export{h as u};
+import{f as P,bI as n,g as M,h as r,w as L}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";const h=P("consciousness",()=>{const o=w(),s=n("settings/consciousness/active-provider",""),c=n("settings/consciousness/active-model",""),d=n("settings/consciousness/active-custom-model",""),l=M({}),i=M(""),m=r(()=>{var e;return((e=o.getProviderMetadata(s.value))==null?void 0:e.capabilities.listModels)!==void 0}),a=r(()=>o.getModelsForProvider(s.value)),f=r(()=>o.isLoadingModels[s.value]||!1),g=r(()=>o.modelLoadError[s.value]||null),p=r(()=>{if(!i.value.trim())return a.value;const e=i.value.toLowerCase().trim();return a.value.filter(t=>t.name.toLowerCase().includes(e)||t.id.toLowerCase().includes(e)||t.description&&t.description.toLowerCase().includes(e))});function u(){c.value="",d.value="",l.value={},i.value=""}async function v(e){var t;e&&((t=o.getProviderMetadata(s.value))==null?void 0:t.capabilities.listModels)!==void 0&&o.getModelsForProvider(e).length===0&&await o.fetchModelsForProvider(e)}return L(s,async e=>{await v(e),u()}),{activeProvider:s,activeModel:c,customModelName:d,expandedDescriptions:l,modelSearchQuery:i,supportsModelListing:m,providerModels:a,isLoadingActiveProviderModels:f,activeProviderModelError:g,filteredModels:p,resetModelSelection:u,loadModelsForProvider:v}});export{h as u};
diff --git a/assets/deepseek-CWb6iLhX.js b/assets/deepseek-CROYIRyB.js
similarity index 67%
rename from assets/deepseek-CWb6iLhX.js
rename to assets/deepseek-CROYIRyB.js
index efe3739e2e9c061f29c132b3d9cdb95a90896b60..7abe49b7b4045656c9613a24def2f7270fed5e49 100644
--- a/assets/deepseek-CWb6iLhX.js
+++ b/assets/deepseek-CROYIRyB.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as k,q as U,bE as V,s as y,h as c,l as $,w as K,x as h,o as x,y as p,b as l,e as t}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="deepseek",H=k({__name:"deepseek",setup(S){const{t:d}=U(),_=V(),m=w(),{providers:o}=y(m),n=c(()=>m.getProviderMetadata(a)),r=c({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),i=c({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;m.initializeProvider(a),r.value=((e=o.value[a])==null?void 0:e.apiKey)||"",i.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),K([r,i],()=>{o.value[a]={...o.value[a],apiKey:r.value,baseUrl:i.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var v,f;return x(),h(t(R),{"provider-name":(v=n.value)==null?void 0:v.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[0]||(s[0]=g=>r.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"sk-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:i.value,"onUpdate:modelValue":s[1]||(s[1]=u=>i.value=u),placeholder:"https://api.deepseek.com/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as k,q as U,bE as V,s as y,h as c,l as $,w as K,x as h,o as x,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="deepseek",H=k({__name:"deepseek",setup(S){const{t:d}=U(),_=V(),m=w(),{providers:o}=y(m),n=c(()=>m.getProviderMetadata(a)),r=c({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),i=c({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;m.initializeProvider(a),r.value=((e=o.value[a])==null?void 0:e.apiKey)||"",i.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),K([r,i],()=>{o.value[a]={...o.value[a],apiKey:r.value,baseUrl:i.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var v,f;return x(),h(t(R),{"provider-name":(v=n.value)==null?void 0:v.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[0]||(s[0]=g=>r.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"sk-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:i.value,"onUpdate:modelValue":s[1]||(s[1]=u=>i.value=u),placeholder:"https://api.deepseek.com/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
diff --git a/assets/default-uUrVtnYd.js b/assets/default-BPwzNWfB.js
similarity index 89%
rename from assets/default-uUrVtnYd.js
rename to assets/default-BPwzNWfB.js
index 1b704d21db975e8cbb4376b0a1a3ebb589eef095..9cc026be2cc36bff5bd471294a4b316ae38efe76 100644
--- a/assets/default-uUrVtnYd.js
+++ b/assets/default-BPwzNWfB.js
@@ -1 +1 @@
-import{d as n,u as r,c,a,b as t,e,n as i,R as m,o as l}from"./index-BYewP6KR.js";import{H as x}from"./HeaderLink-7ZfdE9hW.js";const f={"mb-4":"","w-full":"","gap-2":"",class:"px-0 py-1 md:px-3 md:py-3"},_={class:"px-3 py-2 md:px-5 md:py-5",flex:"~ col gap-4","mx-auto":"","max-w-screen-xl":""},$=n({__name:"default",setup(u){const{top:o,right:p,bottom:s,left:d}=r();return(g,y)=>(l(),c("div",{"p-2":"",style:i({paddingTop:`${e(o)}px`,paddingRight:`${e(p)}px`,paddingBottom:`${e(s)}px`,paddingLeft:`${e(d)}px`})},[a("div",f,[t(x)]),a("div",_,[t(e(m))])],4))}});export{$ as default};
+import{d as n,u as r,c,a,b as t,e,n as i,R as m,o as l}from"./index-CL4rmUJ-.js";import{H as x}from"./HeaderLink-ByYQsQjF.js";const f={"mb-4":"","w-full":"","gap-2":"",class:"px-0 py-1 md:px-3 md:py-3"},_={class:"px-3 py-2 md:px-5 md:py-5",flex:"~ col gap-4","mx-auto":"","max-w-screen-xl":""},$=n({__name:"default",setup(u){const{top:o,right:p,bottom:s,left:d}=r();return(g,y)=>(l(),c("div",{"p-2":"",style:i({paddingTop:`${e(o)}px`,paddingRight:`${e(p)}px`,paddingBottom:`${e(s)}px`,paddingLeft:`${e(d)}px`})},[a("div",f,[t(x)]),a("div",_,[t(e(m))])],4))}});export{$ as default};
diff --git a/assets/default-node-BIObRWrk.js b/assets/default-node-BIhx9KIo.js
similarity index 89%
rename from assets/default-node-BIObRWrk.js
rename to assets/default-node-BIhx9KIo.js
index 7606fe5ce5778c80609689fbcc3ecb5322546c13..f8c2514e85e37ecdc2785a222e245538fe28459d 100644
--- a/assets/default-node-BIObRWrk.js
+++ b/assets/default-node-BIhx9KIo.js
@@ -1 +1 @@
-import{cp as t}from"./index-BYewP6KR.js";async function s(){const{createRequire:a}=await t(async()=>{const{createRequire:o}=await import("./__vite-browser-external-FmFgRqLi.js");return{createRequire:o}},[]),{dirname:n,resolve:e}=await t(async()=>{const{dirname:o,resolve:c}=await import("./__vite-browser-external-FmFgRqLi.js");return{dirname:o,resolve:c}},[]),d=a(import.meta.url),r=n(d.resolve("@duckdb/duckdb-wasm"));return{mvp:{mainModule:e(r,"./duckdb-mvp.wasm"),mainWorker:e(r,"./duckdb-node-mvp.worker.cjs")},eh:{mainModule:e(r,"./duckdb-eh.wasm"),mainWorker:e(r,"./duckdb-node-eh.worker.cjs")}}}export{s as getBundles};
+import{cp as t}from"./index-CL4rmUJ-.js";async function s(){const{createRequire:a}=await t(async()=>{const{createRequire:o}=await import("./__vite-browser-external-FmFgRqLi.js");return{createRequire:o}},[]),{dirname:n,resolve:e}=await t(async()=>{const{dirname:o,resolve:c}=await import("./__vite-browser-external-FmFgRqLi.js");return{dirname:o,resolve:c}},[]),d=a(import.meta.url),r=n(d.resolve("@duckdb/duckdb-wasm"));return{mvp:{mainModule:e(r,"./duckdb-mvp.wasm"),mainWorker:e(r,"./duckdb-node-mvp.worker.cjs")},eh:{mainModule:e(r,"./duckdb-eh.wasm"),mainWorker:e(r,"./duckdb-node-eh.worker.cjs")}}}export{s as getBundles};
diff --git a/assets/delays-Bgq_JgIR.js b/assets/delays-DYQGGjQG.js
similarity index 82%
rename from assets/delays-Bgq_JgIR.js
rename to assets/delays-DYQGGjQG.js
index 412409527326605b72349ef1b9c36cfa966a47d1..25110a0a7238af2e8ad42fcee12300ebf67c3499 100644
--- a/assets/delays-Bgq_JgIR.js
+++ b/assets/delays-DYQGGjQG.js
@@ -1 +1 @@
-import{b as v,_,l as b}from"./queues-Cj51JWdx.js";import"./live2d-zip-loader-CvpgOHsT.js";import{d as k,g as d,c as s,o as l,a as e,b as y,e as x,D as i,bx as f,by as p}from"./index-BYewP6KR.js";import"./index-CBPLaxd6.js";import"./queue-DRKK1rL_.js";const z={flex:"","flex-col":"","gap-2":"","p-2":""},w={flex:"","flex-row":"","gap-2":""},h={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},M={"w-full":"",flex:"","flex-row":"","gap-4":""},V={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},D={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=k({__name:"delays",setup(E){const t=d(""),m=d([]),c=d([]),r=d(!1),u=v();u.onHandlerEvent("delay",a=>{c.value.push(a)});function g(){r.value=!0;const a=t.value.split("");for(const n of a)u.add(n);u.add(b),t.value="",r.value=!1}return(a,n)=>(l(),s("div",z,[e("div",w,[y(x(_),{modelValue:t.value,"onUpdate:modelValue":n[0]||(n[0]=o=>t.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:g},null,8,["modelValue"]),e("button",h,i(r.value?"Processing...":"Send"),1)]),e("div",M,[e("div",V,[n[1]||(n[1]=e("h3",{"font-semibold":""}," Emotion Message ",-1)),(l(!0),s(f,null,p(m.value,o=>(l(),s("div",{key:o},[e("div",null,i(o),1)]))),128))]),e("div",D,[n[2]||(n[2]=e("h3",{"font-semibold":""}," Delays ",-1)),(l(!0),s(f,null,p(c.value,o=>(l(),s("div",{key:o},[e("div",null,i(o)+"s",1)]))),128))])])]))}});export{N as default};
+import{b as v,_,l as b}from"./queues-D3Ic2N1b.js";import"./live2d-zip-loader-DFrBymqv.js";import{d as k,g as d,c as s,o as l,a as e,b as y,e as x,D as i,bx as f,by as p}from"./index-CL4rmUJ-.js";import"./index-D7ZJqxUE.js";import"./queue-DCQeV-U1.js";const z={flex:"","flex-col":"","gap-2":"","p-2":""},w={flex:"","flex-row":"","gap-2":""},h={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},M={"w-full":"",flex:"","flex-row":"","gap-4":""},V={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},D={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=k({__name:"delays",setup(E){const t=d(""),m=d([]),c=d([]),r=d(!1),u=v();u.onHandlerEvent("delay",a=>{c.value.push(a)});function g(){r.value=!0;const a=t.value.split("");for(const n of a)u.add(n);u.add(b),t.value="",r.value=!1}return(a,n)=>(l(),s("div",z,[e("div",w,[y(x(_),{modelValue:t.value,"onUpdate:modelValue":n[0]||(n[0]=o=>t.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:g},null,8,["modelValue"]),e("button",h,i(r.value?"Processing...":"Send"),1)]),e("div",M,[e("div",V,[n[1]||(n[1]=e("h3",{"font-semibold":""}," Emotion Message ",-1)),(l(!0),s(f,null,p(m.value,o=>(l(),s("div",{key:o},[e("div",null,i(o),1)]))),128))]),e("div",D,[n[2]||(n[2]=e("h3",{"font-semibold":""}," Delays ",-1)),(l(!0),s(f,null,p(c.value,o=>(l(),s("div",{key:o},[e("div",null,i(o)+"s",1)]))),128))])])]))}});export{N as default};
diff --git a/assets/elevenlabs-DaDbxr9N.js b/assets/elevenlabs-BKBDCaFN.js
similarity index 56%
rename from assets/elevenlabs-DaDbxr9N.js
rename to assets/elevenlabs-BKBDCaFN.js
index ec6e24da2e7413b688d1eb6c73ab7cfe3331ffb4..f3a2b7a0539e4444974b161c9a008380e4c60474 100644
--- a/assets/elevenlabs-DaDbxr9N.js
+++ b/assets/elevenlabs-BKBDCaFN.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as y,s as S,h as i,x as w,o as k,y as u,b as d,e as r}from"./index-BYewP6KR.js";import{u as x}from"./providers-CFIOZO6n.js";import{u as C}from"./speech-CLmksxkl.js";import{_ as B,a as L,b as V}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-lVYyoUny.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-CGhOEjXF.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";const t="elevenlabs",v="eleven_multilingual_v2",j=y({__name:"elevenlabs",setup(P){const n={similarityBoost:.75,stability:.5,speed:1,style:0,useSpeakerBoost:!0},a=C(),s=x(),{providers:m}=S(s),f=i(()=>{var e;return!!((e=m.value[t])!=null&&e.apiKey)}),g=i(()=>a.availableVoices[t]||[]),h=i(()=>a.availableLanguages);async function _(e,l,p){const o=s.getProviderInstance(t);if(!o)throw new Error("Failed to initialize speech provider");const c=s.getProviderConfig(t),b=c.model||v;return await a.speech(o,b,e,l,{...c,...n})}return(e,l)=>(k(),w(r(V),{"provider-id":t,"default-model":v,"additional-settings":n},{"voice-settings":u(({voiceSettings:p,updateVoiceSettings:o})=>[d(r(L),{settings:p,"show-similarity-boost":!0,"show-stability":!0,"show-speed":!0,"show-style":!0,"show-speaker-boost":!0,onUpdate:o},null,8,["settings","onUpdate"])]),playground:u(()=>[d(r(B),{"available-voices":g.value,"available-languages":h.value,"generate-speech":_,"api-key-configured":f.value,"default-text":"Hello! This is a test of the ElevenLabs voice synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{j as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as y,s as S,h as i,x as w,o as k,y as u,b as d,e as r}from"./index-CL4rmUJ-.js";import{u as x}from"./providers-BHCrT0RZ.js";import{u as C}from"./speech-Ae5ywnpY.js";import{_ as B,a as L,b as V}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-8IXQG3Jk.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-D5aCIkT4.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";const t="elevenlabs",v="eleven_multilingual_v2",j=y({__name:"elevenlabs",setup(P){const n={similarityBoost:.75,stability:.5,speed:1,style:0,useSpeakerBoost:!0},a=C(),s=x(),{providers:m}=S(s),f=i(()=>{var e;return!!((e=m.value[t])!=null&&e.apiKey)}),g=i(()=>a.availableVoices[t]||[]),h=i(()=>a.availableLanguages);async function _(e,l,p){const o=s.getProviderInstance(t);if(!o)throw new Error("Failed to initialize speech provider");const c=s.getProviderConfig(t),b=c.model||v;return await a.speech(o,b,e,l,{...c,...n})}return(e,l)=>(k(),w(r(V),{"provider-id":t,"default-model":v,"additional-settings":n},{"voice-settings":u(({voiceSettings:p,updateVoiceSettings:o})=>[d(r(L),{settings:p,"show-similarity-boost":!0,"show-stability":!0,"show-speed":!0,"show-style":!0,"show-speaker-boost":!0,onUpdate:o},null,8,["settings","onUpdate"])]),playground:u(()=>[d(r(B),{"available-voices":g.value,"available-languages":h.value,"generate-speech":_,"api-key-configured":f.value,"default-text":"Hello! This is a test of the ElevenLabs voice synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{j as default};
diff --git a/assets/emotions-BY0bSGBW.js b/assets/emotions-Bk2T6ViW.js
similarity index 82%
rename from assets/emotions-BY0bSGBW.js
rename to assets/emotions-Bk2T6ViW.js
index 5cbc5a416c693d4b22627daab5ec44e8e33a3572..57467bbe0a92e15a06049b0095886a0783232c48 100644
--- a/assets/emotions-BY0bSGBW.js
+++ b/assets/emotions-Bk2T6ViW.js
@@ -1 +1 @@
-import{a as _,_ as b,l as k}from"./queues-Cj51JWdx.js";import"./live2d-zip-loader-CvpgOHsT.js";import{d as x,g as u,c as s,o as t,a as e,b as z,e as h,D as i,bx as f,by as m}from"./index-BYewP6KR.js";import{u as w}from"./queue-DRKK1rL_.js";const y={flex:"","flex-col":"","gap-2":"","p-2":""},M={flex:"","flex-row":"","gap-2":""},V={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},E={"w-full":"",flex:"","flex-row":"","gap-4":""},Q={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},S={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=x({__name:"emotions",setup(B){const l=u(""),p=u([]),r=u([]),d=u(!1),g=w({handlers:[async a=>{r.value.push(a.data)}]}),c=_(g);function v(){d.value=!0;const a=l.value.split("");for(const o of a)c.add(o);c.add(k),l.value="",d.value=!1}return(a,o)=>(t(),s("div",y,[e("div",M,[z(h(b),{modelValue:l.value,"onUpdate:modelValue":o[0]||(o[0]=n=>l.value=n),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:v},null,8,["modelValue"]),e("button",V,i(d.value?"Processing...":"Send"),1)]),e("div",E,[e("div",Q,[o[1]||(o[1]=e("h3",{"font-semibold":""}," Messages ",-1)),(t(!0),s(f,null,m(p.value,n=>(t(),s("div",{key:n},[e("div",null,i(n),1)]))),128))]),e("div",S,[o[2]||(o[2]=e("h3",{"font-semibold":""}," Emotions ",-1)),(t(!0),s(f,null,m(r.value,n=>(t(),s("div",{key:n},[e("div",null,i(n),1)]))),128))])])]))}});export{N as default};
+import{a as _,_ as b,l as k}from"./queues-D3Ic2N1b.js";import"./live2d-zip-loader-DFrBymqv.js";import{d as x,g as u,c as s,o as t,a as e,b as z,e as h,D as i,bx as f,by as m}from"./index-CL4rmUJ-.js";import{u as w}from"./queue-DCQeV-U1.js";const y={flex:"","flex-col":"","gap-2":"","p-2":""},M={flex:"","flex-row":"","gap-2":""},V={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},E={"w-full":"",flex:"","flex-row":"","gap-4":""},Q={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},S={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},N=x({__name:"emotions",setup(B){const l=u(""),p=u([]),r=u([]),d=u(!1),g=w({handlers:[async a=>{r.value.push(a.data)}]}),c=_(g);function v(){d.value=!0;const a=l.value.split("");for(const o of a)c.add(o);c.add(k),l.value="",d.value=!1}return(a,o)=>(t(),s("div",y,[e("div",M,[z(h(b),{modelValue:l.value,"onUpdate:modelValue":o[0]||(o[0]=n=>l.value=n),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:v},null,8,["modelValue"]),e("button",V,i(d.value?"Processing...":"Send"),1)]),e("div",E,[e("div",Q,[o[1]||(o[1]=e("h3",{"font-semibold":""}," Messages ",-1)),(t(!0),s(f,null,m(p.value,n=>(t(),s("div",{key:n},[e("div",null,i(n),1)]))),128))]),e("div",S,[o[2]||(o[2]=e("h3",{"font-semibold":""}," Emotions ",-1)),(t(!0),s(f,null,m(r.value,n=>(t(),s("div",{key:n},[e("div",null,i(n),1)]))),128))])])]))}});export{N as default};
diff --git a/assets/featherless-ai-PxI_AzkK.js b/assets/featherless-ai-PxI_AzkK.js
new file mode 100644
index 0000000000000000000000000000000000000000..02a105969bd03ae61ce9c8482d04ce7741cba33c
--- /dev/null
+++ b/assets/featherless-ai-PxI_AzkK.js
@@ -0,0 +1 @@
+import"./live2d-zip-loader-DFrBymqv.js";import{d as h,q as U,bE as V,s as y,h as v,l as $,w as k,x as K,o as w,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as x}from"./providers-BHCrT0RZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="featherless-ai",H=h({__name:"featherless-ai",setup(B){const{t:d}=U(),_=V(),m=x(),{providers:o}=y(m),n=v(()=>m.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;m.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),k([i,r],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var c,f;return w(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"fw-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=u=>r.value=u),placeholder:"https://api.featherless.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
diff --git a/assets/filter-message-BT9_oUVT.js b/assets/filter-message-CX1l3MTd.js
similarity index 95%
rename from assets/filter-message-BT9_oUVT.js
rename to assets/filter-message-CX1l3MTd.js
index b4cfb8a5a45ab6ad522789a0256e4d33fca1f2c1..18315b76a0bf1780e9b8809d9a76b0fd4528cc6b 100644
--- a/assets/filter-message-BT9_oUVT.js
+++ b/assets/filter-message-CX1l3MTd.js
@@ -1 +1 @@
-import{d as g,g as u,r as m,c as v,o as _,a as s,b as x,D as d}from"./index-BYewP6KR.js";const b={flex:"","flex-col":"","gap-2":"","p-2":""},S={flex:"","flex-row":"","gap-2":""},k={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},w={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},V=g({__name:"filter-message",setup(z){const o=u(""),c=u(!1),i=u({content:""});async function f(r){return new Promise(e=>setTimeout(e,r))}async function p(){c.value=!0;const r=o.value.split("");let e;(a=>{a.Literal="literal",a.Special="special"})(e||(e={}));let l="literal",t="";for(const a of r){await f(50);let n=l;a==="<"?n="special":a===">"&&(n="literal"),l==="literal"&&n==="special"&&(i.value.content+=t,t=""),l==="special"&&n==="literal"&&(t=""),l==="literal"&&n==="literal"&&(i.value.content+=a,t=""),l=n}t&&(i.value.content+=t),o.value="",c.value=!1}return(r,e)=>{const l=m("BasicTextarea");return _(),v("div",b,[s("div",S,[x(l,{modelValue:o.value,"onUpdate:modelValue":e[0]||(e[0]=t=>o.value=t),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:p},null,8,["modelValue"]),s("button",k,d(c.value?"Processing...":"Send"),1)]),s("div",w,[e[1]||(e[1]=s("h3",{"font-semibold":""}," Streaming Message ",-1)),s("div",null,d(i.value.content),1)])])}}});export{V as default};
+import{d as g,g as u,r as m,c as v,o as _,a as s,b as x,D as d}from"./index-CL4rmUJ-.js";const b={flex:"","flex-col":"","gap-2":"","p-2":""},S={flex:"","flex-row":"","gap-2":""},k={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},w={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},V=g({__name:"filter-message",setup(z){const o=u(""),c=u(!1),i=u({content:""});async function f(r){return new Promise(e=>setTimeout(e,r))}async function p(){c.value=!0;const r=o.value.split("");let e;(a=>{a.Literal="literal",a.Special="special"})(e||(e={}));let l="literal",t="";for(const a of r){await f(50);let n=l;a==="<"?n="special":a===">"&&(n="literal"),l==="literal"&&n==="special"&&(i.value.content+=t,t=""),l==="special"&&n==="literal"&&(t=""),l==="literal"&&n==="literal"&&(i.value.content+=a,t=""),l=n}t&&(i.value.content+=t),o.value="",c.value=!1}return(r,e)=>{const l=m("BasicTextarea");return _(),v("div",b,[s("div",S,[x(l,{modelValue:o.value,"onUpdate:modelValue":e[0]||(e[0]=t=>o.value=t),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:p},null,8,["modelValue"]),s("button",k,d(c.value?"Processing...":"Send"),1)]),s("div",w,[e[1]||(e[1]=s("h3",{"font-semibold":""}," Streaming Message ",-1)),s("div",null,d(i.value.content),1)])])}}});export{V as default};
diff --git a/assets/fireworks-ai-CiD4t3hx.js b/assets/fireworks-ai-CmtwbW1h.js
similarity index 67%
rename from assets/fireworks-ai-CiD4t3hx.js
rename to assets/fireworks-ai-CmtwbW1h.js
index 868585fc283bdcce9b9abd1265ba7e635828e61d..c61512828109c8bc29a6bcd617715f585350fdd3 100644
--- a/assets/fireworks-ai-CiD4t3hx.js
+++ b/assets/fireworks-ai-CmtwbW1h.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as k,q as w,bE as U,s as V,h as v,l as y,w as $,x as K,o as h,y as p,b as l,e as t}from"./index-BYewP6KR.js";import{u as x}from"./providers-CFIOZO6n.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="fireworks-ai",H=k({__name:"fireworks-ai",setup(B){const{t:d}=w(),_=U(),m=x(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});y(()=>{var e,i;m.initializeProvider(a),r.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),$([r,s],()=>{o.value[a]={...o.value[a],apiKey:r.value,baseUrl:s.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:r.value,"onUpdate:modelValue":i[0]||(i[0]=g=>r.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"fw-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[1]||(i[1]=u=>s.value=u),placeholder:"https://api.fireworks.ai/inference/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as k,q as w,bE as U,s as V,h as v,l as y,w as $,x as K,o as h,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as x}from"./providers-BHCrT0RZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="fireworks-ai",H=k({__name:"fireworks-ai",setup(B){const{t:d}=w(),_=U(),m=x(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});y(()=>{var e,i;m.initializeProvider(a),r.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),$([r,s],()=>{o.value[a]={...o.value[a],apiKey:r.value,baseUrl:s.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:r.value,"onUpdate:modelValue":i[0]||(i[0]=g=>r.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"fw-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[1]||(i[1]=u=>s.value=u),placeholder:"https://api.fireworks.ai/inference/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
diff --git a/assets/image-CEksY4YG.js b/assets/image-CcWmIr03.js
similarity index 95%
rename from assets/image-CEksY4YG.js
rename to assets/image-CcWmIr03.js
index 9dc291c306cda05d8be84066cf5f519ae191fe7e..fabf221c9e91173d907a0c4892712df4079d34b8 100644
--- a/assets/image-CEksY4YG.js
+++ b/assets/image-CcWmIr03.js
@@ -1,2 +1,2 @@
-import{d as _,g as c,bD as y,c as d,o as u,a,C as x,D as b,e as v,bn as w}from"./index-BYewP6KR.js";const C={bg:"neutral-100",flex:"~ col","items-center":"","justify-center":"","rounded-lg":"","px-4":"","py-3":""},h={key:0},D=["src"],U={bg:"neutral-100",class:"text-wrap-any","max-h":"100","overflow-scroll":"","rounded-lg":"","text-wrap":"","text-black":"","font-mono":""},R=_({__name:"image",setup(k){const p=c(),n=c(""),{copy:g}=y({source:n});async function m(r){return new Promise((e,o)=>{const t=new FileReader;t.onload=s=>{var l,i;e(((i=(l=s.target)==null?void 0:l.result)==null?void 0:i.toString())||"")},t.onerror=s=>{o(s)},t.readAsDataURL(r)})}async function f(r){var t;const o=(t=r.target.files)==null?void 0:t[0];if(o){p.value=o;const s=await m(o);n.value=s}}return(r,e)=>(u(),d("div",null,[a("label",C,[a("input",{type:"file",accept:"image/*",hidden:"",onChange:f},null,32),e[1]||(e[1]=a("span",null,"Upload Image",-1))]),n.value?(u(),d("div",h,[a("img",{src:n.value,alt:"Uploaded Image","w-100":""},null,8,D),a("pre",U,"        "+b(n.value)+`
+import{d as _,g as c,bD as y,c as d,o as u,a,C as x,D as b,e as v,bn as w}from"./index-CL4rmUJ-.js";const C={bg:"neutral-100",flex:"~ col","items-center":"","justify-center":"","rounded-lg":"","px-4":"","py-3":""},h={key:0},D=["src"],U={bg:"neutral-100",class:"text-wrap-any","max-h":"100","overflow-scroll":"","rounded-lg":"","text-wrap":"","text-black":"","font-mono":""},R=_({__name:"image",setup(k){const p=c(),n=c(""),{copy:g}=y({source:n});async function m(r){return new Promise((e,o)=>{const t=new FileReader;t.onload=s=>{var l,i;e(((i=(l=s.target)==null?void 0:l.result)==null?void 0:i.toString())||"")},t.onerror=s=>{o(s)},t.readAsDataURL(r)})}async function f(r){var t;const o=(t=r.target.files)==null?void 0:t[0];if(o){p.value=o;const s=await m(o);n.value=s}}return(r,e)=>(u(),d("div",null,[a("label",C,[a("input",{type:"file",accept:"image/*",hidden:"",onChange:f},null,32),e[1]||(e[1]=a("span",null,"Upload Image",-1))]),n.value?(u(),d("div",h,[a("img",{src:n.value,alt:"Uploaded Image","w-100":""},null,8,D),a("pre",U,"        "+b(n.value)+`
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similarity index 50%
rename from assets/index-DSfRQH3b.css
rename to assets/index-BXUWdGb6.css
index af8ded7905820ac7ff31aef55e78171089beb30a..99333ce8e725da7d8414a5d5a366608d574f8735 100644
--- a/assets/index-DSfRQH3b.css
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diff --git a/assets/index-BQXqZPG9.js b/assets/index-BedZtR3C.js
similarity index 93%
rename from assets/index-BQXqZPG9.js
rename to assets/index-BedZtR3C.js
index c9aad2c86477b171f752c7d1b7bb70fea664e61b..418d4adbb5fd93495db0a87fbc53a2dd2f699f0e 100644
--- a/assets/index-BQXqZPG9.js
+++ b/assets/index-BedZtR3C.js
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diff --git a/assets/index-CYuYLZwp.js b/assets/index-Bs3BUlfx.js
similarity index 97%
rename from assets/index-CYuYLZwp.js
rename to assets/index-Bs3BUlfx.js
index ba09e2a02279eb6c838b62c4549d3b5497edd02e..eb8244a57ddac2f97ff0abbc1973eb3c82af9460 100644
--- a/assets/index-CYuYLZwp.js
+++ b/assets/index-Bs3BUlfx.js
@@ -1 +1 @@
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i=Math.max(n,t,e),r=Math.min(n,t,e);let o=0,s=0;const a=(i+r)/2;if(i!==r){const c=i-r;switch(s=a>.5?c/(2-i-r):c/(i+r),i){case n:o=(t-e)/c+(t<e?6:0);break;case t:o=(e-n)/c+2;break;case e:o=(n-t)/c+4;break}o/=6}return[o,s,a]}function I(n,t,e){let i,r,o;function s(a,c,h){return h<0&&(h+=1),h>1&&(h-=1),h<1/6?a+(c-a)*6*h:h<1/2?c:h<2/3?a+(c-a)*(2/3-h)*6:a}if(t===0)i=r=o=e;else{const a=e<.5?e*(1+t):e+t-e*t,c=2*e-a;i=s(c,a,n+1/3),r=s(c,a,n),o=s(c,a,n-1/3)}return[i*255,r*255,o*255]}class V{static applyFilters(t,e){return e.length>0?t.filter(({r:i,g:r,b:o})=>{var s;for(let a=0;a<e.length;a++)if(!((s=e[a])!=null&&s.call(e,i,r,o,255)))return!1;return!0}):t}static clone(t){return new V(t._rgb,t._population)}get r(){return this._rgb[0]}get g(){return this._rgb[1]}get b(){return this._rgb[2]}get rgb(){return this._rgb}get hsl(){if(!this._hsl){const[t,e,i]=this._rgb;this._hsl=Rt(t,e,i)}return this._hsl}get hex(){if(!this._hex){const[t,e,i]=this._rgb;this._hex=Tt(t,e,i)}return this._hex}get 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this._avg}contains(t){let[e,i,r]=t;const{r1:o,r2:s,g1:a,g2:c,b1:h,b2:m}=this.dimension;return e>>=q,i>>=q,r>>=q,e>=o&&e<=s&&i>=a&&i<=c&&r>=h&&r<=m}split(){const{hist:t,getColorIndex:e}=this.histogram,{r1:i,r2:r,g1:o,g2:s,b1:a,b2:c}=this.dimension,h=this.count();if(!h)return[];if(h===1)return[this.clone()];const m=r-i+1,f=s-o+1,_=c-a+1,b=Math.max(m,f,_);let l=null,u,d;u=d=0;let g=null;if(b===m){g="r",l=new Uint32Array(r+1);for(let v=i;v<=r;v++){u=0;for(let x=o;x<=s;x++)for(let C=a;C<=c;C++){const D=e(v,x,C);t[D]&&(u+=t[D])}d+=u,l[v]=d}}else if(b===f){g="g",l=new Uint32Array(s+1);for(let v=o;v<=s;v++){u=0;for(let x=i;x<=r;x++)for(let C=a;C<=c;C++){const D=e(x,v,C);t[D]&&(u+=t[D])}d+=u,l[v]=d}}else{g="b",l=new Uint32Array(c+1);for(let v=a;v<=c;v++){u=0;for(let x=i;x<=r;x++)for(let C=o;C<=s;C++){const D=e(x,C,v);t[D]&&(u+=t[D])}d+=u,l[v]=d}}let w=-1;const N=new Uint32Array(l.length);for(let v=0;v<l.length;v++){const x=l[v];x&&(w<0&&x>d/2&&(w=v),N[v]=d-x)}const M=this;function L(v){const 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Bt=(n,t)=>{if(n.length===0||t.colorCount<2||t.colorCount>256)throw new Error("Wrong MMCQ parameters");const e=A.build(n);e.histogram.colorCount;const i=new at((o,s)=>o.count()-s.count());i.push(e),lt(i,At*t.colorCount);const r=new at((o,s)=>o.count()*o.volume()-s.count()*s.volume());return r.contents=i.contents,lt(r,t.colorCount-r.size()),qt(r)};function qt(n){const t=[];for(;n.size();){const e=n.pop(),i=e.avg();t.push(new V(i,e.count()))}return t}const Ht={targetDarkLuma:.26,maxDarkLuma:.45,minLightLuma:.55,targetLightLuma:.74,minNormalLuma:.3,targetNormalLuma:.5,maxNormalLuma:.7,targetMutesSaturation:.3,maxMutesSaturation:.4,targetVibrantSaturation:1,minVibrantSaturation:.35,weightSaturation:3,weightLuma:6.5,weightPopulation:.5};function Wt(n){let t=0;return n.forEach(e=>{t=Math.max(t,e.population)}),t}function Jt(n,t){return n.Vibrant===t||n.DarkVibrant===t||n.LightVibrant===t||n.Muted===t||n.DarkMuted===t||n.LightMuted===t}function Gt(n,t,e,i,r,o,s){function a(...h){let 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g.file(w).async("string"),M=JSON.parse(N),L={};Object.entries(u).forEach(([x,C])=>{if(L[C]){L[C].push({File:x});return}L[C]=[{File:x}]}),M.FileReferences.Motions=L,g.file(w,JSON.stringify(M,null,2));const v=await g.generateAsync({type:"blob"});return new File([v],l.name,{type:l.type,lastModified:l.lastModified})}async function _(){const l=await Vt.getItem("live2dModel");if(!l)return;const u=await f(l,o.value);r.value=u,s.value="file",a.value=!0}const b=pt(r);return(l,u)=>(z(),O("div",te,[S(p(ot),{title:"settings.live2d.change-model.title",icon:"i-solar:magic-stick-3-bold-duotone","inner-class":"text-sm"},{default:E(()=>[y("div",ee,[W(y("input",{"onUpdate:modelValue":u[0]||(u[0]=d=>m.value=d),disabled:p(i).loadingLive2dModel,class:"form-control flex-1",border:"zinc-300 dark:zinc-800 solid 1 focus:zinc-400 dark:focus:zinc-600",transition:"border duration-250 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URL(n,location.href);return t.protocol===location.protocol&&t.host===location.host&&t.port===location.port}function Ft(n,t){const e=new URL(n),i=new URL(t);return e.protocol===i.protocol&&e.hostname===i.hostname&&e.port===i.port}class Pt extends It{_getCanvas(){if(!this._canvas)throw new Error("Canvas is not initialized");return this._canvas}_getContext(){if(!this._context)throw new Error("Context is not initialized");return this._context}_getWidth(){if(!this._width)throw new Error("Width is not initialized");return this._width}_getHeight(){if(!this._height)throw new Error("Height is not initialized");return this._height}_initCanvas(){const t=this.image;if(!t)throw new Error("Image is not initialized");const e=this._canvas=document.createElement("canvas"),i=e.getContext("2d");if(!i)throw new ReferenceError("Failed to create canvas 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this._opts.maxDimension=t,this}addFilter(t){return this._opts.filters?this._opts.filters.push(t):this._opts.filters=[t],this}removeFilter(t){if(this._opts.filters){const e=this._opts.filters.indexOf(t);e>0&&this._opts.filters.splice(e)}return this}clearFilters(){return this._opts.filters=[],this}quality(t){return this._opts.quality=t,this}useImageClass(t){return this._opts.ImageClass=t,this}useGenerator(t,e){return this._opts.generators||(this._opts.generators=[]),this._opts.generators.push(e?{name:t,options:e}:t),this}useQuantizer(t,e){return this._opts.quantizer=e?{name:t,options:e}:t,this}build(){return new F(this._src,this._opts)}getPalette(){return this.build().getPalette()}}class B{constructor(t){this.pipeline=t,this._map={}}names(){return Object.keys(this._map)}has(t){return!!this._map[t]}get(t){return this._map[t]}register(t,e){return this._map[t]=e,this.pipeline}}class Ut{constructor(){this.filter=new B(this),this.quantizer=new B(this),this.generator=new 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i=Math.max(n,t,e),r=Math.min(n,t,e);let o=0,s=0;const a=(i+r)/2;if(i!==r){const c=i-r;switch(s=a>.5?c/(2-i-r):c/(i+r),i){case n:o=(t-e)/c+(t<e?6:0);break;case t:o=(e-n)/c+2;break;case e:o=(n-t)/c+4;break}o/=6}return[o,s,a]}function I(n,t,e){let i,r,o;function s(a,c,h){return h<0&&(h+=1),h>1&&(h-=1),h<1/6?a+(c-a)*6*h:h<1/2?c:h<2/3?a+(c-a)*(2/3-h)*6:a}if(t===0)i=r=o=e;else{const a=e<.5?e*(1+t):e+t-e*t,c=2*e-a;i=s(c,a,n+1/3),r=s(c,a,n),o=s(c,a,n-1/3)}return[i*255,r*255,o*255]}class V{static applyFilters(t,e){return e.length>0?t.filter(({r:i,g:r,b:o})=>{var s;for(let a=0;a<e.length;a++)if(!((s=e[a])!=null&&s.call(e,i,r,o,255)))return!1;return!0}):t}static clone(t){return new V(t._rgb,t._population)}get r(){return this._rgb[0]}get g(){return this._rgb[1]}get b(){return this._rgb[2]}get rgb(){return this._rgb}get hsl(){if(!this._hsl){const[t,e,i]=this._rgb;this._hsl=Rt(t,e,i)}return this._hsl}get hex(){if(!this._hex){const[t,e,i]=this._rgb;this._hex=Tt(t,e,i)}return this._hex}get population(){return this._population}toJSON(){return{rgb:this.rgb,population:this.population}}getYiq(){if(!this._yiq){const t=this._rgb;this._yiq=(t[0]*299+t[1]*587+t[2]*114)/1e3}return this._yiq}get titleTextColor(){return this._titleTextColor||(this._titleTextColor=this.getYiq()<200?"#fff":"#000"),this._titleTextColor}get bodyTextColor(){return this._bodyTextColor||(this._bodyTextColor=this.getYiq()<150?"#fff":"#000"),this._bodyTextColor}constructor(t,e){this._rgb=t,this._population=e}}const ht=class G{constructor(t,e){this._src=t,this.opts=T({},G.DefaultOpts,e)}static use(t){this._pipeline=t}static from(t){return new jt(t)}get result(){return this._result}_process(t,e){t.scaleDown(this.opts);const i=$t(this.opts,e);return G._pipeline.process(t.getImageData(),i)}async getPalette(){const t=new this.opts.ImageClass;try{const e=await t.load(this._src),i=await this._process(e,{generators:["default"]});this._result=i;const r=i.palettes.default;if(!r)throw new Error("Something went wrong and a palette was not found, please file a bug against our GitHub repo: https://github.com/vibrant-Colors/node-vibrant/");return t.remove(),r}catch(e){return t.remove(),Promise.reject(e)}}async getPalettes(){const t=new this.opts.ImageClass;try{const e=await t.load(this._src),i=await this._process(e,{generators:["*"]});this._result=i;const r=i.palettes;return t.remove(),r}catch(e){return t.remove(),Promise.reject(e)}}};ht.DefaultOpts={colorCount:64,quality:5,filters:[]};let F=ht;F.DefaultOpts.quantizer="mmcq";F.DefaultOpts.generators=["default"];F.DefaultOpts.filters=["default"];F.DefaultOpts.ImageClass=Pt;const Q=5,q=8-Q;class A{constructor(t,e,i,r,o,s,a){this.histogram=a,this._volume=-1,this._avg=null,this._count=-1,this.dimension={r1:t,r2:e,g1:i,g2:r,b1:o,b2:s}}static build(t){const e=new Nt(t,{sigBits:Q}),{rmin:i,rmax:r,gmin:o,gmax:s,bmin:a,bmax:c}=e;return new A(i,r,o,s,a,c,e)}invalidate(){this._volume=this._count=-1,this._avg=null}volume(){if(this._volume<0){const{r1:t,r2:e,g1:i,g2:r,b1:o,b2:s}=this.dimension;this._volume=(e-t+1)*(r-i+1)*(s-o+1)}return this._volume}count(){if(this._count<0){const{hist:t,getColorIndex:e}=this.histogram,{r1:i,r2:r,g1:o,g2:s,b1:a,b2:c}=this.dimension;let h=0;for(let m=i;m<=r;m++)for(let f=o;f<=s;f++)for(let _=a;_<=c;_++){const b=e(m,f,_);t[b]&&(h+=t[b])}this._count=h}return this._count}clone(){const{histogram:t}=this,{r1:e,r2:i,g1:r,g2:o,b1:s,b2:a}=this.dimension;return new A(e,i,r,o,s,a,t)}avg(){if(!this._avg){const{hist:t,getColorIndex:e}=this.histogram,{r1:i,r2:r,g1:o,g2:s,b1:a,b2:c}=this.dimension;let h=0;const m=1<<8-Q;let f,_,b;f=_=b=0;for(let l=i;l<=r;l++)for(let u=o;u<=s;u++)for(let d=a;d<=c;d++){const g=e(l,u,d),w=t[g];w&&(h+=w,f+=w*(l+.5)*m,_+=w*(u+.5)*m,b+=w*(d+.5)*m)}h?this._avg=[~~(f/h),~~(_/h),~~(b/h)]:this._avg=[~~(m*(i+r+1)/2),~~(m*(o+s+1)/2),~~(m*(a+c+1)/2)]}return this._avg}contains(t){let[e,i,r]=t;const{r1:o,r2:s,g1:a,g2:c,b1:h,b2:m}=this.dimension;return e>>=q,i>>=q,r>>=q,e>=o&&e<=s&&i>=a&&i<=c&&r>=h&&r<=m}split(){const{hist:t,getColorIndex:e}=this.histogram,{r1:i,r2:r,g1:o,g2:s,b1:a,b2:c}=this.dimension,h=this.count();if(!h)return[];if(h===1)return[this.clone()];const m=r-i+1,f=s-o+1,_=c-a+1,b=Math.max(m,f,_);let l=null,u,d;u=d=0;let g=null;if(b===m){g="r",l=new Uint32Array(r+1);for(let v=i;v<=r;v++){u=0;for(let x=o;x<=s;x++)for(let C=a;C<=c;C++){const D=e(v,x,C);t[D]&&(u+=t[D])}d+=u,l[v]=d}}else if(b===f){g="g",l=new Uint32Array(s+1);for(let v=o;v<=s;v++){u=0;for(let x=i;x<=r;x++)for(let C=a;C<=c;C++){const D=e(x,v,C);t[D]&&(u+=t[D])}d+=u,l[v]=d}}else{g="b",l=new Uint32Array(c+1);for(let v=a;v<=c;v++){u=0;for(let x=i;x<=r;x++)for(let C=o;C<=s;C++){const D=e(x,C,v);t[D]&&(u+=t[D])}d+=u,l[v]=d}}let w=-1;const N=new Uint32Array(l.length);for(let v=0;v<l.length;v++){const x=l[v];x&&(w<0&&x>d/2&&(w=v),N[v]=d-x)}const M=this;function L(v){const 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diff --git a/assets/index-BQRIrFxp.js b/assets/index-C7IMxg5Y.js
similarity index 94%
rename from assets/index-BQRIrFxp.js
rename to assets/index-C7IMxg5Y.js
index 089dcb533c8f1cf3f846276097735b5f0770349e..810ae324eb5ff97270b21e3ca777e8acb3e0b891 100644
--- a/assets/index-BQRIrFxp.js
+++ b/assets/index-C7IMxg5Y.js
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diff --git a/assets/index-C4TaASqf.js b/assets/index-CDeQ6Zfm.js
similarity index 99%
rename from assets/index-C4TaASqf.js
rename to assets/index-CDeQ6Zfm.js
index 4655cc5d7f0b4492239125d81638d4318265879e..4ecd166c9fa765c08a3782f7212fe9ac5ce32282 100644
--- a/assets/index-C4TaASqf.js
+++ b/assets/index-CDeQ6Zfm.js
@@ -1,3 +1,3 @@
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diff --git a/assets/index-BYewP6KR.js b/assets/index-CL4rmUJ-.js
similarity index 98%
rename from assets/index-BYewP6KR.js
rename to assets/index-CL4rmUJ-.js
index 85819bd0b8a8d02d7efc4aec3b4892785e5aa616..21379a512425831f311f8d21d0ab62bf2756449e 100644
--- a/assets/index-BYewP6KR.js
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rename from assets/index-Dxee_4oE.js
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index dae4a04477ff13dd86daad5eda61c1f4ae84e86a..2adb5fa5300595e0b9965b510356e5eb6d8c9e94 100644
--- a/assets/index-Dxee_4oE.js
+++ b/assets/index-CjikULv_.js
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diff --git a/assets/index-Cq-dDTsD.js b/assets/index-CkYx69fn.js
similarity index 95%
rename from assets/index-Cq-dDTsD.js
rename to assets/index-CkYx69fn.js
index 8262d5bcd7de6b4ac2123f1067ec1c3a4f682238..5cf0c0f5287bec4e585cd45003c5ea4ea604e886 100644
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diff --git a/assets/index-CBPLaxd6.js b/assets/index-D7ZJqxUE.js
similarity index 99%
rename from assets/index-CBPLaxd6.js
rename to assets/index-D7ZJqxUE.js
index abbf617d4be76ff83c26b93d4face00caa2e2d7d..81572f60269a527c2bc3b9fbe6f0865396a37408 100644
--- a/assets/index-CBPLaxd6.js
+++ b/assets/index-D7ZJqxUE.js
@@ -1,4 +1,4 @@
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f=NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(u);if(f===void 0)throw new TypeError(`Unsupported tensor type: ${u}.`);if(Array.isArray(b))h=f.from(b);else if(b instanceof f)h=b;else throw new TypeError(`A ${p} tensor's data must be type of ${f}`)}else if(o=b,Array.isArray(u)){if(u.length===0)throw new TypeError("Tensor type cannot be inferred from an empty array.");const f=typeof u[0];if(f==="string")p="string",h=u;else if(f==="boolean")p="bool",h=Uint8Array.from(u);else throw new TypeError(`Invalid element type of data array: ${f}.`)}else{const f=NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(u.constructor);if(f===void 0)throw new TypeError(`Unsupported type for tensor data: ${u.constructor}.`);p=f,h=u}if(o===void 0)o=[h.length];else if(!Array.isArray(o))throw new TypeError("A tensor's dims must be a number array");const c=calculateSize(o);if(c!==h.length)throw new Error(`Tensor's size(${c}) does not match data length(${h.length}).`);this.dims=o,this.type=p,this.data=h,this.size=c}static bufferToTensor(u,b){if(u===void 0)throw new Error("Image buffer must be defined");if(b.height===void 0||b.width===void 0)throw new Error("Image height and width must be defined");const{height:g,width:p}=b,h=b.norm;let o,c;h===void 0||h.mean===void 0?o=255:o=h.mean,h===void 0||h.bias===void 0?c=0:c=h.bias;const f=b.bitmapFormat!==void 0?b.bitmapFormat:"RGBA",s=b.tensorFormat!==void 0&&b.tensorFormat!==void 0?b.tensorFormat:"RGB",i=g*p,t=s==="RGBA"?new Float32Array(i*4):new Float32Array(i*3);let e=4,n=0,r=1,a=2,l=3,d=0,m=i,y=i*2,v=-1;f==="RGB"&&(e=3,n=0,r=1,a=2,l=-1),s==="RGBA"?v=i*3:s==="RBG"?(d=0,y=i,m=i*2):s==="BGR"&&(y=0,m=i,d=i*2);for(let T=0;T<i;T++,n+=e,a+=e,r+=e,l+=e)t[d++]=(u[n]+c)/o,t[m++]=(u[r]+c)/o,t[y++]=(u[a]+c)/o,v!==-1&&l!==-1&&(t[v++]=(u[l]+c)/o);return s==="RGBA"?new at("float32",t,[1,4,g,p]):new at("float32",t,[1,3,g,p])}static async fromImage(u,b){const g=typeof HTMLImageElement<"u"&&u instanceof HTMLImageElement,p=typeof ImageData<"u"&&u instanceof ImageData,h=typeof ImageBitmap<"u"&&u instanceof ImageBitmap,o=typeof String<"u"&&(u instanceof String||typeof u=="string");let c,f={};if(g){const s=document.createElement("canvas"),i=s.getContext("2d");if(i!=null){let t=u.naturalHeight,e=u.naturalWidth;if(b!==void 0&&b.resizedHeight!==void 0&&b.resizedWidth!==void 0&&(t=b.resizedHeight,e=b.resizedWidth),b!==void 0){if(f=b,b.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");if(f.tensorFormat="RGBA",b.height!==void 0&&b.height!==t)throw new Error("Image input config height doesn't match HTMLImageElement height");if(f.height=t,b.width!==void 0&&b.width!==e)throw new Error("Image input config width doesn't match HTMLImageElement width");f.width=e}else f.tensorFormat="RGBA",f.height=t,f.width=e;s.width=e,s.height=t,i.drawImage(u,0,0,e,t),c=i.getImageData(0,0,e,t).data}else throw new Error("Can not access image data")}else if(p){const s="RGBA";let i,t;if(b!==void 0&&b.resizedWidth!==void 0&&b.resizedHeight!==void 0?(i=b.resizedHeight,t=b.resizedWidth):(i=u.height,t=u.width),b!==void 0){if(f=b,b.bitmapFormat!==void 0&&b.bitmapFormat!==s)throw new Error("Image input config format must be RGBA for ImageData");f.bitmapFormat="RGBA"}else f.bitmapFormat="RGBA";if(f.height=i,f.width=t,b!==void 0){const e=document.createElement("canvas");e.width=t,e.height=i;const n=e.getContext("2d");if(n!=null)n.putImageData(u,0,0),c=n.getImageData(0,0,t,i).data;else throw new Error("Can not access image data")}else c=u.data}else if(h){if(b===void 0)throw new Error("Please provide image config with format for Imagebitmap");if(b.bitmapFormat!==void 0)throw new Error("Image input config format must be defined for ImageBitmap");const s=document.createElement("canvas").getContext("2d");if(s!=null){const i=u.height,t=u.width;if(s.drawImage(u,0,0,t,i),c=s.getImageData(0,0,t,i).data,b!==void 0){if(b.height!==void 0&&b.height!==i)throw new Error("Image input config height doesn't match ImageBitmap height");if(f.height=i,b.width!==void 0&&b.width!==t)throw new Error("Image input config width doesn't match ImageBitmap width");f.width=t}else f.height=i,f.width=t;return at.bufferToTensor(c,f)}else throw new Error("Can not access image data")}else{if(o)return new Promise((s,i)=>{const t=document.createElement("canvas"),e=t.getContext("2d");if(!u||!e)return i();const n=new Image;n.crossOrigin="Anonymous",n.src=u,n.onload=()=>{t.width=n.width,t.height=n.height,e.drawImage(n,0,0,t.width,t.height);const r=e.getImageData(0,0,t.width,t.height);if(b!==void 0){if(b.height!==void 0&&b.height!==t.height)throw new Error("Image input config height doesn't match ImageBitmap height");if(f.height=t.height,b.width!==void 0&&b.width!==t.width)throw new Error("Image input config width doesn't match ImageBitmap width");f.width=t.width}else f.height=t.height,f.width=t.width;s(at.bufferToTensor(r.data,f))}});throw new Error("Input data provided is not supported - aborted tensor creation")}if(c!==void 0)return at.bufferToTensor(c,f);throw new Error("Input data provided is not supported - aborted tensor creation")}toImageData(u){var b,g;const p=document.createElement("canvas").getContext("2d");let h;if(p!=null){const o=this.dims[3],c=this.dims[2],f=this.dims[1],s=u!==void 0&&u.format!==void 0?u.format:"RGB",i=u!==void 0&&((b=u.norm)===null||b===void 0?void 0:b.mean)!==void 0?u.norm.mean:255,t=u!==void 0&&((g=u.norm)===null||g===void 0?void 0:g.bias)!==void 0?u.norm.bias:0,e=c*o;if(u!==void 0){if(u.height!==void 0&&u.height!==c)throw new Error("Image output config height doesn't match tensor height");if(u.width!==void 0&&u.width!==o)throw new Error("Image output config width doesn't match tensor width");if(u.format!==void 0&&f===4&&u.format!=="RGBA"||f===3&&u.format!=="RGB"&&u.format!=="BGR")throw new Error("Tensor format doesn't match input tensor dims")}const n=4;let r=0,a=1,l=2,d=3,m=0,y=e,v=e*2,_=-1;s==="RGBA"?(m=0,y=e,v=e*2,_=e*3):s==="RGB"?(m=0,y=e,v=e*2):s==="RBG"&&(m=0,v=e,y=e*2),h=p.createImageData(o,c);for(let T=0;T<c*o;r+=n,a+=n,l+=n,d+=n,T++)h.data[r]=(this.data[m++]-t)*i,h.data[a]=(this.data[y++]-t)*i,h.data[l]=(this.data[v++]-t)*i,h.data[d]=_===-1?255:(this.data[_++]-t)*i}else throw new Error("Can not access image data");return h}reshape(u){return new at(this.type,this.data,u)}};const Tensor=Tensor$1;let InferenceSession$1=class cn{constructor(u){this.handler=u}async run(u,b,g){const p={};let h={};if(typeof u!="object"||u===null||u instanceof Tensor||Array.isArray(u))throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.");let o=!0;if(typeof b=="object"){if(b===null)throw new TypeError("Unexpected argument[1]: cannot be null.");if(b instanceof Tensor)throw new TypeError("'fetches' cannot be a Tensor");if(Array.isArray(b)){if(b.length===0)throw new TypeError("'fetches' cannot be an empty array.");o=!1;for(const s of b){if(typeof s!="string")throw new TypeError("'fetches' must be a string array or an object.");if(this.outputNames.indexOf(s)===-1)throw new RangeError(`'fetches' contains invalid output name: ${s}.`);p[s]=null}if(typeof g=="object"&&g!==null)h=g;else if(typeof g<"u")throw new TypeError("'options' must be an object.")}else{let s=!1;const i=Object.getOwnPropertyNames(b);for(const t of this.outputNames)if(i.indexOf(t)!==-1){const e=b[t];(e===null||e instanceof Tensor)&&(s=!0,o=!1,p[t]=e)}if(s){if(typeof g=="object"&&g!==null)h=g;else if(typeof g<"u")throw new TypeError("'options' must be an object.")}else h=b}}else if(typeof b<"u")throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");for(const s of this.inputNames)if(typeof u[s]>"u")throw new Error(`input '${s}' is missing in 'feeds'.`);if(o)for(const s of this.outputNames)p[s]=null;const c=await this.handler.run(u,p,h),f={};for(const s in c)Object.hasOwnProperty.call(c,s)&&(f[s]=new Tensor(c[s].type,c[s].data,c[s].dims));return f}static async create(u,b,g,p){let h,o={};if(typeof u=="string"){if(h=u,typeof b=="object"&&b!==null)o=b;else if(typeof b<"u")throw new TypeError("'options' must be an object.")}else if(u instanceof Uint8Array){if(h=u,typeof b=="object"&&b!==null)o=b;else if(typeof b<"u")throw new TypeError("'options' must be an object.")}else if(u instanceof ArrayBuffer||typeof SharedArrayBuffer<"u"&&u instanceof SharedArrayBuffer){const t=u;let e=0,n=u.byteLength;if(typeof b=="object"&&b!==null)o=b;else if(typeof b=="number"){if(e=b,!Number.isSafeInteger(e))throw new RangeError("'byteOffset' must be an integer.");if(e<0||e>=t.byteLength)throw new RangeError(`'byteOffset' is out of range [0, ${t.byteLength}).`);if(n=u.byteLength-e,typeof g=="number"){if(n=g,!Number.isSafeInteger(n))throw new RangeError("'byteLength' must be an integer.");if(n<=0||e+n>t.byteLength)throw new RangeError(`'byteLength' is out of range (0, ${t.byteLength-e}].`);if(typeof p=="object"&&p!==null)o=p;else if(typeof p<"u")throw new TypeError("'options' must be an object.")}else if(typeof g<"u")throw new TypeError("'byteLength' must be a number.")}else if(typeof b<"u")throw new TypeError("'options' must be an object.");h=new Uint8Array(t,e,n)}else throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'.");const f=(o.executionProviders||[]).map(t=>typeof t=="string"?t:t.name),i=await(await resolveBackend(f)).createSessionHandler(h,o);return new cn(i)}startProfiling(){this.handler.startProfiling()}endProfiling(){this.handler.endProfiling()}get inputNames(){return this.handler.inputNames}get outputNames(){return this.handler.outputNames}};const InferenceSession=InferenceSession$1,lib=Object.freeze(Object.defineProperty({__proto__:null,InferenceSession,Tensor,env,registerBackend},Symbol.toStringTag,{value:"Module"})),require$$0=getAugmentedNamespace(lib);/*!
+import{cq as getAugmentedNamespace}from"./index-CL4rmUJ-.js";var dist={},ortWeb_min={exports:{}};const backends={},backendsSortedByPriority=[],registerBackend=(D,u,b)=>{if(u&&typeof u.init=="function"&&typeof u.createSessionHandler=="function"){const g=backends[D];if(g===void 0)backends[D]={backend:u,priority:b};else{if(g.priority>b)return;if(g.priority===b&&g.backend!==u)throw new Error(`cannot register backend "${D}" using priority ${b}`)}if(b>=0){const p=backendsSortedByPriority.indexOf(D);p!==-1&&backendsSortedByPriority.splice(p,1);for(let h=0;h<backendsSortedByPriority.length;h++)if(backends[backendsSortedByPriority[h]].priority<=b){backendsSortedByPriority.splice(h,0,D);return}backendsSortedByPriority.push(D)}return}throw new TypeError("not a valid backend")},resolveBackend=async D=>{const u=D.length===0?backendsSortedByPriority:D,b=[];for(const g of u){const p=backends[g];if(p){if(p.initialized)return p.backend;if(p.aborted)continue;const h=!!p.initPromise;try{return h||(p.initPromise=p.backend.init()),await p.initPromise,p.initialized=!0,p.backend}catch(o){h||b.push({name:g,err:o}),p.aborted=!0}finally{delete p.initPromise}}}throw new Error(`no available backend found. ERR: ${b.map(g=>`[${g.name}] ${g.err}`).join(", ")}`)};class EnvImpl{constructor(){this.wasm={},this.webgl={},this.logLevelInternal="warning"}set logLevel(u){if(u!==void 0){if(typeof u!="string"||["verbose","info","warning","error","fatal"].indexOf(u)===-1)throw new Error(`Unsupported logging level: ${u}`);this.logLevelInternal=u}}get logLevel(){return this.logLevelInternal}}const env=new EnvImpl,isBigInt64ArrayAvailable=typeof BigInt64Array<"u"&&typeof BigInt64Array.from=="function",isBigUint64ArrayAvailable=typeof BigUint64Array<"u"&&typeof BigUint64Array.from=="function",NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP=new Map([["float32",Float32Array],["uint8",Uint8Array],["int8",Int8Array],["uint16",Uint16Array],["int16",Int16Array],["int32",Int32Array],["bool",Uint8Array],["float64",Float64Array],["uint32",Uint32Array]]),NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP=new Map([[Float32Array,"float32"],[Uint8Array,"uint8"],[Int8Array,"int8"],[Uint16Array,"uint16"],[Int16Array,"int16"],[Int32Array,"int32"],[Float64Array,"float64"],[Uint32Array,"uint32"]]);isBigInt64ArrayAvailable&&(NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("int64",BigInt64Array),NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array,"int64"));isBigUint64ArrayAvailable&&(NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set("uint64",BigUint64Array),NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array,"uint64"));const calculateSize=D=>{let u=1;for(let b=0;b<D.length;b++){const g=D[b];if(typeof g!="number"||!Number.isSafeInteger(g))throw new TypeError(`dims[${b}] must be an integer, got: ${g}`);if(g<0)throw new RangeError(`dims[${b}] must be a non-negative integer, got: ${g}`);u*=g}return u};let Tensor$1=class at{constructor(u,b,g){let p,h,o;if(typeof u=="string")if(p=u,o=g,u==="string"){if(!Array.isArray(b))throw new TypeError("A string tensor's data must be a string array.");h=b}else{const f=NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(u);if(f===void 0)throw new TypeError(`Unsupported tensor type: ${u}.`);if(Array.isArray(b))h=f.from(b);else if(b instanceof f)h=b;else throw new TypeError(`A ${p} tensor's data must be type of ${f}`)}else if(o=b,Array.isArray(u)){if(u.length===0)throw new TypeError("Tensor type cannot be inferred from an empty array.");const f=typeof u[0];if(f==="string")p="string",h=u;else if(f==="boolean")p="bool",h=Uint8Array.from(u);else throw new TypeError(`Invalid element type of data array: ${f}.`)}else{const f=NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(u.constructor);if(f===void 0)throw new TypeError(`Unsupported type for tensor data: ${u.constructor}.`);p=f,h=u}if(o===void 0)o=[h.length];else if(!Array.isArray(o))throw new TypeError("A tensor's dims must be a number array");const c=calculateSize(o);if(c!==h.length)throw new Error(`Tensor's size(${c}) does not match data length(${h.length}).`);this.dims=o,this.type=p,this.data=h,this.size=c}static bufferToTensor(u,b){if(u===void 0)throw new Error("Image buffer must be defined");if(b.height===void 0||b.width===void 0)throw new Error("Image height and width must be defined");const{height:g,width:p}=b,h=b.norm;let o,c;h===void 0||h.mean===void 0?o=255:o=h.mean,h===void 0||h.bias===void 0?c=0:c=h.bias;const f=b.bitmapFormat!==void 0?b.bitmapFormat:"RGBA",s=b.tensorFormat!==void 0&&b.tensorFormat!==void 0?b.tensorFormat:"RGB",i=g*p,t=s==="RGBA"?new Float32Array(i*4):new Float32Array(i*3);let e=4,n=0,r=1,a=2,l=3,d=0,m=i,y=i*2,v=-1;f==="RGB"&&(e=3,n=0,r=1,a=2,l=-1),s==="RGBA"?v=i*3:s==="RBG"?(d=0,y=i,m=i*2):s==="BGR"&&(y=0,m=i,d=i*2);for(let T=0;T<i;T++,n+=e,a+=e,r+=e,l+=e)t[d++]=(u[n]+c)/o,t[m++]=(u[r]+c)/o,t[y++]=(u[a]+c)/o,v!==-1&&l!==-1&&(t[v++]=(u[l]+c)/o);return s==="RGBA"?new at("float32",t,[1,4,g,p]):new at("float32",t,[1,3,g,p])}static async fromImage(u,b){const g=typeof HTMLImageElement<"u"&&u instanceof HTMLImageElement,p=typeof ImageData<"u"&&u instanceof ImageData,h=typeof ImageBitmap<"u"&&u instanceof ImageBitmap,o=typeof String<"u"&&(u instanceof String||typeof u=="string");let c,f={};if(g){const s=document.createElement("canvas"),i=s.getContext("2d");if(i!=null){let t=u.naturalHeight,e=u.naturalWidth;if(b!==void 0&&b.resizedHeight!==void 0&&b.resizedWidth!==void 0&&(t=b.resizedHeight,e=b.resizedWidth),b!==void 0){if(f=b,b.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");if(f.tensorFormat="RGBA",b.height!==void 0&&b.height!==t)throw new Error("Image input config height doesn't match HTMLImageElement height");if(f.height=t,b.width!==void 0&&b.width!==e)throw new Error("Image input config width doesn't match HTMLImageElement width");f.width=e}else f.tensorFormat="RGBA",f.height=t,f.width=e;s.width=e,s.height=t,i.drawImage(u,0,0,e,t),c=i.getImageData(0,0,e,t).data}else throw new Error("Can not access image data")}else if(p){const s="RGBA";let i,t;if(b!==void 0&&b.resizedWidth!==void 0&&b.resizedHeight!==void 0?(i=b.resizedHeight,t=b.resizedWidth):(i=u.height,t=u.width),b!==void 0){if(f=b,b.bitmapFormat!==void 0&&b.bitmapFormat!==s)throw new Error("Image input config format must be RGBA for ImageData");f.bitmapFormat="RGBA"}else f.bitmapFormat="RGBA";if(f.height=i,f.width=t,b!==void 0){const e=document.createElement("canvas");e.width=t,e.height=i;const n=e.getContext("2d");if(n!=null)n.putImageData(u,0,0),c=n.getImageData(0,0,t,i).data;else throw new Error("Can not access image data")}else c=u.data}else if(h){if(b===void 0)throw new Error("Please provide image config with format for Imagebitmap");if(b.bitmapFormat!==void 0)throw new Error("Image input config format must be defined for ImageBitmap");const s=document.createElement("canvas").getContext("2d");if(s!=null){const i=u.height,t=u.width;if(s.drawImage(u,0,0,t,i),c=s.getImageData(0,0,t,i).data,b!==void 0){if(b.height!==void 0&&b.height!==i)throw new Error("Image input config height doesn't match ImageBitmap height");if(f.height=i,b.width!==void 0&&b.width!==t)throw new Error("Image input config width doesn't match ImageBitmap width");f.width=t}else f.height=i,f.width=t;return at.bufferToTensor(c,f)}else throw new Error("Can not access image data")}else{if(o)return new Promise((s,i)=>{const t=document.createElement("canvas"),e=t.getContext("2d");if(!u||!e)return i();const n=new Image;n.crossOrigin="Anonymous",n.src=u,n.onload=()=>{t.width=n.width,t.height=n.height,e.drawImage(n,0,0,t.width,t.height);const r=e.getImageData(0,0,t.width,t.height);if(b!==void 0){if(b.height!==void 0&&b.height!==t.height)throw new Error("Image input config height doesn't match ImageBitmap height");if(f.height=t.height,b.width!==void 0&&b.width!==t.width)throw new Error("Image input config width doesn't match ImageBitmap width");f.width=t.width}else f.height=t.height,f.width=t.width;s(at.bufferToTensor(r.data,f))}});throw new Error("Input data provided is not supported - aborted tensor creation")}if(c!==void 0)return at.bufferToTensor(c,f);throw new Error("Input data provided is not supported - aborted tensor creation")}toImageData(u){var b,g;const p=document.createElement("canvas").getContext("2d");let h;if(p!=null){const o=this.dims[3],c=this.dims[2],f=this.dims[1],s=u!==void 0&&u.format!==void 0?u.format:"RGB",i=u!==void 0&&((b=u.norm)===null||b===void 0?void 0:b.mean)!==void 0?u.norm.mean:255,t=u!==void 0&&((g=u.norm)===null||g===void 0?void 0:g.bias)!==void 0?u.norm.bias:0,e=c*o;if(u!==void 0){if(u.height!==void 0&&u.height!==c)throw new Error("Image output config height doesn't match tensor height");if(u.width!==void 0&&u.width!==o)throw new Error("Image output config width doesn't match tensor width");if(u.format!==void 0&&f===4&&u.format!=="RGBA"||f===3&&u.format!=="RGB"&&u.format!=="BGR")throw new Error("Tensor format doesn't match input tensor dims")}const n=4;let r=0,a=1,l=2,d=3,m=0,y=e,v=e*2,_=-1;s==="RGBA"?(m=0,y=e,v=e*2,_=e*3):s==="RGB"?(m=0,y=e,v=e*2):s==="RBG"&&(m=0,v=e,y=e*2),h=p.createImageData(o,c);for(let T=0;T<c*o;r+=n,a+=n,l+=n,d+=n,T++)h.data[r]=(this.data[m++]-t)*i,h.data[a]=(this.data[y++]-t)*i,h.data[l]=(this.data[v++]-t)*i,h.data[d]=_===-1?255:(this.data[_++]-t)*i}else throw new Error("Can not access image data");return h}reshape(u){return new at(this.type,this.data,u)}};const Tensor=Tensor$1;let InferenceSession$1=class cn{constructor(u){this.handler=u}async run(u,b,g){const p={};let h={};if(typeof u!="object"||u===null||u instanceof Tensor||Array.isArray(u))throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.");let o=!0;if(typeof b=="object"){if(b===null)throw new TypeError("Unexpected argument[1]: cannot be null.");if(b instanceof Tensor)throw new TypeError("'fetches' cannot be a Tensor");if(Array.isArray(b)){if(b.length===0)throw new TypeError("'fetches' cannot be an empty array.");o=!1;for(const s of b){if(typeof s!="string")throw new TypeError("'fetches' must be a string array or an object.");if(this.outputNames.indexOf(s)===-1)throw new RangeError(`'fetches' contains invalid output name: ${s}.`);p[s]=null}if(typeof g=="object"&&g!==null)h=g;else if(typeof g<"u")throw new TypeError("'options' must be an object.")}else{let s=!1;const i=Object.getOwnPropertyNames(b);for(const t of this.outputNames)if(i.indexOf(t)!==-1){const e=b[t];(e===null||e instanceof Tensor)&&(s=!0,o=!1,p[t]=e)}if(s){if(typeof g=="object"&&g!==null)h=g;else if(typeof g<"u")throw new TypeError("'options' must be an object.")}else h=b}}else if(typeof b<"u")throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");for(const s of this.inputNames)if(typeof u[s]>"u")throw new Error(`input '${s}' is missing in 'feeds'.`);if(o)for(const s of this.outputNames)p[s]=null;const c=await this.handler.run(u,p,h),f={};for(const s in 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diff --git a/assets/index-CprOqayC.js b/assets/index-DY0WpASX.js
similarity index 92%
rename from assets/index-CprOqayC.js
rename to assets/index-DY0WpASX.js
index f034c7649ff0541774e5c7f8028521f54e8998ef..0a7a23f14866f297d810279b3418f6aba8057836 100644
--- a/assets/index-CprOqayC.js
+++ b/assets/index-DY0WpASX.js
@@ -1 +1 @@
-import{d as r,bE as l,q as c,bw as d,A as p,o as u,c as _,a as t,e as o,D as n}from"./index-BYewP6KR.js";const x={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},m={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},b={"text-nowrap":"","text-3xl":"","font-semibold":""},h=r({__name:"index",setup(w){const i=l(),{t:s}=c();return(y,e)=>{const a=d("motion");return p((u(),_("div",x,[t("button",{onClick:e[0]||(e[0]=g=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",m,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",b,n(o(s)("settings.pages.memory.title")),1)])])),[[a]])}}});export{h as default};
+import{d as r,bE as l,q as c,bw as d,A as p,o as u,c as _,a as t,e as o,D as n}from"./index-CL4rmUJ-.js";const x={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},m={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},b={"text-nowrap":"","text-3xl":"","font-semibold":""},h=r({__name:"index",setup(w){const i=l(),{t:s}=c();return(y,e)=>{const a=d("motion");return p((u(),_("div",x,[t("button",{onClick:e[0]||(e[0]=g=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",m,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",b,n(o(s)("settings.pages.memory.title")),1)])])),[[a]])}}});export{h as default};
diff --git a/assets/index-Cu67dzFi.js b/assets/index-Di3jPqPB.js
similarity index 92%
rename from assets/index-Cu67dzFi.js
rename to assets/index-Di3jPqPB.js
index 8754ceb1bf04a474c923b38939c7589e4961696e..bedf54207d541fa1c75eed4b1c8d99ac069aad66 100644
--- a/assets/index-Cu67dzFi.js
+++ b/assets/index-Di3jPqPB.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as k,bE as b,q as I,v as w,h as C,bw as S,c as r,o as n,A as d,a as i,x as l,C as m,e as s,D as g,bx as u,by as A}from"./index-BYewP6KR.js";import{I as B}from"./IconStatusItem-DXrpg97R.js";import{_ as D}from"./IconAnimation.vue_vue_type_script_setup_true_lang-Bm3hGrtj.js";import{u as z}from"./useIconAnimation-B3hjTK1u.js";import{b as p}from"./route-block-B_A1xBdJ.js";const E={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},L={relative:""},N={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},V={text:"neutral-300 dark:neutral-500","text-nowrap":""},$={"text-nowrap":"","text-3xl":"","font-semibold":""},q={grid:"~ cols-1 sm:cols-2 gap-4"},F={key:1,text:"neutral-200/50 dark:neutral-500/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},P=k({__name:"index",setup(R){const f=b(),{t:e}=I(),y=w(),x=C(()=>[{id:"consciousness",name:e("settings.pages.modules.consciousness.title"),description:e("settings.pages.modules.consciousness.description"),icon:"i-lucide:ghost",to:"/settings/modules/consciousness",configured:!1},{id:"speech",name:e("settings.pages.modules.speech.title"),description:e("settings.pages.modules.speech.description"),icon:"i-lucide:mic",to:"/settings/modules/speech",configured:!1},{id:"hearing",name:e("settings.pages.modules.hearing.title"),description:e("settings.pages.modules.hearing.description"),icon:"i-lucide:ear",to:"",configured:!1},{id:"vision",name:e("settings.pages.modules.vision.title"),description:e("settings.pages.modules.vision.description"),icon:"i-lucide:eye",to:"",configured:!1},{id:"memory-short-term",name:e("settings.pages.modules.memory-short-term.title"),description:e("settings.pages.modules.memory-short-term.description"),icon:"i-lucide:book",to:"/settings/modules/memory-short-term",configured:!1},{id:"memory-long-term",name:e("settings.pages.modules.memory-long-term.title"),description:e("settings.pages.modules.memory-long-term.description"),icon:"i-lucide:book-copy",to:"/settings/modules/memory-long-term",configured:!1},{id:"messaging-discord",name:e("settings.pages.modules.messaging-discord.title"),description:e("settings.pages.modules.messaging-discord.description"),icon:"i-simple-icons:discord",to:"",configured:!1},{id:"x",name:e("settings.pages.modules.x.title"),description:e("settings.pages.modules.x.description"),icon:"i-simple-icons:x",to:"",configured:!1},{id:"game-minecraft",name:e("settings.pages.modules.gaming-minecraft.title"),description:e("settings.pages.modules.gaming-minecraft.description"),iconColor:"i-vscode-icons:file-type-minecraft",to:"",configured:!1},{id:"game-factorio",name:e("settings.pages.modules.gaming-factorio.title"),description:e("settings.pages.modules.gaming-factorio.description"),iconImage:"",to:"",configured:!1}]),{iconAnimationStarted:v,showIconAnimation:_,animationIcon:h}=z("i-lucide:blocks");return(T,o)=>{const a=S("motion");return n(),r(u,null,[d((n(),r("div",E,[i("button",{onClick:o[0]||(o[0]=t=>s(f).back())},o[1]||(o[1]=[i("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),i("h1",L,[i("div",N,[i("span",V,g(s(e)("settings.title")),1)]),i("div",$,g(s(e)("settings.pages.modules.title")),1)])])),[[a]]),i("div",q,[(n(!0),r(u,null,A(x.value,(t,c)=>d((n(),l(s(B),{key:t.id,initial:{opacity:0,y:10},enter:{opacity:1,y:0},duration:250+c*10,delay:c*50,title:t.name,description:t.description,icon:t.icon,"icon-color":t.iconColor,"icon-image":t.iconImage,to:t.to,configured:t.configured},null,8,["duration","delay","title","description","icon","icon-color","icon-image","to","configured"])),[[a]])),128))]),s(_)?(n(),l(D,{key:0,icon:s(h),"icon-size":12,duration:1e3,started:s(v),"is-reverse":!0,"z-index":-1,"text-color":"text-neutral-200/50 dark:text-neutral-600/20",position:"calc(100dvw - 9.5rem), calc(100dvh - 9.5rem)"},null,8,["icon","started"])):m("",!0),s(y).usePageSpecificTransitions?m("",!0):(n(),r("div",F,o[2]||(o[2]=[i("div",{text:"40","i-lucide:blocks":""},null,-1)])))],64)}}});typeof p=="function"&&p(P);export{P as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as k,bE as b,q as I,v as w,h as C,bw as S,c as r,o as n,A as d,a as i,x as l,C as m,e as s,D as g,bx as u,by as A}from"./index-CL4rmUJ-.js";import{I as B}from"./IconStatusItem-CKiy6LHl.js";import{_ as D}from"./IconAnimation.vue_vue_type_script_setup_true_lang-Cz87WWfY.js";import{u as z}from"./useIconAnimation-D_Q3CYV7.js";import{b as p}from"./route-block-B_A1xBdJ.js";const E={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},L={relative:""},N={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},V={text:"neutral-300 dark:neutral-500","text-nowrap":""},$={"text-nowrap":"","text-3xl":"","font-semibold":""},q={grid:"~ cols-1 sm:cols-2 gap-4"},F={key:1,text:"neutral-200/50 dark:neutral-500/20","pointer-events-none":"",fixed:"","bottom-0":"","right-0":"","z--1":"","translate-x-10":"","translate-y-10":""},P=k({__name:"index",setup(R){const f=b(),{t:e}=I(),y=w(),x=C(()=>[{id:"consciousness",name:e("settings.pages.modules.consciousness.title"),description:e("settings.pages.modules.consciousness.description"),icon:"i-lucide:ghost",to:"/settings/modules/consciousness",configured:!1},{id:"speech",name:e("settings.pages.modules.speech.title"),description:e("settings.pages.modules.speech.description"),icon:"i-lucide:mic",to:"/settings/modules/speech",configured:!1},{id:"hearing",name:e("settings.pages.modules.hearing.title"),description:e("settings.pages.modules.hearing.description"),icon:"i-lucide:ear",to:"",configured:!1},{id:"vision",name:e("settings.pages.modules.vision.title"),description:e("settings.pages.modules.vision.description"),icon:"i-lucide:eye",to:"",configured:!1},{id:"memory-short-term",name:e("settings.pages.modules.memory-short-term.title"),description:e("settings.pages.modules.memory-short-term.description"),icon:"i-lucide:book",to:"/settings/modules/memory-short-term",configured:!1},{id:"memory-long-term",name:e("settings.pages.modules.memory-long-term.title"),description:e("settings.pages.modules.memory-long-term.description"),icon:"i-lucide:book-copy",to:"/settings/modules/memory-long-term",configured:!1},{id:"messaging-discord",name:e("settings.pages.modules.messaging-discord.title"),description:e("settings.pages.modules.messaging-discord.description"),icon:"i-simple-icons:discord",to:"",configured:!1},{id:"x",name:e("settings.pages.modules.x.title"),description:e("settings.pages.modules.x.description"),icon:"i-simple-icons:x",to:"",configured:!1},{id:"game-minecraft",name:e("settings.pages.modules.gaming-minecraft.title"),description:e("settings.pages.modules.gaming-minecraft.description"),iconColor:"i-vscode-icons:file-type-minecraft",to:"",configured:!1},{id:"game-factorio",name:e("settings.pages.modules.gaming-factorio.title"),description:e("settings.pages.modules.gaming-factorio.description"),iconImage:"",to:"",configured:!1}]),{iconAnimationStarted:v,showIconAnimation:_,animationIcon:h}=z("i-lucide:blocks");return(T,o)=>{const a=S("motion");return n(),r(u,null,[d((n(),r("div",E,[i("button",{onClick:o[0]||(o[0]=t=>s(f).back())},o[1]||(o[1]=[i("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),i("h1",L,[i("div",N,[i("span",V,g(s(e)("settings.title")),1)]),i("div",$,g(s(e)("settings.pages.modules.title")),1)])])),[[a]]),i("div",q,[(n(!0),r(u,null,A(x.value,(t,c)=>d((n(),l(s(B),{key:t.id,initial:{opacity:0,y:10},enter:{opacity:1,y:0},duration:250+c*10,delay:c*50,title:t.name,description:t.description,icon:t.icon,"icon-color":t.iconColor,"icon-image":t.iconImage,to:t.to,configured:t.configured},null,8,["duration","delay","title","description","icon","icon-color","icon-image","to","configured"])),[[a]])),128))]),s(_)?(n(),l(D,{key:0,icon:s(h),"icon-size":12,duration:1e3,started:s(v),"is-reverse":!0,"z-index":-1,"text-color":"text-neutral-200/50 dark:text-neutral-600/20",position:"calc(100dvw - 9.5rem), calc(100dvh - 9.5rem)"},null,8,["icon","started"])):m("",!0),s(y).usePageSpecificTransitions?m("",!0):(n(),r("div",F,o[2]||(o[2]=[i("div",{text:"40","i-lucide:blocks":""},null,-1)])))],64)}}});typeof p=="function"&&p(P);export{P as default};
diff --git a/assets/index-BYKB2VRI.js b/assets/index-NSbcQ-qE.js
similarity index 84%
rename from assets/index-BYKB2VRI.js
rename to assets/index-NSbcQ-qE.js
index 7702db882abc59b6804d62a1ec83db1202c9ec3c..d34e6d27fe440739b41555040c79451968c0d280 100644
--- a/assets/index-BYKB2VRI.js
+++ b/assets/index-NSbcQ-qE.js
@@ -1,5 +1,5 @@
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-      `})),Ft.uniforms.blitTexture.value=t,Ft.defines.IS_SRGB="colorSpace"in t?t.colorSpace==="srgb":t.encoding===3001,Ft.needsUpdate=!0,En||(En=new Pt(lr,Ft),En.frustrumCulled=!1);const r=new Et,i=new Pr;i.add(En),n||(n=An=new il({antialias:!1})),n.setSize(Math.min(t.image.width,e),Math.min(t.image.height,e)),n.clear(),n.render(i,r);const o=new Fn(n.domElement);return o.minFilter=t.minFilter,o.magFilter=t.magFilter,o.wrapS=t.wrapS,o.wrapT=t.wrapT,o.name=t.name,An&&(An.dispose(),An=null),o}const ji={POSITION:["byte","byte normalized","unsigned byte","unsigned byte normalized","short","short normalized","unsigned short","unsigned short normalized"],NORMAL:["byte normalized","short normalized"],TANGENT:["byte normalized","short normalized"],TEXCOORD:["byte","byte normalized","unsigned byte","short","short normalized","unsigned short"]};class bs{constructor(){this.pluginCallbacks=[],this.register(function(e){return new Hu(e)}),this.register(function(e){return new Gu(e)}),this.register(function(e){return new Yu(e)}),this.register(function(e){return new Ku(e)}),this.register(function(e){return new Wu(e)}),this.register(function(e){return new Xu(e)}),this.register(function(e){return new $u(e)}),this.register(function(e){return new qu(e)}),this.register(function(e){return new Qu(e)}),this.register(function(e){return new Zu(e)}),this.register(function(e){return new Ju(e)})}register(e){return this.pluginCallbacks.indexOf(e)===-1&&this.pluginCallbacks.push(e),this}unregister(e){return this.pluginCallbacks.indexOf(e)!==-1&&this.pluginCallbacks.splice(this.pluginCallbacks.indexOf(e),1),this}parse(e,n,r,i){const o=new Vu,s=[];for(let a=0,l=this.pluginCallbacks.length;a<l;a++)s.push(this.pluginCallbacks[a](o));o.setPlugins(s),o.write(e,n,i).catch(r)}parseAsync(e,n){const r=this;return new Promise(function(i,o){r.parse(e,i,o,n)})}}Lu(bs,"Utils",{insertKeyframe:function(t,e){const n=t.getValueSize(),r=new t.TimeBufferType(t.times.length+1),i=new t.ValueBufferType(t.values.length+n),o=t.createInterpolant(new t.ValueBufferType(n));let s;if(t.times.length===0){r[0]=e;for(let a=0;a<n;a++)i[a]=0;s=0}else if(e<t.times[0]){if(Math.abs(t.times[0]-e)<.001)return 0;r[0]=e,r.set(t.times,1),i.set(o.evaluate(e),0),i.set(t.values,n),s=0}else if(e>t.times[t.times.length-1]){if(Math.abs(t.times[t.times.length-1]-e)<.001)return t.times.length-1;r[r.length-1]=e,r.set(t.times,0),i.set(t.values,0),i.set(o.evaluate(e),t.values.length),s=r.length-1}else for(let a=0;a<t.times.length;a++){if(Math.abs(t.times[a]-e)<.001)return a;if(t.times[a]<e&&t.times[a+1]>e){r.set(t.times.slice(0,a+1),0),r[a+1]=e,r.set(t.times.slice(a+1),a+2),i.set(t.values.slice(0,(a+1)*n),0),i.set(o.evaluate(e),(a+1)*n),i.set(t.values.slice((a+1)*n),(a+2)*n),s=a+1;break}}return t.times=r,t.values=i,s},mergeMorphTargetTracks:function(t,e){const n=[],r={},i=t.tracks;for(let o=0;o<i.length;++o){let s=i[o];const a=hn.parseTrackName(s.name),l=hn.findNode(e,a.nodeName);if(a.propertyName!=="morphTargetInfluences"||a.propertyIndex===void 0){n.push(s);continue}if(s.createInterpolant!==s.InterpolantFactoryMethodDiscrete&&s.createInterpolant!==s.InterpolantFactoryMethodLinear){if(s.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline)throw new Error("THREE.GLTFExporter: Cannot merge tracks with glTF CUBICSPLINE interpolation.");console.warn("THREE.GLTFExporter: Morph target interpolation mode not yet supported. Using LINEAR instead."),s=s.clone(),s.setInterpolation(ti)}const u=l.morphTargetInfluences.length,c=l.morphTargetDictionary[a.propertyIndex];if(c===void 0)throw new Error("THREE.GLTFExporter: Morph target name not found: "+a.propertyIndex);let f;if(r[l.uuid]===void 0){f=s.clone();const d=new f.ValueBufferType(u*f.times.length);for(let b=0;b<f.times.length;b++)d[b*u+c]=f.values[b];f.name=(a.nodeName||"")+".morphTargetInfluences",f.values=d,r[l.uuid]=f,n.push(f);continue}const p=s.createInterpolant(new s.ValueBufferType(1));f=r[l.uuid];for(let d=0;d<f.times.length;d++)f.values[d*u+c]=p.evaluate(f.times[d]);for(let d=0;d<s.times.length;d++){const b=this.insertKeyframe(f,s.times[d]);f.values[b*u+c]=s.values[d]}}return t.tracks=n,t}});const me={POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,REPEAT:10497},cr="KHR_mesh_quantization",Je={};Je[Lt]=me.NEAREST;Je[is]=me.NEAREST_MIPMAP_NEAREST;Je[os]=me.NEAREST_MIPMAP_LINEAR;Je[Bn]=me.LINEAR;Je[ss]=me.LINEAR_MIPMAP_NEAREST;Je[oi]=me.LINEAR_MIPMAP_LINEAR;Je[Ht]=me.CLAMP_TO_EDGE;Je[Un]=me.REPEAT;Je[as]=me.MIRRORED_REPEAT;const Vi={scale:"scale",position:"translation",quaternion:"rotation",morphTargetInfluences:"weights"},Pu=new Fe,Hi=12,Du=1179937895,Ou=2,Gi=8,zu=1313821514,Fu=5130562;function un(t,e){return t.length===e.length&&t.every(function(n,r){return n===e[r]})}function Bu(t){return new TextEncoder().encode(t).buffer}function Uu(t){return un(t.elements,[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])}function ju(t,e,n){const r={min:new Array(t.itemSize).fill(Number.POSITIVE_INFINITY),max:new Array(t.itemSize).fill(Number.NEGATIVE_INFINITY)};for(let i=e;i<e+n;i++)for(let o=0;o<t.itemSize;o++){let s;t.itemSize>4?s=t.array[i*t.itemSize+o]:(o===0?s=t.getX(i):o===1?s=t.getY(i):o===2?s=t.getZ(i):o===3&&(s=t.getW(i)),t.normalized===!0&&(s=Dt.normalize(s,t.array))),r.min[o]=Math.min(r.min[o],s),r.max[o]=Math.max(r.max[o],s)}return r}function ws(t){return Math.ceil(t/4)*4}function fr(t,e=0){const n=ws(t.byteLength);if(n!==t.byteLength){const r=new Uint8Array(n);if(r.set(new Uint8Array(t)),e!==0)for(let i=t.byteLength;i<n;i++)r[i]=e;return r.buffer}return t}function $i(){return typeof document>"u"&&typeof OffscreenCanvas<"u"?new OffscreenCanvas(1,1):document.createElement("canvas")}function qi(t,e){if(t.toBlob!==void 0)return new Promise(r=>t.toBlob(r,e));let n;return e==="image/jpeg"?n=.92:e==="image/webp"&&(n=.8),t.convertToBlob({type:e,quality:n})}class Vu{constructor(){this.plugins=[],this.options={},this.pending=[],this.buffers=[],this.byteOffset=0,this.buffers=[],this.nodeMap=new Map,this.skins=[],this.extensionsUsed={},this.extensionsRequired={},this.uids=new Map,this.uid=0,this.json={asset:{version:"2.0",generator:"THREE.GLTFExporter"}},this.cache={meshes:new Map,attributes:new Map,attributesNormalized:new Map,materials:new Map,textures:new Map,images:new Map}}setPlugins(e){this.plugins=e}async write(e,n,r={}){this.options=Object.assign({binary:!1,trs:!1,onlyVisible:!0,maxTextureSize:1/0,animations:[],includeCustomExtensions:!1},r),this.options.animations.length>0&&(this.options.trs=!0),this.processInput(e),await Promise.all(this.pending);const i=this,o=i.buffers,s=i.json;r=i.options;const a=i.extensionsUsed,l=i.extensionsRequired,u=new Blob(o,{type:"application/octet-stream"}),c=Object.keys(a),f=Object.keys(l);c.length>0&&(s.extensionsUsed=c),f.length>0&&(s.extensionsRequired=f),s.buffers&&s.buffers.length>0&&(s.buffers[0].byteLength=u.size),r.binary===!0?u.arrayBuffer().then(p=>{const d=fr(p),b=new DataView(new ArrayBuffer(Gi));b.setUint32(0,d.byteLength,!0),b.setUint32(4,Fu,!0);const x=fr(Bu(JSON.stringify(s)),32),v=new DataView(new ArrayBuffer(Gi));v.setUint32(0,x.byteLength,!0),v.setUint32(4,zu,!0);const T=new ArrayBuffer(Hi),I=new DataView(T);I.setUint32(0,Du,!0),I.setUint32(4,Ou,!0);const A=Hi+v.byteLength+x.byteLength+b.byteLength+d.byteLength;I.setUint32(8,A,!0),new Blob([T,v,x,b,d],{type:"application/octet-stream"}).arrayBuffer().then(n)}):s.buffers&&s.buffers.length>0?Ui(u).then(p=>{s.buffers[0].uri=p,n(s)}):n(s)}serializeUserData(e,n){if(Object.keys(e.userData).length===0)return;const r=this.options,i=this.extensionsUsed;try{const o=JSON.parse(JSON.stringify(e.userData));if(r.includeCustomExtensions&&o.gltfExtensions){n.extensions===void 0&&(n.extensions={});for(const s in o.gltfExtensions)n.extensions[s]=o.gltfExtensions[s],i[s]=!0;delete o.gltfExtensions}Object.keys(o).length>0&&(n.extras=o)}catch(o){console.warn("THREE.GLTFExporter: userData of '"+e.name+"' won't be serialized because of JSON.stringify error - "+o.message)}}getUID(e,n=!1){if(this.uids.has(e)===!1){const r=new Map;r.set(!0,this.uid++),r.set(!1,this.uid++),this.uids.set(e,r)}return this.uids.get(e).get(n)}isNormalizedNormalAttribute(e){if(this.cache.attributesNormalized.has(e))return!1;const n=new se;for(let r=0,i=e.count;r<i;r++)if(Math.abs(n.fromBufferAttribute(e,r).length()-1)>5e-4)return!1;return!0}createNormalizedNormalAttribute(e){const n=this.cache;if(n.attributesNormalized.has(e))return n.attributesNormalized.get(e);const r=e.clone(),i=new se;for(let o=0,s=r.count;o<s;o++)i.fromBufferAttribute(r,o),i.x===0&&i.y===0&&i.z===0?i.setX(1):i.normalize(),r.setXYZ(o,i.x,i.y,i.z);return n.attributesNormalized.set(e,r),r}applyTextureTransform(e,n){let r=!1;const i={};(n.offset.x!==0||n.offset.y!==0)&&(i.offset=n.offset.toArray(),r=!0),n.rotation!==0&&(i.rotation=n.rotation,r=!0),(n.repeat.x!==1||n.repeat.y!==1)&&(i.scale=n.repeat.toArray(),r=!0),r&&(e.extensions=e.extensions||{},e.extensions.KHR_texture_transform=i,this.extensionsUsed.KHR_texture_transform=!0)}buildMetalRoughTexture(e,n){if(e===n)return e;function r(p){return("colorSpace"in p?p.colorSpace==="srgb":p.encoding===3001)?function(d){return d<.04045?d*.0773993808:Math.pow(d*.9478672986+.0521327014,2.4)}:function(d){return d}}console.warn("THREE.GLTFExporter: Merged metalnessMap and roughnessMap textures."),e instanceof er&&(e=ur(e)),n instanceof er&&(n=ur(n));const i=e?e.image:null,o=n?n.image:null,s=Math.max(i?i.width:0,o?o.width:0),a=Math.max(i?i.height:0,o?o.height:0),l=$i();l.width=s,l.height=a;const u=l.getContext("2d");u.fillStyle="#00ffff",u.fillRect(0,0,s,a);const c=u.getImageData(0,0,s,a);if(i){u.drawImage(i,0,0,s,a);const p=r(e),d=u.getImageData(0,0,s,a).data;for(let b=2;b<d.length;b+=4)c.data[b]=p(d[b]/256)*256}if(o){u.drawImage(o,0,0,s,a);const p=r(n),d=u.getImageData(0,0,s,a).data;for(let b=1;b<d.length;b+=4)c.data[b]=p(d[b]/256)*256}u.putImageData(c,0,0);const f=(e||n).clone();return f.source=new Fn(l).source,"colorSpace"in f?f.colorSpace="":f.encoding=3e3,f.channel=(e||n).channel,e&&n&&e.channel!==n.channel&&console.warn("THREE.GLTFExporter: UV channels for metalnessMap and roughnessMap textures must match."),f}processBuffer(e){const n=this.json,r=this.buffers;return n.buffers||(n.buffers=[{byteLength:0}]),r.push(e),0}processBufferView(e,n,r,i,o){const s=this.json;s.bufferViews||(s.bufferViews=[]);let a;switch(n){case me.BYTE:case me.UNSIGNED_BYTE:a=1;break;case me.SHORT:case me.UNSIGNED_SHORT:a=2;break;default:a=4}const l=ws(i*e.itemSize*a),u=new DataView(new ArrayBuffer(l));let c=0;for(let p=r;p<r+i;p++)for(let d=0;d<e.itemSize;d++){let b;e.itemSize>4?b=e.array[p*e.itemSize+d]:(d===0?b=e.getX(p):d===1?b=e.getY(p):d===2?b=e.getZ(p):d===3&&(b=e.getW(p)),e.normalized===!0&&(b=Dt.normalize(b,e.array))),n===me.FLOAT?u.setFloat32(c,b,!0):n===me.INT?u.setInt32(c,b,!0):n===me.UNSIGNED_INT?u.setUint32(c,b,!0):n===me.SHORT?u.setInt16(c,b,!0):n===me.UNSIGNED_SHORT?u.setUint16(c,b,!0):n===me.BYTE?u.setInt8(c,b):n===me.UNSIGNED_BYTE&&u.setUint8(c,b),c+=a}const f={buffer:this.processBuffer(u.buffer),byteOffset:this.byteOffset,byteLength:l};return o!==void 0&&(f.target=o),o===me.ARRAY_BUFFER&&(f.byteStride=e.itemSize*a),this.byteOffset+=l,s.bufferViews.push(f),{id:s.bufferViews.length-1,byteLength:0}}processBufferViewImage(e){const n=this,r=n.json;return r.bufferViews||(r.bufferViews=[]),e.arrayBuffer().then(i=>{const o=fr(i),s={buffer:n.processBuffer(o),byteOffset:n.byteOffset,byteLength:o.byteLength};return n.byteOffset+=o.byteLength,r.bufferViews.push(s)-1})}processAccessor(e,n,r,i){const o=this.json,s={1:"SCALAR",2:"VEC2",3:"VEC3",4:"VEC4",9:"MAT3",16:"MAT4"};let a;if(e.array.constructor===Float32Array)a=me.FLOAT;else if(e.array.constructor===Int32Array)a=me.INT;else if(e.array.constructor===Uint32Array)a=me.UNSIGNED_INT;else if(e.array.constructor===Int16Array)a=me.SHORT;else if(e.array.constructor===Uint16Array)a=me.UNSIGNED_SHORT;else if(e.array.constructor===Int8Array)a=me.BYTE;else if(e.array.constructor===Uint8Array)a=me.UNSIGNED_BYTE;else throw new Error("THREE.GLTFExporter: Unsupported bufferAttribute component type: "+e.array.constructor.name);if(r===void 0&&(r=0),i===void 0&&(i=e.count),i===0)return null;const l=ju(e,r,i);let u;n!==void 0&&(u=e===n.index?me.ELEMENT_ARRAY_BUFFER:me.ARRAY_BUFFER);const c=this.processBufferView(e,a,r,i,u),f={bufferView:c.id,byteOffset:c.byteOffset,componentType:a,count:i,max:l.max,min:l.min,type:s[e.itemSize]};return e.normalized===!0&&(f.normalized=!0),o.accessors||(o.accessors=[]),o.accessors.push(f)-1}processImage(e,n,r,i="image/png"){if(e!==null){const o=this,s=o.cache,a=o.json,l=o.options,u=o.pending;s.images.has(e)||s.images.set(e,{});const c=s.images.get(e),f=i+":flipY/"+r.toString();if(c[f]!==void 0)return c[f];a.images||(a.images=[]);const p={mimeType:i},d=$i();d.width=Math.min(e.width,l.maxTextureSize),d.height=Math.min(e.height,l.maxTextureSize);const b=d.getContext("2d");if(r===!0&&(b.translate(0,d.height),b.scale(1,-1)),e.data!==void 0){n!==Lr&&console.error("GLTFExporter: Only RGBAFormat is supported.",n),(e.width>l.maxTextureSize||e.height>l.maxTextureSize)&&console.warn("GLTFExporter: Image size is bigger than maxTextureSize",e);const v=new Uint8ClampedArray(e.height*e.width*4);for(let T=0;T<v.length;T+=4)v[T+0]=e.data[T+0],v[T+1]=e.data[T+1],v[T+2]=e.data[T+2],v[T+3]=e.data[T+3];b.putImageData(new ImageData(v,e.width,e.height),0,0)}else b.drawImage(e,0,0,d.width,d.height);l.binary===!0?u.push(qi(d,i).then(v=>o.processBufferViewImage(v)).then(v=>{p.bufferView=v})):d.toDataURL!==void 0?p.uri=d.toDataURL(i):u.push(qi(d,i).then(Ui).then(v=>{p.uri=v}));const x=a.images.push(p)-1;return c[f]=x,x}else throw new Error("THREE.GLTFExporter: No valid image data found. Unable to process texture.")}processSampler(e){const n=this.json;n.samplers||(n.samplers=[]);const r={magFilter:Je[e.magFilter],minFilter:Je[e.minFilter],wrapS:Je[e.wrapS],wrapT:Je[e.wrapT]};return n.samplers.push(r)-1}processTexture(e){const n=this.options,r=this.cache,i=this.json;if(r.textures.has(e))return r.textures.get(e);i.textures||(i.textures=[]),e instanceof er&&(e=ur(e,n.maxTextureSize));let o=e.userData.mimeType;o==="image/webp"&&(o="image/png");const s={sampler:this.processSampler(e),source:this.processImage(e.image,e.format,e.flipY,o)};e.name&&(s.name=e.name),this._invokeAll(function(l){l.writeTexture&&l.writeTexture(e,s)});const a=i.textures.push(s)-1;return r.textures.set(e,a),a}processMaterial(e){const n=this.cache,r=this.json;if(n.materials.has(e))return n.materials.get(e);if(e.isShaderMaterial)return console.warn("GLTFExporter: THREE.ShaderMaterial not supported."),null;r.materials||(r.materials=[]);const i={pbrMetallicRoughness:{}};e.isMeshStandardMaterial!==!0&&e.isMeshBasicMaterial!==!0&&console.warn("GLTFExporter: Use MeshStandardMaterial or MeshBasicMaterial for best results.");const o=e.color.toArray().concat([e.opacity]);if(un(o,[1,1,1,1])||(i.pbrMetallicRoughness.baseColorFactor=o),e.isMeshStandardMaterial?(i.pbrMetallicRoughness.metallicFactor=e.metalness,i.pbrMetallicRoughness.roughnessFactor=e.roughness):(i.pbrMetallicRoughness.metallicFactor=.5,i.pbrMetallicRoughness.roughnessFactor=.5),e.metalnessMap||e.roughnessMap){const a=this.buildMetalRoughTexture(e.metalnessMap,e.roughnessMap),l={index:this.processTexture(a),channel:a.channel};this.applyTextureTransform(l,a),i.pbrMetallicRoughness.metallicRoughnessTexture=l}if(e.map){const a={index:this.processTexture(e.map),texCoord:e.map.channel};this.applyTextureTransform(a,e.map),i.pbrMetallicRoughness.baseColorTexture=a}if(e.emissive){const a=e.emissive;if(Math.max(a.r,a.g,a.b)>0&&(i.emissiveFactor=e.emissive.toArray()),e.emissiveMap){const l={index:this.processTexture(e.emissiveMap),texCoord:e.emissiveMap.channel};this.applyTextureTransform(l,e.emissiveMap),i.emissiveTexture=l}}if(e.normalMap){const a={index:this.processTexture(e.normalMap),texCoord:e.normalMap.channel};e.normalScale&&e.normalScale.x!==1&&(a.scale=e.normalScale.x),this.applyTextureTransform(a,e.normalMap),i.normalTexture=a}if(e.aoMap){const a={index:this.processTexture(e.aoMap),texCoord:e.aoMap.channel};e.aoMapIntensity!==1&&(a.strength=e.aoMapIntensity),this.applyTextureTransform(a,e.aoMap),i.occlusionTexture=a}e.transparent?i.alphaMode="BLEND":e.alphaTest>0&&(i.alphaMode="MASK",i.alphaCutoff=e.alphaTest),e.side===Yn&&(i.doubleSided=!0),e.name!==""&&(i.name=e.name),this.serializeUserData(e,i),this._invokeAll(function(a){a.writeMaterial&&a.writeMaterial(e,i)});const s=r.materials.push(i)-1;return n.materials.set(e,s),s}processMesh(e){const n=this.cache,r=this.json,i=[e.geometry.uuid];if(Array.isArray(e.material))for(let A=0,C=e.material.length;A<C;A++)i.push(e.material[A].uuid);else i.push(e.material.uuid);const o=i.join(":");if(n.meshes.has(o))return n.meshes.get(o);const s=e.geometry;let a;e.isLineSegments?a=me.LINES:e.isLineLoop?a=me.LINE_LOOP:e.isLine?a=me.LINE_STRIP:e.isPoints?a=me.POINTS:a=e.material.wireframe?me.LINES:me.TRIANGLES;const l={},u={},c=[],f=[],p={...fi>=152?{uv:"TEXCOORD_0",uv1:"TEXCOORD_1",uv2:"TEXCOORD_2",uv3:"TEXCOORD_3"}:{uv:"TEXCOORD_0",uv2:"TEXCOORD_1"},color:"COLOR_0",skinWeight:"WEIGHTS_0",skinIndex:"JOINTS_0"},d=s.getAttribute("normal");d!==void 0&&!this.isNormalizedNormalAttribute(d)&&(console.warn("THREE.GLTFExporter: Creating normalized normal attribute from the non-normalized one."),s.setAttribute("normal",this.createNormalizedNormalAttribute(d)));let b=null;for(let A in s.attributes){if(A.slice(0,5)==="morph")continue;const C=s.attributes[A];if(A=p[A]||A.toUpperCase(),/^(POSITION|NORMAL|TANGENT|TEXCOORD_\d+|COLOR_\d+|JOINTS_\d+|WEIGHTS_\d+)$/.test(A)||(A="_"+A),n.attributes.has(this.getUID(C))){u[A]=n.attributes.get(this.getUID(C));continue}b=null;const P=C.array;A==="JOINTS_0"&&!(P instanceof Uint16Array)&&!(P instanceof Uint8Array)&&(console.warn('GLTFExporter: Attribute "skinIndex" converted to type UNSIGNED_SHORT.'),b=new Nt(new Uint16Array(P),C.itemSize,C.normalized));const h=this.processAccessor(b||C,s);h!==null&&(A.startsWith("_")||this.detectMeshQuantization(A,C),u[A]=h,n.attributes.set(this.getUID(C),h))}if(d!==void 0&&s.setAttribute("normal",d),Object.keys(u).length===0)return null;if(e.morphTargetInfluences!==void 0&&e.morphTargetInfluences.length>0){const A=[],C=[],P={};if(e.morphTargetDictionary!==void 0)for(const h in e.morphTargetDictionary)P[e.morphTargetDictionary[h]]=h;for(let h=0;h<e.morphTargetInfluences.length;++h){const S={};let y=!1;for(const g in s.morphAttributes){if(g!=="position"&&g!=="normal"){y||(console.warn("GLTFExporter: Only POSITION and NORMAL morph are supported."),y=!0);continue}const m=s.morphAttributes[g][h],k=g.toUpperCase(),E=s.attributes[g];if(n.attributes.has(this.getUID(m,!0))){S[k]=n.attributes.get(this.getUID(m,!0));continue}const O=m.clone();if(!s.morphTargetsRelative)for(let F=0,D=m.count;F<D;F++)for(let B=0;B<m.itemSize;B++)B===0&&O.setX(F,m.getX(F)-E.getX(F)),B===1&&O.setY(F,m.getY(F)-E.getY(F)),B===2&&O.setZ(F,m.getZ(F)-E.getZ(F)),B===3&&O.setW(F,m.getW(F)-E.getW(F));S[k]=this.processAccessor(O,s),n.attributes.set(this.getUID(E,!0),S[k])}f.push(S),A.push(e.morphTargetInfluences[h]),e.morphTargetDictionary!==void 0&&C.push(P[h])}l.weights=A,C.length>0&&(l.extras={},l.extras.targetNames=C)}const x=Array.isArray(e.material);if(x&&s.groups.length===0)return null;const v=x?e.material:[e.material],T=x?s.groups:[{materialIndex:0,start:void 0,count:void 0}];for(let A=0,C=T.length;A<C;A++){const P={mode:a,attributes:u};if(this.serializeUserData(s,P),f.length>0&&(P.targets=f),s.index!==null){let S=this.getUID(s.index);(T[A].start!==void 0||T[A].count!==void 0)&&(S+=":"+T[A].start+":"+T[A].count),n.attributes.has(S)?P.indices=n.attributes.get(S):(P.indices=this.processAccessor(s.index,s,T[A].start,T[A].count),n.attributes.set(S,P.indices)),P.indices===null&&delete P.indices}const h=this.processMaterial(v[T[A].materialIndex]);h!==null&&(P.material=h),c.push(P)}l.primitives=c,r.meshes||(r.meshes=[]),this._invokeAll(function(A){A.writeMesh&&A.writeMesh(e,l)});const I=r.meshes.push(l)-1;return n.meshes.set(o,I),I}detectMeshQuantization(e,n){if(this.extensionsUsed[cr])return;let r;switch(n.array.constructor){case Int8Array:r="byte";break;case Uint8Array:r="unsigned byte";break;case Int16Array:r="short";break;case Uint16Array:r="unsigned short";break;default:return}n.normalized&&(r+=" normalized");const i=e.split("_",1)[0];ji[i]&&ji[i].includes(r)&&(this.extensionsUsed[cr]=!0,this.extensionsRequired[cr]=!0)}processCamera(e){const n=this.json;n.cameras||(n.cameras=[]);const r=e.isOrthographicCamera,i={type:r?"orthographic":"perspective"};return r?i.orthographic={xmag:e.right*2,ymag:e.top*2,zfar:e.far<=0?.001:e.far,znear:e.near<0?0:e.near}:i.perspective={aspectRatio:e.aspect,yfov:Dt.degToRad(e.fov),zfar:e.far<=0?.001:e.far,znear:e.near<0?0:e.near},e.name!==""&&(i.name=e.type),n.cameras.push(i)-1}processAnimation(e,n){const r=this.json,i=this.nodeMap;r.animations||(r.animations=[]),e=bs.Utils.mergeMorphTargetTracks(e.clone(),n);const o=e.tracks,s=[],a=[];for(let l=0;l<o.length;++l){const u=o[l],c=hn.parseTrackName(u.name);let f=hn.findNode(n,c.nodeName);const p=Vi[c.propertyName];if(c.objectName==="bones"&&(f.isSkinnedMesh===!0?f=f.skeleton.getBoneByName(c.objectIndex):f=void 0),!f||!p)return console.warn('THREE.GLTFExporter: Could not export animation track "%s".',u.name),null;const d=1;let b=u.values.length/u.times.length;p===Vi.morphTargetInfluences&&(b/=f.morphTargetInfluences.length);let x;u.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline===!0?(x="CUBICSPLINE",b/=3):u.getInterpolation()===rs?x="STEP":x="LINEAR",a.push({input:this.processAccessor(new Nt(u.times,d)),output:this.processAccessor(new Nt(u.values,b)),interpolation:x}),s.push({sampler:a.length-1,target:{node:i.get(f),path:p}})}return r.animations.push({name:e.name||"clip_"+r.animations.length,samplers:a,channels:s}),r.animations.length-1}processSkin(e){const n=this.json,r=this.nodeMap,i=n.nodes[r.get(e)],o=e.skeleton;if(o===void 0)return null;const s=e.skeleton.bones[0];if(s===void 0)return null;const a=[],l=new Float32Array(o.bones.length*16),u=new xt;for(let c=0;c<o.bones.length;++c)a.push(r.get(o.bones[c])),u.copy(o.boneInverses[c]),u.multiply(e.bindMatrix).toArray(l,c*16);return n.skins===void 0&&(n.skins=[]),n.skins.push({inverseBindMatrices:this.processAccessor(new Nt(l,16)),joints:a,skeleton:r.get(s)}),i.skin=n.skins.length-1}processNode(e){const n=this.json,r=this.options,i=this.nodeMap;n.nodes||(n.nodes=[]);const o={};if(r.trs){const a=e.quaternion.toArray(),l=e.position.toArray(),u=e.scale.toArray();un(a,[0,0,0,1])||(o.rotation=a),un(l,[0,0,0])||(o.translation=l),un(u,[1,1,1])||(o.scale=u)}else e.matrixAutoUpdate&&e.updateMatrix(),Uu(e.matrix)===!1&&(o.matrix=e.matrix.elements);if(e.name!==""&&(o.name=String(e.name)),this.serializeUserData(e,o),e.isMesh||e.isLine||e.isPoints){const a=this.processMesh(e);a!==null&&(o.mesh=a)}else e.isCamera&&(o.camera=this.processCamera(e));if(e.isSkinnedMesh&&this.skins.push(e),e.children.length>0){const a=[];for(let l=0,u=e.children.length;l<u;l++){const c=e.children[l];if(c.visible||r.onlyVisible===!1){const f=this.processNode(c);f!==null&&a.push(f)}}a.length>0&&(o.children=a)}this._invokeAll(function(a){a.writeNode&&a.writeNode(e,o)});const s=n.nodes.push(o)-1;return i.set(e,s),s}processScene(e){const n=this.json,r=this.options;n.scenes||(n.scenes=[],n.scene=0);const i={};e.name!==""&&(i.name=e.name),n.scenes.push(i);const o=[];for(let s=0,a=e.children.length;s<a;s++){const l=e.children[s];if(l.visible||r.onlyVisible===!1){const u=this.processNode(l);u!==null&&o.push(u)}}o.length>0&&(i.nodes=o),this.serializeUserData(e,i)}processObjects(e){const n=new Pr;n.name="AuxScene";for(let r=0;r<e.length;r++)n.children.push(e[r]);this.processScene(n)}processInput(e){const n=this.options;e=e instanceof Array?e:[e],this._invokeAll(function(i){i.beforeParse&&i.beforeParse(e)});const r=[];for(let i=0;i<e.length;i++)e[i]instanceof Pr?this.processScene(e[i]):r.push(e[i]);r.length>0&&this.processObjects(r);for(let i=0;i<this.skins.length;++i)this.processSkin(this.skins[i]);for(let i=0;i<n.animations.length;++i)this.processAnimation(n.animations[i],e[0]);this._invokeAll(function(i){i.afterParse&&i.afterParse(e)})}_invokeAll(e){for(let n=0,r=this.plugins.length;n<r;n++)e(this.plugins[n])}}class Hu{constructor(e){this.writer=e,this.name="KHR_lights_punctual"}writeNode(e,n){if(!e.isLight)return;if(!e.isDirectionalLight&&!e.isPointLight&&!e.isSpotLight){console.warn("THREE.GLTFExporter: Only directional, point, and spot lights are supported.",e);return}const r=this.writer,i=r.json,o=r.extensionsUsed,s={};e.name&&(s.name=e.name),s.color=e.color.toArray(),s.intensity=e.intensity,e.isDirectionalLight?s.type="directional":e.isPointLight?(s.type="point",e.distance>0&&(s.range=e.distance)):e.isSpotLight&&(s.type="spot",e.distance>0&&(s.range=e.distance),s.spot={},s.spot.innerConeAngle=(e.penumbra-1)*e.angle*-1,s.spot.outerConeAngle=e.angle),e.decay!==void 0&&e.decay!==2&&console.warn("THREE.GLTFExporter: Light decay may be lost. glTF is physically-based, and expects light.decay=2."),e.target&&(e.target.parent!==e||e.target.position.x!==0||e.target.position.y!==0||e.target.position.z!==-1)&&console.warn("THREE.GLTFExporter: Light direction may be lost. For best results, make light.target a child of the light with position 0,0,-1."),o[this.name]||(i.extensions=i.extensions||{},i.extensions[this.name]={lights:[]},o[this.name]=!0);const a=i.extensions[this.name].lights;a.push(s),n.extensions=n.extensions||{},n.extensions[this.name]={light:a.length-1}}}let Gu=class{constructor(t){this.writer=t,this.name="KHR_materials_unlit"}writeMaterial(t,e){if(!t.isMeshBasicMaterial)return;const n=this.writer.extensionsUsed;e.extensions=e.extensions||{},e.extensions[this.name]={},n[this.name]=!0,e.pbrMetallicRoughness.metallicFactor=0,e.pbrMetallicRoughness.roughnessFactor=.9}},$u=class{constructor(t){this.writer=t,this.name="KHR_materials_clearcoat"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.clearcoat===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.clearcoatFactor=t.clearcoat,t.clearcoatMap){const o={index:n.processTexture(t.clearcoatMap),texCoord:t.clearcoatMap.channel};n.applyTextureTransform(o,t.clearcoatMap),i.clearcoatTexture=o}if(i.clearcoatRoughnessFactor=t.clearcoatRoughness,t.clearcoatRoughnessMap){const o={index:n.processTexture(t.clearcoatRoughnessMap),texCoord:t.clearcoatRoughnessMap.channel};n.applyTextureTransform(o,t.clearcoatRoughnessMap),i.clearcoatRoughnessTexture=o}if(t.clearcoatNormalMap){const o={index:n.processTexture(t.clearcoatNormalMap),texCoord:t.clearcoatNormalMap.channel};n.applyTextureTransform(o,t.clearcoatNormalMap),i.clearcoatNormalTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},qu=class{constructor(t){this.writer=t,this.name="KHR_materials_iridescence"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.iridescence===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.iridescenceFactor=t.iridescence,t.iridescenceMap){const 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o={index:n.processTexture(t.transmissionMap),texCoord:t.transmissionMap.channel};n.applyTextureTransform(o,t.transmissionMap),i.transmissionTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Ku=class{constructor(t){this.writer=t,this.name="KHR_materials_volume"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.transmission===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.thicknessFactor=t.thickness,t.thicknessMap){const o={index:n.processTexture(t.thicknessMap),texCoord:t.thicknessMap.channel};n.applyTextureTransform(o,t.thicknessMap),i.thicknessTexture=o}i.attenuationDistance=t.attenuationDistance,i.attenuationColor=t.attenuationColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Wu=class{constructor(t){this.writer=t,this.name="KHR_materials_ior"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.ior===1.5)return;const n=this.writer.extensionsUsed,r={};r.ior=t.ior,e.extensions=e.extensions||{},e.extensions[this.name]=r,n[this.name]=!0}},Xu=class{constructor(t){this.writer=t,this.name="KHR_materials_specular"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.specularIntensity===1&&t.specularColor.equals(Pu)&&!t.specularIntensityMap&&!t.specularColorTexture)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.specularIntensityMap){const o={index:n.processTexture(t.specularIntensityMap),texCoord:t.specularIntensityMap.channel};n.applyTextureTransform(o,t.specularIntensityMap),i.specularTexture=o}if(t.specularColorMap){const o={index:n.processTexture(t.specularColorMap),texCoord:t.specularColorMap.channel};n.applyTextureTransform(o,t.specularColorMap),i.specularColorTexture=o}i.specularFactor=t.specularIntensity,i.specularColorFactor=t.specularColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Qu=class{constructor(t){this.writer=t,this.name="KHR_materials_sheen"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.sheen==0)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.sheenRoughnessMap){const o={index:n.processTexture(t.sheenRoughnessMap),texCoord:t.sheenRoughnessMap.channel};n.applyTextureTransform(o,t.sheenRoughnessMap),i.sheenRoughnessTexture=o}if(t.sheenColorMap){const o={index:n.processTexture(t.sheenColorMap),texCoord:t.sheenColorMap.channel};n.applyTextureTransform(o,t.sheenColorMap),i.sheenColorTexture=o}i.sheenRoughnessFactor=t.sheenRoughness,i.sheenColorFactor=t.sheenColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Zu=class{constructor(t){this.writer=t,this.name="KHR_materials_anisotropy"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.anisotropy==0)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.anisotropyMap){const o={index:n.processTexture(t.anisotropyMap)};n.applyTextureTransform(o,t.anisotropyMap),i.anisotropyTexture=o}i.anisotropyStrength=t.anisotropy,i.anisotropyRotation=t.anisotropyRotation,e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Ju=class{constructor(t){this.writer=t,this.name="KHR_materials_emissive_strength"}writeMaterial(t,e){if(!t.isMeshStandardMaterial||t.emissiveIntensity===1)return;const n=this.writer.extensionsUsed,r={};r.emissiveStrength=t.emissiveIntensity,e.extensions=e.extensions||{},e.extensions[this.name]=r,n[this.name]=!0}};var xn=Uint8Array,Ts=Uint16Array,ec=Uint32Array,tc=new xn([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0,0,0,0]),nc=new xn([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,0,0]),ks=function(t,e){for(var n=new Ts(31),r=0;r<31;++r)n[r]=e+=1<<t[r-1];for(var i=new ec(n[30]),r=1;r<30;++r)for(var o=n[r];o<n[r+1];++o)i[o]=o-n[r]<<5|r;return[n,i]},_s=ks(tc,2),rc=_s[0],ic=_s[1];rc[28]=258,ic[258]=28;ks(nc,0);var oc=new Ts(32768);for(var Ne=0;Ne<32768;++Ne){var wt=(Ne&43690)>>>1|(Ne&21845)<<1;wt=(wt&52428)>>>2|(wt&13107)<<2,wt=(wt&61680)>>>4|(wt&3855)<<4,oc[Ne]=((wt&65280)>>>8|(wt&255)<<8)>>>1}var Wn=new xn(288);for(var Ne=0;Ne<144;++Ne)Wn[Ne]=8;for(var Ne=144;Ne<256;++Ne)Wn[Ne]=9;for(var Ne=256;Ne<280;++Ne)Wn[Ne]=7;for(var Ne=280;Ne<288;++Ne)Wn[Ne]=8;var sc=new xn(32);for(var Ne=0;Ne<32;++Ne)sc[Ne]=5;var ac=new xn(0),lc=typeof TextDecoder<"u"&&new TextDecoder,uc=0;try{lc.decode(ac,{stream:!0}),uc=1}catch{}var cc=Object.defineProperty,fc=(t,e,n)=>e in t?cc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,dc=(t,e,n)=>(fc(t,e+"",n),n);const As=class extends Pt{constructor(t,e={}){super(t),this.isReflector=!0,this.type="Reflector",this.camera=new Et;const n=this,r=e.color!==void 0?new Fe(e.color):new Fe(8355711),i=e.textureWidth||512,o=e.textureHeight||512,s=e.clipBias||0,a=e.shader||As.ReflectorShader,l=e.multisample!==void 0?e.multisample:4,u=new Xo,c=new se,f=new se,p=new se,d=new xt,b=new se(0,0,-1),x=new Mt,v=new se,T=new se,I=new Mt,A=new xt,C=this.camera,P=new Za(i,o,{samples:l,type:Ja}),h=new yn({uniforms:ri.clone(a.uniforms),fragmentShader:a.fragmentShader,vertexShader:a.vertexShader});h.uniforms.tDiffuse.value=P.texture,h.uniforms.color.value=r,h.uniforms.textureMatrix.value=A,this.material=h,this.onBeforeRender=function(S,y,g){if(f.setFromMatrixPosition(n.matrixWorld),p.setFromMatrixPosition(g.matrixWorld),d.extractRotation(n.matrixWorld),c.set(0,0,1),c.applyMatrix4(d),v.subVectors(f,p),v.dot(c)>0)return;v.reflect(c).negate(),v.add(f),d.extractRotation(g.matrixWorld),b.set(0,0,-1),b.applyMatrix4(d),b.add(p),T.subVectors(f,b),T.reflect(c).negate(),T.add(f),C.position.copy(v),C.up.set(0,1,0),C.up.applyMatrix4(d),C.up.reflect(c),C.lookAt(T),C.far=g.far,C.updateMatrixWorld(),C.projectionMatrix.copy(g.projectionMatrix),A.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1),A.multiply(C.projectionMatrix),A.multiply(C.matrixWorldInverse),A.multiply(n.matrixWorld),u.setFromNormalAndCoplanarPoint(c,f),u.applyMatrix4(C.matrixWorldInverse),x.set(u.normal.x,u.normal.y,u.normal.z,u.constant);const m=C.projectionMatrix;I.x=(Math.sign(x.x)+m.elements[8])/m.elements[0],I.y=(Math.sign(x.y)+m.elements[9])/m.elements[5],I.z=-1,I.w=(1+m.elements[10])/m.elements[14],x.multiplyScalar(2/x.dot(I)),m.elements[2]=x.x,m.elements[6]=x.y,m.elements[10]=x.z+1-s,m.elements[14]=x.w,n.visible=!1;const k=S.getRenderTarget(),E=S.xr.enabled,O=S.shadowMap.autoUpdate,F=S.toneMapping;let D=!1;"outputColorSpace"in S?D=S.outputColorSpace==="srgb":D=S.outputEncoding===3001,S.xr.enabled=!1,S.shadowMap.autoUpdate=!1,"outputColorSpace"in S?S.outputColorSpace="srgb-linear":S.outputEncoding=3e3,S.toneMapping=el,S.setRenderTarget(P),S.state.buffers.depth.setMask(!0),S.autoClear===!1&&S.clear(),S.render(y,C),S.xr.enabled=E,S.shadowMap.autoUpdate=O,S.toneMapping=F,"outputColorSpace"in S?S.outputColorSpace=D?"srgb":"srgb-linear":S.outputEncoding=D?3001:3e3,S.setRenderTarget(k);const B=g.viewport;B!==void 0&&S.state.viewport(B),n.visible=!0},this.getRenderTarget=function(){return P},this.dispose=function(){P.dispose(),n.material.dispose()}}};let zr=As;dc(zr,"ReflectorShader",{uniforms:{color:{value:null},tDiffuse:{value:null},textureMatrix:{value:null}},vertexShader:`
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e==="image/jpeg"?n=.92:e==="image/webp"&&(n=.8),t.convertToBlob({type:e,quality:n})}class Gu{constructor(){this.plugins=[],this.options={},this.pending=[],this.buffers=[],this.byteOffset=0,this.buffers=[],this.nodeMap=new Map,this.skins=[],this.extensionsUsed={},this.extensionsRequired={},this.uids=new Map,this.uid=0,this.json={asset:{version:"2.0",generator:"THREE.GLTFExporter"}},this.cache={meshes:new Map,attributes:new Map,attributesNormalized:new Map,materials:new Map,textures:new Map,images:new Map}}setPlugins(e){this.plugins=e}async write(e,n,r={}){this.options=Object.assign({binary:!1,trs:!1,onlyVisible:!0,maxTextureSize:1/0,animations:[],includeCustomExtensions:!1},r),this.options.animations.length>0&&(this.options.trs=!0),this.processInput(e),await Promise.all(this.pending);const i=this,o=i.buffers,s=i.json;r=i.options;const a=i.extensionsUsed,l=i.extensionsRequired,u=new Blob(o,{type:"application/octet-stream"}),c=Object.keys(a),f=Object.keys(l);c.length>0&&(s.extensionsUsed=c),f.length>0&&(s.extensionsRequired=f),s.buffers&&s.buffers.length>0&&(s.buffers[0].byteLength=u.size),r.binary===!0?u.arrayBuffer().then(p=>{const d=fr(p),b=new DataView(new ArrayBuffer(Gi));b.setUint32(0,d.byteLength,!0),b.setUint32(4,Uu,!0);const x=fr(ju(JSON.stringify(s)),32),v=new DataView(new ArrayBuffer(Gi));v.setUint32(0,x.byteLength,!0),v.setUint32(4,Bu,!0);const T=new ArrayBuffer(Hi),I=new DataView(T);I.setUint32(0,zu,!0),I.setUint32(4,Fu,!0);const A=Hi+v.byteLength+x.byteLength+b.byteLength+d.byteLength;I.setUint32(8,A,!0),new Blob([T,v,x,b,d],{type:"application/octet-stream"}).arrayBuffer().then(n)}):s.buffers&&s.buffers.length>0?Ui(u).then(p=>{s.buffers[0].uri=p,n(s)}):n(s)}serializeUserData(e,n){if(Object.keys(e.userData).length===0)return;const r=this.options,i=this.extensionsUsed;try{const o=JSON.parse(JSON.stringify(e.userData));if(r.includeCustomExtensions&&o.gltfExtensions){n.extensions===void 0&&(n.extensions={});for(const s in o.gltfExtensions)n.extensions[s]=o.gltfExtensions[s],i[s]=!0;delete o.gltfExtensions}Object.keys(o).length>0&&(n.extras=o)}catch(o){console.warn("THREE.GLTFExporter: userData of '"+e.name+"' won't be serialized because of JSON.stringify error - "+o.message)}}getUID(e,n=!1){if(this.uids.has(e)===!1){const r=new Map;r.set(!0,this.uid++),r.set(!1,this.uid++),this.uids.set(e,r)}return this.uids.get(e).get(n)}isNormalizedNormalAttribute(e){if(this.cache.attributesNormalized.has(e))return!1;const n=new se;for(let r=0,i=e.count;r<i;r++)if(Math.abs(n.fromBufferAttribute(e,r).length()-1)>5e-4)return!1;return!0}createNormalizedNormalAttribute(e){const n=this.cache;if(n.attributesNormalized.has(e))return n.attributesNormalized.get(e);const r=e.clone(),i=new se;for(let o=0,s=r.count;o<s;o++)i.fromBufferAttribute(r,o),i.x===0&&i.y===0&&i.z===0?i.setX(1):i.normalize(),r.setXYZ(o,i.x,i.y,i.z);return n.attributesNormalized.set(e,r),r}applyTextureTransform(e,n){let r=!1;const i={};(n.offset.x!==0||n.offset.y!==0)&&(i.offset=n.offset.toArray(),r=!0),n.rotation!==0&&(i.rotation=n.rotation,r=!0),(n.repeat.x!==1||n.repeat.y!==1)&&(i.scale=n.repeat.toArray(),r=!0),r&&(e.extensions=e.extensions||{},e.extensions.KHR_texture_transform=i,this.extensionsUsed.KHR_texture_transform=!0)}buildMetalRoughTexture(e,n){if(e===n)return e;function r(p){return("colorSpace"in p?p.colorSpace==="srgb":p.encoding===3001)?function(d){return d<.04045?d*.0773993808:Math.pow(d*.9478672986+.0521327014,2.4)}:function(d){return d}}console.warn("THREE.GLTFExporter: Merged metalnessMap and roughnessMap textures."),e instanceof er&&(e=ur(e)),n instanceof er&&(n=ur(n));const i=e?e.image:null,o=n?n.image:null,s=Math.max(i?i.width:0,o?o.width:0),a=Math.max(i?i.height:0,o?o.height:0),l=$i();l.width=s,l.height=a;const u=l.getContext("2d");u.fillStyle="#00ffff",u.fillRect(0,0,s,a);const c=u.getImageData(0,0,s,a);if(i){u.drawImage(i,0,0,s,a);const p=r(e),d=u.getImageData(0,0,s,a).data;for(let b=2;b<d.length;b+=4)c.data[b]=p(d[b]/256)*256}if(o){u.drawImage(o,0,0,s,a);const p=r(n),d=u.getImageData(0,0,s,a).data;for(let b=1;b<d.length;b+=4)c.data[b]=p(d[b]/256)*256}u.putImageData(c,0,0);const f=(e||n).clone();return f.source=new Fn(l).source,"colorSpace"in f?f.colorSpace="":f.encoding=3e3,f.channel=(e||n).channel,e&&n&&e.channel!==n.channel&&console.warn("THREE.GLTFExporter: UV channels for metalnessMap and roughnessMap textures must match."),f}processBuffer(e){const n=this.json,r=this.buffers;return n.buffers||(n.buffers=[{byteLength:0}]),r.push(e),0}processBufferView(e,n,r,i,o){const s=this.json;s.bufferViews||(s.bufferViews=[]);let a;switch(n){case me.BYTE:case me.UNSIGNED_BYTE:a=1;break;case me.SHORT:case me.UNSIGNED_SHORT:a=2;break;default:a=4}const l=ws(i*e.itemSize*a),u=new DataView(new ArrayBuffer(l));let c=0;for(let p=r;p<r+i;p++)for(let d=0;d<e.itemSize;d++){let b;e.itemSize>4?b=e.array[p*e.itemSize+d]:(d===0?b=e.getX(p):d===1?b=e.getY(p):d===2?b=e.getZ(p):d===3&&(b=e.getW(p)),e.normalized===!0&&(b=Dt.normalize(b,e.array))),n===me.FLOAT?u.setFloat32(c,b,!0):n===me.INT?u.setInt32(c,b,!0):n===me.UNSIGNED_INT?u.setUint32(c,b,!0):n===me.SHORT?u.setInt16(c,b,!0):n===me.UNSIGNED_SHORT?u.setUint16(c,b,!0):n===me.BYTE?u.setInt8(c,b):n===me.UNSIGNED_BYTE&&u.setUint8(c,b),c+=a}const f={buffer:this.processBuffer(u.buffer),byteOffset:this.byteOffset,byteLength:l};return o!==void 0&&(f.target=o),o===me.ARRAY_BUFFER&&(f.byteStride=e.itemSize*a),this.byteOffset+=l,s.bufferViews.push(f),{id:s.bufferViews.length-1,byteLength:0}}processBufferViewImage(e){const n=this,r=n.json;return r.bufferViews||(r.bufferViews=[]),e.arrayBuffer().then(i=>{const o=fr(i),s={buffer:n.processBuffer(o),byteOffset:n.byteOffset,byteLength:o.byteLength};return n.byteOffset+=o.byteLength,r.bufferViews.push(s)-1})}processAccessor(e,n,r,i){const o=this.json,s={1:"SCALAR",2:"VEC2",3:"VEC3",4:"VEC4",9:"MAT3",16:"MAT4"};let a;if(e.array.constructor===Float32Array)a=me.FLOAT;else if(e.array.constructor===Int32Array)a=me.INT;else if(e.array.constructor===Uint32Array)a=me.UNSIGNED_INT;else if(e.array.constructor===Int16Array)a=me.SHORT;else if(e.array.constructor===Uint16Array)a=me.UNSIGNED_SHORT;else if(e.array.constructor===Int8Array)a=me.BYTE;else if(e.array.constructor===Uint8Array)a=me.UNSIGNED_BYTE;else throw new Error("THREE.GLTFExporter: Unsupported bufferAttribute component type: "+e.array.constructor.name);if(r===void 0&&(r=0),i===void 0&&(i=e.count),i===0)return null;const l=Hu(e,r,i);let u;n!==void 0&&(u=e===n.index?me.ELEMENT_ARRAY_BUFFER:me.ARRAY_BUFFER);const c=this.processBufferView(e,a,r,i,u),f={bufferView:c.id,byteOffset:c.byteOffset,componentType:a,count:i,max:l.max,min:l.min,type:s[e.itemSize]};return e.normalized===!0&&(f.normalized=!0),o.accessors||(o.accessors=[]),o.accessors.push(f)-1}processImage(e,n,r,i="image/png"){if(e!==null){const o=this,s=o.cache,a=o.json,l=o.options,u=o.pending;s.images.has(e)||s.images.set(e,{});const c=s.images.get(e),f=i+":flipY/"+r.toString();if(c[f]!==void 0)return c[f];a.images||(a.images=[]);const p={mimeType:i},d=$i();d.width=Math.min(e.width,l.maxTextureSize),d.height=Math.min(e.height,l.maxTextureSize);const b=d.getContext("2d");if(r===!0&&(b.translate(0,d.height),b.scale(1,-1)),e.data!==void 0){n!==Lr&&console.error("GLTFExporter: Only RGBAFormat is supported.",n),(e.width>l.maxTextureSize||e.height>l.maxTextureSize)&&console.warn("GLTFExporter: Image size is bigger than maxTextureSize",e);const v=new Uint8ClampedArray(e.height*e.width*4);for(let T=0;T<v.length;T+=4)v[T+0]=e.data[T+0],v[T+1]=e.data[T+1],v[T+2]=e.data[T+2],v[T+3]=e.data[T+3];b.putImageData(new ImageData(v,e.width,e.height),0,0)}else b.drawImage(e,0,0,d.width,d.height);l.binary===!0?u.push(qi(d,i).then(v=>o.processBufferViewImage(v)).then(v=>{p.bufferView=v})):d.toDataURL!==void 0?p.uri=d.toDataURL(i):u.push(qi(d,i).then(Ui).then(v=>{p.uri=v}));const x=a.images.push(p)-1;return c[f]=x,x}else throw new Error("THREE.GLTFExporter: No valid image data found. Unable to process texture.")}processSampler(e){const n=this.json;n.samplers||(n.samplers=[]);const r={magFilter:Je[e.magFilter],minFilter:Je[e.minFilter],wrapS:Je[e.wrapS],wrapT:Je[e.wrapT]};return n.samplers.push(r)-1}processTexture(e){const n=this.options,r=this.cache,i=this.json;if(r.textures.has(e))return r.textures.get(e);i.textures||(i.textures=[]),e instanceof er&&(e=ur(e,n.maxTextureSize));let o=e.userData.mimeType;o==="image/webp"&&(o="image/png");const s={sampler:this.processSampler(e),source:this.processImage(e.image,e.format,e.flipY,o)};e.name&&(s.name=e.name),this._invokeAll(function(l){l.writeTexture&&l.writeTexture(e,s)});const a=i.textures.push(s)-1;return r.textures.set(e,a),a}processMaterial(e){const n=this.cache,r=this.json;if(n.materials.has(e))return n.materials.get(e);if(e.isShaderMaterial)return console.warn("GLTFExporter: THREE.ShaderMaterial not supported."),null;r.materials||(r.materials=[]);const i={pbrMetallicRoughness:{}};e.isMeshStandardMaterial!==!0&&e.isMeshBasicMaterial!==!0&&console.warn("GLTFExporter: Use MeshStandardMaterial or MeshBasicMaterial for best results.");const o=e.color.toArray().concat([e.opacity]);if(un(o,[1,1,1,1])||(i.pbrMetallicRoughness.baseColorFactor=o),e.isMeshStandardMaterial?(i.pbrMetallicRoughness.metallicFactor=e.metalness,i.pbrMetallicRoughness.roughnessFactor=e.roughness):(i.pbrMetallicRoughness.metallicFactor=.5,i.pbrMetallicRoughness.roughnessFactor=.5),e.metalnessMap||e.roughnessMap){const a=this.buildMetalRoughTexture(e.metalnessMap,e.roughnessMap),l={index:this.processTexture(a),channel:a.channel};this.applyTextureTransform(l,a),i.pbrMetallicRoughness.metallicRoughnessTexture=l}if(e.map){const a={index:this.processTexture(e.map),texCoord:e.map.channel};this.applyTextureTransform(a,e.map),i.pbrMetallicRoughness.baseColorTexture=a}if(e.emissive){const a=e.emissive;if(Math.max(a.r,a.g,a.b)>0&&(i.emissiveFactor=e.emissive.toArray()),e.emissiveMap){const l={index:this.processTexture(e.emissiveMap),texCoord:e.emissiveMap.channel};this.applyTextureTransform(l,e.emissiveMap),i.emissiveTexture=l}}if(e.normalMap){const a={index:this.processTexture(e.normalMap),texCoord:e.normalMap.channel};e.normalScale&&e.normalScale.x!==1&&(a.scale=e.normalScale.x),this.applyTextureTransform(a,e.normalMap),i.normalTexture=a}if(e.aoMap){const a={index:this.processTexture(e.aoMap),texCoord:e.aoMap.channel};e.aoMapIntensity!==1&&(a.strength=e.aoMapIntensity),this.applyTextureTransform(a,e.aoMap),i.occlusionTexture=a}e.transparent?i.alphaMode="BLEND":e.alphaTest>0&&(i.alphaMode="MASK",i.alphaCutoff=e.alphaTest),e.side===Yn&&(i.doubleSided=!0),e.name!==""&&(i.name=e.name),this.serializeUserData(e,i),this._invokeAll(function(a){a.writeMaterial&&a.writeMaterial(e,i)});const s=r.materials.push(i)-1;return n.materials.set(e,s),s}processMesh(e){const n=this.cache,r=this.json,i=[e.geometry.uuid];if(Array.isArray(e.material))for(let A=0,C=e.material.length;A<C;A++)i.push(e.material[A].uuid);else i.push(e.material.uuid);const o=i.join(":");if(n.meshes.has(o))return n.meshes.get(o);const s=e.geometry;let a;e.isLineSegments?a=me.LINES:e.isLineLoop?a=me.LINE_LOOP:e.isLine?a=me.LINE_STRIP:e.isPoints?a=me.POINTS:a=e.material.wireframe?me.LINES:me.TRIANGLES;const l={},u={},c=[],f=[],p={...fi>=152?{uv:"TEXCOORD_0",uv1:"TEXCOORD_1",uv2:"TEXCOORD_2",uv3:"TEXCOORD_3"}:{uv:"TEXCOORD_0",uv2:"TEXCOORD_1"},color:"COLOR_0",skinWeight:"WEIGHTS_0",skinIndex:"JOINTS_0"},d=s.getAttribute("normal");d!==void 0&&!this.isNormalizedNormalAttribute(d)&&(console.warn("THREE.GLTFExporter: Creating normalized normal attribute from the non-normalized one."),s.setAttribute("normal",this.createNormalizedNormalAttribute(d)));let b=null;for(let A in s.attributes){if(A.slice(0,5)==="morph")continue;const C=s.attributes[A];if(A=p[A]||A.toUpperCase(),/^(POSITION|NORMAL|TANGENT|TEXCOORD_\d+|COLOR_\d+|JOINTS_\d+|WEIGHTS_\d+)$/.test(A)||(A="_"+A),n.attributes.has(this.getUID(C))){u[A]=n.attributes.get(this.getUID(C));continue}b=null;const P=C.array;A==="JOINTS_0"&&!(P instanceof Uint16Array)&&!(P instanceof Uint8Array)&&(console.warn('GLTFExporter: Attribute "skinIndex" converted to type UNSIGNED_SHORT.'),b=new Nt(new Uint16Array(P),C.itemSize,C.normalized));const h=this.processAccessor(b||C,s);h!==null&&(A.startsWith("_")||this.detectMeshQuantization(A,C),u[A]=h,n.attributes.set(this.getUID(C),h))}if(d!==void 0&&s.setAttribute("normal",d),Object.keys(u).length===0)return null;if(e.morphTargetInfluences!==void 0&&e.morphTargetInfluences.length>0){const A=[],C=[],P={};if(e.morphTargetDictionary!==void 0)for(const h in e.morphTargetDictionary)P[e.morphTargetDictionary[h]]=h;for(let h=0;h<e.morphTargetInfluences.length;++h){const S={};let y=!1;for(const g in s.morphAttributes){if(g!=="position"&&g!=="normal"){y||(console.warn("GLTFExporter: Only POSITION and NORMAL morph are supported."),y=!0);continue}const m=s.morphAttributes[g][h],k=g.toUpperCase(),E=s.attributes[g];if(n.attributes.has(this.getUID(m,!0))){S[k]=n.attributes.get(this.getUID(m,!0));continue}const O=m.clone();if(!s.morphTargetsRelative)for(let F=0,D=m.count;F<D;F++)for(let B=0;B<m.itemSize;B++)B===0&&O.setX(F,m.getX(F)-E.getX(F)),B===1&&O.setY(F,m.getY(F)-E.getY(F)),B===2&&O.setZ(F,m.getZ(F)-E.getZ(F)),B===3&&O.setW(F,m.getW(F)-E.getW(F));S[k]=this.processAccessor(O,s),n.attributes.set(this.getUID(E,!0),S[k])}f.push(S),A.push(e.morphTargetInfluences[h]),e.morphTargetDictionary!==void 0&&C.push(P[h])}l.weights=A,C.length>0&&(l.extras={},l.extras.targetNames=C)}const x=Array.isArray(e.material);if(x&&s.groups.length===0)return null;const v=x?e.material:[e.material],T=x?s.groups:[{materialIndex:0,start:void 0,count:void 0}];for(let A=0,C=T.length;A<C;A++){const P={mode:a,attributes:u};if(this.serializeUserData(s,P),f.length>0&&(P.targets=f),s.index!==null){let S=this.getUID(s.index);(T[A].start!==void 0||T[A].count!==void 0)&&(S+=":"+T[A].start+":"+T[A].count),n.attributes.has(S)?P.indices=n.attributes.get(S):(P.indices=this.processAccessor(s.index,s,T[A].start,T[A].count),n.attributes.set(S,P.indices)),P.indices===null&&delete P.indices}const h=this.processMaterial(v[T[A].materialIndex]);h!==null&&(P.material=h),c.push(P)}l.primitives=c,r.meshes||(r.meshes=[]),this._invokeAll(function(A){A.writeMesh&&A.writeMesh(e,l)});const I=r.meshes.push(l)-1;return n.meshes.set(o,I),I}detectMeshQuantization(e,n){if(this.extensionsUsed[cr])return;let r;switch(n.array.constructor){case Int8Array:r="byte";break;case Uint8Array:r="unsigned byte";break;case Int16Array:r="short";break;case Uint16Array:r="unsigned short";break;default:return}n.normalized&&(r+=" normalized");const i=e.split("_",1)[0];ji[i]&&ji[i].includes(r)&&(this.extensionsUsed[cr]=!0,this.extensionsRequired[cr]=!0)}processCamera(e){const n=this.json;n.cameras||(n.cameras=[]);const r=e.isOrthographicCamera,i={type:r?"orthographic":"perspective"};return r?i.orthographic={xmag:e.right*2,ymag:e.top*2,zfar:e.far<=0?.001:e.far,znear:e.near<0?0:e.near}:i.perspective={aspectRatio:e.aspect,yfov:Dt.degToRad(e.fov),zfar:e.far<=0?.001:e.far,znear:e.near<0?0:e.near},e.name!==""&&(i.name=e.type),n.cameras.push(i)-1}processAnimation(e,n){const r=this.json,i=this.nodeMap;r.animations||(r.animations=[]),e=bs.Utils.mergeMorphTargetTracks(e.clone(),n);const o=e.tracks,s=[],a=[];for(let l=0;l<o.length;++l){const u=o[l],c=hn.parseTrackName(u.name);let f=hn.findNode(n,c.nodeName);const p=Vi[c.propertyName];if(c.objectName==="bones"&&(f.isSkinnedMesh===!0?f=f.skeleton.getBoneByName(c.objectIndex):f=void 0),!f||!p)return console.warn('THREE.GLTFExporter: Could not export animation track "%s".',u.name),null;const d=1;let b=u.values.length/u.times.length;p===Vi.morphTargetInfluences&&(b/=f.morphTargetInfluences.length);let x;u.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline===!0?(x="CUBICSPLINE",b/=3):u.getInterpolation()===rs?x="STEP":x="LINEAR",a.push({input:this.processAccessor(new Nt(u.times,d)),output:this.processAccessor(new Nt(u.values,b)),interpolation:x}),s.push({sampler:a.length-1,target:{node:i.get(f),path:p}})}return r.animations.push({name:e.name||"clip_"+r.animations.length,samplers:a,channels:s}),r.animations.length-1}processSkin(e){const n=this.json,r=this.nodeMap,i=n.nodes[r.get(e)],o=e.skeleton;if(o===void 0)return null;const s=e.skeleton.bones[0];if(s===void 0)return null;const a=[],l=new Float32Array(o.bones.length*16),u=new xt;for(let c=0;c<o.bones.length;++c)a.push(r.get(o.bones[c])),u.copy(o.boneInverses[c]),u.multiply(e.bindMatrix).toArray(l,c*16);return n.skins===void 0&&(n.skins=[]),n.skins.push({inverseBindMatrices:this.processAccessor(new Nt(l,16)),joints:a,skeleton:r.get(s)}),i.skin=n.skins.length-1}processNode(e){const n=this.json,r=this.options,i=this.nodeMap;n.nodes||(n.nodes=[]);const o={};if(r.trs){const a=e.quaternion.toArray(),l=e.position.toArray(),u=e.scale.toArray();un(a,[0,0,0,1])||(o.rotation=a),un(l,[0,0,0])||(o.translation=l),un(u,[1,1,1])||(o.scale=u)}else e.matrixAutoUpdate&&e.updateMatrix(),Vu(e.matrix)===!1&&(o.matrix=e.matrix.elements);if(e.name!==""&&(o.name=String(e.name)),this.serializeUserData(e,o),e.isMesh||e.isLine||e.isPoints){const a=this.processMesh(e);a!==null&&(o.mesh=a)}else e.isCamera&&(o.camera=this.processCamera(e));if(e.isSkinnedMesh&&this.skins.push(e),e.children.length>0){const a=[];for(let l=0,u=e.children.length;l<u;l++){const c=e.children[l];if(c.visible||r.onlyVisible===!1){const f=this.processNode(c);f!==null&&a.push(f)}}a.length>0&&(o.children=a)}this._invokeAll(function(a){a.writeNode&&a.writeNode(e,o)});const s=n.nodes.push(o)-1;return i.set(e,s),s}processScene(e){const n=this.json,r=this.options;n.scenes||(n.scenes=[],n.scene=0);const i={};e.name!==""&&(i.name=e.name),n.scenes.push(i);const o=[];for(let s=0,a=e.children.length;s<a;s++){const l=e.children[s];if(l.visible||r.onlyVisible===!1){const u=this.processNode(l);u!==null&&o.push(u)}}o.length>0&&(i.nodes=o),this.serializeUserData(e,i)}processObjects(e){const n=new Pr;n.name="AuxScene";for(let r=0;r<e.length;r++)n.children.push(e[r]);this.processScene(n)}processInput(e){const n=this.options;e=e instanceof Array?e:[e],this._invokeAll(function(i){i.beforeParse&&i.beforeParse(e)});const r=[];for(let i=0;i<e.length;i++)e[i]instanceof Pr?this.processScene(e[i]):r.push(e[i]);r.length>0&&this.processObjects(r);for(let i=0;i<this.skins.length;++i)this.processSkin(this.skins[i]);for(let i=0;i<n.animations.length;++i)this.processAnimation(n.animations[i],e[0]);this._invokeAll(function(i){i.afterParse&&i.afterParse(e)})}_invokeAll(e){for(let n=0,r=this.plugins.length;n<r;n++)e(this.plugins[n])}}class $u{constructor(e){this.writer=e,this.name="KHR_lights_punctual"}writeNode(e,n){if(!e.isLight)return;if(!e.isDirectionalLight&&!e.isPointLight&&!e.isSpotLight){console.warn("THREE.GLTFExporter: Only directional, point, and spot lights are supported.",e);return}const r=this.writer,i=r.json,o=r.extensionsUsed,s={};e.name&&(s.name=e.name),s.color=e.color.toArray(),s.intensity=e.intensity,e.isDirectionalLight?s.type="directional":e.isPointLight?(s.type="point",e.distance>0&&(s.range=e.distance)):e.isSpotLight&&(s.type="spot",e.distance>0&&(s.range=e.distance),s.spot={},s.spot.innerConeAngle=(e.penumbra-1)*e.angle*-1,s.spot.outerConeAngle=e.angle),e.decay!==void 0&&e.decay!==2&&console.warn("THREE.GLTFExporter: Light decay may be lost. glTF is physically-based, and expects light.decay=2."),e.target&&(e.target.parent!==e||e.target.position.x!==0||e.target.position.y!==0||e.target.position.z!==-1)&&console.warn("THREE.GLTFExporter: Light direction may be lost. For best results, make light.target a child of the light with position 0,0,-1."),o[this.name]||(i.extensions=i.extensions||{},i.extensions[this.name]={lights:[]},o[this.name]=!0);const a=i.extensions[this.name].lights;a.push(s),n.extensions=n.extensions||{},n.extensions[this.name]={light:a.length-1}}}let qu=class{constructor(t){this.writer=t,this.name="KHR_materials_unlit"}writeMaterial(t,e){if(!t.isMeshBasicMaterial)return;const n=this.writer.extensionsUsed;e.extensions=e.extensions||{},e.extensions[this.name]={},n[this.name]=!0,e.pbrMetallicRoughness.metallicFactor=0,e.pbrMetallicRoughness.roughnessFactor=.9}},Yu=class{constructor(t){this.writer=t,this.name="KHR_materials_clearcoat"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.clearcoat===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.clearcoatFactor=t.clearcoat,t.clearcoatMap){const o={index:n.processTexture(t.clearcoatMap),texCoord:t.clearcoatMap.channel};n.applyTextureTransform(o,t.clearcoatMap),i.clearcoatTexture=o}if(i.clearcoatRoughnessFactor=t.clearcoatRoughness,t.clearcoatRoughnessMap){const o={index:n.processTexture(t.clearcoatRoughnessMap),texCoord:t.clearcoatRoughnessMap.channel};n.applyTextureTransform(o,t.clearcoatRoughnessMap),i.clearcoatRoughnessTexture=o}if(t.clearcoatNormalMap){const o={index:n.processTexture(t.clearcoatNormalMap),texCoord:t.clearcoatNormalMap.channel};n.applyTextureTransform(o,t.clearcoatNormalMap),i.clearcoatNormalTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Ku=class{constructor(t){this.writer=t,this.name="KHR_materials_iridescence"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.iridescence===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.iridescenceFactor=t.iridescence,t.iridescenceMap){const o={index:n.processTexture(t.iridescenceMap),texCoord:t.iridescenceMap.channel};n.applyTextureTransform(o,t.iridescenceMap),i.iridescenceTexture=o}if(i.iridescenceIor=t.iridescenceIOR,i.iridescenceThicknessMinimum=t.iridescenceThicknessRange[0],i.iridescenceThicknessMaximum=t.iridescenceThicknessRange[1],t.iridescenceThicknessMap){const o={index:n.processTexture(t.iridescenceThicknessMap),texCoord:t.iridescenceThicknessMap.channel};n.applyTextureTransform(o,t.iridescenceThicknessMap),i.iridescenceThicknessTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Wu=class{constructor(t){this.writer=t,this.name="KHR_materials_transmission"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.transmission===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.transmissionFactor=t.transmission,t.transmissionMap){const o={index:n.processTexture(t.transmissionMap),texCoord:t.transmissionMap.channel};n.applyTextureTransform(o,t.transmissionMap),i.transmissionTexture=o}e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Xu=class{constructor(t){this.writer=t,this.name="KHR_materials_volume"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.transmission===0)return;const n=this.writer,r=n.extensionsUsed,i={};if(i.thicknessFactor=t.thickness,t.thicknessMap){const o={index:n.processTexture(t.thicknessMap),texCoord:t.thicknessMap.channel};n.applyTextureTransform(o,t.thicknessMap),i.thicknessTexture=o}i.attenuationDistance=t.attenuationDistance,i.attenuationColor=t.attenuationColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Zu=class{constructor(t){this.writer=t,this.name="KHR_materials_ior"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.ior===1.5)return;const n=this.writer.extensionsUsed,r={};r.ior=t.ior,e.extensions=e.extensions||{},e.extensions[this.name]=r,n[this.name]=!0}},Qu=class{constructor(t){this.writer=t,this.name="KHR_materials_specular"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.specularIntensity===1&&t.specularColor.equals(Ou)&&!t.specularIntensityMap&&!t.specularColorTexture)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.specularIntensityMap){const o={index:n.processTexture(t.specularIntensityMap),texCoord:t.specularIntensityMap.channel};n.applyTextureTransform(o,t.specularIntensityMap),i.specularTexture=o}if(t.specularColorMap){const o={index:n.processTexture(t.specularColorMap),texCoord:t.specularColorMap.channel};n.applyTextureTransform(o,t.specularColorMap),i.specularColorTexture=o}i.specularFactor=t.specularIntensity,i.specularColorFactor=t.specularColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},Ju=class{constructor(t){this.writer=t,this.name="KHR_materials_sheen"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.sheen==0)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.sheenRoughnessMap){const o={index:n.processTexture(t.sheenRoughnessMap),texCoord:t.sheenRoughnessMap.channel};n.applyTextureTransform(o,t.sheenRoughnessMap),i.sheenRoughnessTexture=o}if(t.sheenColorMap){const o={index:n.processTexture(t.sheenColorMap),texCoord:t.sheenColorMap.channel};n.applyTextureTransform(o,t.sheenColorMap),i.sheenColorTexture=o}i.sheenRoughnessFactor=t.sheenRoughness,i.sheenColorFactor=t.sheenColor.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},ec=class{constructor(t){this.writer=t,this.name="KHR_materials_anisotropy"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||t.anisotropy==0)return;const n=this.writer,r=n.extensionsUsed,i={};if(t.anisotropyMap){const o={index:n.processTexture(t.anisotropyMap)};n.applyTextureTransform(o,t.anisotropyMap),i.anisotropyTexture=o}i.anisotropyStrength=t.anisotropy,i.anisotropyRotation=t.anisotropyRotation,e.extensions=e.extensions||{},e.extensions[this.name]=i,r[this.name]=!0}},tc=class{constructor(t){this.writer=t,this.name="KHR_materials_emissive_strength"}writeMaterial(t,e){if(!t.isMeshStandardMaterial||t.emissiveIntensity===1)return;const n=this.writer.extensionsUsed,r={};r.emissiveStrength=t.emissiveIntensity,e.extensions=e.extensions||{},e.extensions[this.name]=r,n[this.name]=!0}};var xn=Uint8Array,Ts=Uint16Array,nc=Uint32Array,rc=new xn([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0,0,0,0]),ic=new xn([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,0,0]),ks=function(t,e){for(var n=new Ts(31),r=0;r<31;++r)n[r]=e+=1<<t[r-1];for(var i=new nc(n[30]),r=1;r<30;++r)for(var o=n[r];o<n[r+1];++o)i[o]=o-n[r]<<5|r;return[n,i]},_s=ks(rc,2),oc=_s[0],sc=_s[1];oc[28]=258,sc[258]=28;ks(ic,0);var ac=new Ts(32768);for(var Ne=0;Ne<32768;++Ne){var wt=(Ne&43690)>>>1|(Ne&21845)<<1;wt=(wt&52428)>>>2|(wt&13107)<<2,wt=(wt&61680)>>>4|(wt&3855)<<4,ac[Ne]=((wt&65280)>>>8|(wt&255)<<8)>>>1}var Wn=new xn(288);for(var Ne=0;Ne<144;++Ne)Wn[Ne]=8;for(var Ne=144;Ne<256;++Ne)Wn[Ne]=9;for(var Ne=256;Ne<280;++Ne)Wn[Ne]=7;for(var Ne=280;Ne<288;++Ne)Wn[Ne]=8;var lc=new xn(32);for(var Ne=0;Ne<32;++Ne)lc[Ne]=5;var uc=new xn(0),cc=typeof TextDecoder<"u"&&new TextDecoder,fc=0;try{cc.decode(uc,{stream:!0}),fc=1}catch{}var dc=Object.defineProperty,pc=(t,e,n)=>e in t?dc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,hc=(t,e,n)=>(pc(t,e+"",n),n);const As=class extends Pt{constructor(t,e={}){super(t),this.isReflector=!0,this.type="Reflector",this.camera=new Et;const n=this,r=e.color!==void 0?new Fe(e.color):new Fe(8355711),i=e.textureWidth||512,o=e.textureHeight||512,s=e.clipBias||0,a=e.shader||As.ReflectorShader,l=e.multisample!==void 0?e.multisample:4,u=new Xo,c=new se,f=new se,p=new se,d=new xt,b=new se(0,0,-1),x=new Mt,v=new se,T=new se,I=new Mt,A=new xt,C=this.camera,P=new Qa(i,o,{samples:l,type:Ja}),h=new yn({uniforms:ri.clone(a.uniforms),fragmentShader:a.fragmentShader,vertexShader:a.vertexShader});h.uniforms.tDiffuse.value=P.texture,h.uniforms.color.value=r,h.uniforms.textureMatrix.value=A,this.material=h,this.onBeforeRender=function(S,y,g){if(f.setFromMatrixPosition(n.matrixWorld),p.setFromMatrixPosition(g.matrixWorld),d.extractRotation(n.matrixWorld),c.set(0,0,1),c.applyMatrix4(d),v.subVectors(f,p),v.dot(c)>0)return;v.reflect(c).negate(),v.add(f),d.extractRotation(g.matrixWorld),b.set(0,0,-1),b.applyMatrix4(d),b.add(p),T.subVectors(f,b),T.reflect(c).negate(),T.add(f),C.position.copy(v),C.up.set(0,1,0),C.up.applyMatrix4(d),C.up.reflect(c),C.lookAt(T),C.far=g.far,C.updateMatrixWorld(),C.projectionMatrix.copy(g.projectionMatrix),A.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1),A.multiply(C.projectionMatrix),A.multiply(C.matrixWorldInverse),A.multiply(n.matrixWorld),u.setFromNormalAndCoplanarPoint(c,f),u.applyMatrix4(C.matrixWorldInverse),x.set(u.normal.x,u.normal.y,u.normal.z,u.constant);const m=C.projectionMatrix;I.x=(Math.sign(x.x)+m.elements[8])/m.elements[0],I.y=(Math.sign(x.y)+m.elements[9])/m.elements[5],I.z=-1,I.w=(1+m.elements[10])/m.elements[14],x.multiplyScalar(2/x.dot(I)),m.elements[2]=x.x,m.elements[6]=x.y,m.elements[10]=x.z+1-s,m.elements[14]=x.w,n.visible=!1;const k=S.getRenderTarget(),E=S.xr.enabled,O=S.shadowMap.autoUpdate,F=S.toneMapping;let D=!1;"outputColorSpace"in S?D=S.outputColorSpace==="srgb":D=S.outputEncoding===3001,S.xr.enabled=!1,S.shadowMap.autoUpdate=!1,"outputColorSpace"in S?S.outputColorSpace="srgb-linear":S.outputEncoding=3e3,S.toneMapping=el,S.setRenderTarget(P),S.state.buffers.depth.setMask(!0),S.autoClear===!1&&S.clear(),S.render(y,C),S.xr.enabled=E,S.shadowMap.autoUpdate=O,S.toneMapping=F,"outputColorSpace"in S?S.outputColorSpace=D?"srgb":"srgb-linear":S.outputEncoding=D?3001:3e3,S.setRenderTarget(k);const B=g.viewport;B!==void 0&&S.state.viewport(B),n.visible=!0},this.getRenderTarget=function(){return P},this.dispose=function(){P.dispose(),n.material.dispose()}}};let zr=As;hc(zr,"ReflectorShader",{uniforms:{color:{value:null},tDiffuse:{value:null},textureMatrix:{value:null}},vertexShader:`
 		uniform mat4 textureMatrix;
 		varying vec4 vUv;
 
@@ -117,7 +117,7 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config
 			#include <tonemapping_fragment>
 			#include <${fi>=154?"colorspace_fragment":"encodings_fragment"}>
 
-		}`});var pc=Object.defineProperty,hc=(t,e,n)=>e in t?pc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Es=(t,e,n)=>(hc(t,typeof e!="symbol"?e+"":e,n),n);const Xn=new Qo,mc=new Float32Array([-1,-1,0,0,0,1,-1,0,1,0,1,1,0,1,1,-1,1,0,0,1]),Ms=new Zo(mc,5);Xn.setIndex([0,1,2,0,2,3]);Xn.setAttribute("position",new ni(Ms,3,0,!1));Xn.setAttribute("uv",new ni(Ms,2,3,!1));const Fr=class extends Pt{constructor(){super(Fr.Geometry,new Vt({opacity:0,transparent:!0})),this.isLensflare=!0,this.type="Lensflare",this.frustumCulled=!1,this.renderOrder=1/0;const t=new se,e=new se,n=new Ri(new Uint8Array(16*16*3),16,16,Lr);n.minFilter=Lt,n.magFilter=Lt,n.wrapS=Ht,n.wrapT=Ht;const r=new Ri(new Uint8Array(16*16*3),16,16,Lr);r.minFilter=Lt,r.magFilter=Lt,r.wrapS=Ht,r.wrapT=Ht;const i=Fr.Geometry,o=new tr({uniforms:{scale:{value:null},screenPosition:{value:null}},vertexShader:`
+		}`});var mc=Object.defineProperty,gc=(t,e,n)=>e in t?mc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Es=(t,e,n)=>(gc(t,typeof e!="symbol"?e+"":e,n),n);const Xn=new Zo,yc=new Float32Array([-1,-1,0,0,0,1,-1,0,1,0,1,1,0,1,1,-1,1,0,0,1]),Ms=new Qo(yc,5);Xn.setIndex([0,1,2,0,2,3]);Xn.setAttribute("position",new ni(Ms,3,0,!1));Xn.setAttribute("uv",new ni(Ms,2,3,!1));const Fr=class extends Pt{constructor(){super(Fr.Geometry,new Vt({opacity:0,transparent:!0})),this.isLensflare=!0,this.type="Lensflare",this.frustumCulled=!1,this.renderOrder=1/0;const t=new se,e=new se,n=new Ri(new Uint8Array(16*16*3),16,16,Lr);n.minFilter=Lt,n.magFilter=Lt,n.wrapS=Ht,n.wrapT=Ht;const r=new Ri(new Uint8Array(16*16*3),16,16,Lr);r.minFilter=Lt,r.magFilter=Lt,r.wrapS=Ht,r.wrapT=Ht;const i=Fr.Geometry,o=new tr({uniforms:{scale:{value:null},screenPosition:{value:null}},vertexShader:`
 
 				precision highp float;
 
@@ -168,7 +168,7 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config
 
 					gl_FragColor = texture2D( map, vUV );
 
-				}`,depthTest:!1,depthWrite:!1,transparent:!1}),a=new Pt(i,o),l=[],u=Ss.Shader,c=new tr({uniforms:{map:{value:null},occlusionMap:{value:r},color:{value:new Fe(16777215)},scale:{value:new Pe},screenPosition:{value:new se}},vertexShader:u.vertexShader,fragmentShader:u.fragmentShader,blending:tl,transparent:!0,depthWrite:!1}),f=new Pt(i,c);this.addElement=function(v){l.push(v)};const p=new Pe,d=new Pe,b=new nl,x=new Mt;this.onBeforeRender=function(v,T,I){v.getCurrentViewport(x);const A=x.w/x.z,C=x.z/2,P=x.w/2;let h=16/x.w;if(p.set(h*A,h),b.min.set(x.x,x.y),b.max.set(x.x+(x.z-16),x.y+(x.w-16)),e.setFromMatrixPosition(this.matrixWorld),e.applyMatrix4(I.matrixWorldInverse),!(e.z>0)&&(t.copy(e).applyMatrix4(I.projectionMatrix),d.x=x.x+t.x*C+C-8,d.y=x.y+t.y*P+P-8,b.containsPoint(d))){v.copyFramebufferToTexture(d,n);let S=o.uniforms;S.scale.value=p,S.screenPosition.value=t,v.renderBufferDirect(I,null,i,o,a,null),v.copyFramebufferToTexture(d,r),S=s.uniforms,S.scale.value=p,S.screenPosition.value=t,v.renderBufferDirect(I,null,i,s,a,null);const y=-t.x*2,g=-t.y*2;for(let m=0,k=l.length;m<k;m++){const E=l[m],O=c.uniforms;O.color.value.copy(E.color),O.map.value=E.texture,O.screenPosition.value.x=t.x+y*E.distance,O.screenPosition.value.y=t.y+g*E.distance,h=E.size/x.w;const F=x.w/x.z;O.scale.value.set(h*F,h),c.uniformsNeedUpdate=!0,v.renderBufferDirect(I,null,i,c,f,null)}}},this.dispose=function(){o.dispose(),s.dispose(),c.dispose(),n.dispose(),r.dispose();for(let v=0,T=l.length;v<T;v++)l[v].texture.dispose()}}};let gc=Fr;Es(gc,"Geometry",Xn);class Ss{constructor(e,n=1,r=0,i=new Fe(16777215)){this.texture=e,this.size=n,this.distance=r,this.color=i}}Es(Ss,"Shader",{uniforms:{map:{value:null},occlusionMap:{value:null},color:{value:null},scale:{value:null},screenPosition:{value:null}},vertexShader:`
+				}`,depthTest:!1,depthWrite:!1,transparent:!1}),a=new Pt(i,o),l=[],u=Ss.Shader,c=new tr({uniforms:{map:{value:null},occlusionMap:{value:r},color:{value:new Fe(16777215)},scale:{value:new Pe},screenPosition:{value:new se}},vertexShader:u.vertexShader,fragmentShader:u.fragmentShader,blending:tl,transparent:!0,depthWrite:!1}),f=new Pt(i,c);this.addElement=function(v){l.push(v)};const p=new Pe,d=new Pe,b=new nl,x=new Mt;this.onBeforeRender=function(v,T,I){v.getCurrentViewport(x);const A=x.w/x.z,C=x.z/2,P=x.w/2;let h=16/x.w;if(p.set(h*A,h),b.min.set(x.x,x.y),b.max.set(x.x+(x.z-16),x.y+(x.w-16)),e.setFromMatrixPosition(this.matrixWorld),e.applyMatrix4(I.matrixWorldInverse),!(e.z>0)&&(t.copy(e).applyMatrix4(I.projectionMatrix),d.x=x.x+t.x*C+C-8,d.y=x.y+t.y*P+P-8,b.containsPoint(d))){v.copyFramebufferToTexture(d,n);let S=o.uniforms;S.scale.value=p,S.screenPosition.value=t,v.renderBufferDirect(I,null,i,o,a,null),v.copyFramebufferToTexture(d,r),S=s.uniforms,S.scale.value=p,S.screenPosition.value=t,v.renderBufferDirect(I,null,i,s,a,null);const y=-t.x*2,g=-t.y*2;for(let m=0,k=l.length;m<k;m++){const E=l[m],O=c.uniforms;O.color.value.copy(E.color),O.map.value=E.texture,O.screenPosition.value.x=t.x+y*E.distance,O.screenPosition.value.y=t.y+g*E.distance,h=E.size/x.w;const F=x.w/x.z;O.scale.value.set(h*F,h),c.uniformsNeedUpdate=!0,v.renderBufferDirect(I,null,i,c,f,null)}}},this.dispose=function(){o.dispose(),s.dispose(),c.dispose(),n.dispose(),r.dispose();for(let v=0,T=l.length;v<T;v++)l[v].texture.dispose()}}};let xc=Fr;Es(xc,"Geometry",Xn);class Ss{constructor(e,n=1,r=0,i=new Fe(16777215)){this.texture=e,this.size=n,this.distance=r,this.color=i}}Es(Ss,"Shader",{uniforms:{map:{value:null},occlusionMap:{value:null},color:{value:null},scale:{value:null},screenPosition:{value:null}},vertexShader:`
 
 		precision highp float;
 
@@ -222,7 +222,7 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config
 			gl_FragColor = texture;
 			gl_FragColor.rgb *= color;
 
-		}`});var yc=Object.defineProperty,xc=(t,e,n)=>e in t?yc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Is=(t,e,n)=>(xc(t,typeof e!="symbol"?e+"":e,n),n);const Pn={uniforms:{turbidity:{value:2},rayleigh:{value:1},mieCoefficient:{value:.005},mieDirectionalG:{value:.8},sunPosition:{value:new se},up:{value:new se(0,1,0)}},vertexShader:`
+		}`});var vc=Object.defineProperty,bc=(t,e,n)=>e in t?vc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,Is=(t,e,n)=>(bc(t,typeof e!="symbol"?e+"":e,n),n);const Pn={uniforms:{turbidity:{value:2},rayleigh:{value:1},mieCoefficient:{value:.005},mieDirectionalG:{value:.8},sunPosition:{value:new se},up:{value:new se(0,1,0)}},vertexShader:`
       uniform vec3 sunPosition;
       uniform float rayleigh;
       uniform float turbidity;
@@ -379,8 +379,8 @@ var Ta=Object.defineProperty;var ka=(t,e,n)=>e in t?Ta(t,e,{enumerable:!0,config
       #include <${fi>=154?"colorspace_fragment":"encodings_fragment"}>
 
       }
-    `},Rs=new yn({name:"SkyShader",fragmentShader:Pn.fragmentShader,vertexShader:Pn.vertexShader,uniforms:ri.clone(Pn.uniforms),side:ja,depthWrite:!1});class Cs extends Pt{constructor(){super(new Qa(1,1,1),Rs)}}Is(Cs,"SkyShader",Pn);Is(Cs,"material",Rs);new Va;new se;new Jo(0,0,0,"YXZ");new se;var vc=Object.defineProperty,bc=(t,e,n)=>e in t?vc(t,e,{enumerable:!0,configurable:!0,writable:!0,value:n}):t[e]=n,re=(t,e,n)=>(bc(t,typeof e!="symbol"?e+"":e,n),n);const Mn=new Ua,Yi=new Xo,wc=Math.cos(70*(Math.PI/180)),Ki=(t,e)=>(t%e+e)%e;class Tc extends Ba{constructor(e,n){super(),re(this,"object"),re(this,"domElement"),re(this,"enabled",!0),re(this,"target",new se),re(this,"minDistance",0),re(this,"maxDistance",1/0),re(this,"minZoom",0),re(this,"maxZoom",1/0),re(this,"minPolarAngle",0),re(this,"maxPolarAngle",Math.PI),re(this,"minAzimuthAngle",-1/0),re(this,"maxAzimuthAngle",1/0),re(this,"enableDamping",!1),re(this,"dampingFactor",.05),re(this,"enableZoom",!0),re(this,"zoomSpeed",1),re(this,"enableRotate",!0),re(this,"rotateSpeed",1),re(this,"enablePan",!0),re(this,"panSpeed",1),re(this,"screenSpacePanning",!0),re(this,"keyPanSpeed",7),re(this,"zoomToCursor",!1),re(this,"autoRotate",!1),re(this,"autoRotateSpeed",2),re(this,"reverseOrbit",!1),re(this,"reverseHorizontalOrbit",!1),re(this,"reverseVerticalOrbit",!1),re(this,"keys",{LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"}),re(this,"mouseButtons",{LEFT:yt.ROTATE,MIDDLE:yt.DOLLY,RIGHT:yt.PAN}),re(this,"touches",{ONE:_t.ROTATE,TWO:_t.DOLLY_PAN}),re(this,"target0"),re(this,"position0"),re(this,"zoom0"),re(this,"_domElementKeyEvents",null),re(this,"getPolarAngle"),re(this,"getAzimuthalAngle"),re(this,"setPolarAngle"),re(this,"setAzimuthalAngle"),re(this,"getDistance"),re(this,"getZoomScale"),re(this,"listenToKeyEvents"),re(this,"stopListenToKeyEvents"),re(this,"saveState"),re(this,"reset"),re(this,"update"),re(this,"connect"),re(this,"dispose"),re(this,"dollyIn"),re(this,"dollyOut"),re(this,"getScale"),re(this,"setScale"),this.object=e,this.domElement=n,this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this.getPolarAngle=()=>c.phi,this.getAzimuthalAngle=()=>c.theta,this.setPolarAngle=L=>{let q=Ki(L,2*Math.PI),J=c.phi;J<0&&(J+=2*Math.PI),q<0&&(q+=2*Math.PI);let Ee=Math.abs(q-J);2*Math.PI-Ee<Ee&&(q<J?q+=2*Math.PI:J+=2*Math.PI),f.phi=q-J,r.update()},this.setAzimuthalAngle=L=>{let q=Ki(L,2*Math.PI),J=c.theta;J<0&&(J+=2*Math.PI),q<0&&(q+=2*Math.PI);let Ee=Math.abs(q-J);2*Math.PI-Ee<Ee&&(q<J?q+=2*Math.PI:J+=2*Math.PI),f.theta=q-J,r.update()},this.getDistance=()=>r.object.position.distanceTo(r.target),this.listenToKeyEvents=L=>{L.addEventListener("keydown",oe),this._domElementKeyEvents=L},this.stopListenToKeyEvents=()=>{this._domElementKeyEvents.removeEventListener("keydown",oe),this._domElementKeyEvents=null},this.saveState=()=>{r.target0.copy(r.target),r.position0.copy(r.object.position),r.zoom0=r.object.zoom},this.reset=()=>{r.target.copy(r.target0),r.object.position.copy(r.position0),r.object.zoom=r.zoom0,r.object.updateProjectionMatrix(),r.dispatchEvent(i),r.update(),l=a.NONE},this.update=(()=>{const L=new se,q=new se(0,1,0),J=new zn().setFromUnitVectors(e.up,q),Ee=J.clone().invert(),Qe=new se,st=new zn,Tn=2*Math.PI;return function(){const Ei=r.object.position;J.setFromUnitVectors(e.up,q),Ee.copy(J).invert(),L.copy(Ei).sub(r.target),L.applyQuaternion(J),c.setFromVector3(L),r.autoRotate&&l===a.NONE&&F(E()),r.enableDamping?(c.theta+=f.theta*r.dampingFactor,c.phi+=f.phi*r.dampingFactor):(c.theta+=f.theta,c.phi+=f.phi);let ht=r.minAzimuthAngle,mt=r.maxAzimuthAngle;isFinite(ht)&&isFinite(mt)&&(ht<-Math.PI?ht+=Tn:ht>Math.PI&&(ht-=Tn),mt<-Math.PI?mt+=Tn:mt>Math.PI&&(mt-=Tn),ht<=mt?c.theta=Math.max(ht,Math.min(mt,c.theta)):c.theta=c.theta>(ht+mt)/2?Math.max(ht,c.theta):Math.min(mt,c.theta)),c.phi=Math.max(r.minPolarAngle,Math.min(r.maxPolarAngle,c.phi)),c.makeSafe(),r.enableDamping===!0?r.target.addScaledVector(d,r.dampingFactor):r.target.add(d),r.zoomToCursor&&g||r.object.isOrthographicCamera?c.radius=R(c.radius):c.radius=R(c.radius*p),L.setFromSpherical(c),L.applyQuaternion(Ee),Ei.copy(r.target).add(L),r.object.matrixAutoUpdate||r.object.updateMatrix(),r.object.lookAt(r.target),r.enableDamping===!0?(f.theta*=1-r.dampingFactor,f.phi*=1-r.dampingFactor,d.multiplyScalar(1-r.dampingFactor)):(f.set(0,0,0),d.set(0,0,0));let tn=!1;if(r.zoomToCursor&&g){let nn=null;if(r.object instanceof Et&&r.object.isPerspectiveCamera){const rn=L.length();nn=R(rn*p);const kn=rn-nn;r.object.position.addScaledVector(S,kn),r.object.updateMatrixWorld()}else if(r.object.isOrthographicCamera){const rn=new se(y.x,y.y,0);rn.unproject(r.object),r.object.zoom=Math.max(r.minZoom,Math.min(r.maxZoom,r.object.zoom/p)),r.object.updateProjectionMatrix(),tn=!0;const kn=new se(y.x,y.y,0);kn.unproject(r.object),r.object.position.sub(kn).add(rn),r.object.updateMatrixWorld(),nn=L.length()}else console.warn("WARNING: OrbitControls.js encountered an unknown camera type - zoom to cursor disabled."),r.zoomToCursor=!1;nn!==null&&(r.screenSpacePanning?r.target.set(0,0,-1).transformDirection(r.object.matrix).multiplyScalar(nn).add(r.object.position):(Mn.origin.copy(r.object.position),Mn.direction.set(0,0,-1).transformDirection(r.object.matrix),Math.abs(r.object.up.dot(Mn.direction))<wc?e.lookAt(r.target):(Yi.setFromNormalAndCoplanarPoint(r.object.up,r.target),Mn.intersectPlane(Yi,r.target))))}else r.object instanceof Gt&&r.object.isOrthographicCamera&&(tn=p!==1,tn&&(r.object.zoom=Math.max(r.minZoom,Math.min(r.maxZoom,r.object.zoom/p)),r.object.updateProjectionMatrix()));return p=1,g=!1,tn||Qe.distanceToSquared(r.object.position)>u||8*(1-st.dot(r.object.quaternion))>u?(r.dispatchEvent(i),Qe.copy(r.object.position),st.copy(r.object.quaternion),tn=!1,!0):!1}})(),this.connect=L=>{r.domElement=L,r.domElement.style.touchAction="none",r.domElement.addEventListener("contextmenu",He),r.domElement.addEventListener("pointerdown",Me),r.domElement.addEventListener("pointercancel",tt),r.domElement.addEventListener("wheel",K)},this.dispose=()=>{var L,q,J,Ee,Qe,st;r.domElement&&(r.domElement.style.touchAction="auto"),(L=r.domElement)==null||L.removeEventListener("contextmenu",He),(q=r.domElement)==null||q.removeEventListener("pointerdown",Me),(J=r.domElement)==null||J.removeEventListener("pointercancel",tt),(Ee=r.domElement)==null||Ee.removeEventListener("wheel",K),(Qe=r.domElement)==null||Qe.ownerDocument.removeEventListener("pointermove",Ve),(st=r.domElement)==null||st.ownerDocument.removeEventListener("pointerup",tt),r._domElementKeyEvents!==null&&r._domElementKeyEvents.removeEventListener("keydown",oe)};const r=this,i={type:"change"},o={type:"start"},s={type:"end"},a={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6};let l=a.NONE;const u=1e-6,c=new Ii,f=new Ii;let p=1;const d=new se,b=new Pe,x=new Pe,v=new Pe,T=new Pe,I=new Pe,A=new Pe,C=new Pe,P=new Pe,h=new Pe,S=new se,y=new Pe;let g=!1;const m=[],k={};function E(){return 2*Math.PI/60/60*r.autoRotateSpeed}function O(){return Math.pow(.95,r.zoomSpeed)}function F(L){r.reverseOrbit||r.reverseHorizontalOrbit?f.theta+=L:f.theta-=L}function D(L){r.reverseOrbit||r.reverseVerticalOrbit?f.phi+=L:f.phi-=L}const B=(()=>{const L=new se;return function(q,J){L.setFromMatrixColumn(J,0),L.multiplyScalar(-q),d.add(L)}})(),X=(()=>{const L=new se;return function(q,J){r.screenSpacePanning===!0?L.setFromMatrixColumn(J,1):(L.setFromMatrixColumn(J,0),L.crossVectors(r.object.up,L)),L.multiplyScalar(q),d.add(L)}})(),Z=(()=>{const L=new se;return function(q,J){const Ee=r.domElement;if(Ee&&r.object instanceof Et&&r.object.isPerspectiveCamera){const Qe=r.object.position;L.copy(Qe).sub(r.target);let st=L.length();st*=Math.tan(r.object.fov/2*Math.PI/180),B(2*q*st/Ee.clientHeight,r.object.matrix),X(2*J*st/Ee.clientHeight,r.object.matrix)}else Ee&&r.object instanceof Gt&&r.object.isOrthographicCamera?(B(q*(r.object.right-r.object.left)/r.object.zoom/Ee.clientWidth,r.object.matrix),X(J*(r.object.top-r.object.bottom)/r.object.zoom/Ee.clientHeight,r.object.matrix)):(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - pan disabled."),r.enablePan=!1)}})();function Q(L){r.object instanceof Et&&r.object.isPerspectiveCamera||r.object instanceof Gt&&r.object.isOrthographicCamera?p=L:(console.warn("WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled."),r.enableZoom=!1)}function _(L){Q(p/L)}function te(L){Q(p*L)}function ce(L){if(!r.zoomToCursor||!r.domElement)return;g=!0;const q=r.domElement.getBoundingClientRect(),J=L.clientX-q.left,Ee=L.clientY-q.top,Qe=q.width,st=q.height;y.x=J/Qe*2-1,y.y=-(Ee/st)*2+1,S.set(y.x,y.y,1).unproject(r.object).sub(r.object.position).normalize()}function R(L){return Math.max(r.minDistance,Math.min(r.maxDistance,L))}function pe(L){b.set(L.clientX,L.clientY)}function ye(L){ce(L),C.set(L.clientX,L.clientY)}function xe(L){T.set(L.clientX,L.clientY)}function Oe(L){x.set(L.clientX,L.clientY),v.subVectors(x,b).multiplyScalar(r.rotateSpeed);const q=r.domElement;q&&(F(2*Math.PI*v.x/q.clientHeight),D(2*Math.PI*v.y/q.clientHeight)),b.copy(x),r.update()}function G(L){P.set(L.clientX,L.clientY),h.subVectors(P,C),h.y>0?_(O()):h.y<0&&te(O()),C.copy(P),r.update()}function w(L){I.set(L.clientX,L.clientY),A.subVectors(I,T).multiplyScalar(r.panSpeed),Z(A.x,A.y),T.copy(I),r.update()}function M(L){ce(L),L.deltaY<0?te(O()):L.deltaY>0&&_(O()),r.update()}function N(L){let q=!1;switch(L.code){case r.keys.UP:Z(0,r.keyPanSpeed),q=!0;break;case r.keys.BOTTOM:Z(0,-r.keyPanSpeed),q=!0;break;case r.keys.LEFT:Z(r.keyPanSpeed,0),q=!0;break;case r.keys.RIGHT:Z(-r.keyPanSpeed,0),q=!0;break}q&&(L.preventDefault(),r.update())}function V(){if(m.length==1)b.set(m[0].pageX,m[0].pageY);else{const L=.5*(m[0].pageX+m[1].pageX),q=.5*(m[0].pageY+m[1].pageY);b.set(L,q)}}function U(){if(m.length==1)T.set(m[0].pageX,m[0].pageY);else{const L=.5*(m[0].pageX+m[1].pageX),q=.5*(m[0].pageY+m[1].pageY);T.set(L,q)}}function Y(){const L=m[0].pageX-m[1].pageX,q=m[0].pageY-m[1].pageY,J=Math.sqrt(L*L+q*q);C.set(0,J)}function ne(){r.enableZoom&&Y(),r.enablePan&&U()}function ve(){r.enableZoom&&Y(),r.enableRotate&&V()}function _e(L){if(m.length==1)x.set(L.pageX,L.pageY);else{const J=pt(L),Ee=.5*(L.pageX+J.x),Qe=.5*(L.pageY+J.y);x.set(Ee,Qe)}v.subVectors(x,b).multiplyScalar(r.rotateSpeed);const q=r.domElement;q&&(F(2*Math.PI*v.x/q.clientHeight),D(2*Math.PI*v.y/q.clientHeight)),b.copy(x)}function de(L){if(m.length==1)I.set(L.pageX,L.pageY);else{const q=pt(L),J=.5*(L.pageX+q.x),Ee=.5*(L.pageY+q.y);I.set(J,Ee)}A.subVectors(I,T).multiplyScalar(r.panSpeed),Z(A.x,A.y),T.copy(I)}function be(L){const q=pt(L),J=L.pageX-q.x,Ee=L.pageY-q.y,Qe=Math.sqrt(J*J+Ee*Ee);P.set(0,Qe),h.set(0,Math.pow(P.y/C.y,r.zoomSpeed)),_(h.y),C.copy(P)}function 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s=1/0,a=0,l=Math.round,u=l(window.devicePixelRatio||1),c=80*u,f=48*u,p=3*u,d=2*u,b=3*u,x=15*u,v=74*u,T=30*u,I=document.createElement("canvas");I.width=c,I.height=f,I.style.cssText="width:80px;height:48px";var A=I.getContext("2d");return A.font="bold "+9*u+"px Helvetica,Arial,sans-serif",A.textBaseline="top",A.fillStyle=o,A.fillRect(0,0,c,f),A.fillStyle=i,A.fillText(r,p,d),A.fillRect(b,x,v,T),A.fillStyle=o,A.globalAlpha=.9,A.fillRect(b,x,v,T),{dom:I,update:function(C,P){s=Math.min(s,C),a=Math.max(a,C),A.fillStyle=o,A.globalAlpha=1,A.fillRect(0,0,c,x),A.fillStyle=i,A.fillText(l(C)+" "+r+" ("+l(s)+"-"+l(a)+")",p,d),A.drawImage(I,b+u,x,v-u,T,b,x,v-u,T),A.fillRect(b+v-u,x,u,T),A.fillStyle=o,A.globalAlpha=.9,A.fillRect(b+v-u,x,u,l((1-C/P)*T))}}},n})}(Ur)),Ur.exports}Wc();const Xc={key:0,args:[0,1,64]},Qc={key:1,args:[.5,1,64]},Zc={key:2},Jc=["tone-mapped","map","side","color"];new Fe(16777215);const Ut=ze({__name:"Range",props:{modelValue:null,min:{default:0},max:{default:100},step:{default:1},disabled:{type:Boolean,default:!1}},emits:["update:modelValue","mousedown"],setup(t,{emit:e}){const n=t,r=e,i=W(null);function o(b,x,v){return Math.min(Math.max(b,x),v)}function s(b){const x=b.toString();return x.includes("e-")?Number.parseInt(x.split("e-")[1],10):x.includes(".")?x.split(".")[1].length:0}function a(b,x){const v=s(x),T=10**(v+3);return Number.parseFloat((b*T/T).toFixed(v))}const l=Ue(()=>a(o(n.modelValue,n.min,n.max),n.step)),u=Ue(()=>{const b=(l.value-n.min)/(n.max-n.min)*100;return{width:`${b}%`,backgroundSize:`${b}% 100%`}});function c(b){if(!i.value)return l.value;const x=i.value.getBoundingClientRect(),T=(b.clientX-x.left)/x.width,I=n.max-n.min,A=n.min+I*T,C=Math.round(A/n.step)*n.step;return Math.min(Math.max(C,n.min),n.max)}function f(b){if(n.disabled)return;const x=c(b);r("update:modelValue",x)}function p(b){if(n.disabled)return;b.preventDefault();const x=c(b);r("update:modelValue",x),window.addEventListener("mousemove",f),window.addEventListener("mouseup",d)}function d(b){window.removeEventListener("mousemove",f),window.removeEventListener("mouseup",d)}return Ot(()=>{window.removeEventListener("mousemove",f),window.removeEventListener("mouseup",d)}),(b,x)=>(ee(),ie("span",{ref_key:"sliderRef",ref:i,class:at(["range-slider disabled:pointer-events-none disabled:cursor-default disabled:opacity-50",{disabled:t.disabled}]),bg:"[#e6e1fc] dark:[#676085]","touch-action-none":"",relative:"","inline-block":"","w-full":"","cursor-ew-resize":"","rounded-sm":"",onMousedown:p},[z("span",{style:Dr(u.value),bg:"[#cabeff] dark:[#4e34b9]",relative:"",block:"","rounded-sm":"",h:"[14px]"},null,4),z("span",{role:"slider",class:"slider-thumb",style:Dr({left:`${(l.value-t.min)/(t.max-t.min)*100}%`}),absolute:"","rounded-sm":"",w:"[1px]",h:"[14px]",bg:"zinc-100 dark:zinc-400",top:"50%",transform:"translate-x-[50%] translate-y-[-50%]"},null,4)],34))}});function uo(t,e){if(e===sl)return console.warn("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Geometry already defined as triangles."),t;if(e===Or||e===ls){let n=t.getIndex();if(n===null){const s=[],a=t.getAttribute("position");if(a!==void 0){for(let l=0;l<a.count;l++)s.push(l);t.setIndex(s),n=t.getIndex()}else return console.error("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Undefined position attribute. Processing not possible."),t}const r=n.count-2,i=[];if(e===Or)for(let s=1;s<=r;s++)i.push(n.getX(0)),i.push(n.getX(s)),i.push(n.getX(s+1));else for(let s=0;s<r;s++)s%2===0?(i.push(n.getX(s)),i.push(n.getX(s+1)),i.push(n.getX(s+2))):(i.push(n.getX(s+2)),i.push(n.getX(s+1)),i.push(n.getX(s)));i.length/3!==r&&console.error("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Unable to generate correct amount of triangles.");const o=t.clone();return o.setIndex(i),o.clearGroups(),o}else return console.error("THREE.BufferGeometryUtils.toTrianglesDrawMode(): Unknown draw mode:",e),t}class ef extends al{constructor(e){super(e),this.dracoLoader=null,this.ktx2Loader=null,this.meshoptDecoder=null,this.pluginCallbacks=[],this.register(function(n){return new sf(n)}),this.register(function(n){return new af(n)}),this.register(function(n){return new gf(n)}),this.register(function(n){return new yf(n)}),this.register(function(n){return new xf(n)}),this.register(function(n){return new uf(n)}),this.register(function(n){return new cf(n)}),this.register(function(n){return new ff(n)}),this.register(function(n){return new df(n)}),this.register(function(n){return new of(n)}),this.register(function(n){return new pf(n)}),this.register(function(n){return new lf(n)}),this.register(function(n){return new mf(n)}),this.register(function(n){return new hf(n)}),this.register(function(n){return new nf(n)}),this.register(function(n){return new vf(n)}),this.register(function(n){return new bf(n)})}load(e,n,r,i){const o=this;let s;if(this.resourcePath!=="")s=this.resourcePath;else if(this.path!==""){const u=cn.extractUrlBase(e);s=cn.resolveURL(u,this.path)}else s=cn.extractUrlBase(e);this.manager.itemStart(e);const a=function(u){i?i(u):console.error(u),o.manager.itemError(e),o.manager.itemEnd(e)},l=new us(this.manager);l.setPath(this.path),l.setResponseType("arraybuffer"),l.setRequestHeader(this.requestHeader),l.setWithCredentials(this.withCredentials),l.load(e,function(u){try{o.parse(u,s,function(c){n(c),o.manager.itemEnd(e)},a)}catch(c){a(c)}},r,a)}setDRACOLoader(e){return this.dracoLoader=e,this}setKTX2Loader(e){return this.ktx2Loader=e,this}setMeshoptDecoder(e){return this.meshoptDecoder=e,this}register(e){return this.pluginCallbacks.indexOf(e)===-1&&this.pluginCallbacks.push(e),this}unregister(e){return this.pluginCallbacks.indexOf(e)!==-1&&this.pluginCallbacks.splice(this.pluginCallbacks.indexOf(e),1),this}parse(e,n,r,i){let o;const s={},a={},l=new TextDecoder;if(typeof e=="string")o=JSON.parse(e);else if(e instanceof ArrayBuffer)if(l.decode(new Uint8Array(e,0,4))===Os){try{s[he.KHR_BINARY_GLTF]=new wf(e)}catch(f){i&&i(f);return}o=JSON.parse(s[he.KHR_BINARY_GLTF].content)}else o=JSON.parse(l.decode(e));else o=e;if(o.asset===void 0||o.asset.version[0]<2){i&&i(new Error("THREE.GLTFLoader: Unsupported asset. glTF versions >=2.0 are supported."));return}const u=new Pf(o,{path:n||this.resourcePath||"",crossOrigin:this.crossOrigin,requestHeader:this.requestHeader,manager:this.manager,ktx2Loader:this.ktx2Loader,meshoptDecoder:this.meshoptDecoder});u.fileLoader.setRequestHeader(this.requestHeader);for(let c=0;c<this.pluginCallbacks.length;c++){const f=this.pluginCallbacks[c](u);f.name||console.error("THREE.GLTFLoader: Invalid plugin found: missing name"),a[f.name]=f,s[f.name]=!0}if(o.extensionsUsed)for(let c=0;c<o.extensionsUsed.length;++c){const f=o.extensionsUsed[c],p=o.extensionsRequired||[];switch(f){case he.KHR_MATERIALS_UNLIT:s[f]=new rf;break;case he.KHR_DRACO_MESH_COMPRESSION:s[f]=new Tf(o,this.dracoLoader);break;case he.KHR_TEXTURE_TRANSFORM:s[f]=new kf;break;case he.KHR_MESH_QUANTIZATION:s[f]=new _f;break;default:p.indexOf(f)>=0&&a[f]===void 0&&console.warn('THREE.GLTFLoader: Unknown extension "'+f+'".')}}u.setExtensions(s),u.setPlugins(a),u.parse(r,i)}parseAsync(e,n){const r=this;return new Promise(function(i,o){r.parse(e,n,i,o)})}}function tf(){let t={};return{get:function(e){return t[e]},add:function(e,n){t[e]=n},remove:function(e){delete t[e]},removeAll:function(){t={}}}}const he={KHR_BINARY_GLTF:"KHR_binary_glTF",KHR_DRACO_MESH_COMPRESSION:"KHR_draco_mesh_compression",KHR_LIGHTS_PUNCTUAL:"KHR_lights_punctual",KHR_MATERIALS_CLEARCOAT:"KHR_materials_clearcoat",KHR_MATERIALS_DISPERSION:"KHR_materials_dispersion",KHR_MATERIALS_IOR:"KHR_materials_ior",KHR_MATERIALS_SHEEN:"KHR_materials_sheen",KHR_MATERIALS_SPECULAR:"KHR_materials_specular",KHR_MATERIALS_TRANSMISSION:"KHR_materials_transmission",KHR_MATERIALS_IRIDESCENCE:"KHR_materials_iridescence",KHR_MATERIALS_ANISOTROPY:"KHR_materials_anisotropy",KHR_MATERIALS_UNLIT:"KHR_materials_unlit",KHR_MATERIALS_VOLUME:"KHR_materials_volume",KHR_TEXTURE_BASISU:"KHR_texture_basisu",KHR_TEXTURE_TRANSFORM:"KHR_texture_transform",KHR_MESH_QUANTIZATION:"KHR_mesh_quantization",KHR_MATERIALS_EMISSIVE_STRENGTH:"KHR_materials_emissive_strength",EXT_MATERIALS_BUMP:"EXT_materials_bump",EXT_TEXTURE_WEBP:"EXT_texture_webp",EXT_TEXTURE_AVIF:"EXT_texture_avif",EXT_MESHOPT_COMPRESSION:"EXT_meshopt_compression",EXT_MESH_GPU_INSTANCING:"EXT_mesh_gpu_instancing"};class nf{constructor(e){this.parser=e,this.name=he.KHR_LIGHTS_PUNCTUAL,this.cache={refs:{},uses:{}}}_markDefs(){const e=this.parser,n=this.parser.json.nodes||[];for(let r=0,i=n.length;r<i;r++){const o=n[r];o.extensions&&o.extensions[this.name]&&o.extensions[this.name].light!==void 0&&e._addNodeRef(this.cache,o.extensions[this.name].light)}}_loadLight(e){const n=this.parser,r="light:"+e;let i=n.cache.get(r);if(i)return i;const o=n.json,l=((o.extensions&&o.extensions[this.name]||{}).lights||[])[e];let u;const c=new Fe(16777215);l.color!==void 0&&c.setRGB(l.color[0],l.color[1],l.color[2],vt);const f=l.range!==void 0?l.range:0;switch(l.type){case"directional":u=new cl(c),u.target.position.set(0,0,-1),u.add(u.target);break;case"point":u=new ul(c),u.distance=f;break;case"spot":u=new ll(c),u.distance=f,l.spot=l.spot||{},l.spot.innerConeAngle=l.spot.innerConeAngle!==void 0?l.spot.innerConeAngle:0,l.spot.outerConeAngle=l.spot.outerConeAngle!==void 0?l.spot.outerConeAngle:Math.PI/4,u.angle=l.spot.outerConeAngle,u.penumbra=1-l.spot.innerConeAngle/l.spot.outerConeAngle,u.target.position.set(0,0,-1),u.add(u.target);break;default:throw new Error("THREE.GLTFLoader: Unexpected light type: "+l.type)}return u.position.set(0,0,0),gt(u,l),l.intensity!==void 0&&(u.intensity=l.intensity),u.name=n.createUniqueName(l.name||"light_"+e),i=Promise.resolve(u),n.cache.add(r,i),i}getDependency(e,n){if(e==="light")return this._loadLight(n)}createNodeAttachment(e){const n=this,r=this.parser,o=r.json.nodes[e],a=(o.extensions&&o.extensions[this.name]||{}).light;return a===void 0?null:this._loadLight(a).then(function(l){return r._getNodeRef(n.cache,a,l)})}}class rf{constructor(){this.name=he.KHR_MATERIALS_UNLIT}getMaterialType(){return Vt}extendParams(e,n,r){const i=[];e.color=new Fe(1,1,1),e.opacity=1;const o=n.pbrMetallicRoughness;if(o){if(Array.isArray(o.baseColorFactor)){const s=o.baseColorFactor;e.color.setRGB(s[0],s[1],s[2],vt),e.opacity=s[3]}o.baseColorTexture!==void 0&&i.push(r.assignTexture(e,"map",o.baseColorTexture,mn))}return Promise.all(i)}}class of{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_EMISSIVE_STRENGTH}extendMaterialParams(e,n){const i=this.parser.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=i.extensions[this.name].emissiveStrength;return o!==void 0&&(n.emissiveIntensity=o),Promise.resolve()}}class sf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_CLEARCOAT}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];if(s.clearcoatFactor!==void 0&&(n.clearcoat=s.clearcoatFactor),s.clearcoatTexture!==void 0&&o.push(r.assignTexture(n,"clearcoatMap",s.clearcoatTexture)),s.clearcoatRoughnessFactor!==void 0&&(n.clearcoatRoughness=s.clearcoatRoughnessFactor),s.clearcoatRoughnessTexture!==void 0&&o.push(r.assignTexture(n,"clearcoatRoughnessMap",s.clearcoatRoughnessTexture)),s.clearcoatNormalTexture!==void 0&&(o.push(r.assignTexture(n,"clearcoatNormalMap",s.clearcoatNormalTexture)),s.clearcoatNormalTexture.scale!==void 0)){const a=s.clearcoatNormalTexture.scale;n.clearcoatNormalScale=new Pe(a,a)}return Promise.all(o)}}class af{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_DISPERSION}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const i=this.parser.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=i.extensions[this.name];return n.dispersion=o.dispersion!==void 0?o.dispersion:0,Promise.resolve()}}class lf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_IRIDESCENCE}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return s.iridescenceFactor!==void 0&&(n.iridescence=s.iridescenceFactor),s.iridescenceTexture!==void 0&&o.push(r.assignTexture(n,"iridescenceMap",s.iridescenceTexture)),s.iridescenceIor!==void 0&&(n.iridescenceIOR=s.iridescenceIor),n.iridescenceThicknessRange===void 0&&(n.iridescenceThicknessRange=[100,400]),s.iridescenceThicknessMinimum!==void 0&&(n.iridescenceThicknessRange[0]=s.iridescenceThicknessMinimum),s.iridescenceThicknessMaximum!==void 0&&(n.iridescenceThicknessRange[1]=s.iridescenceThicknessMaximum),s.iridescenceThicknessTexture!==void 0&&o.push(r.assignTexture(n,"iridescenceThicknessMap",s.iridescenceThicknessTexture)),Promise.all(o)}}class uf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_SHEEN}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[];n.sheenColor=new Fe(0,0,0),n.sheenRoughness=0,n.sheen=1;const s=i.extensions[this.name];if(s.sheenColorFactor!==void 0){const a=s.sheenColorFactor;n.sheenColor.setRGB(a[0],a[1],a[2],vt)}return s.sheenRoughnessFactor!==void 0&&(n.sheenRoughness=s.sheenRoughnessFactor),s.sheenColorTexture!==void 0&&o.push(r.assignTexture(n,"sheenColorMap",s.sheenColorTexture,mn)),s.sheenRoughnessTexture!==void 0&&o.push(r.assignTexture(n,"sheenRoughnessMap",s.sheenRoughnessTexture)),Promise.all(o)}}class cf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_TRANSMISSION}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return s.transmissionFactor!==void 0&&(n.transmission=s.transmissionFactor),s.transmissionTexture!==void 0&&o.push(r.assignTexture(n,"transmissionMap",s.transmissionTexture)),Promise.all(o)}}class ff{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_VOLUME}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];n.thickness=s.thicknessFactor!==void 0?s.thicknessFactor:0,s.thicknessTexture!==void 0&&o.push(r.assignTexture(n,"thicknessMap",s.thicknessTexture)),n.attenuationDistance=s.attenuationDistance||1/0;const a=s.attenuationColor||[1,1,1];return n.attenuationColor=new Fe().setRGB(a[0],a[1],a[2],vt),Promise.all(o)}}class df{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_IOR}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const i=this.parser.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=i.extensions[this.name];return n.ior=o.ior!==void 0?o.ior:1.5,Promise.resolve()}}class pf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_SPECULAR}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];n.specularIntensity=s.specularFactor!==void 0?s.specularFactor:1,s.specularTexture!==void 0&&o.push(r.assignTexture(n,"specularIntensityMap",s.specularTexture));const a=s.specularColorFactor||[1,1,1];return n.specularColor=new Fe().setRGB(a[0],a[1],a[2],vt),s.specularColorTexture!==void 0&&o.push(r.assignTexture(n,"specularColorMap",s.specularColorTexture,mn)),Promise.all(o)}}class hf{constructor(e){this.parser=e,this.name=he.EXT_MATERIALS_BUMP}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return n.bumpScale=s.bumpFactor!==void 0?s.bumpFactor:1,s.bumpTexture!==void 0&&o.push(r.assignTexture(n,"bumpMap",s.bumpTexture)),Promise.all(o)}}class mf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_ANISOTROPY}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return s.anisotropyStrength!==void 0&&(n.anisotropy=s.anisotropyStrength),s.anisotropyRotation!==void 0&&(n.anisotropyRotation=s.anisotropyRotation),s.anisotropyTexture!==void 0&&o.push(r.assignTexture(n,"anisotropyMap",s.anisotropyTexture)),Promise.all(o)}}class gf{constructor(e){this.parser=e,this.name=he.KHR_TEXTURE_BASISU}loadTexture(e){const n=this.parser,r=n.json,i=r.textures[e];if(!i.extensions||!i.extensions[this.name])return null;const o=i.extensions[this.name],s=n.options.ktx2Loader;if(!s){if(r.extensionsRequired&&r.extensionsRequired.indexOf(this.name)>=0)throw new Error("THREE.GLTFLoader: setKTX2Loader must be called before loading KTX2 textures");return null}return n.loadTextureImage(e,o.source,s)}}class yf{constructor(e){this.parser=e,this.name=he.EXT_TEXTURE_WEBP,this.isSupported=null}loadTexture(e){const n=this.name,r=this.parser,i=r.json,o=i.textures[e];if(!o.extensions||!o.extensions[n])return null;const s=o.extensions[n],a=i.images[s.source];let l=r.textureLoader;if(a.uri){const u=r.options.manager.getHandler(a.uri);u!==null&&(l=u)}return this.detectSupport().then(function(u){if(u)return r.loadTextureImage(e,s.source,l);if(i.extensionsRequired&&i.extensionsRequired.indexOf(n)>=0)throw new Error("THREE.GLTFLoader: WebP required by asset but unsupported.");return r.loadTexture(e)})}detectSupport(){return this.isSupported||(this.isSupported=new Promise(function(e){const n=new Image;n.src="data:image/webp;base64,UklGRiIAAABXRUJQVlA4IBYAAAAwAQCdASoBAAEADsD+JaQAA3AAAAAA",n.onload=n.onerror=function(){e(n.height===1)}})),this.isSupported}}class xf{constructor(e){this.parser=e,this.name=he.EXT_TEXTURE_AVIF,this.isSupported=null}loadTexture(e){const n=this.name,r=this.parser,i=r.json,o=i.textures[e];if(!o.extensions||!o.extensions[n])return null;const s=o.extensions[n],a=i.images[s.source];let l=r.textureLoader;if(a.uri){const u=r.options.manager.getHandler(a.uri);u!==null&&(l=u)}return this.detectSupport().then(function(u){if(u)return r.loadTextureImage(e,s.source,l);if(i.extensionsRequired&&i.extensionsRequired.indexOf(n)>=0)throw new Error("THREE.GLTFLoader: AVIF required by asset but unsupported.");return r.loadTexture(e)})}detectSupport(){return this.isSupported||(this.isSupported=new Promise(function(e){const n=new Image;n.src="data:image/avif;base64,AAAAIGZ0eXBhdmlmAAAAAGF2aWZtaWYxbWlhZk1BMUIAAADybWV0YQAAAAAAAAAoaGRscgAAAAAAAAAAcGljdAAAAAAAAAAAAAAAAGxpYmF2aWYAAAAADnBpdG0AAAAAAAEAAAAeaWxvYwAAAABEAAABAAEAAAABAAABGgAAABcAAAAoaWluZgAAAAAAAQAAABppbmZlAgAAAAABAABhdjAxQ29sb3IAAAAAamlwcnAAAABLaXBjbwAAABRpc3BlAAAAAAAAAAEAAAABAAAAEHBpeGkAAAAAAwgICAAAAAxhdjFDgQAMAAAAABNjb2xybmNseAACAAIABoAAAAAXaXBtYQAAAAAAAAABAAEEAQKDBAAAAB9tZGF0EgAKCBgABogQEDQgMgkQAAAAB8dSLfI=",n.onload=n.onerror=function(){e(n.height===1)}})),this.isSupported}}class vf{constructor(e){this.name=he.EXT_MESHOPT_COMPRESSION,this.parser=e}loadBufferView(e){const n=this.parser.json,r=n.bufferViews[e];if(r.extensions&&r.extensions[this.name]){const i=r.extensions[this.name],o=this.parser.getDependency("buffer",i.buffer),s=this.parser.options.meshoptDecoder;if(!s||!s.supported){if(n.extensionsRequired&&n.extensionsRequired.indexOf(this.name)>=0)throw new Error("THREE.GLTFLoader: setMeshoptDecoder must be called before loading compressed files");return null}return o.then(function(a){const l=i.byteOffset||0,u=i.byteLength||0,c=i.count,f=i.byteStride,p=new Uint8Array(a,l,u);return s.decodeGltfBufferAsync?s.decodeGltfBufferAsync(c,f,p,i.mode,i.filter).then(function(d){return d.buffer}):s.ready.then(function(){const d=new ArrayBuffer(c*f);return s.decodeGltfBuffer(new Uint8Array(d),c,f,p,i.mode,i.filter),d})})}else return null}}class bf{constructor(e){this.name=he.EXT_MESH_GPU_INSTANCING,this.parser=e}createNodeMesh(e){const n=this.parser.json,r=n.nodes[e];if(!r.extensions||!r.extensions[this.name]||r.mesh===void 0)return null;const i=n.meshes[r.mesh];for(const u of i.primitives)if(u.mode!==nt.TRIANGLES&&u.mode!==nt.TRIANGLE_STRIP&&u.mode!==nt.TRIANGLE_FAN&&u.mode!==void 0)return null;const s=r.extensions[this.name].attributes,a=[],l={};for(const u in s)a.push(this.parser.getDependency("accessor",s[u]).then(c=>(l[u]=c,l[u])));return a.length<1?null:(a.push(this.parser.createNodeMesh(e)),Promise.all(a).then(u=>{const c=u.pop(),f=c.isGroup?c.children:[c],p=u[0].count,d=[];for(const b of f){const x=new xt,v=new se,T=new zn,I=new se(1,1,1),A=new fl(b.geometry,b.material,p);for(let C=0;C<p;C++)l.TRANSLATION&&v.fromBufferAttribute(l.TRANSLATION,C),l.ROTATION&&T.fromBufferAttribute(l.ROTATION,C),l.SCALE&&I.fromBufferAttribute(l.SCALE,C),A.setMatrixAt(C,x.compose(v,T,I));for(const C in l)if(C==="_COLOR_0"){const P=l[C];A.instanceColor=new dl(P.array,P.itemSize,P.normalized)}else C!=="TRANSLATION"&&C!=="ROTATION"&&C!=="SCALE"&&b.geometry.setAttribute(C,l[C]);si.prototype.copy.call(A,b),this.parser.assignFinalMaterial(A),d.push(A)}return c.isGroup?(c.clear(),c.add(...d),c):d[0]}))}}const Os="glTF",sn=12,co={JSON:1313821514,BIN:5130562};class wf{constructor(e){this.name=he.KHR_BINARY_GLTF,this.content=null,this.body=null;const n=new DataView(e,0,sn),r=new TextDecoder;if(this.header={magic:r.decode(new Uint8Array(e.slice(0,4))),version:n.getUint32(4,!0),length:n.getUint32(8,!0)},this.header.magic!==Os)throw new Error("THREE.GLTFLoader: Unsupported glTF-Binary header.");if(this.header.version<2)throw new Error("THREE.GLTFLoader: Legacy binary file detected.");const i=this.header.length-sn,o=new DataView(e,sn);let s=0;for(;s<i;){const a=o.getUint32(s,!0);s+=4;const l=o.getUint32(s,!0);if(s+=4,l===co.JSON){const u=new Uint8Array(e,sn+s,a);this.content=r.decode(u)}else if(l===co.BIN){const u=sn+s;this.body=e.slice(u,u+a)}s+=a}if(this.content===null)throw new Error("THREE.GLTFLoader: JSON content not found.")}}class Tf{constructor(e,n){if(!n)throw new Error("THREE.GLTFLoader: No DRACOLoader instance provided.");this.name=he.KHR_DRACO_MESH_COMPRESSION,this.json=e,this.dracoLoader=n,this.dracoLoader.preload()}decodePrimitive(e,n){const r=this.json,i=this.dracoLoader,o=e.extensions[this.name].bufferView,s=e.extensions[this.name].attributes,a={},l={},u={};for(const c in s){const f=jr[c]||c.toLowerCase();a[f]=s[c]}for(const c in e.attributes){const f=jr[c]||c.toLowerCase();if(s[c]!==void 0){const p=r.accessors[e.attributes[c]],d=qt[p.componentType];u[f]=d.name,l[f]=p.normalized===!0}}return n.getDependency("bufferView",o).then(function(c){return new Promise(function(f,p){i.decodeDracoFile(c,function(d){for(const b in d.attributes){const x=d.attributes[b],v=l[b];v!==void 0&&(x.normalized=v)}f(d)},a,u,vt,p)})})}}class kf{constructor(){this.name=he.KHR_TEXTURE_TRANSFORM}extendTexture(e,n){return(n.texCoord===void 0||n.texCoord===e.channel)&&n.offset===void 0&&n.rotation===void 0&&n.scale===void 0||(e=e.clone(),n.texCoord!==void 0&&(e.channel=n.texCoord),n.offset!==void 0&&e.offset.fromArray(n.offset),n.rotation!==void 0&&(e.rotation=n.rotation),n.scale!==void 0&&e.repeat.fromArray(n.scale),e.needsUpdate=!0),e}}class _f{constructor(){this.name=he.KHR_MESH_QUANTIZATION}}class zs extends El{constructor(e,n,r,i){super(e,n,r,i)}copySampleValue_(e){const n=this.resultBuffer,r=this.sampleValues,i=this.valueSize,o=e*i*3+i;for(let s=0;s!==i;s++)n[s]=r[o+s];return n}interpolate_(e,n,r,i){const o=this.resultBuffer,s=this.sampleValues,a=this.valueSize,l=a*2,u=a*3,c=i-n,f=(r-n)/c,p=f*f,d=p*f,b=e*u,x=b-u,v=-2*d+3*p,T=d-p,I=1-v,A=T-p+f;for(let C=0;C!==a;C++){const P=s[x+C+a],h=s[x+C+l]*c,S=s[b+C+a],y=s[b+C]*c;o[C]=I*P+A*h+v*S+T*y}return o}}const Af=new zn;class Ef extends zs{interpolate_(e,n,r,i){const o=super.interpolate_(e,n,r,i);return Af.fromArray(o).normalize().toArray(o),o}}const nt={POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6},qt={5120:Int8Array,5121:Uint8Array,5122:Int16Array,5123:Uint16Array,5125:Uint32Array,5126:Float32Array},fo={9728:Lt,9729:Bn,9984:is,9985:ss,9986:os,9987:oi},po={33071:Ht,33648:as,10497:Un},yr={SCALAR:1,VEC2:2,VEC3:3,VEC4:4,MAT2:4,MAT3:9,MAT4:16},jr={POSITION:"position",NORMAL:"normal",TANGENT:"tangent",TEXCOORD_0:"uv",TEXCOORD_1:"uv1",TEXCOORD_2:"uv2",TEXCOORD_3:"uv3",COLOR_0:"color",WEIGHTS_0:"skinWeight",JOINTS_0:"skinIndex"},Tt={scale:"scale",translation:"position",rotation:"quaternion",weights:"morphTargetInfluences"},Mf={CUBICSPLINE:void 0,LINEAR:ti,STEP:rs},xr={OPAQUE:"OPAQUE",MASK:"MASK",BLEND:"BLEND"};function Sf(t){return t.DefaultMaterial===void 0&&(t.DefaultMaterial=new cs({color:16777215,emissive:0,metalness:1,roughness:1,transparent:!1,depthTest:!0,side:Al})),t.DefaultMaterial}function Rt(t,e,n){for(const r in n.extensions)t[r]===void 0&&(e.userData.gltfExtensions=e.userData.gltfExtensions||{},e.userData.gltfExtensions[r]=n.extensions[r])}function gt(t,e){e.extras!==void 0&&(typeof e.extras=="object"?Object.assign(t.userData,e.extras):console.warn("THREE.GLTFLoader: Ignoring primitive type .extras, "+e.extras))}function If(t,e,n){let r=!1,i=!1,o=!1;for(let u=0,c=e.length;u<c;u++){const f=e[u];if(f.POSITION!==void 0&&(r=!0),f.NORMAL!==void 0&&(i=!0),f.COLOR_0!==void 0&&(o=!0),r&&i&&o)break}if(!r&&!i&&!o)return Promise.resolve(t);const s=[],a=[],l=[];for(let u=0,c=e.length;u<c;u++){const f=e[u];if(r){const p=f.POSITION!==void 0?n.getDependency("accessor",f.POSITION):t.attributes.position;s.push(p)}if(i){const p=f.NORMAL!==void 0?n.getDependency("accessor",f.NORMAL):t.attributes.normal;a.push(p)}if(o){const p=f.COLOR_0!==void 0?n.getDependency("accessor",f.COLOR_0):t.attributes.color;l.push(p)}}return Promise.all([Promise.all(s),Promise.all(a),Promise.all(l)]).then(function(u){const c=u[0],f=u[1],p=u[2];return r&&(t.morphAttributes.position=c),i&&(t.morphAttributes.normal=f),o&&(t.morphAttributes.color=p),t.morphTargetsRelative=!0,t})}function Rf(t,e){if(t.updateMorphTargets(),e.weights!==void 0)for(let n=0,r=e.weights.length;n<r;n++)t.morphTargetInfluences[n]=e.weights[n];if(e.extras&&Array.isArray(e.extras.targetNames)){const n=e.extras.targetNames;if(t.morphTargetInfluences.length===n.length){t.morphTargetDictionary={};for(let r=0,i=n.length;r<i;r++)t.morphTargetDictionary[n[r]]=r}else console.warn("THREE.GLTFLoader: Invalid extras.targetNames length. Ignoring names.")}}function Cf(t){let e;const n=t.extensions&&t.extensions[he.KHR_DRACO_MESH_COMPRESSION];if(n?e="draco:"+n.bufferView+":"+n.indices+":"+vr(n.attributes):e=t.indices+":"+vr(t.attributes)+":"+t.mode,t.targets!==void 0)for(let r=0,i=t.targets.length;r<i;r++)e+=":"+vr(t.targets[r]);return e}function vr(t){let e="";const n=Object.keys(t).sort();for(let r=0,i=n.length;r<i;r++)e+=n[r]+":"+t[n[r]]+";";return e}function Vr(t){switch(t){case Int8Array:return 1/127;case Uint8Array:return 1/255;case Int16Array:return 1/32767;case Uint16Array:return 1/65535;default:throw new Error("THREE.GLTFLoader: Unsupported normalized accessor component type.")}}function Nf(t){return t.search(/\.jpe?g($|\?)/i)>0||t.search(/^data\:image\/jpeg/)===0?"image/jpeg":t.search(/\.webp($|\?)/i)>0||t.search(/^data\:image\/webp/)===0?"image/webp":t.search(/\.ktx2($|\?)/i)>0||t.search(/^data\:image\/ktx2/)===0?"image/ktx2":"image/png"}const Lf=new xt;class Pf{constructor(e={},n={}){this.json=e,this.extensions={},this.plugins={},this.options=n,this.cache=new tf,this.associations=new Map,this.primitiveCache={},this.nodeCache={},this.meshCache={refs:{},uses:{}},this.cameraCache={refs:{},uses:{}},this.lightCache={refs:{},uses:{}},this.sourceCache={},this.textureCache={},this.nodeNamesUsed={};let r=!1,i=-1,o=!1,s=-1;if(typeof navigator<"u"){const a=navigator.userAgent;r=/^((?!chrome|android).)*safari/i.test(a)===!0;const l=a.match(/Version\/(\d+)/);i=r&&l?parseInt(l[1],10):-1,o=a.indexOf("Firefox")>-1,s=o?a.match(/Firefox\/([0-9]+)\./)[1]:-1}typeof createImageBitmap>"u"||r&&i<17||o&&s<98?this.textureLoader=new pl(this.options.manager):this.textureLoader=new hl(this.options.manager),this.textureLoader.setCrossOrigin(this.options.crossOrigin),this.textureLoader.setRequestHeader(this.options.requestHeader),this.fileLoader=new us(this.options.manager),this.fileLoader.setResponseType("arraybuffer"),this.options.crossOrigin==="use-credentials"&&this.fileLoader.setWithCredentials(!0)}setExtensions(e){this.extensions=e}setPlugins(e){this.plugins=e}parse(e,n){const r=this,i=this.json,o=this.extensions;this.cache.removeAll(),this.nodeCache={},this._invokeAll(function(s){return s._markDefs&&s._markDefs()}),Promise.all(this._invokeAll(function(s){return s.beforeRoot&&s.beforeRoot()})).then(function(){return Promise.all([r.getDependencies("scene"),r.getDependencies("animation"),r.getDependencies("camera")])}).then(function(s){const a={scene:s[0][i.scene||0],scenes:s[0],animations:s[1],cameras:s[2],asset:i.asset,parser:r,userData:{}};return Rt(o,a,i),gt(a,i),Promise.all(r._invokeAll(function(l){return l.afterRoot&&l.afterRoot(a)})).then(function(){for(const l of a.scenes)l.updateMatrixWorld();e(a)})}).catch(n)}_markDefs(){const e=this.json.nodes||[],n=this.json.skins||[],r=this.json.meshes||[];for(let i=0,o=n.length;i<o;i++){const s=n[i].joints;for(let a=0,l=s.length;a<l;a++)e[s[a]].isBone=!0}for(let i=0,o=e.length;i<o;i++){const s=e[i];s.mesh!==void 0&&(this._addNodeRef(this.meshCache,s.mesh),s.skin!==void 0&&(r[s.mesh].isSkinnedMesh=!0)),s.camera!==void 0&&this._addNodeRef(this.cameraCache,s.camera)}}_addNodeRef(e,n){n!==void 0&&(e.refs[n]===void 0&&(e.refs[n]=e.uses[n]=0),e.refs[n]++)}_getNodeRef(e,n,r){if(e.refs[n]<=1)return r;const i=r.clone(),o=(s,a)=>{const l=this.associations.get(s);l!=null&&this.associations.set(a,l);for(const[u,c]of s.children.entries())o(c,a.children[u])};return o(r,i),i.name+="_instance_"+e.uses[n]++,i}_invokeOne(e){const n=Object.values(this.plugins);n.push(this);for(let r=0;r<n.length;r++){const i=e(n[r]);if(i)return i}return null}_invokeAll(e){const n=Object.values(this.plugins);n.unshift(this);const r=[];for(let i=0;i<n.length;i++){const o=e(n[i]);o&&r.push(o)}return r}getDependency(e,n){const r=e+":"+n;let i=this.cache.get(r);if(!i){switch(e){case"scene":i=this.loadScene(n);break;case"node":i=this._invokeOne(function(o){return o.loadNode&&o.loadNode(n)});break;case"mesh":i=this._invokeOne(function(o){return o.loadMesh&&o.loadMesh(n)});break;case"accessor":i=this.loadAccessor(n);break;case"bufferView":i=this._invokeOne(function(o){return o.loadBufferView&&o.loadBufferView(n)});break;case"buffer":i=this.loadBuffer(n);break;case"material":i=this._invokeOne(function(o){return o.loadMaterial&&o.loadMaterial(n)});break;case"texture":i=this._invokeOne(function(o){return o.loadTexture&&o.loadTexture(n)});break;case"skin":i=this.loadSkin(n);break;case"animation":i=this._invokeOne(function(o){return o.loadAnimation&&o.loadAnimation(n)});break;case"camera":i=this.loadCamera(n);break;default:if(i=this._invokeOne(function(o){return o!=this&&o.getDependency&&o.getDependency(e,n)}),!i)throw new Error("Unknown type: "+e);break}this.cache.add(r,i)}return i}getDependencies(e){let n=this.cache.get(e);if(!n){const r=this,i=this.json[e+(e==="mesh"?"es":"s")]||[];n=Promise.all(i.map(function(o,s){return r.getDependency(e,s)})),this.cache.add(e,n)}return n}loadBuffer(e){const n=this.json.buffers[e],r=this.fileLoader;if(n.type&&n.type!=="arraybuffer")throw new Error("THREE.GLTFLoader: "+n.type+" buffer type is not supported.");if(n.uri===void 0&&e===0)return Promise.resolve(this.extensions[he.KHR_BINARY_GLTF].body);const i=this.options;return new Promise(function(o,s){r.load(cn.resolveURL(n.uri,i.path),o,void 0,function(){s(new Error('THREE.GLTFLoader: Failed to load buffer "'+n.uri+'".'))})})}loadBufferView(e){const n=this.json.bufferViews[e];return this.getDependency("buffer",n.buffer).then(function(r){const i=n.byteLength||0,o=n.byteOffset||0;return r.slice(o,o+i)})}loadAccessor(e){const n=this,r=this.json,i=this.json.accessors[e];if(i.bufferView===void 0&&i.sparse===void 0){const s=yr[i.type],a=qt[i.componentType],l=i.normalized===!0,u=new a(i.count*s);return Promise.resolve(new Nt(u,s,l))}const o=[];return i.bufferView!==void 0?o.push(this.getDependency("bufferView",i.bufferView)):o.push(null),i.sparse!==void 0&&(o.push(this.getDependency("bufferView",i.sparse.indices.bufferView)),o.push(this.getDependency("bufferView",i.sparse.values.bufferView))),Promise.all(o).then(function(s){const a=s[0],l=yr[i.type],u=qt[i.componentType],c=u.BYTES_PER_ELEMENT,f=c*l,p=i.byteOffset||0,d=i.bufferView!==void 0?r.bufferViews[i.bufferView].byteStride:void 0,b=i.normalized===!0;let x,v;if(d&&d!==f){const T=Math.floor(p/d),I="InterleavedBuffer:"+i.bufferView+":"+i.componentType+":"+T+":"+i.count;let A=n.cache.get(I);A||(x=new u(a,T*d,i.count*d/c),A=new Zo(x,d/c),n.cache.add(I,A)),v=new ni(A,l,p%d/c,b)}else a===null?x=new u(i.count*l):x=new u(a,p,i.count*l),v=new Nt(x,l,b);if(i.sparse!==void 0){const T=yr.SCALAR,I=qt[i.sparse.indices.componentType],A=i.sparse.indices.byteOffset||0,C=i.sparse.values.byteOffset||0,P=new I(s[1],A,i.sparse.count*T),h=new u(s[2],C,i.sparse.count*l);a!==null&&(v=new Nt(v.array.slice(),v.itemSize,v.normalized)),v.normalized=!1;for(let S=0,y=P.length;S<y;S++){const g=P[S];if(v.setX(g,h[S*l]),l>=2&&v.setY(g,h[S*l+1]),l>=3&&v.setZ(g,h[S*l+2]),l>=4&&v.setW(g,h[S*l+3]),l>=5)throw new Error("THREE.GLTFLoader: Unsupported itemSize in sparse BufferAttribute.")}v.normalized=b}return v})}loadTexture(e){const n=this.json,r=this.options,o=n.textures[e].source,s=n.images[o];let a=this.textureLoader;if(s.uri){const l=r.manager.getHandler(s.uri);l!==null&&(a=l)}return this.loadTextureImage(e,o,a)}loadTextureImage(e,n,r){const i=this,o=this.json,s=o.textures[e],a=o.images[n],l=(a.uri||a.bufferView)+":"+s.sampler;if(this.textureCache[l])return this.textureCache[l];const u=this.loadImageSource(n,r).then(function(c){c.flipY=!1,c.name=s.name||a.name||"",c.name===""&&typeof a.uri=="string"&&a.uri.startsWith("data:image/")===!1&&(c.name=a.uri);const p=(o.samplers||{})[s.sampler]||{};return c.magFilter=fo[p.magFilter]||Bn,c.minFilter=fo[p.minFilter]||oi,c.wrapS=po[p.wrapS]||Un,c.wrapT=po[p.wrapT]||Un,c.generateMipmaps=!c.isCompressedTexture&&c.minFilter!==Lt&&c.minFilter!==Bn,i.associations.set(c,{textures:e}),c}).catch(function(){return null});return this.textureCache[l]=u,u}loadImageSource(e,n){const r=this,i=this.json,o=this.options;if(this.sourceCache[e]!==void 0)return this.sourceCache[e].then(f=>f.clone());const s=i.images[e],a=self.URL||self.webkitURL;let l=s.uri||"",u=!1;if(s.bufferView!==void 0)l=r.getDependency("bufferView",s.bufferView).then(function(f){u=!0;const p=new Blob([f],{type:s.mimeType});return l=a.createObjectURL(p),l});else if(s.uri===void 0)throw new Error("THREE.GLTFLoader: Image "+e+" is missing URI and bufferView");const c=Promise.resolve(l).then(function(f){return new Promise(function(p,d){let b=p;n.isImageBitmapLoader===!0&&(b=function(x){const v=new Fn(x);v.needsUpdate=!0,p(v)}),n.load(cn.resolveURL(f,o.path),b,void 0,d)})}).then(function(f){return u===!0&&a.revokeObjectURL(l),gt(f,s),f.userData.mimeType=s.mimeType||Nf(s.uri),f}).catch(function(f){throw console.error("THREE.GLTFLoader: Couldn't load texture",l),f});return this.sourceCache[e]=c,c}assignTexture(e,n,r,i){const o=this;return this.getDependency("texture",r.index).then(function(s){if(!s)return null;if(r.texCoord!==void 0&&r.texCoord>0&&(s=s.clone(),s.channel=r.texCoord),o.extensions[he.KHR_TEXTURE_TRANSFORM]){const a=r.extensions!==void 0?r.extensions[he.KHR_TEXTURE_TRANSFORM]:void 0;if(a){const l=o.associations.get(s);s=o.extensions[he.KHR_TEXTURE_TRANSFORM].extendTexture(s,a),o.associations.set(s,l)}}return i!==void 0&&(s.colorSpace=i),e[n]=s,s})}assignFinalMaterial(e){const n=e.geometry;let r=e.material;const i=n.attributes.tangent===void 0,o=n.attributes.color!==void 0,s=n.attributes.normal===void 0;if(e.isPoints){const a="PointsMaterial:"+r.uuid;let l=this.cache.get(a);l||(l=new ml,nr.prototype.copy.call(l,r),l.color.copy(r.color),l.map=r.map,l.sizeAttenuation=!1,this.cache.add(a,l)),r=l}else if(e.isLine){const a="LineBasicMaterial:"+r.uuid;let l=this.cache.get(a);l||(l=new gl,nr.prototype.copy.call(l,r),l.color.copy(r.color),l.map=r.map,this.cache.add(a,l)),r=l}if(i||o||s){let a="ClonedMaterial:"+r.uuid+":";i&&(a+="derivative-tangents:"),o&&(a+="vertex-colors:"),s&&(a+="flat-shading:");let l=this.cache.get(a);l||(l=r.clone(),o&&(l.vertexColors=!0),s&&(l.flatShading=!0),i&&(l.normalScale&&(l.normalScale.y*=-1),l.clearcoatNormalScale&&(l.clearcoatNormalScale.y*=-1)),this.cache.add(a,l),this.associations.set(l,this.associations.get(r))),r=l}e.material=r}getMaterialType(){return cs}loadMaterial(e){const n=this,r=this.json,i=this.extensions,o=r.materials[e];let s;const a={},l=o.extensions||{},u=[];if(l[he.KHR_MATERIALS_UNLIT]){const f=i[he.KHR_MATERIALS_UNLIT];s=f.getMaterialType(),u.push(f.extendParams(a,o,n))}else{const f=o.pbrMetallicRoughness||{};if(a.color=new Fe(1,1,1),a.opacity=1,Array.isArray(f.baseColorFactor)){const p=f.baseColorFactor;a.color.setRGB(p[0],p[1],p[2],vt),a.opacity=p[3]}f.baseColorTexture!==void 0&&u.push(n.assignTexture(a,"map",f.baseColorTexture,mn)),a.metalness=f.metallicFactor!==void 0?f.metallicFactor:1,a.roughness=f.roughnessFactor!==void 0?f.roughnessFactor:1,f.metallicRoughnessTexture!==void 0&&(u.push(n.assignTexture(a,"metalnessMap",f.metallicRoughnessTexture)),u.push(n.assignTexture(a,"roughnessMap",f.metallicRoughnessTexture))),s=this._invokeOne(function(p){return p.getMaterialType&&p.getMaterialType(e)}),u.push(Promise.all(this._invokeAll(function(p){return p.extendMaterialParams&&p.extendMaterialParams(e,a)})))}o.doubleSided===!0&&(a.side=Yn);const c=o.alphaMode||xr.OPAQUE;if(c===xr.BLEND?(a.transparent=!0,a.depthWrite=!1):(a.transparent=!1,c===xr.MASK&&(a.alphaTest=o.alphaCutoff!==void 0?o.alphaCutoff:.5)),o.normalTexture!==void 0&&s!==Vt&&(u.push(n.assignTexture(a,"normalMap",o.normalTexture)),a.normalScale=new Pe(1,1),o.normalTexture.scale!==void 0)){const f=o.normalTexture.scale;a.normalScale.set(f,f)}if(o.occlusionTexture!==void 0&&s!==Vt&&(u.push(n.assignTexture(a,"aoMap",o.occlusionTexture)),o.occlusionTexture.strength!==void 0&&(a.aoMapIntensity=o.occlusionTexture.strength)),o.emissiveFactor!==void 0&&s!==Vt){const f=o.emissiveFactor;a.emissive=new Fe().setRGB(f[0],f[1],f[2],vt)}return o.emissiveTexture!==void 0&&s!==Vt&&u.push(n.assignTexture(a,"emissiveMap",o.emissiveTexture,mn)),Promise.all(u).then(function(){const f=new s(a);return o.name&&(f.name=o.name),gt(f,o),n.associations.set(f,{materials:e}),o.extensions&&Rt(i,f,o),f})}createUniqueName(e){const n=hn.sanitizeNodeName(e||"");return n in this.nodeNamesUsed?n+"_"+ ++this.nodeNamesUsed[n]:(this.nodeNamesUsed[n]=0,n)}loadGeometries(e){const n=this,r=this.extensions,i=this.primitiveCache;function o(a){return r[he.KHR_DRACO_MESH_COMPRESSION].decodePrimitive(a,n).then(function(l){return ho(l,a,n)})}const s=[];for(let a=0,l=e.length;a<l;a++){const u=e[a],c=Cf(u),f=i[c];if(f)s.push(f.promise);else{let p;u.extensions&&u.extensions[he.KHR_DRACO_MESH_COMPRESSION]?p=o(u):p=ho(new Qo,u,n),i[c]={primitive:u,promise:p},s.push(p)}}return Promise.all(s)}loadMesh(e){const n=this,r=this.json,i=this.extensions,o=r.meshes[e],s=o.primitives,a=[];for(let l=0,u=s.length;l<u;l++){const c=s[l].material===void 0?Sf(this.cache):this.getDependency("material",s[l].material);a.push(c)}return a.push(n.loadGeometries(s)),Promise.all(a).then(function(l){const u=l.slice(0,l.length-1),c=l[l.length-1],f=[];for(let d=0,b=c.length;d<b;d++){const x=c[d],v=s[d];let T;const I=u[d];if(v.mode===nt.TRIANGLES||v.mode===nt.TRIANGLE_STRIP||v.mode===nt.TRIANGLE_FAN||v.mode===void 0)T=o.isSkinnedMesh===!0?new yl(x,I):new Pt(x,I),T.isSkinnedMesh===!0&&T.normalizeSkinWeights(),v.mode===nt.TRIANGLE_STRIP?T.geometry=uo(T.geometry,ls):v.mode===nt.TRIANGLE_FAN&&(T.geometry=uo(T.geometry,Or));else if(v.mode===nt.LINES)T=new xl(x,I);else if(v.mode===nt.LINE_STRIP)T=new vl(x,I);else if(v.mode===nt.LINE_LOOP)T=new bl(x,I);else if(v.mode===nt.POINTS)T=new wl(x,I);else throw new Error("THREE.GLTFLoader: Primitive mode unsupported: "+v.mode);Object.keys(T.geometry.morphAttributes).length>0&&Rf(T,o),T.name=n.createUniqueName(o.name||"mesh_"+e),gt(T,o),v.extensions&&Rt(i,T,v),n.assignFinalMaterial(T),f.push(T)}for(let d=0,b=f.length;d<b;d++)n.associations.set(f[d],{meshes:e,primitives:d});if(f.length===1)return o.extensions&&Rt(i,f[0],o),f[0];const p=new rr;o.extensions&&Rt(i,p,o),n.associations.set(p,{meshes:e});for(let d=0,b=f.length;d<b;d++)p.add(f[d]);return p})}loadCamera(e){let n;const r=this.json.cameras[e],i=r[r.type];if(!i){console.warn("THREE.GLTFLoader: Missing camera parameters.");return}return r.type==="perspective"?n=new Et(Dt.radToDeg(i.yfov),i.aspectRatio||1,i.znear||1,i.zfar||2e6):r.type==="orthographic"&&(n=new Gt(-i.xmag,i.xmag,i.ymag,-i.ymag,i.znear,i.zfar)),r.name&&(n.name=this.createUniqueName(r.name)),gt(n,r),Promise.resolve(n)}loadSkin(e){const n=this.json.skins[e],r=[];for(let i=0,o=n.joints.length;i<o;i++)r.push(this._loadNodeShallow(n.joints[i]));return n.inverseBindMatrices!==void 0?r.push(this.getDependency("accessor",n.inverseBindMatrices)):r.push(null),Promise.all(r).then(function(i){const o=i.pop(),s=i,a=[],l=[];for(let u=0,c=s.length;u<c;u++){const f=s[u];if(f){a.push(f);const p=new xt;o!==null&&p.fromArray(o.array,u*16),l.push(p)}else console.warn('THREE.GLTFLoader: Joint "%s" could not be found.',n.joints[u])}return new Tl(a,l)})}loadAnimation(e){const n=this.json,r=this,i=n.animations[e],o=i.name?i.name:"animation_"+e,s=[],a=[],l=[],u=[],c=[];for(let f=0,p=i.channels.length;f<p;f++){const d=i.channels[f],b=i.samplers[d.sampler],x=d.target,v=x.node,T=i.parameters!==void 0?i.parameters[b.input]:b.input,I=i.parameters!==void 0?i.parameters[b.output]:b.output;x.node!==void 0&&(s.push(this.getDependency("node",v)),a.push(this.getDependency("accessor",T)),l.push(this.getDependency("accessor",I)),u.push(b),c.push(x))}return Promise.all([Promise.all(s),Promise.all(a),Promise.all(l),Promise.all(u),Promise.all(c)]).then(function(f){const p=f[0],d=f[1],b=f[2],x=f[3],v=f[4],T=[];for(let I=0,A=p.length;I<A;I++){const C=p[I],P=d[I],h=b[I],S=x[I],y=v[I];if(C===void 0)continue;C.updateMatrix&&C.updateMatrix();const g=r._createAnimationTracks(C,P,h,S,y);if(g)for(let m=0;m<g.length;m++)T.push(g[m])}return new kl(o,void 0,T)})}createNodeMesh(e){const n=this.json,r=this,i=n.nodes[e];return i.mesh===void 0?null:r.getDependency("mesh",i.mesh).then(function(o){const s=r._getNodeRef(r.meshCache,i.mesh,o);return i.weights!==void 0&&s.traverse(function(a){if(a.isMesh)for(let l=0,u=i.weights.length;l<u;l++)a.morphTargetInfluences[l]=i.weights[l]}),s})}loadNode(e){const n=this.json,r=this,i=n.nodes[e],o=r._loadNodeShallow(e),s=[],a=i.children||[];for(let u=0,c=a.length;u<c;u++)s.push(r.getDependency("node",a[u]));const l=i.skin===void 0?Promise.resolve(null):r.getDependency("skin",i.skin);return Promise.all([o,Promise.all(s),l]).then(function(u){const c=u[0],f=u[1],p=u[2];p!==null&&c.traverse(function(d){d.isSkinnedMesh&&d.bind(p,Lf)});for(let d=0,b=f.length;d<b;d++)c.add(f[d]);return c})}_loadNodeShallow(e){const n=this.json,r=this.extensions,i=this;if(this.nodeCache[e]!==void 0)return this.nodeCache[e];const o=n.nodes[e],s=o.name?i.createUniqueName(o.name):"",a=[],l=i._invokeOne(function(u){return u.createNodeMesh&&u.createNodeMesh(e)});return l&&a.push(l),o.camera!==void 0&&a.push(i.getDependency("camera",o.camera).then(function(u){return i._getNodeRef(i.cameraCache,o.camera,u)})),i._invokeAll(function(u){return u.createNodeAttachment&&u.createNodeAttachment(e)}).forEach(function(u){a.push(u)}),this.nodeCache[e]=Promise.all(a).then(function(u){let c;if(o.isBone===!0?c=new _l:u.length>1?c=new rr:u.length===1?c=u[0]:c=new si,c!==u[0])for(let f=0,p=u.length;f<p;f++)c.add(u[f]);if(o.name&&(c.userData.name=o.name,c.name=s),gt(c,o),o.extensions&&Rt(r,c,o),o.matrix!==void 0){const f=new xt;f.fromArray(o.matrix),c.applyMatrix4(f)}else o.translation!==void 0&&c.position.fromArray(o.translation),o.rotation!==void 0&&c.quaternion.fromArray(o.rotation),o.scale!==void 0&&c.scale.fromArray(o.scale);return i.associations.has(c)||i.associations.set(c,{}),i.associations.get(c).nodes=e,c}),this.nodeCache[e]}loadScene(e){const n=this.extensions,r=this.json.scenes[e],i=this,o=new rr;r.name&&(o.name=i.createUniqueName(r.name)),gt(o,r),r.extensions&&Rt(n,o,r);const s=r.nodes||[],a=[];for(let l=0,u=s.length;l<u;l++)a.push(i.getDependency("node",s[l]));return Promise.all(a).then(function(l){for(let c=0,f=l.length;c<f;c++)o.add(l[c]);const u=c=>{const f=new Map;for(const[p,d]of i.associations)(p instanceof nr||p instanceof Fn)&&f.set(p,d);return c.traverse(p=>{const d=i.associations.get(p);d!=null&&f.set(p,d)}),f};return i.associations=u(o),o})}_createAnimationTracks(e,n,r,i,o){const s=[],a=e.name?e.name:e.uuid,l=[];Tt[o.path]===Tt.weights?e.traverse(function(p){p.morphTargetInfluences&&l.push(p.name?p.name:p.uuid)}):l.push(a);let u;switch(Tt[o.path]){case Tt.weights:u=Ni;break;case Tt.rotation:u=Li;break;case Tt.translation:case Tt.scale:u=Ci;break;default:switch(r.itemSize){case 1:u=Ni;break;case 2:case 3:default:u=Ci;break}break}const c=i.interpolation!==void 0?Mf[i.interpolation]:ti,f=this._getArrayFromAccessor(r);for(let p=0,d=l.length;p<d;p++){const b=new u(l[p]+"."+Tt[o.path],n.array,f,c);i.interpolation==="CUBICSPLINE"&&this._createCubicSplineTrackInterpolant(b),s.push(b)}return s}_getArrayFromAccessor(e){let n=e.array;if(e.normalized){const r=Vr(n.constructor),i=new Float32Array(n.length);for(let o=0,s=n.length;o<s;o++)i[o]=n[o]*r;n=i}return n}_createCubicSplineTrackInterpolant(e){e.createInterpolant=function(r){const i=this instanceof Li?Ef:zs;return new i(this.times,this.values,this.getValueSize()/3,r)},e.createInterpolant.isInterpolantFactoryMethodGLTFCubicSpline=!0}}function Df(t,e,n){const r=e.attributes,i=new ii;if(r.POSITION!==void 0){const a=n.json.accessors[r.POSITION],l=a.min,u=a.max;if(l!==void 0&&u!==void 0){if(i.set(new se(l[0],l[1],l[2]),new se(u[0],u[1],u[2])),a.normalized){const c=Vr(qt[a.componentType]);i.min.multiplyScalar(c),i.max.multiplyScalar(c)}}else{console.warn("THREE.GLTFLoader: Missing min/max properties for accessor POSITION.");return}}else return;const o=e.targets;if(o!==void 0){const a=new se,l=new se;for(let u=0,c=o.length;u<c;u++){const f=o[u];if(f.POSITION!==void 0){const p=n.json.accessors[f.POSITION],d=p.min,b=p.max;if(d!==void 0&&b!==void 0){if(l.setX(Math.max(Math.abs(d[0]),Math.abs(b[0]))),l.setY(Math.max(Math.abs(d[1]),Math.abs(b[1]))),l.setZ(Math.max(Math.abs(d[2]),Math.abs(b[2]))),p.normalized){const x=Vr(qt[p.componentType]);l.multiplyScalar(x)}a.max(l)}else console.warn("THREE.GLTFLoader: Missing min/max properties for accessor POSITION.")}}i.expandByVector(a)}t.boundingBox=i;const s=new es;i.getCenter(s.center),s.radius=i.min.distanceTo(i.max)/2,t.boundingSphere=s}function ho(t,e,n){const r=e.attributes,i=[];function o(s,a){return n.getDependency("accessor",s).then(function(l){t.setAttribute(a,l)})}for(const s in r){const a=jr[s]||s.toLowerCase();a in t.attributes||i.push(o(r[s],a))}if(e.indices!==void 0&&!t.index){const s=n.getDependency("accessor",e.indices).then(function(a){t.setIndex(a)});i.push(s)}return Pi.workingColorSpace!==vt&&"COLOR_0"in r&&console.warn(`THREE.GLTFLoader: Converting vertex colors from "srgb-linear" to "${Pi.workingColorSpace}" not supported.`),gt(t,e),Df(t,e,n),Promise.all(i).then(function(){return e.targets!==void 0?If(t,e.targets,n):t})}let Ct;function Fs(){return Ct||(Ct=new ef,Ct.crossOrigin="anonymous",Ct.register(t=>new _a(t)),Ct.register(t=>new Aa(t)),Ct)}async function Of(t){const r=(await Fs().loadAsync(t)).userData;if(!r.vrmAnimations){console.warn("No VRM animations found in the .vrma file");return}if(r.vrmAnimations.length===0){console.warn("No VRM animations found in the .vrma file");return}return r.vrmAnimations[0]}async function zf(t,e){if(!t){console.warn("No VRM found");return}if(e)return Ea(e,t)}function Ff(){const t=W(!1),e=W(0),n=W(0),r=.2,i=1,o=6,s=W(Math.random()*(o-i)+i);function a(l,u){if(l!=null&&l.expressionManager&&(n.value+=u,!t.value&&n.value>=s.value&&(t.value=!0,e.value=0),t.value)){e.value+=u/r;const c=Math.sin(Math.PI*e.value);l.expressionManager.setValue("blink",c),e.value>=1&&(t.value=!1,n.value=0,l.expressionManager.setValue("blink",0),s.value=Math.random()*(o-i)+i)}}return{update:a}}function Bf(){let t=-1,e,n=0;function r(){e?e.set(on(-.25,.25),on(-.2,.15),-.65):e=new se(on(-.25,.25),on(-.2,.15),-.65)}function i(o,s){var a;!(o!=null&&o.expressionManager)||!o.lookAt||(n>=t?(r(),n=0,t=Ma()/1e3):e||r(),o.lookAt.target||(o.lookAt.target=new si),o.lookAt.target.position.lerp(e,on(.2,.5)),(a=o.lookAt)==null||a.update(s),n+=s)}return{update:i}}async function Uf(t,e){const i=(await Fs().loadAsync(t,s=>{var a;return(a=e==null?void 0:e.onProgress)==null?void 0:a.call(e,s)})).userData;if(!i.vrm)return;const o=i.vrm;if(Nr.removeUnnecessaryVertices(o.scene),Nr.combineSkeletons(o.scene),o.scene.traverse(s=>{s.frustumCulled=!1}),o.lookAt){const s=new Sa(o.lookAt);s.name="lookAtQuaternionProxy",o.scene.add(s)}return 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he={KHR_BINARY_GLTF:"KHR_binary_glTF",KHR_DRACO_MESH_COMPRESSION:"KHR_draco_mesh_compression",KHR_LIGHTS_PUNCTUAL:"KHR_lights_punctual",KHR_MATERIALS_CLEARCOAT:"KHR_materials_clearcoat",KHR_MATERIALS_DISPERSION:"KHR_materials_dispersion",KHR_MATERIALS_IOR:"KHR_materials_ior",KHR_MATERIALS_SHEEN:"KHR_materials_sheen",KHR_MATERIALS_SPECULAR:"KHR_materials_specular",KHR_MATERIALS_TRANSMISSION:"KHR_materials_transmission",KHR_MATERIALS_IRIDESCENCE:"KHR_materials_iridescence",KHR_MATERIALS_ANISOTROPY:"KHR_materials_anisotropy",KHR_MATERIALS_UNLIT:"KHR_materials_unlit",KHR_MATERIALS_VOLUME:"KHR_materials_volume",KHR_TEXTURE_BASISU:"KHR_texture_basisu",KHR_TEXTURE_TRANSFORM:"KHR_texture_transform",KHR_MESH_QUANTIZATION:"KHR_mesh_quantization",KHR_MATERIALS_EMISSIVE_STRENGTH:"KHR_materials_emissive_strength",EXT_MATERIALS_BUMP:"EXT_materials_bump",EXT_TEXTURE_WEBP:"EXT_texture_webp",EXT_TEXTURE_AVIF:"EXT_texture_avif",EXT_MESHOPT_COMPRESSION:"EXT_meshopt_compression",EXT_MESH_GPU_INSTANCING:"EXT_mesh_gpu_instancing"};class 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s=o.baseColorFactor;e.color.setRGB(s[0],s[1],s[2],vt),e.opacity=s[3]}o.baseColorTexture!==void 0&&i.push(r.assignTexture(e,"map",o.baseColorTexture,mn))}return Promise.all(i)}}class af{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_EMISSIVE_STRENGTH}extendMaterialParams(e,n){const i=this.parser.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=i.extensions[this.name].emissiveStrength;return o!==void 0&&(n.emissiveIntensity=o),Promise.resolve()}}class lf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_CLEARCOAT}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];if(s.clearcoatFactor!==void 0&&(n.clearcoat=s.clearcoatFactor),s.clearcoatTexture!==void 0&&o.push(r.assignTexture(n,"clearcoatMap",s.clearcoatTexture)),s.clearcoatRoughnessFactor!==void 0&&(n.clearcoatRoughness=s.clearcoatRoughnessFactor),s.clearcoatRoughnessTexture!==void 0&&o.push(r.assignTexture(n,"clearcoatRoughnessMap",s.clearcoatRoughnessTexture)),s.clearcoatNormalTexture!==void 0&&(o.push(r.assignTexture(n,"clearcoatNormalMap",s.clearcoatNormalTexture)),s.clearcoatNormalTexture.scale!==void 0)){const a=s.clearcoatNormalTexture.scale;n.clearcoatNormalScale=new Pe(a,a)}return Promise.all(o)}}class uf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_DISPERSION}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const i=this.parser.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=i.extensions[this.name];return n.dispersion=o.dispersion!==void 0?o.dispersion:0,Promise.resolve()}}class cf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_IRIDESCENCE}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return s.iridescenceFactor!==void 0&&(n.iridescence=s.iridescenceFactor),s.iridescenceTexture!==void 0&&o.push(r.assignTexture(n,"iridescenceMap",s.iridescenceTexture)),s.iridescenceIor!==void 0&&(n.iridescenceIOR=s.iridescenceIor),n.iridescenceThicknessRange===void 0&&(n.iridescenceThicknessRange=[100,400]),s.iridescenceThicknessMinimum!==void 0&&(n.iridescenceThicknessRange[0]=s.iridescenceThicknessMinimum),s.iridescenceThicknessMaximum!==void 0&&(n.iridescenceThicknessRange[1]=s.iridescenceThicknessMaximum),s.iridescenceThicknessTexture!==void 0&&o.push(r.assignTexture(n,"iridescenceThicknessMap",s.iridescenceThicknessTexture)),Promise.all(o)}}class ff{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_SHEEN}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[];n.sheenColor=new Fe(0,0,0),n.sheenRoughness=0,n.sheen=1;const s=i.extensions[this.name];if(s.sheenColorFactor!==void 0){const a=s.sheenColorFactor;n.sheenColor.setRGB(a[0],a[1],a[2],vt)}return s.sheenRoughnessFactor!==void 0&&(n.sheenRoughness=s.sheenRoughnessFactor),s.sheenColorTexture!==void 0&&o.push(r.assignTexture(n,"sheenColorMap",s.sheenColorTexture,mn)),s.sheenRoughnessTexture!==void 0&&o.push(r.assignTexture(n,"sheenRoughnessMap",s.sheenRoughnessTexture)),Promise.all(o)}}class df{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_TRANSMISSION}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return s.transmissionFactor!==void 0&&(n.transmission=s.transmissionFactor),s.transmissionTexture!==void 0&&o.push(r.assignTexture(n,"transmissionMap",s.transmissionTexture)),Promise.all(o)}}class pf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_VOLUME}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];n.thickness=s.thicknessFactor!==void 0?s.thicknessFactor:0,s.thicknessTexture!==void 0&&o.push(r.assignTexture(n,"thicknessMap",s.thicknessTexture)),n.attenuationDistance=s.attenuationDistance||1/0;const a=s.attenuationColor||[1,1,1];return n.attenuationColor=new Fe().setRGB(a[0],a[1],a[2],vt),Promise.all(o)}}class hf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_IOR}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const i=this.parser.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=i.extensions[this.name];return n.ior=o.ior!==void 0?o.ior:1.5,Promise.resolve()}}class mf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_SPECULAR}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];n.specularIntensity=s.specularFactor!==void 0?s.specularFactor:1,s.specularTexture!==void 0&&o.push(r.assignTexture(n,"specularIntensityMap",s.specularTexture));const a=s.specularColorFactor||[1,1,1];return n.specularColor=new Fe().setRGB(a[0],a[1],a[2],vt),s.specularColorTexture!==void 0&&o.push(r.assignTexture(n,"specularColorMap",s.specularColorTexture,mn)),Promise.all(o)}}class gf{constructor(e){this.parser=e,this.name=he.EXT_MATERIALS_BUMP}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return n.bumpScale=s.bumpFactor!==void 0?s.bumpFactor:1,s.bumpTexture!==void 0&&o.push(r.assignTexture(n,"bumpMap",s.bumpTexture)),Promise.all(o)}}class yf{constructor(e){this.parser=e,this.name=he.KHR_MATERIALS_ANISOTROPY}getMaterialType(e){const r=this.parser.json.materials[e];return!r.extensions||!r.extensions[this.name]?null:ft}extendMaterialParams(e,n){const r=this.parser,i=r.json.materials[e];if(!i.extensions||!i.extensions[this.name])return Promise.resolve();const o=[],s=i.extensions[this.name];return s.anisotropyStrength!==void 0&&(n.anisotropy=s.anisotropyStrength),s.anisotropyRotation!==void 0&&(n.anisotropyRotation=s.anisotropyRotation),s.anisotropyTexture!==void 0&&o.push(r.assignTexture(n,"anisotropyMap",s.anisotropyTexture)),Promise.all(o)}}class xf{constructor(e){this.parser=e,this.name=he.KHR_TEXTURE_BASISU}loadTexture(e){const n=this.parser,r=n.json,i=r.textures[e];if(!i.extensions||!i.extensions[this.name])return null;const o=i.extensions[this.name],s=n.options.ktx2Loader;if(!s){if(r.extensionsRequired&&r.extensionsRequired.indexOf(this.name)>=0)throw new Error("THREE.GLTFLoader: setKTX2Loader must be called before loading KTX2 textures");return null}return n.loadTextureImage(e,o.source,s)}}class vf{constructor(e){this.parser=e,this.name=he.EXT_TEXTURE_WEBP,this.isSupported=null}loadTexture(e){const n=this.name,r=this.parser,i=r.json,o=i.textures[e];if(!o.extensions||!o.extensions[n])return null;const s=o.extensions[n],a=i.images[s.source];let l=r.textureLoader;if(a.uri){const u=r.options.manager.getHandler(a.uri);u!==null&&(l=u)}return this.detectSupport().then(function(u){if(u)return r.loadTextureImage(e,s.source,l);if(i.extensionsRequired&&i.extensionsRequired.indexOf(n)>=0)throw new Error("THREE.GLTFLoader: WebP required by asset but unsupported.");return r.loadTexture(e)})}detectSupport(){return this.isSupported||(this.isSupported=new Promise(function(e){const n=new Image;n.src="data:image/webp;base64,UklGRiIAAABXRUJQVlA4IBYAAAAwAQCdASoBAAEADsD+JaQAA3AAAAAA",n.onload=n.onerror=function(){e(n.height===1)}})),this.isSupported}}class bf{constructor(e){this.parser=e,this.name=he.EXT_TEXTURE_AVIF,this.isSupported=null}loadTexture(e){const n=this.name,r=this.parser,i=r.json,o=i.textures[e];if(!o.extensions||!o.extensions[n])return null;const s=o.extensions[n],a=i.images[s.source];let l=r.textureLoader;if(a.uri){const u=r.options.manager.getHandler(a.uri);u!==null&&(l=u)}return this.detectSupport().then(function(u){if(u)return r.loadTextureImage(e,s.source,l);if(i.extensionsRequired&&i.extensionsRequired.indexOf(n)>=0)throw new Error("THREE.GLTFLoader: AVIF required by asset but unsupported.");return r.loadTexture(e)})}detectSupport(){return this.isSupported||(this.isSupported=new Promise(function(e){const n=new Image;n.src="data:image/avif;base64,AAAAIGZ0eXBhdmlmAAAAAGF2aWZtaWYxbWlhZk1BMUIAAADybWV0YQAAAAAAAAAoaGRscgAAAAAAAAAAcGljdAAAAAAAAAAAAAAAAGxpYmF2aWYAAAAADnBpdG0AAAAAAAEAAAAeaWxvYwAAAABEAAABAAEAAAABAAABGgAAABcAAAAoaWluZgAAAAAAAQAAABppbmZlAgAAAAABAABhdjAxQ29sb3IAAAAAamlwcnAAAABLaXBjbwAAABRpc3BlAAAAAAAAAAEAAAABAAAAEHBpeGkAAAAAAwgICAAAAAxhdjFDgQAMAAAAABNjb2xybmNseAACAAIABoAAAAAXaXBtYQAAAAAAAAABAAEEAQKDBAAAAB9tZGF0EgAKCBgABogQEDQgMgkQAAAAB8dSLfI=",n.onload=n.onerror=function(){e(n.height===1)}})),this.isSupported}}class wf{constructor(e){this.name=he.EXT_MESHOPT_COMPRESSION,this.parser=e}loadBufferView(e){const n=this.parser.json,r=n.bufferViews[e];if(r.extensions&&r.extensions[this.name]){const i=r.extensions[this.name],o=this.parser.getDependency("buffer",i.buffer),s=this.parser.options.meshoptDecoder;if(!s||!s.supported){if(n.extensionsRequired&&n.extensionsRequired.indexOf(this.name)>=0)throw new Error("THREE.GLTFLoader: setMeshoptDecoder must be called before loading compressed files");return null}return o.then(function(a){const l=i.byteOffset||0,u=i.byteLength||0,c=i.count,f=i.byteStride,p=new Uint8Array(a,l,u);return s.decodeGltfBufferAsync?s.decodeGltfBufferAsync(c,f,p,i.mode,i.filter).then(function(d){return d.buffer}):s.ready.then(function(){const d=new ArrayBuffer(c*f);return s.decodeGltfBuffer(new Uint8Array(d),c,f,p,i.mode,i.filter),d})})}else return null}}class Tf{constructor(e){this.name=he.EXT_MESH_GPU_INSTANCING,this.parser=e}createNodeMesh(e){const n=this.parser.json,r=n.nodes[e];if(!r.extensions||!r.extensions[this.name]||r.mesh===void 0)return null;const i=n.meshes[r.mesh];for(const u of i.primitives)if(u.mode!==nt.TRIANGLES&&u.mode!==nt.TRIANGLE_STRIP&&u.mode!==nt.TRIANGLE_FAN&&u.mode!==void 0)return null;const s=r.extensions[this.name].attributes,a=[],l={};for(const u in s)a.push(this.parser.getDependency("accessor",s[u]).then(c=>(l[u]=c,l[u])));return a.length<1?null:(a.push(this.parser.createNodeMesh(e)),Promise.all(a).then(u=>{const c=u.pop(),f=c.isGroup?c.children:[c],p=u[0].count,d=[];for(const b of f){const x=new xt,v=new se,T=new zn,I=new se(1,1,1),A=new fl(b.geometry,b.material,p);for(let C=0;C<p;C++)l.TRANSLATION&&v.fromBufferAttribute(l.TRANSLATION,C),l.ROTATION&&T.fromBufferAttribute(l.ROTATION,C),l.SCALE&&I.fromBufferAttribute(l.SCALE,C),A.setMatrixAt(C,x.compose(v,T,I));for(const C in l)if(C==="_COLOR_0"){const P=l[C];A.instanceColor=new dl(P.array,P.itemSize,P.normalized)}else C!=="TRANSLATION"&&C!=="ROTATION"&&C!=="SCALE"&&b.geometry.setAttribute(C,l[C]);si.prototype.copy.call(A,b),this.parser.assignFinalMaterial(A),d.push(A)}return c.isGroup?(c.clear(),c.add(...d),c):d[0]}))}}const Os="glTF",sn=12,co={JSON:1313821514,BIN:5130562};class kf{constructor(e){this.name=he.KHR_BINARY_GLTF,this.content=null,this.body=null;const n=new DataView(e,0,sn),r=new TextDecoder;if(this.header={magic:r.decode(new Uint8Array(e.slice(0,4))),version:n.getUint32(4,!0),length:n.getUint32(8,!0)},this.header.magic!==Os)throw new Error("THREE.GLTFLoader: Unsupported glTF-Binary header.");if(this.header.version<2)throw new Error("THREE.GLTFLoader: Legacy binary file detected.");const i=this.header.length-sn,o=new DataView(e,sn);let s=0;for(;s<i;){const a=o.getUint32(s,!0);s+=4;const l=o.getUint32(s,!0);if(s+=4,l===co.JSON){const u=new Uint8Array(e,sn+s,a);this.content=r.decode(u)}else if(l===co.BIN){const u=sn+s;this.body=e.slice(u,u+a)}s+=a}if(this.content===null)throw new Error("THREE.GLTFLoader: JSON content not found.")}}class _f{constructor(e,n){if(!n)throw new Error("THREE.GLTFLoader: No DRACOLoader instance provided.");this.name=he.KHR_DRACO_MESH_COMPRESSION,this.json=e,this.dracoLoader=n,this.dracoLoader.preload()}decodePrimitive(e,n){const r=this.json,i=this.dracoLoader,o=e.extensions[this.name].bufferView,s=e.extensions[this.name].attributes,a={},l={},u={};for(const c in s){const f=jr[c]||c.toLowerCase();a[f]=s[c]}for(const c in e.attributes){const f=jr[c]||c.toLowerCase();if(s[c]!==void 0){const p=r.accessors[e.attributes[c]],d=qt[p.componentType];u[f]=d.name,l[f]=p.normalized===!0}}return n.getDependency("bufferView",o).then(function(c){return new Promise(function(f,p){i.decodeDracoFile(c,function(d){for(const b in d.attributes){const x=d.attributes[b],v=l[b];v!==void 0&&(x.normalized=v)}f(d)},a,u,vt,p)})})}}class Af{constructor(){this.name=he.KHR_TEXTURE_TRANSFORM}extendTexture(e,n){return(n.texCoord===void 0||n.texCoord===e.channel)&&n.offset===void 0&&n.rotation===void 0&&n.scale===void 0||(e=e.clone(),n.texCoord!==void 0&&(e.channel=n.texCoord),n.offset!==void 0&&e.offset.fromArray(n.offset),n.rotation!==void 0&&(e.rotation=n.rotation),n.scale!==void 0&&e.repeat.fromArray(n.scale),e.needsUpdate=!0),e}}class Ef{constructor(){this.name=he.KHR_MESH_QUANTIZATION}}class zs extends El{constructor(e,n,r,i){super(e,n,r,i)}copySampleValue_(e){const n=this.resultBuffer,r=this.sampleValues,i=this.valueSize,o=e*i*3+i;for(let s=0;s!==i;s++)n[s]=r[o+s];return n}interpolate_(e,n,r,i){const o=this.resultBuffer,s=this.sampleValues,a=this.valueSize,l=a*2,u=a*3,c=i-n,f=(r-n)/c,p=f*f,d=p*f,b=e*u,x=b-u,v=-2*d+3*p,T=d-p,I=1-v,A=T-p+f;for(let C=0;C!==a;C++){const P=s[x+C+a],h=s[x+C+l]*c,S=s[b+C+a],y=s[b+C]*c;o[C]=I*P+A*h+v*S+T*y}return o}}const Mf=new zn;class Sf extends zs{interpolate_(e,n,r,i){const o=super.interpolate_(e,n,r,i);return Mf.fromArray(o).normalize().toArray(o),o}}const nt={POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6},qt={5120:Int8Array,5121:Uint8Array,5122:Int16Array,5123:Uint16Array,5125:Uint32Array,5126:Float32Array},fo={9728:Lt,9729:Bn,9984:is,9985:ss,9986:os,9987:oi},po={33071:Ht,33648:as,10497:Un},yr={SCALAR:1,VEC2:2,VEC3:3,VEC4:4,MAT2:4,MAT3:9,MAT4:16},jr={POSITION:"position",NORMAL:"normal",TANGENT:"tangent",TEXCOORD_0:"uv",TEXCOORD_1:"uv1",TEXCOORD_2:"uv2",TEXCOORD_3:"uv3",COLOR_0:"color",WEIGHTS_0:"skinWeight",JOINTS_0:"skinIndex"},Tt={scale:"scale",translation:"position",rotation:"quaternion",weights:"morphTargetInfluences"},If={CUBICSPLINE:void 0,LINEAR:ti,STEP:rs},xr={OPAQUE:"OPAQUE",MASK:"MASK",BLEND:"BLEND"};function Rf(t){return t.DefaultMaterial===void 0&&(t.DefaultMaterial=new cs({color:16777215,emissive:0,metalness:1,roughness:1,transparent:!1,depthTest:!0,side:Al})),t.DefaultMaterial}function Rt(t,e,n){for(const r in n.extensions)t[r]===void 0&&(e.userData.gltfExtensions=e.userData.gltfExtensions||{},e.userData.gltfExtensions[r]=n.extensions[r])}function gt(t,e){e.extras!==void 0&&(typeof e.extras=="object"?Object.assign(t.userData,e.extras):console.warn("THREE.GLTFLoader: Ignoring primitive type .extras, "+e.extras))}function Cf(t,e,n){let r=!1,i=!1,o=!1;for(let u=0,c=e.length;u<c;u++){const f=e[u];if(f.POSITION!==void 0&&(r=!0),f.NORMAL!==void 0&&(i=!0),f.COLOR_0!==void 0&&(o=!0),r&&i&&o)break}if(!r&&!i&&!o)return Promise.resolve(t);const s=[],a=[],l=[];for(let u=0,c=e.length;u<c;u++){const f=e[u];if(r){const p=f.POSITION!==void 0?n.getDependency("accessor",f.POSITION):t.attributes.position;s.push(p)}if(i){const p=f.NORMAL!==void 0?n.getDependency("accessor",f.NORMAL):t.attributes.normal;a.push(p)}if(o){const p=f.COLOR_0!==void 0?n.getDependency("accessor",f.COLOR_0):t.attributes.color;l.push(p)}}return Promise.all([Promise.all(s),Promise.all(a),Promise.all(l)]).then(function(u){const c=u[0],f=u[1],p=u[2];return r&&(t.morphAttributes.position=c),i&&(t.morphAttributes.normal=f),o&&(t.morphAttributes.color=p),t.morphTargetsRelative=!0,t})}function Nf(t,e){if(t.updateMorphTargets(),e.weights!==void 0)for(let n=0,r=e.weights.length;n<r;n++)t.morphTargetInfluences[n]=e.weights[n];if(e.extras&&Array.isArray(e.extras.targetNames)){const n=e.extras.targetNames;if(t.morphTargetInfluences.length===n.length){t.morphTargetDictionary={};for(let r=0,i=n.length;r<i;r++)t.morphTargetDictionary[n[r]]=r}else console.warn("THREE.GLTFLoader: Invalid extras.targetNames length. Ignoring names.")}}function Lf(t){let e;const n=t.extensions&&t.extensions[he.KHR_DRACO_MESH_COMPRESSION];if(n?e="draco:"+n.bufferView+":"+n.indices+":"+vr(n.attributes):e=t.indices+":"+vr(t.attributes)+":"+t.mode,t.targets!==void 0)for(let r=0,i=t.targets.length;r<i;r++)e+=":"+vr(t.targets[r]);return e}function vr(t){let e="";const n=Object.keys(t).sort();for(let r=0,i=n.length;r<i;r++)e+=n[r]+":"+t[n[r]]+";";return e}function Vr(t){switch(t){case Int8Array:return 1/127;case Uint8Array:return 1/255;case Int16Array:return 1/32767;case Uint16Array:return 1/65535;default:throw new Error("THREE.GLTFLoader: Unsupported normalized accessor component type.")}}function Pf(t){return t.search(/\.jpe?g($|\?)/i)>0||t.search(/^data\:image\/jpeg/)===0?"image/jpeg":t.search(/\.webp($|\?)/i)>0||t.search(/^data\:image\/webp/)===0?"image/webp":t.search(/\.ktx2($|\?)/i)>0||t.search(/^data\:image\/ktx2/)===0?"image/ktx2":"image/png"}const Df=new xt;class Of{constructor(e={},n={}){this.json=e,this.extensions={},this.plugins={},this.options=n,this.cache=new rf,this.associations=new Map,this.primitiveCache={},this.nodeCache={},this.meshCache={refs:{},uses:{}},this.cameraCache={refs:{},uses:{}},this.lightCache={refs:{},uses:{}},this.sourceCache={},this.textureCache={},this.nodeNamesUsed={};let r=!1,i=-1,o=!1,s=-1;if(typeof navigator<"u"){const a=navigator.userAgent;r=/^((?!chrome|android).)*safari/i.test(a)===!0;const l=a.match(/Version\/(\d+)/);i=r&&l?parseInt(l[1],10):-1,o=a.indexOf("Firefox")>-1,s=o?a.match(/Firefox\/([0-9]+)\./)[1]:-1}typeof createImageBitmap>"u"||r&&i<17||o&&s<98?this.textureLoader=new pl(this.options.manager):this.textureLoader=new hl(this.options.manager),this.textureLoader.setCrossOrigin(this.options.crossOrigin),this.textureLoader.setRequestHeader(this.options.requestHeader),this.fileLoader=new us(this.options.manager),this.fileLoader.setResponseType("arraybuffer"),this.options.crossOrigin==="use-credentials"&&this.fileLoader.setWithCredentials(!0)}setExtensions(e){this.extensions=e}setPlugins(e){this.plugins=e}parse(e,n){const r=this,i=this.json,o=this.extensions;this.cache.removeAll(),this.nodeCache={},this._invokeAll(function(s){return s._markDefs&&s._markDefs()}),Promise.all(this._invokeAll(function(s){return s.beforeRoot&&s.beforeRoot()})).then(function(){return Promise.all([r.getDependencies("scene"),r.getDependencies("animation"),r.getDependencies("camera")])}).then(function(s){const a={scene:s[0][i.scene||0],scenes:s[0],animations:s[1],cameras:s[2],asset:i.asset,parser:r,userData:{}};return Rt(o,a,i),gt(a,i),Promise.all(r._invokeAll(function(l){return l.afterRoot&&l.afterRoot(a)})).then(function(){for(const l of a.scenes)l.updateMatrixWorld();e(a)})}).catch(n)}_markDefs(){const e=this.json.nodes||[],n=this.json.skins||[],r=this.json.meshes||[];for(let i=0,o=n.length;i<o;i++){const s=n[i].joints;for(let a=0,l=s.length;a<l;a++)e[s[a]].isBone=!0}for(let i=0,o=e.length;i<o;i++){const s=e[i];s.mesh!==void 0&&(this._addNodeRef(this.meshCache,s.mesh),s.skin!==void 0&&(r[s.mesh].isSkinnedMesh=!0)),s.camera!==void 0&&this._addNodeRef(this.cameraCache,s.camera)}}_addNodeRef(e,n){n!==void 0&&(e.refs[n]===void 0&&(e.refs[n]=e.uses[n]=0),e.refs[n]++)}_getNodeRef(e,n,r){if(e.refs[n]<=1)return r;const i=r.clone(),o=(s,a)=>{const l=this.associations.get(s);l!=null&&this.associations.set(a,l);for(const[u,c]of s.children.entries())o(c,a.children[u])};return o(r,i),i.name+="_instance_"+e.uses[n]++,i}_invokeOne(e){const n=Object.values(this.plugins);n.push(this);for(let r=0;r<n.length;r++){const i=e(n[r]);if(i)return i}return null}_invokeAll(e){const n=Object.values(this.plugins);n.unshift(this);const r=[];for(let i=0;i<n.length;i++){const o=e(n[i]);o&&r.push(o)}return r}getDependency(e,n){const r=e+":"+n;let i=this.cache.get(r);if(!i){switch(e){case"scene":i=this.loadScene(n);break;case"node":i=this._invokeOne(function(o){return o.loadNode&&o.loadNode(n)});break;case"mesh":i=this._invokeOne(function(o){return o.loadMesh&&o.loadMesh(n)});break;case"accessor":i=this.loadAccessor(n);break;case"bufferView":i=this._invokeOne(function(o){return o.loadBufferView&&o.loadBufferView(n)});break;case"buffer":i=this.loadBuffer(n);break;case"material":i=this._invokeOne(function(o){return o.loadMaterial&&o.loadMaterial(n)});break;case"texture":i=this._invokeOne(function(o){return o.loadTexture&&o.loadTexture(n)});break;case"skin":i=this.loadSkin(n);break;case"animation":i=this._invokeOne(function(o){return o.loadAnimation&&o.loadAnimation(n)});break;case"camera":i=this.loadCamera(n);break;default:if(i=this._invokeOne(function(o){return o!=this&&o.getDependency&&o.getDependency(e,n)}),!i)throw new Error("Unknown type: "+e);break}this.cache.add(r,i)}return i}getDependencies(e){let n=this.cache.get(e);if(!n){const r=this,i=this.json[e+(e==="mesh"?"es":"s")]||[];n=Promise.all(i.map(function(o,s){return r.getDependency(e,s)})),this.cache.add(e,n)}return n}loadBuffer(e){const n=this.json.buffers[e],r=this.fileLoader;if(n.type&&n.type!=="arraybuffer")throw new Error("THREE.GLTFLoader: "+n.type+" buffer type is not supported.");if(n.uri===void 0&&e===0)return Promise.resolve(this.extensions[he.KHR_BINARY_GLTF].body);const i=this.options;return new Promise(function(o,s){r.load(cn.resolveURL(n.uri,i.path),o,void 0,function(){s(new Error('THREE.GLTFLoader: Failed to load buffer "'+n.uri+'".'))})})}loadBufferView(e){const n=this.json.bufferViews[e];return this.getDependency("buffer",n.buffer).then(function(r){const i=n.byteLength||0,o=n.byteOffset||0;return r.slice(o,o+i)})}loadAccessor(e){const n=this,r=this.json,i=this.json.accessors[e];if(i.bufferView===void 0&&i.sparse===void 0){const s=yr[i.type],a=qt[i.componentType],l=i.normalized===!0,u=new a(i.count*s);return Promise.resolve(new Nt(u,s,l))}const o=[];return i.bufferView!==void 0?o.push(this.getDependency("bufferView",i.bufferView)):o.push(null),i.sparse!==void 0&&(o.push(this.getDependency("bufferView",i.sparse.indices.bufferView)),o.push(this.getDependency("bufferView",i.sparse.values.bufferView))),Promise.all(o).then(function(s){const a=s[0],l=yr[i.type],u=qt[i.componentType],c=u.BYTES_PER_ELEMENT,f=c*l,p=i.byteOffset||0,d=i.bufferView!==void 0?r.bufferViews[i.bufferView].byteStride:void 0,b=i.normalized===!0;let x,v;if(d&&d!==f){const T=Math.floor(p/d),I="InterleavedBuffer:"+i.bufferView+":"+i.componentType+":"+T+":"+i.count;let A=n.cache.get(I);A||(x=new u(a,T*d,i.count*d/c),A=new Qo(x,d/c),n.cache.add(I,A)),v=new ni(A,l,p%d/c,b)}else a===null?x=new u(i.count*l):x=new u(a,p,i.count*l),v=new Nt(x,l,b);if(i.sparse!==void 0){const T=yr.SCALAR,I=qt[i.sparse.indices.componentType],A=i.sparse.indices.byteOffset||0,C=i.sparse.values.byteOffset||0,P=new I(s[1],A,i.sparse.count*T),h=new u(s[2],C,i.sparse.count*l);a!==null&&(v=new Nt(v.array.slice(),v.itemSize,v.normalized)),v.normalized=!1;for(let S=0,y=P.length;S<y;S++){const g=P[S];if(v.setX(g,h[S*l]),l>=2&&v.setY(g,h[S*l+1]),l>=3&&v.setZ(g,h[S*l+2]),l>=4&&v.setW(g,h[S*l+3]),l>=5)throw new Error("THREE.GLTFLoader: Unsupported itemSize in sparse BufferAttribute.")}v.normalized=b}return v})}loadTexture(e){const n=this.json,r=this.options,o=n.textures[e].source,s=n.images[o];let a=this.textureLoader;if(s.uri){const l=r.manager.getHandler(s.uri);l!==null&&(a=l)}return this.loadTextureImage(e,o,a)}loadTextureImage(e,n,r){const i=this,o=this.json,s=o.textures[e],a=o.images[n],l=(a.uri||a.bufferView)+":"+s.sampler;if(this.textureCache[l])return this.textureCache[l];const u=this.loadImageSource(n,r).then(function(c){c.flipY=!1,c.name=s.name||a.name||"",c.name===""&&typeof a.uri=="string"&&a.uri.startsWith("data:image/")===!1&&(c.name=a.uri);const p=(o.samplers||{})[s.sampler]||{};return c.magFilter=fo[p.magFilter]||Bn,c.minFilter=fo[p.minFilter]||oi,c.wrapS=po[p.wrapS]||Un,c.wrapT=po[p.wrapT]||Un,c.generateMipmaps=!c.isCompressedTexture&&c.minFilter!==Lt&&c.minFilter!==Bn,i.associations.set(c,{textures:e}),c}).catch(function(){return null});return this.textureCache[l]=u,u}loadImageSource(e,n){const r=this,i=this.json,o=this.options;if(this.sourceCache[e]!==void 0)return this.sourceCache[e].then(f=>f.clone());const s=i.images[e],a=self.URL||self.webkitURL;let l=s.uri||"",u=!1;if(s.bufferView!==void 0)l=r.getDependency("bufferView",s.bufferView).then(function(f){u=!0;const p=new Blob([f],{type:s.mimeType});return l=a.createObjectURL(p),l});else if(s.uri===void 0)throw new Error("THREE.GLTFLoader: Image "+e+" is missing URI and bufferView");const c=Promise.resolve(l).then(function(f){return new Promise(function(p,d){let b=p;n.isImageBitmapLoader===!0&&(b=function(x){const v=new Fn(x);v.needsUpdate=!0,p(v)}),n.load(cn.resolveURL(f,o.path),b,void 0,d)})}).then(function(f){return u===!0&&a.revokeObjectURL(l),gt(f,s),f.userData.mimeType=s.mimeType||Pf(s.uri),f}).catch(function(f){throw console.error("THREE.GLTFLoader: Couldn't load texture",l),f});return this.sourceCache[e]=c,c}assignTexture(e,n,r,i){const o=this;return this.getDependency("texture",r.index).then(function(s){if(!s)return null;if(r.texCoord!==void 0&&r.texCoord>0&&(s=s.clone(),s.channel=r.texCoord),o.extensions[he.KHR_TEXTURE_TRANSFORM]){const a=r.extensions!==void 0?r.extensions[he.KHR_TEXTURE_TRANSFORM]:void 0;if(a){const l=o.associations.get(s);s=o.extensions[he.KHR_TEXTURE_TRANSFORM].extendTexture(s,a),o.associations.set(s,l)}}return i!==void 0&&(s.colorSpace=i),e[n]=s,s})}assignFinalMaterial(e){const n=e.geometry;let r=e.material;const i=n.attributes.tangent===void 0,o=n.attributes.color!==void 0,s=n.attributes.normal===void 0;if(e.isPoints){const a="PointsMaterial:"+r.uuid;let l=this.cache.get(a);l||(l=new ml,nr.prototype.copy.call(l,r),l.color.copy(r.color),l.map=r.map,l.sizeAttenuation=!1,this.cache.add(a,l)),r=l}else if(e.isLine){const a="LineBasicMaterial:"+r.uuid;let l=this.cache.get(a);l||(l=new gl,nr.prototype.copy.call(l,r),l.color.copy(r.color),l.map=r.map,this.cache.add(a,l)),r=l}if(i||o||s){let a="ClonedMaterial:"+r.uuid+":";i&&(a+="derivative-tangents:"),o&&(a+="vertex-colors:"),s&&(a+="flat-shading:");let l=this.cache.get(a);l||(l=r.clone(),o&&(l.vertexColors=!0),s&&(l.flatShading=!0),i&&(l.normalScale&&(l.normalScale.y*=-1),l.clearcoatNormalScale&&(l.clearcoatNormalScale.y*=-1)),this.cache.add(a,l),this.associations.set(l,this.associations.get(r))),r=l}e.material=r}getMaterialType(){return cs}loadMaterial(e){const n=this,r=this.json,i=this.extensions,o=r.materials[e];let s;const a={},l=o.extensions||{},u=[];if(l[he.KHR_MATERIALS_UNLIT]){const f=i[he.KHR_MATERIALS_UNLIT];s=f.getMaterialType(),u.push(f.extendParams(a,o,n))}else{const f=o.pbrMetallicRoughness||{};if(a.color=new Fe(1,1,1),a.opacity=1,Array.isArray(f.baseColorFactor)){const p=f.baseColorFactor;a.color.setRGB(p[0],p[1],p[2],vt),a.opacity=p[3]}f.baseColorTexture!==void 0&&u.push(n.assignTexture(a,"map",f.baseColorTexture,mn)),a.metalness=f.metallicFactor!==void 0?f.metallicFactor:1,a.roughness=f.roughnessFactor!==void 0?f.roughnessFactor:1,f.metallicRoughnessTexture!==void 0&&(u.push(n.assignTexture(a,"metalnessMap",f.metallicRoughnessTexture)),u.push(n.assignTexture(a,"roughnessMap",f.metallicRoughnessTexture))),s=this._invokeOne(function(p){return p.getMaterialType&&p.getMaterialType(e)}),u.push(Promise.all(this._invokeAll(function(p){return p.extendMaterialParams&&p.extendMaterialParams(e,a)})))}o.doubleSided===!0&&(a.side=Yn);const c=o.alphaMode||xr.OPAQUE;if(c===xr.BLEND?(a.transparent=!0,a.depthWrite=!1):(a.transparent=!1,c===xr.MASK&&(a.alphaTest=o.alphaCutoff!==void 0?o.alphaCutoff:.5)),o.normalTexture!==void 0&&s!==Vt&&(u.push(n.assignTexture(a,"normalMap",o.normalTexture)),a.normalScale=new Pe(1,1),o.normalTexture.scale!==void 0)){const f=o.normalTexture.scale;a.normalScale.set(f,f)}if(o.occlusionTexture!==void 0&&s!==Vt&&(u.push(n.assignTexture(a,"aoMap",o.occlusionTexture)),o.occlusionTexture.strength!==void 0&&(a.aoMapIntensity=o.occlusionTexture.strength)),o.emissiveFactor!==void 0&&s!==Vt){const f=o.emissiveFactor;a.emissive=new Fe().setRGB(f[0],f[1],f[2],vt)}return o.emissiveTexture!==void 0&&s!==Vt&&u.push(n.assignTexture(a,"emissiveMap",o.emissiveTexture,mn)),Promise.all(u).then(function(){const f=new s(a);return o.name&&(f.name=o.name),gt(f,o),n.associations.set(f,{materials:e}),o.extensions&&Rt(i,f,o),f})}createUniqueName(e){const n=hn.sanitizeNodeName(e||"");return n in this.nodeNamesUsed?n+"_"+ ++this.nodeNamesUsed[n]:(this.nodeNamesUsed[n]=0,n)}loadGeometries(e){const n=this,r=this.extensions,i=this.primitiveCache;function o(a){return r[he.KHR_DRACO_MESH_COMPRESSION].decodePrimitive(a,n).then(function(l){return ho(l,a,n)})}const s=[];for(let a=0,l=e.length;a<l;a++){const u=e[a],c=Lf(u),f=i[c];if(f)s.push(f.promise);else{let p;u.extensions&&u.extensions[he.KHR_DRACO_MESH_COMPRESSION]?p=o(u):p=ho(new Zo,u,n),i[c]={primitive:u,promise:p},s.push(p)}}return Promise.all(s)}loadMesh(e){const n=this,r=this.json,i=this.extensions,o=r.meshes[e],s=o.primitives,a=[];for(let l=0,u=s.length;l<u;l++){const c=s[l].material===void 0?Rf(this.cache):this.getDependency("material",s[l].material);a.push(c)}return a.push(n.loadGeometries(s)),Promise.all(a).then(function(l){const u=l.slice(0,l.length-1),c=l[l.length-1],f=[];for(let d=0,b=c.length;d<b;d++){const x=c[d],v=s[d];let T;const I=u[d];if(v.mode===nt.TRIANGLES||v.mode===nt.TRIANGLE_STRIP||v.mode===nt.TRIANGLE_FAN||v.mode===void 0)T=o.isSkinnedMesh===!0?new yl(x,I):new Pt(x,I),T.isSkinnedMesh===!0&&T.normalizeSkinWeights(),v.mode===nt.TRIANGLE_STRIP?T.geometry=uo(T.geometry,ls):v.mode===nt.TRIANGLE_FAN&&(T.geometry=uo(T.geometry,Or));else if(v.mode===nt.LINES)T=new xl(x,I);else if(v.mode===nt.LINE_STRIP)T=new vl(x,I);else if(v.mode===nt.LINE_LOOP)T=new bl(x,I);else if(v.mode===nt.POINTS)T=new wl(x,I);else throw new Error("THREE.GLTFLoader: Primitive mode unsupported: "+v.mode);Object.keys(T.geometry.morphAttributes).length>0&&Nf(T,o),T.name=n.createUniqueName(o.name||"mesh_"+e),gt(T,o),v.extensions&&Rt(i,T,v),n.assignFinalMaterial(T),f.push(T)}for(let d=0,b=f.length;d<b;d++)n.associations.set(f[d],{meshes:e,primitives:d});if(f.length===1)return o.extensions&&Rt(i,f[0],o),f[0];const p=new rr;o.extensions&&Rt(i,p,o),n.associations.set(p,{meshes:e});for(let d=0,b=f.length;d<b;d++)p.add(f[d]);return p})}loadCamera(e){let n;const r=this.json.cameras[e],i=r[r.type];if(!i){console.warn("THREE.GLTFLoader: Missing camera parameters.");return}return r.type==="perspective"?n=new Et(Dt.radToDeg(i.yfov),i.aspectRatio||1,i.znear||1,i.zfar||2e6):r.type==="orthographic"&&(n=new Gt(-i.xmag,i.xmag,i.ymag,-i.ymag,i.znear,i.zfar)),r.name&&(n.name=this.createUniqueName(r.name)),gt(n,r),Promise.resolve(n)}loadSkin(e){const n=this.json.skins[e],r=[];for(let i=0,o=n.joints.length;i<o;i++)r.push(this._loadNodeShallow(n.joints[i]));return n.inverseBindMatrices!==void 0?r.push(this.getDependency("accessor",n.inverseBindMatrices)):r.push(null),Promise.all(r).then(function(i){const o=i.pop(),s=i,a=[],l=[];for(let u=0,c=s.length;u<c;u++){const f=s[u];if(f){a.push(f);const p=new xt;o!==null&&p.fromArray(o.array,u*16),l.push(p)}else console.warn('THREE.GLTFLoader: Joint "%s" could not be found.',n.joints[u])}return new Tl(a,l)})}loadAnimation(e){const n=this.json,r=this,i=n.animations[e],o=i.name?i.name:"animation_"+e,s=[],a=[],l=[],u=[],c=[];for(let f=0,p=i.channels.length;f<p;f++){const d=i.channels[f],b=i.samplers[d.sampler],x=d.target,v=x.node,T=i.parameters!==void 0?i.parameters[b.input]:b.input,I=i.parameters!==void 0?i.parameters[b.output]:b.output;x.node!==void 0&&(s.push(this.getDependency("node",v)),a.push(this.getDependency("accessor",T)),l.push(this.getDependency("accessor",I)),u.push(b),c.push(x))}return Promise.all([Promise.all(s),Promise.all(a),Promise.all(l),Promise.all(u),Promise.all(c)]).then(function(f){const p=f[0],d=f[1],b=f[2],x=f[3],v=f[4],T=[];for(let I=0,A=p.length;I<A;I++){const C=p[I],P=d[I],h=b[I],S=x[I],y=v[I];if(C===void 0)continue;C.updateMatrix&&C.updateMatrix();const g=r._createAnimationTracks(C,P,h,S,y);if(g)for(let m=0;m<g.length;m++)T.push(g[m])}return new kl(o,void 0,T)})}createNodeMesh(e){const n=this.json,r=this,i=n.nodes[e];return i.mesh===void 0?null:r.getDependency("mesh",i.mesh).then(function(o){const s=r._getNodeRef(r.meshCache,i.mesh,o);return i.weights!==void 0&&s.traverse(function(a){if(a.isMesh)for(let l=0,u=i.weights.length;l<u;l++)a.morphTargetInfluences[l]=i.weights[l]}),s})}loadNode(e){const n=this.json,r=this,i=n.nodes[e],o=r._loadNodeShallow(e),s=[],a=i.children||[];for(let u=0,c=a.length;u<c;u++)s.push(r.getDependency("node",a[u]));const l=i.skin===void 0?Promise.resolve(null):r.getDependency("skin",i.skin);return Promise.all([o,Promise.all(s),l]).then(function(u){const c=u[0],f=u[1],p=u[2];p!==null&&c.traverse(function(d){d.isSkinnedMesh&&d.bind(p,Df)});for(let d=0,b=f.length;d<b;d++)c.add(f[d]);return c})}_loadNodeShallow(e){const n=this.json,r=this.extensions,i=this;if(this.nodeCache[e]!==void 0)return this.nodeCache[e];const o=n.nodes[e],s=o.name?i.createUniqueName(o.name):"",a=[],l=i._invokeOne(function(u){return u.createNodeMesh&&u.createNodeMesh(e)});return l&&a.push(l),o.camera!==void 0&&a.push(i.getDependency("camera",o.camera).then(function(u){return i._getNodeRef(i.cameraCache,o.camera,u)})),i._invokeAll(function(u){return 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c=0,f=l.length;c<f;c++)o.add(l[c]);const u=c=>{const f=new Map;for(const[p,d]of i.associations)(p instanceof nr||p instanceof Fn)&&f.set(p,d);return c.traverse(p=>{const d=i.associations.get(p);d!=null&&f.set(p,d)}),f};return i.associations=u(o),o})}_createAnimationTracks(e,n,r,i,o){const s=[],a=e.name?e.name:e.uuid,l=[];Tt[o.path]===Tt.weights?e.traverse(function(p){p.morphTargetInfluences&&l.push(p.name?p.name:p.uuid)}):l.push(a);let u;switch(Tt[o.path]){case Tt.weights:u=Ni;break;case Tt.rotation:u=Li;break;case Tt.translation:case Tt.scale:u=Ci;break;default:switch(r.itemSize){case 1:u=Ni;break;case 2:case 3:default:u=Ci;break}break}const c=i.interpolation!==void 0?If[i.interpolation]:ti,f=this._getArrayFromAccessor(r);for(let p=0,d=l.length;p<d;p++){const b=new u(l[p]+"."+Tt[o.path],n.array,f,c);i.interpolation==="CUBICSPLINE"&&this._createCubicSplineTrackInterpolant(b),s.push(b)}return s}_getArrayFromAccessor(e){let n=e.array;if(e.normalized){const r=Vr(n.constructor),i=new 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Ao(t){if(t===null||Ke(t)||Ep(t))return 1;if(Ap(t))return 2}function xi(t,e,n){const r=[];let i=-1;for(;++i<t.length;){const o=t[i].resolveAll;o&&!r.includes(o)&&(e=o(e,n),r.push(o))}return e}const Yr={name:"attention",resolveAll:Np,tokenize:Lp};function Np(t,e){let n=-1,r,i,o,s,a,l,u,c;for(;++n<t.length;)if(t[n][0]==="enter"&&t[n][1].type==="attentionSequence"&&t[n][1]._close){for(r=n;r--;)if(t[r][0]==="exit"&&t[r][1].type==="attentionSequence"&&t[r][1]._open&&e.sliceSerialize(t[r][1]).charCodeAt(0)===e.sliceSerialize(t[n][1]).charCodeAt(0)){if((t[r][1]._close||t[n][1]._open)&&(t[n][1].end.offset-t[n][1].start.offset)%3&&!((t[r][1].end.offset-t[r][1].start.offset+t[n][1].end.offset-t[n][1].start.offset)%3))continue;l=t[r][1].end.offset-t[r][1].start.offset>1&&t[n][1].end.offset-t[n][1].start.offset>1?2:1;const 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d===62?(t.exit("autolinkProtocol"),t.enter("autolinkMarker"),t.consume(d),t.exit("autolinkMarker"),t.exit("autolink"),e):d===null||d===32||d===60||$r(d)?n(d):(t.consume(d),l)}function u(d){return d===64?(t.consume(d),c):Tp(d)?(t.consume(d),u):n(d)}function c(d){return et(d)?f(d):n(d)}function f(d){return d===46?(t.consume(d),r=0,c):d===62?(t.exit("autolinkProtocol").type="autolinkEmail",t.enter("autolinkMarker"),t.consume(d),t.exit("autolinkMarker"),t.exit("autolink"),e):p(d)}function p(d){if((d===45||et(d))&&r++<63){const b=d===45?p:f;return t.consume(d),b}return n(d)}}const Qn={partial:!0,tokenize:Op};function Op(t,e,n){return r;function r(o){return Ae(o)?Ce(t,i,"linePrefix")(o):i(o)}function i(o){return o===null||ae(o)?e(o):n(o)}}const ea={continuation:{tokenize:Fp},exit:Bp,name:"blockQuote",tokenize:zp};function zp(t,e,n){const r=this;return i;function i(s){if(s===62){const a=r.containerState;return 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diff --git a/assets/live2d-zip-loader-CvpgOHsT.js b/assets/live2d-zip-loader-DFrBymqv.js
similarity index 99%
rename from assets/live2d-zip-loader-CvpgOHsT.js
rename to assets/live2d-zip-loader-DFrBymqv.js
index 9857f791afe2a88d703e9a8b831aad353f6d2b89..f264ac245d7025c8e0319c57f199885e2bcaff3f 100644
--- a/assets/live2d-zip-loader-CvpgOHsT.js
+++ b/assets/live2d-zip-loader-DFrBymqv.js
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Ti[Dl?0:1]=this.readInt32(t),Ti[Dl?1:0]=this.readInt32(t+4),ty[0]}writeInt8(t,e){this.bytes_[t]=e}writeUint8(t,e){this.bytes_[t]=e}writeInt16(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8}writeUint16(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8}writeInt32(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8,this.bytes_[t+2]=e>>16,this.bytes_[t+3]=e>>24}writeUint32(t,e){this.bytes_[t]=e,this.bytes_[t+1]=e>>8,this.bytes_[t+2]=e>>16,this.bytes_[t+3]=e>>24}writeInt64(t,e){this.writeInt32(t,Number(BigInt.asIntN(32,e))),this.writeInt32(t+4,Number(BigInt.asIntN(32,e>>BigInt(32))))}writeUint64(t,e){this.writeUint32(t,Number(BigInt.asUintN(32,e))),this.writeUint32(t+4,Number(BigInt.asUintN(32,e>>BigInt(32))))}writeFloat32(t,e){Jg[0]=e,this.writeInt32(t,Ti[0])}writeFloat64(t,e){ty[0]=e,this.writeInt32(t,Ti[Dl?0:1]),this.writeInt32(t+4,Ti[Dl?1:0])}getBufferIdentifier(){if(this.bytes_.length<this.position_+Pn+oi)throw new Error("FlatBuffers: ByteBuffer is too short to contain an identifier.");let t="";for(let e=0;e<oi;e++)t+=String.fromCharCode(this.readInt8(this.position_+Pn+e));return t}__offset(t,e){const n=t-this.readInt32(t);return e<this.readInt16(n)?this.readInt16(n+e):0}__union(t,e){return t.bb_pos=e+this.readInt32(e),t.bb=this,t}__string(t,e){t+=this.readInt32(t);const n=this.readInt32(t);t+=Pn;const i=this.bytes_.subarray(t,t+n);return e===Yd.UTF8_BYTES?i:this.text_decoder_.decode(i)}__union_with_string(t,e){return typeof t=="string"?this.__string(e):this.__union(t,e)}__indirect(t){return t+this.readInt32(t)}__vector(t){return t+this.readInt32(t)+Pn}__vector_len(t){return this.readInt32(t+this.readInt32(t))}__has_identifier(t){if(t.length!=oi)throw new Error("FlatBuffers: file identifier must be length "+oi);for(let e=0;e<oi;e++)if(t.charCodeAt(e)!=this.readInt8(this.position()+Pn+e))return!1;return!0}createScalarList(t,e){const n=[];for(let i=0;i<e;++i){const s=t(i);s!==null&&n.push(s)}return n}createObjList(t,e){const n=[];for(let i=0;i<e;++i){const s=t(i);s!==null&&n.push(s.unpack())}return n}},kb=class zb{constructor(t){this.minalign=1,this.vtable=null,this.vtable_in_use=0,this.isNested=!1,this.object_start=0,this.vtables=[],this.vector_num_elems=0,this.force_defaults=!1,this.string_maps=null,this.text_encoder=new TextEncoder;let e;t?e=t:e=1024,this.bb=Mo.allocate(e),this.space=e}clear(){this.bb.clear(),this.space=this.bb.capacity(),this.minalign=1,this.vtable=null,this.vtable_in_use=0,this.isNested=!1,this.object_start=0,this.vtables=[],this.vector_num_elems=0,this.force_defaults=!1,this.string_maps=null}forceDefaults(t){this.force_defaults=t}dataBuffer(){return this.bb}asUint8Array(){return this.bb.bytes().subarray(this.bb.position(),this.bb.position()+this.offset())}prep(t,e){t>this.minalign&&(this.minalign=t);const n=~(this.bb.capacity()-this.space+e)+1&t-1;for(;this.space<n+t+e;){const i=this.bb.capacity();this.bb=zb.growByteBuffer(this.bb),this.space+=this.bb.capacity()-i}this.pad(n)}pad(t){for(let e=0;e<t;e++)this.bb.writeInt8(--this.space,0)}writeInt8(t){this.bb.writeInt8(this.space-=1,t)}writeInt16(t){this.bb.writeInt16(this.space-=2,t)}writeInt32(t){this.bb.writeInt32(this.space-=4,t)}writeInt64(t){this.bb.writeInt64(this.space-=8,t)}writeFloat32(t){this.bb.writeFloat32(this.space-=4,t)}writeFloat64(t){this.bb.writeFloat64(this.space-=8,t)}addInt8(t){this.prep(1,0),this.writeInt8(t)}addInt16(t){this.prep(2,0),this.writeInt16(t)}addInt32(t){this.prep(4,0),this.writeInt32(t)}addInt64(t){this.prep(8,0),this.writeInt64(t)}addFloat32(t){this.prep(4,0),this.writeFloat32(t)}addFloat64(t){this.prep(8,0),this.writeFloat64(t)}addFieldInt8(t,e,n){(this.force_defaults||e!=n)&&(this.addInt8(e),this.slot(t))}addFieldInt16(t,e,n){(this.force_defaults||e!=n)&&(this.addInt16(e),this.slot(t))}addFieldInt32(t,e,n){(this.force_defaults||e!=n)&&(this.addInt32(e),this.slot(t))}addFieldInt64(t,e,n){(this.force_defaults||e!==n)&&(this.addInt64(e),this.slot(t))}addFieldFloat32(t,e,n){(this.force_defaults||e!=n)&&(this.addFloat32(e),this.slot(t))}addFieldFloat64(t,e,n){(this.force_defaults||e!=n)&&(this.addFloat64(e),this.slot(t))}addFieldOffset(t,e,n){(this.force_defaults||e!=n)&&(this.addOffset(e),this.slot(t))}addFieldStruct(t,e,n){e!=n&&(this.nested(e),this.slot(t))}nested(t){if(t!=this.offset())throw new TypeError("FlatBuffers: struct must be serialized inline.")}notNested(){if(this.isNested)throw new TypeError("FlatBuffers: object serialization must not be nested.")}slot(t){this.vtable!==null&&(this.vtable[t]=this.offset())}offset(){return this.bb.capacity()-this.space}static growByteBuffer(t){const e=t.capacity();if(e&3221225472)throw new Error("FlatBuffers: cannot grow buffer beyond 2 gigabytes.");const n=e<<1,i=Mo.allocate(n);return i.setPosition(n-e),i.bytes().set(t.bytes(),n-e),i}addOffset(t){this.prep(Pn,0),this.writeInt32(this.offset()-t+Pn)}startObject(t){this.notNested(),this.vtable==null&&(this.vtable=[]),this.vtable_in_use=t;for(let e=0;e<t;e++)this.vtable[e]=0;this.isNested=!0,this.object_start=this.offset()}endObject(){if(this.vtable==null||!this.isNested)throw new Error("FlatBuffers: endObject called without startObject");this.addInt32(0);const t=this.offset();let e=this.vtable_in_use-1;for(;e>=0&&this.vtable[e]==0;e--);const n=e+1;for(;e>=0;e--)this.addInt16(this.vtable[e]!=0?t-this.vtable[e]:0);const i=2;this.addInt16(t-this.object_start);const s=(n+i)*Mh;this.addInt16(s);let o=0;const a=this.space;t:for(e=0;e<this.vtables.length;e++){const l=this.bb.capacity()-this.vtables[e];if(s==this.bb.readInt16(l)){for(let u=Mh;u<s;u+=Mh)if(this.bb.readInt16(a+u)!=this.bb.readInt16(l+u))continue t;o=this.vtables[e];break}}return o?(this.space=this.bb.capacity()-t,this.bb.writeInt32(this.space,o-t)):(this.vtables.push(this.offset()),this.bb.writeInt32(this.bb.capacity()-t,this.offset()-t)),this.isNested=!1,t}finish(t,e,n){const i=n?_e:0;if(e){const s=e;if(this.prep(this.minalign,Pn+oi+i),s.length!=oi)throw new TypeError("FlatBuffers: file identifier must be length "+oi);for(let o=oi-1;o>=0;o--)this.writeInt8(s.charCodeAt(o))}this.prep(this.minalign,Pn+i),this.addOffset(t),i&&this.addInt32(this.bb.capacity()-this.space),this.bb.setPosition(this.space)}finishSizePrefixed(t,e){this.finish(t,e,!0)}requiredField(t,e){const n=this.bb.capacity()-t,i=n-this.bb.readInt32(n);if(!(e<this.bb.readInt16(i)&&this.bb.readInt16(i+e)!=0))throw new TypeError("FlatBuffers: field "+e+" must be set")}startVector(t,e,n){this.notNested(),this.vector_num_elems=e,this.prep(Pn,t*e),this.prep(n,t*e)}endVector(){return this.writeInt32(this.vector_num_elems),this.offset()}createSharedString(t){if(!t)return 0;if(this.string_maps||(this.string_maps=new Map),this.string_maps.has(t))return this.string_maps.get(t);const e=this.createString(t);return this.string_maps.set(t,e),e}createString(t){if(t==null)return 0;let e;return t instanceof Uint8Array?e=t:e=this.text_encoder.encode(t),this.addInt8(0),this.startVector(1,e.length,1),this.bb.setPosition(this.space-=e.length),this.bb.bytes().set(e,this.space),this.endVector()}createByteVector(t){return t==null?0:(this.startVector(1,t.length,1),this.bb.setPosition(this.space-=t.length),this.bb.bytes().set(t,this.space),this.endVector())}createObjectOffset(t){return t===null?0:typeof t=="string"?this.createString(t):t.pack(this)}createObjectOffsetList(t){const e=[];for(let n=0;n<t.length;++n){const i=t[n];if(i!==null)e.push(this.createObjectOffset(i));else throw new TypeError("FlatBuffers: Argument for createObjectOffsetList cannot contain null.")}return e}createStructOffsetList(t,e){return e(this,t.length),this.createObjectOffsetList(t.slice().reverse()),this.endVector()}};var du;(function(r){r[r.BUFFER=0]="BUFFER"})(du||(du={}));var fu;(function(r){r[r.LZ4_FRAME=0]="LZ4_FRAME",r[r.ZSTD=1]="ZSTD"})(fu||(fu={}));class Ii{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsBodyCompression(t,e){return(e||new Ii).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsBodyCompression(t,e){return t.setPosition(t.position()+_e),(e||new Ii).__init(t.readInt32(t.position())+t.position(),t)}codec(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt8(this.bb_pos+t):fu.LZ4_FRAME}method(){const t=this.bb.__offset(this.bb_pos,6);return t?this.bb.readInt8(this.bb_pos+t):du.BUFFER}static startBodyCompression(t){t.startObject(2)}static addCodec(t,e){t.addFieldInt8(0,e,fu.LZ4_FRAME)}static addMethod(t,e){t.addFieldInt8(1,e,du.BUFFER)}static endBodyCompression(t){return t.endObject()}static createBodyCompression(t,e,n){return Ii.startBodyCompression(t),Ii.addCodec(t,e),Ii.addMethod(t,n),Ii.endBodyCompression(t)}}let Vb=class{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}offset(){return this.bb.readInt64(this.bb_pos)}length(){return this.bb.readInt64(this.bb_pos+8)}static sizeOf(){return 16}static createBuffer(t,e,n){return t.prep(8,16),t.writeInt64(BigInt(n??0)),t.writeInt64(BigInt(e??0)),t.offset()}},jb=class{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}length(){return this.bb.readInt64(this.bb_pos)}nullCount(){return this.bb.readInt64(this.bb_pos+8)}static sizeOf(){return 16}static createFieldNode(t,e,n){return t.prep(8,16),t.writeInt64(BigInt(n??0)),t.writeInt64(BigInt(e??0)),t.offset()}},ri=class qd{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsRecordBatch(t,e){return(e||new qd).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsRecordBatch(t,e){return t.setPosition(t.position()+_e),(e||new qd).__init(t.readInt32(t.position())+t.position(),t)}length(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt64(this.bb_pos+t):BigInt("0")}nodes(t,e){const n=this.bb.__offset(this.bb_pos,6);return n?(e||new jb).__init(this.bb.__vector(this.bb_pos+n)+t*16,this.bb):null}nodesLength(){const t=this.bb.__offset(this.bb_pos,6);return t?this.bb.__vector_len(this.bb_pos+t):0}buffers(t,e){const n=this.bb.__offset(this.bb_pos,8);return n?(e||new Vb).__init(this.bb.__vector(this.bb_pos+n)+t*16,this.bb):null}buffersLength(){const t=this.bb.__offset(this.bb_pos,8);return t?this.bb.__vector_len(this.bb_pos+t):0}compression(t){const e=this.bb.__offset(this.bb_pos,10);return e?(t||new Ii).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}static startRecordBatch(t){t.startObject(4)}static addLength(t,e){t.addFieldInt64(0,e,BigInt("0"))}static addNodes(t,e){t.addFieldOffset(1,e,0)}static startNodesVector(t,e){t.startVector(16,e,8)}static addBuffers(t,e){t.addFieldOffset(2,e,0)}static startBuffersVector(t,e){t.startVector(16,e,8)}static addCompression(t,e){t.addFieldOffset(3,e,0)}static endRecordBatch(t){return t.endObject()}},Zs=class Qd{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDictionaryBatch(t,e){return(e||new Qd).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDictionaryBatch(t,e){return t.setPosition(t.position()+_e),(e||new Qd).__init(t.readInt32(t.position())+t.position(),t)}id(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt64(this.bb_pos+t):BigInt("0")}data(t){const e=this.bb.__offset(this.bb_pos,6);return e?(t||new ri).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}isDelta(){const t=this.bb.__offset(this.bb_pos,8);return t?!!this.bb.readInt8(this.bb_pos+t):!1}static startDictionaryBatch(t){t.startObject(3)}static addId(t,e){t.addFieldInt64(0,e,BigInt("0"))}static addData(t,e){t.addFieldOffset(1,e,0)}static addIsDelta(t,e){t.addFieldInt8(2,+e,0)}static endDictionaryBatch(t){return t.endObject()}};var Co;(function(r){r[r.Little=0]="Little",r[r.Big=1]="Big"})(Co||(Co={}));var pu;(function(r){r[r.DenseArray=0]="DenseArray"})(pu||(pu={}));class Cr{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsInt(t,e){return(e||new Cr).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsInt(t,e){return t.setPosition(t.position()+_e),(e||new Cr).__init(t.readInt32(t.position())+t.position(),t)}bitWidth(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt32(this.bb_pos+t):0}isSigned(){const t=this.bb.__offset(this.bb_pos,6);return t?!!this.bb.readInt8(this.bb_pos+t):!1}static startInt(t){t.startObject(2)}static addBitWidth(t,e){t.addFieldInt32(0,e,0)}static addIsSigned(t,e){t.addFieldInt8(1,+e,0)}static endInt(t){return t.endObject()}static createInt(t,e,n){return Cr.startInt(t),Cr.addBitWidth(t,e),Cr.addIsSigned(t,n),Cr.endInt(t)}}class ai{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDictionaryEncoding(t,e){return(e||new ai).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDictionaryEncoding(t,e){return t.setPosition(t.position()+_e),(e||new ai).__init(t.readInt32(t.position())+t.position(),t)}id(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt64(this.bb_pos+t):BigInt("0")}indexType(t){const e=this.bb.__offset(this.bb_pos,6);return e?(t||new Cr).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}isOrdered(){const t=this.bb.__offset(this.bb_pos,8);return t?!!this.bb.readInt8(this.bb_pos+t):!1}dictionaryKind(){const t=this.bb.__offset(this.bb_pos,10);return t?this.bb.readInt16(this.bb_pos+t):pu.DenseArray}static startDictionaryEncoding(t){t.startObject(4)}static addId(t,e){t.addFieldInt64(0,e,BigInt("0"))}static addIndexType(t,e){t.addFieldOffset(1,e,0)}static addIsOrdered(t,e){t.addFieldInt8(2,+e,0)}static addDictionaryKind(t,e){t.addFieldInt16(3,e,pu.DenseArray)}static endDictionaryEncoding(t){return t.endObject()}}class qe{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsKeyValue(t,e){return(e||new qe).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsKeyValue(t,e){return t.setPosition(t.position()+_e),(e||new qe).__init(t.readInt32(t.position())+t.position(),t)}key(t){const e=this.bb.__offset(this.bb_pos,4);return e?this.bb.__string(this.bb_pos+e,t):null}value(t){const e=this.bb.__offset(this.bb_pos,6);return e?this.bb.__string(this.bb_pos+e,t):null}static startKeyValue(t){t.startObject(2)}static addKey(t,e){t.addFieldOffset(0,e,0)}static addValue(t,e){t.addFieldOffset(1,e,0)}static endKeyValue(t){return t.endObject()}static createKeyValue(t,e,n){return qe.startKeyValue(t),qe.addKey(t,e),qe.addValue(t,n),qe.endKeyValue(t)}}let ey=class fa{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsBinary(t,e){return(e||new fa).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsBinary(t,e){return t.setPosition(t.position()+_e),(e||new fa).__init(t.readInt32(t.position())+t.position(),t)}static startBinary(t){t.startObject(0)}static endBinary(t){return t.endObject()}static createBinary(t){return fa.startBinary(t),fa.endBinary(t)}},ry=class pa{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsBool(t,e){return(e||new pa).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsBool(t,e){return t.setPosition(t.position()+_e),(e||new pa).__init(t.readInt32(t.position())+t.position(),t)}static startBool(t){t.startObject(0)}static endBool(t){return t.endObject()}static createBool(t){return pa.startBool(t),pa.endBool(t)}},Vl=class Ks{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDate(t,e){return(e||new Ks).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDate(t,e){return t.setPosition(t.position()+_e),(e||new Ks).__init(t.readInt32(t.position())+t.position(),t)}unit(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt16(this.bb_pos+t):nn.MILLISECOND}static startDate(t){t.startObject(1)}static addUnit(t,e){t.addFieldInt16(0,e,nn.MILLISECOND)}static endDate(t){return t.endObject()}static createDate(t,e){return Ks.startDate(t),Ks.addUnit(t,e),Ks.endDate(t)}},Js=class Si{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDecimal(t,e){return(e||new Si).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDecimal(t,e){return t.setPosition(t.position()+_e),(e||new Si).__init(t.readInt32(t.position())+t.position(),t)}precision(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt32(this.bb_pos+t):0}scale(){const t=this.bb.__offset(this.bb_pos,6);return t?this.bb.readInt32(this.bb_pos+t):0}bitWidth(){const t=this.bb.__offset(this.bb_pos,8);return t?this.bb.readInt32(this.bb_pos+t):128}static startDecimal(t){t.startObject(3)}static addPrecision(t,e){t.addFieldInt32(0,e,0)}static addScale(t,e){t.addFieldInt32(1,e,0)}static addBitWidth(t,e){t.addFieldInt32(2,e,128)}static endDecimal(t){return t.endObject()}static createDecimal(t,e,n,i){return Si.startDecimal(t),Si.addPrecision(t,e),Si.addScale(t,n),Si.addBitWidth(t,i),Si.endDecimal(t)}},jl=class to{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsDuration(t,e){return(e||new to).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsDuration(t,e){return t.setPosition(t.position()+_e),(e||new to).__init(t.readInt32(t.position())+t.position(),t)}unit(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt16(this.bb_pos+t):Vt.MILLISECOND}static startDuration(t){t.startObject(1)}static 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t?this.bb.readInt16(this.bb_pos+t):ar.HALF}static startFloatingPoint(t){t.startObject(1)}static addPrecision(t,e){t.addFieldInt16(0,e,ar.HALF)}static endFloatingPoint(t){return t.endObject()}static createFloatingPoint(t,e){return Rn.startFloatingPoint(t),Rn.addPrecision(t,e),Rn.endFloatingPoint(t)}}class Fn{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsInterval(t,e){return(e||new Fn).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsInterval(t,e){return t.setPosition(t.position()+_e),(e||new Fn).__init(t.readInt32(t.position())+t.position(),t)}unit(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt16(this.bb_pos+t):zn.YEAR_MONTH}static startInterval(t){t.startObject(1)}static addUnit(t,e){t.addFieldInt16(0,e,zn.YEAR_MONTH)}static endInterval(t){return t.endObject()}static createInterval(t,e){return Fn.startInterval(t),Fn.addUnit(t,e),Fn.endInterval(t)}}let ny=class 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e=="number"&&e!==k.NONE);for(const e of t){const n=xr.getVisitFnByTypeId(e),i=sn.getVisitFnByTypeId(e),s=Lu.getVisitFnByTypeId(e);mx[e]={get:n,set:i,indexOf:s},gx[e]=Object.create(r,{isValid:{value:Du(sp)},get:{value:Du(xr.getVisitFnByTypeId(e))},set:{value:hx(sn.getVisitFnByTypeId(e))},indexOf:{value:dx(Lu.getVisitFnByTypeId(e))}})}return"Vector"})(Ne.prototype);let fy=class yx extends Ne{constructor(t){super(t.data);const e=this.get,n=this.set,i=this.slice,s=new Array(this.length);Object.defineProperty(this,"get",{value(o){const a=s[o];if(a!==void 0)return a;const l=e.call(this,o);return s[o]=l,l}}),Object.defineProperty(this,"set",{value(o,a){n.call(this,o,a),s[o]=a}}),Object.defineProperty(this,"slice",{value:(o,a)=>new yx(i.call(this,o,a))}),Object.defineProperty(this,"isMemoized",{value:!0}),Object.defineProperty(this,"unmemoize",{value:()=>new Ne(this.data)}),Object.defineProperty(this,"memoize",{value:()=>this})}};class ef{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}offset(){return this.bb.readInt64(this.bb_pos)}metaDataLength(){return this.bb.readInt32(this.bb_pos+8)}bodyLength(){return this.bb.readInt64(this.bb_pos+16)}static sizeOf(){return 24}static createBlock(t,e,n,i){return t.prep(8,24),t.writeInt64(BigInt(i??0)),t.pad(4),t.writeInt32(n),t.writeInt64(BigInt(e??0)),t.offset()}}class Er{constructor(){this.bb=null,this.bb_pos=0}__init(t,e){return this.bb_pos=t,this.bb=e,this}static getRootAsFooter(t,e){return(e||new Er).__init(t.readInt32(t.position())+t.position(),t)}static getSizePrefixedRootAsFooter(t,e){return t.setPosition(t.position()+_e),(e||new Er).__init(t.readInt32(t.position())+t.position(),t)}version(){const t=this.bb.__offset(this.bb_pos,4);return t?this.bb.readInt16(this.bb_pos+t):je.V1}schema(t){const e=this.bb.__offset(this.bb_pos,6);return e?(t||new In).__init(this.bb.__indirect(this.bb_pos+e),this.bb):null}dictionaries(t,e){const n=this.bb.__offset(this.bb_pos,8);return n?(e||new ef).__init(this.bb.__vector(this.bb_pos+n)+t*24,this.bb):null}dictionariesLength(){const t=this.bb.__offset(this.bb_pos,8);return t?this.bb.__vector_len(this.bb_pos+t):0}recordBatches(t,e){const n=this.bb.__offset(this.bb_pos,10);return n?(e||new ef).__init(this.bb.__vector(this.bb_pos+n)+t*24,this.bb):null}recordBatchesLength(){const t=this.bb.__offset(this.bb_pos,10);return t?this.bb.__vector_len(this.bb_pos+t):0}customMetadata(t,e){const n=this.bb.__offset(this.bb_pos,12);return n?(e||new qe).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+n)+t*4),this.bb):null}customMetadataLength(){const t=this.bb.__offset(this.bb_pos,12);return t?this.bb.__vector_len(this.bb_pos+t):0}static startFooter(t){t.startObject(5)}static addVersion(t,e){t.addFieldInt16(0,e,je.V1)}static addSchema(t,e){t.addFieldOffset(1,e,0)}static addDictionaries(t,e){t.addFieldOffset(2,e,0)}static startDictionariesVector(t,e){t.startVector(24,e,8)}static addRecordBatches(t,e){t.addFieldOffset(3,e,0)}static startRecordBatchesVector(t,e){t.startVector(24,e,8)}static addCustomMetadata(t,e){t.addFieldOffset(4,e,0)}static createCustomMetadataVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startCustomMetadataVector(t,e){t.startVector(4,e,4)}static endFooter(t){return t.endObject()}static finishFooterBuffer(t,e){t.finish(e)}static finishSizePrefixedFooterBuffer(t,e){t.finish(e,void 0,!0)}}let Le=class us{constructor(t=[],e,n,i=je.V5){this.fields=t||[],this.metadata=e||new Map,n||(n=rf(this.fields)),this.dictionaries=n,this.metadataVersion=i}get[Symbol.toStringTag](){return"Schema"}get names(){return this.fields.map(t=>t.name)}toString(){return`Schema<{ ${this.fields.map((t,e)=>`${e}: ${t}`).join(", ")} }>`}select(t){const e=new Set(t),n=this.fields.filter(i=>e.has(i.name));return new us(n,this.metadata)}selectAt(t){const e=t.map(n=>this.fields[n]).filter(Boolean);return new us(e,this.metadata)}assign(...t){const e=t[0]instanceof us?t[0]:Array.isArray(t[0])?new us(t[0]):new us(t),n=[...this.fields],i=Ll(Ll(new Map,this.metadata),e.metadata),s=e.fields.filter(a=>{const l=n.findIndex(u=>u.name===a.name);return~l?(n[l]=a.clone({metadata:Ll(Ll(new Map,n[l].metadata),a.metadata)}))&&!1:!0}),o=rf(s,new Map);return new us([...n,...s],i,new Map([...this.dictionaries,...o]))}};Le.prototype.fields=null;Le.prototype.metadata=null;Le.prototype.dictionaries=null;class Pe{static new(...t){let[e,n,i,s]=t;return t[0]&&typeof t[0]=="object"&&({name:e}=t[0],n===void 0&&(n=t[0].type),i===void 0&&(i=t[0].nullable),s===void 0&&(s=t[0].metadata)),new Pe(`${e}`,n,i,s)}constructor(t,e,n=!1,i){this.name=t,this.type=e,this.nullable=n,this.metadata=i||new Map}get typeId(){return this.type.typeId}get[Symbol.toStringTag](){return"Field"}toString(){return`${this.name}: ${this.type}`}clone(...t){let[e,n,i,s]=t;return!t[0]||typeof t[0]!="object"?[e=this.name,n=this.type,i=this.nullable,s=this.metadata]=t:{name:e=this.name,type:n=this.type,nullable:i=this.nullable,metadata:s=this.metadata}=t[0],Pe.new(e,n,i,s)}}Pe.prototype.type=null;Pe.prototype.name=null;Pe.prototype.nullable=null;Pe.prototype.metadata=null;function Ll(r,t){return new Map([...r||new Map,...t||new Map])}function rf(r,t=new Map){for(let e=-1,n=r.length;++e<n;){const s=r[e].type;if(Ot.isDictionary(s)){if(!t.has(s.id))t.set(s.id,s.dictionary);else if(t.get(s.id)!==s.dictionary)throw new Error("Cannot create Schema containing two different dictionaries with the same Id")}s.children&&s.children.length>0&&rf(s.children,t)}return t}var m2=kb,g2=Mo;class Va{static decode(t){t=new g2(ce(t));const e=Er.getRootAsFooter(t),n=Le.decode(e.schema(),new Map,e.version());return new y2(n,e)}static encode(t){const e=new m2,n=Le.encode(e,t.schema);Er.startRecordBatchesVector(e,t.numRecordBatches);for(const o of[...t.recordBatches()].slice().reverse())Fi.encode(e,o);const i=e.endVector();Er.startDictionariesVector(e,t.numDictionaries);for(const o of[...t.dictionaryBatches()].slice().reverse())Fi.encode(e,o);const s=e.endVector();return Er.startFooter(e),Er.addSchema(e,n),Er.addVersion(e,je.V5),Er.addRecordBatches(e,i),Er.addDictionaries(e,s),Er.finishFooterBuffer(e,Er.endFooter(e)),e.asUint8Array()}get numRecordBatches(){return this._recordBatches.length}get numDictionaries(){return this._dictionaryBatches.length}constructor(t,e=je.V5,n,i){this.schema=t,this.version=e,n&&(this._recordBatches=n),i&&(this._dictionaryBatches=i)}*recordBatches(){for(let t,e=-1,n=this.numRecordBatches;++e<n;)(t=this.getRecordBatch(e))&&(yield t)}*dictionaryBatches(){for(let t,e=-1,n=this.numDictionaries;++e<n;)(t=this.getDictionaryBatch(e))&&(yield t)}getRecordBatch(t){return t>=0&&t<this.numRecordBatches&&this._recordBatches[t]||null}getDictionaryBatch(t){return t>=0&&t<this.numDictionaries&&this._dictionaryBatches[t]||null}}class y2 extends Va{get numRecordBatches(){return this._footer.recordBatchesLength()}get numDictionaries(){return this._footer.dictionariesLength()}constructor(t,e){super(t,e.version()),this._footer=e}getRecordBatch(t){if(t>=0&&t<this.numRecordBatches){const e=this._footer.recordBatches(t);if(e)return Fi.decode(e)}return null}getDictionaryBatch(t){if(t>=0&&t<this.numDictionaries){const e=this._footer.dictionaries(t);if(e)return Fi.decode(e)}return null}}class Fi{static decode(t){return new Fi(t.metaDataLength(),t.bodyLength(),t.offset())}static encode(t,e){const{metaDataLength:n}=e,i=BigInt(e.offset),s=BigInt(e.bodyLength);return ef.createBlock(t,i,n,s)}constructor(t,e,n){this.metaDataLength=t,this.offset=Te(n),this.bodyLength=Te(e)}}const Be=Object.freeze({done:!0,value:void 0});class py{constructor(t){this._json=t}get schema(){return this._json.schema}get batches(){return this._json.batches||[]}get dictionaries(){return this._json.dictionaries||[]}}class ap{tee(){return this._getDOMStream().tee()}pipe(t,e){return this._getNodeStream().pipe(t,e)}pipeTo(t,e){return this._getDOMStream().pipeTo(t,e)}pipeThrough(t,e){return this._getDOMStream().pipeThrough(t,e)}_getDOMStream(){return this._DOMStream||(this._DOMStream=this.toDOMStream())}_getNodeStream(){return this._nodeStream||(this._nodeStream=this.toNodeStream())}}class v2 extends ap{constructor(){super(),this._values=[],this.resolvers=[],this._closedPromise=new Promise(t=>this._closedPromiseResolve=t)}get closed(){return this._closedPromise}cancel(t){return Jt(this,void 0,void 0,function*(){yield this.return(t)})}write(t){this._ensureOpen()&&(this.resolvers.length<=0?this._values.push(t):this.resolvers.shift().resolve({done:!1,value:t}))}abort(t){this._closedPromiseResolve&&(this.resolvers.length<=0?this._error={error:t}:this.resolvers.shift().reject({done:!0,value:t}))}close(){if(this._closedPromiseResolve){const{resolvers:t}=this;for(;t.length>0;)t.shift().resolve(Be);this._closedPromiseResolve(),this._closedPromiseResolve=void 0}}[Symbol.asyncIterator](){return this}toDOMStream(t){return Yr.toDOMStream(this._closedPromiseResolve||this._error?this:this._values,t)}toNodeStream(t){return Yr.toNodeStream(this._closedPromiseResolve||this._error?this:this._values,t)}throw(t){return Jt(this,void 0,void 0,function*(){return yield this.abort(t),Be})}return(t){return Jt(this,void 0,void 0,function*(){return yield this.close(),Be})}read(t){return Jt(this,void 0,void 0,function*(){return(yield this.next(t,"read")).value})}peek(t){return Jt(this,void 0,void 0,function*(){return(yield this.next(t,"peek")).value})}next(...t){return this._values.length>0?Promise.resolve({done:!1,value:this._values.shift()}):this._error?Promise.reject({done:!0,value:this._error.error}):this._closedPromiseResolve?new Promise((e,n)=>{this.resolvers.push({resolve:e,reject:n})}):Promise.resolve(Be)}_ensureOpen(){if(this._closedPromiseResolve)return!0;throw new Error("AsyncQueue is closed")}}class Xl extends v2{write(t){if((t=ce(t)).byteLength>0)return super.write(t)}toString(t=!1){return t?Wd(this.toUint8Array(!0)):this.toUint8Array(!1).then(Wd)}toUint8Array(t=!1){return t?kn(this._values)[0]:Jt(this,void 0,void 0,function*(){var e,n,i,s;const o=[];let a=0;try{for(var l=!0,u=Bn(this),c;c=yield u.next(),e=c.done,!e;l=!0){s=c.value,l=!1;const h=s;o.push(h),a+=h.byteLength}}catch(h){n={error:h}}finally{try{!l&&!e&&(i=u.return)&&(yield i.call(u))}finally{if(n)throw n.error}}return kn(o,a)[0]})}}class Nu{constructor(t){t&&(this.source=new _2(Yr.fromIterable(t)))}[Symbol.iterator](){return this}next(t){return this.source.next(t)}throw(t){return this.source.throw(t)}return(t){return this.source.return(t)}peek(t){return this.source.peek(t)}read(t){return this.source.read(t)}}class Po{constructor(t){t instanceof Po?this.source=t.source:t instanceof Xl?this.source=new ts(Yr.fromAsyncIterable(t)):Lb(t)?this.source=new ts(Yr.fromNodeStream(t)):Zf(t)?this.source=new ts(Yr.fromDOMStream(t)):Db(t)?this.source=new ts(Yr.fromDOMStream(t.body)):Qa(t)?this.source=new ts(Yr.fromIterable(t)):Is(t)?this.source=new ts(Yr.fromAsyncIterable(t)):Uo(t)&&(this.source=new ts(Yr.fromAsyncIterable(t)))}[Symbol.asyncIterator](){return this}next(t){return this.source.next(t)}throw(t){return this.source.throw(t)}return(t){return this.source.return(t)}get closed(){return this.source.closed}cancel(t){return this.source.cancel(t)}peek(t){return this.source.peek(t)}read(t){return this.source.read(t)}}class _2{constructor(t){this.source=t}cancel(t){this.return(t)}peek(t){return 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le({type:t,length:e,nullCount:n,nullBitmap:this.readNullBitmap(t,n),child:this.visit(t.children[0])})}visitMap(t,{length:e,nullCount:n}=this.nextFieldNode()){return le({type:t,length:e,nullCount:n,nullBitmap:this.readNullBitmap(t,n),valueOffsets:this.readOffsets(t),child:this.visit(t.children[0])})}nextFieldNode(){return this.nodes[++this.nodesIndex]}nextBufferRange(){return this.buffers[++this.buffersIndex]}readNullBitmap(t,e,n=this.nextBufferRange()){return e>0&&this.readData(t,n)||new Uint8Array(0)}readOffsets(t,e){return this.readData(t,e)}readTypeIds(t,e){return this.readData(t,e)}readData(t,{length:e,offset:n}=this.nextBufferRange()){return this.bytes.subarray(n,n+e)}readDictionary(t){return this.dictionaries.get(t.id)}}class x2 extends _x{constructor(t,e,n,i,s){super(new Uint8Array(0),e,n,i,s),this.sources=t}readNullBitmap(t,e,{offset:n}=this.nextBufferRange()){return e<=0?new Uint8Array(0):Fu(this.sources[n])}readOffsets(t,{offset:e}=this.nextBufferRange()){return 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r===t||mr(r,t)&&r.children.length===t.children.length&&Di.compareManyFields(r.children,t.children)}function cp(r,t){return r===t||mr(r,t)&&r.mode===t.mode&&r.typeIds.every((e,n)=>e===t.typeIds[n])&&Di.compareManyFields(r.children,t.children)}function A2(r,t){return r===t||mr(r,t)&&r.id===t.id&&r.isOrdered===t.isOrdered&&Di.visit(r.indices,t.indices)&&Di.visit(r.dictionary,t.dictionary)}function hp(r,t){return r===t||mr(r,t)&&r.unit===t.unit}function Ja(r,t){return r===t||mr(r,t)&&r.unit===t.unit}function M2(r,t){return r===t||mr(r,t)&&r.listSize===t.listSize&&r.children.length===t.children.length&&Di.compareManyFields(r.children,t.children)}function C2(r,t){return 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ba(e,i)}};wx=Symbol.toStringTag;_r[wx]=(r=>(r._nullCount=-1,r[Symbol.isConcatSpreadable]=!0,"RecordBatch"))(_r.prototype);function gy(r,t,e=t.reduce((n,i)=>Math.max(n,i.length),0)){var n;const i=[...r.fields],s=[...t],o=(e+63&-64)>>3;for(const[a,l]of r.fields.entries()){const u=t[a];(!u||u.length!==e)&&(i[a]=l.clone({nullable:!0}),s[a]=(n=u==null?void 0:u._changeLengthAndBackfillNullBitmap(e))!==null&&n!==void 0?n:le({type:l.type,length:e,nullCount:e,nullBitmap:new Uint8Array(o)}))}return[r.assign(i),le({type:new dr(i),length:e,children:s})]}function xx(r,t,e=new Map){var n,i;if(((n=r==null?void 0:r.length)!==null&&n!==void 0?n:0)>0&&(r==null?void 0:r.length)===(t==null?void 0:t.length))for(let s=-1,o=r.length;++s<o;){const{type:a}=r[s],l=t[s];for(const u of[l,...((i=l==null?void 0:l.dictionary)===null||i===void 0?void 0:i.data)||[]])xx(a.children,u==null?void 0:u.children,e);if(Ot.isDictionary(a)){const{id:u}=a;if(!e.has(u))l!=null&&l.dictionary&&e.set(u,l.dictionary);else 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t?this.bb.readInt64(this.bb_pos+t):BigInt("0")}customMetadata(t,e){const n=this.bb.__offset(this.bb_pos,12);return n?(e||new qe).__init(this.bb.__indirect(this.bb.__vector(this.bb_pos+n)+t*4),this.bb):null}customMetadataLength(){const t=this.bb.__offset(this.bb_pos,12);return t?this.bb.__vector_len(this.bb_pos+t):0}static startMessage(t){t.startObject(5)}static addVersion(t,e){t.addFieldInt16(0,e,je.V1)}static addHeaderType(t,e){t.addFieldInt8(1,e,me.NONE)}static addHeader(t,e){t.addFieldOffset(2,e,0)}static addBodyLength(t,e){t.addFieldInt64(3,e,BigInt("0"))}static addCustomMetadata(t,e){t.addFieldOffset(4,e,0)}static createCustomMetadataVector(t,e){t.startVector(4,e.length,4);for(let n=e.length-1;n>=0;n--)t.addOffset(e[n]);return t.endVector()}static startCustomMetadataVector(t,e){t.startVector(4,e,4)}static endMessage(t){return t.endObject()}static finishMessageBuffer(t,e){t.finish(e)}static finishSizePrefixedMessageBuffer(t,e){t.finish(e,void 0,!0)}static createMessage(t,e,n,i,s,o){return Sn.startMessage(t),Sn.addVersion(t,e),Sn.addHeaderType(t,n),Sn.addHeader(t,i),Sn.addBodyLength(t,s),Sn.addCustomMetadata(t,o),Sn.endMessage(t)}};class R2 extends se{visit(t,e){return t==null||e==null?void 0:super.visit(t,e)}visitNull(t,e){return oy.startNull(e),oy.endNull(e)}visitInt(t,e){return Cr.startInt(e),Cr.addBitWidth(e,t.bitWidth),Cr.addIsSigned(e,t.isSigned),Cr.endInt(e)}visitFloat(t,e){return Rn.startFloatingPoint(e),Rn.addPrecision(e,t.precision),Rn.endFloatingPoint(e)}visitBinary(t,e){return ey.startBinary(e),ey.endBinary(e)}visitLargeBinary(t,e){return ny.startLargeBinary(e),ny.endLargeBinary(e)}visitBool(t,e){return ry.startBool(e),ry.endBool(e)}visitUtf8(t,e){return ay.startUtf8(e),ay.endUtf8(e)}visitLargeUtf8(t,e){return iy.startLargeUtf8(e),iy.endLargeUtf8(e)}visitDecimal(t,e){return Js.startDecimal(e),Js.addScale(e,t.scale),Js.addPrecision(e,t.precision),Js.addBitWidth(e,t.bitWidth),Js.endDecimal(e)}visitDate(t,e){return 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Pe(r.name(),o,r.nullable(),ql(r))):(s=(s=a.indexType())?wy(s):new za,t.set(e,i=xy(r,by(r,t))),o=new Oo(i,s,e,a.isOrdered()),n=new Pe(r.name(),o,r.nullable(),ql(r))),n||null}function ql(r){const t=new Map;if(r)for(let e,n,i=-1,s=Math.trunc(r.customMetadataLength());++i<s;)(e=r.customMetadata(i))&&(n=e.key())!=null&&t.set(n,e.value());return t}function wy(r){return new Es(r.isSigned(),r.bitWidth())}function xy(r,t){const e=r.typeType();switch(e){case Ee.NONE:return new Ri;case Ee.Null:return new Ri;case Ee.Binary:return new gu;case Ee.LargeBinary:return new yu;case Ee.Utf8:return new vu;case Ee.LargeUtf8:return new _u;case Ee.Bool:return new bu;case Ee.List:return new Au((t||[])[0]);case Ee.Struct_:return new dr(t||[])}switch(e){case Ee.Int:{const n=r.type(new Cr);return new Es(n.isSigned(),n.bitWidth())}case Ee.FloatingPoint:{const n=r.type(new Rn);return new mu(n.precision())}case Ee.Decimal:{const n=r.type(new Js);return new wu(n.scale(),n.precision(),n.bitWidth())}case Ee.Date:{const n=r.type(new Vl);return new xu(n.unit())}case Ee.Time:{const n=r.type(new Zr);return new Su(n.unit(),n.bitWidth())}case Ee.Timestamp:{const n=r.type(new Kr);return new Tu(n.unit(),n.timezone())}case Ee.Interval:{const n=r.type(new Fn);return new Iu(n.unit())}case Ee.Duration:{const n=r.type(new jl);return new Eu(n.unit())}case Ee.Union:{const n=r.type(new vr);return new Mu(n.mode(),n.typeIdsArray()||[],t||[])}case Ee.FixedSizeBinary:{const n=r.type(new $l);return new Cu(n.byteWidth())}case Ee.FixedSizeList:{const n=r.type(new Gl);return new Ou(n.listSize(),(t||[])[0])}case Ee.Map:{const n=r.type(new Wl);return new Pu((t||[])[0],n.keysSorted())}}throw new Error(`Unrecognized type: "${Ee[e]}" (${e})`)}function Z2(r,t){const e=t.fields.map(s=>Pe.encode(r,s));In.startFieldsVector(r,e.length);const n=In.createFieldsVector(r,e),i=t.metadata&&t.metadata.size>0?In.createCustomMetadataVector(r,[...t.metadata].map(([s,o])=>{const a=r.createString(`${s}`),l=r.createString(`${o}`);return qe.startKeyValue(r),qe.addKey(r,a),qe.addValue(r,l),qe.endKeyValue(r)})):-1;return In.startSchema(r),In.addFields(r,n),In.addEndianness(r,nD?Co.Little:Co.Big),i!==-1&&In.addCustomMetadata(r,i),In.endSchema(r)}function K2(r,t){let e=-1,n=-1,i=-1;const s=t.type;let o=t.typeId;Ot.isDictionary(s)?(o=s.dictionary.typeId,i=Rh.visit(s,r),n=Rh.visit(s.dictionary,r)):n=Rh.visit(s,r);const a=(s.children||[]).map(c=>Pe.encode(r,c)),l=Wr.createChildrenVector(r,a),u=t.metadata&&t.metadata.size>0?Wr.createCustomMetadataVector(r,[...t.metadata].map(([c,h])=>{const f=r.createString(`${c}`),d=r.createString(`${h}`);return qe.startKeyValue(r),qe.addKey(r,f),qe.addValue(r,d),qe.endKeyValue(r)})):-1;return t.name&&(e=r.createString(t.name)),Wr.startField(r),Wr.addType(r,n),Wr.addTypeType(r,o),Wr.addChildren(r,l),Wr.addNullable(r,!!t.nullable),e!==-1&&Wr.addName(r,e),i!==-1&&Wr.addDictionary(r,i),u!==-1&&Wr.addCustomMetadata(r,u),Wr.endField(r)}function J2(r,t){const e=t.nodes||[],n=t.buffers||[];ri.startNodesVector(r,e.length);for(const o of e.slice().reverse())Ni.encode(r,o);const i=r.endVector();ri.startBuffersVector(r,n.length);for(const o of n.slice().reverse())Ln.encode(r,o);const s=r.endVector();return ri.startRecordBatch(r),ri.addLength(r,BigInt(t.length)),ri.addNodes(r,i),ri.addBuffers(r,s),ri.endRecordBatch(r)}function tD(r,t){const e=Br.encode(r,t.data);return Zs.startDictionaryBatch(r),Zs.addId(r,BigInt(t.id)),Zs.addIsDelta(r,t.isDelta),Zs.addData(r,e),Zs.endDictionaryBatch(r)}function eD(r,t){return jb.createFieldNode(r,BigInt(t.length),BigInt(t.nullCount))}function rD(r,t){return Vb.createBuffer(r,BigInt(t.offset),BigInt(t.length))}const nD=(()=>{const r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256})(),fp=r=>`Expected ${me[r]} Message in stream, but was null or length 0.`,pp=r=>`Header pointer of flatbuffer-encoded ${me[r]} Message is null or length 0.`,Ex=(r,t)=>`Expected to read ${r} metadata bytes, but only read ${t}.`,Ax=(r,t)=>`Expected to read ${r} bytes for message body, but only read ${t}.`;class Mx{constructor(t){this.source=t instanceof Nu?t:new Nu(t)}[Symbol.iterator](){return this}next(){let t;return(t=this.readMetadataLength()).done||t.value===-1&&(t=this.readMetadataLength()).done||(t=this.readMetadata(t.value)).done?Be:t}throw(t){return this.source.throw(t)}return(t){return this.source.return(t)}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readMessageBody(t){if(t<=0)return new Uint8Array(0);const e=ce(this.source.read(t));if(e.byteLength<t)throw new Error(Ax(t,e.byteLength));return e.byteOffset%8===0&&e.byteOffset+e.byteLength<=e.buffer.byteLength?e:e.slice()}readSchema(t=!1){const e=me.Schema,n=this.readMessage(e),i=n==null?void 0:n.header();if(t&&!i)throw new Error(pp(e));return i}readMetadataLength(){const t=this.source.read(uc),e=t&&new Mo(t),n=(e==null?void 0:e.readInt32(0))||0;return{done:n===0,value:n}}readMetadata(t){const e=this.source.read(t);if(!e)return Be;if(e.byteLength<t)throw new Error(Ex(t,e.byteLength));return{done:!1,value:fr.decode(e)}}}class iD{constructor(t,e){this.source=t instanceof Po?t:Fb(t)?new Bu(t,e):new Po(t)}[Symbol.asyncIterator](){return this}next(){return Jt(this,void 0,void 0,function*(){let t;return(t=yield this.readMetadataLength()).done||t.value===-1&&(t=yield this.readMetadataLength()).done||(t=yield this.readMetadata(t.value)).done?Be:t})}throw(t){return Jt(this,void 0,void 0,function*(){return yield this.source.throw(t)})}return(t){return Jt(this,void 0,void 0,function*(){return yield this.source.return(t)})}readMessage(t){return Jt(this,void 0,void 0,function*(){let e;if((e=yield this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value})}readMessageBody(t){return Jt(this,void 0,void 0,function*(){if(t<=0)return new Uint8Array(0);const e=ce(yield this.source.read(t));if(e.byteLength<t)throw new Error(Ax(t,e.byteLength));return e.byteOffset%8===0&&e.byteOffset+e.byteLength<=e.buffer.byteLength?e:e.slice()})}readSchema(){return Jt(this,arguments,void 0,function*(t=!1){const e=me.Schema,n=yield this.readMessage(e),i=n==null?void 0:n.header();if(t&&!i)throw new Error(pp(e));return i})}readMetadataLength(){return Jt(this,void 0,void 0,function*(){const t=yield this.source.read(uc),e=t&&new Mo(t),n=(e==null?void 0:e.readInt32(0))||0;return{done:n===0,value:n}})}readMetadata(t){return Jt(this,void 0,void 0,function*(){const e=yield this.source.read(t);if(!e)return Be;if(e.byteLength<t)throw new Error(Ex(t,e.byteLength));return{done:!1,value:fr.decode(e)}})}}class sD extends Mx{constructor(t){super(new Uint8Array(0)),this._schema=!1,this._body=[],this._batchIndex=0,this._dictionaryIndex=0,this._json=t instanceof py?t:new py(t)}next(){const{_json:t}=this;if(!this._schema)return this._schema=!0,{done:!1,value:fr.fromJSON(t.schema,me.Schema)};if(this._dictionaryIndex<t.dictionaries.length){const e=t.dictionaries[this._dictionaryIndex++];return this._body=e.data.columns,{done:!1,value:fr.fromJSON(e,me.DictionaryBatch)}}if(this._batchIndex<t.batches.length){const e=t.batches[this._batchIndex++];return this._body=e.columns,{done:!1,value:fr.fromJSON(e,me.RecordBatch)}}return this._body=[],Be}readMessageBody(t){return e(this._body);function e(n){return(n||[]).reduce((i,s)=>[...i,...s.VALIDITY&&[s.VALIDITY]||[],...s.TYPE_ID&&[s.TYPE_ID]||[],...s.OFFSET&&[s.OFFSET]||[],...s.DATA&&[s.DATA]||[],...e(s.children)],[])}}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readSchema(){const t=me.Schema,e=this.readMessage(t),n=e==null?void 0:e.header();if(!e||!n)throw new Error(pp(t));return n}}const uc=4,sf="ARROW1",ja=new Uint8Array(sf.length);for(let r=0;r<sf.length;r+=1)ja[r]=sf.codePointAt(r);function mp(r,t=0){for(let e=-1,n=ja.length;++e<n;)if(ja[e]!==r[t+e])return!1;return!0}const tl=ja.length,Cx=tl+uc,oD=tl*2+uc;class tn extends ap{constructor(t){super(),this._impl=t}get closed(){return this._impl.closed}get schema(){return this._impl.schema}get autoDestroy(){return this._impl.autoDestroy}get dictionaries(){return this._impl.dictionaries}get numDictionaries(){return this._impl.numDictionaries}get numRecordBatches(){return this._impl.numRecordBatches}get footer(){return this._impl.isFile()?this._impl.footer:null}isSync(){return this._impl.isSync()}isAsync(){return this._impl.isAsync()}isFile(){return this._impl.isFile()}isStream(){return this._impl.isStream()}next(){return this._impl.next()}throw(t){return this._impl.throw(t)}return(t){return this._impl.return(t)}cancel(){return this._impl.cancel()}reset(t){return this._impl.reset(t),this._DOMStream=void 0,this._nodeStream=void 0,this}open(t){const e=this._impl.open(t);return Is(e)?e.then(()=>this):this}readRecordBatch(t){return this._impl.isFile()?this._impl.readRecordBatch(t):null}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}toDOMStream(){return Yr.toDOMStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this})}toNodeStream(){return Yr.toNodeStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this},{objectMode:!0})}static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}static from(t){return t instanceof tn?t:Hd(t)?cD(t):Fb(t)?fD(t):Is(t)?Jt(this,void 0,void 0,function*(){return yield tn.from(yield t)}):Db(t)||Zf(t)||Lb(t)||Uo(t)?dD(new Po(t)):hD(new Nu(t))}static readAll(t){return t instanceof tn?t.isSync()?Sy(t):Ty(t):Hd(t)||ArrayBuffer.isView(t)||Qa(t)||Rb(t)?Sy(t):Ty(t)}}class Uu extends tn{constructor(t){super(t),this._impl=t}readAll(){return[...this]}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return br(this,arguments,function*(){yield Rt(yield*Ss(Bn(this[Symbol.iterator]())))})}}class ku extends tn{constructor(t){super(t),this._impl=t}readAll(){return Jt(this,void 0,void 0,function*(){var t,e,n,i;const s=new Array;try{for(var o=!0,a=Bn(this),l;l=yield a.next(),t=l.done,!t;o=!0){i=l.value,o=!1;const u=i;s.push(u)}}catch(u){e={error:u}}finally{try{!o&&!t&&(n=a.return)&&(yield n.call(a))}finally{if(e)throw e.error}}return s})}[Symbol.iterator](){throw new Error("AsyncRecordBatchStreamReader is not Iterable")}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}}class Ox extends Uu{constructor(t){super(t),this._impl=t}}class aD extends ku{constructor(t){super(t),this._impl=t}}class Px{get numDictionaries(){return this._dictionaryIndex}get numRecordBatches(){return this._recordBatchIndex}constructor(t=new Map){this.closed=!1,this.autoDestroy=!0,this._dictionaryIndex=0,this._recordBatchIndex=0,this.dictionaries=t}isSync(){return!1}isAsync(){return!1}isFile(){return!1}isStream(){return!1}reset(t){return this._dictionaryIndex=0,this._recordBatchIndex=0,this.schema=t,this.dictionaries=new Map,this}_loadRecordBatch(t,e){const n=this._loadVectors(t,e,this.schema.fields),i=le({type:new dr(this.schema.fields),length:t.length,children:n});return new _r(this.schema,i)}_loadDictionaryBatch(t,e){const{id:n,isDelta:i}=t,{dictionaries:s,schema:o}=this,a=s.get(n),l=o.dictionaries.get(n),u=this._loadVectors(t.data,e,[l]);return(a&&i?a.concat(new Ne(u)):new Ne(u)).memoize()}_loadVectors(t,e,n){return new _x(e,t.nodes,t.buffers,this.dictionaries,this.schema.metadataVersion).visitMany(n)}}class zu extends Px{constructor(t,e){super(e),this._reader=Hd(t)?new sD(this._handle=t):new Mx(this._handle=t)}isSync(){return!0}isStream(){return!0}[Symbol.iterator](){return this}cancel(){!this.closed&&(this.closed=!0)&&(this.reset()._reader.return(),this._reader=null,this.dictionaries=null)}open(t){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=this._reader.readSchema())||this.cancel()),this}throw(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.throw(t):Be}return(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.return(t):Be}next(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=this._readNextMessageAndValidate();)if(t.isSchema())this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):this.return()}_readNextMessageAndValidate(t){return this._reader.readMessage(t)}}class Vu extends Px{constructor(t,e){super(e),this._reader=new iD(this._handle=t)}isAsync(){return!0}isStream(){return!0}[Symbol.asyncIterator](){return this}cancel(){return Jt(this,void 0,void 0,function*(){!this.closed&&(this.closed=!0)&&(yield this.reset()._reader.return(),this._reader=null,this.dictionaries=null)})}open(t){return Jt(this,void 0,void 0,function*(){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=yield this._reader.readSchema())||(yield this.cancel())),this})}throw(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.throw(t):Be})}return(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.return(t):Be})}next(){return Jt(this,void 0,void 0,function*(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=yield this._readNextMessageAndValidate();)if(t.isSchema())yield this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):yield this.return()})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){return yield this._reader.readMessage(t)})}}class Rx extends zu{get footer(){return this._footer}get numDictionaries(){return this._footer?this._footer.numDictionaries:0}get numRecordBatches(){return this._footer?this._footer.numRecordBatches:0}constructor(t,e){super(t instanceof my?t:new my(t),e)}isSync(){return!0}isFile(){return!0}open(t){if(!this.closed&&!this._footer){this.schema=(this._footer=this._readFooter()).schema;for(const e of this._footer.dictionaryBatches())e&&this._readDictionaryBatch(this._dictionaryIndex++)}return super.open(t)}readRecordBatch(t){var e;if(this.closed)return null;this._footer||this.open();const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null}_readDictionaryBatch(t){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}}_readFooter(){const{_handle:t}=this,e=t.size-Cx,n=t.readInt32(e),i=t.readAt(e-n,n);return Va.decode(i)}_readNextMessageAndValidate(t){var e;if(this._footer||this.open(),this._footer&&this._recordBatchIndex<this.numRecordBatches){const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(this._recordBatchIndex);if(n&&this._handle.seek(n.offset))return this._reader.readMessage(t)}return null}}class lD extends Vu{get footer(){return this._footer}get numDictionaries(){return this._footer?this._footer.numDictionaries:0}get numRecordBatches(){return this._footer?this._footer.numRecordBatches:0}constructor(t,...e){const n=typeof e[0]!="number"?e.shift():void 0,i=e[0]instanceof Map?e.shift():void 0;super(t instanceof Bu?t:new Bu(t,n),i)}isFile(){return!0}isAsync(){return!0}open(t){const e=Object.create(null,{open:{get:()=>super.open}});return Jt(this,void 0,void 0,function*(){if(!this.closed&&!this._footer){this.schema=(this._footer=yield this._readFooter()).schema;for(const n of this._footer.dictionaryBatches())n&&(yield this._readDictionaryBatch(this._dictionaryIndex++))}return yield e.open.call(this,t)})}readRecordBatch(t){return Jt(this,void 0,void 0,function*(){var e;if(this.closed)return null;this._footer||(yield this.open());const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null})}_readDictionaryBatch(t){return Jt(this,void 0,void 0,function*(){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}})}_readFooter(){return Jt(this,void 0,void 0,function*(){const{_handle:t}=this;t._pending&&(yield t._pending);const e=t.size-Cx,n=yield t.readInt32(e),i=yield t.readAt(e-n,n);return Va.decode(i)})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){if(this._footer||(yield this.open()),this._footer&&this._recordBatchIndex<this.numRecordBatches){const e=this._footer.getRecordBatch(this._recordBatchIndex);if(e&&(yield this._handle.seek(e.offset)))return yield this._reader.readMessage(t)}return null})}}class uD extends zu{constructor(t,e){super(t,e)}_loadVectors(t,e,n){return new x2(e,t.nodes,t.buffers,this.dictionaries,this.schema.metadataVersion).visitMany(n)}}function Fx(r,t){return t&&typeof t.autoDestroy=="boolean"?t.autoDestroy:r.autoDestroy}function*Sy(r){const t=tn.from(r);try{if(!t.open({autoDestroy:!1}).closed)do yield t;while(!t.reset().open().closed)}finally{t.cancel()}}function Ty(r){return br(this,arguments,function*(){const e=yield Rt(tn.from(r));try{if(!(yield Rt(e.open({autoDestroy:!1}))).closed)do yield yield Rt(e);while(!(yield Rt(e.reset().open())).closed)}finally{yield Rt(e.cancel())}})}function cD(r){return new Uu(new uD(r))}function hD(r){const t=r.peek(tl+7&-8);return t&&t.byteLength>=4?mp(t)?new Ox(new Rx(r.read())):new Uu(new zu(r)):new Uu(new zu(function*(){}()))}function dD(r){return Jt(this,void 0,void 0,function*(){const t=yield r.peek(tl+7&-8);return t&&t.byteLength>=4?mp(t)?new Ox(new Rx(yield r.read())):new ku(new Vu(r)):new ku(new Vu(function(){return br(this,arguments,function*(){})}()))})}function fD(r){return Jt(this,void 0,void 0,function*(){const{size:t}=yield r.stat(),e=new Bu(r,t);return t>=oD&&mp(yield e.readAt(0,tl+7&-8))?new aD(new lD(e)):new ku(new Vu(e))})}class ke extends se{static assemble(...t){const e=i=>i.flatMap(s=>Array.isArray(s)?e(s):s instanceof _r?s.data.children:s.data),n=new ke;return n.visitMany(e(t)),n}constructor(){super(),this._byteLength=0,this._nodes=[],this._buffers=[],this._bufferRegions=[]}visit(t){if(t instanceof Ne)return this.visitMany(t.data),this;const{type:e}=t;if(!Ot.isDictionary(e)){const{length:n}=t;if(n>2147483647)throw new RangeError("Cannot write arrays larger than 2^31 - 1 in length");if(Ot.isUnion(e))this.nodes.push(new Ni(n,0));else{const{nullCount:i}=t;Ot.isNull(e)||dn.call(this,i<=0?new Uint8Array(0):Ru(t.offset,n,t.nullBitmap)),this.nodes.push(new Ni(n,i))}}return super.visit(t)}visitNull(t){return this}visitDictionary(t){return this.visit(t.clone(t.type.indices))}get nodes(){return this._nodes}get buffers(){return this._buffers}get byteLength(){return this._byteLength}get bufferRegions(){return this._bufferRegions}}function dn(r){const t=r.byteLength+7&-8;return this.buffers.push(r),this.bufferRegions.push(new Ln(this._byteLength,t)),this._byteLength+=t,this}function pD(r){var 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createMessage(t,e,n,i,s,o){return Sn.startMessage(t),Sn.addVersion(t,e),Sn.addHeaderType(t,n),Sn.addHeader(t,i),Sn.addBodyLength(t,s),Sn.addCustomMetadata(t,o),Sn.endMessage(t)}};class R2 extends se{visit(t,e){return t==null||e==null?void 0:super.visit(t,e)}visitNull(t,e){return oy.startNull(e),oy.endNull(e)}visitInt(t,e){return Cr.startInt(e),Cr.addBitWidth(e,t.bitWidth),Cr.addIsSigned(e,t.isSigned),Cr.endInt(e)}visitFloat(t,e){return Rn.startFloatingPoint(e),Rn.addPrecision(e,t.precision),Rn.endFloatingPoint(e)}visitBinary(t,e){return ey.startBinary(e),ey.endBinary(e)}visitLargeBinary(t,e){return ny.startLargeBinary(e),ny.endLargeBinary(e)}visitBool(t,e){return ry.startBool(e),ry.endBool(e)}visitUtf8(t,e){return ay.startUtf8(e),ay.endUtf8(e)}visitLargeUtf8(t,e){return iy.startLargeUtf8(e),iy.endLargeUtf8(e)}visitDecimal(t,e){return Js.startDecimal(e),Js.addScale(e,t.scale),Js.addPrecision(e,t.precision),Js.addBitWidth(e,t.bitWidth),Js.endDecimal(e)}visitDate(t,e){return Vl.startDate(e),Vl.addUnit(e,t.unit),Vl.endDate(e)}visitTime(t,e){return Zr.startTime(e),Zr.addUnit(e,t.unit),Zr.addBitWidth(e,t.bitWidth),Zr.endTime(e)}visitTimestamp(t,e){const n=t.timezone&&e.createString(t.timezone)||void 0;return Kr.startTimestamp(e),Kr.addUnit(e,t.unit),n!==void 0&&Kr.addTimezone(e,n),Kr.endTimestamp(e)}visitInterval(t,e){return Fn.startInterval(e),Fn.addUnit(e,t.unit),Fn.endInterval(e)}visitDuration(t,e){return jl.startDuration(e),jl.addUnit(e,t.unit),jl.endDuration(e)}visitList(t,e){return sy.startList(e),sy.endList(e)}visitStruct(t,e){return ys.startStruct_(e),ys.endStruct_(e)}visitUnion(t,e){vr.startTypeIdsVector(e,t.typeIds.length);const n=vr.createTypeIdsVector(e,t.typeIds);return vr.startUnion(e),vr.addMode(e,t.mode),vr.addTypeIds(e,n),vr.endUnion(e)}visitDictionary(t,e){const n=this.visit(t.indices,e);return ai.startDictionaryEncoding(e),ai.addId(e,BigInt(t.id)),ai.addIsOrdered(e,t.isOrdered),n!==void 0&&ai.addIndexType(e,n),ai.endDictionaryEncoding(e)}visitFixedSizeBinary(t,e){return $l.startFixedSizeBinary(e),$l.addByteWidth(e,t.byteWidth),$l.endFixedSizeBinary(e)}visitFixedSizeList(t,e){return Gl.startFixedSizeList(e),Gl.addListSize(e,t.listSize),Gl.endFixedSizeList(e)}visitMap(t,e){return Wl.startMap(e),Wl.addKeysSorted(e,t.keysSorted),Wl.endMap(e)}}const Rh=new R2;function F2(r,t=new Map){return new Le(L2(r,t),Yl(r.metadata),t)}function Sx(r){return new Br(r.count,Tx(r.columns),Ix(r.columns))}function D2(r){return new Vn(Sx(r.data),r.id,r.isDelta)}function L2(r,t){return(r.fields||[]).filter(Boolean).map(e=>Pe.fromJSON(e,t))}function yy(r,t){return(r.children||[]).filter(Boolean).map(e=>Pe.fromJSON(e,t))}function Tx(r){return(r||[]).reduce((t,e)=>[...t,new Ni(e.count,N2(e.VALIDITY)),...Tx(e.children)],[])}function Ix(r,t=[]){for(let e=-1,n=(r||[]).length;++e<n;){const i=r[e];i.VALIDITY&&t.push(new Ln(t.length,i.VALIDITY.length)),i.TYPE_ID&&t.push(new Ln(t.length,i.TYPE_ID.length)),i.OFFSET&&t.push(new Ln(t.length,i.OFFSET.length)),i.DATA&&t.push(new Ln(t.length,i.DATA.length)),t=Ix(i.children,t)}return t}function N2(r){return(r||[]).reduce((t,e)=>t+ +(e===0),0)}function B2(r,t){let e,n,i,s,o,a;return!t||!(s=r.dictionary)?(o=_y(r,yy(r,t)),i=new Pe(r.name,o,r.nullable,Yl(r.metadata))):t.has(e=s.id)?(n=(n=s.indexType)?vy(n):new za,a=new Oo(t.get(e),n,e,s.isOrdered),i=new Pe(r.name,a,r.nullable,Yl(r.metadata))):(n=(n=s.indexType)?vy(n):new za,t.set(e,o=_y(r,yy(r,t))),a=new Oo(o,n,e,s.isOrdered),i=new Pe(r.name,a,r.nullable,Yl(r.metadata))),i||null}function Yl(r=[]){return new Map(r.map(({key:t,value:e})=>[t,e]))}function vy(r){return new Es(r.isSigned,r.bitWidth)}function _y(r,t){const e=r.type.name;switch(e){case"NONE":return new Ri;case"null":return new Ri;case"binary":return new gu;case"largebinary":return new yu;case"utf8":return new vu;case"largeutf8":return new _u;case"bool":return new bu;case"list":return new Au((t||[])[0]);case"struct":return new dr(t||[]);case"struct_":return new dr(t||[])}switch(e){case"int":{const n=r.type;return new Es(n.isSigned,n.bitWidth)}case"floatingpoint":{const n=r.type;return new mu(ar[n.precision])}case"decimal":{const n=r.type;return new wu(n.scale,n.precision,n.bitWidth)}case"date":{const n=r.type;return new xu(nn[n.unit])}case"time":{const n=r.type;return new Su(Vt[n.unit],n.bitWidth)}case"timestamp":{const n=r.type;return new Tu(Vt[n.unit],n.timezone)}case"interval":{const n=r.type;return new Iu(zn[n.unit])}case"duration":{const n=r.type;return new Eu(Vt[n.unit])}case"union":{const n=r.type,[i,...s]=(n.mode+"").toLowerCase(),o=i.toUpperCase()+s.join("");return new Mu(lr[o],n.typeIds||[],t||[])}case"fixedsizebinary":{const n=r.type;return new Cu(n.byteWidth)}case"fixedsizelist":{const n=r.type;return new Ou(n.listSize,(t||[])[0])}case"map":{const n=r.type;return new Pu((t||[])[0],n.keysSorted)}}throw new Error(`Unrecognized type: "${e}"`)}var U2=kb,k2=Mo;class fr{static fromJSON(t,e){const n=new fr(0,je.V5,e);return n._createHeader=z2(t,e),n}static decode(t){t=new k2(ce(t));const e=bi.getRootAsMessage(t),n=e.bodyLength(),i=e.version(),s=e.headerType(),o=new fr(n,i,s);return o._createHeader=V2(e,s),o}static encode(t){const e=new U2;let n=-1;return t.isSchema()?n=Le.encode(e,t.header()):t.isRecordBatch()?n=Br.encode(e,t.header()):t.isDictionaryBatch()&&(n=Vn.encode(e,t.header())),bi.startMessage(e),bi.addVersion(e,je.V5),bi.addHeader(e,n),bi.addHeaderType(e,t.headerType),bi.addBodyLength(e,BigInt(t.bodyLength)),bi.finishMessageBuffer(e,bi.endMessage(e)),e.asUint8Array()}static from(t,e=0){if(t instanceof Le)return new fr(0,je.V5,me.Schema,t);if(t instanceof Br)return new fr(e,je.V5,me.RecordBatch,t);if(t instanceof Vn)return new fr(e,je.V5,me.DictionaryBatch,t);throw new Error(`Unrecognized Message header: ${t}`)}get type(){return this.headerType}get version(){return this._version}get headerType(){return this._headerType}get bodyLength(){return this._bodyLength}header(){return this._createHeader()}isSchema(){return this.headerType===me.Schema}isRecordBatch(){return this.headerType===me.RecordBatch}isDictionaryBatch(){return this.headerType===me.DictionaryBatch}constructor(t,e,n,i){this._version=e,this._headerType=n,this.body=new Uint8Array(0),i&&(this._createHeader=()=>i),this._bodyLength=Te(t)}}class Br{get nodes(){return this._nodes}get length(){return this._length}get buffers(){return this._buffers}constructor(t,e,n){this._nodes=e,this._buffers=n,this._length=Te(t)}}class Vn{get id(){return this._id}get data(){return this._data}get isDelta(){return this._isDelta}get length(){return this.data.length}get nodes(){return this.data.nodes}get buffers(){return this.data.buffers}constructor(t,e,n=!1){this._data=t,this._isDelta=n,this._id=Te(e)}}class Ln{constructor(t,e){this.offset=Te(t),this.length=Te(e)}}class Ni{constructor(t,e){this.length=Te(t),this.nullCount=Te(e)}}function z2(r,t){return()=>{switch(t){case me.Schema:return Le.fromJSON(r);case me.RecordBatch:return Br.fromJSON(r);case me.DictionaryBatch:return Vn.fromJSON(r)}throw new Error(`Unrecognized Message type: { name: ${me[t]}, type: ${t} }`)}}function V2(r,t){return()=>{switch(t){case me.Schema:return Le.decode(r.header(new In),new Map,r.version());case me.RecordBatch:return Br.decode(r.header(new ri),r.version());case me.DictionaryBatch:return Vn.decode(r.header(new Zs),r.version())}throw new Error(`Unrecognized Message type: { name: ${me[t]}, type: ${t} }`)}}Pe.encode=K2;Pe.decode=Q2;Pe.fromJSON=B2;Le.encode=Z2;Le.decode=j2;Le.fromJSON=F2;Br.encode=J2;Br.decode=$2;Br.fromJSON=Sx;Vn.encode=tD;Vn.decode=G2;Vn.fromJSON=D2;Ni.encode=eD;Ni.decode=H2;Ln.encode=rD;Ln.decode=W2;function j2(r,t=new Map,e=je.V5){const n=q2(r,t);return new Le(n,ql(r),t,e)}function $2(r,t=je.V5){if(r.compression()!==null)throw new Error("Record batch compression not implemented");return new Br(r.length(),X2(r),Y2(r,t))}function G2(r,t=je.V5){return new Vn(Br.decode(r.data(),t),r.id(),r.isDelta())}function W2(r){return new Ln(r.offset(),r.length())}function H2(r){return new Ni(r.length(),r.nullCount())}function X2(r){const t=[];for(let e,n=-1,i=-1,s=r.nodesLength();++n<s;)(e=r.nodes(n))&&(t[++i]=Ni.decode(e));return t}function Y2(r,t){const e=[];for(let n,i=-1,s=-1,o=r.buffersLength();++i<o;)(n=r.buffers(i))&&(t<je.V4&&(n.bb_pos+=8*(i+1)),e[++s]=Ln.decode(n));return e}function q2(r,t){const e=[];for(let n,i=-1,s=-1,o=r.fieldsLength();++i<o;)(n=r.fields(i))&&(e[++s]=Pe.decode(n,t));return e}function by(r,t){const e=[];for(let n,i=-1,s=-1,o=r.childrenLength();++i<o;)(n=r.children(i))&&(e[++s]=Pe.decode(n,t));return e}function Q2(r,t){let e,n,i,s,o,a;return!t||!(a=r.dictionary())?(i=xy(r,by(r,t)),n=new Pe(r.name(),i,r.nullable(),ql(r))):t.has(e=Te(a.id()))?(s=(s=a.indexType())?wy(s):new za,o=new Oo(t.get(e),s,e,a.isOrdered()),n=new Pe(r.name(),o,r.nullable(),ql(r))):(s=(s=a.indexType())?wy(s):new za,t.set(e,i=xy(r,by(r,t))),o=new Oo(i,s,e,a.isOrdered()),n=new Pe(r.name(),o,r.nullable(),ql(r))),n||null}function ql(r){const t=new Map;if(r)for(let e,n,i=-1,s=Math.trunc(r.customMetadataLength());++i<s;)(e=r.customMetadata(i))&&(n=e.key())!=null&&t.set(n,e.value());return t}function wy(r){return new Es(r.isSigned(),r.bitWidth())}function xy(r,t){const e=r.typeType();switch(e){case Ee.NONE:return new Ri;case Ee.Null:return new Ri;case Ee.Binary:return new gu;case Ee.LargeBinary:return new yu;case Ee.Utf8:return new vu;case Ee.LargeUtf8:return new _u;case Ee.Bool:return new bu;case Ee.List:return new Au((t||[])[0]);case Ee.Struct_:return new dr(t||[])}switch(e){case Ee.Int:{const n=r.type(new Cr);return new Es(n.isSigned(),n.bitWidth())}case Ee.FloatingPoint:{const n=r.type(new Rn);return new mu(n.precision())}case Ee.Decimal:{const n=r.type(new Js);return new wu(n.scale(),n.precision(),n.bitWidth())}case Ee.Date:{const n=r.type(new Vl);return new xu(n.unit())}case Ee.Time:{const n=r.type(new Zr);return new Su(n.unit(),n.bitWidth())}case Ee.Timestamp:{const n=r.type(new Kr);return new Tu(n.unit(),n.timezone())}case Ee.Interval:{const n=r.type(new Fn);return new Iu(n.unit())}case Ee.Duration:{const n=r.type(new jl);return new Eu(n.unit())}case Ee.Union:{const n=r.type(new vr);return new Mu(n.mode(),n.typeIdsArray()||[],t||[])}case Ee.FixedSizeBinary:{const n=r.type(new $l);return new Cu(n.byteWidth())}case Ee.FixedSizeList:{const n=r.type(new Gl);return new Ou(n.listSize(),(t||[])[0])}case Ee.Map:{const n=r.type(new Wl);return new Pu((t||[])[0],n.keysSorted())}}throw new Error(`Unrecognized type: "${Ee[e]}" (${e})`)}function Z2(r,t){const e=t.fields.map(s=>Pe.encode(r,s));In.startFieldsVector(r,e.length);const n=In.createFieldsVector(r,e),i=t.metadata&&t.metadata.size>0?In.createCustomMetadataVector(r,[...t.metadata].map(([s,o])=>{const a=r.createString(`${s}`),l=r.createString(`${o}`);return qe.startKeyValue(r),qe.addKey(r,a),qe.addValue(r,l),qe.endKeyValue(r)})):-1;return In.startSchema(r),In.addFields(r,n),In.addEndianness(r,nD?Co.Little:Co.Big),i!==-1&&In.addCustomMetadata(r,i),In.endSchema(r)}function K2(r,t){let e=-1,n=-1,i=-1;const s=t.type;let o=t.typeId;Ot.isDictionary(s)?(o=s.dictionary.typeId,i=Rh.visit(s,r),n=Rh.visit(s.dictionary,r)):n=Rh.visit(s,r);const a=(s.children||[]).map(c=>Pe.encode(r,c)),l=Wr.createChildrenVector(r,a),u=t.metadata&&t.metadata.size>0?Wr.createCustomMetadataVector(r,[...t.metadata].map(([c,h])=>{const f=r.createString(`${c}`),d=r.createString(`${h}`);return qe.startKeyValue(r),qe.addKey(r,f),qe.addValue(r,d),qe.endKeyValue(r)})):-1;return t.name&&(e=r.createString(t.name)),Wr.startField(r),Wr.addType(r,n),Wr.addTypeType(r,o),Wr.addChildren(r,l),Wr.addNullable(r,!!t.nullable),e!==-1&&Wr.addName(r,e),i!==-1&&Wr.addDictionary(r,i),u!==-1&&Wr.addCustomMetadata(r,u),Wr.endField(r)}function J2(r,t){const e=t.nodes||[],n=t.buffers||[];ri.startNodesVector(r,e.length);for(const o of e.slice().reverse())Ni.encode(r,o);const i=r.endVector();ri.startBuffersVector(r,n.length);for(const o of n.slice().reverse())Ln.encode(r,o);const s=r.endVector();return ri.startRecordBatch(r),ri.addLength(r,BigInt(t.length)),ri.addNodes(r,i),ri.addBuffers(r,s),ri.endRecordBatch(r)}function tD(r,t){const e=Br.encode(r,t.data);return Zs.startDictionaryBatch(r),Zs.addId(r,BigInt(t.id)),Zs.addIsDelta(r,t.isDelta),Zs.addData(r,e),Zs.endDictionaryBatch(r)}function eD(r,t){return jb.createFieldNode(r,BigInt(t.length),BigInt(t.nullCount))}function rD(r,t){return Vb.createBuffer(r,BigInt(t.offset),BigInt(t.length))}const nD=(()=>{const r=new ArrayBuffer(2);return new DataView(r).setInt16(0,256,!0),new Int16Array(r)[0]===256})(),fp=r=>`Expected ${me[r]} Message in stream, but was null or length 0.`,pp=r=>`Header pointer of flatbuffer-encoded ${me[r]} Message is null or length 0.`,Ex=(r,t)=>`Expected to read ${r} metadata bytes, but only read ${t}.`,Ax=(r,t)=>`Expected to read ${r} bytes for message body, but only read ${t}.`;class Mx{constructor(t){this.source=t instanceof Nu?t:new Nu(t)}[Symbol.iterator](){return this}next(){let t;return(t=this.readMetadataLength()).done||t.value===-1&&(t=this.readMetadataLength()).done||(t=this.readMetadata(t.value)).done?Be:t}throw(t){return this.source.throw(t)}return(t){return this.source.return(t)}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readMessageBody(t){if(t<=0)return new Uint8Array(0);const e=ce(this.source.read(t));if(e.byteLength<t)throw new Error(Ax(t,e.byteLength));return e.byteOffset%8===0&&e.byteOffset+e.byteLength<=e.buffer.byteLength?e:e.slice()}readSchema(t=!1){const e=me.Schema,n=this.readMessage(e),i=n==null?void 0:n.header();if(t&&!i)throw new Error(pp(e));return i}readMetadataLength(){const t=this.source.read(uc),e=t&&new Mo(t),n=(e==null?void 0:e.readInt32(0))||0;return{done:n===0,value:n}}readMetadata(t){const e=this.source.read(t);if(!e)return Be;if(e.byteLength<t)throw new Error(Ex(t,e.byteLength));return{done:!1,value:fr.decode(e)}}}class iD{constructor(t,e){this.source=t instanceof Po?t:Fb(t)?new Bu(t,e):new Po(t)}[Symbol.asyncIterator](){return this}next(){return Jt(this,void 0,void 0,function*(){let t;return(t=yield this.readMetadataLength()).done||t.value===-1&&(t=yield this.readMetadataLength()).done||(t=yield this.readMetadata(t.value)).done?Be:t})}throw(t){return Jt(this,void 0,void 0,function*(){return yield this.source.throw(t)})}return(t){return Jt(this,void 0,void 0,function*(){return yield this.source.return(t)})}readMessage(t){return Jt(this,void 0,void 0,function*(){let e;if((e=yield this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value})}readMessageBody(t){return Jt(this,void 0,void 0,function*(){if(t<=0)return new Uint8Array(0);const e=ce(yield this.source.read(t));if(e.byteLength<t)throw new Error(Ax(t,e.byteLength));return e.byteOffset%8===0&&e.byteOffset+e.byteLength<=e.buffer.byteLength?e:e.slice()})}readSchema(){return Jt(this,arguments,void 0,function*(t=!1){const e=me.Schema,n=yield this.readMessage(e),i=n==null?void 0:n.header();if(t&&!i)throw new Error(pp(e));return i})}readMetadataLength(){return Jt(this,void 0,void 0,function*(){const t=yield this.source.read(uc),e=t&&new Mo(t),n=(e==null?void 0:e.readInt32(0))||0;return{done:n===0,value:n}})}readMetadata(t){return Jt(this,void 0,void 0,function*(){const e=yield this.source.read(t);if(!e)return Be;if(e.byteLength<t)throw new Error(Ex(t,e.byteLength));return{done:!1,value:fr.decode(e)}})}}class sD extends Mx{constructor(t){super(new Uint8Array(0)),this._schema=!1,this._body=[],this._batchIndex=0,this._dictionaryIndex=0,this._json=t instanceof py?t:new py(t)}next(){const{_json:t}=this;if(!this._schema)return this._schema=!0,{done:!1,value:fr.fromJSON(t.schema,me.Schema)};if(this._dictionaryIndex<t.dictionaries.length){const e=t.dictionaries[this._dictionaryIndex++];return this._body=e.data.columns,{done:!1,value:fr.fromJSON(e,me.DictionaryBatch)}}if(this._batchIndex<t.batches.length){const e=t.batches[this._batchIndex++];return this._body=e.columns,{done:!1,value:fr.fromJSON(e,me.RecordBatch)}}return this._body=[],Be}readMessageBody(t){return e(this._body);function e(n){return(n||[]).reduce((i,s)=>[...i,...s.VALIDITY&&[s.VALIDITY]||[],...s.TYPE_ID&&[s.TYPE_ID]||[],...s.OFFSET&&[s.OFFSET]||[],...s.DATA&&[s.DATA]||[],...e(s.children)],[])}}readMessage(t){let e;if((e=this.next()).done)return null;if(t!=null&&e.value.headerType!==t)throw new Error(fp(t));return e.value}readSchema(){const t=me.Schema,e=this.readMessage(t),n=e==null?void 0:e.header();if(!e||!n)throw new Error(pp(t));return n}}const uc=4,sf="ARROW1",ja=new Uint8Array(sf.length);for(let r=0;r<sf.length;r+=1)ja[r]=sf.codePointAt(r);function mp(r,t=0){for(let e=-1,n=ja.length;++e<n;)if(ja[e]!==r[t+e])return!1;return!0}const tl=ja.length,Cx=tl+uc,oD=tl*2+uc;class tn extends ap{constructor(t){super(),this._impl=t}get closed(){return this._impl.closed}get schema(){return this._impl.schema}get autoDestroy(){return this._impl.autoDestroy}get dictionaries(){return this._impl.dictionaries}get numDictionaries(){return this._impl.numDictionaries}get numRecordBatches(){return this._impl.numRecordBatches}get footer(){return this._impl.isFile()?this._impl.footer:null}isSync(){return this._impl.isSync()}isAsync(){return this._impl.isAsync()}isFile(){return this._impl.isFile()}isStream(){return this._impl.isStream()}next(){return this._impl.next()}throw(t){return this._impl.throw(t)}return(t){return this._impl.return(t)}cancel(){return this._impl.cancel()}reset(t){return this._impl.reset(t),this._DOMStream=void 0,this._nodeStream=void 0,this}open(t){const e=this._impl.open(t);return Is(e)?e.then(()=>this):this}readRecordBatch(t){return this._impl.isFile()?this._impl.readRecordBatch(t):null}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}toDOMStream(){return Yr.toDOMStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this})}toNodeStream(){return Yr.toNodeStream(this.isSync()?{[Symbol.iterator]:()=>this}:{[Symbol.asyncIterator]:()=>this},{objectMode:!0})}static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}static from(t){return t instanceof tn?t:Hd(t)?cD(t):Fb(t)?fD(t):Is(t)?Jt(this,void 0,void 0,function*(){return yield tn.from(yield t)}):Db(t)||Zf(t)||Lb(t)||Uo(t)?dD(new Po(t)):hD(new Nu(t))}static readAll(t){return t instanceof tn?t.isSync()?Sy(t):Ty(t):Hd(t)||ArrayBuffer.isView(t)||Qa(t)||Rb(t)?Sy(t):Ty(t)}}class Uu extends tn{constructor(t){super(t),this._impl=t}readAll(){return[...this]}[Symbol.iterator](){return this._impl[Symbol.iterator]()}[Symbol.asyncIterator](){return br(this,arguments,function*(){yield Rt(yield*Ss(Bn(this[Symbol.iterator]())))})}}class ku extends tn{constructor(t){super(t),this._impl=t}readAll(){return Jt(this,void 0,void 0,function*(){var t,e,n,i;const s=new Array;try{for(var o=!0,a=Bn(this),l;l=yield a.next(),t=l.done,!t;o=!0){i=l.value,o=!1;const u=i;s.push(u)}}catch(u){e={error:u}}finally{try{!o&&!t&&(n=a.return)&&(yield n.call(a))}finally{if(e)throw e.error}}return s})}[Symbol.iterator](){throw new Error("AsyncRecordBatchStreamReader is not Iterable")}[Symbol.asyncIterator](){return this._impl[Symbol.asyncIterator]()}}class Ox extends Uu{constructor(t){super(t),this._impl=t}}class aD extends ku{constructor(t){super(t),this._impl=t}}class Px{get numDictionaries(){return this._dictionaryIndex}get numRecordBatches(){return this._recordBatchIndex}constructor(t=new Map){this.closed=!1,this.autoDestroy=!0,this._dictionaryIndex=0,this._recordBatchIndex=0,this.dictionaries=t}isSync(){return!1}isAsync(){return!1}isFile(){return!1}isStream(){return!1}reset(t){return this._dictionaryIndex=0,this._recordBatchIndex=0,this.schema=t,this.dictionaries=new Map,this}_loadRecordBatch(t,e){const n=this._loadVectors(t,e,this.schema.fields),i=le({type:new dr(this.schema.fields),length:t.length,children:n});return new _r(this.schema,i)}_loadDictionaryBatch(t,e){const{id:n,isDelta:i}=t,{dictionaries:s,schema:o}=this,a=s.get(n),l=o.dictionaries.get(n),u=this._loadVectors(t.data,e,[l]);return(a&&i?a.concat(new Ne(u)):new Ne(u)).memoize()}_loadVectors(t,e,n){return new _x(e,t.nodes,t.buffers,this.dictionaries,this.schema.metadataVersion).visitMany(n)}}class zu extends Px{constructor(t,e){super(e),this._reader=Hd(t)?new sD(this._handle=t):new Mx(this._handle=t)}isSync(){return!0}isStream(){return!0}[Symbol.iterator](){return this}cancel(){!this.closed&&(this.closed=!0)&&(this.reset()._reader.return(),this._reader=null,this.dictionaries=null)}open(t){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=this._reader.readSchema())||this.cancel()),this}throw(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.throw(t):Be}return(t){return!this.closed&&this.autoDestroy&&(this.closed=!0)?this.reset()._reader.return(t):Be}next(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=this._readNextMessageAndValidate();)if(t.isSchema())this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):this.return()}_readNextMessageAndValidate(t){return this._reader.readMessage(t)}}class Vu extends Px{constructor(t,e){super(e),this._reader=new iD(this._handle=t)}isAsync(){return!0}isStream(){return!0}[Symbol.asyncIterator](){return this}cancel(){return Jt(this,void 0,void 0,function*(){!this.closed&&(this.closed=!0)&&(yield this.reset()._reader.return(),this._reader=null,this.dictionaries=null)})}open(t){return Jt(this,void 0,void 0,function*(){return this.closed||(this.autoDestroy=Fx(this,t),this.schema||(this.schema=yield this._reader.readSchema())||(yield this.cancel())),this})}throw(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.throw(t):Be})}return(t){return Jt(this,void 0,void 0,function*(){return!this.closed&&this.autoDestroy&&(this.closed=!0)?yield this.reset()._reader.return(t):Be})}next(){return Jt(this,void 0,void 0,function*(){if(this.closed)return Be;let t;const{_reader:e}=this;for(;t=yield this._readNextMessageAndValidate();)if(t.isSchema())yield this.reset(t.header());else if(t.isRecordBatch()){this._recordBatchIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength);return{done:!1,value:this._loadRecordBatch(n,i)}}else if(t.isDictionaryBatch()){this._dictionaryIndex++;const n=t.header(),i=yield e.readMessageBody(t.bodyLength),s=this._loadDictionaryBatch(n,i);this.dictionaries.set(n.id,s)}return this.schema&&this._recordBatchIndex===0?(this._recordBatchIndex++,{done:!1,value:new dp(this.schema)}):yield this.return()})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){return yield this._reader.readMessage(t)})}}class Rx extends zu{get footer(){return this._footer}get numDictionaries(){return this._footer?this._footer.numDictionaries:0}get numRecordBatches(){return this._footer?this._footer.numRecordBatches:0}constructor(t,e){super(t instanceof my?t:new my(t),e)}isSync(){return!0}isFile(){return!0}open(t){if(!this.closed&&!this._footer){this.schema=(this._footer=this._readFooter()).schema;for(const e of this._footer.dictionaryBatches())e&&this._readDictionaryBatch(this._dictionaryIndex++)}return super.open(t)}readRecordBatch(t){var e;if(this.closed)return null;this._footer||this.open();const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null}_readDictionaryBatch(t){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&this._handle.seek(n.offset)){const i=this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}}_readFooter(){const{_handle:t}=this,e=t.size-Cx,n=t.readInt32(e),i=t.readAt(e-n,n);return Va.decode(i)}_readNextMessageAndValidate(t){var e;if(this._footer||this.open(),this._footer&&this._recordBatchIndex<this.numRecordBatches){const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(this._recordBatchIndex);if(n&&this._handle.seek(n.offset))return this._reader.readMessage(t)}return null}}class lD extends Vu{get footer(){return this._footer}get numDictionaries(){return this._footer?this._footer.numDictionaries:0}get numRecordBatches(){return this._footer?this._footer.numRecordBatches:0}constructor(t,...e){const n=typeof e[0]!="number"?e.shift():void 0,i=e[0]instanceof Map?e.shift():void 0;super(t instanceof Bu?t:new Bu(t,n),i)}isFile(){return!0}isAsync(){return!0}open(t){const e=Object.create(null,{open:{get:()=>super.open}});return Jt(this,void 0,void 0,function*(){if(!this.closed&&!this._footer){this.schema=(this._footer=yield this._readFooter()).schema;for(const n of this._footer.dictionaryBatches())n&&(yield this._readDictionaryBatch(this._dictionaryIndex++))}return yield e.open.call(this,t)})}readRecordBatch(t){return Jt(this,void 0,void 0,function*(){var e;if(this.closed)return null;this._footer||(yield this.open());const n=(e=this._footer)===null||e===void 0?void 0:e.getRecordBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.RecordBatch);if(i!=null&&i.isRecordBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength);return this._loadRecordBatch(s,o)}}return null})}_readDictionaryBatch(t){return Jt(this,void 0,void 0,function*(){var e;const n=(e=this._footer)===null||e===void 0?void 0:e.getDictionaryBatch(t);if(n&&(yield this._handle.seek(n.offset))){const i=yield this._reader.readMessage(me.DictionaryBatch);if(i!=null&&i.isDictionaryBatch()){const s=i.header(),o=yield this._reader.readMessageBody(i.bodyLength),a=this._loadDictionaryBatch(s,o);this.dictionaries.set(s.id,a)}}})}_readFooter(){return Jt(this,void 0,void 0,function*(){const{_handle:t}=this;t._pending&&(yield t._pending);const e=t.size-Cx,n=yield t.readInt32(e),i=yield t.readAt(e-n,n);return Va.decode(i)})}_readNextMessageAndValidate(t){return Jt(this,void 0,void 0,function*(){if(this._footer||(yield this.open()),this._footer&&this._recordBatchIndex<this.numRecordBatches){const e=this._footer.getRecordBatch(this._recordBatchIndex);if(e&&(yield this._handle.seek(e.offset)))return yield this._reader.readMessage(t)}return null})}}class uD extends zu{constructor(t,e){super(t,e)}_loadVectors(t,e,n){return new x2(e,t.nodes,t.buffers,this.dictionaries,this.schema.metadataVersion).visitMany(n)}}function Fx(r,t){return t&&typeof t.autoDestroy=="boolean"?t.autoDestroy:r.autoDestroy}function*Sy(r){const t=tn.from(r);try{if(!t.open({autoDestroy:!1}).closed)do yield t;while(!t.reset().open().closed)}finally{t.cancel()}}function Ty(r){return br(this,arguments,function*(){const e=yield Rt(tn.from(r));try{if(!(yield Rt(e.open({autoDestroy:!1}))).closed)do yield yield Rt(e);while(!(yield Rt(e.reset().open())).closed)}finally{yield Rt(e.cancel())}})}function cD(r){return new Uu(new uD(r))}function hD(r){const t=r.peek(tl+7&-8);return t&&t.byteLength>=4?mp(t)?new Ox(new Rx(r.read())):new Uu(new zu(r)):new Uu(new zu(function*(){}()))}function dD(r){return Jt(this,void 0,void 0,function*(){const t=yield r.peek(tl+7&-8);return t&&t.byteLength>=4?mp(t)?new Ox(new Rx(yield r.read())):new ku(new Vu(r)):new ku(new Vu(function(){return br(this,arguments,function*(){})}()))})}function fD(r){return Jt(this,void 0,void 0,function*(){const{size:t}=yield r.stat(),e=new Bu(r,t);return t>=oD&&mp(yield e.readAt(0,tl+7&-8))?new aD(new lD(e)):new ku(new Vu(e))})}class ke extends se{static assemble(...t){const e=i=>i.flatMap(s=>Array.isArray(s)?e(s):s instanceof _r?s.data.children:s.data),n=new ke;return n.visitMany(e(t)),n}constructor(){super(),this._byteLength=0,this._nodes=[],this._buffers=[],this._bufferRegions=[]}visit(t){if(t instanceof Ne)return this.visitMany(t.data),this;const{type:e}=t;if(!Ot.isDictionary(e)){const{length:n}=t;if(n>2147483647)throw new RangeError("Cannot write arrays larger than 2^31 - 1 in length");if(Ot.isUnion(e))this.nodes.push(new Ni(n,0));else{const{nullCount:i}=t;Ot.isNull(e)||dn.call(this,i<=0?new Uint8Array(0):Ru(t.offset,n,t.nullBitmap)),this.nodes.push(new Ni(n,i))}}return super.visit(t)}visitNull(t){return this}visitDictionary(t){return this.visit(t.clone(t.type.indices))}get nodes(){return this._nodes}get buffers(){return this._buffers}get byteLength(){return this._byteLength}get bufferRegions(){return this._bufferRegions}}function dn(r){const t=r.byteLength+7&-8;return this.buffers.push(r),this.bufferRegions.push(new Ln(this._byteLength,t)),this._byteLength+=t,this}function pD(r){var t;const{type:e,length:n,typeIds:i,valueOffsets:s}=r;if(dn.call(this,i),e.mode===lr.Sparse)return of.call(this,r);if(e.mode===lr.Dense){if(r.offset<=0)return dn.call(this,s),of.call(this,r);{const o=new Int32Array(n),a=Object.create(null),l=Object.create(null);for(let u,c,h=-1;++h<n;)(u=i[h])!==void 0&&((c=a[u])===void 0&&(c=a[u]=s[h]),o[h]=s[h]-c,l[u]=((t=l[u])!==null&&t!==void 0?t:0)+1);dn.call(this,o),this.visitMany(r.children.map((u,c)=>{const h=e.typeIds[c],f=a[h],d=l[h];return u.slice(f,Math.min(n,d))}))}}return this}function mD(r){let t;return r.nullCount>=r.length?dn.call(this,new Uint8Array(0)):(t=r.values)instanceof Uint8Array?dn.call(this,Ru(r.offset,r.length,t)):dn.call(this,Fu(r.values))}function fi(r){return dn.call(this,r.values.subarray(0,r.length*r.stride))}function cc(r){const{length:t,values:e,valueOffsets:n}=r,i=Te(n[0]),s=Te(n[t]),o=Math.min(s-i,e.byteLength-i);return dn.call(this,Bb(-i,t+1,n)),dn.call(this,e.subarray(i,i+o)),this}function gp(r){const{length:t,valueOffsets:e}=r;if(e){const{[0]:n,[t]:i}=e;return dn.call(this,Bb(-n,t+1,e)),this.visit(r.children[0].slice(n,i-n))}return this.visit(r.children[0])}function of(r){return this.visitMany(r.type.children.map((t,e)=>r.children[e]).filter(Boolean))[0]}ke.prototype.visitBool=mD;ke.prototype.visitInt=fi;ke.prototype.visitFloat=fi;ke.prototype.visitUtf8=cc;ke.prototype.visitLargeUtf8=cc;ke.prototype.visitBinary=cc;ke.prototype.visitLargeBinary=cc;ke.prototype.visitFixedSizeBinary=fi;ke.prototype.visitDate=fi;ke.prototype.visitTimestamp=fi;ke.prototype.visitTime=fi;ke.prototype.visitDecimal=fi;ke.prototype.visitList=gp;ke.prototype.visitStruct=of;ke.prototype.visitUnion=pD;ke.prototype.visitInterval=fi;ke.prototype.visitDuration=fi;ke.prototype.visitFixedSizeList=gp;ke.prototype.visitMap=gp;class Dx extends ap{static throughNode(t){throw new Error('"throughNode" not available in this environment')}static throughDOM(t,e){throw new Error('"throughDOM" not available in this environment')}constructor(t){super(),this._position=0,this._started=!1,this._sink=new Xl,this._schema=null,this._dictionaryBlocks=[],this._recordBatchBlocks=[],this._seenDictionaries=new Map,this._dictionaryDeltaOffsets=new Map,wr(t)||(t={autoDestroy:!0,writeLegacyIpcFormat:!1}),this._autoDestroy=typeof t.autoDestroy=="boolean"?t.autoDestroy:!0,this._writeLegacyIpcFormat=typeof t.writeLegacyIpcFormat=="boolean"?t.writeLegacyIpcFormat:!1}toString(t=!1){return this._sink.toString(t)}toUint8Array(t=!1){return this._sink.toUint8Array(t)}writeAll(t){return Is(t)?t.then(e=>this.writeAll(e)):Uo(t)?bp(this,t):_p(this,t)}get closed(){return this._sink.closed}[Symbol.asyncIterator](){return this._sink[Symbol.asyncIterator]()}toDOMStream(t){return this._sink.toDOMStream(t)}toNodeStream(t){return this._sink.toNodeStream(t)}close(){return this.reset()._sink.close()}abort(t){return this.reset()._sink.abort(t)}finish(){return this._autoDestroy?this.close():this.reset(this._sink,this._schema),this}reset(t=this._sink,e=null){return t===this._sink||t instanceof Xl?this._sink=t:(this._sink=new Xl,t&&GR(t)?this.toDOMStream({type:"bytes"}).pipeTo(t):t&&WR(t)&&this.toNodeStream({objectMode:!1}).pipe(t)),this._started&&this._schema&&this._writeFooter(this._schema),this._started=!1,this._dictionaryBlocks=[],this._recordBatchBlocks=[],this._seenDictionaries=new Map,this._dictionaryDeltaOffsets=new Map,(!e||!nf(e,this._schema))&&(e==null?(this._position=0,this._schema=null):(this._started=!0,this._schema=e,this._writeSchema(e))),this}write(t){let e=null;if(this._sink){if(t==null)return this.finish()&&void 0;if(t instanceof Li&&!(e=t.schema))return this.finish()&&void 0;if(t instanceof _r&&!(e=t.schema))return this.finish()&&void 0}else throw new Error("RecordBatchWriter is closed");if(e&&!nf(e,this._schema)){if(this._started&&this._autoDestroy)return this.close();this.reset(this._sink,e)}t instanceof _r?t instanceof dp||this._writeRecordBatch(t):t instanceof Li?this.writeAll(t.batches):Qa(t)&&this.writeAll(t)}_writeMessage(t,e=8){const n=e-1,i=fr.encode(t),s=i.byteLength,o=this._writeLegacyIpcFormat?4:8,a=s+o+n&~n,l=a-s-o;return t.headerType===me.RecordBatch?this._recordBatchBlocks.push(new Fi(a,t.bodyLength,this._position)):t.headerType===me.DictionaryBatch&&this._dictionaryBlocks.push(new Fi(a,t.bodyLength,this._position)),this._writeLegacyIpcFormat||this._write(Int32Array.of(-1)),this._write(Int32Array.of(a-o)),s>0&&this._write(i),this._writePadding(l)}_write(t){if(this._started){const e=ce(t);e&&e.byteLength>0&&(this._sink.write(e),this._position+=e.byteLength)}return this}_writeSchema(t){return this._writeMessage(fr.from(t))}_writeFooter(t){return this._writeLegacyIpcFormat?this._write(Int32Array.of(0)):this._write(Int32Array.of(-1,0))}_writeMagic(){return this._write(ja)}_writePadding(t){return t>0?this._write(new Uint8Array(t)):this}_writeRecordBatch(t){const{byteLength:e,nodes:n,bufferRegions:i,buffers:s}=ke.assemble(t),o=new Br(t.numRows,n,i),a=fr.from(o,e);return this._writeDictionaries(t)._writeMessage(a)._writeBodyBuffers(s)}_writeDictionaryBatch(t,e,n=!1){const{byteLength:i,nodes:s,bufferRegions:o,buffers:a}=ke.assemble(new Ne([t])),l=new Br(t.length,s,o),u=new Vn(l,e,n),c=fr.from(u,i);return this._writeMessage(c)._writeBodyBuffers(a)}_writeBodyBuffers(t){let e,n,i;for(let s=-1,o=t.length;++s<o;)(e=t[s])&&(n=e.byteLength)>0&&(this._write(e),(i=(n+7&-8)-n)>0&&this._writePadding(i));return this}_writeDictionaries(t){var e,n;for(const[i,s]of t.dictionaries){const o=(e=s==null?void 0:s.data)!==null&&e!==void 0?e:[],a=this._seenDictionaries.get(i),l=(n=this._dictionaryDeltaOffsets.get(i))!==null&&n!==void 0?n:0;if(!a||a.data[0]!==o[0])for(const[u,c]of o.entries())this._writeDictionaryBatch(c,i,u>0);else if(l<o.length)for(const u of o.slice(l))this._writeDictionaryBatch(u,i,!0);this._seenDictionaries.set(i,s),this._dictionaryDeltaOffsets.set(i,o.length)}return this}}class yp extends Dx{static writeAll(t,e){const n=new yp(e);return Is(t)?t.then(i=>n.writeAll(i)):Uo(t)?bp(n,t):_p(n,t)}}class vp extends Dx{static writeAll(t){const e=new vp;return Is(t)?t.then(n=>e.writeAll(n)):Uo(t)?bp(e,t):_p(e,t)}constructor(){super(),this._autoDestroy=!0}_writeSchema(t){return this._writeMagic()._writePadding(2)}_writeDictionaryBatch(t,e,n=!1){if(!n&&this._seenDictionaries.has(e))throw new Error("The Arrow File format does not support replacement dictionaries. ");return super._writeDictionaryBatch(t,e,n)}_writeFooter(t){const e=Va.encode(new Va(t,je.V5,this._recordBatchBlocks,this._dictionaryBlocks));return super._writeFooter(t)._write(e)._write(Int32Array.of(e.byteLength))._writeMagic()}}function _p(r,t){let e=t;t instanceof Li&&(e=t.batches,r.reset(void 0,t.schema));for(const n of e)r.write(n);return r.finish()}function bp(r,t){return Jt(this,void 0,void 0,function*(){var e,n,i,s,o,a,l;try{for(e=!0,n=Bn(t);i=yield n.next(),s=i.done,!s;e=!0){l=i.value,e=!1;const u=l;r.write(u)}}catch(u){o={error:u}}finally{try{!e&&!s&&(a=n.return)&&(yield a.call(n))}finally{if(o)throw o.error}}return r.finish()})}function gD(r,t="stream"){return(t==="stream"?yp:vp).writeAll(r).toUint8Array(!0)}var yD=Object.create,Lx=Object.defineProperty,vD=Object.getOwnPropertyDescriptor,_D=Object.getOwnPropertyNames,bD=Object.getPrototypeOf,wD=Object.prototype.hasOwnProperty,xD=(r,t)=>()=>(t||r((t={exports:{}}).exports,t),t.exports),SD=(r,t,e,n)=>{if(t&&typeof 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this.tableName=="string"?{[this.tableName]:!0}:{}}createJoin(e){return(n,i)=>{var a;const s=this.tableName,o=fs(n);if(typeof o=="string"&&((a=this.config.joins)!=null&&a.some(l=>l.alias===o)))throw new Error(`Alias "${o}" is already used in this query`);if(!this.isPartialSelect&&(Object.keys(this.joinsNotNullableMap).length===1&&typeof s=="string"&&(this.config.fields={[s]:this.config.fields}),typeof o=="string"&&!lt(n,Pt))){const l=lt(n,Nr)?n._.selectedFields:lt(n,ji)?n[Qe].selectedFields:n[It.Symbol.Columns];this.config.fields[o]=l}if(typeof i=="function"&&(i=i(new Proxy(this.config.fields,new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})))),this.config.joins||(this.config.joins=[]),this.config.joins.push({on:i,table:n,joinType:e,alias:o}),typeof o=="string")switch(e){case"left":{this.joinsNotNullableMap[o]=!1;break}case"right":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([l])=>[l,!1])),this.joinsNotNullableMap[o]=!0;break}case"inner":{this.joinsNotNullableMap[o]=!0;break}case"full":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([l])=>[l,!1])),this.joinsNotNullableMap[o]=!1;break}}return this}}createSetOperator(e,n){return i=>{const s=typeof i=="function"?i(Pk()):i;if(!Bp(this.getSelectedFields(),s.getSelectedFields()))throw new Error("Set operator error (union / intersect / except): selected fields are not the same or are in a different order");return this.config.setOperators.push({type:e,isAll:n,rightSelect:s}),this}}addSetOperators(e){return this.config.setOperators.push(...e),this}where(e){return typeof e=="function"&&(e=e(new Proxy(this.config.fields,new 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this.config.setOperators.length>0?this.config.setOperators.at(-1).offset=e:this.config.offset=e,this}for(e,n={}){return this.config.lockingClause={strength:e,config:n},this}getSQL(){return this.dialect.buildSelectQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}as(e){return new Proxy(new Nr(this.getSQL(),this.config.fields,e),new or({alias:e,sqlAliasedBehavior:"alias",sqlBehavior:"error"}))}getSelectedFields(){return new Proxy(this.config.fields,new or({alias:this.tableName,sqlAliasedBehavior:"alias",sqlBehavior:"error"}))}$dynamic(){return this}}W(qT,j_,"PgSelectQueryBuilder");var G_,W_;class zp extends(W_=qT,G_=St,W_){constructor(){super(...arguments);W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)))}_prepare(e){const{session:n,config:i,dialect:s,joinsNotNullableMap:o,authToken:a}=this;if(!n)throw new Error("Cannot execute a query on a query builder. Please use a database instance instead.");return Ur.startActiveSpan("drizzle.prepareQuery",()=>{const l=Cs(i.fields),u=n.prepareQuery(s.sqlToQuery(this.getSQL()),l,e,!0);return u.joinsNotNullableMap=o,u.setToken(a)})}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}}W(zp,G_,"PgSelect");vk(zp,[$i]);function zo(r,t){return(e,n,...i)=>{const s=[n,...i].map(o=>({type:r,isAll:t,rightSelect:o}));for(const o of s)if(!Bp(e.getSelectedFields(),o.rightSelect.getSelectedFields()))throw new Error("Set operator error (union / intersect / except): selected fields are not the same or are in a different order");return e.addSetOperators(s)}}const Pk=()=>({union:Rk,unionAll:Fk,intersect:Dk,intersectAll:Lk,except:Nk,exceptAll:Bk}),Rk=zo("union",!1),Fk=zo("union",!0),Dk=zo("intersect",!1),Lk=zo("intersect",!0),Nk=zo("except",!1),Bk=zo("except",!0);var H_;H_=St;class Vp{constructor(t){W(this,"dialect");W(this,"dialectConfig");W(this,"$with",(t,e)=>{const 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this.dialect||(this.dialect=new Ea(this.dialectConfig)),this.dialect}}W(Vp,H_,"PgQueryBuilder");var X_;X_=St;class _f{constructor(t,e,n,i,s){W(this,"authToken");this.table=t,this.session=e,this.dialect=n,this.withList=i,this.overridingSystemValue_=s}setToken(t){return this.authToken=t,this}overridingSystemValue(){return this.overridingSystemValue_=!0,this}values(t){if(t=Array.isArray(t)?t:[t],t.length===0)throw new Error("values() must be called with at least one value");const e=t.map(n=>{const i={},s=this.table[It.Symbol.Columns];for(const o of Object.keys(n)){const a=n[o];i[o]=lt(a,Pt)?a:new ci(a,s[o])}return i});return new bf(this.table,e,this.session,this.dialect,this.withList,!1,this.overridingSystemValue_).setToken(this.authToken)}select(t){const e=typeof t=="function"?t(new Vp):t;if(!lt(e,Pt)&&!Bp(this.table[mf],e._.selectedFields))throw new Error("Insert select error: selected fields are not the same or are in a different order compared to the table definition");return new bf(this.table,e,this.session,this.dialect,this.withList,!0)}}W(_f,X_,"PgInsertBuilder");var Y_,q_;class bf extends(q_=$i,Y_=St,q_){constructor(e,n,i,s,o,a,l){super();W(this,"config");W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)));this.session=i,this.dialect=s,this.config={table:e,values:n,withList:o,select:a,overridingSystemValue_:l}}returning(e=this.config.table[It.Symbol.Columns]){return this.config.returningFields=e,this.config.returning=Cs(e),this}onConflictDoNothing(e={}){if(e.target===void 0)this.config.onConflict=Y`do nothing`;else{let n="";n=Array.isArray(e.target)?e.target.map(s=>this.dialect.escapeName(this.dialect.casing.getColumnCasing(s))).join(","):this.dialect.escapeName(this.dialect.casing.getColumnCasing(e.target));const i=e.where?Y` where ${e.where}`:void 0;this.config.onConflict=Y`(${Y.raw(n)})${i} do nothing`}return this}onConflictDoUpdate(e){if(e.where&&(e.targetWhere||e.setWhere))throw new Error('You cannot use both "where" and "targetWhere"/"setWhere" at the same time - "where" is deprecated, use "targetWhere" or "setWhere" instead.');const n=e.where?Y` where ${e.where}`:void 0,i=e.targetWhere?Y` where ${e.targetWhere}`:void 0,s=e.setWhere?Y` where ${e.setWhere}`:void 0,o=this.dialect.buildUpdateSet(this.config.table,DT(this.config.table,e.set));let a="";return a=Array.isArray(e.target)?e.target.map(l=>this.dialect.escapeName(this.dialect.casing.getColumnCasing(l))).join(","):this.dialect.escapeName(this.dialect.casing.getColumnCasing(e.target)),this.config.onConflict=Y`(${Y.raw(a)})${i} do update set ${o}${n}${s}`,this}getSQL(){return this.dialect.buildInsertQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}_prepare(e){return Ur.startActiveSpan("drizzle.prepareQuery",()=>this.session.prepareQuery(this.dialect.sqlToQuery(this.getSQL()),this.config.returning,e,!0))}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}getSelectedFields(){return this.config.returningFields?new Proxy(this.config.returningFields,new or({alias:vs(this.config.table),sqlAliasedBehavior:"alias",sqlBehavior:"error"})):void 0}$dynamic(){return this}}W(bf,Y_,"PgInsert");var Q_,Z_;class QT extends(Z_=$i,Q_=St,Z_){constructor(e,n,i){super();W(this,"config");W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)));this.session=n,this.dialect=i,this.config={view:e}}concurrently(){if(this.config.withNoData!==void 0)throw new Error("Cannot use concurrently and withNoData together");return this.config.concurrently=!0,this}withNoData(){if(this.config.concurrently!==void 0)throw new Error("Cannot use concurrently and withNoData together");return this.config.withNoData=!0,this}getSQL(){return this.dialect.buildRefreshMaterializedViewQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return 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extends(t0=$i,J_=St,t0){constructor(e,n,i,s,o){super();W(this,"config");W(this,"tableName");W(this,"joinsNotNullableMap");W(this,"leftJoin",this.createJoin("left"));W(this,"rightJoin",this.createJoin("right"));W(this,"innerJoin",this.createJoin("inner"));W(this,"fullJoin",this.createJoin("full"));W(this,"authToken");W(this,"execute",e=>this._prepare().execute(e,this.authToken));this.session=i,this.dialect=s,this.config={set:n,table:e,withList:o,joins:[]},this.tableName=fs(e),this.joinsNotNullableMap=typeof this.tableName=="string"?{[this.tableName]:!0}:{}}from(e){const n=e,i=fs(n);return typeof i=="string"&&(this.joinsNotNullableMap[i]=!0),this.config.from=n,this}getTableLikeFields(e){return lt(e,Xr)?e[It.Symbol.Columns]:lt(e,Nr)?e._.selectedFields:e[Qe].selectedFields}createJoin(e){return(n,i)=>{const s=fs(n);if(typeof s=="string"&&this.config.joins.some(o=>o.alias===s))throw new Error(`Alias "${s}" is already used in this query`);if(typeof i=="function"){const o=this.config.from&&!lt(this.config.from,Pt)?this.getTableLikeFields(this.config.from):void 0;i=i(new Proxy(this.config.table[It.Symbol.Columns],new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})),o&&new Proxy(o,new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})))}if(this.config.joins.push({on:i,table:n,joinType:e,alias:s}),typeof s=="string")switch(e){case"left":{this.joinsNotNullableMap[s]=!1;break}case"right":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([o])=>[o,!1])),this.joinsNotNullableMap[s]=!0;break}case"inner":{this.joinsNotNullableMap[s]=!0;break}case"full":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([o])=>[o,!1])),this.joinsNotNullableMap[s]=!1;break}}return this}}where(e){return this.config.where=e,this}returning(e){if(!e&&(e=Object.assign({},this.config.table[It.Symbol.Columns]),this.config.from)){const n=fs(this.config.from);if(typeof 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extends(n0=Pt,r0=St,e0=Symbol.toStringTag,n0){constructor(e){super(Ma.buildEmbeddedCount(e.source,e.filters).queryChunks);W(this,"sql");W(this,"token");W(this,e0,"PgCountBuilder");W(this,"session");this.params=e,this.mapWith(Number),this.session=e.session,this.sql=Ma.buildCount(e.source,e.filters)}static buildEmbeddedCount(e,n){return Y`(select count(*) from ${e}${Y.raw(" where ").if(n)}${n})`}static buildCount(e,n){return Y`select count(*) as count from ${e}${Y.raw(" where ").if(n)}${n};`}setToken(e){return this.token=e,this}then(e,n){return Promise.resolve(this.session.count(this.sql,this.token)).then(e,n)}catch(e){return this.then(void 0,e)}finally(e){return this.then(n=>(e==null||e(),n),n=>{throw e==null||e(),n})}};W(Ma,r0,"PgCountBuilder");let xf=Ma;var i0;i0=St;class KT{constructor(t,e,n,i,s,o,a){this.fullSchema=t,this.schema=e,this.tableNamesMap=n,this.table=i,this.tableConfig=s,this.dialect=o,this.session=a}findMany(t){return new Sf(this.fullSchema,this.schema,this.tableNamesMap,this.table,this.tableConfig,this.dialect,this.session,t||{},"many")}findFirst(t){return new Sf(this.fullSchema,this.schema,this.tableNamesMap,this.table,this.tableConfig,this.dialect,this.session,t?{...t,limit:1}:{limit:1},"first")}}W(KT,i0,"PgRelationalQueryBuilder");var s0,o0;class Sf extends(o0=$i,s0=St,o0){constructor(e,n,i,s,o,a,l,u,c){super();W(this,"authToken");this.fullSchema=e,this.schema=n,this.tableNamesMap=i,this.table=s,this.tableConfig=o,this.dialect=a,this.session=l,this.config=u,this.mode=c}_prepare(e){return Ur.startActiveSpan("drizzle.prepareQuery",()=>{const{query:n,builtQuery:i}=this._toSQL();return this.session.prepareQuery(i,void 0,e,!0,(s,o)=>{const a=s.map(l=>yf(this.schema,this.tableConfig,l,n.selection,o));return this.mode==="first"?a[0]:a})})}prepare(e){return this._prepare(e)}_getQuery(){return this.dialect.buildRelationalQueryWithoutPK({fullSchema:this.fullSchema,schema:this.schema,tableNamesMap:this.tableNamesMap,table:this.table,tableConfig:this.tableConfig,queryConfig:this.config,tableAlias:this.tableConfig.tsName})}getSQL(){return this._getQuery().sql}_toSQL(){const e=this._getQuery(),n=this.dialect.sqlToQuery(e.sql);return{query:e,builtQuery:n}}toSQL(){return this._toSQL().builtQuery}setToken(e){return this.authToken=e,this}execute(){return Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(void 0,this.authToken))}}W(Sf,s0,"PgRelationalQuery");var a0,l0;class JT extends(l0=$i,a0=St,l0){constructor(t,e,n,i){super(),this.execute=t,this.sql=e,this.query=n,this.mapBatchResult=i}getSQL(){return this.sql}getQuery(){return this.query}mapResult(t,e){return e?this.mapBatchResult(t):t}_prepare(){return this}isResponseInArrayMode(){return!1}}W(JT,a0,"PgRaw");var u0;u0=St;class jp{constructor(t,e,n){W(this,"query");W(this,"$with",(t,e)=>{const 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o=="string")switch(e){case"left":{this.joinsNotNullableMap[o]=!1;break}case"right":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([l])=>[l,!1])),this.joinsNotNullableMap[o]=!0;break}case"inner":{this.joinsNotNullableMap[o]=!0;break}case"full":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([l])=>[l,!1])),this.joinsNotNullableMap[o]=!1;break}}return this}}createSetOperator(e,n){return i=>{const s=typeof i=="function"?i(Pk()):i;if(!Bp(this.getSelectedFields(),s.getSelectedFields()))throw new Error("Set operator error (union / intersect / except): selected fields are not the same or are in a different order");return this.config.setOperators.push({type:e,isAll:n,rightSelect:s}),this}}addSetOperators(e){return this.config.setOperators.push(...e),this}where(e){return typeof e=="function"&&(e=e(new Proxy(this.config.fields,new 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this.config.setOperators.length>0?this.config.setOperators.at(-1).offset=e:this.config.offset=e,this}for(e,n={}){return this.config.lockingClause={strength:e,config:n},this}getSQL(){return this.dialect.buildSelectQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}as(e){return new Proxy(new Nr(this.getSQL(),this.config.fields,e),new or({alias:e,sqlAliasedBehavior:"alias",sqlBehavior:"error"}))}getSelectedFields(){return new Proxy(this.config.fields,new or({alias:this.tableName,sqlAliasedBehavior:"alias",sqlBehavior:"error"}))}$dynamic(){return this}}W(qT,j_,"PgSelectQueryBuilder");var G_,W_;class zp extends(W_=qT,G_=St,W_){constructor(){super(...arguments);W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)))}_prepare(e){const{session:n,config:i,dialect:s,joinsNotNullableMap:o,authToken:a}=this;if(!n)throw new Error("Cannot execute a query on a query builder. Please use a database instance instead.");return Ur.startActiveSpan("drizzle.prepareQuery",()=>{const l=Cs(i.fields),u=n.prepareQuery(s.sqlToQuery(this.getSQL()),l,e,!0);return u.joinsNotNullableMap=o,u.setToken(a)})}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}}W(zp,G_,"PgSelect");vk(zp,[$i]);function zo(r,t){return(e,n,...i)=>{const s=[n,...i].map(o=>({type:r,isAll:t,rightSelect:o}));for(const o of s)if(!Bp(e.getSelectedFields(),o.rightSelect.getSelectedFields()))throw new Error("Set operator error (union / intersect / except): selected fields are not the same or are in a different order");return e.addSetOperators(s)}}const Pk=()=>({union:Rk,unionAll:Fk,intersect:Dk,intersectAll:Lk,except:Nk,exceptAll:Bk}),Rk=zo("union",!1),Fk=zo("union",!0),Dk=zo("intersect",!1),Lk=zo("intersect",!0),Nk=zo("except",!1),Bk=zo("except",!0);var H_;H_=St;class Vp{constructor(t){W(this,"dialect");W(this,"dialectConfig");W(this,"$with",(t,e)=>{const 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this.dialect||(this.dialect=new Ea(this.dialectConfig)),this.dialect}}W(Vp,H_,"PgQueryBuilder");var X_;X_=St;class _f{constructor(t,e,n,i,s){W(this,"authToken");this.table=t,this.session=e,this.dialect=n,this.withList=i,this.overridingSystemValue_=s}setToken(t){return this.authToken=t,this}overridingSystemValue(){return this.overridingSystemValue_=!0,this}values(t){if(t=Array.isArray(t)?t:[t],t.length===0)throw new Error("values() must be called with at least one value");const e=t.map(n=>{const i={},s=this.table[It.Symbol.Columns];for(const o of Object.keys(n)){const a=n[o];i[o]=lt(a,Pt)?a:new ci(a,s[o])}return i});return new bf(this.table,e,this.session,this.dialect,this.withList,!1,this.overridingSystemValue_).setToken(this.authToken)}select(t){const e=typeof t=="function"?t(new Vp):t;if(!lt(e,Pt)&&!Bp(this.table[mf],e._.selectedFields))throw new Error("Insert select error: selected fields are not the same or are in a different order compared to the table definition");return new bf(this.table,e,this.session,this.dialect,this.withList,!0)}}W(_f,X_,"PgInsertBuilder");var Y_,q_;class bf extends(q_=$i,Y_=St,q_){constructor(e,n,i,s,o,a,l){super();W(this,"config");W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)));this.session=i,this.dialect=s,this.config={table:e,values:n,withList:o,select:a,overridingSystemValue_:l}}returning(e=this.config.table[It.Symbol.Columns]){return this.config.returningFields=e,this.config.returning=Cs(e),this}onConflictDoNothing(e={}){if(e.target===void 0)this.config.onConflict=Y`do nothing`;else{let n="";n=Array.isArray(e.target)?e.target.map(s=>this.dialect.escapeName(this.dialect.casing.getColumnCasing(s))).join(","):this.dialect.escapeName(this.dialect.casing.getColumnCasing(e.target));const i=e.where?Y` where ${e.where}`:void 0;this.config.onConflict=Y`(${Y.raw(n)})${i} do nothing`}return this}onConflictDoUpdate(e){if(e.where&&(e.targetWhere||e.setWhere))throw new Error('You cannot use both "where" and "targetWhere"/"setWhere" at the same time - "where" is deprecated, use "targetWhere" or "setWhere" instead.');const n=e.where?Y` where ${e.where}`:void 0,i=e.targetWhere?Y` where ${e.targetWhere}`:void 0,s=e.setWhere?Y` where ${e.setWhere}`:void 0,o=this.dialect.buildUpdateSet(this.config.table,DT(this.config.table,e.set));let a="";return a=Array.isArray(e.target)?e.target.map(l=>this.dialect.escapeName(this.dialect.casing.getColumnCasing(l))).join(","):this.dialect.escapeName(this.dialect.casing.getColumnCasing(e.target)),this.config.onConflict=Y`(${Y.raw(a)})${i} do update set ${o}${n}${s}`,this}getSQL(){return this.dialect.buildInsertQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return n}_prepare(e){return Ur.startActiveSpan("drizzle.prepareQuery",()=>this.session.prepareQuery(this.dialect.sqlToQuery(this.getSQL()),this.config.returning,e,!0))}prepare(e){return this._prepare(e)}setToken(e){return this.authToken=e,this}getSelectedFields(){return this.config.returningFields?new Proxy(this.config.returningFields,new or({alias:vs(this.config.table),sqlAliasedBehavior:"alias",sqlBehavior:"error"})):void 0}$dynamic(){return this}}W(bf,Y_,"PgInsert");var Q_,Z_;class QT extends(Z_=$i,Q_=St,Z_){constructor(e,n,i){super();W(this,"config");W(this,"authToken");W(this,"execute",e=>Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(e,this.authToken)));this.session=n,this.dialect=i,this.config={view:e}}concurrently(){if(this.config.withNoData!==void 0)throw new Error("Cannot use concurrently and withNoData together");return this.config.concurrently=!0,this}withNoData(){if(this.config.concurrently!==void 0)throw new Error("Cannot use concurrently and withNoData together");return this.config.withNoData=!0,this}getSQL(){return this.dialect.buildRefreshMaterializedViewQuery(this.config)}toSQL(){const{typings:e,...n}=this.dialect.sqlToQuery(this.getSQL());return 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extends(t0=$i,J_=St,t0){constructor(e,n,i,s,o){super();W(this,"config");W(this,"tableName");W(this,"joinsNotNullableMap");W(this,"leftJoin",this.createJoin("left"));W(this,"rightJoin",this.createJoin("right"));W(this,"innerJoin",this.createJoin("inner"));W(this,"fullJoin",this.createJoin("full"));W(this,"authToken");W(this,"execute",e=>this._prepare().execute(e,this.authToken));this.session=i,this.dialect=s,this.config={set:n,table:e,withList:o,joins:[]},this.tableName=fs(e),this.joinsNotNullableMap=typeof this.tableName=="string"?{[this.tableName]:!0}:{}}from(e){const n=e,i=fs(n);return typeof i=="string"&&(this.joinsNotNullableMap[i]=!0),this.config.from=n,this}getTableLikeFields(e){return lt(e,Xr)?e[It.Symbol.Columns]:lt(e,Nr)?e._.selectedFields:e[Qe].selectedFields}createJoin(e){return(n,i)=>{const s=fs(n);if(typeof s=="string"&&this.config.joins.some(o=>o.alias===s))throw new Error(`Alias "${s}" is already used in this query`);if(typeof i=="function"){const o=this.config.from&&!lt(this.config.from,Pt)?this.getTableLikeFields(this.config.from):void 0;i=i(new Proxy(this.config.table[It.Symbol.Columns],new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})),o&&new Proxy(o,new or({sqlAliasedBehavior:"sql",sqlBehavior:"sql"})))}if(this.config.joins.push({on:i,table:n,joinType:e,alias:s}),typeof s=="string")switch(e){case"left":{this.joinsNotNullableMap[s]=!1;break}case"right":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([o])=>[o,!1])),this.joinsNotNullableMap[s]=!0;break}case"inner":{this.joinsNotNullableMap[s]=!0;break}case"full":{this.joinsNotNullableMap=Object.fromEntries(Object.entries(this.joinsNotNullableMap).map(([o])=>[o,!1])),this.joinsNotNullableMap[s]=!1;break}}return this}}where(e){return this.config.where=e,this}returning(e){if(!e&&(e=Object.assign({},this.config.table[It.Symbol.Columns]),this.config.from)){const n=fs(this.config.from);if(typeof 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extends(n0=Pt,r0=St,e0=Symbol.toStringTag,n0){constructor(e){super(Ma.buildEmbeddedCount(e.source,e.filters).queryChunks);W(this,"sql");W(this,"token");W(this,e0,"PgCountBuilder");W(this,"session");this.params=e,this.mapWith(Number),this.session=e.session,this.sql=Ma.buildCount(e.source,e.filters)}static buildEmbeddedCount(e,n){return Y`(select count(*) from ${e}${Y.raw(" where ").if(n)}${n})`}static buildCount(e,n){return Y`select count(*) as count from ${e}${Y.raw(" where ").if(n)}${n};`}setToken(e){return this.token=e,this}then(e,n){return Promise.resolve(this.session.count(this.sql,this.token)).then(e,n)}catch(e){return this.then(void 0,e)}finally(e){return this.then(n=>(e==null||e(),n),n=>{throw e==null||e(),n})}};W(Ma,r0,"PgCountBuilder");let xf=Ma;var i0;i0=St;class KT{constructor(t,e,n,i,s,o,a){this.fullSchema=t,this.schema=e,this.tableNamesMap=n,this.table=i,this.tableConfig=s,this.dialect=o,this.session=a}findMany(t){return new Sf(this.fullSchema,this.schema,this.tableNamesMap,this.table,this.tableConfig,this.dialect,this.session,t||{},"many")}findFirst(t){return new Sf(this.fullSchema,this.schema,this.tableNamesMap,this.table,this.tableConfig,this.dialect,this.session,t?{...t,limit:1}:{limit:1},"first")}}W(KT,i0,"PgRelationalQueryBuilder");var s0,o0;class Sf extends(o0=$i,s0=St,o0){constructor(e,n,i,s,o,a,l,u,c){super();W(this,"authToken");this.fullSchema=e,this.schema=n,this.tableNamesMap=i,this.table=s,this.tableConfig=o,this.dialect=a,this.session=l,this.config=u,this.mode=c}_prepare(e){return Ur.startActiveSpan("drizzle.prepareQuery",()=>{const{query:n,builtQuery:i}=this._toSQL();return this.session.prepareQuery(i,void 0,e,!0,(s,o)=>{const a=s.map(l=>yf(this.schema,this.tableConfig,l,n.selection,o));return this.mode==="first"?a[0]:a})})}prepare(e){return this._prepare(e)}_getQuery(){return this.dialect.buildRelationalQueryWithoutPK({fullSchema:this.fullSchema,schema:this.schema,tableNamesMap:this.tableNamesMap,table:this.table,tableConfig:this.tableConfig,queryConfig:this.config,tableAlias:this.tableConfig.tsName})}getSQL(){return this._getQuery().sql}_toSQL(){const e=this._getQuery(),n=this.dialect.sqlToQuery(e.sql);return{query:e,builtQuery:n}}toSQL(){return this._toSQL().builtQuery}setToken(e){return this.authToken=e,this}execute(){return Ur.startActiveSpan("drizzle.operation",()=>this._prepare().execute(void 0,this.authToken))}}W(Sf,s0,"PgRelationalQuery");var a0,l0;class JT extends(l0=$i,a0=St,l0){constructor(t,e,n,i){super(),this.execute=t,this.sql=e,this.query=n,this.mapBatchResult=i}getSQL(){return this.sql}getQuery(){return this.query}mapResult(t,e){return e?this.mapBatchResult(t):t}_prepare(){return this}isResponseInArrayMode(){return!1}}W(JT,a0,"PgRaw");var u0;u0=St;class jp{constructor(t,e,n){W(this,"query");W(this,"$with",(t,e)=>{const 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diff --git a/assets/memory-long-term-BsSy-hFO.js b/assets/memory-long-term-fZZgaXdh.js
similarity index 92%
rename from assets/memory-long-term-BsSy-hFO.js
rename to assets/memory-long-term-fZZgaXdh.js
index c52ccd7f789b04d7942277bae6517a511d66dbfc..d768fec4f487ef48bd7e5c587cf3dfe6fa7b7740 100644
--- a/assets/memory-long-term-BsSy-hFO.js
+++ b/assets/memory-long-term-fZZgaXdh.js
@@ -1 +1 @@
-import{d as r,bE as l,q as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-BYewP6KR.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},g={"text-nowrap":"","text-3xl":"","font-semibold":""},h=r({__name:"memory-long-term",setup(y){const i=l(),{t:s}=c();return(b,e)=>{const a=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",g,n(o(s)("settings.pages.modules.memory-long-term.title")),1)])])),[[a]])}}});export{h as default};
+import{d as r,bE as l,q as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-CL4rmUJ-.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},g={"text-nowrap":"","text-3xl":"","font-semibold":""},h=r({__name:"memory-long-term",setup(y){const i=l(),{t:s}=c();return(b,e)=>{const a=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",g,n(o(s)("settings.pages.modules.memory-long-term.title")),1)])])),[[a]])}}});export{h as default};
diff --git a/assets/memory-short-term-BGN7U3OS.js b/assets/memory-short-term-Pucm6_ta.js
similarity index 92%
rename from assets/memory-short-term-BGN7U3OS.js
rename to assets/memory-short-term-Pucm6_ta.js
index f2c57e619636ca2cd85d6417d089740b54d938dd..ded480c6dc91a565c246ff4a1fa783ffff36dbbb 100644
--- a/assets/memory-short-term-BGN7U3OS.js
+++ b/assets/memory-short-term-Pucm6_ta.js
@@ -1 +1 @@
-import{d as a,bE as l,q as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-BYewP6KR.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},y={"text-nowrap":"","text-3xl":"","font-semibold":""},k=a({__name:"memory-short-term",setup(b){const i=l(),{t:s}=c();return(h,e)=>{const r=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",y,n(o(s)("settings.pages.modules.memory-short-term.title")),1)])])),[[r]])}}});export{k as default};
+import{d as a,bE as l,q as c,bw as d,A as m,o as p,c as u,a as t,e as o,D as n}from"./index-CL4rmUJ-.js";const _={flex:"~ row","items-center":"","gap-2":"",initial:{opacity:0,x:10},enter:{opacity:1,x:0},leave:{opacity:0,x:-10},duration:250},x={relative:""},v={absolute:"","left-0":"","top-0":"","translate-y":"[-80%]"},f={text:"neutral-300 dark:neutral-500","text-nowrap":""},y={"text-nowrap":"","text-3xl":"","font-semibold":""},k=a({__name:"memory-short-term",setup(b){const i=l(),{t:s}=c();return(h,e)=>{const r=d("motion");return m((p(),u("div",_,[t("button",{onClick:e[0]||(e[0]=w=>o(i).back())},e[1]||(e[1]=[t("div",{"i-solar:alt-arrow-left-line-duotone":"","text-2xl":""},null,-1)])),t("h1",x,[t("div",v,[t("span",f,n(o(s)("settings.title")),1)]),t("div",y,n(o(s)("settings.pages.modules.memory-short-term.title")),1)])])),[[r]])}}});export{k as default};
diff --git a/assets/messages-DYJkpUp7.js b/assets/messages-UpVa7nD_.js
similarity index 78%
rename from assets/messages-DYJkpUp7.js
rename to assets/messages-UpVa7nD_.js
index dd473fb2d94a8c8bc6dc0450a5effc242abdc439..cbc93307d9f79863450fad5de2c1709c1b15ad3f 100644
--- a/assets/messages-DYJkpUp7.js
+++ b/assets/messages-UpVa7nD_.js
@@ -1 +1 @@
-import{u as m,_ as g,l as _}from"./queues-Cj51JWdx.js";import"./live2d-zip-loader-CvpgOHsT.js";import{d as v,g as t,c as l,o as u,a as e,b,e as x,D as c,bx as k,by as h}from"./index-BYewP6KR.js";import{u as z}from"./queue-DRKK1rL_.js";const w={flex:"","flex-col":"","gap-2":"","p-2":""},y={flex:"","flex-row":"","gap-2":""},S={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},V={"w-full":"",flex:"","flex-row":"","gap-4":""},M={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},E=v({__name:"messages",setup(Q){const s=t(""),d=t([]),a=t(!1),f=z({handlers:[async i=>{d.value.push(i.data)}]}),r=m(f);async function p(){a.value=!0,r.add(s.value),r.add(_),s.value="",a.value=!1}return(i,n)=>(u(),l("div",w,[e("div",y,[b(x(g),{modelValue:s.value,"onUpdate:modelValue":n[0]||(n[0]=o=>s.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:p},null,8,["modelValue"]),e("button",S,c(a.value?"Processing...":"Send"),1)]),e("div",V,[e("div",M,[n[1]||(n[1]=e("h3",{"font-semibold":""}," TTS Message ",-1)),(u(!0),l(k,null,h(d.value,o=>(u(),l("div",{key:o},[e("div",null,c(o),1)]))),128))])])]))}});export{E as default};
+import{u as m,_ as g,l as _}from"./queues-D3Ic2N1b.js";import"./live2d-zip-loader-DFrBymqv.js";import{d as v,g as t,c as l,o as u,a as e,b,e as x,D as c,bx as k,by as h}from"./index-CL4rmUJ-.js";import{u as z}from"./queue-DCQeV-U1.js";const w={flex:"","flex-col":"","gap-2":"","p-2":""},y={flex:"","flex-row":"","gap-2":""},S={"rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-4":""},V={"w-full":"",flex:"","flex-row":"","gap-4":""},M={"w-full":"","rounded-lg":"",bg:"zinc-100 dark:zinc-700","p-2":""},E=v({__name:"messages",setup(Q){const s=t(""),d=t([]),a=t(!1),f=z({handlers:[async i=>{d.value.push(i.data)}]}),r=m(f);async function p(){a.value=!0,r.add(s.value),r.add(_),s.value="",a.value=!1}return(i,n)=>(u(),l("div",w,[e("div",y,[b(x(g),{modelValue:s.value,"onUpdate:modelValue":n[0]||(n[0]=o=>s.value=o),placeholder:"Message",p:"2",bg:"zinc-100 dark:zinc-700","w-full":"","rounded-lg":"","outline-none":"",onSubmit:p},null,8,["modelValue"]),e("button",S,c(a.value?"Processing...":"Send"),1)]),e("div",V,[e("div",M,[n[1]||(n[1]=e("h3",{"font-semibold":""}," TTS Message ",-1)),(u(!0),l(k,null,h(d.value,o=>(u(),l("div",{key:o},[e("div",null,c(o),1)]))),128))])])]))}});export{E as default};
diff --git a/assets/microsoft-speech-CDHTXaj-.js b/assets/microsoft-speech-Cf4yrOLH.js
similarity index 73%
rename from assets/microsoft-speech-CDHTXaj-.js
rename to assets/microsoft-speech-Cf4yrOLH.js
index 6ee5f10b6a5282b2ee0f24a2669f469c2d7132f5..25a970714ae3cc4f6250959f0742b9990f51859a 100644
--- a/assets/microsoft-speech-CDHTXaj-.js
+++ b/assets/microsoft-speech-Cf4yrOLH.js
@@ -1 +1 @@
-import{_ as P}from"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./live2d-zip-loader-CvpgOHsT.js";import{d as q,q as B,s as K,g as m,h as p,x as L,o as M,y as f,b as g,e as i}from"./index-BYewP6KR.js";import{u as T}from"./providers-CFIOZO6n.js";import{u as z}from"./speech-CLmksxkl.js";import{_ as E,a as F,b as G}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-lVYyoUny.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-CGhOEjXF.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";const t="microsoft-speech",x="v1",ee=q({__name:"microsoft-speech",setup(H){const{t:h}=B(),U={pitch:0,speed:1,volume:0},r=z(),d=T(),{providers:n}=K(d),u=m(0),b=m(1),_=m(0),c=p({get:()=>{var o;return((o=n.value[t])==null?void 0:o.region)||"eastasia"},set:o=>{n.value[t]||(n.value[t]={}),n.value[t].region=o}}),C=p(()=>{var o;return!!((o=n.value[t])!=null&&o.apiKey)}),y=p(()=>r.availableVoices[t]||[]),k=p(()=>r.availableLanguages);async function $(o,e,a){const l=d.getProviderInstance(t);if(!l)throw new Error("Failed to initialize speech provider");const s=d.getProviderConfig(t),S=s.model||x,w={...s,region:c.value,disableSsml:!a};if(!a&&e){const V=y.value.find(v=>v.id===e);if(V){const v=r.generateSSML(o,V,{...s,pitch:u.value});return await r.speech(l,S,v,e,w)}}return await r.speech(l,S,o,e,w)}return(o,e)=>(M(),L(i(G),{"provider-id":t,"default-model":x,"additional-settings":U},{"basic-settings":f(()=>[g(i(P),{modelValue:c.value,"onUpdate:modelValue":e[0]||(e[0]=a=>c.value=a),label:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.label"),description:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.description"),placeholder:"eastasia",required:"",type:"text"},null,8,["modelValue","label","description"])]),"voice-settings":f(({voiceSettings:a,updateVoiceSettings:l})=>[g(i(F),{pitch:u.value,"onUpdate:pitch":e[1]||(e[1]=s=>u.value=s),speed:b.value,"onUpdate:speed":e[2]||(e[2]=s=>b.value=s),volume:_.value,"onUpdate:volume":e[3]||(e[3]=s=>_.value=s),settings:a,"show-pitch":!0,"show-speed":!0,"show-volume":!0,onUpdate:l},null,8,["pitch","speed","volume","settings","onUpdate"])]),playground:f(()=>[g(i(E),{"available-voices":y.value,"available-languages":k.value,"generate-speech":$,"api-key-configured":C.value,"default-text":"Hello! This is a test of the Microsoft Speech synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{ee as default};
+import{_ as P}from"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./live2d-zip-loader-DFrBymqv.js";import{d as q,q as B,s as K,g as m,h as p,x as L,o as M,y as f,b as g,e as i}from"./index-CL4rmUJ-.js";import{u as T}from"./providers-BHCrT0RZ.js";import{u as z}from"./speech-Ae5ywnpY.js";import{_ as E,a as F,b as G}from"./SpeechVoiceSettings.vue_vue_type_script_setup_true_lang-8IXQG3Jk.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";import"./TestDummyMarker.vue_vue_type_script_setup_true_lang-D5aCIkT4.js";import"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";const t="microsoft-speech",x="v1",ee=q({__name:"microsoft-speech",setup(H){const{t:h}=B(),U={pitch:0,speed:1,volume:0},r=z(),d=T(),{providers:n}=K(d),u=m(0),b=m(1),_=m(0),c=p({get:()=>{var o;return((o=n.value[t])==null?void 0:o.region)||"eastasia"},set:o=>{n.value[t]||(n.value[t]={}),n.value[t].region=o}}),C=p(()=>{var o;return!!((o=n.value[t])!=null&&o.apiKey)}),y=p(()=>r.availableVoices[t]||[]),k=p(()=>r.availableLanguages);async function $(o,e,a){const l=d.getProviderInstance(t);if(!l)throw new Error("Failed to initialize speech provider");const s=d.getProviderConfig(t),S=s.model||x,w={...s,region:c.value,disableSsml:!a};if(!a&&e){const V=y.value.find(v=>v.id===e);if(V){const v=r.generateSSML(o,V,{...s,pitch:u.value});return await r.speech(l,S,v,e,w)}}return await r.speech(l,S,o,e,w)}return(o,e)=>(M(),L(i(G),{"provider-id":t,"default-model":x,"additional-settings":U},{"basic-settings":f(()=>[g(i(P),{modelValue:c.value,"onUpdate:modelValue":e[0]||(e[0]=a=>c.value=a),label:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.label"),description:i(h)("settings.pages.providers.provider.microsoft-speech.fields.field.region.description"),placeholder:"eastasia",required:"",type:"text"},null,8,["modelValue","label","description"])]),"voice-settings":f(({voiceSettings:a,updateVoiceSettings:l})=>[g(i(F),{pitch:u.value,"onUpdate:pitch":e[1]||(e[1]=s=>u.value=s),speed:b.value,"onUpdate:speed":e[2]||(e[2]=s=>b.value=s),volume:_.value,"onUpdate:volume":e[3]||(e[3]=s=>_.value=s),settings:a,"show-pitch":!0,"show-speed":!0,"show-volume":!0,onUpdate:l},null,8,["pitch","speed","volume","settings","onUpdate"])]),playground:f(()=>[g(i(E),{"available-voices":y.value,"available-languages":k.value,"generate-speech":$,"api-key-configured":C.value,"default-text":"Hello! This is a test of the Microsoft Speech synthesis."},null,8,["available-voices","available-languages","api-key-configured"])]),_:1}))}});export{ee as default};
diff --git a/assets/mistral-ai-pL5Kxw61.js b/assets/mistral-ai-Cjk87FuW.js
similarity index 67%
rename from assets/mistral-ai-pL5Kxw61.js
rename to assets/mistral-ai-Cjk87FuW.js
index 7c1c6e0058bcfcd807d62871a7c3ff264b82dad6..22cb4e202f4f304a041654d05f4bea8db54a93be 100644
--- a/assets/mistral-ai-pL5Kxw61.js
+++ b/assets/mistral-ai-Cjk87FuW.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as U,q as V,bE as y,s as $,h as v,l as k,w as K,x as h,o as x,y as m,b as l,e as t}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="mistral-ai",H=U({__name:"mistral-ai",setup(S){const{t:p}=V(),_=y(),d=w(),{providers:o}=$(d),n=v(()=>d.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;d.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:m(()=>[l(t(N),null,{default:m(()=>[l(t(P),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"mis-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(C),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.mistral.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as U,q as V,bE as y,s as $,h as v,l as k,w as K,x as h,o as x,y as m,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="mistral-ai",H=U({__name:"mistral-ai",setup(S){const{t:p}=V(),_=y(),d=w(),{providers:o}=$(d),n=v(()=>d.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;d.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:m(()=>[l(t(N),null,{default:m(()=>[l(t(P),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"mis-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(C),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.mistral.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
diff --git a/assets/moonshot-ai-COGUtX1e.js b/assets/moonshot-ai-B8RKb1HT.js
similarity index 67%
rename from assets/moonshot-ai-COGUtX1e.js
rename to assets/moonshot-ai-B8RKb1HT.js
index aef87d6b013964af9fac39036a8be1f8a48cdb7b..adda942dde0bdac4c66a59c762e4708ab830d922 100644
--- a/assets/moonshot-ai-COGUtX1e.js
+++ b/assets/moonshot-ai-B8RKb1HT.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as h,q as U,bE as V,s as y,h as v,l as $,w as k,x as K,o as x,y as m,b as l,e as t}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="moonshot-ai",H=h({__name:"moonshot-ai",setup(B){const{t:p}=U(),_=V(),d=w(),{providers:o}=y(d),n=v(()=>d.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;d.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),k([i,r],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var c,f;return x(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:m(()=>[l(t(P),null,{default:m(()=>[l(t(R),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"ms-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=u=>r.value=u),placeholder:"https://api.moonshot.cn/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as h,q as U,bE as V,s as y,h as v,l as $,w as k,x as K,o as x,y as m,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="moonshot-ai",H=h({__name:"moonshot-ai",setup(B){const{t:p}=U(),_=V(),d=w(),{providers:o}=y(d),n=v(()=>d.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,s;d.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((s=o.value[a])==null?void 0:s.baseUrl)||""}),k([i,r],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,s)=>{var c,f;return x(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:m(()=>[l(t(P),null,{default:m(()=>[l(t(R),{title:t(p)("settings.pages.providers.common.section.basic.title"),description:t(p)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:m(()=>{var u;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"ms-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(p)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=u=>r.value=u),placeholder:"https://api.moonshot.cn/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
diff --git a/assets/novita-ai-CfYWAApi.js b/assets/novita-ai-CVRJyGOQ.js
similarity index 67%
rename from assets/novita-ai-CfYWAApi.js
rename to assets/novita-ai-CVRJyGOQ.js
index 59edbfcf076b85d349aab1ba9c96b98c2fd26785..b1875ea5190d704da4cdab15f3a227e7cf8b03e6 100644
--- a/assets/novita-ai-CfYWAApi.js
+++ b/assets/novita-ai-CVRJyGOQ.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as U,q as V,bE as y,s as $,h as m,l as k,w as K,x as h,o as x,y as p,b as l,e as t}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="novita-ai",H=U({__name:"novita-ai",setup(S){const{t:d}=V(),_=y(),v=w(),{providers:o}=$(v),n=m(()=>v.getProviderMetadata(a)),s=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;v.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"nvt-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.novita.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as U,q as V,bE as y,s as $,h as m,l as k,w as K,x as h,o as x,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";import{_ as z,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="novita-ai",H=U({__name:"novita-ai",setup(S){const{t:d}=V(),_=y(),v=w(),{providers:o}=$(v),n=m(()=>v.getProviderMetadata(a)),s=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=m({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});k(()=>{var e,i;v.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),K([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return x(),h(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(M),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"nvt-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.novita.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
diff --git a/assets/ollama-8aEB11fY.js b/assets/ollama-BNerp7db.js
similarity index 88%
rename from assets/ollama-8aEB11fY.js
rename to assets/ollama-BNerp7db.js
index 7a3193e4801896b22a573ab397faa342c421e95f..fbdddd60fd32f84b781180c5c56c4b2570569040 100644
--- a/assets/ollama-8aEB11fY.js
+++ b/assets/ollama-BNerp7db.js
@@ -1 +1 @@
-import{_ as P}from"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";import{d as K,bK as x,bL as U,c as g,o as f,b as m,g as $,w as C,bw as N,a as _,A as D,bH as O,C as R,D as M,bx as S,by as z,q as I,bE as A,s as E,h as q,l as F,c8 as L,x as T,y as b,e as t}from"./index-BYewP6KR.js";import"./live2d-zip-loader-CvpgOHsT.js";import{u as H}from"./providers-CFIOZO6n.js";import{a as j,_ as G}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as J,a as Q}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as W}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";const X={flex:"~ gap-2"},Y=K({__name:"InputKeyValue",props:x({name:null,keyPlaceholder:null,valuePlaceholder:null},{propertyKey:{required:!0},propertyKeyModifiers:{},propertyValue:{required:!0},propertyValueModifiers:{}}),emits:["update:propertyKey","update:propertyValue"],setup(v){const o=v,s=U(v,"propertyKey"),u=U(v,"propertyValue");return(r,a)=>(f(),g("div",X,[m(P,{modelValue:s.value,"onUpdate:modelValue":a[0]||(a[0]=n=>s.value=n),placeholder:o.keyPlaceholder,class:"w-1/2"},null,8,["modelValue","placeholder"]),m(P,{modelValue:u.value,"onUpdate:modelValue":a[1]||(a[1]=n=>u.value=n),placeholder:o.valuePlaceholder,class:"w-1/2"},null,8,["modelValue","placeholder"])]))}}),Z={"max-w-full":""},ee={flex:"~ col gap-2"},le={class:"flex items-center gap-1 text-sm font-medium"},ae={key:0,class:"text-red-500"},te={class:"text-xs text-neutral-500 dark:text-neutral-400","text-nowrap":""},oe={flex:"~ col 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+import{_ as P}from"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";import{d as K,bK as x,bL as U,c as g,o as f,b as m,g as $,w as C,bw as N,a as _,A as D,bH as O,C as R,D as M,bx as S,by as z,q as I,bE as A,s as E,h as q,l as F,c8 as L,x as T,y as b,e as t}from"./index-CL4rmUJ-.js";import"./live2d-zip-loader-DFrBymqv.js";import{u as H}from"./providers-BHCrT0RZ.js";import{a as j,_ as G}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as J,a as Q}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as W}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";const X={flex:"~ 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diff --git a/assets/openai-CgoRZ1EW.js b/assets/openai-CFF4hUNa.js
similarity index 68%
rename from assets/openai-CgoRZ1EW.js
rename to assets/openai-CFF4hUNa.js
index 4d083bcdd16687d8c72fd0a8818f21d1df986b21..8b4050b40c3a99dbfc8f83bf1373cf0d3ebcc9b2 100644
--- a/assets/openai-CgoRZ1EW.js
+++ b/assets/openai-CFF4hUNa.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as h,q as U,bE as V,s as k,h as v,l as y,w as $,x as K,o as x,y as p,b as l,e as t}from"./index-BYewP6KR.js";import{u as I}from"./providers-CFIOZO6n.js";import{_ as w,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as R,a as S}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as z}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const e="openai",H=h({__name:"openai",setup(A){const{t:u}=U(),_=V(),c=I(),{providers:a}=k(c),m=v(()=>c.getProviderMetadata(e)),i=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.apiKey)||""},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].apiKey=o}}),r=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.baseUrl)||"https://api.openai.com/v1/"},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].baseUrl=o}});y(()=>{var o,s;a.value[e]||(a.value[e]={baseUrl:"https://api.openai.com/v1/"}),i.value=((o=a.value[e])==null?void 0:o.apiKey)||"",r.value=((s=a.value[e])==null?void 0:s.baseUrl)||"https://api.openai.com/v1/"}),$([i,r],()=>{a.value[e]={...a.value[e],apiKey:i.value,baseUrl:r.value||"https://api.openai.com/v1/"}});function b(){a.value[e]={baseUrl:"https://api.openai.com/v1/"}}return(o,s)=>{var d,f;return x(),K(t(z),{"provider-name":((d=m.value)==null?void 0:d.localizedName)||"OpenAI","provider-icon":(f=m.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(R),null,{default:p(()=>[l(t(S),{title:t(u)("settings.pages.providers.common.section.basic.title"),description:t(u)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var n;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":((n=m.value)==null?void 0:n.localizedName)||"OpenAI",placeholder:"sk-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(w),{title:t(u)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=n=>r.value=n),placeholder:"https://api.openai.com/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as h,q as U,bE as V,s as k,h as v,l as y,w as $,x as K,o as x,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as I}from"./providers-BHCrT0RZ.js";import{_ as w,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as R,a as S}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as z}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const e="openai",H=h({__name:"openai",setup(A){const{t:u}=U(),_=V(),c=I(),{providers:a}=k(c),m=v(()=>c.getProviderMetadata(e)),i=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.apiKey)||""},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].apiKey=o}}),r=v({get:()=>{var o;return((o=a.value[e])==null?void 0:o.baseUrl)||"https://api.openai.com/v1/"},set:o=>{a.value[e]||(a.value[e]={}),a.value[e].baseUrl=o}});y(()=>{var o,s;a.value[e]||(a.value[e]={baseUrl:"https://api.openai.com/v1/"}),i.value=((o=a.value[e])==null?void 0:o.apiKey)||"",r.value=((s=a.value[e])==null?void 0:s.baseUrl)||"https://api.openai.com/v1/"}),$([i,r],()=>{a.value[e]={...a.value[e],apiKey:i.value,baseUrl:r.value||"https://api.openai.com/v1/"}});function b(){a.value[e]={baseUrl:"https://api.openai.com/v1/"}}return(o,s)=>{var d,f;return x(),K(t(z),{"provider-name":((d=m.value)==null?void 0:d.localizedName)||"OpenAI","provider-icon":(f=m.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(R),null,{default:p(()=>[l(t(S),{title:t(u)("settings.pages.providers.common.section.basic.title"),description:t(u)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var n;return[l(t(N),{modelValue:i.value,"onUpdate:modelValue":s[0]||(s[0]=g=>i.value=g),"provider-name":((n=m.value)==null?void 0:n.localizedName)||"OpenAI",placeholder:"sk-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(w),{title:t(u)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":s[1]||(s[1]=n=>r.value=n),placeholder:"https://api.openai.com/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
diff --git a/assets/openrouter-ai-Boprybwg.js b/assets/openrouter-ai-4M13n7g5.js
similarity index 70%
rename from assets/openrouter-ai-Boprybwg.js
rename to assets/openrouter-ai-4M13n7g5.js
index 0737a276a73eceb502db2ae5a05fb3620d8bfa10..16c9b60b9cc5dde206399323256c136cf138c292 100644
--- a/assets/openrouter-ai-Boprybwg.js
+++ b/assets/openrouter-ai-4M13n7g5.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as V,q as k,bE as y,s as $,h as _,l as K,w as O,x as h,o as x,y as m,b as d,e as l}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="openrouter-ai",J=V({__name:"openrouter-ai",setup(B){const{t:c}=k(),b=y(),f=w(),{providers:o}=$(f),s=_(()=>f.getProviderMetadata(a)),i=_({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),n=_({get:()=>{var e,t,r;return((e=o.value[a])==null?void 0:e.baseUrl)||((r=(t=s.value)==null?void 0:t.defaultOptions)==null?void 0:r.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});K(()=>{var e,t,r,u;f.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",n.value=((t=o.value[a])==null?void 0:t.baseUrl)||((u=(r=s.value)==null?void 0:r.defaultOptions)==null?void 0:u.baseUrl)||""}),O([i,n],()=>{var e,t;o.value[a]={...o.value[a],apiKey:i.value,baseUrl:n.value||((t=(e=s.value)==null?void 0:e.defaultOptions)==null?void 0:t.baseUrl)||""}});function U(){var e;o.value[a]={...(e=s.value)==null?void 0:e.defaultOptions}}return(e,t)=>{var r,u;return x(),h(l(S),{"provider-name":(r=s.value)==null?void 0:r.localizedName,"provider-icon":(u=s.value)==null?void 0:u.icon,"on-back":()=>l(b).back()},{default:m(()=>[d(l(P),null,{default:m(()=>[d(l(R),{title:l(c)("settings.pages.providers.common.section.basic.title"),description:l(c)("settings.pages.providers.common.section.basic.description"),"on-reset":U},{default:m(()=>{var p;return[d(l(N),{modelValue:i.value,"onUpdate:modelValue":t[0]||(t[0]=v=>i.value=v),"provider-name":(p=s.value)==null?void 0:p.localizedName,placeholder:"sk-or-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),d(l(z),{title:l(c)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>{var p,v;return[d(l(M),{modelValue:n.value,"onUpdate:modelValue":t[1]||(t[1]=g=>n.value=g),placeholder:((v=(p=s.value)==null?void 0:p.defaultOptions)==null?void 0:v.baseUrl)||""},null,8,["modelValue","placeholder"])]}),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{J as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as V,q as k,bE as y,s as $,h as _,l as K,w as O,x as h,o as x,y as m,b as d,e as l}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="openrouter-ai",J=V({__name:"openrouter-ai",setup(B){const{t:c}=k(),b=y(),f=w(),{providers:o}=$(f),s=_(()=>f.getProviderMetadata(a)),i=_({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),n=_({get:()=>{var e,t,r;return((e=o.value[a])==null?void 0:e.baseUrl)||((r=(t=s.value)==null?void 0:t.defaultOptions)==null?void 0:r.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});K(()=>{var e,t,r,u;f.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",n.value=((t=o.value[a])==null?void 0:t.baseUrl)||((u=(r=s.value)==null?void 0:r.defaultOptions)==null?void 0:u.baseUrl)||""}),O([i,n],()=>{var e,t;o.value[a]={...o.value[a],apiKey:i.value,baseUrl:n.value||((t=(e=s.value)==null?void 0:e.defaultOptions)==null?void 0:t.baseUrl)||""}});function U(){var e;o.value[a]={...(e=s.value)==null?void 0:e.defaultOptions}}return(e,t)=>{var r,u;return x(),h(l(S),{"provider-name":(r=s.value)==null?void 0:r.localizedName,"provider-icon":(u=s.value)==null?void 0:u.icon,"on-back":()=>l(b).back()},{default:m(()=>[d(l(P),null,{default:m(()=>[d(l(R),{title:l(c)("settings.pages.providers.common.section.basic.title"),description:l(c)("settings.pages.providers.common.section.basic.description"),"on-reset":U},{default:m(()=>{var p;return[d(l(N),{modelValue:i.value,"onUpdate:modelValue":t[0]||(t[0]=v=>i.value=v),"provider-name":(p=s.value)==null?void 0:p.localizedName,placeholder:"sk-or-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),d(l(z),{title:l(c)("settings.pages.providers.common.section.advanced.title")},{default:m(()=>{var p,v;return[d(l(M),{modelValue:n.value,"onUpdate:modelValue":t[1]||(t[1]=g=>n.value=g),placeholder:((v=(p=s.value)==null?void 0:p.defaultOptions)==null?void 0:v.baseUrl)||""},null,8,["modelValue","placeholder"])]}),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{J as default};
diff --git a/assets/providers-BHCrT0RZ.js b/assets/providers-BHCrT0RZ.js
new file mode 100644
index 0000000000000000000000000000000000000000..f4c13032e724deb0fbbca198de5583d06ba2d8c5
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+++ b/assets/providers-BHCrT0RZ.js
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index 44bee4752f7fd58ef8e1e5b89b6c0323793a3cc4..0000000000000000000000000000000000000000
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f({...D(a.apiKey.trim(),a.baseUrl.trim()).model()})).map(i=>({id:i.id,name:i.id,provider:"fireworks-ai",description:"",contextLength:0,deprecated:!1}))}},"microsoft-speech":{id:"microsoft-speech",nameKey:"settings.pages.providers.provider.microsoft-speech.title",name:"Microsoft / Azure Speech",descriptionKey:"settings.pages.providers.provider.microsoft-speech.description",description:"speech.microsoft.com",iconColor:"i-lobe-icons:microsoft-color",defaultOptions:{baseUrl:"https://unspeech.hyp3r.link/v1/"},createProvider:a=>Q(a.apiKey.trim(),a.baseUrl.trim()),capabilities:{listModels:async()=>[{id:"v1",name:"v1",provider:"microsoft-speech",description:"",contextLength:0,deprecated:!1}],listVoices:async a=>{const i=Q(a.apiKey.trim(),a.baseUrl.trim());return(await Z({...i.voice({region:a.region})})).map(o=>{var _;return{id:o.id,name:o.name,provider:"microsoft-speech",previewURL:o.preview_audio_url,languages:o.languages,gender:(_=o.labels)==null?void 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l=s[a];if(!l)return[];M.value[a]=!0,w.value[a]=null;try{const o=l.capabilities.listModels?await l.capabilities.listModels(i):[];return c.value[a]=o.map(_=>({id:_.id,name:_.name,description:_.description,contextLength:_.contextLength,deprecated:_.deprecated,provider:a})),c.value[a]}catch(o){return console.error(`Error fetching models for ${a}:`,o),w.value[a]=o instanceof Error?o.message:"Unknown error",[]}finally{M.value[a]=!1}}function S(a){return c.value[a]||[]}const q=x(()=>{const a=[];for(const i of g.value)a.push(...c.value[i]||[]);return a});async function ae(){for(const a of g.value)s[a].capabilities.listModels&&await P(a)}function L(a){const i=s[a];if(!i)throw new Error(`Provider metadata for ${a} not found`);return{...i,localizedName:r(i.nameKey,i.name),localizedDescription:r(i.descriptionKey,i.description)}}const re=x(()=>Object.values(s).map(a=>({...a,localizedName:r(a.nameKey,a.name),localizedDescription:r(a.descriptionKey,a.description),configured:t.value[a.id]||!1})));function K(a){const i=e.value[a];if(!i)throw new Error(`Provider credentials for ${a} not found`);const l=s[a];if(!l)throw new Error(`Provider metadata for ${a} not found`);try{return l.createProvider(i)}catch(o){throw console.error(`Error creating provider instance for ${a}:`,o),o}}const E=x(()=>g.value.map(a=>L(a))),ie=x(()=>E.value.filter(a=>{const i=K(a.id);return"chat"in i&&typeof i.chat=="function"})),ne=x(()=>E.value.filter(a=>{const i=K(a.id);return"transcription"in i&&typeof i.transcription=="function"})),te=x(()=>E.value.filter(a=>{const i=K(a.id);return"speech"in i&&typeof i.speech=="function"}));function se(a){return 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diff --git a/assets/queue-DRKK1rL_.js b/assets/queue-DCQeV-U1.js
similarity index 91%
rename from assets/queue-DRKK1rL_.js
rename to assets/queue-DCQeV-U1.js
index 5d713ca544b7a8342946f71a5e0c5a7afc02820e..1ce3137b4b145fcf9e36c73811bf2d5cf23cb454 100644
--- a/assets/queue-DRKK1rL_.js
+++ b/assets/queue-DCQeV-U1.js
@@ -1 +1 @@
-import{g as l}from"./index-BYewP6KR.js";function m(f){const t=l([]),a=l(!1),d={add:[],pick:[],processing:[],error:[],processed:[],done:[]},s={};function c(n,e){d[n].push(e)}function r(n,...e){d[n].forEach(i=>{i(...e)})}function h(n,e){s[n]=s[n]||[],s[n].push(e)}function p(n,...e){(s[n]||[]).forEach(i=>{i(...e)})}async function v(n){t.value.push(n),r("add",n)}function g(){const n=t.value.shift();if(n)return r("pick",n),n}async function u(){if(a.value)return;const n=g();if(n){a.value=!0;for(const e of f.handlers){r("processing",n,e);try{const o=await e({data:n,itemsToBeProcessed:()=>t.value.length,emit:p});r("processed",n,o,e)}catch(o){r("error",n,o,e);continue}}a.value=!1,r("done",n),t.value.length>0&&u()}}return c("add",u),c("done",u),{add:v,on:c,onHandlerEvent:h,queue:t}}export{m as u};
+import{g as l}from"./index-CL4rmUJ-.js";function m(f){const t=l([]),a=l(!1),d={add:[],pick:[],processing:[],error:[],processed:[],done:[]},s={};function c(n,e){d[n].push(e)}function r(n,...e){d[n].forEach(i=>{i(...e)})}function h(n,e){s[n]=s[n]||[],s[n].push(e)}function p(n,...e){(s[n]||[]).forEach(i=>{i(...e)})}async function v(n){t.value.push(n),r("add",n)}function g(){const n=t.value.shift();if(n)return r("pick",n),n}async function u(){if(a.value)return;const n=g();if(n){a.value=!0;for(const e of f.handlers){r("processing",n,e);try{const o=await e({data:n,itemsToBeProcessed:()=>t.value.length,emit:p});r("processed",n,o,e)}catch(o){r("error",n,o,e);continue}}a.value=!1,r("done",n),t.value.length>0&&u()}}return c("add",u),c("done",u),{add:v,on:c,onHandlerEvent:h,queue:t}}export{m as u};
diff --git a/assets/queue-BTScdVVl.js b/assets/queue-DOUpDv6R.js
similarity index 90%
rename from assets/queue-BTScdVVl.js
rename to assets/queue-DOUpDv6R.js
index cdb61f32811f6b38bdd23249f9ce6b734722f1a3..db672f33649242f1b4757c22f7f891ec2d39e051 100644
--- a/assets/queue-BTScdVVl.js
+++ b/assets/queue-DOUpDv6R.js
@@ -1 +1 @@
-import{u as o}from"./queue-DRKK1rL_.js";import{d as v,g as h,l as g,c as k,o as w,a as I}from"./index-BYewP6KR.js";const Q=v({__name:"queue",setup(P){function i(e){return new Promise(a=>setTimeout(a,e))}const n=h(""),d=o({handlers:[async e=>{console.log("ready to play speech audio for",e)}]}),u=o({handlers:[async e=>{console.log("ready to stream speech audio for",e),d.add(e.data)}]}),l=o({handlers:[async e=>{const a=[".","?","!"];let s=!1;for(const t of a){if(!e.data.includes(t))continue;const r=e.data.indexOf(t),p=e.data.slice(0,r+1),y=e.data.slice(r+1);n.value+=p,u.add(n.value.trim()),n.value=y,s=!0}s||(n.value+=e.data)}]}),c=["Hello"," N","eko","! I"," am"," an"," AI"," assistant"," trained"," to"," help"," with"," a"," variety"," of"," tasks"," such"," as"," answering"," questions",","," providing"," information",","," giving"," recommendations",","," and"," more",". How"," can"," I"," assist"," you"," today","?","Hello"," N","eko",","," I"," am"," an"," AI"," assistant","."," I"," can"," help"," answer"," questions",","," provide"," information",","," assist"," with"," tasks",","," and"," engage"," in"," conversation","."," How"," can"," I"," assist"," you"," today","?"];async function f(){for(const e of c)await i(100),l.add(e)}async function m(){f()}return g(()=>{m()}),(e,a)=>(w(),k("div",null,a[0]||(a[0]=[I("div",null,null,-1)])))}});export{Q as default};
+import{u as o}from"./queue-DCQeV-U1.js";import{d as v,g as h,l as g,c as k,o as w,a as I}from"./index-CL4rmUJ-.js";const Q=v({__name:"queue",setup(P){function i(e){return new Promise(a=>setTimeout(a,e))}const n=h(""),d=o({handlers:[async e=>{console.log("ready to play speech audio for",e)}]}),u=o({handlers:[async e=>{console.log("ready to stream speech audio for",e),d.add(e.data)}]}),l=o({handlers:[async e=>{const a=[".","?","!"];let s=!1;for(const t of a){if(!e.data.includes(t))continue;const r=e.data.indexOf(t),p=e.data.slice(0,r+1),y=e.data.slice(r+1);n.value+=p,u.add(n.value.trim()),n.value=y,s=!0}s||(n.value+=e.data)}]}),c=["Hello"," N","eko","! I"," am"," an"," AI"," assistant"," trained"," to"," help"," with"," a"," variety"," of"," tasks"," such"," as"," answering"," questions",","," providing"," information",","," giving"," recommendations",","," and"," more",". How"," can"," I"," assist"," you"," today","?","Hello"," N","eko",","," I"," am"," an"," AI"," assistant","."," I"," can"," help"," answer"," questions",","," provide"," information",","," assist"," with"," tasks",","," and"," engage"," in"," conversation","."," How"," can"," I"," assist"," you"," today","?"];async function f(){for(const e of c)await i(100),l.add(e)}async function m(){f()}return g(()=>{m()}),(e,a)=>(w(),k("div",null,a[0]||(a[0]=[I("div",null,null,-1)])))}});export{Q as default};
diff --git a/assets/queues-Cj51JWdx.js b/assets/queues-D3Ic2N1b.js
similarity index 89%
rename from assets/queues-Cj51JWdx.js
rename to assets/queues-D3Ic2N1b.js
index 8f9c57e62d45adcfc62dc2c161f2a500d53776b3..660a95923aca6ec7bd01634e9043bb528e2db1ee 100644
--- a/assets/queues-Cj51JWdx.js
+++ b/assets/queues-D3Ic2N1b.js
@@ -1 +1 @@
-import{d as m,bK as p,bL as v,g as u,w as y,A as k,bF as w,o as b,c as h,n as M}from"./index-BYewP6KR.js";import{j as f}from"./live2d-zip-loader-CvpgOHsT.js";import{u as l}from"./queue-DRKK1rL_.js";const D=m({__name:"BasicTextarea",props:{modelValue:{default:""},modelModifiers:{}},emits:p(["submit"],["update:modelValue"]),setup(o,{emit:n}){const e=n,t=v(o,"modelValue"),a=u(),s=u("auto");function i(r){r.code==="Enter"&&!r.shiftKey&&(r.preventDefault(),e("submit",t.value))}return y(t,()=>{s.value="auto",requestAnimationFrame(()=>{a.value&&(s.value=`${a.value.scrollHeight}px`)})},{immediate:!0}),(r,d)=>k((b(),h("textarea",{ref_key:"textareaRef",ref:a,"onUpdate:modelValue":d[0]||(d[0]=c=>t.value=c),style:M({height:s.value}),onKeydown:i},null,36)),[[w,t.value]])}}),E="<|llm_inference_end|>";function A(o){function n(e){for(const t of f)if(e.includes(t))return{ok:!0,emotion:t};return{ok:!1,emotion:""}}return l({handlers:[async e=>{if(f.includes(e.data)){e.emit("emotion",e.data),await o.add(e.data);return}{const{ok:t,emotion:a}=n(e.data);t&&(e.emit("emotion",a),await o.add(a))}}]})}function N(){function o(e){if(!/<\|DELAY:\d+\|>/i.test(e))return{ok:!1,delay:0};const t=/<\|DELAY:(\d+)\|>/i.exec(e),a=t==null?void 0:t[1];if(!a)return{ok:!1,delay:0};const s=Number.parseFloat(a);return s<=0||Number.isNaN(s)?{ok:!0,delay:0}:{ok:!0,delay:s}}function n(e){return new Promise(t=>setTimeout(t,e))}return l({handlers:[async e=>{const{ok:t,delay:a}=o(e.data);t&&(e.emit("delay",a),await n(a*1e3))}]})}function T(o){const n=u("");return l({handlers:[async e=>{if(e.data===E){const a=n.value.trim();a&&await o.add(a),n.value="";return}const t=/[.?!]/;for(n.value+=e.data;n.value;){const a=t.exec(n.value);if(!a||typeof a.index>"u")break;const s=n.value.slice(0,a.index+1),i=n.value.slice(a.index+1);await o.add(s),n.value=i}}]})}export{D as _,A as a,N as b,E as l,T as u};
+import{d as m,bK as p,bL as v,g as u,w as y,A as k,bF as w,o as b,c as h,n as M}from"./index-CL4rmUJ-.js";import{j as f}from"./live2d-zip-loader-DFrBymqv.js";import{u as l}from"./queue-DCQeV-U1.js";const D=m({__name:"BasicTextarea",props:{modelValue:{default:""},modelModifiers:{}},emits:p(["submit"],["update:modelValue"]),setup(o,{emit:n}){const e=n,t=v(o,"modelValue"),a=u(),s=u("auto");function i(r){r.code==="Enter"&&!r.shiftKey&&(r.preventDefault(),e("submit",t.value))}return y(t,()=>{s.value="auto",requestAnimationFrame(()=>{a.value&&(s.value=`${a.value.scrollHeight}px`)})},{immediate:!0}),(r,d)=>k((b(),h("textarea",{ref_key:"textareaRef",ref:a,"onUpdate:modelValue":d[0]||(d[0]=c=>t.value=c),style:M({height:s.value}),onKeydown:i},null,36)),[[w,t.value]])}}),E="<|llm_inference_end|>";function A(o){function n(e){for(const t of f)if(e.includes(t))return{ok:!0,emotion:t};return{ok:!1,emotion:""}}return l({handlers:[async e=>{if(f.includes(e.data)){e.emit("emotion",e.data),await o.add(e.data);return}{const{ok:t,emotion:a}=n(e.data);t&&(e.emit("emotion",a),await o.add(a))}}]})}function N(){function o(e){if(!/<\|DELAY:\d+\|>/i.test(e))return{ok:!1,delay:0};const t=/<\|DELAY:(\d+)\|>/i.exec(e),a=t==null?void 0:t[1];if(!a)return{ok:!1,delay:0};const s=Number.parseFloat(a);return s<=0||Number.isNaN(s)?{ok:!0,delay:0}:{ok:!0,delay:s}}function n(e){return new Promise(t=>setTimeout(t,e))}return l({handlers:[async e=>{const{ok:t,delay:a}=o(e.data);t&&(e.emit("delay",a),await n(a*1e3))}]})}function T(o){const n=u("");return l({handlers:[async e=>{if(e.data===E){const a=n.value.trim();a&&await o.add(a),n.value="";return}const t=/[.?!]/;for(n.value+=e.data;n.value;){const a=t.exec(n.value);if(!a||typeof a.index>"u")break;const s=n.value.slice(0,a.index+1),i=n.value.slice(a.index+1);await o.add(s),n.value=i}}]})}export{D as _,A as a,N as b,E as l,T as u};
diff --git a/assets/speech-CLmksxkl.js b/assets/speech-Ae5ywnpY.js
similarity index 98%
rename from assets/speech-CLmksxkl.js
rename to assets/speech-Ae5ywnpY.js
index e9135dba285c5d5b88b5989d002886838870e8d9..61a786077adc1e94a5dcd8fe24a1b930265761a7 100644
--- a/assets/speech-CLmksxkl.js
+++ b/assets/speech-Ae5ywnpY.js
@@ -1,2 +1,2 @@
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Ge(ae)}return{activeSpeechProvider:t,activeSpeechModel:r,activeSpeechVoice:a,activeSpeechVoiceId:n,pitch:o,rate:u,ssmlEnabled:f,selectedLanguage:U,isLoadingSpeechProviderVoices:p,speechProviderError:x,availableVoices:v,modelSearchQuery:w,availableSpeechProvidersMetadata:Y,supportsSSML:Q,availableLanguages:W,availableVoicesForLanguage:J,supportsModelListing:G,providerModels:E,isLoadingActiveProviderModels:X,activeProviderModelError:Z,filteredModels:_,speech:te,loadVoicesForProvider:P,getVoicesForProvider:ee,generateSSML:re,isSpeechProvider:O}});export{N as c,ge as g,Je as s,et as u};
diff --git a/assets/speech-g41aUB8v.js b/assets/speech-DqVeJv2L.js
similarity index 98%
rename from assets/speech-g41aUB8v.js
rename to assets/speech-DqVeJv2L.js
index 2540ec4d8bf3595e173cc565a8a5f204bdb7b0b6..4b57eaf0a19c9202e5d627040172235da11e9869 100644
--- a/assets/speech-g41aUB8v.js
+++ b/assets/speech-DqVeJv2L.js
@@ -1 +1 @@
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diff --git a/assets/stage-BZEQTMlY.js b/assets/stage-Bqjk4H4J.js
similarity index 84%
rename from assets/stage-BZEQTMlY.js
rename to assets/stage-Bqjk4H4J.js
index 7571008d7a454abcc419bbcf2ca425e4652b636c..b8df62840da4eccbfb9ef3b747e9ff66f5e34e55 100644
--- a/assets/stage-BZEQTMlY.js
+++ b/assets/stage-Bqjk4H4J.js
@@ -1 +1 @@
-import{d as p,u as s,c,b as d,r as i,n as m,e,o as l}from"./index-BYewP6KR.js";const x=p({__name:"stage",setup(u){const{top:t,right:o,bottom:a,left:n}=s();return(f,_)=>{const r=i("RouterView");return l(),c("main",{text:"gray-700 dark:gray-200","h-full":"","font-cuteen":"",style:m({paddingTop:`${e(t)}px`,paddingRight:`${e(o)}px`,paddingBottom:`${e(a)}px`,paddingLeft:`${e(n)}px`})},[d(r)],4)}}});export{x as default};
+import{d as p,u as s,c,b as d,r as i,n as m,e,o as l}from"./index-CL4rmUJ-.js";const x=p({__name:"stage",setup(u){const{top:t,right:o,bottom:a,left:n}=s();return(f,_)=>{const r=i("RouterView");return l(),c("main",{text:"gray-700 dark:gray-200","h-full":"","font-cuteen":"",style:m({paddingTop:`${e(t)}px`,paddingRight:`${e(o)}px`,paddingBottom:`${e(a)}px`,paddingLeft:`${e(n)}px`})},[d(r)],4)}}});export{x as default};
diff --git a/assets/together-ai-Eu2_AJ3V.js b/assets/together-ai-DeW9vX9c.js
similarity index 72%
rename from assets/together-ai-Eu2_AJ3V.js
rename to assets/together-ai-DeW9vX9c.js
index f1e2ade5796c6ca8b59b3441621486b2277f10b1..93b6b886068dc3e8968807b454dfb509b594ce99 100644
--- a/assets/together-ai-Eu2_AJ3V.js
+++ b/assets/together-ai-DeW9vX9c.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as h,q as y,bE as U,s as V,h as v,l as $,w as k,x,o as K,y as p,b as l,e as t}from"./index-BYewP6KR.js";import{u as z}from"./providers-CFIOZO6n.js";import{_ as w,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="together-ai",H=h({__name:"together-ai",setup(S){const{t:d}=y(),_=U(),m=z(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,r;m.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((r=o.value[a])==null?void 0:r.baseUrl)||""}),k([i,s],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:s.value||""}});function g(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,r)=>{var c,f;return K(),x(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":g},{default:p(()=>{var u;return[l(t(M),{modelValue:i.value,"onUpdate:modelValue":r[0]||(r[0]=b=>i.value=b),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"togetherapi-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(w),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:s.value,"onUpdate:modelValue":r[1]||(r[1]=u=>s.value=u),placeholder:"https://api.together.xyz/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as h,q as y,bE as U,s as V,h as v,l as $,w as k,x,o as K,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as z}from"./providers-BHCrT0RZ.js";import{_ as w,a as C}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as M}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as N,a as P}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as R}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="together-ai",H=h({__name:"together-ai",setup(S){const{t:d}=y(),_=U(),m=z(),{providers:o}=V(m),n=v(()=>m.getProviderMetadata(a)),i=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,r;m.initializeProvider(a),i.value=((e=o.value[a])==null?void 0:e.apiKey)||"",s.value=((r=o.value[a])==null?void 0:r.baseUrl)||""}),k([i,s],()=>{o.value[a]={...o.value[a],apiKey:i.value,baseUrl:s.value||""}});function g(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,r)=>{var c,f;return K(),x(t(R),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon-color":(f=n.value)==null?void 0:f.iconColor,"on-back":()=>t(_).back()},{default:p(()=>[l(t(N),null,{default:p(()=>[l(t(P),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":g},{default:p(()=>{var u;return[l(t(M),{modelValue:i.value,"onUpdate:modelValue":r[0]||(r[0]=b=>i.value=b),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"togetherapi-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(w),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(C),{modelValue:s.value,"onUpdate:modelValue":r[1]||(r[1]=u=>s.value=u),placeholder:"https://api.together.xyz/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon-color","on-back"])}}});export{H as default};
diff --git a/assets/useIconAnimation-B3hjTK1u.js b/assets/useIconAnimation-D_Q3CYV7.js
similarity index 68%
rename from assets/useIconAnimation-B3hjTK1u.js
rename to assets/useIconAnimation-D_Q3CYV7.js
index d85b8a0416084f2ca1b35c56e3871dd4b1975415..ef8c11b746de630905c4b1de3edd4b61bbfc7f48 100644
--- a/assets/useIconAnimation-B3hjTK1u.js
+++ b/assets/useIconAnimation-D_Q3CYV7.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{g as t,v as u,h as r,l as c,H as m}from"./index-BYewP6KR.js";function p(s){const n=t(!1),o=t(!1),a=t(s),e=u(),i=r(()=>o.value&&!e.disableTransitions&&e.usePageSpecificTransitions);return c(()=>{o.value=!0,requestAnimationFrame(()=>{n.value=!0})}),m(()=>{n.value=!1,o.value=!1}),{iconAnimationStarted:n,showIconAnimation:i,animationIcon:a}}export{p as u};
+import"./live2d-zip-loader-DFrBymqv.js";import{g as t,v as u,h as r,l as c,H as m}from"./index-CL4rmUJ-.js";function p(s){const n=t(!1),o=t(!1),a=t(s),e=u(),i=r(()=>o.value&&!e.disableTransitions&&e.usePageSpecificTransitions);return c(()=>{o.value=!0,requestAnimationFrame(()=>{n.value=!0})}),m(()=>{n.value=!1,o.value=!1}),{iconAnimationStarted:n,showIconAnimation:i,animationIcon:a}}export{p as u};
diff --git a/assets/worker-D9VCBMJ0.js b/assets/worker-D9VCBMJ0.js
deleted file mode 100644
index ab478a44e71501319c6161a02d146992ac793d62..0000000000000000000000000000000000000000
--- a/assets/worker-D9VCBMJ0.js
+++ /dev/null
@@ -1,2846 +0,0 @@
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Gr({location:"ml-tensor",mlTensor:e.mlTensor,type:e.type,dims:r});default:throw new Error(`tensorReshape: tensor location ${e.location} is not supported`)}};let Gr=class{constructor(r,t,s){Ib();let i,n;if(typeof r=="object"&&"location"in r)switch(this.dataLocation=r.location,i=r.type,n=r.dims,r.location){case"cpu-pinned":{const a=zn.get(i);if(!a)throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`);if(!(r.data instanceof a))throw new TypeError(`buffer should be of type ${a.name}`);this.cpuData=r.data;break}case"texture":{if(i!=="float32")throw new TypeError(`unsupported type "${i}" to create tensor from texture`);this.gpuTextureData=r.texture,this.downloader=r.download,this.disposer=r.dispose;break}case"gpu-buffer":{if(i!=="float32"&&i!=="float16"&&i!=="int32"&&i!=="int64"&&i!=="uint32"&&i!=="uint8"&&i!=="bool"&&i!=="uint4"&&i!=="int4")throw new TypeError(`unsupported type "${i}" to create tensor from gpu buffer`);this.gpuBufferData=r.gpuBuffer,this.downloader=r.download,this.disposer=r.dispose;break}case"ml-tensor":{if(i!=="float32"&&i!=="float16"&&i!=="int32"&&i!=="int64"&&i!=="uint32"&&i!=="uint64"&&i!=="int8"&&i!=="uint8"&&i!=="bool"&&i!=="uint4"&&i!=="int4")throw new TypeError(`unsupported type "${i}" to create tensor from MLTensor`);this.mlTensorData=r.mlTensor,this.downloader=r.download,this.disposer=r.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let a,l;if(typeof r=="string")if(i=r,l=s,r==="string"){if(!Array.isArray(t))throw new TypeError("A string tensor's data must be a string array.");a=t}else{const d=zn.get(r);if(d===void 0)throw new TypeError(`Unsupported tensor type: ${r}.`);if(Array.isArray(t)){if(r==="float16"&&d===Uint16Array||r==="uint4"||r==="int4")throw new TypeError(`Creating a ${r} tensor from number array is not supported. 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Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.");return this.cpuData}get location(){return this.dataLocation}get texture(){if(this.ensureValid(),!this.gpuTextureData)throw new Error("The data is not stored as a WebGL texture.");return this.gpuTextureData}get gpuBuffer(){if(this.ensureValid(),!this.gpuBufferData)throw new Error("The data is not stored as a WebGPU buffer.");return this.gpuBufferData}get mlTensor(){if(this.ensureValid(),!this.mlTensorData)throw new Error("The data is not stored as a WebNN MLTensor.");return this.mlTensorData}async getData(r){switch(this.ensureValid(),this.dataLocation){case"cpu":case"cpu-pinned":return this.data;case"texture":case"gpu-buffer":case"ml-tensor":{if(!this.downloader)throw new Error("The current tensor is not created with a specified data downloader.");if(this.isDownloading)throw new Error("The current tensor is being downloaded.");try{this.isDownloading=!0;const t=await this.downloader();return this.downloader=void 0,this.dataLocation="cpu",this.cpuData=t,r&&this.disposer&&(this.disposer(),this.disposer=void 0),t}finally{this.isDownloading=!1}}default:throw new Error(`cannot get data from location: ${this.dataLocation}`)}}dispose(){if(this.isDownloading)throw new Error("The current tensor is being downloaded.");this.disposer&&(this.disposer(),this.disposer=void 0),this.cpuData=void 0,this.gpuTextureData=void 0,this.gpuBufferData=void 0,this.mlTensorData=void 0,this.downloader=void 0,this.isDownloading=void 0,this.dataLocation="none"}ensureValid(){if(this.dataLocation==="none")throw new Error("The tensor is disposed.")}reshape(r){if(this.ensureValid(),this.downloader||this.disposer)throw new Error("Cannot reshape a tensor that owns GPU resource.");return Fb(this,r)}};const Bn=Gr,Ou=(e,r)=>{(typeof es.trace>"u"?!es.wasm.trace:!es.trace)||console.timeStamp(`${e}::ORT::${r}`)},Du=(e,r)=>{var i;const t=((i=new Error().stack)==null?void 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d!="string")throw new TypeError("'fetches' must be a string array or an object.");if(this.outputNames.indexOf(d)===-1)throw new RangeError(`'fetches' contains invalid output name: ${d}.`);i[d]=null}if(typeof s=="object"&&s!==null)n=s;else if(typeof s<"u")throw new TypeError("'options' must be an object.")}else{let d=!1;const p=Object.getOwnPropertyNames(t);for(const u of this.outputNames)if(p.indexOf(u)!==-1){const h=t[u];(h===null||h instanceof Bn)&&(d=!0,o=!1,i[u]=h)}if(d){if(typeof s=="object"&&s!==null)n=s;else if(typeof s<"u")throw new TypeError("'options' must be an object.")}else n=t}}else if(typeof t<"u")throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");for(const d of this.inputNames)if(typeof r[d]>"u")throw new Error(`input '${d}' is missing in 'feeds'.`);if(o)for(const d of this.outputNames)i[d]=null;const a=await this.handler.run(r,i,n),l={};for(const d in a)if(Object.hasOwnProperty.call(a,d)){const p=a[d];p instanceof Bn?l[d]=p:l[d]=new Bn(p.type,p.data,p.dims)}return dd(),l}async release(){return this.handler.dispose()}static async create(r,t,s,i){ld();let n,o={};if(typeof r=="string"){if(n=r,typeof t=="object"&&t!==null)o=t;else if(typeof t<"u")throw new TypeError("'options' must be an object.")}else if(r instanceof Uint8Array){if(n=r,typeof t=="object"&&t!==null)o=t;else if(typeof t<"u")throw new TypeError("'options' must be an object.")}else if(r instanceof ArrayBuffer||typeof SharedArrayBuffer<"u"&&r instanceof SharedArrayBuffer){const p=r;let u=0,h=r.byteLength;if(typeof t=="object"&&t!==null)o=t;else if(typeof t=="number"){if(u=t,!Number.isSafeInteger(u))throw new RangeError("'byteOffset' must be an integer.");if(u<0||u>=p.byteLength)throw new RangeError(`'byteOffset' is out of range [0, ${p.byteLength}).`);if(h=r.byteLength-u,typeof s=="number"){if(h=s,!Number.isSafeInteger(h))throw new RangeError("'byteLength' must be an integer.");if(h<=0||u+h>p.byteLength)throw new RangeError(`'byteLength' is out of range (0, ${p.byteLength-u}].`);if(typeof i=="object"&&i!==null)o=i;else if(typeof i<"u")throw new TypeError("'options' must be an object.")}else if(typeof s<"u")throw new TypeError("'byteLength' must be a number.")}else if(typeof t<"u")throw new TypeError("'options' must be an object.");n=new Uint8Array(p,u,h)}else throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'.");const[a,l]=await bb(o),d=await a.createInferenceSessionHandler(n,l);return dd(),new gb(d)}startProfiling(){this.handler.startProfiling()}endProfiling(){this.handler.endProfiling()}get inputNames(){return this.handler.inputNames}get outputNames(){return this.handler.outputNames}},TRACE:Ou,TRACE_FUNC_BEGIN:ld,TRACE_FUNC_END:dd,Tensor:Bn,env:xb,registerBackend:Ln});/*!
- * ONNX Runtime Web v1.22.0-dev.20250306-ccf8fdd9ea
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
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-             Please use the previous external buffer!`)}else s=Nd();return this.storageCache.set(s,{gpuData:{id:s,type:0,buffer:e},originalSize:r}),St("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${r}) => id=${s}, registered.`),s}unregisterExternalBuffer(e){e!==void 0&&(this.storageCache.delete(e),St("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${e}`))}create(e,r=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let t=Sp(e),s,i=(r&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,n=(r&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(i||n){let a=(i?this.freeBuffers:this.freeUniformBuffers).get(t);a?a.length>0?s=a.pop():s=this.backend.device.createBuffer({size:t,usage:r}):s=this.backend.device.createBuffer({size:t,usage:r})}else s=this.backend.device.createBuffer({size:t,usage:r});let o={id:Nd(),type:0,buffer:s};return this.storageCache.set(o.id,{gpuData:o,originalSize:Number(e)}),St("verbose",()=>`[WebGPU] GpuDataManager.create(size=${e}) => id=${o.id}`),o}get(e){var r;return(r=this.storageCache.get(e))==null?void 0:r.gpuData}release(e){let r=typeof e=="bigint"?Number(e):e,t=this.storageCache.get(r);if(!t){if(this.storageCache.size===0)return 0;throw new Error("releasing data does not exist")}return St("verbose",()=>`[WebGPU] GpuDataManager.release(id=${r}), gpuDataId=${t.gpuData.id}`),this.storageCache.delete(r),this.buffersPending.push(t.gpuData.buffer),t.originalSize}async download(e,r){let t=this.storageCache.get(Number(e));if(!t)throw new Error("data does not exist");await jd(this.backend,t.gpuData.buffer,t.originalSize,r)}refreshPendingBuffers(){if(this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let e of this.buffersPending){let r=Rd.get(e.size);if((e.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let t=this.freeBuffers.get(e.size)||[];r===void 0||t.length>=r?e.destroy():t.push(e)}else if((e.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let t=this.freeUniformBuffers.get(e.size)||[];r===void 0||t.length>=r?e.destroy():t.push(e)}else e.destroy()}this.buffersPending=[]}else{let e=this.capturedPendingBuffers.get(this.backend.currentSessionId);e||(e=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,e));for(let r of this.buffersPending)e.push(r);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach(e=>{e.forEach(r=>{r.destroy()})}),this.freeUniformBuffers.forEach(e=>{e.forEach(r=>{r.destroy()})}),this.storageCache.forEach(e=>{e.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach(e=>{e.forEach(r=>{r.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onCreateSession(){this.sessionCount+=1}onReleaseSession(e){let r=this.capturedPendingBuffers.get(e);r&&(r.forEach(t=>{t.destroy()}),this.capturedPendingBuffers.delete(e)),this.sessionCount-=1,this.sessionCount===0&&(St("warning",()=>"[WebGPU] Clearing webgpu buffer cache"),this.storageCache.forEach(t=>{t.gpuData.buffer.destroy()}),this.storageCache=new Map)}},Ip=(...e)=>new kp(...e)}),Ap,Dt,Yt=Ue(()=>{Ap=class{constructor(e){Object.assign(this,e)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(e=>`${this[e]}`).join(";")),this.key}},Dt=e=>new Ap(e)}),Fp,Nn,xe,va,Op,Dp,Lp,Mt=Ue(()=>{Fp=class{static calcMatMulShape(e,r){return e[1]!==r[0]?void 0:[e[0],r[1]]}},Nn=class{static calcShape(e,r,t=!1){let s=e.length,i=r.length;if(s===0)return r;if(i===0)return e;let n=Math.max(e.length,r.length),o=new Array(n);if(t){if(s<2||i<2)return;let a=Fp.calcMatMulShape([e[s-2],e[s-1]],[r[i-2],r[i-1]]);if(a===void 0)return;[o[n-2],o[n-1]]=a}for(let a=t?3:1;a<=n;a++){let l=s-a<0?1:e[s-a],d=i-a<0?1:r[i-a];if(l!==d&&l>1&&d>1)return;let p=Math.max(l,d);if(l&&d)o[n-a]=Math.max(l,d);else{if(p>1)return;o[n-a]=0}}return o}static isValidBroadcast(e,r){let t=e.length,s=r.length;if(t>s)return!1;for(let i=1;i<=t;i++)if(e[t-i]!==1&&e[t-i]!==r[s-i])return!1;return!0}},xe=class od{static size(r){return od.getSizeFromDimensionRange(r,0,r.length)}static convertShape(r,t=4){let s=r.length;if(s===0)return[];let i=new Array(s),n=s-1;for(;n>=0;){if(r[n]%t===0){i[n]=r[n]/t;break}if(t%r[n]!==0)throw new Error("cannot convert shape");i[n]=1,t/=r[n],n--}for(n--;n>=0;n--)i[n]=r[n];return i}static sizeFromDimension(r,t){if(t<0||t>r.length)throw new Error(`invalid dimension of ${t} for sizeFromDimension as Tensor has ${r.length} dimensions.`);return od.getSizeFromDimensionRange(r,t,r.length)}static sizeToDimension(r,t){if(t<0||t>r.length)throw new Error(`invalid dimension of ${t} for sizeToDimension as Tensor has ${r.length} dimensions.`);return od.getSizeFromDimensionRange(r,0,t)}static getSizeFromDimensionRange(r,t,s){let i=1;for(let n=t;n<s;n++){if(r[n]<0)throw new Error("cannot get valid size from specified dimension range. 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computePoolOutputShape(r,t,s,i,n,o,a){if(t.length<=0)throw new Error("input shape must be of size greater than 0");let l=[t[0],t[1]];return pa.computeShapeHelper(r,t,l,s,i,n,o,a),l}static computeConvOutputShape(r,t,s,i,n,o,a){if(r.length<=0||t.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let l=[r[0],t[0]];return pa.computeShapeHelper(!1,r,l,s,i,n,o,a),l}static computeShapeHelper(r,t,s,i,n,o,a,l){if(r)for(let d=0;d<t.length-2;d++)s.push(1);else for(let d=0;d<t.length-2;d++)s.push(pa.adjustPadAndReturnShape(t[d+2],i[d],n[d],o[d],a,d,d+t.length-2,l))}static adjustPadAndReturnShape(r,t,s,i,n,o,a,l){let d=s*(i-1)+1;if(l&&l!=="NOTSET")switch(l){case"VALID":return n[o]=0,n[a]=0,Math.floor((r-d)/t+1);case"SAME_LOWER":case"SAME_UPPER":if(s!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let p=((r+t-1)/t-1)*t+i-r;return n[o]=Math.floor(l==="SAME_LOWER"?(p+1)/2:p/2),n[a]=p-n[o],Math.floor((r+p-i)/t+1)}default:throw new 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-    let rest${R} = current % ${rt(b,R,o)};
-    indices[${R}] = dim${R};
-    current = rest${R};
-    `;y+=`indices[${o-1}] = current;`;let $=o<2?"":`
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-    ${y}
-    return indices;
-  }`,T=R=>(f.offsetToIndices=!0,o<2?R:`o2i_${e}(${R})`),g=[];if(o>=2)for(let R=o-1;R>=0;R--)g.push(`${rt(b,R,o)} * (indices[${R}])`);let M=o<2?"":`
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-             return ${ne.length>0?ne.join("+"):"0u"};
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-  fn set_${e}ByIndices(indices: ${h.indices}, value: ${p}) {
-    ${V(`i2o_${e}(indices)`,"value")}
-  }`,we=o<2?"":(()=>{let R=a.map(G=>`d${G}: u32`).join(", "),O=a.map(G=>`d${G}`).join(", ");return`
-  fn set_${e}(${R}, value: ${p}) {
-    set_${e}ByIndices(${k(O)}, value);
-  }`})();return{impl:()=>{let R=[],O=!1;return f.offsetToIndices&&(R.push($),O=!0),f.indicesToOffset&&(R.push(M),O=!0),f.broadcastedIndicesToOffset&&(Object.values(J).forEach(G=>R.push(G)),O=!0),f.set&&(R.push(we),O=!0),f.setByIndices&&(R.push(ae),O=!0),f.get&&(R.push(Q),O=!0),f.getByIndices&&(R.push(H),O=!0),!n&&O&&R.unshift(`const ${A} = ${h.indices}(${t.join(",")});`,`const ${b} = ${h.indices}(${xe.computeStrides(t).join(",")});`),R.join(`
-`)},type:h,offsetToIndices:T,indicesToOffset:E,broadcastedIndicesToOffset:q,indices:k,indicesGet:B,indicesSet:N,set:(...R)=>{if(R.length!==o+1)throw new Error(`indices length must be ${o}`);let O=R[o];if(typeof O!="string")throw new Error("value must be string");let G=R.slice(0,o).map(w).join(",");return o===0?V("0u",O):o===1?V(G[0],O):(f.set=!0,f.setByIndices=!0,f.indicesToOffset=!0,`set_${e}(${G}, ${O})`)},setByOffset:V,setByIndices:(R,O)=>o<2?V(R,O):(f.setByIndices=!0,f.indicesToOffset=!0,`set_${e}ByIndices(${R}, ${O});`),get:ie,getByOffset:Y,getByIndices:le,usage:s,name:e,strides:b,shape:A,rank:o}},$e=(e,r,t,s=1)=>Ai(e,r,t,"input",s),tt=(e,r,t,s=1)=>Ai(e,r,t,"output",s),zp=(e,r,t)=>Ai(e,r,t,"atomicOutput",1),Vd=(e,r,t,s=1)=>Ai(e,r,t,"internal",s),Bp=class{constructor(e,r){this.normalizedDispatchGroup=e,this.limits=r,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(e){return`if (global_idx >= ${typeof e=="number"?`${e}u`:e}) { return; }`}mainStart(e=jn){let r=typeof e=="number"?e:e[0],t=typeof e=="number"?1:e[1],s=typeof e=="number"?1:e[2];if(r>this.limits.maxComputeWorkgroupSizeX||t>this.limits.maxComputeWorkgroupSizeY||s>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${r}, ${t}, ${s}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(r*t*s>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${r}, ${t}, ${s}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let i=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,n=i?`@builtin(global_invocation_id) global_id : vec3<u32>,
-    @builtin(workgroup_id) workgroup_id : vec3<u32>,
-    @builtin(local_invocation_index) local_idx : u32,
-    @builtin(local_invocation_id) local_id : vec3<u32>`:`@builtin(global_invocation_id) global_id : vec3<u32>,
-                                             @builtin(local_invocation_id) local_id : vec3<u32>,
-    @builtin(local_invocation_index) local_idx : u32,
-    @builtin(workgroup_id) workgroup_id : vec3<u32>,
-    @builtin(num_workgroups) num_workgroups : vec3<u32>`,o=i?`let global_idx = global_id.x;
-         let workgroup_index = workgroup_id.x;`:`let workgroup_index = workgroup_id.z * num_workgroups[0] * num_workgroups[1] +
-             workgroup_id.y * num_workgroups[0] + workgroup_id.x;
-         let global_idx = workgroup_index * ${r*t*s}u + local_idx;`;return`@compute @workgroup_size(${r}, ${t}, ${s})
-  fn main(${n}) {
-    ${o}
-  `}appendVariableUniforms(e){e.rank!==0&&(e.shape.startsWith("uniforms.")&&this.uniforms.push({name:e.shape.replace("uniforms.",""),type:"u32",length:e.rank}),e.strides.startsWith("uniforms.")&&this.uniforms.push({name:e.strides.replace("uniforms.",""),type:"u32",length:e.rank}))}declareVariable(e,r){if(e.usage==="internal")throw new Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(e),this.appendVariableUniforms(e);let t=e.usage==="input"?"read":"read_write",s=e.usage==="atomicOutput"?"atomic<i32>":e.type.storage;return`@group(0) @binding(${r}) var<storage, ${t}> ${e.name}: array<${s}>;`}declareVariables(...e){return e.map(r=>this.declareVariable(r,this.variableIndex++)).join(`
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-  ${f.registerUniform("output_size","u32").declareVariables(P,A)}
-  ${f.mainStart()}
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-  ${P.registerUniform("output_size","u32").declareVariables(A,b)}
-  var<workgroup> tile : array<array<${b.type.value}, ${f+1}>, ${f}>;
-  ${P.mainStart([f,f,1])}
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-    let workgroup_id_y = workgroup_index / stride;
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-    if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) {
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-    }
-    workgroupBarrier();
-
-    let output_col = workgroup_id_x * ${f}u + local_id.x;
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-    if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) {
-      ${b.setByIndices(`${b.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")}
-    }
-  }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let P=xe.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(a[1]/f),y:Math.ceil(a[0]/f)},programUniforms:[{type:12,data:P},...nt(o,a)]}},getShaderSource:d}}return d=f=>{let P=$e("a",t,o.length),A=tt("output",t,a.length);return`
-  ${f.registerUniform("output_size","u32").declareVariables(P,A)}
-
-  ${Up(i,s,P,A)}
-
-  ${f.mainStart()}
-    ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-
-    let indices = ${A.offsetToIndices("global_idx")};
-    let aIndices = perm(indices);
-
-    ${A.setByOffset("global_idx",P.getByIndices("aIndices"))}
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-          var<workgroup> aBestValues : array<f32, ${h}>;
-       `,f=P=>`
-        ${P.registerUniform("reduceSize","u32").declareVariables(p,u)}
-        ${w}
-        fn DIV_CEIL(a : u32, b : u32) -> u32 {
-          return ((a - 1u) / b + 1u);
-         }
-         ${P.mainStart(h)}
-
-          let outputIndex = global_idx / ${h};
-          let offset = outputIndex * uniforms.reduceSize;
-
-          var bestValue = f32(${Qp[s]});
-          let Length = uniforms.reduceSize;
-          for (var k = local_idx; k < Length; k = k + ${h}) {
-           let candidate = f32(${p.getByOffset("offset + k")});
-           bestValue = ${Hp[s]};
-          }
-          aBestValues[local_idx] = bestValue;
-          workgroupBarrier();
-
-         var reduceSize = min(Length, ${h}u);
-         for (var currentSize = reduceSize / 2u; reduceSize > 1u;
-             currentSize = reduceSize / 2u) {
-           let interval = DIV_CEIL(reduceSize, 2u);
-           if (local_idx < currentSize) {
-            let candidate = aBestValues[local_idx + interval];
-            bestValue = ${qp[s]};
-            aBestValues[local_idx] = bestValue;
-           }
-           reduceSize = interval;
-           workgroupBarrier();
-         }
-
-         if (local_idx == 0u) {
-          ${u.setByOffset("outputIndex",`${s==="mean"?`${u.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${u.type.storage}(${Xp[s]})`}`)};
-         }
-        }`;return{name:e,shaderCache:{hint:`${r};${h}`,inputDependencies:["type"]},getShaderSource:f,getRunData:()=>({outputs:[{dims:n,dataType:i}],dispatchGroup:{x:l},programUniforms:[{type:12,data:d}]})}},ns=(e,r,t,s)=>{let i=e.inputs.length===1?t:Gd(e.inputs,t),n=i.axes;n.length===0&&!i.noopWithEmptyAxes&&(n=e.inputs[0].dims.map((w,f)=>f));let o=xe.normalizeAxes(n,e.inputs[0].dims.length),a=o,l=e.inputs[0],d=th(a,e.inputs[0].dims.length);d.length>0&&(l=e.compute(Nr(e.inputs[0],d),{inputs:[0],outputs:[-1]})[0],a=Jp(a.length,l.dims.length));let[p,u]=Yp(l.dims,a),h=p;i.keepDims&&(h=Zp(p,o)),e.compute(rh(r,i.cacheKey,[l],s,e.inputs[0].dataType,h,u),{inputs:[l]})},sh=(e,r)=>{ns(e,"ReduceMeanShared",r,"mean")},nh=(e,r)=>{ns(e,"ReduceL1Shared",r,"l1")},ih=(e,r)=>{ns(e,"ReduceL2Shared",r,"l2")},oh=(e,r)=>{ns(e,"ReduceLogSumExpShared",r,"logSumExp")},ah=(e,r)=>{ns(e,"ReduceMaxShared",r,"max")},lh=(e,r)=>{ns(e,"ReduceMinShared",r,"min")},dh=(e,r)=>{ns(e,"ReduceProdShared",r,"prod")},ch=(e,r)=>{ns(e,"ReduceSumShared",r,"sum")},uh=(e,r)=>{ns(e,"ReduceSumSquareShared",r,"sumSquare")},ph=(e,r)=>{ns(e,"ReduceLogSumShared",r,"logSum")}}),is,hh,Ta,Gd,os,mh,_h,fh,gh,wh,yh,Mh,bh,vh,xh,as,Th,Eh,Ph,Ch,Sh,$h,kh,Ih,Ah,Fh,Kd=Ue(()=>{pt(),Mt(),Yt(),xt(),nv(),is=e=>{if(!e||e.length===0||e.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(e.length===2&&e[1].dims.length!==1)throw new Error("Invalid axes input dims.")},hh=e=>["","",`var value = ${e.getByIndices("input_indices")};`,""],Ta=(e,r,t,s,i,n,o=!1,a=!1)=>{let l=[],d=t[0].dims,p=d.length,u=xe.normalizeAxes(i,p),h=!a&&u.length===0;d.forEach((P,A)=>{h||u.indexOf(A)>=0?o&&l.push(1):l.push(P)});let w=l.length,f=xe.size(l);return{name:e,shaderCache:r,getShaderSource:P=>{let A=[],b=$e("_A",t[0].dataType,p),y=tt("output",n,w),$=s(b,y,u),T=$[2];for(let g=0,M=0;g<p;g++)h||u.indexOf(g)>=0?(o&&M++,T=`for(var j${g}: u32 = 0; j${g} < ${d[g]}; j${g}++) {
-                  ${$[2].includes("last_index")?`let last_index = j${g};`:""}
-                  ${b.indicesSet("input_indices",g,`j${g}`)}
-                  ${T}
-                }`):(A.push(`${b.indicesSet("input_indices",g,y.indicesGet("output_indices",M))};`),M++);return`
-
-        ${P.registerUniform("output_size","u32").declareVariables(b,y)}
-
-        ${P.mainStart()}
-          ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-          var input_indices: ${b.type.indices};
-          let output_indices = ${y.offsetToIndices("global_idx")};
-
-          ${A.join(`
-`)}
-          ${$[0]}       // init ops for reduce max/min
-          ${$[1]}
-          ${T}
-          ${$[3]}
-          ${$.length===4?y.setByOffset("global_idx","value"):$.slice(4).join(`
-`)}
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-var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLastIndex>0?">=":">"} value) {
-         value = ${s.getByIndices("input_indices")};
-         best_index = i32(last_index);
-       }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Ta("argMax",{hint:r.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],t,[r.axis],7,r.keepDims),{inputs:[0]})},qd=e=>Dt(e)}),Lh,Ea,zh,Bh,Rh,Fi,Nh,jh,Qd=Ue(()=>{pt(),Mt(),Bd(),xt(),Lh=(e,r)=>{let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4],a=e[5];if(o&&a)throw new Error("Attention cannot have both past and attention_bias");if(t.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let l=t.dims[0],d=t.dims[1],p=t.dims[2];if(i.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(s.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(s.dims[0]!==p)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(i.dims[0]!==s.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let u=i.dims[0]/3,h=u,w=h;if(r.qkvHiddenSizes.length>0){if(r.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let $ of r.qkvHiddenSizes)if($%r.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");u=r.qkvHiddenSizes[0],h=r.qkvHiddenSizes[1],w=r.qkvHiddenSizes[2]}let f=d;if(u!==h)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==u+h+w)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let P=0;if(o){if(h!==w)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(o.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(o.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(o.dims[1]!==l)throw new Error('Input "past" second dimension must be batch_size');if(o.dims[2]!==r.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(o.dims[4]!==h/r.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');r.pastPresentShareBuffer||(P=o.dims[3])}let A=f+P,b=-1,y=0;if(n)throw new Error("Mask not supported");if(o)throw new Error("past is not supported");if(a){if(a.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(a.dims[0]!==l||a.dims[1]!==r.numHeads||a.dims[2]!==d||a.dims[3]!==A)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:l,sequenceLength:d,pastSequenceLength:P,kvSequenceLength:f,totalSequenceLength:A,maxSequenceLength:b,inputHiddenSize:p,hiddenSize:u,vHiddenSize:w,headSize:Math.floor(u/r.numHeads),vHeadSize:Math.floor(w/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Ea=(e,r,t)=>r&&e?`
-      let total_sequence_length_input = u32(${r.getByOffset("0")});
-      let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length);
-      let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input;
-      let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input;
-      total_sequence_length = u32(${e==null?void 0:e.getByOffset("batchIdx")}) + 1;
-      var past_sequence_length: u32 = 0;
-      if (is_first_prompt == false) {
-        past_sequence_length = total_sequence_length - sequence_length;
-      }
-       `:`
-    ${t?"let past_sequence_length = uniforms.past_sequence_length":""};
-    let present_sequence_length = total_sequence_length;
-    `,zh=(e,r,t,s,i,n,o,a)=>{let l=Xt(o?1:n),d=64,p=n/l;p<d&&(d=32);let u=Math.ceil(n/l/d),h=[{type:12,data:r},{type:12,data:t},{type:12,data:s},{type:12,data:i},{type:12,data:p},{type:12,data:u}],w=lr(e.dataType,l),f=Tr(1,l),P=["type"];o&&P.push("type"),a&&P.push("type");let A=b=>{let y=tt("x",e.dataType,e.dims,l),$=[y],T=o?$e("seq_lens",o.dataType,o.dims):void 0;T&&$.push(T);let g=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;g&&$.push(g);let M=Tr(e.dataType),E=[{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`
-  var<workgroup> thread_max: array<f32, ${d}>;
-  var<workgroup> thread_sum: array<f32, ${d}>;
-  ${b.registerUniforms(E).declareVariables(...$)}
-  ${b.mainStart([d,1,1])}
-    let batchIdx = workgroup_id.z / uniforms.num_heads;
-    let headIdx = workgroup_id.z % uniforms.num_heads;
-    let sequence_length = uniforms.sequence_length;
-    var total_sequence_length = uniforms.total_sequence_length;
-    ${Ea(T,g,!1)}
-    let local_offset = local_idx * uniforms.elements_per_thread;
-    let offset = (global_idx / ${d}) * uniforms.total_sequence_length + local_offset;
-    let seq_causal_length = ${o?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"};
-    var thread_max_vector = ${f}(-3.402823e+38f);
-    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
-      thread_max_vector = max(${f}(x[offset + i]), thread_max_vector);
-    }
-    thread_max[local_idx] = ${(()=>{switch(l){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${l}`)}})()};
-    workgroupBarrier();
-
-    var max_value =  f32(-3.402823e+38f);
-    for (var i = 0u; i < ${d}; i++) {
-      max_value = max(thread_max[i], max_value);
-    }
-
-    var sum_vector = ${f}(0);
-    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
-      sum_vector += exp(${f}(x[offset + i]) - max_value);
-    }
-    thread_sum[local_idx] = ${(()=>{switch(l){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${l}`)}})()};
-    workgroupBarrier();
-
-    var sum: f32 = 0;
-    for (var i = 0u; i < ${d}; i++) {
-      sum += thread_sum[i];
-    }
-
-    if (sum == 0) {
-      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
-        x[offset + i] = ${y.type.value}(${M}(1.0) / ${M}(seq_causal_length));
-      }
-    } else {
-      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
-        var f32input = ${f}(x[offset + i]);
-        x[offset + i] = ${y.type.value}(exp(f32input - max_value) / sum);
-      }
-    }
-      ${o?`
-        for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) {
-          x[offset + total_seq_id] = ${y.type.value}(${M}(0));
-        }`:""};
-  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${d};${w};${l}`,inputDependencies:P},getShaderSource:A,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:i,z:r*t},programUniforms:h})}},Bh=(e,r,t,s,i,n,o,a,l)=>{let d=o+n.kvSequenceLength,p=[n.batchSize,n.numHeads,n.sequenceLength,d],u=e>1&&s,h=n.kvNumHeads?n.kvNumHeads:n.numHeads,w=u?[n.batchSize,h,d,n.headSize]:void 0,f=n.nReps?n.nReps:1,P=n.scale===0?1/Math.sqrt(n.headSize):n.scale,A=Xt(n.headSize),b=n.headSize/A,y=12,$={x:Math.ceil(d/y),y:Math.ceil(n.sequenceLength/y),z:n.batchSize*n.numHeads},T=[{type:12,data:n.sequenceLength},{type:12,data:b},{type:12,data:d},{type:12,data:n.numHeads},{type:12,data:n.headSize},{type:1,data:P},{type:12,data:o},{type:12,data:n.kvSequenceLength},{type:12,data:f}],g=u&&s&&xe.size(s.dims)>0,M=["type","type"];g&&M.push("type"),i&&M.push("type"),a&&M.push("type"),l&&M.push("type");let E=[{dims:p,dataType:r.dataType,gpuDataType:0}];u&&E.push({dims:w,dataType:r.dataType,gpuDataType:0});let k=B=>{let N=$e("q",r.dataType,r.dims,A),J=$e("key",t.dataType,t.dims,A),q=[N,J];if(g){let ae=$e("past_key",s.dataType,s.dims,A);q.push(ae)}i&&q.push($e("attention_bias",i.dataType,i.dims));let V=a?$e("seq_lens",a.dataType,a.dims):void 0;V&&q.push(V);let Y=l?$e("total_sequence_length_input",l.dataType,l.dims):void 0;Y&&q.push(Y);let H=tt("output",r.dataType,p),Q=[H];u&&Q.push(tt("present_key",r.dataType,w,A));let ie=Tr(1,A),le=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
-  const TILE_SIZE = ${y}u;
-
-  var<workgroup> tileQ: array<${N.type.storage}, ${y*y}>;
-  var<workgroup> tileK: array<${N.type.storage}, ${y*y}>;
-  ${B.registerUniforms(le).declareVariables(...q,...Q)}
-  ${B.mainStart([y,y,1])}
-    // x holds the N and y holds the M
-    let headIdx = workgroup_id.z % uniforms.num_heads;
-    let kvHeadIdx = ${f===1?"headIdx":"headIdx / uniforms.n_reps"};
-    let kv_num_heads = ${f===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
-    let batchIdx = workgroup_id.z / uniforms.num_heads;
-    let m = workgroup_id.y * TILE_SIZE;
-    let n = workgroup_id.x * TILE_SIZE;
-    let sequence_length = uniforms.M;
-    var total_sequence_length = uniforms.N;
-    ${Ea(V,Y,!0)}
-    let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;
-    let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
-    ${g&&u?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""};
-    let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;
-    ${u?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""}
-    var value = ${ie}(0);
-    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
-      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {
-        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];
-      }
-      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {
-        var idx = TILE_SIZE * local_id.y + local_id.x;
-      ${g&&u?`
-              if (n + local_id.y < past_sequence_length) {
-                tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
-              } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
-                tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x];
-              }`:`
-          if (n + local_id.y < uniforms.kv_sequence_length) {
-            tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
-          }`}
-      ${u?`if (n + local_id.y < present_sequence_length) {
-        present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx];
-      }`:""}
-      }
-      workgroupBarrier();
-
-      for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
-          value += ${ie}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);
-      }
-
-      workgroupBarrier();
-    }
-
-    if (global_id.y < uniforms.M && global_id.x < total_sequence_length) {
-      let headOffset = workgroup_id.z * uniforms.M * uniforms.N;
-      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;
-      var sum: f32 = ${(()=>{switch(A){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${A}`)}})()};
-        output[outputIdx] = ${H.type.value} (sum * uniforms.alpha) + ${i?"attention_bias[outputIdx]":"0.0"};
-    }
-  }`};return{name:"AttentionProbs",shaderCache:{hint:`${A};${i!==void 0};${s!==void 0};${e}`,inputDependencies:M},getRunData:()=>({outputs:E,dispatchGroup:$,programUniforms:T}),getShaderSource:k}},Rh=(e,r,t,s,i,n,o=void 0,a=void 0)=>{let l=n+i.kvSequenceLength,d=i.nReps?i.nReps:1,p=i.vHiddenSize*d,u=e>1&&s,h=i.kvNumHeads?i.kvNumHeads:i.numHeads,w=u?[i.batchSize,h,l,i.headSize]:void 0,f=[i.batchSize,i.sequenceLength,p],P=12,A={x:Math.ceil(i.vHeadSize/P),y:Math.ceil(i.sequenceLength/P),z:i.batchSize*i.numHeads},b=[{type:12,data:i.sequenceLength},{type:12,data:l},{type:12,data:i.vHeadSize},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:12,data:p},{type:12,data:n},{type:12,data:i.kvSequenceLength},{type:12,data:d}],y=u&&s&&xe.size(s.dims)>0,$=["type","type"];y&&$.push("type"),o&&$.push("type"),a&&$.push("type");let T=[{dims:f,dataType:r.dataType,gpuDataType:0}];u&&T.push({dims:w,dataType:r.dataType,gpuDataType:0});let g=M=>{let E=$e("probs",r.dataType,r.dims),k=$e("v",t.dataType,t.dims),B=[E,k];y&&B.push($e("past_value",s.dataType,s.dims));let N=o?$e("seq_lens",o.dataType,o.dims):void 0;o&&B.push(N);let J=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;a&&B.push(J);let q=[tt("output",r.dataType,f)];u&&q.push(tt("present_value",r.dataType,w));let V=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
-  const TILE_SIZE = ${P}u;
-  var<workgroup> tileQ: array<${E.type.value}, ${P*P}>;
-  var<workgroup> tileV: array<${E.type.value}, ${P*P}>;
-  ${M.registerUniforms(V).declareVariables(...B,...q)}
-  ${M.mainStart([P,P,1])}
-   let headIdx = workgroup_id.z % uniforms.num_heads;
-   let batchIdx = workgroup_id.z / uniforms.num_heads;
-   let kvHeadIdx = ${d===1?"headIdx":"headIdx / uniforms.n_reps"};
-   let kv_num_heads = ${d===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
-   let m = global_id.y;
-   let n = global_id.x;
-   let sequence_length = uniforms.M;
-   var total_sequence_length = uniforms.K;
-   ${Ea(N,J,!0)}
-   let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
-   let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch
-   ${y&&u?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""};
-   let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;
-   ${u?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""}
-   var value = ${E.type.storage}(0);
-   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
-      if (m < uniforms.M && w + local_id.x < uniforms.K) {
-        tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];
-      }
-      if (n < uniforms.N && w + local_id.y < uniforms.K) {
-        var idx = TILE_SIZE * local_id.y + local_id.x;
-        ${y&&u?`
-        if (w + local_id.y < past_sequence_length) {
-          tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N];
-        } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
-          tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N];
-        }
-      `:`
-            if (w + local_id.y < uniforms.kv_sequence_length) {
-              tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N];
-            }`}
-        ${u?`
-            if (w + local_id.y < present_sequence_length) {
-          present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx];
-        }`:""}
-      }
-     workgroupBarrier();
-     for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) {
-       value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x];
-     }
-     workgroupBarrier();
-   }
-
-   // we need to transpose output from BNSH_v to BSND_v
-   if (m < uniforms.M && n < uniforms.N) {
-     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size
-       + headIdx * uniforms.N + n;
-     output[outputIdx] = value;
-   }
-  }`};return{name:"AttentionScore",shaderCache:{hint:`${s!==void 0};${e}`,inputDependencies:$},getRunData:()=>({outputs:T,dispatchGroup:A,programUniforms:b}),getShaderSource:g}},Fi=(e,r,t,s,i,n,o,a,l,d,p=void 0,u=void 0)=>{let h=Math.min(e.outputCount,1+(o?1:0)+(a?1:0)),w=h>1?d.pastSequenceLength:0,f=w+d.kvSequenceLength,P=l&&xe.size(l.dims)>0?l:void 0,A=[r,t];h>1&&o&&xe.size(o.dims)>0&&A.push(o),P&&A.push(P),p&&A.push(p),u&&A.push(u);let b=e.compute(Bh(h,r,t,o,P,d,w,p,u),{inputs:A,outputs:h>1?[-1,1]:[-1]})[0];e.compute(zh(b,d.batchSize,d.numHeads,w,d.sequenceLength,f,p,u),{inputs:p&&u?[b,p,u]:[b],outputs:[]});let y=[b,s];h>1&&a&&xe.size(a.dims)>0&&y.push(a),p&&y.push(p),u&&y.push(u),e.compute(Rh(h,b,s,a,d,w,p,u),{inputs:y,outputs:h>1?[0,2]:[0]})},Nh=(e,r)=>{let t=[r.batchSize,r.numHeads,r.sequenceLength,r.headSize],s=r.sequenceLength,i=r.inputHiddenSize,n=r.headSize,o=12,a={x:Math.ceil(r.headSize/o),y:Math.ceil(r.sequenceLength/o),z:r.batchSize*r.numHeads},l=[e.inputs[0],e.inputs[1],e.inputs[2]],d=[{type:12,data:s},{type:12,data:i},{type:12,data:n},{type:12,data:r.numHeads},{type:12,data:r.headSize},{type:12,data:r.hiddenSize},{type:12,data:r.hiddenSize+r.hiddenSize+r.vHiddenSize}],p=u=>{let h=tt("output_q",l[0].dataType,t),w=tt("output_k",l[0].dataType,t),f=tt("output_v",l[0].dataType,t),P=$e("input",l[0].dataType,l[0].dims),A=$e("weight",l[1].dataType,l[1].dims),b=$e("bias",l[2].dataType,l[2].dims),y=P.type.storage,$=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return`
-  const TILE_SIZE = ${o}u;
-  var<workgroup> tileInput: array<${y}, ${o*o}>;
-  var<workgroup> tileWeightQ: array<${y}, ${o*o}>;
-  var<workgroup> tileWeightK: array<${y}, ${o*o}>;
-  var<workgroup> tileWeightV: array<${y}, ${o*o}>;
-  ${u.registerUniforms($).declareVariables(P,A,b,h,w,f)}
-  ${u.mainStart([o,o,1])}
-    let batchIndex = workgroup_id.z / uniforms.num_heads;
-    let headNumber = workgroup_id.z % uniforms.num_heads;
-    let m = global_id.y;
-    let n = global_id.x;
-
-    let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;
-    let biasOffsetQ = headNumber * uniforms.head_size;
-    let biasOffsetK = uniforms.hidden_size + biasOffsetQ;
-    let biasOffsetV = uniforms.hidden_size + biasOffsetK;
-
-    var valueQ = ${y}(0);
-    var valueK = ${y}(0);
-    var valueV = ${y}(0);
-    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
-      if (m < uniforms.M && w + local_id.x < uniforms.K) {
-        tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];
-      }
-      if (n < uniforms.N && w + local_id.y < uniforms.K) {
-        let offset = n + (w + local_id.y) * uniforms.ldb;
-        tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];
-        tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];
-        tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];
-      }
-      workgroupBarrier();
-      for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {
-        let inputTileOffset = TILE_SIZE * local_id.y + k;
-        let weightTileOffset = TILE_SIZE * k + local_id.x;
-        valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];
-        valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];
-        valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];
-      }
-
-      workgroupBarrier();
-    }
-
-    let headOffset = (m * uniforms.N + n) % uniforms.head_size;
-    valueQ += bias[headOffset + biasOffsetQ];
-    valueK += bias[headOffset + biasOffsetK];
-    valueV += bias[headOffset + biasOffsetV];
-
-    let offset = workgroup_id.z * uniforms.M * uniforms.N;
-    if (m < uniforms.M && n < uniforms.N) {
-      let outputIdx = offset + m * uniforms.N + n;
-      output_q[outputIdx] = valueQ;
-      output_k[outputIdx] = valueK;
-      output_v[outputIdx] = valueV;
-    }
-  }`};return e.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:a,programUniforms:d}),getShaderSource:p},{inputs:l,outputs:[-1,-1,-1]})},jh=(e,r)=>{let t=Lh(e.inputs,r),[s,i,n]=Nh(e,t);return Fi(e,s,i,n,e.inputs[4],void 0,void 0,void 0,e.inputs[5],t)}}),Uh,Vh,Wh,Gh,ov=Ue(()=>{ss(),pt(),Mt(),Yt(),xt(),Uh=(e,r)=>{if(!e||e.length!==5)throw new Error("BatchNormalization requires 5 inputs");let t=(s,i,n)=>{let o=i.length;if(o!==s.length)throw new Error(`${n}: num dimensions != ${o}`);i.forEach((a,l)=>{if(a!==s[l])throw new Error(`${n}: dim[${l}] do not match`)})};if(e[0].dims.length>1){let s=r.format==="NHWC"?r.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,r.spatial?2:void 0);t(e[1].dims,s,"Invalid input scale"),t(e[2].dims,s,"Invalid input B"),t(e[3].dims,s,"Invalid input mean"),t(e[4].dims,s,"Invalid input var")}else t(e[1].dims,[1],"Invalid input scale"),t(e[2].dims,[1],"Invalid input B"),t(e[3].dims,[1],"Invalid input mean"),t(e[4].dims,[1],"Invalid input var")},Vh=(e,r)=>{let{epsilon:t,spatial:s,format:i}=r,n=e[0].dims,o=s?Xt(n[n.length-1]):1,a=i==="NHWC"&&n.length>1?o:1,l=xe.size(n)/o,d=s,p=d?n.length:n,u=$e("x",e[0].dataType,e[0].dims,o),h=$e("scale",e[1].dataType,e[1].dims,a),w=$e("bias",e[2].dataType,e[2].dims,a),f=$e("inputMean",e[3].dataType,e[3].dims,a),P=$e("inputVar",e[4].dataType,e[4].dims,a),A=tt("y",e[0].dataType,p,o),b=()=>{let $="";if(s)$=`let cOffset = ${n.length===1?"0u":i==="NHWC"?`outputIndices[${n.length-1}] / ${o}`:"outputIndices[1]"};`;else if(i==="NCHW")$=`
-            ${A.indicesSet("outputIndices","0","0")}
-            let cOffset = ${A.indicesToOffset("outputIndices")};`;else{$=`var cIndices = ${h.type.indices}(0);
-                       cIndices[0] = outputIndices[${n.length-1}];`;for(let T=1;T<h.rank;T++)$+=`cIndices[${T}] = outputIndices[${T}];`;$+=`let cOffset = ${h.indicesToOffset("cIndices")};`}return $},y=$=>`
-  const epsilon = ${t};
-  ${$.registerUniform("outputSize","u32").declareVariables(u,h,w,f,P,A)}
-  ${$.mainStart()}
-  ${$.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-    var outputIndices = ${A.offsetToIndices(`global_idx * ${o}`)};
-    ${b()}
-    let scale = ${h.getByOffset("cOffset")};
-    let bias = ${w.getByOffset("cOffset")};
-    let inputMean = ${f.getByOffset("cOffset")};
-    let inputVar = ${P.getByOffset("cOffset")};
-    let x = ${u.getByOffset("global_idx")};
-    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
-    ${A.setByOffset("global_idx","value")}
-  }`;return{name:"BatchNormalization",shaderCache:{hint:`${r.epsilon}_${r.format}_${s}_${o}`,inputDependencies:d?["rank","type","type","type","type"]:void 0},getShaderSource:y,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:d?[{type:12,data:l},...nt(n)]:[{type:12,data:l}]})}},Wh=e=>Dt(e),Gh=(e,r)=>{let{inputs:t,outputCount:s}=e,i=Wh({...r,outputCount:s});if(Vt.webgpu.validateInputContent&&Uh(t,i),r.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");e.compute(Vh(t,i))}}),Kh,Hh,qh,av=Ue(()=>{Mt(),xt(),Kh=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(e[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Hh=e=>{let r=e[0].dims,t=e[0].dims[2],s=xe.size(r)/4,i=e[0].dataType,n=$e("input",i,r,4),o=$e("bias",i,[t],4),a=$e("residual",i,r,4),l=tt("output",i,r,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)}}),getShaderSource:d=>`
-  const channels = ${t}u / 4;
-  ${d.declareVariables(n,o,a,l)}
-
-  ${d.mainStart()}
-    ${d.guardAgainstOutOfBoundsWorkgroupSizes(s)}
-    let value = ${n.getByOffset("global_idx")}
-      + ${o.getByOffset("global_idx % channels")} + ${a.getByOffset("global_idx")};
-    ${l.setByOffset("global_idx","value")}
-  }`}},qh=e=>{Kh(e.inputs),e.compute(Hh(e.inputs))}}),Qh,$t,Xh,Jh,Yh,Zh,em,tm,rm,sm,nm,im,om,am,lm,dm,Oi,cm,Pa,um,pm,hm,mm,_m,fm,gm,wm,ym,Mm,bm,vm,xm,Tm,Em,Pm,Xd,Cm,Jd,Yd,Sm,$m,km,Im,Am,Fm,Zd=Ue(()=>{pt(),Mt(),Yt(),xt(),Qh=(e,r,t,s,i,n,o)=>{let a=Math.ceil(r/4),l="";typeof i=="string"?l=`${i}(a)`:l=i("a");let d=$e("inputData",t,[a],4),p=tt("outputData",s,[a],4),u=[{name:"vec_size",type:"u32"}];return o&&u.push(...o),`
-      ${e.registerUniforms(u).declareVariables(d,p)}
-
-  ${n??""}
-
-  ${e.mainStart()}
-    ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
-
-    let a = ${d.getByOffset("global_idx")};
-    ${p.setByOffset("global_idx",l)}
-  }`},$t=(e,r,t,s,i,n=e.dataType,o,a)=>{let l=[{type:12,data:Math.ceil(xe.size(e.dims)/4)}];return o&&l.push(...o),{name:r,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:d=>Qh(d,xe.size(e.dims),e.dataType,n,t,s,a),getRunData:d=>({outputs:[{dims:e.dims,dataType:n}],dispatchGroup:{x:Math.ceil(xe.size(d[0].dims)/64/4)},programUniforms:l})}},Xh=e=>{e.compute($t(e.inputs[0],"Abs","abs"))},Jh=e=>{e.compute($t(e.inputs[0],"Acos","acos"))},Yh=e=>{e.compute($t(e.inputs[0],"Acosh","acosh"))},Zh=e=>{e.compute($t(e.inputs[0],"Asin","asin"))},em=e=>{e.compute($t(e.inputs[0],"Asinh","asinh"))},tm=e=>{e.compute($t(e.inputs[0],"Atan","atan"))},rm=e=>{e.compute($t(e.inputs[0],"Atanh","atanh"))},sm=e=>Dt(e),nm=(e,r)=>{let t;switch(r.to){case 10:t="vec4<f16>";break;case 1:t="vec4<f32>";break;case 12:t="vec4<u32>";break;case 6:t="vec4<i32>";break;case 9:t="vec4<bool>";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${r.to}`)}e.compute($t(e.inputs[0],"Cast",t,void 0,r.cacheKey,r.to))},im=e=>{let r,t,s=e.length>=2&&e[1].data!==0,i=e.length>=3&&e[2].data!==0;switch(e[0].dataType){case 1:r=s?e[1].getFloat32Array()[0]:-34028234663852886e22,t=i?e[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:r=s?e[1].getUint16Array()[0]:64511,t=i?e[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return Dt({min:r,max:t})},om=(e,r)=>{let t=r||im(e.inputs),s=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Clip",i=>`clamp(${i}, vec4<${s}>(uniforms.min), vec4<${s}>(uniforms.max))`,void 0,t.cacheKey,void 0,[{type:e.inputs[0].dataType,data:t.min},{type:e.inputs[0].dataType,data:t.max}],[{name:"min",type:s},{name:"max",type:s}]),{inputs:[0]})},am=e=>{e.compute($t(e.inputs[0],"Ceil","ceil"))},lm=e=>{e.compute($t(e.inputs[0],"Cos","cos"))},dm=e=>{e.compute($t(e.inputs[0],"Cosh","cosh"))},Oi=e=>Dt(e),cm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Elu",s=>`elu_vf32(${s})`,`
-  const elu_alpha_ = ${t}(${r.alpha});
-
-  fn elu_f32(a: ${t}) -> ${t} {
-  return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);
-  }
-
-  fn elu_vf32(v: vec4<${t}>) -> vec4<${t}> {
-  return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));
-  }`,r.cacheKey))},Pa=(e="f32")=>`
-const r0: ${e} = 0.3275911;
-const r1: ${e} = 0.254829592;
-const r2: ${e} = -0.284496736;
-const r3: ${e} = 1.421413741;
-const r4: ${e} = -1.453152027;
-const r5: ${e} = 1.061405429;
-
-fn erf_vf32(v: vec4<${e}>) -> vec4<${e}> {
-  let absv = abs(v);
-  let x = 1.0 / (1.0 + r0 * absv);
-  return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv));
-}`,um=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Erf",t=>`erf_vf32(${t})`,Pa(r)))},pm=e=>{e.compute($t(e.inputs[0],"Exp","exp"))},hm=e=>{e.compute($t(e.inputs[0],"Floor","floor"))},mm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Gelu",t=>`0.5 * ${t} * (1.0 + erf_vf32(${t} * 0.7071067811865475))`,Pa(r)))},_m=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"LeakyRelu",s=>`select(leaky_relu_alpha_ * ${s}, ${s}, ${s} >= vec4<${t}>(0.0))`,`const leaky_relu_alpha_ = ${t}(${r.alpha});`,r.cacheKey))},fm=e=>{e.compute($t(e.inputs[0],"Not",r=>`!${r}`))},gm=e=>{e.compute($t(e.inputs[0],"Neg",r=>`-${r}`))},wm=e=>{e.compute($t(e.inputs[0],"Reciprocal",r=>`1.0/${r}`))},ym=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Relu",t=>`select(vec4<${r}>(0.0), ${t}, ${t} > vec4<${r}>(0.0))`))},Mm=e=>{e.compute($t(e.inputs[0],"Sigmoid",r=>`(1.0 / (1.0 + exp(-${r})))`))},bm=e=>Dt(e),vm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"HardSigmoid",s=>`max(vec4<${t}>(0.0), min(vec4<${t}>(1.0), ${r.alpha} * ${s} + vec4<${t}>(${r.beta})))`,void 0,r.cacheKey))},xm=e=>{e.compute($t(e.inputs[0],"Sin","sin"))},Tm=e=>{e.compute($t(e.inputs[0],"Sinh","sinh"))},Em=e=>{e.compute($t(e.inputs[0],"Sqrt","sqrt"))},Pm=e=>{e.compute($t(e.inputs[0],"Tan","tan"))},Xd=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,Cm=e=>{e.compute($t(e.inputs[0],"Tanh",Xd))},Jd=(e="f32")=>`
-const fast_gelu_a: ${e} = 0.5;
-const fast_gelu_b: ${e} = 0.7978845608028654;
-const fast_gelu_c: ${e} = 0.035677408136300125;
-
-fn tanh_v(v: vec4<${e}>) -> vec4<${e}> {
-  return ${Xd("v")};
-}
-`,Yd=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,Sm=e=>{let r=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"FastGelu",Yd,Jd(r),void 0,e.inputs[0].dataType))},$m=(e,r)=>{let t=Tr(e.inputs[0].dataType);return e.compute($t(e.inputs[0],"ThresholdedRelu",s=>`select(vec4<${t}>(0.0), ${s}, ${s} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${t}>(${r.alpha});`,r.cacheKey)),0},km=e=>{e.compute($t(e.inputs[0],"Log","log"))},Im=(e,r)=>`
-const alpha = vec4<${e}>(${r});
-const one = ${e}(1.0);
-const zero = ${e}(0.0);
-
-fn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> {
-  let v = x *alpha;
-  var x1 : vec4<${e}>;
-  for (var i = 0; i < 4; i = i + 1) {
-    if (v[i] >= zero) {
-      x1[i] = one / (one + exp(-v[i]));
-    } else {
-      x1[i] = one - one / (one + exp(v[i]));
-    }
-  }
-  return x * x1;
-}
-`,Am=e=>`quick_gelu_impl(${e})`,Fm=(e,r)=>{let t=Tr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"QuickGelu",Am,Im(t,r.alpha),r.cacheKey,e.inputs[0].dataType))}}),Om,Dm,Lm,lv=Ue(()=>{Mt(),xt(),Zd(),Om=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(e[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Dm=e=>{let r=e[0].dims.slice();r[2]=r[2]/2;let t=$e("input",e[0].dataType,e[0].dims,4),s=$e("bias",e[0].dataType,[e[0].dims[2]],4),i=tt("output",e[0].dataType,r,4),n=xe.size(r)/4,o=lr(e[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)}}),getShaderSource:a=>`
-  const M_SQRT2 = sqrt(2.0);
-  const halfChannels = ${e[0].dims[2]/4/2}u;
-
-  ${a.declareVariables(t,s,i)}
-
-  ${Pa(o)}
-
-  ${a.mainStart()}
-    ${a.guardAgainstOutOfBoundsWorkgroupSizes(n)}
-    let biasIdx = global_idx % halfChannels;
-    let batchIndex = global_idx / halfChannels;
-    let inputOffset = biasIdx + batchIndex * halfChannels * 2;
-    let valueLeft = input[inputOffset] + bias[biasIdx];
-    let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];
-    let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);
-
-    ${i.setByOffset("global_idx","valueLeft * geluRight")}
-  }`}},Lm=e=>{Om(e.inputs),e.compute(Dm(e.inputs))}}),zm,Bm,ls,Rm,Nm,jm,Um,Vm,Wm,Gm,Km,Hm,qm,dv=Ue(()=>{pt(),Mt(),xt(),zm=(e,r,t,s,i,n,o,a,l,d,p,u)=>{let h,w;typeof a=="string"?h=w=(y,$)=>`${a}((${y}),(${$}))`:typeof a=="function"?h=w=a:(h=a.scalar,w=a.vector);let f=tt("outputData",p,s.length,4),P=$e("aData",l,r.length,4),A=$e("bData",d,t.length,4),b;if(i)if(n){let y=xe.size(r)===1,$=xe.size(t)===1,T=r.length>0&&r[r.length-1]%4===0,g=t.length>0&&t[t.length-1]%4===0;y||$?b=f.setByOffset("global_idx",w(y?`${P.type.value}(${P.getByOffset("0")}.x)`:P.getByOffset("global_idx"),$?`${A.type.value}(${A.getByOffset("0")}.x)`:A.getByOffset("global_idx"))):b=`
-            let outputIndices = ${f.offsetToIndices("global_idx * 4u")};
-            let offsetA = ${P.broadcastedIndicesToOffset("outputIndices",f)};
-            let offsetB = ${A.broadcastedIndicesToOffset("outputIndices",f)};
-            ${f.setByOffset("global_idx",w(o||T?P.getByOffset("offsetA / 4u"):`${P.type.value}(${P.getByOffset("offsetA / 4u")}[offsetA % 4u])`,o||g?A.getByOffset("offsetB / 4u"):`${A.type.value}(${A.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
-          `}else b=f.setByOffset("global_idx",w(P.getByOffset("global_idx"),A.getByOffset("global_idx")));else{if(!n)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let y=($,T,g="")=>{let M=`aData[indexA${T}][componentA${T}]`,E=`bData[indexB${T}][componentB${T}]`;return`
-            let outputIndices${T} = ${f.offsetToIndices(`global_idx * 4u + ${T}u`)};
-            let offsetA${T} = ${P.broadcastedIndicesToOffset(`outputIndices${T}`,f)};
-            let offsetB${T} = ${A.broadcastedIndicesToOffset(`outputIndices${T}`,f)};
-            let indexA${T} = offsetA${T} / 4u;
-            let indexB${T} = offsetB${T} / 4u;
-            let componentA${T} = offsetA${T} % 4u;
-            let componentB${T} = offsetB${T} % 4u;
-            ${$}[${T}] = ${g}(${h(M,E)});
-          `};p===9?b=`
-            var data = vec4<u32>(0);
-            ${y("data",0,"u32")}
-            ${y("data",1,"u32")}
-            ${y("data",2,"u32")}
-            ${y("data",3,"u32")}
-            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:b=`
-            ${y("outputData[global_idx]",0)}
-            ${y("outputData[global_idx]",1)}
-            ${y("outputData[global_idx]",2)}
-            ${y("outputData[global_idx]",3)}
-          `}return`
-        ${e.registerUniform("vec_size","u32").declareVariables(P,A,f)}
-
-        ${u??""}
-
-        ${e.mainStart()}
-        ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
-        ${b}
-      }`},Bm=(e,r,t,s,i,n,o=t.dataType)=>{let a=t.dims.map(P=>Number(P)??1),l=s.dims.map(P=>Number(P)??1),d=!xe.areEqual(a,l),p=a,u=xe.size(a),h=!1,w=!1,f=[d];if(d){let P=Nn.calcShape(a,l,!1);if(!P)throw new Error("Can't perform binary op on the given tensors");p=P.slice(),u=xe.size(p);let A=xe.size(a)===1,b=xe.size(l)===1,y=a.length>0&&a[a.length-1]%4===0,$=l.length>0&&l[l.length-1]%4===0;f.push(A),f.push(b),f.push(y),f.push($);let T=1;for(let g=1;g<p.length;g++){let M=a[a.length-g],E=l[l.length-g];if(M===E)T*=M;else break}T%4===0?(w=!0,h=!0):(A||b||y||$)&&(h=!0)}else h=!0;return f.push(h),{name:e,shaderCache:{hint:r+f.map(P=>P.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:P=>zm(P,a,l,p,h,d,w,i,t.dataType,s.dataType,o,n),getRunData:()=>({outputs:[{dims:p,dataType:o}],dispatchGroup:{x:Math.ceil(u/64/4)},programUniforms:[{type:12,data:Math.ceil(xe.size(p)/4)},...nt(a,l,p)]})}},ls=(e,r,t,s,i,n)=>{e.compute(Bm(r,i??"",e.inputs[0],e.inputs[1],t,s,n))},Rm=e=>{ls(e,"Add",(r,t)=>`${r}+${t}`)},Nm=e=>{ls(e,"Div",(r,t)=>`${r}/${t}`)},jm=e=>{ls(e,"Equal",{scalar:(r,t)=>`u32(${r}==${t})`,vector:(r,t)=>`vec4<u32>(${r}==${t})`},void 0,void 0,9)},Um=e=>{ls(e,"Mul",(r,t)=>`${r}*${t}`)},Vm=e=>{let r=$e("input",e.inputs[0].dataType,e.inputs[0].dims).type.value;ls(e,"Pow",{scalar:(t,s)=>`pow_custom(${t},${s})`,vector:(t,s)=>`pow_vector_custom(${t},${s})`},`
-    fn pow_custom(a : ${r}, b : ${r}) -> ${r} {
-      if (b == ${r}(0.0)) {
-        return ${r}(1.0);
-      } else if (a < ${r}(0.0) && f32(b) != floor(f32(b))) {
-        return ${r}(pow(f32(a), f32(b))); // NaN
-      }
-      return select(sign(a), ${r}(1.0), round(f32(abs(b) % ${r}(2.0))) != 1.0) * ${r}(${r==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
-    }
-    fn pow_vector_custom(a : vec4<${r}>, b : vec4<${r}>) -> vec4<${r}> {
-      // TODO: implement vectorized pow
-      return vec4<${r}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
-    }
-      `)},Wm=e=>{ls(e,"Sub",(r,t)=>`${r}-${t}`)},Gm=e=>{ls(e,"Greater",{scalar:(r,t)=>`u32(${r}>${t})`,vector:(r,t)=>`vec4<u32>(${r}>${t})`},void 0,void 0,9)},Km=e=>{ls(e,"Less",{scalar:(r,t)=>`u32(${r}<${t})`,vector:(r,t)=>`vec4<u32>(${r}<${t})`},void 0,void 0,9)},Hm=e=>{ls(e,"GreaterOrEqual",{scalar:(r,t)=>`u32(${r}>=${t})`,vector:(r,t)=>`vec4<u32>(${r}>=${t})`},void 0,void 0,9)},qm=e=>{ls(e,"LessOrEqual",{scalar:(r,t)=>`u32(${r}<=${t})`,vector:(r,t)=>`vec4<u32>(${r}<=${t})`},void 0,void 0,9)}}),Qm,Xm,Jm,Ym,Zm,e_,cv=Ue(()=>{pt(),Mt(),Yt(),xt(),Qm=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");let t=0,s=e[t],i=s.dataType,n=s.dims.length;e.forEach((o,a)=>{if(a!==t){if(o.dataType!==i)throw new Error("input tensors should be one type");if(o.dims.length!==n)throw new Error("input tensors should have the same shape");o.dims.forEach((l,d)=>{if(d!==r&&l!==s.dims[d])throw new Error("non concat dimensions must match")})}})},Xm=(e,r)=>`
-  fn calculateInputIndex(index: u32) -> u32 {
-    let sizeInConcatAxis = array<u32, ${e}u>(${r});
-    for (var i: u32 = 0u; i < ${e}; i += 1u ) {
-      if (index < sizeInConcatAxis[i]) {
-        return i;
-      }
-    }
-    return ${e}u;
-  }`,Jm=(e,r)=>{let t=e.length,s=[];for(let i=0;i<t;++i){let n=r.setByOffset("global_idx",e[i].getByIndices("indices"));t===1?s.push(n):i===0?s.push(`if (inputIndex == ${i}u) { ${n} }`):i===t-1?s.push(`else { ${n} }`):s.push(`else if (inputIndex == ${i}) { ${n} }`)}return s.join(`
-`)},Ym=(e,r,t,s)=>{let i=xe.size(t),n=new Array(e.length),o=new Array(e.length),a=0,l=[],d=[],p=[{type:12,data:i}];for(let P=0;P<e.length;++P)a+=e[P].dims[r],n[P]=a,d.push(e[P].dims.length),o[P]=$e(`input${P}`,s,d[P]),l.push("rank"),p.push({type:12,data:n[P]});for(let P=0;P<e.length;++P)p.push(...nt(e[P].dims));p.push(...nt(t));let u=tt("output",s,t.length),h=u.indicesGet("indices",r),w=Array.from(Array(n.length).keys()).map(P=>`uniforms.sizeInConcatAxis${P}`).join(","),f=P=>`
-
-  ${(()=>{P.registerUniform("outputSize","u32");for(let A=0;A<e.length;A++)P.registerUniform(`sizeInConcatAxis${A}`,"u32");return P.declareVariables(...o,u)})()}
-
-  ${Xm(n.length,w)}
-
-  ${P.mainStart()}
-    ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-
-    var indices = ${u.offsetToIndices("global_idx")};
-
-    let inputIndex = calculateInputIndex(${h});
-    if (inputIndex != 0u) {
-      let sizeInConcatAxis = array<u32, ${n.length}u>(${w});
-      ${h} -= sizeInConcatAxis[inputIndex - 1u];
-    }
-
-    ${Jm(o,u)}
-  }`;return{name:"Concat",shaderCache:{hint:`${r}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:t,dataType:s}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:p}),getShaderSource:f}},Zm=(e,r)=>{let t=e.inputs,s=t[0].dims,i=xe.normalizeAxis(r.axis,s.length);Qm(t,i);let n=s.slice();n[i]=t.reduce((a,l)=>a+(l.dims.length>i?l.dims[i]:0),0);let o=t.filter(a=>xe.size(a.dims)>0);e.compute(Ym(o,i,n,t[0].dataType),{inputs:o})},e_=e=>Dt({axis:e.axis})}),fn,gn,wn,ec,yn=Ue(()=>{pt(),Mt(),fn=(e,r,t="f32")=>{switch(e.activation){case"Relu":return`value = max(value, ${r}(0.0));`;case"Sigmoid":return`value = (${r}(1.0) / (${r}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${r}(${t}(uniforms.clip_min)), ${r}(${t}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${r}(0.0), min(${r}(1.0), ${t}(uniforms.alpha) * value + ${t}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${t}(uniforms.alpha) * value, value, value >= ${r}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value));
-              value = sign(value) * (1.0 - e2x) / (1.0 + e2x);
-        `;case"":return"";default:throw new Error(`Unsupported activation ${e.activation}`)}},gn=(e,r)=>{e.activation==="Clip"?r.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation==="HardSigmoid"?r.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation==="LeakyRelu"&&r.push({type:1,data:e.alpha})},wn=(e,r)=>{e.activation==="Clip"?r.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):e.activation==="HardSigmoid"?r.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):e.activation==="LeakyRelu"&&r.push({name:"alpha",type:"f32"})},ec=e=>{let r=(e==null?void 0:e.activation)||"";if(r==="HardSigmoid"){let[t,s]=(e==null?void 0:e.activation_params)||[.2,.5];return{activation:r,alpha:t,beta:s}}else if(r==="Clip"){let[t,s]=(e==null?void 0:e.activation_params)||[Dp,Lp];return{activation:r,clipMax:s,clipMin:t}}else if(r==="LeakyRelu"){let[t]=(e==null?void 0:e.activation_params)||[.01];return{activation:r,alpha:t}}return{activation:r}}}),hr,t_,tc=Ue(()=>{hr=(e,r)=>{switch(e){case 1:return r;case 2:return`vec2<${r}>`;case 3:return`vec3<${r}>`;case 4:return`vec4<${r}>`;default:throw new Error(`${e}-component is not supported.`)}},t_=e=>`
-      ${e?"value = value + getBiasByOutputCoords(coords);":""}
-      `}),r_,uv=Ue(()=>{r_=e=>`
-fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
-  return dot(coords, vec4<i32>(
-      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
-}
-fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
-  return dot(coords, vec4<i32>(
-    i32(${e}.x), i32(${e}.y), i32(${e}.z), 1));
-}
-`}),Di,rc,sc=Ue(()=>{pt(),Mt(),xt(),yn(),Di=(e,r,t,s,i)=>{let n=s-t;return`
-      ${Array.from({length:t}).map((o,a)=>`
-      if (${rt(r.shape,a,r.rank)} != 1) {
-        ${r.indicesSet(e,a,rt(i,a+n,s))}
-      } else {
-        ${r.indicesSet(e,a,0)}
-      }`).join("")}
-`},rc=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o[o.length-2],d=a[a.length-1],p=o[o.length-1],u=Xt(d),h=Xt(p),w=Xt(l),f=xe.size(t)/u/w,P=e.length>2,A=s?s.slice(0,-2):t.slice(0,-2),b=[xe.size(A),l,d],y=[{type:12,data:f},{type:12,data:l},{type:12,data:d},{type:12,data:p}];gn(r,y),y.push(...nt(A,o,a)),P&&y.push(...nt(e[2].dims)),y.push(...nt(b));let $=T=>{let g=Vd("batch_dims",e[0].dataType,A.length),M=$e("a",e[0].dataType,o.length,h),E=$e("b",e[1].dataType,a.length,u),k=tt("output",e[0].dataType,b.length,u),B=lr(k.type.tensor),N=fn(r,k.type.value,B),J=[M,E],q="";if(P){let H=i?u:1;J.push($e("bias",e[2].dataType,e[2].dims.length,H)),q=`${i?`value += bias[col / ${H}];`:`value += ${k.type.value}(bias[row + i]);`}`}let V=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];wn(r,V);let Y=()=>{let H=`var a_data: ${M.type.value};`;for(let Q=0;Q<h;Q++)H+=`
-              let b_data${Q} = b[(b_offset + (k + ${Q}) * uniforms.N + col) / ${u}];`;for(let Q=0;Q<w;Q++){H+=`a_data = a[(a_offset + (row + ${Q}) * uniforms.K + k) / ${h}];`;for(let ie=0;ie<h;ie++)H+=`
-            values[${Q}] = fma(${E.type.value}(a_data${h===1?"":`[${ie}]`}), b_data${ie}, values[${Q}]);
-`}return H};return`
-  ${T.registerUniforms(V).registerInternalVariables(g).declareVariables(...J,k)}
-  ${T.mainStart()}
-    ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-    let col = (global_idx % (uniforms.N / ${u})) * ${u};
-    var index1 = global_idx / (uniforms.N / ${u});
-    let stride1 = uniforms.M / ${w};
-    let row = (index1 % stride1) * ${w};
-    let batch = index1 / stride1;
-
-    ${t.length===2?"":`let batch_indices = ${g.offsetToIndices("batch")};`}
-
-    var a_indices: ${M.type.indices};
-    ${Di("a_indices",M,M.rank-2,g.rank,"batch_indices")}
-    ${M.indicesSet("a_indices",M.rank-2,0)}
-    ${M.indicesSet("a_indices",M.rank-1,0)}
-    let a_offset = ${M.indicesToOffset("a_indices")};
-
-    var b_indices: ${E.type.indices};
-    ${Di("b_indices",E,E.rank-2,g.rank,"batch_indices")}
-    ${E.indicesSet("b_indices",E.rank-2,0)}
-    ${E.indicesSet("b_indices",E.rank-1,0)}
-    let b_offset = ${E.indicesToOffset("b_indices")};
-    var values: array<${k.type.value}, ${w}>;
-    for (var k: u32 = 0u; k < uniforms.K; k = k + ${h}) {
-      ${Y()}
-    }
-    for (var i = 0u; i < ${w}u; i++) {
-      var value = values[i];
-      ${q}
-      ${N}
-      let cur_indices = ${k.type.indices}(batch, row + i, col);
-      let offset = ${k.indicesToOffset("cur_indices")};
-      ${k.setByOffset(`offset / ${u}`,"value")};
-    }
-  }
-  `};return{name:"MatMulNaive",shaderCache:{hint:`${r.activation};${u};${h};${w};${i}`,inputDependencies:P?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(f/64)},programUniforms:y}),getShaderSource:$}}}),s_,n_,nc,ic,i_,oc,o_,Ca,ac=Ue(()=>{pt(),Mt(),xt(),yn(),sc(),tc(),s_=(e,r)=>e?`
-        mm_Asub[inputRow][inputCol] = mm_readA(batch,
-          kStart + inputRow,
-          globalRowStart / innerElementSize + inputCol${r?", batchIndices":""});
-        `:`
-        mm_Asub[inputRow][inputCol] = mm_readA(batch,
-          globalRow + innerRow,
-          kStart / innerElementSize + inputCol${r?", batchIndices":""});
-        `,n_=(e,r)=>e?`
-        let ACached0 = mm_Asub[k * innerElementSize][localRow];
-        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
-        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
-        ${r===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}
-        for (var i = 0; i < rowPerThread; i = i + 1) {
-          acc[i] = BCached0 * ACached0[i] + acc[i];
-          acc[i] = BCached1 * ACached1[i] + acc[i];
-          acc[i] = BCached2 * ACached2[i] + acc[i];
-          ${r===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}
-        }`:`
-        for (var i = 0; i < rowPerThread; i = i + 1) {
-          let ACached = mm_Asub[tileRow + i][k];
-          acc[i] = BCached0 * ACached.x + acc[i];
-          acc[i] = BCached1 * ACached.y + acc[i];
-          acc[i] = BCached2 * ACached.z + acc[i];
-          ${r===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
-        }`,nc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32)=>{let l=r[1]*e[1],d=r[0]*e[0],p=i?l:n,u=i?n:l,h=p/r[0],w=n/r[1];if(!((i&&h===4&&e[1]===4||!i&&(h===3||h===4))&&p%r[0]===0&&n%r[1]===0&&e[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${h} and workPerThread[1] ${e[1]} must be 4.
-      Otherwise, innerElementSize ${h} must be 3 or 4.
-  tileAWidth ${p} must be divisible by workgroupSize[0]${r[0]}. tileInner ${n} must be divisible by workgroupSize[1] ${r[1]}. colPerThread ${e[0]} must be 4.`);return`
-var<workgroup> mm_Asub: array<array<vec${h}<${t}>, ${p/h}>, ${u}>;
-var<workgroup> mm_Bsub: array<array<vec4<${t}>, ${d/e[0]}>, ${n}>;
-
-const rowPerThread = ${e[1]};
-const colPerThread = ${e[0]};
-const innerElementSize = ${h};
-const tileInner = ${n};
-
-@compute @workgroup_size(${r[0]}, ${r[1]}, ${r[2]})
-fn main(@builtin(local_invocation_id) localId : vec3<u32>,
-        @builtin(global_invocation_id) globalId : vec3<u32>,
-        @builtin(workgroup_id) workgroupId : vec3<u32>) {
-  let localRow = i32(localId.y);
-  let tileRow = localRow * rowPerThread;
-  let tileCol = i32(localId.x);
-
-  let globalRow =i32(globalId.y) * rowPerThread;
-  let globalCol = i32(globalId.x);
-  let batch = ${o?"0":"i32(globalId.z)"};
-  ${s?`let batchIndices = ${s.offsetToIndices("u32(batch)")};`:""}
-  let globalRowStart = i32(workgroupId.y) * ${l};
-
-  let num_tiles = ${o?`${Math.ceil(a/n)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
-  var kStart = ${o?`i32(globalId.z) * ${a}`:"0"};
-
-  var acc: array<vec4<${t}>, rowPerThread>;
-
-  // Loop over shared dimension.
-  let tileRowB = localRow * ${w};
-  for (var t = 0; t < num_tiles; t = t + 1) {
-      // Load one tile of A into local memory.
-      for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
-          let inputRow = tileRow + innerRow;
-          let inputCol = tileCol;
-          ${s_(i,s)}
-      }
-
-      // Load one tile of B into local memory.
-      for (var innerRow = 0; innerRow < ${w}; innerRow = innerRow + 1) {
-          let inputRow = tileRowB + innerRow;
-          let inputCol = tileCol;
-          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${s?", batchIndices":""});
-      }
-      kStart = kStart + tileInner;
-      workgroupBarrier();
-
-      // Compute acc values for a single thread.
-      for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {
-          let BCached0 = mm_Bsub[k * innerElementSize][tileCol];
-          let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];
-          let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];
-          ${h===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}
-
-          ${n_(i,h)}
-      }
-
-      workgroupBarrier();
-  }
-
-  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
-      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
-  }
-}`},ic=(e,r)=>e?`
-            mm_Asub[inputRow][inputCol] = mm_readA(batch,
-              kStart + inputRow,
-              globalRowStart + inputCol${r?", batchIndices":""});
-            `:`
-            mm_Asub[inputRow][inputCol] = mm_readA(batch,
-              globalRowStart + inputRow,
-              kStart + inputCol${r?", batchIndices":""});
-            `,i_=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",oc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32,l=!1)=>{let d=e[1]*r[1],p=e[0]*r[0],u=i?d:n,h=i?n:d;if(!(h%r[1]===0&&u%r[0]===0&&n%r[1]===0))throw new Error(`tileAHight ${h} must be divisible by workgroupSize[1]${r[1]}, tileAWidth ${u} must be divisible by workgroupSize[0]${r[0]}, tileInner ${n} must be divisible by workgroupSize[1]${r[1]}`);let w=h/r[1],f=u/r[0],P=n/r[1],A=l?`
-    let localRow = i32(localId.y);
-    let localCol = i32(localId.x);
-    let globalRowStart = i32(workgroupId.y) * ${d};
-    let globalColStart = i32(workgroupId.x) * ${p};
-
-    // Loop over shared dimension.
-    for (var t = 0; t < num_tiles; t = t + 1) {
-      // Load one tile of A into local memory.
-      for (var inputRow = localRow; inputRow < ${h}; inputRow = inputRow + ${r[1]}) {
-        for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${r[0]}) {
-          ${ic(i,s)}
-        }
-      }
-      // Load one tile of B into local memory.
-      for (var inputRow = localRow; inputRow < ${n}; inputRow = inputRow + ${r[1]}) {
-            for (var inputCol = localCol; inputCol < ${p}; inputCol = inputCol + ${r[0]}) {
-          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
-            kStart + inputRow,
-            globalColStart + inputCol${s?", batchIndices":""});
-        }
-      }
-      kStart = kStart + tileInner;
-      workgroupBarrier();
-
-      // Compute acc values for a single thread.
-      var BCached : array<${t}, colPerThread>;
-      for (var k = 0; k < tileInner; k = k + 1) {
-        for (var inner = 0; inner < colPerThread; inner = inner + 1) {
-          BCached[inner] = mm_Bsub[k][localCol + inner * ${r[0]}];
-        }
-        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
-          let ACached = ${i?`mm_Asub[k][localRow + innerRow * ${r[1]}];`:`mm_Asub[localRow + innerRow * ${r[1]}][k];`}
-          for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
-            acc[innerRow][innerCol] = acc[innerRow][innerCol] +
-                ACached * BCached[innerCol];
-          }
-        }
-      }
-      workgroupBarrier();
-    }
-    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
-      let gRow = globalRowStart + localRow + innerRow * ${r[1]};
-      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
-        let gCol = globalColStart + localCol + innerCol * ${r[0]};
-        mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);
-      }
-    }
-    `:`
-let tileRow = i32(localId.y) * rowPerThread;
-let tileCol = i32(localId.x) * colPerThread;
-
-let globalRow = i32(globalId.y) * rowPerThread;
-let globalCol = i32(globalId.x) * colPerThread;
-let globalRowStart = i32(workgroupId.y) * ${d};
-
-let tileRowA = i32(localId.y) * ${w};
-let tileColA = i32(localId.x) * ${f};
-let tileRowB = i32(localId.y) * ${P};
-// Loop over shared dimension.
-for (var t = 0; t < num_tiles; t = t + 1) {
-  // Load one tile of A into local memory.
-  for (var innerRow = 0; innerRow < ${w}; innerRow = innerRow + 1) {
-    for (var innerCol = 0; innerCol < ${f}; innerCol = innerCol + 1) {
-      let inputRow = tileRowA + innerRow;
-      let inputCol = tileColA + innerCol;
-      ${ic(i,s)}
-    }
-  }
-
-  // Load one tile of B into local memory.
-  for (var innerRow = 0; innerRow < ${P}; innerRow = innerRow + 1) {
-    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
-      let inputRow = tileRowB + innerRow;
-      let inputCol = tileCol + innerCol;
-      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
-        kStart + inputRow,
-        globalCol + innerCol${s?", batchIndices":""});
-    }
-  }
-  kStart = kStart + tileInner;
-  workgroupBarrier();
-
-  // Compute acc values for a single thread.
-  var BCached : array<${t}, colPerThread>;
-  for (var k = 0; k < tileInner; k = k + 1) {
-    for (var inner = 0; inner < colPerThread; inner = inner + 1) {
-      BCached[inner] = mm_Bsub[k][tileCol + inner];
-    }
-
-    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
-      ${i_(i)}
-      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
-        acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];
-      }
-    }
-  }
-
-  workgroupBarrier();
-}
-
-for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
-  for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
-    mm_write(batch, globalRow + innerRow, globalCol + innerCol,
-        acc[innerRow][innerCol]);
-  }
-}
-`;return`
-  var<workgroup> mm_Asub : array<array<${t}, ${u}>, ${h}>;
-  var<workgroup> mm_Bsub : array<array<${t}, ${p}>, ${n}>;
-  const rowPerThread = ${e[1]};
-  const colPerThread = ${e[0]};
-  const tileInner = ${n};
-
-@compute @workgroup_size(${r[0]}, ${r[1]}, ${r[2]})
-fn main(@builtin(local_invocation_id) localId : vec3<u32>,
-        @builtin(global_invocation_id) globalId : vec3<u32>,
-        @builtin(workgroup_id) workgroupId : vec3<u32>) {
-    let batch = ${o?"0":"i32(globalId.z)"};
-    ${s?`let batchIndices = ${s.offsetToIndices("u32(batch)")};`:""}
-    let num_tiles = ${o?`${Math.ceil(a/n)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
-    var kStart = ${o?`i32(globalId.z) * ${a}`:"0"};
-
-    var acc : array<array<${t}, colPerThread>, rowPerThread>;
-    ${A}
-  }
-`},o_=(e,r,t,s,i=!1)=>{let[n,o,a,l]=s,d=lr(s[0].type.tensor);return`
-    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${n.type.indices}) -> ${hr(e,d)} {
-      var value = ${hr(e,d)}(0.0);
-      let col = colIn * ${e};
-      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
-      {
-        var aIndices: ${o.type.indices};
-        ${Di("aIndices",o,o.rank-2,n.rank,"batchIndices")}
-        ${o.indicesSet("aIndices",o.rank-2,"u32(row)")}
-        ${o.indicesSet("aIndices",o.rank-1,"u32(colIn)")}
-        value = ${o.getByIndices("aIndices")};
-      }
-      return value;
-    }
-
-    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${n.type.indices}) -> ${hr(e,d)} {
-      var value = ${hr(e,d)}(0.0);
-      let col = colIn * ${e};
-      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
-      {
-        var bIndices: ${a.type.indices};
-        ${Di("bIndices",a,a.rank-2,n.rank,"batchIndices")}
-        ${a.indicesSet("bIndices",a.rank-2,"u32(row)")}
-        ${a.indicesSet("bIndices",a.rank-1,"u32(colIn)")}
-        value = ${a.getByIndices("bIndices")};
-      }
-      return value;
-    }
-
-    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${hr(e,d)}) {
-      let col = colIn * ${e};
-      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
-        var value = valueIn;
-        let coords = vec3<i32>(batch, row, colIn);
-        ${r?`value = value + ${i?"bias[colIn]":`${hr(e,d)}(bias[row])`};`:""}
-        ${t}
-        ${l.setByIndices("vec3<u32>(coords)","value")}
-      }
-    }
-    `},Ca=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o.slice(0,-2),d=a.slice(0,-2),p=s?s.slice(0,-2):t.slice(0,-2),u=xe.size(p),h=o[o.length-2],w=o[o.length-1],f=a[a.length-1],P=w%4===0&&f%4===0,A=h<=8?[4,1,1]:[4,4,1],b=[8,8,1],y=[Math.ceil(f/b[0]/A[0]),Math.ceil(h/b[1]/A[1]),Math.ceil(u/b[2]/A[2])],$=P?4:1,T=[...l,h,w/$],g=T.length,M=[...d,w,f/$],E=M.length,k=[u,h,f/$],B=[{type:6,data:h},{type:6,data:f},{type:6,data:w}];gn(r,B),B.push(...nt(p,T,M));let N=["rank","rank"],J=e.length>2;J&&(B.push(...nt(e[2].dims)),N.push("rank")),B.push(...nt(k));let q=V=>{let Y=p.length,H=Vd("batchDims",e[0].dataType,Y,1),Q=lr(e[0].dataType),ie=$e("a",e[0].dataType,g,$),le=$e("b",e[1].dataType,E,$),ae=tt("result",e[0].dataType,k.length,$),we=[ie,le];if(J){let X=i?$:1;we.push($e("bias",e[2].dataType,e[2].dims.length,X))}let R=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];wn(r,R);let O=lr(ae.type.tensor),G=fn(r,ae.type.value,O),ne=o_($,J,G,[H,ie,le,ae],i);return`
-  ${V.registerUniforms(R).registerInternalVariables(H).declareVariables(...we,ae)}
-  ${ne}
-  ${P?nc(A,b,Q,H):oc(A,b,Q,H)}
-                   `};return{name:"MatMul",shaderCache:{hint:`${A};${r.activation};${P};${i}`,inputDependencies:N},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:y[0],y:y[1],z:y[2]},programUniforms:B}),getShaderSource:q}}}),a_,l_,pv=Ue(()=>{pt(),ks(),xt(),yn(),tc(),uv(),ac(),a_=(e,r,t,s,i=!1,n,o=4,a=4,l=4,d="f32")=>{let p=B=>{switch(B){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${d}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${B} is not supported.`)}},u=B=>{switch(B){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${B} is not supported.`)}},h=e?`
-    let coord = vec4<i32>(batch, xRow, xCol, xCh);
-    `:`
-    let coord = vec4<i32>(batch, xCh, xRow, xCol);
-    `,w=e?`
-    let coords = vec4<i32>(
-      batch,
-      row / outWidth,
-      row % outWidth,
-      col);
-    `:`
-    let coords = vec4<i32>(
-      batch,
-      row,
-      col / outWidth,
-      col % outWidth);
-    `,f=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",P=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",A=e?"row":"col",b=e?"col":"row",y=`
-    let inChannels = i32(uniforms.w_shape[2]);
-    let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
-    let outRow = ${A} / outWidth;
-    let outCol = ${A} % outWidth;
-
-    let WRow = ${b} / (i32(uniforms.w_shape[1]) * inChannels);
-    let WCol = ${b} / inChannels % i32(uniforms.w_shape[1]);
-    let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];
-    let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];
-    let xCh = ${b} % inChannels;
-    var resData = ${hr(o,d)}(0.0);
-    // The bounds checking is always needed since we use it to pad zero for
-    // the 'same' padding type.
-    if (xRow >= 0 && xRow < ${f} && xCol >= 0 && xCol < ${P}) {
-      ${h}
-      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
-      ${p(o)}
-    }
-    return resData;`,$=e?r&&s?`
-    let col = colIn * ${o};
-    ${y}`:`
-    let col = colIn * ${o};
-    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
-      ${y}
-    }
-    return ${hr(o,d)}(0.0);`:s&&t?`
-    let col = colIn * ${o};
-    ${y}`:`
-    let col = colIn * ${o};
-    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
-      ${y}
-    }
-    return ${hr(o,d)}(0.0);`,T=e?s&&t?u(a):`
-    let col = colIn * ${a};
-    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
-      ${u(a)}
-    }
-    return ${hr(a,d)}(0.0);`:`
-    let col = colIn * ${a};
-    if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {
-      ${u(a)}
-    }
-    return ${hr(a,d)}(0.0);`,g=hr(l,d),M=hr(e?o:a,d),E=hr(e?a:o,d),k=fn(n,g,d);return`
-    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${M} {
-      ${e?$:T}
-    }
-
-    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${E} {
-      ${e?T:$}
-    }
-
-    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${g}) {
-      let col = colIn * ${l};
-      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
-      {
-      var value = valueIn;
-      let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
-      ${w}
-      ${t_(i)}
-      ${k}
-      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
-      }
-    }`},l_=(e,r,t,s,i,n,o,a,l)=>{let d=r.format==="NHWC",p=d?e[0].dims[3]:e[0].dims[1],u=t[0],h=d?t[2]:t[3],w=d?t[1]:t[2],f=d?t[3]:t[1],P=d&&(p%4===0||p%3===0)&&f%4===0,A=d?f:h*w,b=d?h*w:f,y=[8,8,1],$=s<=8?[4,1,1]:[4,4,1],T=[Math.ceil(A/y[0]/$[0]),Math.ceil(b/y[1]/$[1]),Math.ceil(u/y[2]/$[2])];St("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${T}`);let g=P?d&&p%4!==0?3:4:1,M=y[1]*$[1],E=y[0]*$[0],k=Math.max(y[0]*g,y[1]),B=s%M===0,N=i%E===0,J=n%k===0,q=P?[g,4,4]:[1,1,1],V=[{type:6,data:s},{type:6,data:i},{type:6,data:n},{type:6,data:[r.pads[0],r.pads[1]]},{type:6,data:r.strides},{type:6,data:r.dilations}];gn(r,V),V.push(...nt(e[0].dims,e[1].dims));let Y=["rank","rank"];o&&(V.push(...nt(e[2].dims)),Y.push("rank")),V.push(...nt(t));let H=Q=>{let ie=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];wn(r,ie);let le=P?4:1,ae=lr(e[0].dataType),we=`
-      fn setOutputAtIndex(flatIndex : i32, value : ${P?`vec4<${ae}>`:ae}) {
-        result[flatIndex] = ${P?`vec4<${ae}>`:ae}(value);
-      }
-      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${P?`vec4<${ae}>`:ae}) {
-        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
-        setOutputAtIndex(flatIndex ${P?"/ 4":""}, value);
-      }`,R=$e("x",e[0].dataType,e[0].dims.length,g===3?1:g),O=$e("w",e[1].dataType,e[1].dims.length,le),G=[R,O],ne=tt("result",e[0].dataType,t.length,le);if(o){let X=$e("bias",e[2].dataType,e[2].dims.length,le);G.push(X),we+=`
-        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${P?`vec4<${ae}>`:ae} {
-          return bias[coords.${d?"w":"y"}${P?"/ 4":""}];
-        }`}return`
-        ${r_("uniforms.result_strides")}
-        //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,
-        //  outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,
-        //  dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };
-        ${Q.registerUniforms(ie).declareVariables(...G,ne)}
-        ${we}
-        ${a_(d,B,N,J,o,r,q[0],q[1],q[2],ae)}
-        ${P?nc($,y,ae,void 0,!d,k):oc($,y,ae,void 0,!d,k,!1,void 0,a)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${r.cacheKey};${g};${P};${B};${N};${J};${M};${E};${k}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:l?l(t):t,dataType:e[0].dataType}],dispatchGroup:{x:T[0],y:T[1],z:T[2]},programUniforms:V}),getShaderSource:H}}}),d_,lc,Li,c_,dc,u_,p_,h_,hv=Ue(()=>{pt(),ks(),Mt(),xt(),yn(),tc(),d_=e=>{let r=1;for(let t=0;t<e.length;t++)r*=e[t];return r},lc=e=>typeof e=="number"?[e,e,e]:e,Li=(e,r)=>r<=1?e:e+(e-1)*(r-1),c_=(e,r,t,s=1)=>{let i=Li(r,s);return Math.floor((e[0]*(t-1)-t+i)/2)},dc=(e,r,t,s,i)=>{i==null&&(i=c_(e,r[0],s[0]));let n=[0,0,0,t];for(let o=0;o<3;o++)e[o]+2*i>=r[o]&&(n[o]=Math.trunc((e[o]-r[o]+2*i)/s[o]+1));return n},u_=(e,r,t,s,i,n,o,a,l,d)=>{let p,u,h,w;if(e==="VALID"&&(e=0),typeof e=="number"){p={top:e,bottom:e,left:e,right:e,front:e,back:e};let f=dc([r,t,s,1],[a,l,d],1,[i,n,o],e);u=f[0],h=f[1],w=f[2]}else if(Array.isArray(e)){if(!e.every((P,A,b)=>P===b[0]))throw Error(`Unsupported padding parameter: ${e}`);p={top:e[0],bottom:e[1],left:e[2],right:e[3],front:e[4],back:e[5]};let f=dc([r,t,s,1],[a,l,d],1,[i,n,o],e[0]);u=f[0],h=f[1],w=f[2]}else if(e==="SAME_UPPER"){u=Math.ceil(r/i),h=Math.ceil(t/n),w=Math.ceil(s/o);let f=(u-1)*i+a-r,P=(h-1)*n+l-t,A=(w-1)*o+d-s,b=Math.floor(f/2),y=f-b,$=Math.floor(P/2),T=P-$,g=Math.floor(A/2),M=A-g;p={top:$,bottom:T,left:g,right:M,front:b,back:y}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:p,outDepth:u,outHeight:h,outWidth:w}},p_=(e,r,t,s,i,n=!1,o="channelsLast")=>{let a,l,d,p,u;if(o==="channelsLast")[a,l,d,p,u]=e;else if(o==="channelsFirst")[a,u,l,d,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[h,,w,f,P]=r,[A,b,y]=lc(t),[$,T,g]=lc(s),M=Li(w,$),E=Li(f,T),k=Li(P,g),{padInfo:B,outDepth:N,outHeight:J,outWidth:q}=u_(i,l,d,p,A,b,y,M,E,k),V=n?h*u:h,Y=[0,0,0,0,0];return o==="channelsFirst"?Y=[a,V,N,J,q]:o==="channelsLast"&&(Y=[a,N,J,q,V]),{batchSize:a,dataFormat:o,inDepth:l,inHeight:d,inWidth:p,inChannels:u,outDepth:N,outHeight:J,outWidth:q,outChannels:V,padInfo:B,strideDepth:A,strideHeight:b,strideWidth:y,filterDepth:w,filterHeight:f,filterWidth:P,effectiveFilterDepth:M,effectiveFilterHeight:E,effectiveFilterWidth:k,dilationDepth:$,dilationHeight:T,dilationWidth:g,inShape:e,outShape:Y,filterShape:r}},h_=(e,r,t,s,i,n)=>{let o=n==="channelsLast";o?e[0].dims[3]:e[0].dims[1];let a=[64,1,1],l={x:t.map((A,b)=>b)},d=[Math.ceil(d_(l.x.map(A=>t[A]))/a[0]),1,1];St("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${d}`);let p=1,u=xe.size(t),h=[{type:12,data:u},{type:12,data:s},{type:12,data:i},{type:12,data:r.strides},{type:12,data:r.dilations}];gn(r,h),h.push(...nt(e[0].dims,e[1].dims));let w=["rank","rank"],f=e.length===3;f&&(h.push(...nt(e[2].dims)),w.push("rank")),h.push(...nt(t));let P=A=>{let b=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:s.length},{name:"pads",type:"u32",length:i.length},{name:"strides",type:"u32",length:r.strides.length},{name:"dilations",type:"u32",length:r.dilations.length}];wn(r,b);let y=1,$=lr(e[0].dataType),T=$e("x",e[0].dataType,e[0].dims.length,p),g=$e("W",e[1].dataType,e[1].dims.length,y),M=[T,g],E=tt("result",e[0].dataType,t.length,y),k="";if(f){let J=$e("bias",e[2].dataType,e[2].dims.length,y);M.push(J),k+=`
-        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${$} {
-          return bias[${o?rt("coords",4,5):rt("coords",1,5)}];
-        }`}let B=hr(p,$),N=fn(r,B,$);return`
-            ${k}
-            fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
-              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
-              return ${T.getByIndices("aIndices")};
-            }
-            fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
-              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
-              return ${g.getByIndices("aIndices")};
-            }
-          ${A.registerUniforms(b).declareVariables(...M,E)}
-          ${A.mainStart()}
-          ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-              let coords = ${E.offsetToIndices("global_idx")};
-              let batch = ${rt("coords",0,T.rank)};
-              let d2 = ${o?rt("coords",T.rank-1,T.rank):rt("coords",1,T.rank)};
-              let xFRCCorner = vec3<u32>(${o?rt("coords",1,T.rank):rt("coords",2,T.rank)},
-              ${o?rt("coords",2,T.rank):rt("coords",3,T.rank)},
-              ${o?rt("coords",3,T.rank):rt("coords",4,T.rank)}) * uniforms.strides - uniforms.pads;
-              let xFCorner = xFRCCorner.x;
-              let xRCorner = xFRCCorner.y;
-              let xCCorner = xFRCCorner.z;
-              let xShapeY = ${o?rt("uniforms.x_shape",1,T.rank):rt("uniforms.x_shape",2,T.rank)};
-              let xShapeZ = ${o?rt("uniforms.x_shape",2,T.rank):rt("uniforms.x_shape",3,T.rank)};
-              let xShapeW = ${o?rt("uniforms.x_shape",3,T.rank):rt("uniforms.x_shape",4,T.rank)};
-              let xShapeU = ${o?rt("uniforms.x_shape",4,T.rank):rt("uniforms.x_shape",1,T.rank)};
-              let inputDepthNearestVec4 = (xShapeU / 4) * 4;
-              let inputDepthVec4Remainder = xShapeU % 4;
-
-              var value = 0.0;
-              for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) {
-                let xF = xFCorner + wF * uniforms.dilations[0];
-                if (xF < 0 || xF >= xShapeY) {
-                  continue;
-                }
-
-                for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) {
-                  let xR = xRCorner + wR * uniforms.dilations[1];
-                  if (xR < 0 || xR >= xShapeZ) {
-                    continue;
-                  }
-
-                  for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) {
-                    let xC = xCCorner + wC * uniforms.dilations[2];
-                    if (xC < 0 || xC >= xShapeW) {
-                      continue;
-                    }
-
-                    for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) {
-                      ${o?`let xValues = vec4<f32>(
-                               getX(batch, xF, xR, xC, d1),
-                               getX(batch, xF, xR, xC, d1 + 1),
-                               getX(batch, xF, xR, xC, d1 + 2),
-                               getX(batch, xF, xR, xC, d1 + 3));
-                            `:`let xValues = vec4<f32>(
-                               getX(batch, d1, xF, xR, xC),
-                               getX(batch, d1 + 1, xF, xR, xC),
-                               getX(batch, d1 + 2, xF, xR, xC),
-                               getX(batch, d1 + 3, xF, xR, xC));
-                            `}
-                            let wValues = vec4<f32>(
-                              getW(d2, d1, wF, wR, wC),
-                              getW(d2, d1 + 1, wF, wR, wC),
-                              getW(d2, d1 + 2, wF, wR, wC),
-                              getW(d2, d1 + 3, wF, wR, wC));
-                      value += dot(xValues, wValues);
-                    }
-                    if (inputDepthVec4Remainder == 1) {
-                        ${o?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4)
-                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC)
-                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`}
-                    } else if (inputDepthVec4Remainder == 2) {
-                      ${o?`let xValues = vec2<f32>(
-                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
-                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1));
-                      `:`let xValues = vec2<f32>(
-                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
-                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC));
-                    `}
-                    let wValues = vec2<f32>(
-                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
-                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC));
-                      value += dot(xValues, wValues);
-                    } else if (inputDepthVec4Remainder == 3) {
-                      ${o?`let xValues = vec3<f32>(
-                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
-                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),
-                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2));
-                      `:`let xValues = vec3<f32>(
-                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
-                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC),
-                        getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC));
-                    `}
-                    let wValues = vec3<f32>(
-                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
-                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC),
-                      getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC));
-                      value += dot(xValues, wValues);
-                    }
-                  }
-                }
-              }
-              ${f?"value = value + getBiasByOutputCoords(coords)":""};
-              ${N}
-              result[global_idx] = f32(value);
-          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${r.cacheKey};${o};${p};${f}`,inputDependencies:w},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:d[0],y:d[1],z:d[2]},programUniforms:h}),getShaderSource:P}}}),m_,__,mv=Ue(()=>{pt(),Mt(),xt(),yn(),m_=(e,r,t,s)=>{let i=e.length>2,n=i?"value += b[output_channel];":"",o=e[0].dims,a=e[1].dims,l=r.format==="NHWC",d=l?t[3]:t[1],p=d/r.group,u=l&&p>=4?Xt(d):1,h=xe.size(t)/u,w=[{type:12,data:h},{type:12,data:r.dilations},{type:12,data:[r.strides[0],r.strides[1]]},{type:12,data:[r.pads[0],r.pads[1]]},{type:12,data:p}];gn(r,w),w.push(...nt(o,[a[0],a[1],a[2],a[3]/u]));let f=i?["rank","rank","rank"]:["rank","rank"];w.push(...nt([t[0],t[1],t[2],t[3]/u]));let P=A=>{let b=tt("output",e[0].dataType,t.length,u),y=lr(b.type.tensor),$=fn(r,b.type.value,y),T=$e("x",e[0].dataType,o.length),g=$e("w",e[1].dataType,a.length,u),M=[T,g];i&&M.push($e("b",e[2].dataType,e[2].dims,u));let E=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:r.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];wn(r,E);let k=l?`
-      for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) {
-        let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];
-
-        if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) {
-          continue;
-        }
-
-        for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) {
-          let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
-          if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) {
-            continue;
-          }
-
-          for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) {
-            let input_channel = in_channel_offset + wInChannel;
-            let xVal = ${T.get("batch","xHeight","xWidth","input_channel")};
-            let wVal = ${g.get("wHeight","wWidth","wInChannel","output_channel")};
-            value += xVal * wVal;
-          }
-        }
-      }
-      `:`
-      for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
-        let input_channel = in_channel_offset + wInChannel;
-        for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {
-          let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];
-
-          if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) {
-            continue;
-          }
-
-          for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {
-            let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
-            if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) {
-              continue;
-            }
-
-            let xVal = ${T.get("batch","input_channel","xHeight","xWidth")};
-            let wVal = ${g.get("output_channel","wInChannel","wHeight","wWidth")};
-            value += xVal * wVal;
-          }
-        }
-      }
-      `;return`
-  ${A.registerUniforms(E).declareVariables(...M,b)}
-
-  ${A.mainStart()}
-    ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-
-    let outputIndices = ${b.offsetToIndices("global_idx")};
-    let batch: u32 = outputIndices[0];
-    let output_channel: u32 = outputIndices[${l?3:1}];
-    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${l?1:2}], outputIndices[${l?2:3}]) * uniforms.strides - uniforms.pads;
-    let group_id: u32 = output_channel * ${u} / uniforms.output_channels_per_group;
-    var in_channel_offset = group_id * uniforms.w_shape[${l?2:1}];
-
-    var value: ${b.type.value} = ${b.type.value}(0);
-    ${k}
-    ${n}
-    ${$}
-    ${b.setByOffset("global_idx","value")}
-  }`};return{name:"GroupedConv",shaderCache:{hint:`${r.cacheKey}_${u}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:w}),getShaderSource:P}},__=(e,r,t,s)=>{let i=e.length>2,n=Xt(t[3]),o=Xt(t[2]),a=xe.size(t)/n/o,l=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/n],d=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/n],p=[t[0],t[1],t[2],t[3]/n],u=[{type:12,data:a},{type:6,data:[r.strides[0],r.strides[1]]},{type:6,data:[r.pads[0],r.pads[1]]}];gn(r,u),u.push(...nt(l,d,p));let h=(o-1)*r.strides[1]+d[1],w=f=>{let P=tt("output",e[0].dataType,p.length,n),A=lr(P.type.tensor),b=fn(r,P.type.value,A),y=$e("x",e[0].dataType,l.length,n),$=$e("w",e[1].dataType,d.length,n),T=[y,$];i&&T.push($e("b",e[2].dataType,e[2].dims,n));let g=i?"value += b[output_channel];":"",M=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return wn(r,M),`
-  ${f.registerUniforms(M).declareVariables(...T,P)}
-  ${f.mainStart()}
-    ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-    let width0 = uniforms.output_shape[3];
-    let output_channel = global_idx % width0;
-    var index1 = global_idx / width0;
-    let width1 = uniforms.output_shape[2] / ${o}u;
-    let col = (index1 % width1) * ${o}u;
-    index1 = index1 / width1;
-    let row = index1 % uniforms.output_shape[1];
-    let batch = index1 / uniforms.output_shape[1];
-
-    let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;
-
-    var x_vals: array<${y.type.value}, ${h}>;
-    var values: array<${P.type.value}, ${o}>;
-    let input_channel = output_channel;
-    // Use constant instead of uniform can give better performance for w's height/width.
-    for (var w_height: u32 = 0u; w_height < ${d[0]}; w_height++) {
-      let x_height = x_corner.x + i32(w_height);
-      if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {
-        for (var i = 0; i < ${h}; i++) {
-          let x_width = x_corner.y + i;
-          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
-            x_vals[i] = ${y.get("batch","u32(x_height)","u32(x_width)","input_channel")};
-          } else {
-            x_vals[i] = ${y.type.value}(0);
-          }
-        }
-        for (var w_width: u32 = 0u; w_width < ${d[1]}; w_width++) {
-          let w_val = ${$.get("w_height","w_width","0","output_channel")};
-          for (var i = 0u; i < ${o}u; i++) {
-            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
-          }
-        }
-      }
-    }
-
-    for (var i = 0u; i < ${o}u; i++) {
-      var value = values[i];
-      ${g}
-      ${b}
-      ${P.set("batch","row","col + i","output_channel","value")};
-    }
-  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${r.cacheKey};${n};${o};${h};${d[0]};${d[1]}`,inputDependencies:i?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:u}),getShaderSource:w}}}),f_,Sa,g_,$a,cc,uc,w_,y_,pc,_v=Ue(()=>{Mt(),pv(),hv(),ac(),mv(),yn(),sc(),Gs(),f_=(e,r,t,s,i,n)=>{let o=e[0],a=e.slice(n?1:2,n?3:4),l=a.length,d=r[0],p=r.slice(2).map((h,w)=>h+(h-1)*(t[w]-1)),u=a.map((h,w)=>h+s[w]+s[w+l]).map((h,w)=>Math.floor((h-p[w]+i[w])/i[w]));return u.splice(0,0,o),u.splice(n?3:1,0,d),u},Sa=[2,3,1,0],g_=(e,r)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(e[0].dims.length>5)throw new Error("greater than 5D is not supported");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let t=e[0].dims[r.format==="NHWC"?e[0].dims.length-1:1],s=e[1].dims[1]*r.group;if(t!==s)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(e.length===3&&(e[2].dims.length!==1||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");let i=e[0].dims.length-2;if(r.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(r.strides.length!==i)throw new Error(`strides should be ${i}D`);if(r.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(r.kernelShape.length!==0&&r.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape")},$a=(e,r)=>{let t=e.kernelShape.slice();t.length<r[1].dims.length-2&&t.push(...Array(r[1].dims.length-2-t.length).fill(0));for(let n=2;n<r[1].dims.length;++n)t[n-2]===0&&(t[n-2]=r[1].dims[n]);let s=e.pads.slice();va.adjustPadsBasedOnAutoPad(r[0].dims,e.strides,e.dilations,t,s,e.format==="NHWC",e.autoPad);let i=Object.assign({},e);return Object.assign(i,{kernelShape:t,pads:s}),i},cc=e=>{let r=ec(e),t=e.format,s=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],i=e.dilations,n=e.group,o=e.kernel_shape,a=e.pads,l=e.strides,d=e.w_is_const();return{autoPad:s,format:t,dilations:i,group:n,kernelShape:o,pads:a,strides:l,wIsConst:d,...r,cacheKey:`${e.format};${r.activation};`}},uc=(e,r,t,s)=>{let i=t.format==="NHWC",n=f_(r[0].dims,r[1].dims,t.dilations,t.pads,t.strides,i);if(t.group!==1){let M=[r[0]];if(i){let E=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=E),M.push(E)}else M.push(r[1]);r.length===3&&M.push(r[2]),!e.adapterInfo.isArchitecture("ampere")&&i&&r[1].dims[0]===t.group&&r[1].dims[1]===1&&t.dilations[0]===1&&t.dilations[1]===1?e.compute(__(M,t,n,s),{inputs:M}):e.compute(m_(M,t,n,s),{inputs:M});return}let o=r.length===3,a=r[0].dims[i?1:2],l=r[0].dims[i?2:3],d=r[0].dims[i?3:1],p=r[1].dims[2],u=r[1].dims[3],h=n[i?1:2],w=n[i?2:3],f=n[i?3:1],P=i&&p===a&&u===l&&t.pads[0]===0&&t.pads[1]===0;if(P||p===1&&u===1&&t.dilations[0]===1&&t.dilations[1]===1&&t.strides[0]===1&&t.strides[1]===1&&t.pads[0]===0&&t.pads[1]===0){let M=n[0],E,k,B,N=[];if(i){let V=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];if(t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=V),P){let Y=a*l*d;E=r[0].reshape([1,M,Y]),k=V.reshape([1,Y,f]),B=[1,M,f]}else E=r[0].reshape([M,a*l,d]),k=V.reshape([1,d,f]),B=[M,h*w,f];N.push(E),N.push(k)}else E=r[0].reshape([M,d,a*l]),k=r[1].reshape([1,f,d]),B=[M,f,h*w],N.push(k),N.push(E);o&&N.push(r[2]);let J=B[2],q=N[0].dims[N[0].dims.length-1];J<8&&q<8?e.compute(rc(N,t,n,B,i,s),{inputs:N}):e.compute(Ca(N,t,n,B,i,s),{inputs:N});return}let A=!0,b=e.kernelCustomData.wT??e.compute(Nr(r[1],Sa),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=b);let y=[r[0],b];o&&y.push(r[2]);let $=i?h*w:f,T=i?f:h*w,g=p*u*d;e.compute(l_(y,t,n,$,T,g,o,A,s),{inputs:y})},w_=(e,r)=>{let t=r.format==="NHWC",s=[e.inputs[0].reshape(t?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&s.push(e.inputs[2]);let i=[0,r.pads[0],0,r.pads[1]],n=[1].concat(r.strides),o=[1].concat(r.dilations),a=[1].concat(r.kernelShape),l=$a({...r,pads:i,strides:n,dilations:o,kernelShape:a},s);uc(e,s,l,d=>t?[d[0],d[2],d[3]]:[d[0],d[1],d[3]])},y_=(e,r,t)=>{let s=t.format==="NHWC"?"channelsLast":"channelsFirst",i=$a(t,r),n=t.autoPad==="NOTSET"?t.pads:t.autoPad,o=p_(r[0].dims,r[1].dims,t.strides,t.dilations,n,!1,s);e.compute(h_(r,i,o.outShape,[o.filterDepth,o.filterHeight,o.filterWidth],[o.padInfo.front,o.padInfo.top,o.padInfo.left],s))},pc=(e,r)=>{if(g_(e.inputs,r),e.inputs[0].dims.length===3)w_(e,r);else if(e.inputs[0].dims.length===5)y_(e,e.inputs,r);else{let t=$a(r,e.inputs);uc(e,e.inputs,t)}}}),M_,fv=Ue(()=>{pt(),ks(),Mt(),xt(),M_=(e,r,t)=>{let s=e.length>2,i=r.outputShape,n=r.format==="NHWC",o=r.group,a=e[1].dims,l=a[2]/o,d=a[3],p=n?Xt(l):1,u=n&&d===1&&l>=4,h=u?Math.floor(l/4)*4:Math.floor(l/p)*p,w=l-h,f=n?Xt(d):1,P=n?d===1?p:f:1,A=xe.size(i)/f,b=[Math.ceil(A/64),1,1];St("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${b}`);let y=["rank","rank"],$=[r.strides[0],r.strides[1]],T=[r.kernelShape[n?1:2],r.kernelShape[n?2:3]],g=[r.dilations[0],r.dilations[1]],M=[T[0]+(r.dilations[0]<=1?0:(r.kernelShape[n?1:2]-1)*(r.dilations[0]-1)),T[1]+(r.dilations[1]<=1?0:(r.kernelShape[n?2:3]-1)*(r.dilations[1]-1))],E=[M[0]-1-Math.floor((r.pads[0]+r.pads[2])/2),M[1]-1-Math.floor((r.pads[1]+r.pads[3])/2)],k=[{type:12,data:A},{type:12,data:$},{type:12,data:T},{type:12,data:g},{type:12,data:M},{type:6,data:E},{type:12,data:h},{type:12,data:l},{type:12,data:d},...nt(e[0].dims,e[1].dims)];s&&(k.push(...nt(e[2].dims)),y.push("rank")),k.push(...nt(i));let B=N=>{let J=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:$.length},{name:"filter_dims",type:"u32",length:T.length},{name:"dilations",type:"u32",length:T.length},{name:"effective_filter_dims",type:"u32",length:M.length},{name:"pads",type:"i32",length:E.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],q=lr(e[0].dataType),V=n?1:2,Y=n?2:3,H=n?3:1,Q=$e("W",e[1].dataType,e[1].dims.length,P),ie=$e("Dy",e[0].dataType,e[0].dims.length,p),le=[ie,Q];s&&le.push($e("bias",e[2].dataType,[i[H]].length,f));let ae=tt("result",e[0].dataType,i.length,f),we=()=>{let G="";if(u)p===4?G+=`
-        let xValue = ${ie.getByOffset("x_offset")};
-        let wValue = ${Q.getByOffset("w_offset")};
-        dotProd = dotProd + dot(xValue, wValue);
-        x_offset += 1u;
-        w_offset += 1u;`:p===2?G+=`
-          dotProd = dotProd + dot(vec4<${q}>(${ie.getByOffset("x_offset")}, ${ie.getByOffset("x_offset + 1u")}), vec4<${q}>(${Q.getByOffset("w_offset")}, ${Q.getByOffset("w_offset + 1u")}));
-          x_offset += 2u;
-          w_offset += 2u;`:p===1&&(G+=`
-          dotProd = dotProd + dot(vec4<${q}>(${ie.getByOffset("x_offset")}, ${ie.getByOffset("x_offset + 1u")}, ${ie.getByOffset("x_offset + 2u")}, ${ie.getByOffset("x_offset + 3u")}), vec4<${q}>(${Q.getByOffset("w_offset")}, ${Q.getByOffset("w_offset + 1u")}, ${Q.getByOffset("w_offset + 2u")}, ${Q.getByOffset("w_offset + 3u")}));
-          x_offset += 4u;
-          w_offset += 4u;`);else if(G+=`
-                  let xValue = ${n?ie.getByOffset(`${ie.indicesToOffset(`${ie.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${p}`):ie.get("batch","inputChannel","idyR","idyC")};
-        `,p===1)G+=`
-          let w_offset = ${Q.indicesToOffset(`${Q.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};
-          let wValue = ${Q.getByOffset(`w_offset / ${P}`)};
-          dotProd = dotProd + xValue * wValue;`;else for(let ne=0;ne<p;ne++)G+=`
-            let wValue${ne} = ${Q.getByOffset(`${Q.indicesToOffset(`${Q.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${ne}, wOutChannel)`)} / ${P}`)};
-            dotProd = dotProd + xValue[${ne}] * wValue${ne};`;return G},R=()=>{if(w===0)return"";if(!u)throw new Error(`packInputAs4 ${u} is not true.`);let G="";if(p===1){G+="dotProd = dotProd";for(let ne=0;ne<w;ne++)G+=`
-            + ${ie.getByOffset(`x_offset + ${ne}`)} * ${Q.getByOffset(`w_offset + ${ne}`)}`;G+=";"}else if(p===2){if(w!==2)throw new Error(`Invalid inputChannelsRemainder ${w}.`);G+=`
-          let xValue = ${ie.getByOffset("x_offset")};
-          let wValue = ${Q.getByOffset("w_offset")};
-          dotProd = dotProd + dot(xValue, wValue);`}return G},O=`
-            let outputIndices = ${ae.offsetToIndices(`global_idx * ${f}`)};
-            let batch = ${ae.indicesGet("outputIndices",0)};
-            let d1 = ${ae.indicesGet("outputIndices",H)};
-            let r = ${ae.indicesGet("outputIndices",V)};
-            let c = ${ae.indicesGet("outputIndices",Y)};
-            let dyCorner = vec2<i32>(i32(r), i32(c)) - uniforms.pads;
-            let dyRCorner = dyCorner.x;
-            let dyCCorner = dyCorner.y;
-            let groupId = d1 / uniforms.output_channels_per_group;
-            let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;
-            // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
-            // ? = to be determined. : = across all values in that axis.
-            var dotProd = ${ae.type.value}(0.0);
-            var wR: u32 = 0;
-            if (uniforms.dilations.x == 1) {
-              // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0
-              wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner);
-            }
-            for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
-              if (wR % uniforms.dilations.x != 0) {
-                continue;
-              }
-              let dyR = (${q}(dyRCorner) + ${q}(wR)) / ${q}(uniforms.strides[0]);
-              let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
-              if (dyR < 0.0 || dyR >= ${q}(uniforms.Dy_shape[${V}]) || fract(dyR) > 0.0 ||
-                  wRPerm < 0) {
-                continue;
-              }
-              let idyR: u32 = u32(dyR);
-              var wC: u32 = 0;
-              if (uniforms.dilations.y == 1) {
-                // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0
-                wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner);
-              }
-              for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {
-                if (wC % uniforms.dilations.y != 0) {
-                  continue;
-                }
-                let dyC = (${q}(dyCCorner) + ${q}(wC)) / ${q}(uniforms.strides.y);
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-                }
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-              }
-              wR = wR + uniforms.strides[0] - 1;
-            }
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-            ${ae.setByOffset("global_idx","value")};
-          `;return`
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-      ${N.mainStart()}
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-                ${u.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(o,a)}
-                ${u.mainStart()}
-                  ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-                  var inputIndices = ${a.offsetToIndices("global_idx")};
-                  var sum = ${a.type.value}(0);
-                  let first : i32 = ${f};
-                  let last : i32 = ${P};
-                  for (var i : i32 = first; i < last; i++) {
-                    ${o.indicesSet("inputIndices","uniforms.axis","u32(i)")};
-                    sum = sum + ${o.getByIndices("inputIndices")};
-                  }
-                  ${a.setByOffset("global_idx","sum")};
-                }`};return{name:"CumSum",shaderCache:{hint:s.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:r,dataType:e}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},{type:12,data:d},...nt(r,r)]}),getShaderSource:p}},$_=(e,r)=>{let t=e.inputs[0].dims,s=e.inputs[0].dataType,i=e.inputs[1];e.compute(S_(s,t,i,r),{inputs:[0]})},k_=e=>{let r=e.exclusive===1,t=e.reverse===1;return Dt({exclusive:r,reverse:t})}}),I_,A_,F_,O_,D_,yv=Ue(()=>{pt(),Mt(),Yt(),xt(),I_=e=>{if(!e||e.length!==1)throw new Error("DepthToSpace requires 1 input.");if(e[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},A_=(e,r,t,s)=>{let i=[];i.push(`fn perm(i: ${s.type.indices}) -> ${t.type.indices} {
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-  ${b.registerUniform("output_size","u32").declareVariables(f,P)}
-
-  ${A_(a,h,f,P)}
-
-  ${b.mainStart()}
-    ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-
-    let indices = ${P.offsetToIndices("global_idx")};
-    let aIndices = perm(indices);
-
-    ${P.setByOffset("global_idx",f.getByIndices("aIndices"))}
-  }`;return{name:"DepthToSpace",shaderCache:{hint:`${e.dims};${r.blocksize};${r.mode}`,inputDependencies:["rank"]},getRunData:b=>{let y=l?[t,s*d,i*d,n/d**2]:[t,n/d**2,s*d,i*d],$=xe.size(y),T=u.dims,g=xe.sortBasedOnPerm(T,a);return{outputs:[{dims:y,dataType:b[0].dataType}],dispatchGroup:{x:Math.ceil($/64)},programUniforms:[{type:12,data:$},...nt(T,g)]}},getShaderSource:A}},O_=(e,r)=>{I_(e.inputs),e.compute(F_(e.inputs[0],r))},D_=e=>Dt({blocksize:e.blocksize,mode:e.mode,format:e.format})}),ka,zi,_c,L_,z_,B_,R_,fc,N_,j_,U_,Mv=Ue(()=>{pt(),Mt(),Yt(),xt(),ka="[a-zA-Z]|\\.\\.\\.",zi="("+ka+")+",_c="^"+zi+"$",L_="("+zi+",)*"+zi,z_="^"+L_+"$",B_=class{constructor(e=-1){this.symbolToIndices=new Map,this.inputIndex=e}addSymbol(e,r){let t=this.symbolToIndices.get(e);t===void 0?t=[r]:t.push(r),this.symbolToIndices.set(e,t)}},R_=class{constructor(e,r){var i;this.equation=r,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[t,s]=r.includes("->")?r.split("->",2):[r,""];if(!t.match(RegExp(z_)))throw new Error("Invalid LHS term");if(t.split(",").forEach((n,o)=>{let a=e[o].dims.slice();if(!n.match(RegExp(_c)))throw new Error("Invalid LHS term");let l=this.processTerm(n,!0,a,o);this.lhs.push(l)}),s==="")s+=[...this.symbolToInfo.entries()].filter(([n,o])=>o.count===1||n==="...").map(([n])=>n).join("");else if(!s.match(RegExp(zi)))throw new Error("Invalid RHS");(i=s.match(RegExp(ka,"g")))==null||i.forEach(n=>{if(n==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let o=this.symbolToInfo.get(n);if(o===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(o.dimValue)}}),this.rhs=this.processTerm(s,!1,this.outputDims)}addSymbol(e,r,t){let s=this.symbolToInfo.get(e);if(s!==void 0){if(s.dimValue!==r&&s.count!==1)throw new Error("Dimension mismatch");s.count++,s.inputIndices.push(t)}else s={count:1,dimValue:r,inputIndices:[t]};this.symbolToInfo.set(e,s)}processTerm(e,r,t,s=-1){let i=t.length,n=!1,o=[],a=0;if(!e.match(RegExp(_c))&&!r&&e!=="")throw new Error("Invalid LHS term");let l=e.match(RegExp(ka,"g")),d=new B_(s);return l==null||l.forEach((p,u)=>{if(p==="..."){if(n)throw new Error("Only one ellipsis is allowed per input term");n=!0;let h=i-l.length+1;if(h<0)throw new Error("Ellipsis out of bounds");if(o=t.slice(a,a+h),this.hasEllipsis){if(this.ellipsisDims.length!==o.length||this.ellipsisDims.toString()!==o.toString())throw new Error("Ellipsis dimensions mismatch")}else if(r)this.hasEllipsis=!0,this.ellipsisDims=o;else throw new Error("Ellipsis must be specified in the LHS");for(let w=0;w<o.length;w++){let f=String.fromCharCode(48+w);d.addSymbol(f,u+w),this.addSymbol(f,t[a++],s)}}else d.addSymbol(p,u+(this.hasEllipsis?this.ellipsisDims.length-1:0)),this.addSymbol(p,t[a++],s)}),d}},fc=e=>e+"_max",N_=(e,r,t,s)=>{let i=e.map(d=>d.length).map((d,p)=>$e(`input${p}`,r,d)),n=xe.size(s),o=tt("output",r,s.length),a=[...t.symbolToInfo.keys()].filter(d=>!t.rhs.symbolToIndices.has(d)),l=d=>{let p=[],u="var prod = 1.0;",h="var sum = 0.0;",w="sum += prod;",f=[],P=[],A=[],b=[],y=t.symbolToInfo.size===t.rhs.symbolToIndices.size;t.symbolToInfo.forEach((T,g)=>{var M;if(t.rhs.symbolToIndices.has(g)){let E=(M=t.rhs.symbolToIndices.get(g))==null?void 0:M[0];E!==void 0&&t.lhs.forEach((k,B)=>{if(T.inputIndices.includes(B)){let N=k.symbolToIndices.get(g);if(N===void 0)throw new Error("Invalid symbol error");N.forEach(J=>{p.push(`${i[B].indicesSet(`input${B}Indices`,J,o.indicesGet("outputIndices",E))}`)})}})}else t.lhs.forEach((E,k)=>{if(T.inputIndices.includes(k)){let B=E.symbolToIndices.get(g);if(B===void 0)throw new Error("Invalid symbol error");B.forEach(N=>{f.push(`${i[k].indicesSet(`input${k}Indices`,N,`${g}`)}`)}),b.push(`prod *= ${i[k].getByIndices(`input${k}Indices`)};`)}}),P.push(`for(var ${g}: u32 = 0; ${g} < uniforms.${fc(g)}; ${g}++) {`),A.push("}")});let $=y?[...p,`let sum = ${i.map((T,g)=>T.getByIndices(`input${g}Indices`)).join(" * ")};`]:[...p,h,...P,...f,u,...b,w,...A];return`
-            ${d.registerUniforms(a.map(T=>({name:`${fc(T)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...i,o)}
-
-            ${d.mainStart()}
-            ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-            var outputIndices = ${o.offsetToIndices("global_idx")};
-            ${i.map((T,g)=>`var input${g}Indices: ${i[g].type.indices};`).join(`
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-            ${$.join(`
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-            ${o.setByOffset("global_idx","sum")};
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-        var data = vec4<u32>(0);
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-        ${P("data",1,"u32")}
-        ${P("data",2,"u32")}
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-    ${u.mainStart()}
-    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
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-    ${Jd(Tr(r))}
-
-    ${o.mainStart(jn)}
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-
-      let x = ${a.getByOffset("global_idx")};
-      ${h}
-      let x_in = x + bias;
-      ${d.setByOffset("global_idx",Yd("x_in"))}
-    }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:n,getRunData:o=>({outputs:[{dims:o[0].dims,dataType:o[0].dataType}],programUniforms:[{type:12,data:Math.ceil(t/4)},{type:12,data:s}],dispatchGroup:{x:Math.ceil(t/jn/4)}})}},q_=e=>{e.inputs.length<2||xe.size(e.inputs[1].dims)===0?Sm(e):e.compute(H_(e.inputs))}}),Q_,X_,J_,Y_,xv=Ue(()=>{pt(),Mt(),Yt(),xt(),Q_=e=>{if(!e||e.length!==2)throw new Error("Gather requires 2 inputs.")},X_=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=xe.normalizeAxis(r.axis,i),o=t.slice(0);o.splice(n,1,...s);let a=t[n],l=e[0].dataType===9?4:1,d=Math.ceil(xe.size(o)/l),p=[{type:12,data:d},{type:6,data:a},{type:12,data:n},...nt(e[0].dims,e[1].dims,o)],u=h=>{let w=$e("data",e[0].dataType,e[0].dims.length,l),f=$e("inputIndices",e[1].dataType,e[1].dims.length),P=tt("output",e[0].dataType,o.length,l),A=y=>{let $=s.length,T=`var indicesIndices${y}  = ${f.type.indices}(0);`;for(let g=0;g<$;g++)T+=`${$>1?`indicesIndices${y}[${g}]`:`indicesIndices${y}`} = ${o.length>1?`outputIndices${y}[uniforms.axis + ${g}]`:`outputIndices${y}`};`;T+=`
-          var idx${y} = ${f.getByIndices(`indicesIndices${y}`)};
-          if (idx${y} < 0) {
-            idx${y} = idx${y} + uniforms.axisDimLimit;
-          }
-          var dataIndices${y} : ${w.type.indices};
-        `;for(let g=0,M=0;g<i;g++)g===n?(T+=`${i>1?`dataIndices${y}[${g}]`:`dataIndices${y}`} = u32(idx${y});`,M+=$):(T+=`${i>1?`dataIndices${y}[${g}]`:`dataIndices${y}`} = ${o.length>1?`outputIndices${y}[${M}]`:`outputIndices${y}`};`,M++);return T},b;if(e[0].dataType===9){let y=($,T,g="")=>`
-          let outputIndices${T} = ${P.offsetToIndices(`outputOffset + ${T}u`)};
-          ${A(T)};
-          let offset${T} = ${w.indicesToOffset(`dataIndices${T}`)};
-          let index${T} = offset${T} / 4u;
-          let component${T} = offset${T} % 4u;
-          ${$}[${T}] = ${g}(${w.getByOffset(`index${T}`)}[component${T}]);
-        `;b=`
-        let outputOffset = global_idx * ${l};
-        var value = vec4<u32>(0);
-        ${y("value",0,"u32")}
-        ${y("value",1,"u32")}
-        ${y("value",2,"u32")}
-        ${y("value",3,"u32")}
-        ${P.setByOffset("global_idx","value")}
-      `}else b=`
-      let outputIndices = ${P.offsetToIndices("global_idx")};
-      ${A("")};
-      let value = ${w.getByIndices("dataIndices")};
-      ${P.setByOffset("global_idx","value")};
-      `;return`
-      ${h.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(w,f,P)}
-      ${h.mainStart()}
-        ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-        ${b}
-      }`};return{name:"Gather",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:p}),getShaderSource:u}},J_=e=>Dt({axis:e.axis}),Y_=(e,r)=>{let t=e.inputs;Q_(t),e.compute(X_(e.inputs,r))}}),Z_,ef,tf,Tv=Ue(()=>{pt(),Mt(),xt(),Z_=(e,r,t,s,i,n,o,a,l)=>{let d=[{type:12,data:n},{type:12,data:s},{type:12,data:i},{type:12,data:t},{type:12,data:o},{type:12,data:a},{type:12,data:l}],p=[n];d.push(...nt(r.dims,p));let u=h=>{let w=$e("indices_data",r.dataType,r.dims.length),f=tt("input_slice_offsets_data",12,1,1),P=[w,f],A=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:i.length},{name:"sizes_from_slice_dims_data",type:"u32",length:t.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return`
-  ${h.registerUniforms(A).declareVariables(...P)}
-  ${h.mainStart()}
-    ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-    let batch_idx = global_idx / uniforms.num_slices_per_batch;
-    let base_offset = batch_idx * uniforms.input_batch_stride;
-
-    let slice_indices_base_offset = global_idx * uniforms.num_slice_dims;
-    var relative_slice_offset = 0;
-    for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) {
-      var index = i32(indices_data[dim_idx + slice_indices_base_offset].x);
-      let input_dim_idx = uniforms.batch_dims + dim_idx;
-      if (index < 0) {
-        ${i.length===1?"index += i32(uniforms.input_dims);":"index += i32(uniforms.input_dims[input_dim_idx]);"}
-      }
-      ${t.length===1?"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);":"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);"}
-    }
-
-    input_slice_offsets_data[global_idx] =  base_offset + u32(relative_slice_offset);
-  }`};return e.compute({name:"computeSliceOffsets",shaderCache:{hint:`${i.length}_${t.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:p,dataType:e.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:d}),getShaderSource:u},{inputs:[r],outputs:[-1]})[0]},ef=(e,r)=>{let t=e.inputs,s=t[0].dims,i=t[0].dataType,n=t[1].dims,o=n[n.length-1],a=xe.sizeToDimension(n,n.length-1),l=xe.sizeFromDimension(s,r.batchDims+o),d=xe.sizeToDimension(s,r.batchDims),p=xe.sizeFromDimension(s,r.batchDims),u=a/d,h=new Array(o),w=l;for(let T=0;T<o;++T)h[o-1-T]=w,w*=s[r.batchDims+o-1-T];let f=Z_(e,t[1],h,r.batchDims,s,a,u,p,o),P=r.batchDims+o;if(P>s.length)throw new Error("last dimension of indices must not be larger than rank of input tensor");let A=n.slice(0,-1).concat(s.slice(P)),b=xe.size(A),y=[{type:12,data:b},{type:12,data:l},...nt(t[0].dims,f.dims,A)],$=T=>{let g=$e("data",t[0].dataType,t[0].dims.length),M=$e("slice_offsets",12,f.dims.length),E=tt("output",t[0].dataType,A.length);return`
-          ${T.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(g,M,E)}
-            ${T.mainStart()}
-            ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-          let slice_offset = slice_offsets[global_idx / uniforms.slice_size];
-          output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size];
-        }`};e.compute({name:"GatherND",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:A,dataType:i}],dispatchGroup:{x:Math.ceil(b/64)},programUniforms:y}),getShaderSource:$},{inputs:[t[0],f]})},tf=e=>({batchDims:e.batch_dims,cacheKey:""})}),rf,sf,nf,of,Ev=Ue(()=>{pt(),Mt(),Yt(),xt(),rf=(e,r)=>{if(e.length<3||e.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let t=xe.normalizeAxis(r.quantizeAxis,e[0].dims.length),s=r.blockSize,i=e[0],n=e[2],o=e.length===4?e[3]:void 0;if(n.dims.length!==i.dims.length||!i.dims.map((a,l)=>l===t?Math.ceil(a/s)===n.dims[l]:a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(o){if(o.dataType!==i.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(o.dims.length!==n.dims.length||!o.dims.map((a,l)=>a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},sf=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=xe.normalizeAxis(r.gatherAxis,i),o=xe.normalizeAxis(r.quantizeAxis,i),a=t.slice(0);a.splice(n,1,...s);let l=xe.size(a),d=e[2].dataType,p=e[0].dataType===22,u=[{type:12,data:l},{type:12,data:o},{type:12,data:n},{type:12,data:r.blockSize},...nt(...e.map((w,f)=>w.dims),a)],h=w=>{let f=$e("data",e[0].dataType,e[0].dims.length),P=$e("inputIndices",e[1].dataType,e[1].dims.length),A=$e("scales",e[2].dataType,e[2].dims.length),b=e.length>3?$e("zeroPoint",e[3].dataType,e[3].dims.length):void 0,y=tt("output",d,a.length),$=[f,P,A];b&&$.push(b);let T=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return`
-        ${w.registerUniforms(T).declareVariables(...$,y)}
-        ${w.mainStart()}
-        let output_indices = ${y.offsetToIndices("global_idx")};
-        var indices_indices = ${P.type.indices}(0);
-        ${s.length>1?`
-          for (var i: u32 = 0; i < ${s.length}; i++) {
-            let index = ${y.indicesGet("output_indices","uniforms.gather_axis + i")};
-            ${P.indicesSet("indices_indices","i","index")};
-          }`:`indices_indices = ${y.indicesGet("output_indices","uniforms.gather_axis")};`};
-        var data_indices = ${f.type.indices}(0);
-        for (var i: u32 = 0; i < uniforms.gather_axis; i++) {
-          let index = ${y.indicesGet("output_indices","i")};
-          ${f.indicesSet("data_indices","i","index")};
-        }
-        var index_from_indices = ${P.getByIndices("indices_indices")};
-        if (index_from_indices < 0) {
-          index_from_indices += ${t[n]};
-        }
-        ${f.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")};
-        for (var i = uniforms.gather_axis + 1; i < ${a.length}; i++) {
-          let index = ${y.indicesGet("output_indices",`i + ${s.length} - 1`)};
-          ${f.indicesSet("data_indices","i","index")};
-        }
-        let data_offset = ${f.indicesToOffset("data_indices")};
-        let data_index = data_offset % 8;
-        // Convert 4-bit packed data to 8-bit packed data.
-        let packed_4bit_quantized_data = ${f.getByOffset("data_offset / 8")};
-        let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;
-        let quantized_data_vec = ${p?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data));
-        let quantized_data = quantized_data_vec[data_index / 2];
-        var scale_indices = data_indices;
-        let quantize_axis_index = ${A.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
-        ${A.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
-        var scale = ${A.getByIndices("scale_indices")};
-        ${b?`
-              let zero_point_indices = scale_indices;
-              let zero_point_offset = ${b.indicesToOffset("zero_point_indices")};
-              let zero_point_index = zero_point_offset % 8;
-              let packed_4bit_zero_points = ${b.getByOffset("zero_point_offset / 8")};
-              let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;
-              let zero_point_vec = ${p?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points));
-              let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"};
-        let dequantized_data = ${Tr(d)}(quantized_data - zero_point) * scale;
-        ${y.setByOffset("global_idx","dequantized_data")};
-    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${r.cacheKey};${e.filter((w,f)=>f!==1).map(w=>w.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:e.length},(w,f)=>"rank")},getRunData:()=>({outputs:[{dims:a,dataType:d}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u}),getShaderSource:h}},nf=(e,r)=>{let t=e.inputs;rf(t,r),e.compute(sf(e.inputs,r))},of=e=>Dt({blockSize:e.blockSize,gatherAxis:e.gatherAxis,quantizeAxis:e.quantizeAxis})}),af,lf,df,cf,Pv=Ue(()=>{pt(),Mt(),Yt(),xt(),af=e=>{if(!e||e.length!==2)throw new Error("GatherElements requires 2 inputs.");if(e[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(e[0].dims.length!==e[1].dims.length)throw new Error(`GatherElements requires that the data input and
-                     indices input tensors be of same rank.`)},lf=(e,r)=>{let t=e[0].dims,s=e[0].dataType,i=t.length,n=e[1].dims,o=e[1].dataType,a=xe.normalizeAxis(r.axis,i),l=t[a],d=n.slice(0),p=xe.size(d),u=$e("input",s,i),h=$e("indicesInput",o,n.length),w=tt("output",s,d.length),f=[{type:12,data:p},{type:6,data:l},{type:12,data:a}];return f.push(...nt(t,n,d)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:d,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:f}),getShaderSource:P=>`
-      ${P.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(u,h,w)}
-      ${P.mainStart()}
-      ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-
-      let outputIndices = ${w.offsetToIndices("global_idx")};
-
-      var idx = ${h.getByOffset("global_idx")};
-      if (idx < 0) {
-        idx = idx + uniforms.axisDimLimit;
-      }
-      var inputIndices = ${u.type.indices}(outputIndices);
-      ${u.indicesSet("inputIndices","uniforms.axis","u32(idx)")};
-      let value = ${u.getByIndices("inputIndices")};
-
-      ${w.setByOffset("global_idx","value")};
-  }`}},df=e=>Dt({axis:e.axis}),cf=(e,r)=>{let t=e.inputs;af(t),e.compute(lf(e.inputs,r))}}),uf,pf,hf,mf,Cv=Ue(()=>{pt(),Mt(),xt(),uf=e=>{if(!e)throw new Error("Input is missing");if(e.length<2||e.length>3)throw new Error("Invaid input number.");if(e.length===3&&e[2].dims.length>2)throw new Error("Invalid input shape of C");if(e[0].dataType!==e[1].dataType||e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("Input types are mismatched")},pf=(e,r)=>{let t=e[0].dims.slice(),s=e[1].dims.slice(),[i,n,o]=Op.getShapeOfGemmResult(t,r.transA,s,r.transB,e.length===3?e[2].dims:void 0),a=[i,n];if(!a)throw new Error("Can't use gemm on the given tensors");let l=16,d=Math.ceil(n/l),p=Math.ceil(i/l),u=!0,h=xe.size(a),w=[{type:12,data:u?d:h},{type:12,data:i},{type:12,data:n},{type:12,data:o},{type:1,data:r.alpha},{type:1,data:r.beta}],f=["type","type"];e.length===3&&(w.push(...nt(e[2].dims)),f.push("rank")),w.push(...nt(a));let P=b=>{let y="";r.transA&&r.transB?y="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":r.transA&&!r.transB?y="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!r.transA&&r.transB?y="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!r.transA&&!r.transB&&(y="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let $=r.alpha===1?"":"value *= uniforms.alpha;",T=$e("a",e[0].dataType,e[0].dims),g=$e("b",e[1].dataType,e[1].dims),M=T.type.value,E=null,k=[T,g];e.length===3&&(E=$e("c",e[2].dataType,e[2].dims.length),k.push(E));let B=tt("output",e[0].dataType,a.length);k.push(B);let N=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return`
-  ${b.registerUniforms(N).declareVariables(...k)}
-
-  ${b.mainStart()}
-    ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-
-    let m = global_idx / uniforms.N;
-    let n = global_idx % uniforms.N;
-
-    var value = ${M}(0);
-    for (var k: u32 = 0u; k < uniforms.K; k++) {
-      ${y}
-    }
-
-    ${$}
-    ${E!=null?`let cOffset = ${E.broadcastedIndicesToOffset("vec2(m, n)",B)}; value += ${M}(uniforms.beta) * ${E.getByOffset("cOffset")};`:""}
-    output[global_idx] = value;
-  }`},A=b=>{let y=$e("a",e[0].dataType,e[0].dims),$=$e("b",e[1].dataType,e[1].dims),T=null,g=[y,$];e.length===3&&(T=$e("c",e[2].dataType,e[2].dims.length),g.push(T));let M=tt("output",e[0].dataType,a.length);g.push(M);let E=[{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}],k="",B="";r.transA&&r.transB?(B=`
-      var col = tile_row_start + local_id.x;
-      var row = k_start + local_id.y;
-      if (col < uniforms.M && row < uniforms.K) {
-        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
-      } else {
-        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
-      }
-
-      col = k_start + local_id.x;
-      row = tile_col_start + local_id.y;
-      if (col < uniforms.K && row < uniforms.N) {
-        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
-      } else {
-        tile_b[local_id.y][local_id.x] = ${$.type.value}(0);
-      }
-      `,k="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):r.transA&&!r.transB?(B=`
-      var col = tile_row_start + local_id.x;
-      var row = k_start + local_id.y;
-      if (col < uniforms.M && row < uniforms.K) {
-        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
-      } else {
-        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
-      }
-
-      col = tile_col_start + local_id.x;
-      row = k_start + local_id.y;
-      if (col < uniforms.N && row < uniforms.K) {
-        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
-      } else {
-        tile_b[local_id.y][local_id.x] = ${$.type.value}(0);
-      }
-      `,k="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!r.transA&&r.transB?(B=`
-      var col = k_start + local_id.x;
-      var row = tile_row_start + local_id.y;
-      if (col < uniforms.K && row < uniforms.M) {
-        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
-      } else {
-        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
-      }
-
-      col = k_start + local_id.x;
-      row = tile_col_start + local_id.y;
-      if (col < uniforms.K && row < uniforms.N) {
-        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
-      } else {
-        tile_b[local_id.y][local_id.x] = ${$.type.value}(0);
-      }
-      `,k="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!r.transA&&!r.transB&&(B=`
-      var col = k_start + local_id.x;
-      var row = tile_row_start + local_id.y;
-      if (col < uniforms.K && row < uniforms.M) {
-        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
-      } else {
-        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
-      }
-
-      col = tile_col_start + local_id.x;
-      row = k_start + local_id.y;
-      if (col < uniforms.N && row < uniforms.K) {
-        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
-      } else {
-        tile_b[local_id.y][local_id.x] = ${$.type.value}(0);
-      }
-      `,k="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let N=r.alpha===1?"":"value *= uniforms.alpha;";return`
-  ${b.registerUniforms(E).declareVariables(...g)}
-  var<workgroup> tile_a: array<array<${y.type.storage}, ${l}>, ${l}>;
-  var<workgroup> tile_b: array<array<${$.type.storage}, ${l}>, ${l}>;
-  ${b.mainStart([l,l,1])}
-    let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${l};
-    let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${l};
-    let num_tiles = (uniforms.K - 1) / ${l} + 1;
-    var k_start = 0u;
-    var value = ${M.type.value}(0);
-    for (var t: u32 = 0u; t < num_tiles; t++) {
-      ${B}
-      k_start = k_start + ${l};
-      workgroupBarrier();
-
-      for (var k: u32 = 0u; k < ${l}; k++) {
-        ${k}
-      }
-      workgroupBarrier();
-    }
-
-    ${N}
-    let m = tile_row_start + local_id.y;
-    let n = tile_col_start + local_id.x;
-    ${T!=null?`let cOffset = ${T.broadcastedIndicesToOffset("vec2(m, n)",M)}; value += ${M.type.value}(uniforms.beta) * ${T.getByOffset("cOffset")};`:""}
-    if (m < uniforms.M && n < uniforms.N) {
-      output[m * uniforms.N + n] = value;
-    }
-  }`};return u?{name:"GemmShared",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:d*p},programUniforms:w}),getShaderSource:A}:{name:"Gemm",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:w}),getShaderSource:P}},hf=e=>{let r=e.transA,t=e.transB,s=e.alpha,i=e.beta;return{transA:r,transB:t,alpha:s,beta:i,cacheKey:`${e.transA};${e.transB};${e.alpha===1}`}},mf=(e,r)=>{uf(e.inputs),e.compute(pf(e.inputs,r))}}),vs,Is,Mn,bn,_f,ff,gf,wf,yf,Mf,bf,vf,xf,Tf,Sv=Ue(()=>{pt(),Mt(),Yt(),xt(),[vs,Is,Mn,bn]=[0,1,2,3],_f=e=>{if(e[0].dims.length!==4)throw new Error("only 4-D tensor is supported.");if(e[0].dims.length!==e[1].dims.length)throw new Error("input dimensions must be equal to grid dimensions");if(e[0].dims.length-2!==e[1].dims[e[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${e[0].dims.length-2}`);if(e[0].dims[0]!==e[1].dims[0])throw new Error("grid batch size must match input batch size")},ff=`
-  fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {
-    let cubic_alpha = -0.75f;
-    let x_abs = abs(x);
-    var coeffs: vec4<f32>;
-    coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);
-    coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);
-    coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);
-    coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);
-    return coeffs;
-  }
-`,gf=e=>`
-  fn gs_bicubic_interpolate(p: mat4x4<${e}>, x: f32, y: f32) -> ${e} {
-    var v: vec4<f32>;
-    var coeffs = gs_get_cubic_coeffs(x);
-    for (var i = 0; i < 4; i++) {
-      v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3];
-    }
-    coeffs = gs_get_cubic_coeffs(y);
-    let pixel = ${e}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]);
-    return pixel;
-  }
-`,wf=e=>`
-  fn gs_denormalize(n: f32, length: i32) -> f32 {
-    ${e.alignCorners===0?`
-    // alignCorners: false => [-1, 1] to [-0.5, length - 0.5]
-    return ((n + 1.0) * f32(length) - 1.0) / 2.0;
-    `:`
-    // alignCorners: true => [-1, 1] to [0, length - 1]
-    return (n + 1.0) / 2.0 * (f32(length - 1));
-    `}
-  }
-`,yf=e=>`
-  ${e.paddingMode==="reflection"?`
-      fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 {
-        var dx = 0.0;
-        var fx = f32(x);
-        let range = x_max - x_min;
-        if (fx < x_min) {
-          dx = x_min - fx;
-          let n = u32(dx / range);
-          let r = dx - f32(n) * range;
-          if (n % 2 == 0) {
-            fx = x_min + r;
-          } else {
-            fx = x_max - r;
-          }
-        } else if (fx > x_max) {
-          dx = fx - x_max;
-          let n = u32(dx / range);
-          let r = dx - f32(n) * range;
-          if (n % 2 == 0) {
-            fx = x_max - r;
-          } else {
-            fx = x_min + r;
-          }
-        }
-        return u32(fx);
-      }`:""}
-`,Mf=(e,r,t)=>`
-  fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4<f32>) -> ${r} {
-     var pixel = ${r}(0);
-     var indices = vec4<u32>(0);
-     indices[${vs}] = batch;
-     indices[${Is}] = channel;`+(()=>{switch(t.paddingMode){case"zeros":return`
-          if (r >= 0 && r < H && c >=0 && c < W) {
-            indices[${Mn}] = u32(r);
-            indices[${bn}] = u32(c);
-          }
-        `;case"border":return`
-          indices[${Mn}] = u32(clamp(r, 0, H - 1));
-          indices[${bn}] = u32(clamp(c, 0, W - 1));
-        `;case"reflection":return`
-          indices[${Mn}] = gs_reflect(r, border[1], border[3]);
-          indices[${bn}] = gs_reflect(c, border[0], border[2]);
-        `;default:throw new Error(`padding mode ${t.paddingMode} is not supported`)}})()+`
-    return ${e.getByIndices("indices")};
-  }
-`,bf=(e,r,t)=>(()=>{switch(t.mode){case"nearest":return`
-          let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${vs}], indices[${Is}], border);
-        `;case"bilinear":return`
-          let x1 = i32(floor(x));
-          let y1 = i32(floor(y));
-          let x2 = x1 + 1;
-          let y2 = y1 + 1;
-
-          let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${vs}], indices[${Is}], border);
-          let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${vs}], indices[${Is}], border);
-          let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${vs}], indices[${Is}], border);
-          let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${vs}], indices[${Is}], border);
-
-          let dx2 = ${r}(f32(x2) - x);
-          let dx1 = ${r}(x - f32(x1));
-          let dy2 = ${r}(f32(y2) - y);
-          let dy1 = ${r}(y - f32(y1));
-          let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22);
-        `;case"bicubic":return`
-          let x0 = i32(floor(x)) - 1;
-          let y0 = i32(floor(y)) - 1;
-          var p: mat4x4<${r}>;
-          for (var h = 0; h < 4; h++) {
-            for (var w = 0; w < 4; w++) {
-              p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${vs}], indices[${Is}], border);
-            }
-          }
-
-          let dx = x - f32(x0 + 1);
-          let dy = y - f32(y0 + 1);
-          let result = gs_bicubic_interpolate(p, dx, dy);
-        `;default:throw new Error(`mode ${t.mode} is not supported`)}})()+`${e.setByOffset("global_idx","result")}`,vf=(e,r)=>{let t=$e("x",e[0].dataType,e[0].dims.length),s=[e[1].dims[0],e[1].dims[1],e[1].dims[2]],i=$e("grid",e[1].dataType,s.length,2),n=[e[0].dims[0],e[0].dims[1],e[1].dims[1],e[1].dims[2]];r.format==="NHWC"&&(n=[e[0].dims[0],e[1].dims[1],e[1].dims[2],e[0].dims[3]],[vs,Is,Mn,bn]=[0,3,1,2]);let o=tt("output",e[0].dataType,n.length),a=t.type.value,l=xe.size(n),d=[{type:12,data:l},...nt(e[0].dims,s,n)],p=u=>`
-  ${u.registerUniform("output_size","u32").declareVariables(t,i,o)}
-  ${ff}
-  ${gf(a)}
-  ${wf(r)}
-  ${yf(r)}
-  ${Mf(t,a,r)}
-
-  ${u.mainStart()}
-    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-      let H_in = i32(uniforms.x_shape[${Mn}]);
-      let W_in = i32(uniforms.x_shape[${bn}]);
-
-      ${r.alignCorners===0?`
-      let x_min = -0.5;
-      let x_max = f32(W_in) - 0.5;
-      let y_min = -0.5;
-      let y_max = f32(H_in) - 0.5;
-      `:`
-      let x_min = 0.0;
-      let x_max = f32(W_in) - 1.0;
-      let y_min = 0.0;
-      let y_max = f32(H_in) - 1.0;
-      `};
-      let border = vec4<f32>(x_min, y_min, x_max, y_max);
-
-      let indices = ${o.offsetToIndices("global_idx")};
-      var grid_indices = vec3<u32>(indices[${vs}], indices[${Mn}], indices[${bn}]);
-      let nxy = ${i.getByIndices("grid_indices")};
-      var x = gs_denormalize(f32(nxy[0]), W_in);
-      var y = gs_denormalize(f32(nxy[1]), H_in);
-
-      ${bf(o,a,r)}
-  }`;return{name:"GridSample",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:["type","type"]},getRunData:u=>{let h=xe.size(n);return{outputs:[{dims:n,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}},getShaderSource:p}},xf=(e,r)=>{_f(e.inputs),e.compute(vf(e.inputs,r))},Tf=e=>Dt({alignCorners:e.align_corners,mode:e.mode,paddingMode:e.padding_mode,format:e.format})}),kr,Ef,Pf,wc,Cf,Bi,Sf,$f=Ue(()=>{pt(),Mt(),Yt(),Bd(),Qd(),xt(),Gs(),kr=(e,r)=>e.length>r&&e[r].dims.length>0?e[r]:void 0,Ef=(e,r)=>{let t=e[0],s=kr(e,1),i=kr(e,2),n=kr(e,3),o=kr(e,4),a=kr(e,5),l=kr(e,6),d=kr(e,7);if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let p=t.dims[0],u=t.dims[1],h=t.dims.length===3?t.dims[2]:r.numHeads*t.dims[4],w=u,f=0,P=0,A=Math.floor(h/r.numHeads);if(l&&d&&xe.size(l.dims)&&xe.size(d.dims)){if(l.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(l.dims[0]!==p||l.dims[1]!==r.numHeads||l.dims[3]!==A)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(d.dims[0]!==p||d.dims[1]!==r.numHeads||d.dims[3]!==A)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[2]!==d.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(d.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');f=l.dims[2],P=l.dims[2]}else if(l&&xe.size(l.dims)||d&&xe.size(d.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let b;if(s&&xe.size(s.dims)>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(s.dims[2]!==t.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');b=2,w=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==A)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');b=5,w=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==A)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');b=0,w=s.dims[2]}}else{if(t.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(t.dims[2]!==r.numHeads||t.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');b=3}if(n&&xe.size(n.dims)>0){if(n.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(s&&s.dims.length===5&&s.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let y=f+w,$=0;if(o&&xe.size(o.dims)>0){$=8;let E=o.dims;throw E.length===1?E[0]===p?$=1:E[0]===3*p+2&&($=3):E.length===2&&E[0]===p&&E[1]===y&&($=5),$===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let T=!1,g=h;if(i&&xe.size(i.dims)>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(w!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');g=i.dims[2]}else{if(w!==i.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');g=i.dims[1]*i.dims[3],T=!0}}let M=!1;if(o&&xe.size(o.dims)>0)throw new Error("Key padding mask is not supported");if(a&&xe.size(a.dims)>0){if(a.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(a.dims[0]!==p||a.dims[1]!==r.numHeads||a.dims[2]!==u||a.dims[3]!==y)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:p,sequenceLength:u,pastSequenceLength:f,kvSequenceLength:w,totalSequenceLength:y,maxSequenceLength:P,inputHiddenSize:0,hiddenSize:h,vHiddenSize:g,headSize:A,vHeadSize:Math.floor(g/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:$,scale:r.scale,broadcastResPosBias:M,passPastInKv:T,qkvFormat:b}},Pf=e=>Dt({...e}),wc=Dt({perm:[0,2,1,3]}),Cf=(e,r,t,s,i,n,o)=>{let a=[s,i,n],l=xe.size(a),d=[{type:12,data:l},{type:12,data:o},{type:12,data:n}],p=u=>{let h=tt("qkv_with_bias",r.dataType,a),w=$e("qkv",r.dataType,a),f=$e("bias",t.dataType,a),P=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
-  ${u.registerUniforms(P).declareVariables(w,f,h)}
-  ${u.mainStart()}
-    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-    let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;
-
-    qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];
-  }`};return e.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:a,dataType:r.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:d}),getShaderSource:p},{inputs:[r,t],outputs:[-1]})[0]},Bi=(e,r,t,s,i,n,o,a)=>{let l=n;if(o&&xe.size(o.dims)>0){if(s===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return l=Cf(e,n,o,r,s,t*i,a),l=l.reshape([r,s,t,i]),t===1||s===1?l:e.compute(Nr(l,wc.perm),{inputs:[l],outputs:[-1]})[0]}else return n.dims.length===3&&(l=n.reshape([r,s,t,i])),t===1||s===1?l:e.compute(Nr(l,wc.perm),{inputs:[l],outputs:[-1]})[0]},Sf=(e,r)=>{let t=Ef(e.inputs,r),s=e.inputs[0],i=kr(e.inputs,1),n=kr(e.inputs,2),o=kr(e.inputs,3),a=kr(e.inputs,4),l=kr(e.inputs,5),d=kr(e.inputs,6),p=kr(e.inputs,7);if(s.dims.length===5)throw new Error("Packed QKV is not implemented");if((i==null?void 0:i.dims.length)===5)throw new Error("Packed KV is not implemented");let u=i&&n&&i.dims.length===4&&n.dims.length===4,h=Bi(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,s,o,0);if(u)return Fi(e,h,i,n,a,void 0,d,p,l,t);if(!i||!n)throw new Error("key and value must be provided");let w=Bi(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.headSize,i,o,t.hiddenSize),f=Bi(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.vHeadSize,n,o,2*t.hiddenSize);Fi(e,h,w,f,a,void 0,d,p,l,t)}}),kf,If,Af,Ff,yc,Of,Df,Lf=Ue(()=>{pt(),Mt(),Yt(),xt(),kf=e=>{if(!e||e.length<1)throw new Error("too few inputs")},If=(e,r)=>{let t=[],s=r.numOutputs;return e[1].dims[0]>0&&(e[1].getBigInt64Array().forEach(i=>t.push(Number(i))),s=t.length),Dt({numOutputs:s,axis:r.axis,splitSizes:t})},Af=e=>`
-fn calculateOutputIndex(index: u32) -> u32 {
-    for (var i: u32 = 0u; i < ${e}u; i += 1u ) {
-    if (index < ${rt("uniforms.size_in_split_axis","i",e)}) {
-        return i;
-    }
-    }
-    return ${e}u;
-}`,Ff=e=>{let r=e.length,t=[];for(let s=0;s<r;++s){let i=e[s].setByIndices("indices","input[global_idx]");r===1?t.push(i):s===0?t.push(`if (output_number == ${s}u) { ${i} }`):s===r-1?t.push(`else { ${i} }`):t.push(`else if (output_number == ${s}) { ${i} }`)}return`
-      fn writeBufferData(output_number: u32, indices: ${e[0].type.indices}, global_idx: u32) {
-        ${t.join(`
-`)}
-      }`},yc=(e,r)=>{let t=e[0].dims,s=xe.size(t),i=e[0].dataType,n=xe.normalizeAxis(r.axis,t.length),o=new Array(r.numOutputs),a=$e("input",i,t.length),l=new Array(r.numOutputs),d=[],p=[],u=0,h=[{type:12,data:s}];for(let f=0;f<r.numOutputs;f++){u+=r.splitSizes[f],l[f]=u;let P=t.slice();P[n]=r.splitSizes[f],p.push(P),o[f]=tt(`output${f}`,i,P.length),d.push({dims:p[f],dataType:e[0].dataType})}h.push({type:12,data:l},...nt(t,...p));let w=f=>`
-  ${f.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",l.length).declareVariables(a,...o)}
-  ${Af(l.length)}
-  ${Ff(o)}
-
-  ${f.mainStart()}
-    ${f.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")}
-
-    var indices = ${a.offsetToIndices("global_idx")};
-    var index = ${a.indicesGet("indices",n)};
-    let output_number = calculateOutputIndex(index);
-    if (output_number != 0) {
-      index -= ${rt("uniforms.size_in_split_axis","output_number - 1u",l.length)};
-      ${a.indicesSet("indices",n,"index")};
-    }
-    writeBufferData(output_number, indices, global_idx);
-  }`;return{name:"Split",shaderCache:{hint:r.cacheKey,inputDependencies:["rank"]},getShaderSource:w,getRunData:()=>({outputs:d,dispatchGroup:{x:Math.ceil(s/64)},programUniforms:h})}},Of=(e,r)=>{kf(e.inputs);let t=e.inputs.length===1?r:If(e.inputs,r);e.compute(yc(e.inputs,t),{inputs:[0]})},Df=e=>{let r=e.axis,t=e.splitSizes,s=e.numOutputs<0?t.length:e.numOutputs;if(s!==t.length)throw new Error("numOutputs and splitSizes lengh must be equal");return Dt({axis:r,numOutputs:s,splitSizes:t})}}),zf,Bf,Mc,Rf,$v=Ue(()=>{Yt(),Qd(),$f(),Lf(),Gs(),zf=(e,r)=>{if(r.doRotary)throw new Error("GroupQuerryAttention do_rotary attribute is not supported");if(r.doRotary&&e.length<=7)throw new Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4];if(r.localWindowSize!==-1)throw new Error("Local attention is not supported");if(r.softcap!==0)throw new Error("Softcap is not supported");if(r.rotaryInterleaved!==0)throw new Error("Rotary interleaved is not supported");if(r.smoothSoftmax)throw new Error("Smooth softmax is not supported");if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let a=!1,l=t.dims[0],d=t.dims[1],p=t.dims.length===3?a?t.dims[2]/3:t.dims[2]:r.numHeads*t.dims[4],u=d,h=0,w=!s||s.dims.length===0,f=Math.floor(w?p/(r.numHeads+2*r.kvNumHeads):p/r.numHeads);w&&(p=f*r.numHeads);let P=n&&n.dims.length!==0,A=o&&o.dims.length!==0;if(P&&n.dims.length===4&&n.dims[0]===l&&n.dims[1]!==r.kvNumHeads&&n.dims[2]===r.kvNumHeads&&n.dims[3]===f)throw new Error("BSNH pastKey/pastValue is not supported");if(P&&A){if(n.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(o.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');h=n.dims[2]}else if(P||A)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let b=1;if(s&&s.dims.length>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(t.dims[2]%s.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');u=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==f)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');u=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==f)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=s.dims[2]}}else{if(t.dims.length!==3&&t.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(t.dims.length===5&&(t.dims[2]!==r.numHeads||t.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');b=3}let y=0,$=!1,T=r.kvNumHeads?f*r.kvNumHeads:p;if(i&&i.dims.length>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(u!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');T=i.dims[2]}else{if(u!==i.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');T=i.dims[1]*i.dims[3],$=!0}}let g=e.length>4?e[5]:void 0;if(g&&g.dims.length!==1&&g.dims[0]!==l)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:l,sequenceLength:d,pastSequenceLength:h,kvSequenceLength:u,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:p,vHiddenSize:T,headSize:f,vHeadSize:Math.floor(T/r.kvNumHeads),numHeads:r.numHeads,kvNumHeads:r.kvNumHeads,nReps:r.numHeads/r.kvNumHeads,pastPresentShareBuffer:!1,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:$,qkvFormat:b}},Bf=Dt({perm:[0,2,1,3]}),Mc=(e,r,t)=>{let s=r,i=t.kvNumHeads;return r.dims.length===3&&t.kvSequenceLength!==0&&(s=r.reshape([t.batchSize,t.kvSequenceLength,i,t.headSize]),s=e.compute(Nr(s,Bf.perm),{inputs:[s],outputs:[-1]})[0]),s},Rf=(e,r)=>{var A;let t=zf(e.inputs,r);if(e.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(((A=e.inputs[1])==null?void 0:A.dims.length)===5)throw new Error("Packed KV is not implemented");let s=e.inputs[0],i=e.inputs[1]&&e.inputs[1].dims.length>0?e.inputs[1]:void 0,n=e.inputs[2]&&e.inputs[2].dims.length>0?e.inputs[2]:void 0,o=e.inputs[3]&&e.inputs[3].dims.length!==0?e.inputs[3]:void 0,a=e.inputs[4]&&e.inputs[4].dims.length!==0?e.inputs[4]:void 0,l=e.inputs.length>4?e.inputs[5]:void 0,d=e.inputs.length>5?e.inputs[6]:void 0,p=t.kvNumHeads?t.kvNumHeads:t.numHeads,u=Dt({axis:2,numOutputs:3,splitSizes:[t.numHeads*t.headSize,p*t.headSize,p*t.headSize]}),[h,w,f]=!i&&!n?e.compute(yc([s],u),{inputs:[s],outputs:[-1,-1,-1]}):[s,i,n],P=Bi(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,h,void 0,0);Fi(e,P,Mc(e,w,t),Mc(e,f,t),void 0,void 0,o,a,void 0,t,l,d)}}),bc,Nf,jf,Uf,kv=Ue(()=>{pt(),Mt(),Gs(),xt(),bc=(e,r,t,s,i,n,o,a)=>{let l=Xt(n),d=l===1?"f32":`vec${l}f`,p=l===1?"vec2f":`mat2x${l}f`,u=i*o,h=64;u===1&&(h=256);let w=[i,o,n/l],f=[i,o,2],P=["rank","type","type"],A=[];A.push(...nt(w,f));let b=y=>{let $=$e("x",r.dataType,3,l),T=$e("scale",t.dataType,t.dims),g=$e("bias",s.dataType,s.dims),M=tt("output",1,3,2),E=[$,T,g,M];return`
-  var<workgroup> workgroup_shared : array<${p}, ${h}>;
-  const workgroup_size = ${h}u;
-  ${y.declareVariables(...E)}
-  ${y.mainStart(h)}
-    let batch = workgroup_index / uniforms.x_shape[1];
-    let channel = workgroup_index % uniforms.x_shape[1];
-    let hight = uniforms.x_shape[2];
-    // initialize workgroup memory
-    var sum = ${d}(0);
-    var squared_sum = ${d}(0);
-    for (var h = local_idx; h < hight; h += workgroup_size) {
-      let value = ${d}(${$.get("batch","channel","h")});
-      sum += value;
-      squared_sum += value * value;
-    }
-    workgroup_shared[local_idx] = ${p}(sum, squared_sum);
-    workgroupBarrier();
-
-    for (var currSize = workgroup_size >> 1;  currSize > 0; currSize = currSize >> 1) {
-      if (local_idx < currSize) {
-        workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize];
-      }
-      workgroupBarrier();
-    }
-    if (local_idx == 0) {
-      let sum_final = ${Ws("workgroup_shared[0][0]",l)} / f32(hight * ${l});
-      let squared_sum_final = ${Ws("workgroup_shared[0][1]",l)} / f32(hight * ${l});
-
-      let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${a}));
-      let channel_scale = inv_std_dev * f32(scale[channel]);
-      let channel_shift = f32(bias[channel]) - sum_final * channel_scale;
-      output[workgroup_index] = vec2f(channel_scale, channel_shift);
-    }
-  }`};return e.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${l};${a};${h}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:f,dataType:1}],dispatchGroup:{x:u},programUniforms:A}),getShaderSource:b},{inputs:[r,t,s],outputs:[-1]})[0]},Nf=(e,r,t)=>{let s=r[0].dims,i=s,n=2,o=s[0],a=s[1],l=xe.sizeFromDimension(s,n),d=Xt(l),p=xe.size(i)/d,u=bc(e,r[0],r[1],r[2],o,l,a,t.epsilon),h=[o,a,l/d],w=[o,a],f=["type","none"],P=A=>{let b=$e("x",r[0].dataType,h.length,d),y=$e("scale_shift",1,w.length,2),$=tt("output",r[0].dataType,h.length,d),T=[b,y,$];return`
-  ${A.registerUniform("output_size","u32").declareVariables(...T)}
-  ${A.mainStart()}
-  ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-      let outputIndices = ${$.offsetToIndices("global_idx")};
-      let batch = outputIndices[0];
-      let channel = outputIndices[1];
-      let scale_shift = ${y.getByIndices("vec2<u32>(batch, channel)")};
-      let value = ${b.getByOffset("global_idx")} * ${$.type.value}(scale_shift.x) + ${$.type.value}(scale_shift.y);
-      ${$.setByOffset("global_idx","value")};
-  }`};e.compute({name:"InstanceNormalization",shaderCache:{hint:`${d}`,inputDependencies:f},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:[{type:12,data:p},...nt(h,w,h)]}),getShaderSource:P},{inputs:[r[0],u]})},jf=(e,r,t)=>{let s=r[0].dims,i=s,n=s[0],o=s[s.length-1],a=xe.sizeFromDimension(s,1)/o,l=Xt(o),d=xe.size(i)/l,p=[{type:12,data:a},{type:12,data:Math.floor(o/l)}],u=["type","type"],h=!1,w=[0,s.length-1];for(let b=0;b<s.length-2;b++)h=h||s[b+1]!==1,w.push(b+1);h=h&&s[s.length-1]!==1;let f=h?e.compute(Nr(e.inputs[0],w),{inputs:[e.inputs[0]],outputs:[-1]})[0]:e.inputs[0].reshape(Array.from({length:s.length},(b,y)=>s[w[y]])),P=bc(e,f,r[1],r[2],n,a,o,t.epsilon),A=b=>{let y=lr(r[0].dataType),$=l===1?"vec2f":`mat${l}x2f`,T=E=>{let k=E===0?"x":"y",B=l===1?"f32":`vec${l}f`;switch(l){case 1:return`${y}(${B}(scale.${k}))`;case 2:return`vec2<${y}>(${B}(scale[0].${k}, scale[1].${k}))`;case 4:return`vec4<${y}>(${B}(scale[0].${k}, scale[1].${k}, scale[2].${k}, scale[3].${k}))`;default:throw new Error(`Not supported compoents ${l}`)}},g=$e("input",r[0].dataType,r[0].dims,l),M=tt("output",r[0].dataType,i,l);return`
-  @group(0) @binding(0) var<storage, read> input : array<${g.type.storage}>;
-  @group(0) @binding(1) var<storage, read> scale_input : array<${$}>;
-  @group(0) @binding(2) var<storage, read_write> output : array<${M.type.storage}>;
-  struct Uniforms {H: u32, C : u32};
-  @group(0) @binding(3) var<uniform> uniforms: Uniforms;
-
-  ${b.mainStart()}
-    let current_image_number = global_idx / (uniforms.C * uniforms.H);
-    let current_channel_number = global_idx % uniforms.C;
-
-    let scale_offset = current_image_number * uniforms.C + current_channel_number;
-    let scale = scale_input[scale_offset];
-    output[global_idx] = fma(input[global_idx], ${T(0)}, ${T(1)});
-  }`};e.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${l}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:p}),getShaderSource:A},{inputs:[r[0],P]})},Uf=(e,r)=>{r.format==="NHWC"?jf(e,e.inputs,r):Nf(e,e.inputs,r)}}),Vf,Wf,Gf,Iv=Ue(()=>{pt(),Mt(),xt(),Vf=e=>{if(!e||e.length<2)throw new Error("layerNorm requires at least 2 inputs.")},Wf=(e,r,t)=>{let s=r.simplified,i=e[0].dims,n=e[1],o=!s&&e[2],a=i,l=xe.normalizeAxis(r.axis,i.length),d=xe.sizeToDimension(i,l),p=xe.sizeFromDimension(i,l),u=xe.size(n.dims),h=o?xe.size(o.dims):0;if(u!==p||o&&h!==p)throw new Error(`Size of X.shape()[axis:] == ${p}.
-       Size of scale and bias (if provided) must match this.
-       Got scale size of ${u} and bias size of ${h}`);let w=[];for(let g=0;g<i.length;++g)g<l?w.push(i[g]):w.push(1);let f=Xt(p),P=["type","type"],A=[{type:12,data:d},{type:1,data:p},{type:12,data:Math.floor(p/f)},{type:1,data:r.epsilon}];o&&P.push("type");let b=t>1,y=t>2,$=g=>{let M=lr(e[0].dataType),E=[$e("x",e[0].dataType,e[0].dims,f),$e("scale",n.dataType,n.dims,f)];o&&E.push($e("bias",o.dataType,o.dims,f)),E.push(tt("output",e[0].dataType,a,f)),b&&E.push(tt("mean_data_output",1,w)),y&&E.push(tt("inv_std_output",1,w));let k=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
-  ${g.registerUniforms(k).declareVariables(...E)}
-  ${g.mainStart()}
-    ${g.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
-    let offset = global_idx * uniforms.norm_size_vectorized;
-    var mean_vector = ${Ud("f32",f)};
-    var mean_square_vector = ${Ud("f32",f)};
-
-    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
-      let value = ${Un(M,f,"x[h + offset]")};
-      mean_vector += value;
-      mean_square_vector += value * value;
-    }
-    let mean = ${Ws("mean_vector",f)} / uniforms.norm_size;
-    let inv_std_dev = inverseSqrt(${Ws("mean_square_vector",f)} / uniforms.norm_size ${s?"":"- mean * mean"} + uniforms.epsilon);
-
-    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
-      let f32input = ${Un(M,f,"x[j + offset]")};
-      let f32scale = ${Un(M,f,"scale[j]")};
-      output[j + offset] = ${E[0].type.value}((f32input ${s?"":"- mean"}) * inv_std_dev * f32scale
-        ${o?`+ ${Un(M,f,"bias[j]")}`:""}
-      );
-    }
-
-    ${b?"mean_data_output[global_idx] = mean":""};
-    ${y?"inv_std_output[global_idx] = inv_std_dev":""};
-  }`},T=[{dims:a,dataType:e[0].dataType}];return b&&T.push({dims:w,dataType:1}),y&&T.push({dims:w,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${f};${t};${s}`,inputDependencies:P},getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(d/64)},programUniforms:A}),getShaderSource:$}},Gf=(e,r)=>{Vf(e.inputs),e.compute(Wf(e.inputs,r,e.outputCount))}}),Kf,Hf,Av=Ue(()=>{Mt(),sc(),ac(),Kf=e=>{if(!e||e.length!==2)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not match.")},Hf=e=>{Kf(e.inputs);let r=Nn.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!r)throw new Error("Can't use matmul on the given tensors");let t=r[r.length-1],s=e.inputs[0].dims[e.inputs[0].dims.length-1];if(t<8&&s<8)e.compute(rc(e.inputs,{activation:""},r));else{let i=r[r.length-2],n=xe.size(e.inputs[0].dims.slice(0,-2)),o=xe.size(e.inputs[1].dims.slice(0,-2));if(n!==1&&i===1&&o===1){let a=e.inputs[0].reshape([1,n,s]),l=e.inputs[1].reshape([1,s,t]),d=[1,n,t],p=[a,l];e.compute(Ca(p,{activation:""},r,d),{inputs:p})}else e.compute(Ca(e.inputs,{activation:""},r))}}}),qf,Qf,Xf,Jf,Yf,Fv=Ue(()=>{pt(),Mt(),Yt(),xt(),qf=(e,r)=>{if(e.length<3||e.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let t=e[0],s=t.dims.length;if(t.dims[s-1]!==r.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((r.k+r.blockSize-1)/r.blockSize),n=r.blockSize/8*r.bits,o=e[1];if(!xe.areEqual(o.dims,[r.n,i,n]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let a=e[2].dims;if(xe.size(a)!==r.n*i)throw new Error("scales input size error.");if(e.length===4){let l=e[3].dims,d=r.bits>4?r.n*i:r.n*Math.floor((i+1)/2);if(xe.size(l)!==d)throw new Error("zeroPoints input size error.")}},Qf=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=xe.size(a),d=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(d),w=Xt(o),f=a.concat([i,o]),P=i>1&&o/w%2===0?2:1,A=xe.size(f)/w/P,b=64,y=[],$=[l,i,n/u],T=xe.convertShape(e[1].dims).slice();T.splice(-1,1,d/h),y.push(...nt($)),y.push(...nt(T)),y.push(...nt(e[2].dims)),e.length===4&&y.push(...nt(xe.convertShape(e[3].dims)));let g=[l,i,o/w];y.push(...nt(g));let M=E=>{let k=$.length,B=$e("a",e[0].dataType,k,u),N=$e("b",12,T.length,h),J=$e("scales",e[2].dataType,e[2].dims.length),q=[B,N,J],V=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;V&&q.push(V);let Y=g.length,H=tt("output",e[0].dataType,Y,w),Q=lr(e[0].dataType),ie=(()=>{switch(u){case 1:return`array<${Q}, 8>`;case 2:return`mat4x2<${Q}>`;case 4:return`mat2x4<${Q}>`;default:throw new Error(`${u}-component is not supported.`)}})(),le=()=>{let R=`
-          // reuse a data
-            var input_offset = ${B.indicesToOffset(`${B.type.indices}(batch, row, word_offset)`)};
-            var a_data: ${ie};
-            for (var j: u32 = 0; j < ${8/u}; j++) {
-              a_data[j] = ${B.getByOffset("input_offset")};
-              input_offset++;
-            }
-          `;for(let O=0;O<w*P;O++)R+=`
-            b_value = ${h===1?`b${O}_data`:`b${O}_data[i]`};
-            b_value_lower = unpack4xU8(b_value & b_mask);
-            b_value_upper = unpack4xU8((b_value >> 4) & b_mask);
-            b_quantized_values = ${ie}(${Array.from({length:4},(G,ne)=>`${Q}(b_value_lower[${ne}]), ${Q}(b_value_upper[${ne}])`).join(", ")});
-            b_dequantized_values = ${u===1?`${ie}(${Array.from({length:8},(G,ne)=>`(b_quantized_values[${ne}] - ${V?`zero_point${O}`:"zero_point"}) * scale${O}`).join(", ")});`:`(b_quantized_values - ${ie}(${Array(8).fill(`${V?`zero_point${O}`:"zero_point"}`).join(",")})) * scale${O};`};
-            workgroup_shared[local_id.x * ${P} + ${Math.floor(O/w)}]${w>1?`[${O%w}]`:""} += ${Array.from({length:8/u},(G,ne)=>`${u===1?`a_data[${ne}] * b_dequantized_values[${ne}]`:`dot(a_data[${ne}], b_dequantized_values[${ne}])`}`).join(" + ")};
-          `;return R},ae=()=>{let R=`
-            var col_index = col * ${w};
-            ${V?`
-            let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2;
-            var zero_point_byte_count: u32;
-            var zero_point_word_index: u32;
-            var zero_point_byte_offset: u32;
-            let zero_point_nibble_offset: u32 = block & 0x1u;
-            var zero_point_bits_offset: u32;
-            var zero_point_word: u32;`:`
-            // The default zero point is 8 for unsigned 4-bit quantization.
-            let zero_point = ${Q}(8);`}
-            `;for(let O=0;O<w*P;O++)R+=`
-            let scale${O} = ${J.getByOffset("col_index * nBlocksPerCol + block")};
-            ${V?`
-            zero_point_byte_count = col_index * zero_point_bytes_per_col + (block >> 0x1u);
-            zero_point_word_index = zero_point_byte_count >> 0x2u;
-            zero_point_byte_offset = zero_point_byte_count & 0x3u;
-            zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
-            zero_point_word = ${V.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
-            let zero_point${O} = ${Q}((zero_point_word) & 0xFu);`:""}
-            col_index += 1;`;return R},we=()=>{let R=`col_index = col * ${w};`;for(let O=0;O<w*P;O++)R+=`
-            let b${O}_data = ${N.getByIndices(`${N.type.indices}(col_index, block, word)`)};
-            col_index += 1;`;return R+=`
-            var b_value: u32;
-            let b_mask: u32 = 0x0F0F0F0Fu;
-            var b_value_lower: vec4<u32>;
-            var b_value_upper: vec4<u32>;
-            var b_quantized_values: ${ie};
-            var b_dequantized_values: ${ie};`,R};return`
-        var<workgroup> workgroup_shared: array<${H.type.value}, ${P*b}>;
-        ${E.declareVariables(...q,H)}
-        ${E.mainStart([b,1,1])}
-          let output_indices = ${H.offsetToIndices(`(global_idx / ${b}) * ${P}`)};
-          let col = output_indices[2];
-          let row = output_indices[1];
-          let batch = output_indices[0];
-          let nBlocksPerCol = uniforms.b_shape[1];
-
-          for (var block = local_id.x; block < nBlocksPerCol; block += ${b}) {
-            //process one block
-            var word_offset: u32 = block * ${r.blockSize/u};
-            ${ae()}
-            for (var word: u32 = 0; word < ${d}; word += ${h}) {
-              ${we()}
-              for (var i: u32 = 0; i < ${h}; i++) {
-                ${le()}
-                word_offset += ${8/u};
-              }
-            }
-          }
-          workgroupBarrier();
-
-          if (local_id.x < ${P}) {
-            var output_value: ${H.type.value} = ${H.type.value}(0);
-            var workgroup_shared_offset: u32 = local_id.x;
-            for (var b: u32 = 0u; b < ${b}u; b++) {
-              output_value += workgroup_shared[workgroup_shared_offset];
-              workgroup_shared_offset += ${P};
-            }
-            ${H.setByIndices(`${H.type.indices}(batch, row, col + local_id.x)`,"output_value")};
-          }
-        }`};return{name:"MatMulNBits",shaderCache:{hint:`${r.blockSize};${r.bits};${u};${h};${w};${P};${b}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:f,dataType:p}],dispatchGroup:{x:A},programUniforms:y}),getShaderSource:M}},Xf=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=xe.size(a),d=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(d),w=a.concat([i,o]),f=128,P=o%8===0?8:o%4===0?4:1,A=f/P,b=A*h*8,y=b/u,$=b/r.blockSize,T=xe.size(w)/P,g=[],M=[l,i,n/u],E=xe.convertShape(e[1].dims).slice();E.splice(-1,1,d/h),g.push(...nt(M)),g.push(...nt(E)),g.push(...nt(e[2].dims)),e.length===4&&g.push(...nt(xe.convertShape(e[3].dims)));let k=[l,i,o];g.push(...nt(k));let B=N=>{let J=M.length,q=$e("a",e[0].dataType,J,u),V=$e("b",12,E.length,h),Y=$e("scales",e[2].dataType,e[2].dims.length),H=[q,V,Y],Q=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;Q&&H.push(Q);let ie=k.length,le=tt("output",e[0].dataType,ie),ae=lr(e[0].dataType),we=()=>{switch(u){case 1:return`
-          let a_data0 = vec4<${ae}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]);
-          let a_data1 = vec4<${ae}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return`
-          let a_data0 = vec4<${ae}>(sub_a[word_offset], sub_a[word_offset + 1]);
-          let a_data1 = vec4<${ae}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return`
-          let a_data0 = sub_a[word_offset];
-          let a_data1 = sub_a[word_offset + 1];`;default:throw new Error(`${u}-component is not supported.`)}};return`
-        var<workgroup> sub_a: array<${q.type.value}, ${y}>;
-        var<workgroup> inter_results: array<array<${le.type.value}, ${A}>, ${P}>;
-        ${N.declareVariables(...H,le)}
-        ${N.mainStart([A,P,1])}
-          let output_indices = ${le.offsetToIndices(`workgroup_index * ${P}`)};
-          let col = output_indices[2];
-          let row = output_indices[1];
-          let batch = output_indices[0];
-          let n_blocks_per_col = uniforms.b_shape[1];
-          let num_tiles =  (n_blocks_per_col - 1) / ${$} + 1;
-
-          // Loop over shared dimension.
-          for (var tile: u32 = 0; tile < num_tiles; tile += 1) {
-            let a_col_start = tile * ${y};
-            // load one tile A data into shared memory.
-            for (var a_offset = local_idx; a_offset < ${y}; a_offset += ${f})
-            {
-              let a_col = a_col_start + a_offset;
-              if (a_col < uniforms.a_shape[2])
-              {
-                sub_a[a_offset] = ${q.getByIndices(`${q.type.indices}(batch, row, a_col)`)};
-              } else {
-                sub_a[a_offset] = ${q.type.value}(0);
-              }
-            }
-            workgroupBarrier();
-
-            // each thread process one block
-            let b_row = col + local_id.y;
-            let block = tile * ${$} + local_id.x;
-            ${Q?`
-            let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2;
-            let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u);
-            let zero_point_word_index = zero_point_byte_count >> 0x2u;
-            let zero_point_byte_offset = zero_point_byte_count & 0x3u;
-            let zero_point_nibble_offset: u32 = block & 0x1u;
-            let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
-            let zero_point_word = ${Q.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
-            let zero_point = ${ae}((zero_point_word) & 0xFu);`:`
-            // The default zero point is 8 for unsigned 4-bit quantization.
-            let zero_point = ${ae}(8);`}
-            let scale = ${Y.getByOffset("b_row * n_blocks_per_col + block")};
-            let b_data = ${V.getByIndices(`${V.type.indices}(b_row, block, 0)`)};
-            var word_offset = local_id.x * ${r.blockSize/u};
-            for (var i: u32 = 0; i < ${h}; i++) {
-              ${we()}
-              let b_value = ${h===1?"b_data":"b_data[i]"};
-              let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu);
-              let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu);
-              let b_quantized_values = mat2x4<${ae}>(${Array.from({length:4},(R,O)=>`${ae}(b_value_lower[${O}]), ${ae}(b_value_upper[${O}])`).join(", ")});
-              let b_dequantized_values = (b_quantized_values - mat2x4<${ae}>(${Array(8).fill("zero_point").join(",")})) * scale;
-              inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(R,O)=>`${`dot(a_data${O}, b_dequantized_values[${O}])`}`).join(" + ")};
-              word_offset += ${8/u};
-            }
-            workgroupBarrier();
-          }
-
-          if (local_idx < ${P}) {
-            var output_value: ${le.type.value} = ${le.type.value}(0);
-            for (var b = 0u; b < ${A}; b++) {
-              output_value += inter_results[local_idx][b];
-            }
-            if (col + local_idx < uniforms.output_shape[2])
-            {
-              ${le.setByIndices(`${le.type.indices}(batch, row, col + local_idx)`,"output_value")}
-            }
-          }
-        }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${r.blockSize};${u};${h};${A};${P}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:w,dataType:p}],dispatchGroup:{x:T},programUniforms:g}),getShaderSource:B}},Jf=(e,r)=>{qf(e.inputs,r),r.blockSize===32&&e.adapterInfo.isVendor("intel")&&e.adapterInfo.isArchitecture("gen-12lp")?e.compute(Xf(e.inputs,r)):e.compute(Qf(e.inputs,r))},Yf=e=>Dt(e)}),Zf,eg,tg,rg,sg,ng,ig,og,ag,Ov=Ue(()=>{pt(),Mt(),xt(),Zf=e=>{if(!e||e.length<1)throw new Error("Too few inputs");if(e[0].dataType!==1&&e[0].dataType!==10)throw new Error("Input type must be float or float16.");if(e.length>=2){let r=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(r=e[3].dims[0]*2===e[1].dims[0]),!r)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},eg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
-            k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
-            if (k < 0) {
-              break;
-            }
-            if (k >= i32(${rt("uniforms.x_shape",i,r)})) {
-              break;
-            }
-            offset += k * i32(${rt("uniforms.x_strides",i,r)});
-        `;return`
-          value = ${e.type.value}(uniforms.constant_value);
-          for (var i = 0; i < 1; i++) {
-            var offset = 0;
-            var k = 0;
-            ${s}
-            value = x[offset];
-          }
-      `},tg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
-                k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
-                if (k < 0) {
-                  k = -k;
-                }
-                {
-                  let _2n_1 = 2 * (i32(${rt("uniforms.x_shape",i,r)}) - 1);
-                  k = k % _2n_1;
-                  if(k >= i32(${rt("uniforms.x_shape",i,r)})) {
-                    k = _2n_1 - k;
-                  }
-                }
-                offset += k * i32(${rt("uniforms.x_strides",i,r)});
-            `;return`
-              var offset = 0;
-              var k = 0;
-              ${s}
-              value = x[offset];
-          `},rg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
-                k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
-                if (k < 0) {
-                  k = 0;
-                }
-                if (k >= i32(${rt("uniforms.x_shape",i,r)})) {
-                  k = i32(${rt("uniforms.x_shape",i,r)}) - 1;
-                }
-                offset += k * i32(${rt("uniforms.x_strides",i,r)});
-            `;return`
-              var offset = 0;
-              var k = 0;
-              ${s}
-              value = x[offset];
-          `},sg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
-                k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
-                if (k < 0)  {
-                  k += i32(${rt("uniforms.x_shape",i,r)}]);
-                }
-                if (k >= i32(${rt("uniforms.x_shape",i,r)})) {
-                  k -= i32(${rt("uniforms.x_shape",i,r)});
-                }
-                offset += k * i32(${rt("uniforms.x_strides",i,r)});
-            `;return`
-              var offset = 0;
-              var k = 0;
-              ${s}
-              value = x[offset];
-          `},ng=(e,r,t)=>{switch(t.mode){case 0:return eg(e,r,t.pads.length);case 1:return tg(e,r,t.pads.length);case 2:return rg(e,r,t.pads.length);case 3:return sg(e,r,t.pads.length);default:throw new Error("Invalid mode")}},ig=(e,r)=>{let t=xe.padShape(e[0].dims.slice(),r.pads),s=e[0].dims,i=xe.size(t),n=[{type:12,data:i},{type:6,data:r.pads}],o=e.length>=3&&e[2].data;r.mode===0&&n.push({type:o?e[2].dataType:1,data:r.value}),n.push(...nt(e[0].dims,t));let a=["rank"],l=d=>{let p=tt("output",e[0].dataType,t.length),u=$e("x",e[0].dataType,s.length),h=u.type.value,w=ng(p,s.length,r),f=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:r.pads.length}];return r.mode===0&&f.push({name:"constant_value",type:o?h:"f32"}),`
-            ${d.registerUniforms(f).declareVariables(u,p)}
-            ${d.mainStart()}
-            ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-
-            let indices = ${p.offsetToIndices("global_idx")};
-
-            var value = ${h}(0);
-            ${w}
-            output[global_idx] = value;
-        }`};return{name:"Pad",shaderCache:{hint:`${r.mode}${o}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(xe.size(t)/64)},programUniforms:n}),getShaderSource:l}},og=(e,r)=>{if(e.length>1){let t=e[1].getBigInt64Array(),s=e.length>=3&&e[2].data?e[2].dataType===10?e[2].getUint16Array()[0]:e[2].getFloat32Array()[0]:0,i=e[0].dims.length,n=new Int32Array(2*i).fill(0);if(e.length>=4){let a=e[3].getBigInt64Array();for(let l=0;l<a.length;l++)n[Number(a[l])]=Number(t[l]),n[Number(a[l])+i]=Number(t[l+a.length])}else t.forEach((a,l)=>n[Number(l)]=Number(a));let o=[];return n.forEach(a=>o.push(a)),{mode:r.mode,value:s,pads:o}}else return r},ag=(e,r)=>{Zf(e.inputs);let t=og(e.inputs,r);e.compute(ig(e.inputs,t),{inputs:[0]})}}),Ri,vc,xc,Tc,Ec,lg,dg,Pc,Cc,cg,ug,Sc,pg,hg,$c,mg,_g,fg,gg,Dv=Ue(()=>{ss(),pt(),Mt(),xt(),Ri=e=>{if(Vt.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error("Pool ops requires 1 input.")},vc=(e,r,t)=>{let s=r.format==="NHWC",i=e.dims.slice();s&&i.splice(1,0,i.pop());let n=Object.hasOwnProperty.call(r,"dilations"),o=r.kernelShape.slice(),a=r.strides.slice(),l=n?r.dilations.slice():[],d=r.pads.slice();va.adjustPoolAttributes(t,i,o,a,l,d);let p=va.computePoolOutputShape(t,i,a,l,o,d,r.autoPad),u=Object.assign({},r);n?Object.assign(u,{kernelShape:o,strides:a,pads:d,dilations:l,cacheKey:r.cacheKey}):Object.assign(u,{kernelShape:o,strides:a,pads:d,cacheKey:r.cacheKey});let h=p.slice();return h.push(h.splice(1,1)[0]),[u,s?h:p]},xc=(e,r)=>{let t=r.format==="NHWC",s=xe.size(e),i=xe.size(r.kernelShape),n=[{type:12,data:s},{type:12,data:i}],o=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(r.kernelShape.length<=2){let a=r.kernelShape[r.kernelShape.length-1],l=r.strides[r.strides.length-1],d=r.pads[r.pads.length/2-1],p=r.pads[r.pads.length-1],u=!!(d+p);n.push({type:12,data:a},{type:12,data:l},{type:12,data:d},{type:12,data:p}),o.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let h=!1;if(r.kernelShape.length===2){let w=r.kernelShape[r.kernelShape.length-2],f=r.strides[r.strides.length-2],P=r.pads[r.pads.length/2-2],A=r.pads[r.pads.length-2];h=!!(P+A),n.push({type:12,data:w},{type:12,data:f},{type:12,data:P},{type:12,data:A}),o.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[n,o,!0,u,h]}else{if(t)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let a=xe.computeStrides(r.kernelShape);n.push({type:12,data:a},{type:12,data:r.pads},{type:12,data:r.strides}),o.push({name:"kernelStrides",type:"u32",length:a.length},{name:"pads",type:"u32",length:r.pads.length},{name:"strides",type:"u32",length:r.strides.length});let l=r.pads.reduce((d,p)=>d+p);return[n,o,!!l,!1,!1]}},Tc=(e,r,t,s,i,n,o,a,l,d,p,u)=>{let h=i.format==="NHWC",w=r.type.value,f=tt("output",r.type.tensor,s);if(i.kernelShape.length<=2){let P="",A="",b="",y=t-(h?2:1);if(p?P=`
-                for (var i: u32 = 0u; i < uniforms.kw; i++) {
-                  xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i;
-                  if (xIndices[${y}] < 0 || xIndices[${y}]
-                      >= uniforms.x_shape[${y}]) {
-                    pad++;
-                    continue;
-                  }
-                  let x_val = x[${r.indicesToOffset("xIndices")}];
-                  ${n}
-                }`:P=`
-                for (var i: u32 = 0u; i < uniforms.kw; i++) {
-                  xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i;
-                  let x_val = x[${r.indicesToOffset("xIndices")}];
-                  ${n}
-                }`,i.kernelShape.length===2){let $=t-(h?3:2);u?A=`
-                for (var j: u32 = 0u; j < uniforms.kh; j++) {
-                  xIndices[${$}] = indices[${$}] * uniforms.sh - uniforms.phStart + j;
-                  if (xIndices[${$}] < 0 || xIndices[${$}] >= uniforms.x_shape[${$}]) {
-                    pad += i32(uniforms.kw);
-                    continue;
-                  }
-              `:A=`
-                for (var j: u32 = 0u; j < uniforms.kh; j++) {
-                  xIndices[${$}] = indices[${$}] * uniforms.sh - uniforms.phStart + j;
-                `,b=`
-              }
-            `}return`
-            ${e.registerUniforms(l).declareVariables(r,f)}
-
-            ${e.mainStart()}
-              ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-
-              let indices = ${f.offsetToIndices("global_idx")};
-              var xIndices = ${f.offsetToIndices("global_idx")};
-
-              var value = ${w}(${a});
-              var pad = 0;
-              ${A}
-              ${P}
-              ${b}
-              ${o}
-
-              output[global_idx] = value;
-            }`}else{if(h)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let P=i.kernelShape.length,A=i.pads.length,b="";return d?b=`
-                if (xIndices[j] >= uniforms.x_shape[j]) {
-                  pad++;
-                  isPad = true;
-                  break;
-                }
-              }
-              if (!isPad) {
-                let x_val = x[${r.indicesToOffset("xIndices")}];
-                ${n}
-              }`:b=`
-              }
-              let x_val = x[${r.indicesToOffset("xIndices")}];
-              ${n}
-            `,`
-            ${e.registerUniforms(l).declareVariables(r,f)}
-
-            ${e.mainStart()}
-              ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-              let indices = ${f.offsetToIndices("global_idx")};
-              var xIndices = ${f.offsetToIndices("global_idx")};
-
-              var offsets: array<u32, ${P}>;
-
-              var value = ${w}(${a});
-              var pad = 0;
-              var isPad = false;
-
-              for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {
-                var offset = i;
-                for (var j = 0u; j < ${P-1}u; j++) {
-                  offsets[j] = offset / ${rt("uniforms.kernelStrides","j",P)};
-                  offset -= offsets[j] * ${rt("uniforms.kernelStrides","j",P)};
-                }
-                offsets[${P-1}] = offset;
-
-                isPad = false;
-                for (var j = ${t-P}u; j < ${t}u; j++) {
-                  xIndices[j] = indices[j] * ${rt("uniforms.strides",`j - ${t-P}u`,P)}
-                    + offsets[j - ${t-P}u] - ${rt("uniforms.pads","j - 2u",A)};
-                  ${b}
-              }
-              ${o}
-
-              output[global_idx] = value;
-            }`}},Ec=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,lg=e=>`${Ec(e)};${e.countIncludePad}`,dg=e=>`${Ec(e)};${e.storageOrder};${e.dilations}`,Pc=e=>({format:e.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),Cc=(e,r,t,s)=>{let[i,n]=vc(r,s,t),o=$e("x",r.dataType,r.dims.length),a=o.type.value,l="value += x_val;",d="";i.countIncludePad?d+=`value /= ${a}(uniforms.kernelSize);`:d+=`value /= ${a}(i32(uniforms.kernelSize) - pad);`;let[p,u,h,w,f]=xc(n,i);p.push(...nt(r.dims,n));let P=["rank"];return{name:e,shaderCache:{hint:`${s.cacheKey};${h};${w};${f}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(xe.size(n)/64)},programUniforms:p}),getShaderSource:A=>Tc(A,o,r.dims.length,n.length,i,l,d,0,u,h,w,f)}},cg=e=>{let r=e.count_include_pad!==0,t=Pc(e);if(t.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let s={countIncludePad:r,...t,cacheKey:""};return{...s,cacheKey:lg(s)}},ug=(e,r)=>{Ri(e.inputs),e.compute(Cc("AveragePool",e.inputs[0],!1,r))},Sc={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},pg=e=>{let r=e.format;return{format:r,...Sc,cacheKey:r}},hg=(e,r)=>{Ri(e.inputs),e.compute(Cc("GlobalAveragePool",e.inputs[0],!0,r))},$c=(e,r,t,s)=>{let[i,n]=vc(r,s,t),o=`
-      value = max(x_val, value);
-    `,a="",l=$e("x",r.dataType,r.dims.length),d=["rank"],[p,u,h,w,f]=xc(n,i);return p.push(...nt(r.dims,n)),{name:e,shaderCache:{hint:`${s.cacheKey};${h};${w};${f}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(xe.size(n)/64)},programUniforms:p}),getShaderSource:P=>Tc(P,l,r.dims.length,n.length,i,o,a,r.dataType===10?-65504:-1e5,u,h,w,f)}},mg=(e,r)=>{Ri(e.inputs),e.compute($c("MaxPool",e.inputs[0],!1,r))},_g=e=>{let r=e.storage_order,t=e.dilations,s=Pc(e);if(r!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(s.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:r,dilations:t,...s,cacheKey:""};return{...i,cacheKey:dg(i)}},fg=e=>{let r=e.format;return{format:r,...Sc,cacheKey:r}},gg=(e,r)=>{Ri(e.inputs),e.compute($c("GlobalMaxPool",e.inputs[0],!0,r))}}),wg,yg,Mg,bg,Lv=Ue(()=>{pt(),Mt(),Yt(),xt(),wg=(e,r)=>{if(e.length<2||e.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(e.length===3&&e[1].dims===e[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[0].dataType===6&&e.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(e[1].dims.length!==0&&e[1].dims.length!==1&&e[1].dims.length!==e[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(e.length>2){if(e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[1].dims.length!==e[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!e[1].dims.map((t,s)=>t===e[2].dims[s]).reduce((t,s)=>t&&s,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(r.blockSize>0){if(e[1].dims.length===0||e[1].dims.length===1&&e[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!e[1].dims.map((i,n)=>n===r.axis||i===e[0].dims[n]).reduce((i,n)=>i&&n,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(e[1].dims.length!==e[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let t=e[0].dims[r.axis],s=e[1].dims[r.axis];if(r.blockSize<Math.ceil(t/s)||r.blockSize>Math.ceil(t/(s-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},yg=(e,r)=>{let t=xe.normalizeAxis(r.axis,e[0].dims.length),s=e[0].dataType,i=s===3,n=e[0].dims,o=e[1].dataType,a=xe.size(n),l=s===3||s===2,d=l?[Math.ceil(xe.size(e[0].dims)/4)]:e[0].dims,p=e[1].dims,u=e.length>2?e[2]:void 0,h=u?l?[Math.ceil(xe.size(u.dims)/4)]:u.dims:void 0,w=p.length===0||p.length===1&&p[0]===1,f=w===!1&&p.length===1,P=Xt(a),A=w&&(!l||P===4),b=A?P:1,y=A&&!l?P:1,$=$e("input",l?12:s,d.length,y),T=$e("scale",o,p.length),g=u?$e("zero_point",l?12:s,h.length):void 0,M=tt("output",o,n.length,b),E=[$,T];g&&E.push(g);let k=[d,p];u&&k.push(h);let B=[{type:12,data:a/b},{type:12,data:t},{type:12,data:r.blockSize},...nt(...k,n)],N=J=>{let q=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
-      ${J.registerUniforms(q).declareVariables(...E,M)}
-      ${J.mainStart()}
-          ${J.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-          let output_indices = ${M.offsetToIndices("global_idx")};
-
-          // Set input x
-          ${l?`
-            let input = ${$.getByOffset("global_idx / 4")};
-            let x_vec = ${i?"unpack4xI8(input)":"unpack4xU8(input)"};
-            let x_value = ${b===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${$.getByOffset("global_idx")};`};
-
-          // Set scale input
-          ${w?`let scale_value= ${T.getByOffset("0")}`:f?`
-            let scale_index = ${M.indicesGet("output_indices","uniforms.axis")};
-            let scale_value= ${T.getByOffset("scale_index")};`:`
-            var scale_indices: ${T.type.indices} = output_indices;
-            let index = ${T.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size;
-            ${T.indicesSet("scale_indices","uniforms.axis","index")};
-            let scale_value= ${T.getByIndices("scale_indices")};`};
-
-          // Set zero-point input
-          ${g?w?l?`
-                let zero_point_input = ${g.getByOffset("0")};
-                let zero_point_vec =  ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
-                let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${g.getByOffset("0")}`:f?l?`
-                let zero_point_index = ${M.indicesGet("output_indices","uniforms.axis")};
-                let zero_point_input = ${g.getByOffset("zero_point_index / 4")};
-                let zero_point_vec =  ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
-                let zero_point_value = zero_point_vec[zero_point_index % 4]`:`
-                let zero_point_index = ${M.indicesGet("output_indices","uniforms.axis")};
-                let zero_point_value = ${g.getByOffset("zero_point_index")};`:l?`
-                let zero_point_offset = ${T.indicesToOffset("scale_indices")};
-                let zero_point_input = ${g.getByOffset("zero_point_offset / 4")};
-                let zero_point_vec = ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
-                let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${g.getByIndices("scale_indices")};`:`let zero_point_value = ${l?i?"i32":"u32":$.type.value}(0);`};
-      // Compute and write output
-      ${M.setByOffset("global_idx",`${M.type.value}(x_value - zero_point_value) * scale_value`)};
-      }`};return{name:"DequantizeLinear",shaderCache:{hint:r.cacheKey,inputDependencies:g?["rank","rank","rank"]:["rank","rank"]},getShaderSource:N,getRunData:()=>({outputs:[{dims:n,dataType:o}],dispatchGroup:{x:Math.ceil(a/b/64),y:1,z:1},programUniforms:B})}},Mg=(e,r)=>{wg(e.inputs,r),e.compute(yg(e.inputs,r))},bg=e=>Dt({axis:e.axis,blockSize:e.blockSize})}),vg,xg,Tg,zv=Ue(()=>{ss(),pt(),xt(),vg=(e,r,t)=>{let s=e===r,i=e<r&&t<0,n=e>r&&t>0;if(s||i||n)throw new Error("Range these inputs' contents are invalid.")},xg=(e,r,t,s)=>{let i=Math.abs(Math.ceil((r-e)/t)),n=[i],o=i,a=[{type:12,data:o},{type:s,data:e},{type:s,data:t},...nt(n)],l=d=>{let p=tt("output",s,n.length),u=p.type.value,h=[{name:"outputSize",type:"u32"},{name:"start",type:u},{name:"delta",type:u}];return`
-        ${d.registerUniforms(h).declareVariables(p)}
-        ${d.mainStart()}
-        ${d.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-        output[global_idx] = uniforms.start + ${u}(global_idx) * uniforms.delta;
-      }`};return{name:"Range",shaderCache:{hint:`${s}`},getShaderSource:l,getRunData:()=>({outputs:[{dims:n,dataType:s}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:a})}},Tg=e=>{let r=0,t=0,s=0;e.inputs[0].dataType===6?(r=e.inputs[0].getInt32Array()[0],t=e.inputs[1].getInt32Array()[0],s=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(r=e.inputs[0].getFloat32Array()[0],t=e.inputs[1].getFloat32Array()[0],s=e.inputs[2].getFloat32Array()[0]),Vt.webgpu.validateInputContent&&vg(r,t,s),e.compute(xg(r,t,s,e.inputs[0].dataType),{inputs:[]})}}),Eg,Pg,Cg,Sg,Bv=Ue(()=>{pt(),Mt(),Yt(),xt(),Eg=(e,r,t,s)=>{if(e!=="none"&&s!=="i32"&&s!=="u32"&&s!=="f32")throw new Error(`Input ${s} is not supported with reduction ${e}.`);let i=`{
-                var oldValue = 0;
-                loop {
-                  let newValueF32 =`,n=`;
-                  let newValue = bitcast<i32>(newValueF32);
-                  let res = atomicCompareExchangeWeak(&${r}, oldValue, newValue);
-                  if res.exchanged {
-                    break;
-                  }
-                  oldValue = res.old_value;
-                }
-              }`;switch(e){case"none":return`${r}=${t};`;case"add":return s==="i32"||s==="u32"?`atomicAdd(&${r}, bitcast<${s}>(${t}));`:`
-              ${i}bitcast<${s}>(oldValue) + (${t})${n}`;case"max":return s==="i32"||s==="u32"?`atomicMax(&${r}, bitcast<${s}>(${t}));`:`
-                ${i}max(bitcast<f32>(oldValue), (${t}))${n}`;case"min":return s==="i32"||s==="u32"?`atomicMin(&${r}, bitcast<${s}>(${t}));`:`${i}min(bitcast<${s}>(oldValue), (${t}))${n}`;case"mul":return`${i}(bitcast<${s}>(oldValue) * (${t}))${n}`;default:throw new Error(`Reduction ${e} is not supported.`)}},Pg=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t,n=1,o=Math.ceil(xe.size(s)/n),a=s[s.length-1],l=xe.sizeFromDimension(t,a),d=[{type:12,data:o},{type:12,data:a},{type:12,data:l},...nt(e[1].dims,e[2].dims,i)],p=u=>{let h=$e("indices",e[1].dataType,e[1].dims.length),w=$e("updates",e[2].dataType,e[2].dims.length,n),f=r.reduction!=="none"&&r.reduction!==""?zp("output",e[0].dataType,i.length):tt("output",e[0].dataType,i.length,n);return`
-      ${u.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(h,w,f)}
-      ${u.mainStart()}
-        ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-  var hasDuplicates = false;
-  if (${r.reduction==="none"}) {
-    let n = ${xe.size(s)};
-    for (var i = 0; i < n; i = i + 1) {
-      for (var j = i + 1; j < n; j = j + 1) {
-        var index_i = i32(indices[i].x);
-        var index_j = i32(indices[j].x);
-        if (index_i == index_j) {
-          hasDuplicates = true;
-          break;
-        }
-      }
-      if (hasDuplicates) {
-        break;
-      }
-    }
-  }
-
-  var data_offset = 0u;
-  var indices_start = uniforms.last_index_dimension * global_idx;
-  if (${r.reduction==="none"} && hasDuplicates) {
-    if (global_idx != 0u) {
-      return;
-    }
-    indices_start = 0u;
-  }
-  let indices_end = indices_start + uniforms.last_index_dimension;
-  for (var i = indices_start; i < indices_end; i++) {
-    var index = i32(indices[i].x);
-    ${e[0].dims.length===1?`
-    let element_count_dim = uniforms.output_strides;
-    let dim_value = uniforms.output_shape;`:`
-    let element_count_dim = uniforms.output_strides[i - indices_start];
-    let dim_value = uniforms.output_shape[i - indices_start + uniforms.last_index_dimension];`}
-    if (index >= 0) {
-      if (index >= i32(dim_value)) {
-        index = i32(dim_value - 1);
-      }
-    } else {
-      if (index < -i32(dim_value)) {
-        index = 0;
-      } else {
-        index += i32(dim_value);
-      }
-    }
-    data_offset += u32((u32(index) * element_count_dim));
-  }
-
-  for (var i = 0u; i < uniforms.num_updates_elements; i++) {
-    let value = updates[uniforms.num_updates_elements * global_idx + i];
-    ${Eg(r.reduction,"output[data_offset + i]","value",f.type.value)}
-  }
-
-      }`};return{name:"ScatterND",shaderCache:{hint:`${r.cacheKey}_${r.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:d}),getShaderSource:p}},Cg=e=>Dt({reduction:e.reduction}),Sg=(e,r)=>{e.compute(Pg(e.inputs,r),{inputs:[e.inputs[1],e.inputs[2]],outputs:[]})}}),$g,kg,Ig,kc,Ag,Fg,Og,Dg,Lg,zg,Bg,Rg,Ic,Ng,jg,Ug,Vg,Wg,Gg,Kg,Rv=Ue(()=>{pt(),Mt(),Yt(),xt(),$g=(e,r)=>{if(e.every(t=>t>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),e.length>0){if(r.mode==="linear"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and
-            one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(r.mode==="cubic"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},kg=(e,r,t)=>{r.every(i=>i>=0&&i<t||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let s=new Array(t).fill(1);return r.forEach((i,n)=>s[i]=e[n]),s},Ig=(e,r,t,s,i,n)=>{let[o,a,l]=t>10?[1,2,3]:[-1,e.length>1?1:-1,-1],d=e[0].dims.length;if(o>0&&e.length>o&&e[o].dims.length>0)e[o].getFloat32Array().forEach(p=>n.push(p));else if(r.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(a>0&&e.length>a&&e[a].dims.length===1&&e[a].dims[0]>0){if(e[a].getFloat32Array().forEach(p=>s.push(p)),s.length!==0&&s.length!==d&&t>=18&&s.length!==r.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");$g(s,r),r.axes.length>0&&kg(s,r.axes,d).forEach((p,u)=>s[u]=p)}if(l>0&&e.length>l&&e[l].dims.length===1&&e[l].dims[0]>0&&(e[l].getBigInt64Array().forEach(p=>i.push(Number(p))),i.length!==0&&i.length!==d&&t>=18&&i.length!==r.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(r.axes.length>0){if(s.length!==0&&s.length!==r.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(i.length!==0&&i.length!==r.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof s<"u"&&typeof i<"u"&&s.length>0&&i.length>d)throw new Error("Resize requires only of scales or sizes to be specified")},kc=(e,r,t,s)=>`
-  // The whole part and the fractional part are calculated separately due to inaccuracy of floating
-  // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an
-  // offset-by-one error later in floor().
-  let big = (${e}) * (${r});
-  let whole = ${s}(big / (${t}));
-  let fract = ${s}(big % (${t})) / ${s}(${t});
-  return whole + fract;
-`,Ag=(e,r)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
-     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${r} { `+(()=>{switch(e){case"asymmetric":return`
-          if (xScale < 1.0 || floor(xScale) != xScale) {
-            return ${r}(xResized) / ${r}(xScale);
-          } else {
-            ${kc("xResized","lengthOriginal","lengthResized",r)}
-          }
-        `;case"pytorch_half_pixel":return`if (lengthResized > 1) {
-                    return (${r}(xResized) + 0.5) / ${r}(xScale) - 0.5;
-                  } else {
-                    return 0.0;
-                  }`;case"tf_half_pixel_for_nn":return`return (${r}(xResized) + 0.5) / ${r}(xScale);`;case"align_corners":return`if (lengthResized == 1) {
-                    return 0.0;
-                  } else {
-                    ${kc("xResized","lengthOriginal - 1","lengthResized - 1",r)}
-                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
-                    return ${r}(roiStart) * ${r}(lengthOriginal - 1) +
-                        (${r}(xResized) * ${r}(roiEnd - roiStart) * ${r}(lengthOriginal - 1)) /
-                        ${r}(lengthResized - 1);
-                  } else {
-                    return 0.5 * ${r}(roiStart + roiEnd) * ${r}(lengthOriginal - 1);
-                  }`;case"half_pixel_symmetric":return`const outputWidth = ${r}xScale * ${r}(lengthResized);
-                  const adjustment = ${r}(lengthResized) / outputWidth;
-                  const center = ${r}(lengthOriginal) / 2;
-                  const offset = center * (1 - adjustment);
-                  return offset + ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;case"half_pixel":return`return ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+"}",Fg=(e,r,t)=>`fn getNearestPixelFromOriginal(xOriginal: ${t}, isDownSample: bool) -> ${t} {`+(()=>{switch(e){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) {             return ceil(xOriginal);           } else {             return round(xOriginal);           }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) {                     return floor(xOriginal);                   } else {                     return round(xOriginal);                   }";case"simple":default:if(r<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${e} is not supported`)}})()+"}",Og=(e,r,t)=>{let s=new Array(t).fill(0).concat(new Array(t).fill(1)),i=e.length===0?s:e.slice();return r.length>0?(r.forEach((n,o)=>{s[n]=i[o],s[o+t]=i[r.length+o]}),s):i},Dg=(e,r,t,s)=>{let i=[];if(t.length>0)if(s.length>0){if(e.forEach(n=>i.push(n)),Math.max(...s)>e.length)throw new Error("axes is out of bound");s.forEach((n,o)=>i[n]=t[o])}else t.forEach(n=>i.push(n));else{if(r.length===0)throw new Error("Resize requires either scales or sizes.");i=e.map((n,o)=>Math.round(n*r[o]))}return i},Lg=(e,r,t)=>{let s=(()=>{switch(t.keepAspectRatioPolicy){case"not_larger":return t.axes.length>0?Math.min(...t.axes.map(n=>r[n]),Number.MAX_VALUE):Math.min(...r,Number.MAX_VALUE);case"not_smaller":return t.axes.length>0?Math.max(...t.axes.map(n=>r[n]),Number.MIN_VALUE):Math.max(...r,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${t.keepAspectRatioPolicy} is not supported`)}})();r.fill(1,0,r.length);let i=e.slice();return t.axes.length>0?(t.axes.forEach(n=>r[n]=s),t.axes.forEach(n=>i[n]=Math.round(e[n]*r[n]))):(r.fill(s,0,r.length),i.forEach((n,o)=>i[o]=Math.round(n*r[o]))),i},zg=(e,r,t,s,i)=>`
-    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> array<${e.type.value}, ${t.length}> {
-      var original_indices: array<${e.type.value}, ${t.length}>;
-      for (var i:u32 = 0; i < ${t.length}; i++) {
-        var output_index = ${e.indicesGet("output_indices","i")};
-        var scale = ${rt("uniforms.scales","i",s)};
-        var roi_low = ${rt("uniforms.roi","i",i)};
-        var roi_hi = ${rt("uniforms.roi",`i + ${r.length}`,i)};
-        if (scale == 1.0) {
-          original_indices[i] = ${e.type.value}(output_index);
-        } else {
-          var input_shape_i = ${rt("uniforms.input_shape","i",r.length)};
-          var output_shape_i = ${rt("uniforms.output_shape","i",t.length)};
-          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
-                                                                           input_shape_i, roi_low, roi_hi);
-        }
-      }
-      return original_indices;
-    }`,Bg=(e,r,t,s,i,n,o)=>`
-    fn calculateInputIndicesFromOutputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} {
-      var input_indices: ${e.type.indices};
-      for (var i:u32 = 0; i < ${s.length}; i++) {
-        var output_index = ${r.indicesGet("output_indices","i")};
-        var input_index: u32;
-        var scale = ${rt("uniforms.scales","i",i)};
-        if (scale == 1.0) {
-          input_index = output_index;
-        } else {
-          var roi_low = ${rt("uniforms.roi","i",n)};
-          var roi_hi = ${rt("uniforms.roi",`i + ${t.length}`,n)};
-          var input_shape_i = ${rt("uniforms.input_shape","i",t.length)};
-          var output_shape_i = ${rt("uniforms.output_shape","i",s.length)};
-          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
-                                                                        input_shape_i, roi_low, roi_hi);
-          if (!${o} || (original_idx >= 0 && original_idx < ${r.type.value}(input_shape_i))) {
-            if (original_idx < 0) {
-              input_index = 0;
-            } else if (original_idx > ${r.type.value}(input_shape_i - 1)) {
-              input_index = input_shape_i - 1;
-            } else {
-              input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));
-            }
-          } else {
-            input_index = u32(original_idx);
-          }
-        }
-        ${e.indicesSet("input_indices","i","input_index")}
-      }
-      return input_indices;
-    }`,Rg=(e,r)=>`
-    fn checkInputIndices(input_indices: ${e.type.indices}) -> bool {
-      for (var i:u32 = 0; i < ${r.length}; i++) {
-        var input_index = ${e.indicesGet("input_indices","i")};
-        if (input_index < 0 || input_index >= ${rt("uniforms.input_shape","i",r.length)}) {
-          return false;
-        }
-      }
-      return true;
-    }`,Ic=(e,r,t,s)=>e.rank>s?`
-    ${e.indicesSet("input_indices",r,"channel")};
-    ${e.indicesSet("input_indices",t,"batch")};
-`:"",Ng=(e,r,t,s,i)=>{let[n,o,a,l]=t.length===2?[-1,0,1,-1]:[0,2,3,1],d=e.type.value;return`
-    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${d} {
-      var input_indices: ${e.type.indices};
-      ${e.indicesSet("input_indices",o,`max(0, min(row, ${t[o]} - 1))`)};
-      ${e.indicesSet("input_indices",a,`max(0, min(col, ${t[a]} - 1))`)};
-      ${Ic(e,l,n,2)}
-      return ${e.getByIndices("input_indices")};
-    }
-
-    fn bilinearInterpolation(output_indices: ${r.type.indices}) -> ${d} {
-      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
-      var row:${d} = originalIndices[${o}];
-      var col:${d} = originalIndices[${a}];
-      ${s?`if (row < 0 || row > (${t[o]} - 1) || col < 0 || col > (${t[a]} - 1)) {
-        return ${i};
-      }`:""};
-      row = max(0, min(row, ${t[o]} - 1));
-      col = max(0, min(col, ${t[a]} - 1));
-      var row1: u32 = u32(row);
-      var col1: u32 = u32(col);
-      var row2: u32 = u32(row + 1);
-      var col2: u32 = u32(col + 1);
-      var channel: u32 = ${t.length>2?`u32(originalIndices[${l}])`:"0"};
-      var batch: u32 =  ${t.length>2?`u32(originalIndices[${n}])`:"0"};
-      var x11: ${d} = getInputValue(batch, channel, row1, col1);
-      var x12: ${d} = getInputValue(batch, channel, row1, col2);
-      var x21: ${d} = getInputValue(batch, channel, row2, col1);
-      var x22: ${d} = getInputValue(batch, channel, row2, col2);
-      var dx1: ${d} = abs(row - ${d}(row1));
-      var dx2: ${d} = abs(${d}(row2) - row);
-      var dy1: ${d} = abs(col - ${d}(col1));
-      var dy2: ${d} = abs(${d}(col2) - col);
-      if (row1 == row2) {
-        dx1 = 0.5;
-        dx2 = 0.5;
-      }
-      if (col1 == col2) {
-        dy1 = 0.5;
-        dy2 = 0.5;
-      }
-      return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);
-    }`},jg=(e,r,t,s,i,n,o,a,l,d)=>{let p=t.length===2,[u,h]=p?[0,1]:[2,3],w=e.type.value,f=P=>{let A=P===u?"row":"col";return`
-      fn ${A}CubicInterpolation(input_indices: ${e.type.indices}, output_indices: ${r.type.indices}) -> ${w} {
-        var output_index = ${r.indicesGet("output_indices",P)};
-        var originalIdx: ${w} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[P]},
-        ${s[P]}, ${t[P]}, ${n[P]}, ${n[P]} + ${t.length});
-        var fractOriginalIdx: ${w} = originalIdx - floor(originalIdx);
-        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);
-
-        if (${a} && (originalIdx < 0 || originalIdx > (${t[P]} - 1))) {
-          return ${l};
-        }
-        var data: array<${w}, 4> = array<${w}, 4>(0.0, 0.0, 0.0, 0.0);
-        for (var i: i32 = -1; i < 3; i++) {
-          var ${A}: ${w} = originalIdx + ${w}(i);
-          if (${A} < 0 || ${A} >= ${t[P]}) {
-            ${d?`coefs[i + 1] = 0.0;
-                        continue;`:a?`return ${l};`:`${A} = max(0, min(${A}, ${t[P]} - 1));`};
-          }
-        var input_indices_copy: ${e.type.indices} = input_indices;
-          ${e.indicesSet("input_indices_copy",P,`u32(${A})`)};
-          data[i + 1] = ${P===u?e.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
-        }
-        return cubicInterpolation1D(data, coefs);
-      }`};return`
-    ${f(u)};
-    ${f(h)};
-  fn getCubicInterpolationCoefs(s: ${w}) -> array<${w}, 4> {
-    var absS = abs(s);
-    var coeffs: array<${w}, 4> = array<${w}, 4>(0.0, 0.0, 0.0, 0.0);
-    var oneMinusAbsS: ${w} = 1.0 - absS;
-    var twoMinusAbsS: ${w} = 2.0 - absS;
-    var onePlusAbsS: ${w} = 1.0 + absS;
-    coeffs[0] = ((${o} * onePlusAbsS - 5 * ${o}) * onePlusAbsS + 8 * ${o}) * onePlusAbsS - 4 * ${o};
-    coeffs[1] = ((${o} + 2) * absS - (${o} + 3)) * absS * absS + 1;
-    coeffs[2] = ((${o} + 2) * oneMinusAbsS - (${o} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
-    coeffs[3] = ((${o} * twoMinusAbsS - 5 * ${o}) * twoMinusAbsS + 8 * ${o}) * twoMinusAbsS - 4 * ${o};
-    return coeffs;
-  }
-
-  fn cubicInterpolation1D(x: array<${w}, 4>, coefs: array<${w}, 4>) -> ${w} {
-    var coefsSum: ${w} = coefs[0] + coefs[1] + coefs[2] + coefs[3];
-    return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;
-  }
-
-  fn bicubicInterpolation(output_indices: ${r.type.indices}) -> ${w} {
-    var input_indices: ${e.type.indices} = output_indices;
-    return colCubicInterpolation(input_indices, output_indices);
-  }
-    `},Ug=(e,r,t,s,i)=>{let[n,o,a,l,d]=t.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],p=e.type.value;return`
-    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${p} {
-      var input_indices: ${e.type.indices};
-      ${e.indicesSet("input_indices",o,`max(0, min(depth, ${t[o]} - 1))`)};
-      ${e.indicesSet("input_indices",a,`max(0, min(height, ${t[a]} - 1))`)};
-      ${e.indicesSet("input_indices",l,`max(0, min(width, ${t[l]} - 1))`)};
-      ${Ic(e,d,n,3)}
-      return ${e.getByIndices("input_indices")};
-    }
-
-    fn trilinearInterpolation(output_indices: ${r.type.indices}) -> ${p} {
-      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
-      var depth:${p} = originalIndices[${o}];
-      var height:${p} = originalIndices[${a}];
-      var width:${p} = originalIndices[${l}];
-      ${s?`if (depth < 0 || depth > (${t[o]} - 1) || height < 0 || height > (${t[a]} - 1) || width < 0 || (width > ${t[l]} - 1)) {
-      return ${i};
-        }`:""};
-
-    depth = max(0, min(depth, ${t[o]} - 1));
-      height = max(0, min(height, ${t[a]} - 1));
-      width = max(0, min(width, ${t[l]} - 1));
-      var depth1: u32 = u32(depth);
-      var height1: u32 = u32(height);
-      var width1: u32 = u32(width);
-      var depth2: u32 = u32(depth + 1);
-      var height2: u32 = u32(height + 1);
-      var width2: u32 = u32(width + 1);
-      var channel: u32 = ${t.length>3?`u32(originalIndices[${d}])`:"0"};
-      var batch: u32 =  ${t.length>3?`u32(originalIndices[${n}])`:"0"};
-
-      var x111: ${p} = getInputValue(batch, channel, depth1, height1, width1);
-      var x112: ${p} = getInputValue(batch, channel, depth1, height1, width2);
-      var x121: ${p} = getInputValue(batch, channel, depth1, height2, width1);
-      var x122: ${p} = getInputValue(batch, channel, depth1, height2, width2);
-      var x211: ${p} = getInputValue(batch, channel, depth2, height1, width1);
-      var x212: ${p} = getInputValue(batch, channel, depth2, height1, width2);
-      var x221: ${p} = getInputValue(batch, channel, depth2, height2, width1);
-      var x222: ${p} = getInputValue(batch, channel, depth2, height2, width2);
-      var dx1: ${p} = abs(depth - ${p}(depth1));
-      var dx2: ${p} = abs(${p}(depth2) - depth);
-      var dy1: ${p} = abs(height - ${p}(height1));
-      var dy2: ${p} = abs(${p}(height2) - height);
-      var dz1: ${p} = abs(width - ${p}(width1));
-      var dz2: ${p} = abs(${p}(width2) - width);
-      if (depth1 == depth2) {
-        dx1 = 0.5;
-        dx2 = 0.5;
-      }
-      if (height1 == height2) {
-        dy1 = 0.5;
-        dy2 = 0.5;
-      }
-      if (width1 == width2) {
-        dz1 = 0.5;
-        dz2 = 0.5;
-      }
-      return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +
-              x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);
-    }`},Vg=(e,r,t,s,i,n)=>{let o=e.dims,a=Og(n,r.axes,o.length),l=Dg(o,s,i,r.axes),d=s.slice();s.length===0&&(d=o.map((y,$)=>y===0?1:l[$]/y),r.keepAspectRatioPolicy!=="stretch"&&(l=Lg(o,d,r)));let p=tt("output",e.dataType,l.length),u=$e("input",e.dataType,o.length),h=xe.size(l),w=o.length===l.length&&o.every((y,$)=>y===l[$]),f=r.coordinateTransformMode==="tf_crop_and_resize",P=r.extrapolationValue,A=u.type.value,b=y=>`
-      ${w?"":`
-      ${Ag(r.coordinateTransformMode,A)};
-      ${(()=>{switch(r.mode){case"nearest":return`
-              ${Rg(u,o)};
-              ${Fg(r.nearestMode,t,A)};
-              ${Bg(u,p,o,l,d.length,a.length,f)};
-              `;case"linear":return`
-              ${zg(p,o,l,d.length,a.length)};
-              ${(()=>{if(o.length===2||o.length===4)return`${Ng(u,p,o,f,P)}`;if(o.length===3||o.length===5)return`${Ug(u,p,o,f,P)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
-            `;case"cubic":return`
-            ${(()=>{if(o.length===2||o.length===4)return`${jg(u,p,o,l,d,a,r.cubicCoeffA,f,r.extrapolationValue,r.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
-            `;default:throw Error("Invalid resize mode")}})()};
-      `}
-      ${y.registerUniform("output_size","u32").registerUniform("scales","f32",d.length).registerUniform("roi","f32",a.length).declareVariables(u,p)}
-      ${y.mainStart()}
-        ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-        ${w?"output[global_idx] = input[global_idx];":`
-        let output_indices = ${p.offsetToIndices("global_idx")};
-        var input_indices: ${u.type.indices};
-        ${(()=>{switch(r.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
-                if (checkInputIndices(input_indices)) {
-                  output[global_idx] = ${u.getByIndices("input_indices")};
-                } else {
-                  output[global_idx] = ${r.extrapolationValue};
-                }`;case"linear":return`output[global_idx] = ${o.length===2||o.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${r.mode}`)}})()};
-`}
-      }`;return{name:"Resize",shaderCache:{hint:`${r.cacheKey}|${t}|${d.length>0?r.mode==="cubic"?d:d.length:""}|${i.length>0?i:""}|${a.length>0?a:""}|${w}|${r.mode==="nearest"?o.length:o}`,inputDependencies:["rank"]},getShaderSource:b,getRunData:()=>({outputs:[{dims:l,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:[{type:12,data:h},{type:1,data:d},{type:1,data:a},...nt(o,l)]})}},Wg=e=>{let r=e.customDataBuffer;return new Uint32Array(r,r.byteOffset,1)[0]},Gg=(e,r)=>{let t=[],s=[],i=[],n=Wg(e);if(r.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");Ig(e.inputs,r,n,t,s,i),e.compute(Vg(e.inputs[0],r,n,t,s,i),{inputs:[0]})},Kg=e=>{let r=e.antialias,t=e.axes,s=e.coordinateTransformMode,i=e.cubicCoeffA,n=e.excludeOutside!==0,o=e.extrapolationValue,a=e.keepAspectRatioPolicy,l=e.mode,d=e.nearestMode===""?"simple":e.nearestMode;return Dt({antialias:r,axes:t,coordinateTransformMode:s,cubicCoeffA:i,excludeOutside:n,extrapolationValue:o,keepAspectRatioPolicy:a,mode:l,nearestMode:d})}}),Hg,qg,Qg,Nv=Ue(()=>{pt(),Mt(),Yt(),xt(),Hg=(e,r)=>{let[t,s,i,n]=e,{numHeads:o,rotaryEmbeddingDim:a}=r;if(t.dims.length!==3&&t.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${t.dims.length}`);if(!xe.areEqual(s.dims,[])&&!xe.areEqual(s.dims,[1])&&s.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${s.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(n.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${n.dims.length}`);if(!xe.areEqual(i.dims,n.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(a>0&&o===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let l=t.dims[0],d=t.dims[t.dims.length-2],p=i.dims[0],u=xe.sizeFromDimension(t.dims,1)/d,h=a===0?i.dims[1]*2:u/o;if(a>h)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(s.dims.length===2){if(l!==s.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${s.dims[0]}`);if(d!==s.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${s.dims[1]}`)}if(h/2!==i.dims[1]&&a/2!==i.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${i.dims[1]}`);if(d>p)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},qg=(e,r)=>{let{interleaved:t,numHeads:s,rotaryEmbeddingDim:i,scale:n}=r,o=e[0].dims[0],a=xe.sizeFromDimension(e[0].dims,1),l=e[0].dims[e[0].dims.length-2],d=a/l,p=e[2].dims[1],u=i===0?p*2:d/s,h=new Array(o,l,d/u,u-p),w=xe.computeStrides(h),f=[{type:1,data:n},{type:12,data:h},{type:12,data:w},...e[0].dims.length===3?new Array({type:12,data:[a,d,u,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[a,u,l*u,1]}):[],...nt(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],P=A=>{let b=$e("input",e[0].dataType,e[0].dims.length),y=$e("position_ids",e[1].dataType,e[1].dims.length),$=$e("cos_cache",e[2].dataType,e[2].dims.length),T=$e("sin_cache",e[3].dataType,e[3].dims.length),g=tt("output",e[0].dataType,e[0].dims.length);return A.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:h.length},{name:"global_strides",type:"u32",length:w.length},{name:"input_output_strides",type:"u32",length:w.length}]),`
-        ${A.declareVariables(b,y,$,T,g)}
-
-        ${A.mainStart(jn)}
-          let half_rotary_emb_dim = uniforms.${$.name}_shape[1];
-          let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;
-          let size = uniforms.global_shape[0] * uniforms.global_strides[0];
-          ${A.guardAgainstOutOfBoundsWorkgroupSizes("size")}
-
-          if (bsnh[3] < half_rotary_emb_dim) {
-            let position_ids_idx =
-                ${y.broadcastedIndicesToOffset("bsnh.xy",tt("",y.type.tensor,2))};
-            let position_id =
-                u32(${y.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);
-            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${t});
-            let j = i + select(half_rotary_emb_dim, 1, ${t});
-            let re = ${b.getByOffset("i")} * ${$.get("position_id","bsnh[3]")} -
-                ${b.getByOffset("j")} * ${T.get("position_id","bsnh[3]")};
-            ${g.setByOffset("i","re")}
-            let im = ${b.getByOffset("i")} * ${T.get("position_id","bsnh[3]")} +
-                ${b.getByOffset("j")} * ${$.get("position_id","bsnh[3]")};
-            ${g.setByOffset("j","im")}
-          } else {
-            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
-            ${g.setByOffset("k",b.getByOffset("k"))}
-          }
-        }`};return{name:"RotaryEmbedding",shaderCache:{hint:Dt({interleaved:t}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:P,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(xe.size(h)/jn)},programUniforms:f})}},Qg=(e,r)=>{Hg(e.inputs,r),e.compute(qg(e.inputs,r))}}),Xg,Jg,Yg,jv=Ue(()=>{pt(),Mt(),xt(),Xg=e=>{if(!e||e.length<3)throw new Error("layerNorm requires at least 3 inputs.");let r=e[0],t=e[1],s=e[2];if(r.dataType!==t.dataType||r.dataType!==s.dataType)throw new Error("All inputs must have the same data type");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Input must be 2D or 3D");if(t.dims.length!==3&&t.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=r.dims[r.dims.length-1],n=r.dims[r.dims.length-2];if(t.dims[t.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(t.dims[t.dims.length-2]!==n)throw new Error("Skip must have the same sequence length as input");if(s.dims.length!==1)throw new Error("Gamma must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(e.length>3){let o=e[3];if(o.dims.length!==1)throw new Error("Beta must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(e.length>4){let o=e[4];if(o.dims.length!==1)throw new Error("Bias must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Jg=(e,r,t,s)=>{let i=r.simplified,n=e[0].dims,o=xe.size(n),a=n,l=o,d=n.slice(-1)[0],p=s?n.slice(0,-1).concat(1):[],u=!i&&e.length>3,h=e.length>4,w=s&&t>1,f=s&&t>2,P=t>3,A=64,b=Xt(d),y=[{type:12,data:l},{type:12,data:b},{type:12,data:d},{type:1,data:r.epsilon}],$=g=>{let M=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],E=[$e("x",e[0].dataType,e[0].dims,b),$e("skip",e[1].dataType,e[1].dims,b),$e("gamma",e[2].dataType,e[2].dims,b)];u&&E.push($e("beta",e[3].dataType,e[3].dims,b)),h&&E.push($e("bias",e[4].dataType,e[4].dims,b)),E.push(tt("output",e[0].dataType,a,b)),w&&E.push(tt("mean_output",1,p)),f&&E.push(tt("inv_std_output",1,p)),P&&E.push(tt("input_skip_bias_sum",e[0].dataType,a,b));let k=lr(e[0].dataType),B=lr(1,b);return`
-
-      ${g.registerUniforms(M).declareVariables(...E)}
-      var<workgroup> sum_shared : array<${B}, ${A}>;
-      var<workgroup> sum_squared_shared : array<${B}, ${A}>;
-
-      ${g.mainStart([A,1,1])}
-        let ix = local_id.x;
-        let iy = global_id.x / ${A};
-
-        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
-        var stride = hidden_size_vectorized / ${A};
-        let offset = ix * stride + iy * hidden_size_vectorized;
-        let offset1d = stride * ix;
-        if (ix == ${A-1}) {
-          stride = hidden_size_vectorized - stride * ix;
-        }
-        for (var i: u32 = 0; i < stride; i++) {
-          let skip_value = skip[offset + i];
-          let bias_value = ${h?"bias[offset1d + i]":k+"(0.0)"};
-          let input_value = x[offset + i];
-          let value = input_value + skip_value + bias_value;
-          ${P?"input_skip_bias_sum[offset + i] = value;":""}
-          output[offset + i] = value;
-          let f32_value = ${Un(k,b,"value")};
-          sum_shared[ix] += f32_value;
-          sum_squared_shared[ix] += f32_value * f32_value;
-        }
-        workgroupBarrier();
-
-        var reduce_size : u32 = ${A};
-        for (var curr_size = reduce_size >> 1;  curr_size > 0; curr_size = reduce_size >> 1) {
-          reduce_size = curr_size + (reduce_size & 1);
-          if (ix < curr_size) {
-            sum_shared[ix] += sum_shared[ix + reduce_size];
-            sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size];
-          }
-          workgroupBarrier();
-        }
-
-        let sum = sum_shared[0];
-        let square_sum = sum_squared_shared[0];
-        let mean = ${Ws("sum",b)} / f32(uniforms.hidden_size);
-        let inv_std_dev = inverseSqrt(${Ws("square_sum",b)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon);
-        ${w?"mean_output[global_idx] = mean;":""}
-        ${f?"inv_std_output[global_idx] = inv_std_dev;":""}
-
-        for (var i: u32 = 0; i < stride; i++) {
-          output[offset + i] = (output[offset + i] ${i?"":`- ${k}(mean)`}) *
-            ${k}(inv_std_dev) * gamma[offset1d + i]
-            ${u?"+ beta[offset1d + i]":""};
-        }
-      }`},T=[{dims:a,dataType:e[0].dataType}];return t>1&&T.push({dims:p,dataType:1}),t>2&&T.push({dims:p,dataType:1}),t>3&&T.push({dims:n,dataType:e[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${b};${w};${f};${P}`,inputDependencies:e.map((g,M)=>"type")},getShaderSource:$,getRunData:()=>({outputs:T,dispatchGroup:{x:Math.ceil(l/d)},programUniforms:y})}},Yg=(e,r)=>{Xg(e.inputs);let t=[0];e.outputCount>1&&t.push(-3),e.outputCount>2&&t.push(-3),e.outputCount>3&&t.push(3),e.compute(Jg(e.inputs,r,e.outputCount,!1),{outputs:t})}}),Zg,Ni,ew,Ac,tw,rw,sw,nw,Uv=Ue(()=>{pt(),Mt(),Yt(),xt(),Zg=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");if(r.axes.length!==0){if(r.axes.length!==r.starts.length||r.axes.length!==r.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(r.starts.length!==r.ends.length)throw new Error("starts and ends must have the same length");e.slice(1).forEach((t,s)=>{if(e[s+1].dataType!==6&&e[s+1].dataType!==7)throw new Error(`Input ${s} must be an array of int32 or int64`)})},Ni=(e,r)=>{let t=[];if(e.length>r)if(e[r].dataType===7)e[r].getBigInt64Array().forEach(s=>t.push(Number(s)));else if(e[r].dataType===6)e[r].getInt32Array().forEach(s=>t.push(Number(s)));else throw new Error(`Input ${r} must be an array of int32 or int64`);return t},ew=(e,r)=>{if(e.length>1){let t=Ni(e,1),s=Ni(e,2),i=Ni(e,3);return i.length===0&&(i=[...Array(e[0].dims.length).keys()]),Dt({starts:t,ends:s,axes:i})}else return r},Ac=(e,r,t,s,i)=>{let n=e;return e<0&&(n+=t[s[r]]),i[r]<0?Math.max(0,Math.min(n,t[s[r]]-1)):Math.max(0,Math.min(n,t[s[r]]))},tw=(e,r,t)=>`fn calculateInputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} {
-          var input_indices: ${e.type.indices};
-          var carry = 0u;
-          for (var i = ${t.length}; i >= 0; i--) {
-            let input_shape_i = ${rt("uniforms.input_shape","i",t.length)};
-            let steps_i = ${rt("uniforms.steps","i",t.length)};
-            let signs_i = ${rt("uniforms.signs","i",t.length)};
-            let starts_i = ${rt("uniforms.starts","i",t.length)};
-            var output_index = ${r.indicesGet("output_indices","i")};
-            var input_index = output_index * steps_i + starts_i + carry;
-            carry = input_index / input_shape_i;
-            input_index = input_index % input_shape_i;
-            if (signs_i < 0) {
-              input_index = input_shape_i - input_index - 1u + starts_i;
-            }
-            ${e.indicesSet("input_indices","i","input_index")};
-          }
-          return input_indices;
-      }`,rw=(e,r)=>{let t=e[0].dims,s=xe.size(t),i=r.axes.length>0?xe.normalizeAxes(r.axes,t.length):[...Array(t.length).keys()],n=Ni(e,4);n.forEach(b=>b!==0||(()=>{throw new Error("step cannot be 0")})),n.length===0&&(n=Array(i.length).fill(1));let o=r.starts.map((b,y)=>Ac(b,y,t,i,n)),a=r.ends.map((b,y)=>Ac(b,y,t,i,n));if(i.length!==o.length||i.length!==a.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==t.length)for(let b=0;b<t.length;++b)i.includes(b)||(o.splice(b,0,0),a.splice(b,0,t[b]),n.splice(b,0,1));let l=n.map(b=>Math.sign(b));n.forEach((b,y,$)=>{if(b<0){let T=(a[y]-o[y])/b,g=o[y],M=g+T*n[y];o[y]=M,a[y]=g,$[y]=-b}});let d=t.slice(0);i.forEach((b,y)=>{d[b]=Math.ceil((a[b]-o[b])/n[b])});let p={dims:d,dataType:e[0].dataType},u=tt("output",e[0].dataType,d.length),h=$e("input",e[0].dataType,e[0].dims.length),w=xe.size(d),f=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:o.length},{name:"signs",type:"i32",length:l.length},{name:"steps",type:"u32",length:n.length}],P=[{type:12,data:w},{type:12,data:o},{type:6,data:l},{type:12,data:n},...nt(e[0].dims,d)],A=b=>`
-      ${b.registerUniforms(f).declareVariables(h,u)}
-        ${tw(h,u,t)}
-        ${b.mainStart()}
-          ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
-          let output_indices = ${u.offsetToIndices("global_idx")};
-          let input_indices = calculateInputIndices(output_indices);
-          ${u.setByOffset("global_idx",h.getByIndices("input_indices"))}
-      }`;return{name:"Slice",shaderCache:{hint:`${l.length}_${o.length}_${n.length}`,inputDependencies:["rank"]},getShaderSource:A,getRunData:()=>({outputs:[p],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:P})}},sw=(e,r)=>{Zg(e.inputs,r);let t=ew(e.inputs,r);e.compute(rw(e.inputs,t),{inputs:[0]})},nw=e=>{let r=e.starts,t=e.ends,s=e.axes;return Dt({starts:r,ends:t,axes:s})}}),iw,ow,aw,lw,Vv=Ue(()=>{pt(),Mt(),Yt(),Gs(),xt(),iw=e=>{if(!e||e.length!==1)throw new Error("Softmax op requires 1 input.")},ow=(e,r)=>{let t=e.inputs[0],s=t.dims,i=xe.size(s),n=s.length,o=xe.normalizeAxis(r.axis,n),a=o<s.length-1,l,d=[];a?(d=Array.from({length:n},(E,k)=>k),d[o]=n-1,d[n-1]=o,l=e.compute(Nr(t,d),{inputs:[t],outputs:[-1]})[0]):l=t;let p=l.dims,u=p[n-1],h=i/u,w=Xt(u),f=u/w,P=64;h===1&&(P=256);let A=(E,k)=>k===4?`max(max(${E}.x, ${E}.y), max(${E}.z, ${E}.w))`:k===2?`max(${E}.x, ${E}.y)`:k===3?`max(max(${E}.x, ${E}.y), ${E}.z)`:E,b=$e("x",l.dataType,l.dims,w),y=tt("result",l.dataType,l.dims,w),$=b.type.value,T=lr(l.dataType)==="f32"?`var threadMax = ${$}(-3.402823e+38f);`:`var threadMax = ${$}(-65504.0h);`,g=E=>`
-      var<workgroup> rowMaxShared : ${$};
-      var<workgroup> rowSumShared : ${$};
-      var<workgroup> threadShared : array<${$}, ${P}>;
-
-      fn getValue(row: i32, col: i32, row_stride: i32) -> ${$} {
-        let index = row * row_stride + col;
-        return x[index];
-      }
-
-      fn setValue(row: i32, col: i32, row_stride: i32, value: ${$}) {
-        let index = row * row_stride + col;
-        result[index] = value;
-      }
-      ${E.registerUniform("packedCols","i32").declareVariables(b,y)}
-      ${E.mainStart(P)}
-        let gindex = i32(global_idx);
-        let lindex = i32(local_idx);
-        const wg = ${P};
-        let row = gindex / wg;
-        let cols = uniforms.packedCols;
-        let row_stride : i32 = uniforms.packedCols;
-
-        // find the rows max
-        ${T}
-        for (var col = lindex; col < cols; col += wg) {
-          let value = getValue(row, col, row_stride);
-          threadMax = max(threadMax, value);
-        }
-        if (lindex < cols) {
-          threadShared[lindex] = threadMax;
-        }
-        workgroupBarrier();
-
-        var reduceSize = min(cols, wg);
-        for (var currSize = reduceSize >> 1;  currSize > 0; currSize = reduceSize >> 1) {
-          reduceSize = currSize + (reduceSize & 1);
-          if (lindex < currSize) {
-            threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]);
-          }
-          workgroupBarrier();
-        }
-        if (lindex == 0) {
-          rowMaxShared = ${$}(${A("threadShared[0]",w)});
-        }
-        workgroupBarrier();
-
-        // find the rows sum
-        var threadSum = ${$}(0.0);
-        for (var col = lindex; col < cols; col += wg) {
-          let subExp = exp(getValue(row, col, row_stride) - rowMaxShared);
-          threadSum += subExp;
-        }
-        threadShared[lindex] = threadSum;
-        workgroupBarrier();
-
-        for (var currSize = wg >> 1;  currSize > 0; currSize = currSize >> 1) {
-          if (lindex < currSize) {
-            threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize];
-          }
-          workgroupBarrier();
-        }
-        if (lindex == 0) {
-          rowSumShared = ${$}(${Ws("threadShared[0]",w)});
-        }
-        workgroupBarrier();
-
-        // calculate final value for each element in the row
-        for (var col = lindex; col < cols; col += wg) {
-          let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;
-          setValue(row, col, row_stride, value);
-        }
-      }`,M=e.compute({name:"Softmax",shaderCache:{hint:`${w};${P}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:p,dataType:l.dataType}],dispatchGroup:{x:h},programUniforms:[{type:6,data:f}]}),getShaderSource:g},{inputs:[l],outputs:[a?-1:0]})[0];a&&e.compute(Nr(M,d),{inputs:[M]})},aw=(e,r)=>{iw(e.inputs),ow(e,r)},lw=e=>Dt({axis:e.axis})}),Fc,dw,cw,uw,pw,Wv=Ue(()=>{pt(),Mt(),xt(),Fc=e=>Array.from(e.getBigInt64Array(),Number),dw=e=>{if(!e||e.length!==2)throw new Error("Tile requires 2 inputs.");if(e[0].dataType!==1&&e[0].dataType!==10&&e[0].dataType!==6&&e[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(e[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(e[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Fc(e[1]).length!==e[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},cw=(e,r)=>{let t=[];for(let s=0;s<e.length;++s)t.push(e[s]*r[s]);return t},uw=(e,r)=>{let t=e[0].dims,s=r??Fc(e[1]),i=cw(t,s),n=xe.size(i),o=e[0].dataType,a=$e("input",o,t.length),l=tt("output",o,i.length),d=p=>`
-      const inputShape = ${a.indices(...t)};
-      ${p.registerUniform("output_size","u32").declareVariables(a,l)}
-      ${p.mainStart()}
-      ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
-      let output_indices = ${l.offsetToIndices("global_idx")};
-      var input_indices: ${a.type.indices};
-      for (var i = 0; i < ${t.length}; i++) {
-        let input_dim_i = ${a.indicesGet("uniforms.input_shape","i")};
-        let input_dim_value = ${l.indicesGet("output_indices","i")}  % input_dim_i;
-
-        ${a.indicesSet("input_indices","i","input_dim_value")}
-      }
-      ${l.setByOffset("global_idx",a.getByIndices("input_indices"))}
-    }`;return{name:"Tile",shaderCache:{hint:`${s}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:[{type:12,data:n},...nt(e[0].dims,i)]}),getShaderSource:d}},pw=e=>{dw(e.inputs),e.compute(uw(e.inputs),{inputs:[0]})}}),hw,mw,_w,Gv=Ue(()=>{pt(),Mt(),xt(),hw=(e,r,t,s,i)=>{let n=tt("output_data",i,t.length,4),o=$e("a_data",r[1].dataType,r[1].dims.length,4),a=$e("b_data",r[2].dataType,r[2].dims.length,4),l=$e("c_data",r[0].dataType,r[0].dims.length,4),d,p=(u,h,w)=>`select(${h}, ${u}, ${w})`;if(!s)d=n.setByOffset("global_idx",p(o.getByOffset("global_idx"),a.getByOffset("global_idx"),l.getByOffset("global_idx")));else{let u=(h,w,f="")=>{let P=`a_data[index_a${w}][component_a${w}]`,A=`b_data[index_b${w}][component_b${w}]`,b=`bool(c_data[index_c${w}] & (0xffu << (component_c${w} * 8)))`;return`
-            let output_indices${w} = ${n.offsetToIndices(`global_idx * 4u + ${w}u`)};
-            let offset_a${w} = ${o.broadcastedIndicesToOffset(`output_indices${w}`,n)};
-            let offset_b${w} = ${a.broadcastedIndicesToOffset(`output_indices${w}`,n)};
-            let offset_c${w} = ${l.broadcastedIndicesToOffset(`output_indices${w}`,n)};
-            let index_a${w} = offset_a${w} / 4u;
-            let index_b${w} = offset_b${w} / 4u;
-            let index_c${w} = offset_c${w} / 4u;
-            let component_a${w} = offset_a${w} % 4u;
-            let component_b${w} = offset_b${w} % 4u;
-            let component_c${w} = offset_c${w} % 4u;
-            ${h}[${w}] = ${f}(${p(P,A,b)});
-          `};i===9?d=`
-            var data = vec4<u32>(0);
-            ${u("data",0,"u32")}
-            ${u("data",1,"u32")}
-            ${u("data",2,"u32")}
-            ${u("data",3,"u32")}
-            output_data[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:d=`
-            ${u("output_data[global_idx]",0)}
-            ${u("output_data[global_idx]",1)}
-            ${u("output_data[global_idx]",2)}
-            ${u("output_data[global_idx]",3)}
-          `}return`
-        ${e.registerUniform("vec_size","u32").declareVariables(l,o,a,n)}
-        ${e.mainStart()}
-        ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
-        ${d}
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e;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),e=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(e,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,e,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&e.mapAsync(GPUMapMode.READ).then(()=>{var s;let r=new BigUint64Array(e.getMappedRange()),t=this.pendingQueries.get(e);for(let i=0;i<r.length/2;i++){let n=t[i],o=n.kernelId,a=this.kernels.get(o),l=a.kernelType,d=a.kernelName,p=n.programName,u=n.inputTensorViews,h=n.outputTensorViews,w=r[i*2],f=r[i*2+1];typeof this.queryTimeBase>"u"&&(this.queryTimeBase=w);let 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f=this.programManager.normalizeDispatchGroupSize(l),P=f[1]===1&&f[2]===1,A=yw(e,r,P),b=this.programManager.getArtifact(A);if(b||(b=this.programManager.build(e,f),this.programManager.setArtifact(A,b),St("info",()=>`[artifact] key: ${A}, programName: ${e.name}`)),d&&b.uniformVariablesInfo){if(d.length!==b.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${b.uniformVariablesInfo.length}, got ${d.length} in program "${b.programInfo.name}".`);for(let y=0;y<d.length;y++){let $=d[y],T=$.type,g=typeof $.data=="number"?1:$.data.length,[M,E]=b.uniformVariablesInfo[y];if(T!==M||g!==E)throw new Error(`Uniform variable ${y} mismatch: expect type ${M} with size ${E}, got type ${T} with size ${g} in program "${b.programInfo.name}".`)}}if(St("info",()=>`[ProgramManager] run "${e.name}" (key=${A}) with ${f[0]}x${f[1]}x${f[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let 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created: ${e}`);let i=s.kernelType,n=s.kernelName,o=s.kernelEntry,a=s.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${i}] ${n}" is not allowed to be called recursively`);this.currentKernelId=e,a[0]&&(a[1]=a[0](a[1]),a[0]=void 0),St("info",()=>`[WebGPU] Start to run kernel "[${i}] ${n}"...`);let l=this.env.debug;this.temporaryData=[];try{return l&&this.device.pushErrorScope("validation"),o(r,a[1]),0}catch(d){return t.push(Promise.resolve(`[WebGPU] Kernel "[${i}] ${n}" failed. ${d}`)),1}finally{l&&t.push(this.device.popErrorScope().then(d=>d?`GPU validation error for kernel "[${i}] ${n}": ${d.message}`:null));for(let d of this.temporaryData)this.gpuDataManager.release(d.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(e,r,t,s){let i=this.sessionExternalDataMapping.get(e);i||(i=new Map,this.sessionExternalDataMapping.set(e,i));let n=i.get(r),o=this.gpuDataManager.registerExternalBuffer(t,s,n);return i.set(r,[o,t]),o}unregisterBuffers(e){let r=this.sessionExternalDataMapping.get(e);r&&(r.forEach(t=>this.gpuDataManager.unregisterExternalBuffer(t[0])),this.sessionExternalDataMapping.delete(e))}getBuffer(e){let r=this.gpuDataManager.get(e);if(!r)throw new Error(`no GPU data for buffer: ${e}`);return r.buffer}createDownloader(e,r,t){return async()=>{let s=await jd(this,e,r);return zd(s.buffer,t)}}writeTimestamp(e){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,e)}setQueryType(){var e;this.queryType="none",(((e=this.env.webgpu.profiling)==null?void 0:e.mode)==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){St("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){St("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){St("info","replay"),this.sessionStatus="replaying";let e=this.capturedCommandList.get(this.currentSessionId),r=this.capturedPendingKernels.get(this.currentSessionId),t=e.length;this.pendingKernels=[];for(let s=0;s<t;s++){let i=this.getComputePassEncoder(),n=e[s];this.writeTimestamp(this.pendingDispatchNumber*2),i.setPipeline(n.computePipeline),i.setBindGroup(0,n.bindGroup),i.dispatchWorkgroups(...n.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!=="none"&&this.pendingKernels.push(r[s]),(this.pendingDispatchNumber>=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onCreateSession(){this.gpuDataManager.onCreateSession()}onReleaseSession(e){this.unregisterBuffers(e),this.capturedCommandList.has(e)&&this.capturedCommandList.delete(e),this.capturedPendingKernels.has(e)&&this.capturedPendingKernels.delete(e),this.gpuDataManager.onReleaseSession(e)}onRunStart(e){this.currentSessionId=e,this.setQueryType()}}}),vw,Oc,xw,Dc,Lc,zc,Tw,Ew,Qv=Ue(()=>{ks(),vw=1,Oc=()=>vw++,xw=new 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this.mlContext===e&&this.dataType===r&&this.tensorShape.length===t.length&&this.tensorShape.every((s,i)=>s===t[i])}},zc=class{constructor(e,r){this.tensorManager=e,this.wrapper=r}get tensorWrapper(){return this.wrapper}releaseTensor(){this.tensorWrapper&&(this.tensorManager.releaseTensor(this.tensorWrapper),this.wrapper=void 0)}async ensureTensor(e,r,t,s){let i=this.tensorManager.getMLContext(e);if(this.wrapper){if(this.wrapper.canReuseTensor(i,r,t))return this.wrapper.tensor;if(s){if(this.wrapper.byteLength!==Dc(r,t))throw new Error("Unable to copy data to tensor with different size.");this.activeUpload=new Uint8Array(await this.wrapper.read())}this.tensorManager.releaseTensor(this.wrapper)}let n=typeof MLTensorUsage>"u"?void 0:MLTensorUsage.READ|MLTensorUsage.WRITE;return this.wrapper=await this.tensorManager.getCachedTensor(e,r,t,n,!0,!0),s&&this.activeUpload&&(this.wrapper.write(this.activeUpload),this.activeUpload=void 0),this.wrapper.tensor}upload(e){if(this.wrapper)if(e.byteLength===this.wrapper.byteLength){this.wrapper.write(e);return}else St("verbose",()=>"Data size does not match tensor size. Releasing tensor."),this.releaseTensor();this.activeUpload?this.activeUpload.set(e):this.activeUpload=new Uint8Array(e)}async download(e){if(this.activeUpload)if(e){e instanceof ArrayBuffer?new Uint8Array(e).set(this.activeUpload):new Uint8Array(e.buffer,e.byteOffset,e.byteLength).set(this.activeUpload);return}else return this.activeUpload.buffer;if(!this.wrapper)throw new Error("Tensor has not been created.");return e?this.wrapper.read(e):this.wrapper.read()}},Tw=class{constructor(e){this.backend=e,this.tensorTrackersById=new Map,this.freeTensors=[],this.externalTensors=new Set}getMLContext(e){let r=this.backend.getMLContext(e);if(!r)throw new Error("MLContext not found for session.");return r}reserveTensorId(){let e=Oc();return this.tensorTrackersById.set(e,new zc(this)),e}releaseTensorId(e){let r=this.tensorTrackersById.get(e);r&&(this.tensorTrackersById.delete(e),r.tensorWrapper&&this.releaseTensor(r.tensorWrapper))}async ensureTensor(e,r,t,s,i){St("verbose",()=>`[WebNN] TensorManager.ensureTensor {tensorId: ${r}, dataType: ${t}, shape: ${s}, copyOld: ${i}}`);let n=this.tensorTrackersById.get(r);if(!n)throw new Error("Tensor not found.");return n.ensureTensor(e,t,s,i)}upload(e,r){let t=this.tensorTrackersById.get(e);if(!t)throw new Error("Tensor not found.");t.upload(r)}async download(e,r){St("verbose",()=>`[WebNN] TensorManager.download {tensorId: ${e}, dstBuffer: ${r==null?void 0:r.byteLength}}`);let t=this.tensorTrackersById.get(e);if(!t)throw new Error("Tensor not found.");return t.download(r)}releaseTensorsForSession(e){for(let r of this.freeTensors)r.sessionId===e&&r.destroy();this.freeTensors=this.freeTensors.filter(r=>r.sessionId!==e)}registerTensor(e,r,t,s){let i=this.getMLContext(e),n=Oc(),o=new Lc({sessionId:e,context:i,tensor:r,dataType:t,shape:s});return this.tensorTrackersById.set(n,new zc(this,o)),this.externalTensors.add(o),n}async getCachedTensor(e,r,t,s,i,n){let o=this.getMLContext(e);for(let[l,d]of this.freeTensors.entries())if(d.canReuseTensor(o,r,t)){St("verbose",()=>`[WebNN] Reusing tensor {dataType: ${r}, shape: ${t}}`);let p=this.freeTensors.splice(l,1)[0];return p.sessionId=e,p}St("verbose",()=>`[WebNN] MLContext.createTensor {dataType: ${r}, shape: ${t}}`);let a=await o.createTensor({dataType:r,shape:t,dimensions:t,usage:s,writable:i,readable:n});return new Lc({sessionId:e,context:o,tensor:a,dataType:r,shape:t})}releaseTensor(e){this.externalTensors.has(e)&&this.externalTensors.delete(e),this.freeTensors.push(e)}},Ew=(...e)=>new Tw(...e)}),Ia,Pw,Cw,Xv=Ue(()=>{pt(),hn(),Cp(),Qv(),ks(),Ia=new Map([[1,"float32"],[10,"float16"],[6,"int32"],[12,"uint32"],[7,"int64"],[13,"uint64"],[22,"int4"],[21,"uint4"],[3,"int8"],[2,"uint8"],[9,"uint8"]]),Pw=(e,r)=>{if(e===r)return!0;if(e===void 0||r===void 0)return!1;let t=Object.keys(e).sort(),s=Object.keys(r).sort();return t.length===s.length&&t.every((i,n)=>i===s[n]&&e[i]===r[i])},Cw=class{constructor(e){this.tensorManager=Ew(this),this.mlContextBySessionId=new Map,this.sessionIdsByMLContext=new Map,this.mlContextCache=[],this.sessionGraphInputs=new Map,this.temporaryGraphInputs=[],this.temporarySessionTensorIds=new Map,Ld(e.logLevel,!!e.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw new Error("No active session");return this.activeSessionId}onRunStart(e){St("verbose",()=>`[WebNN] onRunStart {sessionId: ${e}}`),this.activeSessionId=e}onRunEnd(e){St("verbose",()=>`[WebNN] onRunEnd {sessionId: ${e}}`);let r=this.temporarySessionTensorIds.get(e);if(r){for(let t of r)St("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${t}}`),this.tensorManager.releaseTensorId(t);this.temporarySessionTensorIds.delete(e),this.activeSessionId=void 0}}async createMLContext(e){if(e instanceof GPUDevice){let t=this.mlContextCache.findIndex(s=>s.gpuDevice===e);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext(e);return this.mlContextCache.push({gpuDevice:e,mlContext:s}),s}}else if(e===void 0){let t=this.mlContextCache.findIndex(s=>s.options===void 0&&s.gpuDevice===void 0);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:s}),s}}let r=this.mlContextCache.findIndex(t=>Pw(t.options,e));if(r!==-1)return this.mlContextCache[r].mlContext;{let t=await navigator.ml.createContext(e);return this.mlContextCache.push({options:e,mlContext:t}),t}}registerMLContext(e,r){this.mlContextBySessionId.set(e,r);let t=this.sessionIdsByMLContext.get(r);t||(t=new Set,this.sessionIdsByMLContext.set(r,t)),t.add(e),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(e,this.temporaryGraphInputs),this.temporaryGraphInputs=[])}onReleaseSession(e){this.sessionGraphInputs.delete(e);let r=this.mlContextBySessionId.get(e);if(!r)return;this.tensorManager.releaseTensorsForSession(e),this.mlContextBySessionId.delete(e);let t=this.sessionIdsByMLContext.get(r);if(t.delete(e),t.size===0){this.sessionIdsByMLContext.delete(r);let s=this.mlContextCache.findIndex(i=>i.mlContext===r);s!==-1&&this.mlContextCache.splice(s,1)}}getMLContext(e){return this.mlContextBySessionId.get(e)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(e){St("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${e}}`),this.tensorManager.releaseTensorId(e)}async ensureTensor(e,r,t,s,i){let n=Ia.get(t);if(!n)throw new Error(`Unsupported ONNX data type: ${t}`);return this.tensorManager.ensureTensor(e??this.currentSessionId,r,n,s,i)}async createTemporaryTensor(e,r,t){St("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${r}, shape: ${t}}`);let s=Ia.get(r);if(!s)throw new Error(`Unsupported ONNX data type: ${r}`);let i=this.tensorManager.reserveTensorId();await this.tensorManager.ensureTensor(e,i,s,t,!1);let n=this.temporarySessionTensorIds.get(e);return n?n.push(i):this.temporarySessionTensorIds.set(e,[i]),i}uploadTensor(e,r){if(!ar().shouldTransferToMLTensor)throw new Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false");St("verbose",()=>`[WebNN] uploadTensor {tensorId: ${e}, data: ${r.byteLength}}`),this.tensorManager.upload(e,r)}async downloadTensor(e,r){return this.tensorManager.download(e,r)}createMLTensorDownloader(e,r){return async()=>{let t=await this.tensorManager.download(e);return zd(t,r)}}registerMLTensor(e,r,t,s){let i=Ia.get(t);if(!i)throw new Error(`Unsupported ONNX data type: ${t}`);let n=this.tensorManager.registerTensor(e,r,i,s);return St("verbose",()=>`[WebNN] registerMLTensor {tensor: ${r}, dataType: ${i}, dimensions: ${s}} -> {tensorId: ${n}}`),n}registerMLConstant(e,r,t,s,i,n){if(!n)throw new Error("External mounted files are not available.");let o=e;e.startsWith("./")&&(o=e.substring(2));let a=n.get(o);if(!a)throw new Error(`File with name ${o} not found in preloaded files.`);if(r+t>a.byteLength)throw new Error("Out of bounds: data offset and length exceed the external file data size.");let l=a.slice(r,r+t).buffer,d;switch(i.dataType){case"float32":d=new Float32Array(l);break;case"float16":d=typeof Float16Array<"u"&&Float16Array.from?new Float16Array(l):new Uint16Array(l);break;case"int32":d=new Int32Array(l);break;case"uint32":d=new Uint32Array(l);break;case"int64":d=new BigInt64Array(l);break;case"uint64":d=new BigUint64Array(l);break;case"int8":d=new Int8Array(l);break;case"int4":case"uint4":case"uint8":d=new Uint8Array(l);break;default:throw new Error(`Unsupported data type: ${i.dataType} in creating WebNN Constant from external data.`)}return St("verbose",()=>`[WebNN] registerMLConstant {dataType: ${i.dataType}, shape: ${i.shape}}}`),s.constant(i,d)}registerGraphInput(e){this.temporaryGraphInputs.push(e)}isGraphInput(e,r){let t=this.sessionGraphInputs.get(e);return t?t.includes(r):!1}flush(){}}}),Sw={};Ci(Sw,{init:()=>kw});var Aa,$w,kw,Jv=Ue(()=>{pt(),qv(),ks(),Mt(),Xv(),Aa=class yb{constructor(r,t,s,i){this.module=r,this.dataType=t,this.data=s,this.dims=i}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,r)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,r)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,r)}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw new Error("Invalid data type");let r=xe.size(this.dims);return r===0?new Uint16Array:new Uint16Array(this.module.HEAP8.buffer,this.data,r)}reshape(r){if(xe.size(r)!==xe.size(this.dims))throw new Error("Invalid new shape");return new yb(this.module,this.dataType,this.data,r)}},$w=class{constructor(e,r,t){this.module=e,this.backend=r,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=r.adapterInfo;let s=e.PTR_SIZE,i=t/e.PTR_SIZE,n=s===4?"i32":"i64";this.opKernelContext=Number(e.getValue(s*i++,n));let o=Number(e.getValue(s*i++,n));this.outputCount=Number(e.getValue(s*i++,n)),this.customDataOffset=Number(e.getValue(s*i++,"*")),this.customDataSize=Number(e.getValue(s*i++,n));let a=[];for(let l=0;l<o;l++){let d=Number(e.getValue(s*i++,n)),p=Number(e.getValue(s*i++,"*")),u=Number(e.getValue(s*i++,n)),h=[];for(let w=0;w<u;w++)h.push(Number(e.getValue(s*i++,n)));a.push(new Aa(e,d,p,h))}this.inputs=a}get kernelCustomData(){return this.backend.currentKernelCustomData}get customDataBuffer(){return this.module.HEAPU8.subarray(this.customDataOffset,this.customDataOffset+this.customDataSize)}compute(e,r){var o;let t=((o=r==null?void 0:r.inputs)==null?void 0:o.map(a=>typeof a=="number"?this.inputs[a]:a))??this.inputs,s=(r==null?void 0:r.outputs)??[],i=(a,l,d)=>new Aa(this.module,l,this.output(a,d),d),n=(a,l)=>{let d=_n(a,l);if(!d)throw new Error(`Unsupported data type: ${a}`);let p=d>0?this.backend.gpuDataManager.create(d).id:0;return new Aa(this.module,a,p,l)};return this.backend.run(e,t,s,i,n,this.outputCount)}output(e,r){let t=this.module.stackSave();try{let s=this.module.PTR_SIZE,i=s===4?"i32":"i64",n=this.module.stackAlloc((1+r.length)*s);this.module.setValue(n,r.length,i);for(let o=0;o<r.length;o++)this.module.setValue(n+s*(o+1),r[o],i);return this.module._JsepOutput(this.opKernelContext,e,n)}catch(s){throw new Error(`Failed to generate kernel's output[${e}] with dims [${r}]. If you are running with pre-allocated output, please make sure the output type/dims are correct. Error: ${s}`)}finally{this.module.stackRestore(t)}}},kw=async(e,r,t,s)=>{let i=r.jsepInit;if(!i)throw new Error("Failed to initialize JSEP. 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It must be a GPUAdapter object.")}else{let i=e.webgpu.powerPreference;if(i!==void 0&&i!=="low-power"&&i!=="high-performance")throw new Error(`Invalid powerPreference setting: "${i}"`);let n=e.webgpu.forceFallbackAdapter;if(n!==void 0&&typeof n!="boolean")throw new Error(`Invalid forceFallbackAdapter setting: "${n}"`);if(s=await navigator.gpu.requestAdapter({powerPreference:i,forceFallbackAdapter:n}),!s)throw new Error('Failed to get GPU adapter. 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Only 'gpu-buffer' location is supported when enableGraphCapture is true.`);$.push(k)}}let T=null;return $.some(g=>g==="gpu-buffer"||g==="ml-tensor")&&(a=i._OrtCreateBinding(n),a===0&&At("Can't create IO binding."),T={handle:a,outputPreferredLocations:$,outputPreferredLocationsEncoded:$.map(g=>Od(g))}),Ks.set(n,[n,d,p,T,A,!1]),[n,b,y]}catch(f){throw d.forEach(P=>i._OrtFree(P)),p.forEach(P=>i._OrtFree(P)),a!==0&&i._OrtReleaseBinding(a)!==0&&At("Can't release IO binding."),n!==0&&i._OrtReleaseSession(n)!==0&&At("Can't release session."),f}finally{i._free(t),o!==0&&i._OrtReleaseSessionOptions(o)!==0&&At("Can't release session options."),l.forEach(f=>i._free(f)),(w=i.unmountExternalData)==null||w.call(i)}},jc=e=>{var l;let r=ar(),t=Ks.get(e);if(!t)throw new Error(`cannot release session. invalid session id: ${e}`);let[s,i,n,o,a]=t;o&&(a&&r._OrtClearBoundOutputs(o.handle)!==0&&At("Can't clear bound outputs."),r._OrtReleaseBinding(o.handle)!==0&&At("Can't release IO 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Vt.wasm.proxy!="boolean"&&(Vt.wasm.proxy=!1),typeof Vt.wasm.trace!="boolean"&&(Vt.wasm.trace=!1),typeof Vt.wasm.numThreads!="number"||!Number.isInteger(Vt.wasm.numThreads)||Vt.wasm.numThreads<=0)if(typeof self<"u"&&!self.crossOriginIsolated)Vt.wasm.numThreads=1;else{let e=typeof navigator>"u"?Bb("node:os").cpus().length:navigator.hardwareConcurrency;Vt.wasm.numThreads=Math.min(4,Math.ceil((e||1)/2))}},Qc=class{async init(e){qc(),await Dw(),await Lw(e)}async createInferenceSessionHandler(e,r){let t=new Ww;return await t.loadModel(e,r),Promise.resolve(t)}},Kw=new Qc});ss(),ss(),ss();var ex="1.22.0-dev.20250306-ccf8fdd9ea",tx=ep;{let e=(Zv(),ma(Gw)).wasmBackend;un("webgpu",e,5),un("webnn",e,5),un("cpu",e,10),un("wasm",e,10)}Object.defineProperty(Vt.versions,"web",{value:ex,enumerable:!0});/**
-* @license
-* Copyright 2021 Google LLC. All Rights Reserved.
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-* http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-* =============================================================================
-*//**
- * @license
- * Copyright 2020 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- *//**
- * @license
- * Copyright 2019 Google LLC. All Rights Reserved.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- * =============================================================================
- */var rx=Object.freeze({__proto__:null,get InferenceSession(){return _d},get TRACE(){return ki},get TRACE_FUNC_BEGIN(){return rs},get TRACE_FUNC_END(){return Hr},get Tensor(){return ts},default:tx,get env(){return Vt},get registerBackend(){return un}}),As={},sx={"onnxruntime-common":e=>{e.exports=Ob},"onnxruntime-web":e=>{e.exports=rx},"?2ce3":()=>{},"?7a2c":()=>{},"?a42a":()=>{},"?2b25":()=>{},"?569f":()=>{},"?3f59":()=>{},"?154a":()=>{},"./node_modules/@huggingface/jinja/dist/index.js":(e,r,t)=>{t.r(r),t.d(r,{Environment:()=>Ae,Interpreter:()=>Ie,Template:()=>Ve,parse:()=>R,tokenize:()=>u});var s=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",BooleanLiteral:"BooleanLiteral",NullLiteral:"NullLiteral",StringLiteral:"StringLiteral",Identifier:"Identifier",Equals:"Equals",OpenParen:"OpenParen",CloseParen:"CloseParen",OpenStatement:"OpenStatement",CloseStatement:"CloseStatement",OpenExpression:"OpenExpression",CloseExpression:"CloseExpression",OpenSquareBracket:"OpenSquareBracket",CloseSquareBracket:"CloseSquareBracket",OpenCurlyBracket:"OpenCurlyBracket",CloseCurlyBracket:"CloseCurlyBracket",Comma:"Comma",Dot:"Dot",Colon:"Colon",Pipe:"Pipe",CallOperator:"CallOperator",AdditiveBinaryOperator:"AdditiveBinaryOperator",MultiplicativeBinaryOperator:"MultiplicativeBinaryOperator",ComparisonBinaryOperator:"ComparisonBinaryOperator",UnaryOperator:"UnaryOperator",Set:"Set",If:"If",For:"For",In:"In",Is:"Is",NotIn:"NotIn",Else:"Else",EndIf:"EndIf",ElseIf:"ElseIf",EndFor:"EndFor",And:"And",Or:"Or",Not:"UnaryOperator",Macro:"Macro",EndMacro:"EndMacro"}),i=Object.freeze({set:s.Set,for:s.For,in:s.In,is:s.Is,if:s.If,else:s.Else,endif:s.EndIf,elif:s.ElseIf,endfor:s.EndFor,and:s.And,or:s.Or,not:s.Not,"not in":s.NotIn,macro:s.Macro,endmacro:s.EndMacro,true:s.BooleanLiteral,false:s.BooleanLiteral,none:s.NullLiteral,True:s.BooleanLiteral,False:s.BooleanLiteral,None:s.NullLiteral}),n=class{constructor(D,Z){this.value=D,this.type=Z}};function o(D){return/\w/.test(D)}function a(D){return/[0-9]/.test(D)}var l=[["{%",s.OpenStatement],["%}",s.CloseStatement],["{{",s.OpenExpression],["}}",s.CloseExpression],["(",s.OpenParen],[")",s.CloseParen],["{",s.OpenCurlyBracket],["}",s.CloseCurlyBracket],["[",s.OpenSquareBracket],["]",s.CloseSquareBracket],[",",s.Comma],[".",s.Dot],[":",s.Colon],["|",s.Pipe],["<=",s.ComparisonBinaryOperator],[">=",s.ComparisonBinaryOperator],["==",s.ComparisonBinaryOperator],["!=",s.ComparisonBinaryOperator],["<",s.ComparisonBinaryOperator],[">",s.ComparisonBinaryOperator],["+",s.AdditiveBinaryOperator],["-",s.AdditiveBinaryOperator],["*",s.MultiplicativeBinaryOperator],["/",s.MultiplicativeBinaryOperator],["%",s.MultiplicativeBinaryOperator],["=",s.Equals]],d=new Map([["n",`
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M.resize(Y,V,{resample:k}))}async crop_margin(M,E=200){const k=M.clone().grayscale(),B=(0,n.min)(k.data)[0],J=(0,n.max)(k.data)[0]-B;if(J===0)return M;const q=E/255;let V=k.width,Y=k.height,H=0,Q=0;const ie=k.data;for(let le=0;le<k.height;++le){const ae=le*k.width;for(let we=0;we<k.width;++we)(ie[ae+we]-B)/J<q&&(V=Math.min(V,we),Y=Math.min(Y,le),H=Math.max(H,we),Q=Math.max(Q,le))}return M=await M.crop([V,Y,H,Q]),M}pad_image(M,E,k,{mode:B="constant",center:N=!1,constant_values:J=0}={}){const[q,V,Y]=E;let H,Q;if(typeof k=="number"?(H=k,Q=k):k==="square"?H=Q=Math.max(q,V):(H=k.width,Q=k.height),H!==V||Q!==q){const ie=new Float32Array(H*Q*Y);if(Array.isArray(J))for(let we=0;we<ie.length;++we)ie[we]=J[we%Y];else J!==0&&ie.fill(J);const[le,ae]=N?[Math.floor((H-V)/2),Math.floor((Q-q)/2)]:[0,0];for(let we=0;we<q;++we){const R=(we+ae)*H,O=we*V;for(let G=0;G<V;++G){const ne=(R+G+le)*Y,X=(O+G)*Y;for(let ye=0;ye<Y;++ye)ie[ne+ye]=M[X+ye]}}if(B==="symmetric"){if(N)throw new Error("`center` padding 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q=E.width,V=E.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let Y=V/B,H=q/k;Math.abs(1-H)<Math.abs(1-Y)?Y=H:H=Y,V=d(Y*B,this.config.ensure_multiple_of),q=d(H*k,this.config.ensure_multiple_of)}return[q,V]}else{if(this.size_divisibility!==void 0)return p([k,B],this.size_divisibility);if(E.min_pixels!==void 0&&E.max_pixels!==void 0){const{min_pixels:q,max_pixels:V}=E,Y=this.config.patch_size*this.config.merge_size;return b(B,k,Y,q,V)}else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(E)}`)}}async resize(M){const[E,k]=this.get_resize_output_image_size(M,this.size);return await M.resize(E,k,{resample:this.resample})}async preprocess(M,{do_normalize:E=null,do_pad:k=null,do_convert_rgb:B=null,do_convert_grayscale:N=null,do_flip_channel_order:J=null}={}){this.do_crop_margin&&(M=await this.crop_margin(M));const[q,V]=M.size;if(B??this.do_convert_rgb?M=M.rgb():N&&(M=M.grayscale()),this.do_resize&&(M=await this.resize(M)),this.do_thumbnail&&(M=await this.thumbnail(M,this.size,this.resample)),this.do_center_crop){let le,ae;Number.isInteger(this.crop_size)?(le=this.crop_size,ae=this.crop_size):(le=this.crop_size.width,ae=this.crop_size.height),M=await M.center_crop(le,ae)}const Y=[M.height,M.width];let H=Float32Array.from(M.data),Q=[M.height,M.width,M.channels];if(this.do_rescale&&this.rescale(H),E??this.do_normalize){let le=this.image_mean;Array.isArray(this.image_mean)||(le=new Array(M.channels).fill(le));let ae=this.image_std;if(Array.isArray(this.image_std)||(ae=new Array(M.channels).fill(le)),le.length!==M.channels||ae.length!==M.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${le.length}) and \`image_std\` (${ae.length}) must match the number of channels in the image (${M.channels}).`);for(let we=0;we<H.length;we+=M.channels)for(let R=0;R<M.channels;++R)H[we+R]=(H[we+R]-le[R])/ae[R]}if(k??this.do_pad){if(this.pad_size)[H,Q]=this.pad_image(H,[M.height,M.width,M.channels],this.pad_size);else if(this.size_divisibility){const[le,ae]=p([Q[1],Q[0]],this.size_divisibility);[H,Q]=this.pad_image(H,Q,{width:le,height:ae})}}if(J??this.do_flip_channel_order){if(Q[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let le=0;le<H.length;le+=3){const ae=H[le];H[le]=H[le+2],H[le+2]=ae}}const ie=new i.Tensor("float32",H,Q).permute(2,0,1);return{original_size:[V,q],reshaped_input_size:Y,pixel_values:ie}}async _call(M,...E){Array.isArray(M)||(M=[M]);const k=await Promise.all(M.map(N=>this.preprocess(N)));return{pixel_values:(0,i.stack)(k.map(N=>N.pixel_values),0),original_sizes:k.map(N=>N.original_size),reshaped_input_sizes:k.map(N=>N.reshaped_input_size)}}static async from_pretrained(M,E){const k=await(0,a.getModelJSON)(M,l.IMAGE_PROCESSOR_NAME,!0,E);return new this(k)}}},"./src/base/processing_utils.js":(e,r,t)=>{t.r(r),t.d(r,{Processor:()=>o});var s=t("./src/utils/constants.js"),i=t("./src/utils/generic.js"),n=t("./src/utils/hub.js");class o extends i.Callable{constructor(l,d){super(),this.config=l,this.components=d}get image_processor(){return this.components.image_processor}get tokenizer(){return this.components.tokenizer}get feature_extractor(){return this.components.feature_extractor}apply_chat_template(l,d={}){if(!this.tokenizer)throw new Error("Unable to apply chat template without a tokenizer.");return this.tokenizer.apply_chat_template(l,{tokenize:!1,...d})}batch_decode(...l){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.batch_decode(...l)}decode(...l){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.decode(...l)}async _call(l,...d){for(const p of[this.image_processor,this.feature_extractor,this.tokenizer])if(p)return p(l,...d);throw new Error("No image processor, feature extractor, or tokenizer found.")}static async from_pretrained(l,d){const[p,u]=await Promise.all([this.uses_processor_config?(0,n.getModelJSON)(l,s.PROCESSOR_NAME,!0,d):{},Promise.all(this.classes.filter(h=>h in this).map(async h=>{const w=await this[h].from_pretrained(l,d);return[h.replace(/_class$/,""),w]})).then(Object.fromEntries)]);return new this(p,u)}}re(o,"classes",["image_processor_class","tokenizer_class","feature_extractor_class"]),re(o,"uses_processor_config",!1)},"./src/configs.js":(e,r,t)=>{t.r(r),t.d(r,{AutoConfig:()=>d,PretrainedConfig:()=>l,getKeyValueShapes:()=>a});var s=t("./src/utils/core.js"),i=t("./src/utils/hub.js");async function n(p,u){return await(0,i.getModelJSON)(p,"config.json",!0,u)}function o(p){const u={};let h={};switch(p.model_type){case"llava":case"paligemma":case"gemma3":case"florence2":case"llava_onevision":case"idefics3":case"ultravox":case"smolvlm":h=o(p.text_config);break;case"moondream1":h=o(p.phi_config);break;case"musicgen":h=o(p.decoder);break;case"multi_modality":h=o(p.language_config);break;case"gpt2":case"gptj":case"jais":case"codegen":case"gpt_bigcode":u.num_heads="n_head",u.num_layers="n_layer",u.hidden_size="n_embd";break;case"gpt_neox":case"stablelm":case"opt":case"falcon":u.num_heads="num_attention_heads",u.num_layers="num_hidden_layers",u.hidden_size="hidden_size";break;case"llama":case"olmo":case"olmo2":case"mobilellm":case"granite":case"cohere":case"mistral":case"starcoder2":case"qwen2":case"qwen2_vl":case"phi":case"phi3":case"phi3_v":u.num_heads="num_key_value_heads",u.num_layers="num_hidden_layers",u.hidden_size="hidden_size",u.num_attention_heads="num_attention_heads";break;case"gemma":case"gemma2":case"gemma3_text":case"glm":case"helium":u.num_heads="num_key_value_heads",u.num_layers="num_hidden_layers",u.dim_kv="head_dim";break;case"openelm":u.num_heads="num_kv_heads",u.num_layers="num_transformer_layers",u.dim_kv="head_dim";break;case"gpt_neo":case"donut-swin":u.num_heads="num_heads",u.num_layers="num_layers",u.hidden_size="hidden_size";break;case"bloom":u.num_heads="n_head",u.num_layers="n_layer",u.hidden_size="hidden_size";break;case"mpt":u.num_heads="n_heads",u.num_layers="n_layers",u.hidden_size="d_model";break;case"exaone":u.num_heads="num_key_value_heads",u.num_layers="num_layers",u.dim_kv="head_dim",u.num_attention_heads="num_attention_heads";break;case"t5":case"mt5":case"longt5":u.num_decoder_layers="num_decoder_layers",u.num_decoder_heads="num_heads",u.decoder_dim_kv="d_kv",u.num_encoder_layers="num_layers",u.num_encoder_heads="num_heads",u.encoder_dim_kv="d_kv";break;case"bart":case"mbart":case"marian":case"whisper":case"lite-whisper":case"m2m_100":case"blenderbot":case"blenderbot-small":case"florence2_language":u.num_decoder_layers="decoder_layers",u.num_decoder_heads="decoder_attention_heads",u.decoder_hidden_size="d_model",u.num_encoder_layers="encoder_layers",u.num_encoder_heads="encoder_attention_heads",u.encoder_hidden_size="d_model";break;case"speecht5":u.num_decoder_layers="decoder_layers",u.num_decoder_heads="decoder_attention_heads",u.decoder_hidden_size="hidden_size",u.num_encoder_layers="encoder_layers",u.num_encoder_heads="encoder_attention_heads",u.encoder_hidden_size="hidden_size";break;case"trocr":u.num_encoder_layers=u.num_decoder_layers="decoder_layers",u.num_encoder_heads=u.num_decoder_heads="decoder_attention_heads",u.encoder_hidden_size=u.decoder_hidden_size="d_model";break;case"musicgen_decoder":u.num_encoder_layers=u.num_decoder_layers="num_hidden_layers",u.num_encoder_heads=u.num_decoder_heads="num_attention_heads",u.encoder_hidden_size=u.decoder_hidden_size="hidden_size";break;case"moonshine":u.num_decoder_layers="decoder_num_hidden_layers",u.num_decoder_heads="decoder_num_key_value_heads",u.num_encoder_layers="encoder_num_hidden_layers",u.num_encoder_heads="encoder_num_key_value_heads",u.encoder_hidden_size=u.decoder_hidden_size="hidden_size";break;case"vision-encoder-decoder":const f=o(p.decoder),P="num_decoder_layers"in f,A=(0,s.pick)(p,["model_type","is_encoder_decoder"]);return P?(A.num_decoder_layers=f.num_decoder_layers,A.num_decoder_heads=f.num_decoder_heads,A.decoder_hidden_size=f.decoder_hidden_size,A.num_encoder_layers=f.num_encoder_layers,A.num_encoder_heads=f.num_encoder_heads,A.encoder_hidden_size=f.encoder_hidden_size):(A.num_layers=f.num_layers,A.num_heads=f.num_heads,A.hidden_size=f.hidden_size),A}const w={...h,...(0,s.pick)(p,["model_type","multi_query","is_encoder_decoder"])};for(const f in u)w[f]=p[u[f]];return w}function a(p,{prefix:u="past_key_values",batch_size:h=1}={}){const w={},f=p.normalized_config;if(f.is_encoder_decoder&&"num_encoder_heads"in f&&"num_decoder_heads"in f){const P=f.encoder_dim_kv??f.encoder_hidden_size/f.num_encoder_heads,A=f.decoder_dim_kv??f.decoder_hidden_size/f.num_decoder_heads,b=[h,f.num_encoder_heads,0,P],y=[h,f.num_decoder_heads,0,A];for(let $=0;$<f.num_decoder_layers;++$)w[`${u}.${$}.encoder.key`]=b,w[`${u}.${$}.encoder.value`]=b,w[`${u}.${$}.decoder.key`]=y,w[`${u}.${$}.decoder.value`]=y}else{const P=f.num_heads,A=f.num_layers,b=f.dim_kv??f.hidden_size/(f.num_attention_heads??P);if(f.model_type==="falcon"){const y=[h*P,0,b];for(let $=0;$<A;++$)w[`${u}.${$}.key`]=y,w[`${u}.${$}.value`]=y}else if(f.multi_query){const y=[h*P,0,2*b];for(let $=0;$<A;++$)w[`${u}.${$}.key_value`]=y}else if(f.model_type==="bloom"){const y=[h*P,b,0],$=[h*P,0,b];for(let T=0;T<A;++T)w[`${u}.${T}.key`]=y,w[`${u}.${T}.value`]=$}else if(f.model_type==="openelm")for(let y=0;y<A;++y){const $=[h,P[y],0,b];w[`${u}.${y}.key`]=$,w[`${u}.${y}.value`]=$}else{const y=[h,P,0,b];for(let $=0;$<A;++$)w[`${u}.${$}.key`]=y,w[`${u}.${$}.value`]=y}}return w}class l{constructor(u){re(this,"model_type",null);re(this,"is_encoder_decoder",!1);re(this,"max_position_embeddings");re(this,"transformers.js_config");Object.assign(this,u),this.normalized_config=o(this)}static async from_pretrained(u,{progress_callback:h=null,config:w=null,cache_dir:f=null,local_files_only:P=!1,revision:A="main"}={}){w&&!(w instanceof l)&&(w=new l(w));const b=w??await n(u,{progress_callback:h,config:w,cache_dir:f,local_files_only:P,revision:A});return new this(b)}}class d{static async from_pretrained(...u){return l.from_pretrained(...u)}}},"./src/env.js":(e,r,t)=>{var k,B;t.r(r),t.d(r,{apis:()=>A,env:()=>M});var s=t("?569f"),i=t("?3f59"),n=t("?154a");const o="3.4.1",a=typeof window<"u"&&typeof window.document<"u",l=typeof self<"u"&&((k=self.constructor)==null?void 0:k.name)==="DedicatedWorkerGlobalScope",d=typeof self<"u"&&"caches"in self,p=typeof navigator<"u"&&"gpu"in navigator,u=typeof navigator<"u"&&"ml"in navigator,h=typeof process<"u",w=h&&((B=process==null?void 0:process.release)==null?void 0:B.name)==="node",f=!E(s),P=!E(i),A=Object.freeze({IS_BROWSER_ENV:a,IS_WEBWORKER_ENV:l,IS_WEB_CACHE_AVAILABLE:d,IS_WEBGPU_AVAILABLE:p,IS_WEBNN_AVAILABLE:u,IS_PROCESS_AVAILABLE:h,IS_NODE_ENV:w,IS_FS_AVAILABLE:f,IS_PATH_AVAILABLE:P}),b=f&&P;let y="./";if(b){const N=Object({url:self.location.href}).url;N?y=i.dirname(i.dirname(n.fileURLToPath(N))):typeof __dirname<"u"&&(y=i.dirname(__dirname))}const $=b?i.join(y,"/.cache/"):null,T="/models/",g=b?i.join(y,T):T,M={version:o,backends:{onnx:{}},allowRemoteModels:!0,remoteHost:"https://huggingface.co/",remotePathTemplate:"{model}/resolve/{revision}/",allowLocalModels:!(a||l),localModelPath:g,useFS:f,useBrowserCache:d,useFSCache:f,cacheDir:$,useCustomCache:!1,customCache:null};function E(N){return Object.keys(N).length===0}},"./src/generation/configuration_utils.js":(e,r,t)=>{t.r(r),t.d(r,{GenerationConfig:()=>i});var s=t("./src/utils/core.js");class i{constructor(o){re(this,"max_length",20);re(this,"max_new_tokens",null);re(this,"min_length",0);re(this,"min_new_tokens",null);re(this,"early_stopping",!1);re(this,"max_time",null);re(this,"do_sample",!1);re(this,"num_beams",1);re(this,"num_beam_groups",1);re(this,"penalty_alpha",null);re(this,"use_cache",!0);re(this,"temperature",1);re(this,"top_k",50);re(this,"top_p",1);re(this,"typical_p",1);re(this,"epsilon_cutoff",0);re(this,"eta_cutoff",0);re(this,"diversity_penalty",0);re(this,"repetition_penalty",1);re(this,"encoder_repetition_penalty",1);re(this,"length_penalty",1);re(this,"no_repeat_ngram_size",0);re(this,"bad_words_ids",null);re(this,"force_words_ids",null);re(this,"renormalize_logits",!1);re(this,"constraints",null);re(this,"forced_bos_token_id",null);re(this,"forced_eos_token_id",null);re(this,"remove_invalid_values",!1);re(this,"exponential_decay_length_penalty",null);re(this,"suppress_tokens",null);re(this,"streamer",null);re(this,"begin_suppress_tokens",null);re(this,"forced_decoder_ids",null);re(this,"guidance_scale",null);re(this,"num_return_sequences",1);re(this,"output_attentions",!1);re(this,"output_hidden_states",!1);re(this,"output_scores",!1);re(this,"return_dict_in_generate",!1);re(this,"pad_token_id",null);re(this,"bos_token_id",null);re(this,"eos_token_id",null);re(this,"encoder_no_repeat_ngram_size",0);re(this,"decoder_start_token_id",null);re(this,"generation_kwargs",{});Object.assign(this,(0,s.pick)(o,Object.getOwnPropertyNames(this)))}}},"./src/generation/logits_process.js":(e,r,t)=>{t.r(r),t.d(r,{ClassifierFreeGuidanceLogitsProcessor:()=>b,ForcedBOSTokenLogitsProcessor:()=>l,ForcedEOSTokenLogitsProcessor:()=>d,LogitsProcessor:()=>n,LogitsProcessorList:()=>a,LogitsWarper:()=>o,MinLengthLogitsProcessor:()=>f,MinNewTokensLengthLogitsProcessor:()=>P,NoBadWordsLogitsProcessor:()=>A,NoRepeatNGramLogitsProcessor:()=>h,RepetitionPenaltyLogitsProcessor:()=>w,SuppressTokensAtBeginLogitsProcessor:()=>p,TemperatureLogitsWarper:()=>y,TopKLogitsWarper:()=>T,TopPLogitsWarper:()=>$,WhisperTimeStampLogitsProcessor:()=>u});var s=t("./src/utils/generic.js");t("./src/utils/tensor.js");var i=t("./src/utils/maths.js");class n extends s.Callable{_call(M,E){throw Error("`_call` should be implemented in a subclass")}}class o extends s.Callable{_call(M,E){throw Error("`_call` should be implemented in a subclass")}}class a extends s.Callable{constructor(){super(),this.processors=[]}push(M){this.processors.push(M)}extend(M){this.processors.push(...M)}_call(M,E){let k=E;for(const B of this.processors)k=B(M,k);return k}[Symbol.iterator](){return this.processors.values()}}class l extends n{constructor(M){super(),this.bos_token_id=M}_call(M,E){for(let k=0;k<M.length;++k)if(M[k].length===1){const B=E[k].data;B.fill(-1/0),B[this.bos_token_id]=0}return E}}class d extends n{constructor(M,E){super(),this.max_length=M,this.eos_token_id=Array.isArray(E)?E:[E]}_call(M,E){for(let k=0;k<M.length;++k)if(M[k].length===this.max_length-1){const B=E[k].data;B.fill(-1/0);for(const N of this.eos_token_id)B[N]=0}return E}}class p extends n{constructor(M,E){super(),this.begin_suppress_tokens=M,this.begin_index=E}_call(M,E){for(let k=0;k<M.length;++k)if(M[k].length===this.begin_index){const B=E[k].data;for(const N of this.begin_suppress_tokens)B[N]=-1/0}return E}}class u extends n{constructor(M,E){super(),this.eos_token_id=Array.isArray(M.eos_token_id)?M.eos_token_id[0]:M.eos_token_id,this.no_timestamps_token_id=M.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=E.length,E.at(-1)===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=M.max_initial_timestamp_index}_call(M,E){for(let k=0;k<M.length;++k){const B=E[k].data;if(B[this.no_timestamps_token_id]=-1/0,M[k].length===this.begin_index-1){B.fill(-1/0),B[this.timestamp_begin]=0;continue}const N=M[k].slice(this.begin_index),J=N.length>=1&&N[N.length-1]>=this.timestamp_begin,q=N.length<2||N[N.length-2]>=this.timestamp_begin;if(J&&(q?B.subarray(this.timestamp_begin).fill(-1/0):B.subarray(0,this.eos_token_id).fill(-1/0)),M[k].length===this.begin_index&&this.max_initial_timestamp_index!==null){const Q=this.timestamp_begin+this.max_initial_timestamp_index;B.subarray(Q+1).fill(-1/0)}const V=(0,i.log_softmax)(B),Y=Math.log(V.subarray(this.timestamp_begin).map(Math.exp).reduce((Q,ie)=>Q+ie)),H=(0,i.max)(V.subarray(0,this.timestamp_begin))[0];Y>H&&B.subarray(0,this.timestamp_begin).fill(-1/0)}return E}}class h extends n{constructor(M){super(),this.no_repeat_ngram_size=M}getNgrams(M){const E=M.length,k=[];for(let N=0;N<E+1-this.no_repeat_ngram_size;++N){const J=[];for(let q=0;q<this.no_repeat_ngram_size;++q)J.push(M[N+q]);k.push(J.map(Number))}const B=new Map;for(const N of k){const J=N.slice(0,N.length-1),q=JSON.stringify(J),V=B.get(q)??[];V.push(N[N.length-1]),B.set(q,V)}return B}getGeneratedNgrams(M,E){const k=E.slice(E.length+1-this.no_repeat_ngram_size,E.length);return M.get(JSON.stringify(k.map(Number)))??[]}calcBannedNgramTokens(M){const E=[];if(M.length+1<this.no_repeat_ngram_size)return E;{const k=this.getNgrams(M);return this.getGeneratedNgrams(k,M)}}_call(M,E){for(let k=0;k<M.length;++k){const B=E[k].data,N=this.calcBannedNgramTokens(M[k]);for(const J of N)B[J]=-1/0}return E}}class w extends n{constructor(M){super(),this.penalty=M}_call(M,E){for(let k=0;k<M.length;++k){const B=E[k].data;for(const N of new Set(M[k])){const J=Number(N);B[J]<0?B[J]*=this.penalty:B[J]/=this.penalty}}return E}}class f extends n{constructor(M,E){super(),this.min_length=M,this.eos_token_id=Array.isArray(E)?E:[E]}_call(M,E){for(let k=0;k<M.length;++k)if(M[k].length<this.min_length){const B=E[k].data;for(const N of this.eos_token_id)B[N]=-1/0}return E}}class P extends n{constructor(M,E,k){super(),this.prompt_length_to_skip=M,this.min_new_tokens=E,this.eos_token_id=Array.isArray(k)?k:[k]}_call(M,E){for(let k=0;k<M.length;++k)if(M[k].length-this.prompt_length_to_skip<this.min_new_tokens){const N=E[k].data;for(const J of this.eos_token_id)N[J]=-1/0}return E}}class A extends n{constructor(M,E){super(),this.bad_words_ids=M,this.eos_token_id=Array.isArray(E)?E:[E]}_call(M,E){for(let k=0;k<M.length;++k){const B=E[k].data,N=M[k];for(const J of this.bad_words_ids){let q=!0;for(let V=1;V<=J.length-1&&J.length<N.length;++V)if(J.at(-V-1)!=N.at(-V)){q=!1;break}q&&(B[J.at(-1)]=-1/0)}}return E}}class b extends n{constructor(M){if(super(),M<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${M}.`);this.guidance_scale=M}_call(M,E){if(E.dims[0]!==2*M.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${E.dims[0]} for the logits and ${M.length} for the input ids.`);const k=M.length,B=E.slice([0,k],null),N=E.slice([k,E.dims[0]],null);for(let J=0;J<N.data.length;++J)N.data[J]+=(B.data[J]-N.data[J])*this.guidance_scale;return N}}class y extends o{constructor(M){super(),this.temperature=M}_call(M,E){const k=E.data;for(let B=0;B<k.length;++B)k[B]/=this.temperature;return E}}class $ extends o{constructor(M,{filter_value:E=-1/0,min_tokens_to_keep:k=1}={}){if(super(),M<0||M>1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${M}`);if(!Number.isInteger(k)||k<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${k}`);this.top_p=M,this.filter_value=E,this.min_tokens_to_keep=k}}class T extends o{constructor(M,{filter_value:E=-1/0,min_tokens_to_keep:k=1}={}){if(super(),!Number.isInteger(M)||M<0)throw new Error(`\`top_k\` must be a positive integer, but is ${M}`);this.top_k=Math.max(M,k),this.filter_value=E}}},"./src/generation/logits_sampler.js":(e,r,t)=>{t.r(r),t.d(r,{LogitsSampler:()=>o});var s=t("./src/utils/generic.js"),i=t("./src/utils/tensor.js"),n=t("./src/utils/maths.js");t("./src/generation/configuration_utils.js");class o extends s.Callable{constructor(u){super(),this.generation_config=u}async _call(u){return this.sample(u)}async sample(u){throw Error("sample should be implemented in subclasses.")}getLogits(u,h){let w=u.dims.at(-1),f=u.data;if(h===-1)f=f.slice(-w);else{let P=h*w;f=f.slice(P,P+w)}return f}randomSelect(u){let h=0;for(let f=0;f<u.length;++f)h+=u[f];let w=Math.random()*h;for(let f=0;f<u.length;++f)if(w-=u[f],w<=0)return f;return 0}static getSampler(u){if(u.do_sample)return new l(u);if(u.num_beams>1)return new d(u);if(u.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${u.num_return_sequences}.`);return new a(u)}}class a extends o{async sample(u){const h=(0,n.max)(u.data)[1];return[[BigInt(h),0]]}}class l extends o{async sample(u){let h=u.dims.at(-1);this.generation_config.top_k>0&&(h=Math.min(this.generation_config.top_k,h));const[w,f]=await(0,i.topk)(u,h),P=(0,n.softmax)(w.data);return Array.from({length:this.generation_config.num_beams},()=>{const A=this.randomSelect(P);return[f.data[A],Math.log(P[A])]})}}class d extends o{async sample(u){let h=u.dims.at(-1);this.generation_config.top_k>0&&(h=Math.min(this.generation_config.top_k,h));const[w,f]=await(0,i.topk)(u,h),P=(0,n.softmax)(w.data);return Array.from({length:this.generation_config.num_beams},(A,b)=>[f.data[b],Math.log(P[b])])}}},"./src/generation/stopping_criteria.js":(e,r,t)=>{t.r(r),t.d(r,{EosTokenCriteria:()=>a,InterruptableStoppingCriteria:()=>l,MaxLengthCriteria:()=>o,StoppingCriteria:()=>i,StoppingCriteriaList:()=>n});var s=t("./src/utils/generic.js");class i extends s.Callable{_call(p,u){throw Error("StoppingCriteria needs to be subclassed")}}class n extends s.Callable{constructor(){super(),this.criteria=[]}push(p){this.criteria.push(p)}extend(p){p instanceof n?p=p.criteria:p instanceof i&&(p=[p]),this.criteria.push(...p)}_call(p,u){const h=new Array(p.length).fill(!1);for(const w of this.criteria){const f=w(p,u);for(let P=0;P<h.length;++P)h[P]||(h[P]=f[P])}return h}[Symbol.iterator](){return this.criteria.values()}}class o extends i{constructor(p,u=null){super(),this.max_length=p,this.max_position_embeddings=u}_call(p){return p.map(u=>u.length>=this.max_length)}}class a extends i{constructor(p){super(),Array.isArray(p)||(p=[p]),this.eos_token_id=p}_call(p,u){return p.map(h=>{const w=h.at(-1);return this.eos_token_id.some(f=>w==f)})}}class l extends i{constructor(){super(),this.interrupted=!1}interrupt(){this.interrupted=!0}reset(){this.interrupted=!1}_call(p,u){return new Array(p.length).fill(this.interrupted)}}},"./src/generation/streamers.js":(e,r,t)=>{t.r(r),t.d(r,{BaseStreamer:()=>o,TextStreamer:()=>l,WhisperTextStreamer:()=>d});var s=t("./src/utils/core.js"),i=t("./src/tokenizers.js"),n=t("./src/env.js");class o{put(u){throw Error("Not implemented")}end(){throw Error("Not implemented")}}const a=n.apis.IS_PROCESS_AVAILABLE?p=>process.stdout.write(p):p=>console.log(p);class l extends o{constructor(u,{skip_prompt:h=!1,callback_function:w=null,token_callback_function:f=null,skip_special_tokens:P=!0,decode_kwargs:A={},...b}={}){super(),this.tokenizer=u,this.skip_prompt=h,this.callback_function=w??a,this.token_callback_function=f,this.decode_kwargs={skip_special_tokens:P,...A,...b},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0}put(u){var A;if(u.length>1)throw Error("TextStreamer only supports batch size of 1");const h=this.next_tokens_are_prompt;if(h&&(this.next_tokens_are_prompt=!1,this.skip_prompt))return;const w=u[0];(A=this.token_callback_function)==null||A.call(this,w),this.token_cache=(0,s.mergeArrays)(this.token_cache,w);const f=this.tokenizer.decode(this.token_cache,this.decode_kwargs);let P;h||f.endsWith(`
-`)?(P=f.slice(this.print_len),this.token_cache=[],this.print_len=0):f.length>0&&(0,i.is_chinese_char)(f.charCodeAt(f.length-1))?(P=f.slice(this.print_len),this.print_len+=P.length):(P=f.slice(this.print_len,f.lastIndexOf(" ")+1),this.print_len+=P.length),this.on_finalized_text(P,!1)}end(){let u;this.token_cache.length>0?(u=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):u="",this.next_tokens_are_prompt=!0,this.on_finalized_text(u,!0)}on_finalized_text(u,h){var w,f;u.length>0&&((w=this.callback_function)==null||w.call(this,u)),h&&this.callback_function===a&&n.apis.IS_PROCESS_AVAILABLE&&((f=this.callback_function)==null||f.call(this,`
-`))}}class d extends l{constructor(u,{skip_prompt:h=!1,callback_function:w=null,token_callback_function:f=null,on_chunk_start:P=null,on_chunk_end:A=null,on_finalize:b=null,time_precision:y=.02,skip_special_tokens:$=!0,decode_kwargs:T={}}={}){super(u,{skip_prompt:h,skip_special_tokens:$,callback_function:w,token_callback_function:f,decode_kwargs:T}),this.timestamp_begin=u.timestamp_begin,this.on_chunk_start=P,this.on_chunk_end=A,this.on_finalize=b,this.time_precision=y,this.waiting_for_timestamp=!1}put(u){var w,f;if(u.length>1)throw Error("WhisperTextStreamer only supports batch size of 1");const h=u[0];if(h.length===1){const P=Number(h[0])-this.timestamp_begin;if(P>=0){const A=P*this.time_precision;this.waiting_for_timestamp?(w=this.on_chunk_end)==null||w.call(this,A):(f=this.on_chunk_start)==null||f.call(this,A),this.waiting_for_timestamp=!this.waiting_for_timestamp,u=[[]]}}return super.put(u)}end(){var 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The following inputs will be ignored: "${Se.join(", ")}".`)}return L}async function q(x,S){const L=J(x,S);try{const oe=Object.fromEntries(Object.entries(L).map(([me,Se])=>[me,Se.ort_tensor]));let fe=await x.run(oe);return fe=V(fe),fe}catch(oe){const fe=Object.fromEntries(Object.entries(L).map(([me,{type:Se,dims:De,data:Ge}])=>[me,{type:Se,dims:De,data:Ge}]));throw console.error(`An error occurred during model execution: "${oe}".`),console.error("Inputs given to model:",fe),oe}}function V(x){for(let S in x)(0,i.isONNXTensor)(x[S])?x[S]=new h.Tensor(x[S]):typeof x[S]=="object"&&V(x[S]);return x}function Y(x){if(x instanceof h.Tensor)return x;if(x.length===0)throw Error("items must be non-empty");if(Array.isArray(x[0])){if(x.some(S=>S.length!==x[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new h.Tensor("int64",BigInt64Array.from(x.flat().map(S=>BigInt(S))),[x.length,x[0].length])}else return new h.Tensor("int64",BigInt64Array.from(x.map(S=>BigInt(S))),[1,x.length])}function H(x){return new h.Tensor("bool",[x],[1])}async function Q(x,S){let{encoder_outputs:L,input_ids:oe,decoder_input_ids:fe,...me}=S;if(!L){const De=(0,a.pick)(S,x.sessions.model.inputNames);L=(await ie(x,De)).last_hidden_state}return me.input_ids=fe,me.encoder_hidden_states=L,x.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(me.encoder_attention_mask=S.attention_mask),await ae(x,me,!0)}async function ie(x,S){const L=x.sessions.model,oe=(0,a.pick)(S,L.inputNames);if(L.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds){if(!S.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");oe.inputs_embeds=await x.encode_text({input_ids:S.input_ids})}if(L.inputNames.includes("token_type_ids")&&!oe.token_type_ids){if(!oe.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");oe.token_type_ids=(0,h.zeros_like)(oe.input_ids)}if(L.inputNames.includes("pixel_mask")&&!oe.pixel_mask){if(!oe.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const fe=oe.pixel_values.dims;oe.pixel_mask=(0,h.ones)([fe[0],fe[2],fe[3]])}return await q(L,oe)}async function le(x,S){const L=await x.encode(S);return await x.decode(L)}async function ae(x,S,L=!1){const oe=x.sessions[L?"decoder_model_merged":"model"],{past_key_values:fe,...me}=S;if(oe.inputNames.includes("use_cache_branch")&&(me.use_cache_branch=H(!!fe)),oe.inputNames.includes("position_ids")&&me.attention_mask&&!me.position_ids){const De=["paligemma","gemma3_text","gemma3"].includes(x.config.model_type)?1:0;me.position_ids=_e(me,fe,De)}x.addPastKeyValues(me,fe);const Se=(0,a.pick)(me,oe.inputNames);return await q(oe,Se)}function we({modality_token_id:x,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:fe}){const me=oe.tolist().map(Je=>Je.reduce((lt,yt,st)=>(yt==x&&lt.push(st),lt),[])),Se=me.reduce((Je,lt)=>Je+lt.length,0),De=L.dims[0];if(Se!==De)throw new Error(`Number of tokens and features do not match: tokens: ${Se}, features ${De}`);let Ge=0;for(let Je=0;Je<me.length;++Je){const lt=me[Je],yt=S[Je];for(let st=0;st<lt.length;++st)yt[lt[st]].data.set(L[Ge++].data)}return{inputs_embeds:S,attention_mask:fe}}function R({image_token_id:x,inputs_embeds:S,image_features:L,input_ids:oe,attention_mask:fe}){return we({modality_token_id:x,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:fe})}function O({audio_token_id:x,inputs_embeds:S,audio_features:L,input_ids:oe,attention_mask:fe}){return we({modality_token_id:x,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:fe})}async function G(x,{encode_function:S,merge_function:L,modality_input_name:oe,modality_output_name:fe,input_ids:me=null,attention_mask:Se=null,position_ids:De=null,inputs_embeds:Ge=null,past_key_values:Je=null,generation_config:lt=null,logits_processor:yt=null,...st}){const Et=st[oe];if(!Ge){if(Ge=await x.encode_text({input_ids:me,...st}),Et&&me.dims[1]!==1){const vt=await S({[oe]:Et,...st});({inputs_embeds:Ge,attention_mask:Se}=L({[fe]:vt,inputs_embeds:Ge,input_ids:me,attention_mask:Se}))}else if(Je&&Et&&me.dims[1]===1){const vt=me.dims[1],ct=Object.values(Je)[0].dims.at(-2);Se=(0,h.cat)([(0,h.ones)([me.dims[0],ct]),Se.slice(null,[Se.dims[1]-vt,Se.dims[1]])],1)}}if(!De&&x.config.model_type==="qwen2_vl"){const{image_grid_thw:vt,video_grid_thw:ct}=st;[De]=x.get_rope_index(me,vt,ct,Se)}return await ae(x,{inputs_embeds:Ge,past_key_values:Je,attention_mask:Se,position_ids:De,generation_config:lt,logits_processor:yt},!0)}async function ne(x,S){return await G(x,{...S,modality_input_name:"audio_values",modality_output_name:"audio_features",encode_function:x.encode_audio.bind(x),merge_function:x._merge_input_ids_with_audio_features.bind(x)})}async function X(x,S){return await G(x,{...S,modality_input_name:"pixel_values",modality_output_name:"image_features",encode_function:x.encode_image.bind(x),merge_function:x._merge_input_ids_with_image_features.bind(x)})}function ye(x,S=0){const[L,oe]=x.dims,fe=x.data,me=new BigInt64Array(fe.length);for(let Se=0;Se<L;++Se){const De=Se*oe;let Ge=BigInt(S);for(let Je=0;Je<oe;++Je){const lt=De+Je;fe[lt]===0n?me[lt]=BigInt(1):(me[lt]=Ge,Ge+=fe[lt])}}return{data:me,dims:x.dims}}function _e(x,S=null,L=0){const{input_ids:oe,inputs_embeds:fe,attention_mask:me}=x,{data:Se,dims:De}=ye(me,L);let Ge=new h.Tensor("int64",Se,De);if(S){const Je=-(oe??fe).dims.at(1);Ge=Ge.slice(null,[Je,null])}return Ge}function ke(x,S,L,oe){if(L.past_key_values){const fe=Object.values(L.past_key_values)[0].dims.at(-2),{input_ids:me,attention_mask:Se}=L;if(!(Se&&Se.dims[1]>me.dims[1])){if(fe<me.dims[1])L.input_ids=me.slice(null,[fe,null]);else if(x.config.image_token_index!=null&&me.data.some(De=>De==x.config.image_token_index)){const De=x.config.num_image_tokens;if(!De)throw new Error("`num_image_tokens` is missing in the model configuration.");const Ge=me.dims[1]-(fe-De);L.input_ids=me.slice(null,[-Ge,null]),L.attention_mask=(0,h.ones)([1,fe+Ge])}}}return L}function He(x,S,L,oe){return L.past_key_values&&(S=S.map(fe=>[fe.at(-1)])),{...L,decoder_input_ids:Y(S)}}function Me(x,...S){return x.config.is_encoder_decoder?He(x,...S):ke(x,...S)}function K(x,S,L,oe){const fe=!!L.past_key_values;return oe.guidance_scale!==null&&oe.guidance_scale>1&&(fe?L.input_ids=(0,h.cat)([L.input_ids,L.input_ids],0):(L.input_ids=(0,h.cat)([L.input_ids,(0,h.full_like)(L.input_ids,BigInt(oe.pad_token_id))],0),L.attention_mask=(0,h.cat)([L.attention_mask,(0,h.full_like)(L.attention_mask,0n)],0))),(fe||!L.pixel_values)&&(L.pixel_values=(0,h.full)([0,0,3,384,384],1)),fe&&(L.images_seq_mask=new h.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),L.images_emb_mask=new h.Tensor("bool",new Array(0).fill(!1),[1,1,0])),L}class U extends o.Callable{constructor(L,oe,fe){super();re(this,"main_input_name","input_ids");re(this,"forward_params",["input_ids","attention_mask"]);this.config=L,this.sessions=oe,this.configs=fe;const me=E.get(this.constructor),Se=g.get(me);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,Se){case T.DecoderOnly:this.can_generate=!0,this._forward=ae,this._prepare_inputs_for_generation=ke;break;case T.Seq2Seq:case T.Vision2Seq:case T.Musicgen:this.can_generate=!0,this._forward=Q,this._prepare_inputs_for_generation=He;break;case T.EncoderDecoder:this._forward=Q;break;case T.ImageTextToText:this.can_generate=!0,this._forward=X,this._prepare_inputs_for_generation=Me;break;case T.AudioTextToText:this.can_generate=!0,this._forward=ne,this._prepare_inputs_for_generation=Me;break;case T.Phi3V:this.can_generate=!0,this._prepare_inputs_for_generation=Me;break;case T.MultiModality:this.can_generate=!0,this._prepare_inputs_for_generation=K;break;case T.AutoEncoder:this._forward=le;break;default:this._forward=ie;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var oe;const L=[];for(const fe of Object.values(this.sessions))(oe=fe==null?void 0:fe.handler)!=null&&oe.dispose&&L.push(fe.handler.dispose());return await Promise.all(L)}static async from_pretrained(L,{progress_callback:oe=null,config:fe=null,cache_dir:me=null,local_files_only:Se=!1,revision:De="main",model_file_name:Ge=null,subfolder:Je="onnx",device:lt=null,dtype:yt=null,use_external_data_format:st=null,session_options:Et={}}={}){let at={progress_callback:oe,config:fe,cache_dir:me,local_files_only:Se,revision:De,model_file_name:Ge,subfolder:Je,device:lt,dtype:yt,use_external_data_format:st,session_options:Et};const vt=E.get(this),ct=g.get(vt);fe=at.config=await s.AutoConfig.from_pretrained(L,at);let Tt;if(ct===T.DecoderOnly)Tt=await Promise.all([B(L,{model:at.model_file_name??"model"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.Seq2Seq||ct===T.Vision2Seq)Tt=await Promise.all([B(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.MaskGeneration)Tt=await Promise.all([B(L,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},at)]);else if(ct===T.EncoderDecoder)Tt=await Promise.all([B(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at)]);else if(ct===T.ImageTextToText){const Lt={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};fe.is_encoder_decoder&&(Lt.model="encoder_model"),Tt=await Promise.all([B(L,Lt,at),N(L,{generation_config:"generation_config.json"},at)])}else if(ct===T.AudioTextToText){const Lt={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};Tt=await Promise.all([B(L,Lt,at),N(L,{generation_config:"generation_config.json"},at)])}else if(ct===T.Musicgen)Tt=await Promise.all([B(L,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.MultiModality)Tt=await Promise.all([B(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.Phi3V)Tt=await Promise.all([B(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},at),N(L,{generation_config:"generation_config.json"},at)]);else if(ct===T.AutoEncoder)Tt=await Promise.all([B(L,{encoder_model:"encoder_model",decoder_model:"decoder_model"},at)]);else{if(ct!==T.EncoderOnly){const Lt=vt??(fe==null?void 0:fe.model_type);Lt!=="custom"&&console.warn(`Model type for '${Lt}' not found, assuming encoder-only architecture. Please report this at ${d.GITHUB_ISSUE_URL}.`)}Tt=await Promise.all([B(L,{model:at.model_file_name??"model"},at)])}return new this(fe,...Tt)}async _call(L){return await this.forward(L)}async forward(L){return await this._forward(this,L)}get generation_config(){var L;return((L=this.configs)==null?void 0:L.generation_config)??null}_get_logits_warper(L){const oe=new p.LogitsProcessorList;return L.temperature!==null&&L.temperature!==1&&oe.push(new p.TemperatureLogitsWarper(L.temperature)),L.top_k!==null&&L.top_k!==0&&oe.push(new p.TopKLogitsWarper(L.top_k)),L.top_p!==null&&L.top_p<1&&oe.push(new p.TopPLogitsWarper(L.top_p)),oe}_get_logits_processor(L,oe,fe=null){const me=new p.LogitsProcessorList;if(L.repetition_penalty!==null&&L.repetition_penalty!==1&&me.push(new p.RepetitionPenaltyLogitsProcessor(L.repetition_penalty)),L.no_repeat_ngram_size!==null&&L.no_repeat_ngram_size>0&&me.push(new p.NoRepeatNGramLogitsProcessor(L.no_repeat_ngram_size)),L.bad_words_ids!==null&&me.push(new p.NoBadWordsLogitsProcessor(L.bad_words_ids,L.eos_token_id)),L.min_length!==null&&L.eos_token_id!==null&&L.min_length>0&&me.push(new p.MinLengthLogitsProcessor(L.min_length,L.eos_token_id)),L.min_new_tokens!==null&&L.eos_token_id!==null&&L.min_new_tokens>0&&me.push(new p.MinNewTokensLengthLogitsProcessor(oe,L.min_new_tokens,L.eos_token_id)),L.forced_bos_token_id!==null&&me.push(new p.ForcedBOSTokenLogitsProcessor(L.forced_bos_token_id)),L.forced_eos_token_id!==null&&me.push(new p.ForcedEOSTokenLogitsProcessor(L.max_length,L.forced_eos_token_id)),L.begin_suppress_tokens!==null){const Se=oe>1||L.forced_bos_token_id===null?oe:oe+1;me.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se))}return L.guidance_scale!==null&&L.guidance_scale>1&&me.push(new p.ClassifierFreeGuidanceLogitsProcessor(L.guidance_scale)),fe!==null&&me.extend(fe),me}_prepare_generation_config(L,oe,fe=u.GenerationConfig){const me={...this.config};for(const De of["decoder","generator","text_config"])De in me&&Object.assign(me,me[De]);const Se=new fe(me);return Object.assign(Se,this.generation_config??{}),L&&Object.assign(Se,L),oe&&Object.assign(Se,(0,a.pick)(oe,Object.getOwnPropertyNames(Se))),Se}_get_stopping_criteria(L,oe=null){const fe=new P.StoppingCriteriaList;return L.max_length!==null&&fe.push(new P.MaxLengthCriteria(L.max_length,this.config.max_position_embeddings??null)),L.eos_token_id!==null&&fe.push(new P.EosTokenCriteria(L.eos_token_id)),oe&&fe.extend(oe),fe}_validate_model_class(){if(!this.can_generate){const L=[vu,xu,bu,Mu],oe=E.get(this.constructor),fe=new Set,me=this.config.model_type;for(const De of L){const Ge=De.get(me);Ge&&fe.add(Ge[0])}let Se=`The current model class (${oe}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw fe.size>0&&(Se+=` Please use the following class instead: ${[...fe].join(", ")}`),Error(Se)}}prepare_inputs_for_generation(...L){return this._prepare_inputs_for_generation(this,...L)}_update_model_kwargs_for_generation({generated_input_ids:L,outputs:oe,model_inputs:fe,is_encoder_decoder:me}){return fe.past_key_values=this.getPastKeyValues(oe,fe.past_key_values),fe.input_ids=new h.Tensor("int64",L.flat(),[L.length,1]),me||(fe.attention_mask=(0,h.cat)([fe.attention_mask,(0,h.ones)([fe.attention_mask.dims[0],1])],1)),fe.position_ids=null,fe}_prepare_model_inputs({inputs:L,bos_token_id:oe,model_kwargs:fe}){const me=(0,a.pick)(fe,this.forward_params),Se=this.main_input_name;if(Se in me){if(L)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else me[Se]=L;return{inputs_tensor:me[Se],model_inputs:me,model_input_name:Se}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:L,model_inputs:oe,model_input_name:fe,generation_config:me}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:De,pixel_values:Ge,attention_mask:Je,...lt}=oe,yt=await this._prepare_inputs_embeds(oe);oe={...lt,...(0,a.pick)(yt,["inputs_embeds","attention_mask"])}}let{last_hidden_state:Se}=await ie(this,oe);if(me.guidance_scale!==null&&me.guidance_scale>1)Se=(0,h.cat)([Se,(0,h.full_like)(Se,0)],0),"attention_mask"in oe&&(oe.attention_mask=(0,h.cat)([oe.attention_mask,(0,h.zeros_like)(oe.attention_mask)],0));else if(oe.decoder_input_ids){const De=Y(oe.decoder_input_ids).dims[0];if(De!==Se.dims[0]){if(Se.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${Se.dims[0]}) than the decoder inputs (${De}).`);Se=(0,h.cat)(Array.from({length:De},()=>Se),0)}}return oe.encoder_outputs=Se,oe}_prepare_decoder_input_ids_for_generation({batch_size:L,model_input_name:oe,model_kwargs:fe,decoder_start_token_id:me,bos_token_id:Se,generation_config:De}){let{decoder_input_ids:Ge,...Je}=fe;if(!(Ge instanceof h.Tensor)){if(Ge)Array.isArray(Ge[0])||(Ge=Array.from({length:L},()=>Ge));else if(me??(me=Se),this.config.model_type==="musicgen")Ge=Array.from({length:L*this.config.decoder.num_codebooks},()=>[me]);else if(Array.isArray(me)){if(me.length!==L)throw new Error(`\`decoder_start_token_id\` expcted to have length ${L} but got ${me.length}`);Ge=me}else Ge=Array.from({length:L},()=>[me]);Ge=Y(Ge)}return fe.decoder_attention_mask=(0,h.ones_like)(Ge),{input_ids:Ge,model_inputs:Je}}async generate({inputs:L=null,generation_config:oe=null,logits_processor:fe=null,stopping_criteria:me=null,streamer:Se=null,...De}){this._validate_model_class(),oe=this._prepare_generation_config(oe,De);let{inputs_tensor:Ge,model_inputs:Je,model_input_name:lt}=this._prepare_model_inputs({inputs:L,model_kwargs:De});const yt=this.config.is_encoder_decoder;yt&&("encoder_outputs"in Je||(Je=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Ge,model_inputs:Je,model_input_name:lt,generation_config:oe})));let st;yt?{input_ids:st,model_inputs:Je}=this._prepare_decoder_input_ids_for_generation({batch_size:Je[lt].dims.at(0),model_input_name:lt,model_kwargs:Je,decoder_start_token_id:oe.decoder_start_token_id,bos_token_id:oe.bos_token_id,generation_config:oe}):st=Je[lt];let Et=st.dims.at(-1);oe.max_new_tokens!==null&&(oe.max_length=Et+oe.max_new_tokens);const at=this._get_logits_processor(oe,Et,fe),vt=this._get_stopping_criteria(oe,me),ct=Je[lt].dims.at(0),Tt=A.LogitsSampler.getSampler(oe),Lt=new Array(ct).fill(0),Qt=st.tolist();Se&&Se.put(Qt);let yr,Pt={};for(;;){if(Je=this.prepare_inputs_for_generation(Qt,Je,oe),yr=await this.forward(Je),oe.output_attentions&&oe.return_dict_in_generate){const Sr=this.getAttentions(yr);for(const $s in Sr)$s in Pt||(Pt[$s]=[]),Pt[$s].push(Sr[$s])}const sr=yr.logits.slice(null,-1,null),Wr=at(Qt,sr),dn=[];for(let Sr=0;Sr<Wr.dims.at(0);++Sr){const $s=Wr[Sr],Eu=await Tt($s);for(const[ed,td]of Eu){const rd=BigInt(ed);Lt[Sr]+=td,Qt[Sr].push(rd),dn.push([rd]);break}}if(Se&&Se.put(dn),vt(Qt).every(Sr=>Sr))break;Je=this._update_model_kwargs_for_generation({generated_input_ids:dn,outputs:yr,model_inputs:Je,is_encoder_decoder:yt})}Se&&Se.end();const Nt=this.getPastKeyValues(yr,Je.past_key_values,!0),tr=new h.Tensor("int64",Qt.flat(),[Qt.length,Qt[0].length]);if(oe.return_dict_in_generate)return{sequences:tr,past_key_values:Nt,...Pt};for(const sr of Object.values(yr))sr.location==="gpu-buffer"&&sr.dispose();return tr}getPastKeyValues(L,oe,fe=!1){const me=Object.create(null);for(const Se in L)if(Se.startsWith("present")){const De=Se.replace("present","past_key_values"),Ge=Se.includes("encoder");if(Ge&&oe?me[De]=oe[De]:me[De]=L[Se],oe&&(!Ge||fe)){const Je=oe[De];Je.location==="gpu-buffer"&&Je.dispose()}}return me}getAttentions(L){const oe={};for(const fe of["cross_attentions","encoder_attentions","decoder_attentions"])for(const me in L)me.startsWith(fe)&&(fe in oe||(oe[fe]=[]),oe[fe].push(L[me]));return oe}addPastKeyValues(L,oe){var fe,me,Se;if(oe)Object.assign(L,oe);else{const De=this.sessions.decoder_model_merged??this.sessions.model,Ge=((fe=De==null?void 0:De.config)==null?void 0:fe.kv_cache_dtype)??"float32",Je=Ge==="float16"?new h.DataTypeMap.float16:[],lt=((Se=(me=L[this.main_input_name]??L.attention_mask)==null?void 0:me.dims)==null?void 0:Se[0])??1,yt=(0,s.getKeyValueShapes)(this.config,{batch_size:lt});for(const st in yt)L[st]=new h.Tensor(Ge,Je,yt[st])}}async encode_image({pixel_values:L}){const oe=(await q(this.sessions.vision_encoder,{pixel_values:L})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${oe.dims[1]}).`),this.config.num_image_tokens=oe.dims[1]),oe}async encode_text({input_ids:L}){return(await q(this.sessions.embed_tokens,{input_ids:L})).inputs_embeds}async encode_audio({audio_values:L}){return(await q(this.sessions.audio_encoder,{audio_values:L})).audio_features}}class pe{}class Pe extends pe{constructor({last_hidden_state:S,hidden_states:L=null,attentions:oe=null}){super(),this.last_hidden_state=S,this.hidden_states=L,this.attentions=oe}}class Te extends U{}class Ae extends Te{}class Ie extends Te{async _call(S){return new wr(await super._call(S))}}class Le extends Te{async _call(S){return new bt(await super._call(S))}}class Ne extends Te{async _call(S){return new pr(await super._call(S))}}class Ve extends Te{async _call(S){return new Cr(await super._call(S))}}class D extends U{}class Z extends D{}class z extends D{async _call(S){return new wr(await super._call(S))}}class ee extends D{async _call(S){return new bt(await super._call(S))}}class ce extends D{async _call(S){return new pr(await super._call(S))}}class be extends U{}class ve extends be{}class Re extends U{}class Fe extends Re{}class je extends Re{async _call(S){return new wr(await super._call(S))}}class Qe extends Re{async _call(S){return new bt(await super._call(S))}}class Xe extends Re{async _call(S){return new pr(await super._call(S))}}class ut extends Re{async _call(S){return new Cr(await super._call(S))}}class wt extends U{}class nr extends wt{}class jt extends wt{async _call(S){return new wr(await super._call(S))}}class dr extends wt{async _call(S){return new bt(await super._call(S))}}class ds extends wt{async _call(S){return new pr(await super._call(S))}}class Fs extends wt{async _call(S){return new Cr(await super._call(S))}}class Dr extends U{}class cs extends Dr{}class Os extends Dr{async _call(S){return new wr(await super._call(S))}}class jr extends Dr{async _call(S){return new bt(await super._call(S))}}class dt extends Dr{async _call(S){return new pr(await super._call(S))}}class qr extends Dr{async _call(S){return new Cr(await super._call(S))}}class Ur extends U{}class us extends Ur{}class xs extends Ur{async _call(S){return new wr(await super._call(S))}}class Ts extends Ur{async _call(S){return new bt(await super._call(S))}}class Es extends Ur{async _call(S){return new pr(await super._call(S))}}class Ds extends Ur{async _call(S){return new Cr(await super._call(S))}}class mr extends U{}class Be extends mr{}class et extends mr{async _call(S){return new wr(await super._call(S))}}class it extends mr{async _call(S){return new bt(await super._call(S))}}class rr extends mr{async _call(S){return new pr(await super._call(S))}}class zt extends mr{async _call(S){return new Cr(await super._call(S))}}class Ir extends U{}class ps extends Ir{}class hs extends Ir{async _call(S){return new wr(await super._call(S))}}class Er extends Ir{async _call(S){return new bt(await super._call(S))}}class ms extends Ir{async _call(S){return new pr(await super._call(S))}}class _s extends Ir{async _call(S){return new Cr(await super._call(S))}}class Qr extends U{}class Ps extends Qr{}class qs extends Qr{async _call(S){return new bt(await super._call(S))}}class Qs extends Qr{async _call(S){return new pr(await super._call(S))}}class Xs extends Qr{async _call(S){return new Cr(await super._call(S))}}class Js extends Qr{async _call(S){return new wr(await super._call(S))}}class fs extends U{}class Ys extends fs{}class Zs extends fs{async _call(S){return new wr(await super._call(S))}}class en extends fs{async _call(S){return new bt(await super._call(S))}}class Lr extends fs{async _call(S){return new pr(await super._call(S))}}class Cs extends U{}class br extends Cs{}class Ls extends Cs{async _call(S){return new wr(await super._call(S))}}class zs extends Cs{async _call(S){return new bt(await super._call(S))}}class Ar extends Cs{async _call(S){return new Cr(await super._call(S))}}class Xr extends U{}class Tn extends Xr{}class zr extends Xr{async _call(S){return new wr(await super._call(S))}}class En extends Xr{async _call(S){return new bt(await super._call(S))}}class Bs extends Xr{async _call(S){return new pr(await super._call(S))}}class Fr extends Xr{async _call(S){return new Cr(await super._call(S))}}class Jr extends U{}class cr extends Jr{}class _r extends Jr{async _call(S){return new wr(await super._call(S))}}class Rs extends Jr{async _call(S){return new bt(await super._call(S))}}class Pn extends Jr{async _call(S){return new Cr(await super._call(S))}}class Ss extends U{}class Cn extends Ss{}class ue extends Ss{async _call(S){return new bt(await super._call(S))}}class F extends Ss{async _call(S){return new Cr(await super._call(S))}}class j extends Ss{async _call(S){return new wr(await super._call(S))}}class te extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class de extends te{}class he extends te{}class Ce extends U{}class We extends Ce{}class qe extends Ce{}class Ke extends U{}class Ze extends Ke{}class ht extends Ke{}class Ct extends U{}class kt extends Ct{}class Wt extends Ct{}class Ot extends Ct{async _call(S){return new bt(await super._call(S))}}class Ut extends U{}class vr extends Ut{}class fr extends Ut{}class Yr extends Ut{async _call(S){return new bt(await super._call(S))}}class xr extends Ut{}class gs extends U{}class Gt extends gs{}class Zt extends gs{}class gr extends U{}class Zr extends gr{}class ws extends gr{}class Ht extends U{}class ur extends Ht{}class Rt extends Ht{async _call(S){return new wr(await super._call(S))}}class Jt extends Ht{async _call(S){return new bt(await super._call(S))}}class qt extends Ht{async _call(S){return new pr(await super._call(S))}}class er extends Ht{async _call(S){return new Cr(await super._call(S))}}class ir extends U{}class tn extends ir{}class rn extends ir{async _call(S){return new wr(await super._call(S))}}class La extends ir{async _call(S){return new bt(await super._call(S))}}class Vi extends ir{async _call(S){return new pr(await super._call(S))}}class za extends ir{async _call(S){return new Cr(await super._call(S))}}class ys extends U{}class Ba extends ys{}class Ra extends ys{async _call(S){return new wr(await super._call(S))}}class Sn extends ys{async _call(S){return new bt(await super._call(S))}}class Na extends ys{async _call(S){return new pr(await super._call(S))}}class Wi extends ys{async _call(S){return new Cr(await super._call(S))}}class Gi extends U{}class ja extends Gi{}class Ua extends Gi{}class Gn extends U{constructor(){super(...arguments);re(this,"requires_attention_mask",!1);re(this,"main_input_name","input_features");re(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class Va extends Gn{}class Ki extends Gn{_prepare_generation_config(S,L){return super._prepare_generation_config(S,L,y.WhisperGenerationConfig)}_retrieve_init_tokens(S){const L=[S.decoder_start_token_id];let oe=S.language;const fe=S.task;if(S.is_multilingual){oe||(console.warn("No language specified - defaulting to English (en)."),oe="en");const Se=`<|${(0,$.whisper_language_to_code)(oe)}|>`;L.push(S.lang_to_id[Se]),L.push(S.task_to_id[fe??"transcribe"])}else if(oe||fe)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!S.return_timestamps&&S.no_timestamps_token_id&&L.at(-1)!==S.no_timestamps_token_id?L.push(S.no_timestamps_token_id):S.return_timestamps&&L.at(-1)===S.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),L.pop()),L.filter(me=>me!=null)}async generate({inputs:S=null,generation_config:L=null,logits_processor:oe=null,stopping_criteria:fe=null,...me}){L=this._prepare_generation_config(L,me);const Se=me.decoder_input_ids??this._retrieve_init_tokens(L);if(L.return_timestamps&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.WhisperTimeStampLogitsProcessor(L,Se))),L.begin_suppress_tokens&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se.length))),L.return_token_timestamps){if(!L.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");L.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),L.output_attentions=!0,L.return_dict_in_generate=!0}const De=await super.generate({inputs:S,generation_config:L,logits_processor:oe,decoder_input_ids:Se,...me});return L.return_token_timestamps&&(De.token_timestamps=this._extract_token_timestamps(De,L.alignment_heads,L.num_frames)),De}_extract_token_timestamps(S,L,oe=null,fe=.02){if(!S.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");oe==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let me=this.config.median_filter_width;me===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),me=7);const Se=S.cross_attentions,De=Array.from({length:this.config.decoder_layers},(vt,ct)=>(0,h.cat)(Se.map(Tt=>Tt[ct]),2)),Ge=(0,h.stack)(L.map(([vt,ct])=>{if(vt>=De.length)throw new Error(`Layer index ${vt} is out of bounds for cross attentions (length ${De.length}).`);return oe?De[vt].slice(null,ct,null,[0,oe]):De[vt].slice(null,ct)})).transpose(1,0,2,3),[Je,lt]=(0,h.std_mean)(Ge,-2,0,!0),yt=Ge.clone();for(let vt=0;vt<yt.dims[0];++vt){const ct=yt[vt];for(let Tt=0;Tt<ct.dims[0];++Tt){const Lt=ct[Tt],Qt=Je[vt][Tt][0].data,yr=lt[vt][Tt][0].data;for(let Pt=0;Pt<Lt.dims[0];++Pt){let Nt=Lt[Pt].data;for(let tr=0;tr<Nt.length;++tr)Nt[tr]=(Nt[tr]-yr[tr])/Qt[tr];Nt.set((0,f.medianFilter)(Nt,me))}}}const st=[(0,h.mean)(yt,1)],Et=S.sequences.dims,at=new h.Tensor("float32",new Float32Array(Et[0]*Et[1]),Et);for(let vt=0;vt<Et[0];++vt){const ct=st[vt].neg().squeeze_(0),[Tt,Lt]=(0,f.dynamic_time_warping)(ct.tolist()),Qt=Array.from({length:Tt.length-1},(Nt,tr)=>Tt[tr+1]-Tt[tr]),yr=(0,a.mergeArrays)([1],Qt).map(Nt=>!!Nt),Pt=[];for(let Nt=0;Nt<yr.length;++Nt)yr[Nt]&&Pt.push(Lt[Nt]*fe);at[vt].data.set(Pt,1)}return at}}class Wa extends Ki{}class Hi extends U{constructor(){super(...arguments);re(this,"requires_attention_mask",!1);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values","decoder_input_ids","past_key_values"])}}class Jc extends Hi{}class Ga extends Hi{}class qi extends U{constructor(){super(...arguments);re(this,"main_input_name","pixel_values");re(this,"forward_params",["pixel_values","decoder_input_ids","encoder_hidden_states","past_key_values"])}}class Ka extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}}class Kn extends Ka{_merge_input_ids_with_image_features({inputs_embeds:S,image_features:L,input_ids:oe,attention_mask:fe}){const me=this.config.image_token_index,De=oe.tolist().map(st=>st.findIndex(Et=>Et==me)),Ge=De.every(st=>st===-1),Je=De.every(st=>st!==-1);if(!Ge&&!Je)throw new Error("Every input should contain either 0 or 1 image token.");if(Ge)return{inputs_embeds:S,attention_mask:fe};const lt=[],yt=[];for(let st=0;st<De.length;++st){const Et=De[st],at=S[st],vt=L[st],ct=fe[st];lt.push((0,h.cat)([at.slice([0,Et]),vt,at.slice([Et+1,at.dims[0]])],0)),yt.push((0,h.cat)([ct.slice([0,Et]),(0,h.ones)([vt.dims[0]]),ct.slice([Et+1,ct.dims[0]])],0))}return{inputs_embeds:(0,h.stack)(lt,0),attention_mask:(0,h.stack)(yt,0)}}}class Ha extends Kn{}class qa extends Kn{}class Qa extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"]);re(this,"main_input_name","inputs_embeds")}}class Qi extends Qa{_merge_input_ids_with_image_features({inputs_embeds:S,image_features:L,input_ids:oe,attention_mask:fe}){return{inputs_embeds:(0,h.cat)([L,S],1),attention_mask:(0,h.cat)([(0,h.ones)(L.dims.slice(0,2)),fe],1)}}async _prepare_inputs_embeds({input_ids:S,pixel_values:L,inputs_embeds:oe,attention_mask:fe}){if(!S&&!L)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let me,Se;return S&&(me=await this.encode_text({input_ids:S})),L&&(Se=await this.encode_image({pixel_values:L})),me&&Se?{inputs_embeds:oe,attention_mask:fe}=this._merge_input_ids_with_image_features({inputs_embeds:me,image_features:Se,input_ids:S,attention_mask:fe}):oe=me||Se,{inputs_embeds:oe,attention_mask:fe}}async forward({input_ids:S,pixel_values:L,attention_mask:oe,decoder_input_ids:fe,decoder_attention_mask:me,encoder_outputs:Se,past_key_values:De,inputs_embeds:Ge,decoder_inputs_embeds:Je}){if(Ge||({inputs_embeds:Ge,attention_mask:oe}=await this._prepare_inputs_embeds({input_ids:S,pixel_values:L,inputs_embeds:Ge,attention_mask:oe})),!Se){let{last_hidden_state:st}=await ie(this,{inputs_embeds:Ge,attention_mask:oe});Se=st}if(!Je){if(!fe)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");Je=await this.encode_text({input_ids:fe})}return await ae(this,{inputs_embeds:Je,attention_mask:me,encoder_attention_mask:oe,encoder_hidden_states:Se,past_key_values:De},!0)}}class Xi extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}}class Ji extends Xi{_merge_input_ids_with_image_features(S){const L=S.image_features.dims.at(-1),oe=S.image_features.view(-1,L);return R({image_token_id:this.config.image_token_index,...S,image_features:oe})}}class Xa extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"])}}class Hn extends Xa{async encode_image({pixel_values:S,pixel_attention_mask:L}){return(await q(this.sessions.vision_encoder,{pixel_values:S,pixel_attention_mask:L})).image_features}_merge_input_ids_with_image_features(S){const L=S.image_features.dims.at(-1),oe=S.image_features.view(-1,L);return R({image_token_id:this.config.image_token_id,...S,image_features:oe})}}class qn extends Hn{}class Yi extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"])}}class Ns extends Yi{async forward({input_ids:S=null,attention_mask:L=null,pixel_values:oe=null,image_sizes:fe=null,position_ids:me=null,inputs_embeds:Se=null,past_key_values:De=null,generation_config:Ge=null,logits_processor:Je=null,...lt}){if(!Se){let st;if(oe&&S.dims[1]!==1){if(!fe)throw new Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:st}=await q(this.sessions.vision_encoder,{pixel_values:oe,image_sizes:fe}))}else{const Et=this.config.normalized_config.hidden_size;st=new h.Tensor("float32",[],[0,Et])}({inputs_embeds:Se}=await q(this.sessions.prepare_inputs_embeds,{input_ids:S,image_features:st}))}return await ae(this,{inputs_embeds:Se,past_key_values:De,attention_mask:L,position_ids:me,generation_config:Ge,logits_processor:Je},!1)}}class js extends U{}class Zi extends js{}class Yc extends js{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class Ja extends js{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class Zc extends js{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class Qn extends js{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class Xn extends U{}class Ya extends Xn{}class Za extends Xn{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class el extends js{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class tl extends U{}class rl extends tl{}class Jn extends U{}class sl extends Jn{async forward(S){const L=!S.input_ids,oe=!S.pixel_values;if(L&&oe)throw new Error("Either `input_ids` or `pixel_values` should be provided.");if(L&&(S.input_ids=(0,h.ones)([S.pixel_values.dims[0],1])),oe){const{image_size:Je}=this.config.vision_config;S.pixel_values=(0,h.full)([0,3,Je,Je],0)}const{text_embeddings:fe,image_embeddings:me,l2norm_text_embeddings:Se,l2norm_image_embeddings:De}=await super.forward(S),Ge={};return L||(Ge.text_embeddings=fe,Ge.l2norm_text_embeddings=Se),oe||(Ge.image_embeddings=me,Ge.l2norm_image_embeddings=De),Ge}}class nl extends Jn{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class il extends Jn{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class sn extends U{}class nn extends sn{}class eo extends sn{}class to extends U{}class ol extends to{}class Yn extends to{}class $n extends U{}class ro extends $n{}class so extends $n{}class Zn extends U{}class no extends Zn{}class io extends Zn{}class ei extends U{}class al extends ei{}class oo extends ei{}class ao extends U{}class lo extends ao{}class kn extends ao{}class Oe extends U{}class ll extends Oe{}class co extends Oe{}class ti extends U{}class In extends ti{}class Vr extends ti{}class on extends U{}class ri extends on{}class uo extends on{}class si extends U{}class po extends si{}class ni extends si{}class ii extends U{}class ho extends ii{}class ft extends ii{}class Us extends U{}class mo extends Us{}class mt extends Us{}class An extends U{}class _t extends An{}class _o extends An{}class oi extends U{}class fo extends oi{}class go extends oi{}class ai extends U{}class wo extends ai{}class li extends ai{}class di extends U{}class yo extends di{}class Mo extends di{}class ci extends U{}class bo extends ci{}class vo extends ci{}class ui extends U{}class xo extends ui{}class To extends ui{}class pi extends U{}class Eo extends pi{}class Po extends pi{}class hi extends U{}class Co extends hi{}class So extends hi{}class mi extends U{}class $o extends mi{}class ko extends mi{}class _i extends U{}class Io extends _i{}class Ao extends _i{}class Fo extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"])}}class Oo extends Fo{get_rope_index(S,L,oe,fe){const{vision_config:me,image_token_id:Se,video_token_id:De,vision_start_token_id:Ge}=this.config,Je=me.spatial_merge_size??2,lt=[];if(L||oe){let yt=S.tolist();fe||(fe=(0,h.ones_like)(S));const st=fe.tolist(),Et=Array.from({length:3},Lt=>Array.from({length:S.dims[0]},Qt=>Array.from({length:S.dims[1]},yr=>1))),at=L?L.tolist():[],vt=oe?oe.tolist():[];let ct=0,Tt=0;for(let Lt=0;Lt<yt.length;++Lt){const Qt=yt[Lt].filter((Kt,or)=>st[Lt][or]==1),Pt=Qt.reduce((Kt,or,cn)=>(or==Ge&&Kt.push(cn),Kt),[]).map(Kt=>Qt[Kt+1]),Nt=Pt.filter(Kt=>Kt==Se).length,tr=Pt.filter(Kt=>Kt==De).length;let sr=[],Wr=0,dn=Nt,Zl=tr;for(let Kt=0;Kt<Pt.length;++Kt){const or=Qt.findIndex((Dn,Ms)=>Ms>Wr&&Dn==Se),cn=Qt.findIndex((Dn,Ms)=>Ms>Wr&&Dn==De),On=dn>0&&or!==-1?or:Qt.length+1,Pi=Zl>0&&cn!==-1?cn:Qt.length+1;let sd,Pu,Cu,Su;On<Pi?([Pu,Cu,Su]=at[ct],++ct,--dn,sd=On):([Pu,Cu,Su]=vt[Tt],++Tt,--Zl,sd=Pi);const[Sx,$u,nd]=[Number(Pu),Math.floor(Number(Cu)/Je),Math.floor(Number(Su)/Je)],ku=sd-Wr,fb=sr.length>0?(0,f.max)(sr.at(-1))[0]+1:0;sr.push(Array.from({length:3*ku},(Dn,Ms)=>fb+Ms%ku));const Iu=ku+fb,id=Sx*$u*nd,$x=Array.from({length:id},(Dn,Ms)=>Iu+Math.floor(Ms/($u*nd))),kx=Array.from({length:id},(Dn,Ms)=>Iu+Math.floor(Ms/nd)%$u),Ix=Array.from({length:id},(Dn,Ms)=>Iu+Ms%nd);sr.push([$x,kx,Ix].flat()),Wr=sd+id}if(Wr<Qt.length){const Kt=sr.length>0?(0,f.max)(sr.at(-1))[0]+1:0,or=Qt.length-Wr;sr.push(Array.from({length:3*or},(cn,On)=>Kt+On%or))}const Sr=sr.reduce((Kt,or)=>Kt+or.length,0),$s=new Array(Sr);let Eu=0;for(let Kt=0;Kt<3;++Kt)for(let or=0;or<sr.length;++or){const cn=sr[or],On=cn.length/3;for(let Pi=Kt*On;Pi<(Kt+1)*On;++Pi)$s[Eu++]=cn[Pi]}let ed=0;const td=st[Lt];for(let Kt=0;Kt<td.length;++Kt)if(td[Kt]==1){for(let or=0;or<3;++or)Et[or][Lt][Kt]=$s[or*Sr/3+ed];++ed}const rd=(0,f.max)($s)[0];lt.push(rd+1-yt[Lt].length)}return[new h.Tensor("int64",Et.flat(1/0),[3,S.dims[0],S.dims[1]]),new h.Tensor("int64",lt,[lt.length,1])]}else if(fe){const{data:yt,dims:st}=ye(fe),Et=BigInt64Array.from({length:3*yt.length},(vt,ct)=>yt[ct%yt.length]),at=Array.from({length:st[0]},(vt,ct)=>(0,f.max)(yt.subarray(st[1]*ct,st[1]*(ct+1)))[0]+1n+BigInt(st[1]));return[new h.Tensor("int64",Et,[3,...st]),new h.Tensor("int64",at,[at.length,1])]}else{const[yt,st]=S.dims,Et=BigInt64Array.from({length:3*yt*st},(at,vt)=>BigInt(Math.floor(vt%st/yt)));return[new h.Tensor("int64",Et,[3,...S.dims]),(0,h.zeros)([yt,1])]}}async encode_image({pixel_values:S,image_grid_thw:L}){return(await q(this.sessions.vision_encoder,{pixel_values:S,grid_thw:L})).image_features}_merge_input_ids_with_image_features(S){return R({image_token_id:this.config.image_token_id,...S})}prepare_inputs_for_generation(S,L,oe){if(L.attention_mask&&!L.position_ids)if(!L.past_key_values)[L.position_ids,L.rope_deltas]=this.get_rope_index(L.input_ids,L.image_grid_thw,L.video_grid_thw,L.attention_mask);else{L.pixel_values=null;const fe=BigInt(Object.values(L.past_key_values)[0].dims.at(-2)),me=L.rope_deltas.map(Se=>fe+Se);L.position_ids=(0,h.stack)([me,me,me],0)}return L}}class fi extends U{}class Do extends fi{}class Lo extends fi{}class gi extends U{}class zo extends gi{}class Bo extends gi{}class wi extends U{}class Ro extends wi{}class No extends wi{}class yi extends U{}class jo extends yi{}class Uo extends yi{}class Mi extends U{}class Vo extends Mi{}class Wo extends Mi{}class bi extends U{}class Go extends bi{}class Ko extends bi{async _call(S){return new bt(await super._call(S))}}class vi extends U{}class Ho extends vi{}class qo extends vi{async _call(S){return new bt(await super._call(S))}}class Qo extends U{}class Xo extends Qo{}class Jo extends U{}class dl extends Jo{}class cl extends Jo{async _call(S){return new bt(await super._call(S))}}class ul extends U{}class pl extends ul{}class Yo extends U{}class hl extends Yo{}class ml extends Yo{async _call(S){return new bt(await super._call(S))}}class _l extends U{}class fl extends _l{}class Zo extends U{}class gl extends Zo{}class wl extends Zo{async _call(S){return new bt(await super._call(S))}}class yl extends U{}class Ml extends yl{async _call(S){return new mb(await super._call(S))}}class ea extends U{}class bl extends ea{}class vl extends ea{async _call(S){return new bt(await super._call(S))}}class ta extends U{}class xl extends ta{}class Tl extends ta{async _call(S){return new bt(await super._call(S))}}class ra extends U{}class El extends ra{}class Pl extends ra{}class sa extends U{}class Cl extends sa{}class Sl extends sa{}class na extends U{}class $l extends na{}class kl extends na{async _call(S){return new bt(await super._call(S))}}class xi extends U{}class Il extends xi{}class Al extends xi{async _call(S){return new oa(await super._call(S))}}class ia extends xi{async _call(S){return new Fl(await super._call(S))}}class oa extends pe{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class Fl extends pe{constructor({logits:S,pred_boxes:L,pred_masks:oe}){super(),this.logits=S,this.pred_boxes=L,this.pred_masks=oe}}class aa extends U{}class Ol extends aa{}class Dl extends aa{async _call(S){return new Ll(await super._call(S))}}class Ll extends pe{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class la extends U{}class zl extends la{}class Bl extends la{async _call(S){return new Rl(await super._call(S))}}class Rl extends oa{}class da extends U{}class ca extends da{}class c extends da{async _call(S){return new bt(await super._call(S))}}class m extends U{}class v extends m{}class C extends m{async _call(S){return new bt(await super._call(S))}}class I extends U{}class W extends I{}class se extends I{async _call(S){return new bt(await super._call(S))}}class ge extends U{}class Ee extends ge{}class ze extends ge{async _call(S){return new bt(await super._call(S))}}class Ye extends ge{}class ot extends U{}class gt extends ot{}class Bt extends ot{}class Pr extends U{}class an extends Pr{}class qw extends Pr{}class Qw extends U{}class Xw extends Qw{}class Nl extends U{}class Jw extends Nl{}class Yw extends Nl{}class Zw extends Nl{}class ey extends U{}class ty extends ey{}class ry extends U{}class sy extends ry{}class ny extends U{}class iy extends ny{}class eu extends U{}class oy extends eu{}class ay extends eu{}class tu extends U{}class ly extends tu{}class dy extends tu{}class cy extends U{}class uy extends cy{}class ru extends U{}class py extends ru{}class hy extends ru{async _call(S){return new bt(await super._call(S))}}class su extends U{}class my extends su{}class _y extends su{async _call(S){return new bt(await super._call(S))}}class nu extends U{}class fy extends nu{}class gy extends nu{async _call(S){return new bt(await super._call(S))}}class iu extends U{}class wy extends iu{}class yy extends iu{async _call(S){return new bt(await super._call(S))}}class My extends U{}class by extends My{}class ou extends U{}class vy extends ou{}class xy extends ou{async _call(S){return new Ty(await super._call(S))}}class Ty extends pe{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class Ey extends U{}class Py extends Ey{async get_image_embeddings({pixel_values:S}){return await ie(this,{pixel_values:S})}async forward(S){if((!S.image_embeddings||!S.image_positional_embeddings)&&(S={...S,...await this.get_image_embeddings(S)}),!S.input_labels&&S.input_points){const oe=S.input_points.dims.slice(0,-1),fe=oe.reduce((me,Se)=>me*Se,1);S.input_labels=new h.Tensor("int64",new BigInt64Array(fe).fill(1n),oe)}const L={image_embeddings:S.image_embeddings,image_positional_embeddings:S.image_positional_embeddings};return S.input_points&&(L.input_points=S.input_points),S.input_labels&&(L.input_labels=S.input_labels),S.input_boxes&&(L.input_boxes=S.input_boxes),await q(this.sessions.prompt_encoder_mask_decoder,L)}async _call(S){return new Cy(await super._call(S))}}class Cy extends pe{constructor({iou_scores:S,pred_masks:L}){super(),this.iou_scores=S,this.pred_masks=L}}class au extends U{}class Sy extends au{}class $y extends au{}class lu extends U{}class ky extends lu{}class Iy extends lu{}class ln extends U{}class Ay extends ln{}class Fy extends ln{async _call(S){return new Fn(await super._call(S))}}class Oy extends ln{async _call(S){return new bt(await super._call(S))}}class Dy extends ln{async _call(S){return new pr(await super._call(S))}}class du extends U{}class Ly extends du{}class zy extends du{async _call(S){return new pr(await super._call(S))}}class By extends U{}class Ry extends By{}class jl extends U{}class Ny extends jl{}class jy extends jl{async _call(S){return new Fn(await super._call(S))}}class Uy extends jl{async _call(S){return new bt(await super._call(S))}}class ua extends U{}class Vy extends ua{}class Wy extends ua{async _call(S){return new Fn(await super._call(S))}}class Gy extends ua{async _call(S){return new bt(await super._call(S))}}class Ky extends ua{async _call(S){return new pr(await super._call(S))}}class Ul extends U{}class Hy extends Ul{}class qy extends Ul{async _call(S){return new Fn(await super._call(S))}}class Qy extends Ul{async _call(S){return new bt(await super._call(S))}}class hx extends U{}class Xy extends ln{}class Jy extends ln{async _call(S){return new Fn(await super._call(S))}}class Yy extends ln{async _call(S){return new bt(await super._call(S))}}class Ti extends U{}class Zy extends Ti{}class eM extends Ti{async _call(S){return new Fn(await super._call(S))}}class tM extends Ti{async _call(S){return new bt(await super._call(S))}}class rM extends Ti{async _call(S){return new hb(await super._call(S))}}class sM extends Ti{async _call(S){return new pr(await super._call(S))}}class nM extends U{}class iM extends nM{}class Vl extends U{}class mx extends Vl{}class oM extends Vl{}class aM extends Vl{async generate_speech(S,L,{threshold:oe=.5,minlenratio:fe=0,maxlenratio:me=20,vocoder:Se=null}={}){const De={input_ids:S},{encoder_outputs:Ge,encoder_attention_mask:Je}=await ie(this,De),lt=Ge.dims[1]/this.config.reduction_factor,yt=Math.floor(lt*me),st=Math.floor(lt*fe),Et=this.config.num_mel_bins;let at=[],vt=null,ct=null,Tt=0;for(;;){++Tt;const yr=H(!!ct);let Pt;ct?Pt=ct.output_sequence_out:Pt=new h.Tensor("float32",new Float32Array(Et),[1,1,Et]);let Nt={use_cache_branch:yr,output_sequence:Pt,encoder_attention_mask:Je,speaker_embeddings:L,encoder_hidden_states:Ge};this.addPastKeyValues(Nt,vt),ct=await q(this.sessions.decoder_model_merged,Nt),vt=this.getPastKeyValues(ct,vt);const{prob:tr,spectrum:sr}=ct;if(at.push(sr),Tt>=st&&(Array.from(tr.data).filter(Wr=>Wr>=oe).length>0||Tt>=yt))break}const Lt=(0,h.cat)(at),{waveform:Qt}=await q(Se.sessions.model,{spectrogram:Lt});return{spectrogram:Lt,waveform:Qt}}}class lM extends U{constructor(){super(...arguments);re(this,"main_input_name","spectrogram")}}class dM extends U{}class cM extends dM{}class cu extends U{}class uM extends cu{}class pM extends cu{}class uu extends U{}class hM extends uu{}class mM extends uu{}class pu extends U{}class _M extends pu{}class fM extends pu{}class Wl extends U{}class gM extends Wl{}class wM extends Wl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class yM extends Wl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"audio_model"})}}class MM extends U{}class hu extends MM{async _call(S){return new _b(await super._call(S))}}class Gl extends U{}class _x extends Gl{}class bM extends Gl{}class vM extends Gl{}class mu extends U{}class xM extends mu{}class TM extends mu{}class _u extends U{}class EM extends _u{}class PM extends _u{async _call(S){return new bt(await super._call(S))}}class fu extends U{}class fx extends fu{}class gx extends fu{}class gu extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}_apply_and_filter_by_delay_pattern_mask(L){const[oe,fe]=L.dims,me=this.config.decoder.num_codebooks,Se=fe-me;let De=0;for(let lt=0;lt<L.size;++lt){if(L.data[lt]===this.config.decoder.pad_token_id)continue;const yt=lt%fe,st=Math.floor(lt/fe)%me,Et=yt-st;Et>0&&Et<=Se&&(L.data[De++]=L.data[lt])}const Ge=Math.floor(oe/me),Je=De/(Ge*me);return new h.Tensor(L.type,L.data.slice(0,De),[Ge,me,Je])}prepare_inputs_for_generation(L,oe,fe){let me=structuredClone(L);for(let De=0;De<me.length;++De)for(let Ge=0;Ge<me[De].length;++Ge)De%this.config.decoder.num_codebooks>=Ge&&(me[De][Ge]=BigInt(this.config.decoder.pad_token_id));return fe.guidance_scale!==null&&fe.guidance_scale>1&&(me=me.concat(me)),super.prepare_inputs_for_generation(me,oe,fe)}async generate(L){const oe=await super.generate(L),fe=this._apply_and_filter_by_delay_pattern_mask(oe).unsqueeze_(0),{audio_values:me}=await q(this.sessions.encodec_decode,{audio_codes:fe});return me}}class Kl extends U{}class CM extends Kl{}class SM extends Kl{async _call(S){return new bt(await super._call(S))}}class $M extends Kl{}class Hl extends U{}class kM extends Hl{}class IM extends Hl{async _call(S){return new bt(await super._call(S))}}class AM extends Hl{}class ql extends U{}class FM extends ql{}class OM extends ql{async _call(S){return new bt(await super._call(S))}}class DM extends ql{}class Ql extends U{}class LM extends Ql{}class zM extends Ql{async _call(S){return new bt(await super._call(S))}}class BM extends Ql{}class RM extends U{}class NM extends RM{}class jM extends U{}class UM extends jM{constructor(...L){super(...L);re(this,"forward_params",["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"]);this._generation_mode="text"}async forward(L){const oe=this._generation_mode??"text";let fe;if(oe==="text"||!L.past_key_values){const Je=this.sessions.prepare_inputs_embeds,lt=(0,a.pick)(L,Je.inputNames);fe=await q(Je,lt)}else{const Je=this.sessions.gen_img_embeds,lt=(0,a.pick)({image_ids:L.input_ids},Je.inputNames);fe=await q(Je,lt)}const me={...L,...fe},Se=await ae(this,me),De=this.sessions[oe==="text"?"lm_head":"gen_head"];if(!De)throw new Error(`Unable to find "${De}" generation head`);const Ge=await q(De,(0,a.pick)(Se,De.inputNames));return{...fe,...Se,...Ge}}async generate(L){return this._generation_mode="text",super.generate(L)}async generate_images(L){this._generation_mode="image";const oe=(L.inputs??L[this.main_input_name]).dims[1],me=(await super.generate(L)).slice(null,[oe,null]),Se=this.sessions.image_decode,{decoded_image:De}=await q(Se,{generated_tokens:me}),Ge=De.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),Je=[];for(const lt of Ge){const yt=w.RawImage.fromTensor(lt);Je.push(yt)}return Je}}class VM extends pe{constructor({char_logits:S,bpe_logits:L,wp_logits:oe}){super(),this.char_logits=S,this.bpe_logits=L,this.wp_logits=oe}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class WM extends U{}class GM extends WM{async _call(S){return new VM(await super._call(S))}}class wu extends U{}class KM extends wu{}class HM extends wu{}class yu extends U{}class qM extends yu{}class QM extends yu{}class XM extends U{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","position_ids","audio_values","past_key_values"])}}class JM extends XM{_merge_input_ids_with_audio_features(S){const L=S.audio_features.dims.at(-1),oe=S.audio_features.view(-1,L);return O({audio_token_id:this.config.ignore_index,...S,audio_features:oe})}}class Xl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class YM extends pe{constructor({audio_codes:S}){super(),this.audio_codes=S}}class ZM extends pe{constructor({audio_values:S}){super(),this.audio_values=S}}class e0 extends Xl{async encode(S){return new YM(await q(this.sessions.encoder_model,S))}async decode(S){return new ZM(await q(this.sessions.decoder_model,S))}}class t0 extends Xl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class r0 extends Xl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Jl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class s0 extends pe{constructor({audio_codes:S}){super(),this.audio_codes=S}}class n0 extends pe{constructor({audio_values:S}){super(),this.audio_values=S}}class i0 extends Jl{async encode(S){return new s0(await q(this.sessions.encoder_model,S))}async decode(S){return new n0(await q(this.sessions.decoder_model,S))}}class o0 extends Jl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class a0 extends Jl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Yl extends U{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class l0 extends Yl{async encode(S){return await q(this.sessions.encoder_model,S)}async decode(S){return await q(this.sessions.decoder_model,S)}}class d0 extends Yl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class c0 extends Yl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class It{static async from_pretrained(S,{progress_callback:L=null,config:oe=null,cache_dir:fe=null,local_files_only:me=!1,revision:Se="main",model_file_name:De=null,subfolder:Ge="onnx",device:Je=null,dtype:lt=null,use_external_data_format:yt=null,session_options:st={}}={}){const Et={progress_callback:L,config:oe,cache_dir:fe,local_files_only:me,revision:Se,model_file_name:De,subfolder:Ge,device:Je,dtype:lt,use_external_data_format:yt,session_options:st};if(Et.config=await s.AutoConfig.from_pretrained(S,Et),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);const at=Et.config.model_type;for(const vt of this.MODEL_CLASS_MAPPINGS){let ct=vt.get(at);if(!ct){for(const Tt of vt.values())if(Tt[0]===at){ct=Tt;break}if(!ct)continue}return await ct[1].from_pretrained(S,Et)}if(this.BASE_IF_FAIL)return L0.has(at)||console.warn(`Unknown model class "${at}", attempting to construct from base class.`),await U.from_pretrained(S,Et);throw Error(`Unsupported model type: ${at}`)}}re(It,"MODEL_CLASS_MAPPINGS",null),re(It,"BASE_IF_FAIL",!1);const wx=new Map([["bert",["BertModel",Ae]],["modernbert",["ModernBertModel",Z]],["nomic_bert",["NomicBertModel",ve]],["roformer",["RoFormerModel",Fe]],["electra",["ElectraModel",cs]],["esm",["EsmModel",Ys]],["convbert",["ConvBertModel",nr]],["camembert",["CamembertModel",us]],["deberta",["DebertaModel",Be]],["deberta-v2",["DebertaV2Model",ps]],["mpnet",["MPNetModel",Tn]],["albert",["AlbertModel",Cn]],["distilbert",["DistilBertModel",Ps]],["roberta",["RobertaModel",ur]],["xlm",["XLMModel",tn]],["xlm-roberta",["XLMRobertaModel",Ba]],["clap",["ClapModel",gM]],["clip",["CLIPModel",Zi]],["clipseg",["CLIPSegModel",nn]],["chinese_clip",["ChineseCLIPModel",rl]],["siglip",["SiglipModel",Ya]],["jina_clip",["JinaCLIPModel",sl]],["mobilebert",["MobileBertModel",br]],["squeezebert",["SqueezeBertModel",cr]],["wav2vec2",["Wav2Vec2Model",Ay]],["wav2vec2-bert",["Wav2Vec2BertModel",Hy]],["unispeech",["UniSpeechModel",Ny]],["unispeech-sat",["UniSpeechSatModel",Vy]],["hubert",["HubertModel",Xy]],["wavlm",["WavLMModel",Zy]],["audio-spectrogram-transformer",["ASTModel",ja]],["vits",["VitsModel",hu]],["pyannote",["PyAnnoteModel",Ly]],["wespeaker-resnet",["WeSpeakerResNetModel",Ry]],["detr",["DetrModel",Il]],["rt_detr",["RTDetrModel",Ol]],["table-transformer",["TableTransformerModel",zl]],["vit",["ViTModel",Go]],["ijepa",["IJepaModel",Ho]],["pvt",["PvtModel",dl]],["vit_msn",["ViTMSNModel",hl]],["vit_mae",["ViTMAEModel",pl]],["groupvit",["GroupViTModel",fl]],["fastvit",["FastViTModel",gl]],["mobilevit",["MobileViTModel",bl]],["mobilevitv2",["MobileViTV2Model",xl]],["owlvit",["OwlViTModel",El]],["owlv2",["Owlv2Model",Cl]],["beit",["BeitModel",$l]],["deit",["DeiTModel",ca]],["hiera",["HieraModel",v]],["convnext",["ConvNextModel",py]],["convnextv2",["ConvNextV2Model",my]],["dinov2",["Dinov2Model",fy]],["dinov2_with_registers",["Dinov2WithRegistersModel",wy]],["resnet",["ResNetModel",W]],["swin",["SwinModel",Ee]],["swin2sr",["Swin2SRModel",gt]],["donut-swin",["DonutSwinModel",uy]],["yolos",["YolosModel",vy]],["dpt",["DPTModel",an]],["glpn",["GLPNModel",ly]],["hifigan",["SpeechT5HifiGan",lM]],["efficientnet",["EfficientNetModel",EM]],["decision_transformer",["DecisionTransformerModel",NM]],["patchtst",["PatchTSTForPrediction",KM]],["patchtsmixer",["PatchTSMixerForPrediction",qM]],["mobilenet_v1",["MobileNetV1Model",CM]],["mobilenet_v2",["MobileNetV2Model",kM]],["mobilenet_v3",["MobileNetV3Model",FM]],["mobilenet_v4",["MobileNetV4Model",LM]],["maskformer",["MaskFormerModel",oy]],["mgp-str",["MgpstrForSceneTextRecognition",GM]],["style_text_to_speech_2",["StyleTextToSpeech2Model",iM]]]),yx=new Map([["t5",["T5Model",de]],["longt5",["LongT5Model",We]],["mt5",["MT5Model",Ze]],["bart",["BartModel",kt]],["mbart",["MBartModel",vr]],["marian",["MarianModel",Sy]],["whisper",["WhisperModel",Va]],["m2m_100",["M2M100Model",ky]],["blenderbot",["BlenderbotModel",Gt]],["blenderbot-small",["BlenderbotSmallModel",Zr]]]),Mx=new Map([["mimi",["MimiModel",e0]],["dac",["DacModel",i0]],["snac",["SnacModel",l0]]]),bx=new Map([["bloom",["BloomModel",Ro]],["jais",["JAISModel",ro]],["gpt2",["GPT2Model",ol]],["gptj",["GPTJModel",lo]],["gpt_bigcode",["GPTBigCodeModel",ll]],["gpt_neo",["GPTNeoModel",no]],["gpt_neox",["GPTNeoXModel",al]],["codegen",["CodeGenModel",In]],["llama",["LlamaModel",ri]],["exaone",["ExaoneModel",mo]],["olmo",["OlmoModel",fo]],["olmo2",["Olmo2Model",wo]],["mobilellm",["MobileLLMModel",_t]],["granite",["GraniteModel",yo]],["cohere",["CohereModel",bo]],["gemma",["GemmaModel",xo]],["gemma2",["Gemma2Model",Eo]],["gemma3_text",["Gemma3Model",Co]],["helium",["HeliumModel",po]],["glm",["GlmModel",ho]],["openelm",["OpenELMModel",$o]],["qwen2",["Qwen2Model",Io]],["phi",["PhiModel",Do]],["phi3",["Phi3Model",zo]],["mpt",["MptModel",jo]],["opt",["OPTModel",Vo]],["mistral",["MistralModel",uM]],["starcoder2",["Starcoder2Model",hM]],["falcon",["FalconModel",_M]],["stablelm",["StableLmModel",xM]]]),Mu=new Map([["speecht5",["SpeechT5ForSpeechToText",oM]],["whisper",["WhisperForConditionalGeneration",Ki]],["lite-whisper",["LiteWhisperForConditionalGeneration",Wa]],["moonshine",["MoonshineForConditionalGeneration",Ga]]]),u0=new Map([["speecht5",["SpeechT5ForTextToSpeech",aM]]]),p0=new Map([["vits",["VitsModel",hu]],["musicgen",["MusicgenForConditionalGeneration",gu]]]),h0=new Map([["bert",["BertForSequenceClassification",Le]],["modernbert",["ModernBertForSequenceClassification",ee]],["roformer",["RoFormerForSequenceClassification",Qe]],["electra",["ElectraForSequenceClassification",jr]],["esm",["EsmForSequenceClassification",en]],["convbert",["ConvBertForSequenceClassification",dr]],["camembert",["CamembertForSequenceClassification",Ts]],["deberta",["DebertaForSequenceClassification",it]],["deberta-v2",["DebertaV2ForSequenceClassification",Er]],["mpnet",["MPNetForSequenceClassification",En]],["albert",["AlbertForSequenceClassification",ue]],["distilbert",["DistilBertForSequenceClassification",qs]],["roberta",["RobertaForSequenceClassification",Jt]],["xlm",["XLMForSequenceClassification",La]],["xlm-roberta",["XLMRobertaForSequenceClassification",Sn]],["bart",["BartForSequenceClassification",Ot]],["mbart",["MBartForSequenceClassification",Yr]],["mobilebert",["MobileBertForSequenceClassification",zs]],["squeezebert",["SqueezeBertForSequenceClassification",Rs]]]),m0=new Map([["bert",["BertForTokenClassification",Ne]],["modernbert",["ModernBertForTokenClassification",ce]],["roformer",["RoFormerForTokenClassification",Xe]],["electra",["ElectraForTokenClassification",dt]],["esm",["EsmForTokenClassification",Lr]],["convbert",["ConvBertForTokenClassification",ds]],["camembert",["CamembertForTokenClassification",Es]],["deberta",["DebertaForTokenClassification",rr]],["deberta-v2",["DebertaV2ForTokenClassification",ms]],["mpnet",["MPNetForTokenClassification",Bs]],["distilbert",["DistilBertForTokenClassification",Qs]],["roberta",["RobertaForTokenClassification",qt]],["xlm",["XLMForTokenClassification",Vi]],["xlm-roberta",["XLMRobertaForTokenClassification",Na]]]),bu=new Map([["t5",["T5ForConditionalGeneration",he]],["longt5",["LongT5ForConditionalGeneration",qe]],["mt5",["MT5ForConditionalGeneration",ht]],["bart",["BartForConditionalGeneration",Wt]],["mbart",["MBartForConditionalGeneration",fr]],["marian",["MarianMTModel",$y]],["m2m_100",["M2M100ForConditionalGeneration",Iy]],["blenderbot",["BlenderbotForConditionalGeneration",Zt]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",ws]]]),vu=new Map([["bloom",["BloomForCausalLM",No]],["gpt2",["GPT2LMHeadModel",Yn]],["jais",["JAISLMHeadModel",so]],["gptj",["GPTJForCausalLM",kn]],["gpt_bigcode",["GPTBigCodeForCausalLM",co]],["gpt_neo",["GPTNeoForCausalLM",io]],["gpt_neox",["GPTNeoXForCausalLM",oo]],["codegen",["CodeGenForCausalLM",Vr]],["llama",["LlamaForCausalLM",uo]],["exaone",["ExaoneForCausalLM",mt]],["olmo",["OlmoForCausalLM",go]],["olmo2",["Olmo2ForCausalLM",li]],["mobilellm",["MobileLLMForCausalLM",_o]],["granite",["GraniteForCausalLM",Mo]],["cohere",["CohereForCausalLM",vo]],["gemma",["GemmaForCausalLM",To]],["gemma2",["Gemma2ForCausalLM",Po]],["gemma3_text",["Gemma3ForCausalLM",So]],["helium",["HeliumForCausalLM",ni]],["glm",["GlmForCausalLM",ft]],["openelm",["OpenELMForCausalLM",ko]],["qwen2",["Qwen2ForCausalLM",Ao]],["phi",["PhiForCausalLM",Lo]],["phi3",["Phi3ForCausalLM",Bo]],["mpt",["MptForCausalLM",Uo]],["opt",["OPTForCausalLM",Wo]],["mbart",["MBartForCausalLM",xr]],["mistral",["MistralForCausalLM",pM]],["starcoder2",["Starcoder2ForCausalLM",mM]],["falcon",["FalconForCausalLM",fM]],["trocr",["TrOCRForCausalLM",cM]],["stablelm",["StableLmForCausalLM",TM]],["phi3_v",["Phi3VForCausalLM",Ns]]]),vx=new Map([["multi_modality",["MultiModalityCausalLM",UM]]]),_0=new Map([["bert",["BertForMaskedLM",Ie]],["modernbert",["ModernBertForMaskedLM",z]],["roformer",["RoFormerForMaskedLM",je]],["electra",["ElectraForMaskedLM",Os]],["esm",["EsmForMaskedLM",Zs]],["convbert",["ConvBertForMaskedLM",jt]],["camembert",["CamembertForMaskedLM",xs]],["deberta",["DebertaForMaskedLM",et]],["deberta-v2",["DebertaV2ForMaskedLM",hs]],["mpnet",["MPNetForMaskedLM",zr]],["albert",["AlbertForMaskedLM",j]],["distilbert",["DistilBertForMaskedLM",Js]],["roberta",["RobertaForMaskedLM",Rt]],["xlm",["XLMWithLMHeadModel",rn]],["xlm-roberta",["XLMRobertaForMaskedLM",Ra]],["mobilebert",["MobileBertForMaskedLM",Ls]],["squeezebert",["SqueezeBertForMaskedLM",_r]]]),f0=new Map([["bert",["BertForQuestionAnswering",Ve]],["roformer",["RoFormerForQuestionAnswering",ut]],["electra",["ElectraForQuestionAnswering",qr]],["convbert",["ConvBertForQuestionAnswering",Fs]],["camembert",["CamembertForQuestionAnswering",Ds]],["deberta",["DebertaForQuestionAnswering",zt]],["deberta-v2",["DebertaV2ForQuestionAnswering",_s]],["mpnet",["MPNetForQuestionAnswering",Fr]],["albert",["AlbertForQuestionAnswering",F]],["distilbert",["DistilBertForQuestionAnswering",Xs]],["roberta",["RobertaForQuestionAnswering",er]],["xlm",["XLMForQuestionAnswering",za]],["xlm-roberta",["XLMRobertaForQuestionAnswering",Wi]],["mobilebert",["MobileBertForQuestionAnswering",Ar]],["squeezebert",["SqueezeBertForQuestionAnswering",Pn]]]),xu=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",qi]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]]]),g0=new Map([["llava",["LlavaForConditionalGeneration",Kn]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",Ha]],["moondream1",["Moondream1ForConditionalGeneration",qa]],["florence2",["Florence2ForConditionalGeneration",Qi]],["qwen2-vl",["Qwen2VLForConditionalGeneration",Oo]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]],["paligemma",["PaliGemmaForConditionalGeneration",Ji]]]),w0=new Map([["ultravox",["UltravoxModel",JM]]]),xx=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",qi]]]),y0=new Map([["vit",["ViTForImageClassification",Ko]],["ijepa",["IJepaForImageClassification",qo]],["pvt",["PvtForImageClassification",cl]],["vit_msn",["ViTMSNForImageClassification",ml]],["fastvit",["FastViTForImageClassification",wl]],["mobilevit",["MobileViTForImageClassification",vl]],["mobilevitv2",["MobileViTV2ForImageClassification",Tl]],["beit",["BeitForImageClassification",kl]],["deit",["DeiTForImageClassification",c]],["hiera",["HieraForImageClassification",C]],["convnext",["ConvNextForImageClassification",hy]],["convnextv2",["ConvNextV2ForImageClassification",_y]],["dinov2",["Dinov2ForImageClassification",gy]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",yy]],["resnet",["ResNetForImageClassification",se]],["swin",["SwinForImageClassification",ze]],["segformer",["SegformerForImageClassification",bM]],["efficientnet",["EfficientNetForImageClassification",PM]],["mobilenet_v1",["MobileNetV1ForImageClassification",SM]],["mobilenet_v2",["MobileNetV2ForImageClassification",IM]],["mobilenet_v3",["MobileNetV3ForImageClassification",OM]],["mobilenet_v4",["MobileNetV4ForImageClassification",zM]]]),M0=new Map([["detr",["DetrForObjectDetection",Al]],["rt_detr",["RTDetrForObjectDetection",Dl]],["table-transformer",["TableTransformerForObjectDetection",Bl]],["yolos",["YolosForObjectDetection",xy]]]),b0=new Map([["owlvit",["OwlViTForObjectDetection",Pl]],["owlv2",["Owlv2ForObjectDetection",Sl]],["grounding-dino",["GroundingDinoForObjectDetection",by]]]),Ei=new Map([["detr",["DetrForSegmentation",ia]],["clipseg",["CLIPSegForImageSegmentation",eo]]]),v0=new Map([["segformer",["SegformerForSemanticSegmentation",vM]],["sapiens",["SapiensForSemanticSegmentation",Jw]],["swin",["SwinForSemanticSegmentation",Ye]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",$M]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",AM]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",DM]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",BM]]]),x0=new Map([["detr",["DetrForSegmentation",ia]],["maskformer",["MaskFormerForInstanceSegmentation",ay]]]),T0=new Map([["sam",["SamModel",Py]]]),E0=new Map([["wav2vec2",["Wav2Vec2ForCTC",Fy]],["wav2vec2-bert",["Wav2Vec2BertForCTC",qy]],["unispeech",["UniSpeechForCTC",jy]],["unispeech-sat",["UniSpeechSatForCTC",Wy]],["wavlm",["WavLMForCTC",eM]],["hubert",["HubertForCTC",Jy]]]),P0=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",Oy]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",Qy]],["unispeech",["UniSpeechForSequenceClassification",Uy]],["unispeech-sat",["UniSpeechSatForSequenceClassification",Gy]],["wavlm",["WavLMForSequenceClassification",tM]],["hubert",["HubertForSequenceClassification",Yy]],["audio-spectrogram-transformer",["ASTForAudioClassification",Ua]]]),C0=new Map([["wavlm",["WavLMForXVector",rM]]]),S0=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",Ky]],["wavlm",["WavLMForAudioFrameClassification",sM]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Dy]],["pyannote",["PyAnnoteForAudioFrameClassification",zy]]]),$0=new Map([["vitmatte",["VitMatteForImageMatting",Ml]]]),Tx=new Map([["patchtst",["PatchTSTForPrediction",HM]],["patchtsmixer",["PatchTSMixerForPrediction",QM]]]),k0=new Map([["swin2sr",["Swin2SRForImageSuperResolution",Bt]]]),I0=new Map([["dpt",["DPTForDepthEstimation",qw]],["depth_anything",["DepthAnythingForDepthEstimation",Xw]],["glpn",["GLPNForDepthEstimation",dy]],["sapiens",["SapiensForDepthEstimation",Yw]],["depth_pro",["DepthProForDepthEstimation",ty]],["metric3d",["Metric3DForDepthEstimation",sy]],["metric3dv2",["Metric3Dv2ForDepthEstimation",iy]]]),A0=new Map([["sapiens",["SapiensForNormalEstimation",Zw]]]),F0=new Map([["vitpose",["VitPoseForPoseEstimation",Xo]]]),O0=new Map([["clip",["CLIPVisionModelWithProjection",Qn]],["siglip",["SiglipVisionModel",el]],["jina_clip",["JinaCLIPVisionModel",il]]]),D0=[[wx,T.EncoderOnly],[yx,T.EncoderDecoder],[bx,T.DecoderOnly],[Mx,T.AutoEncoder],[h0,T.EncoderOnly],[m0,T.EncoderOnly],[bu,T.Seq2Seq],[Mu,T.Seq2Seq],[vu,T.DecoderOnly],[vx,T.MultiModality],[_0,T.EncoderOnly],[f0,T.EncoderOnly],[xu,T.Vision2Seq],[g0,T.ImageTextToText],[w0,T.AudioTextToText],[y0,T.EncoderOnly],[Ei,T.EncoderOnly],[x0,T.EncoderOnly],[v0,T.EncoderOnly],[$0,T.EncoderOnly],[Tx,T.EncoderOnly],[k0,T.EncoderOnly],[I0,T.EncoderOnly],[A0,T.EncoderOnly],[F0,T.EncoderOnly],[M0,T.EncoderOnly],[b0,T.EncoderOnly],[T0,T.MaskGeneration],[E0,T.EncoderOnly],[P0,T.EncoderOnly],[u0,T.Seq2Seq],[p0,T.EncoderOnly],[C0,T.EncoderOnly],[S0,T.EncoderOnly],[O0,T.EncoderOnly]];for(const[x,S]of D0)for(const[L,oe]of x.values())g.set(L,S),E.set(oe,L),M.set(L,oe);const Ex=[["MusicgenForConditionalGeneration",gu,T.Musicgen],["Phi3VForCausalLM",Ns,T.Phi3V],["CLIPTextModelWithProjection",Ja,T.EncoderOnly],["SiglipTextModel",Za,T.EncoderOnly],["JinaCLIPTextModel",nl,T.EncoderOnly],["ClapTextModelWithProjection",wM,T.EncoderOnly],["ClapAudioModelWithProjection",yM,T.EncoderOnly],["DacEncoderModel",o0,T.EncoderOnly],["DacDecoderModel",a0,T.EncoderOnly],["MimiEncoderModel",t0,T.EncoderOnly],["MimiDecoderModel",r0,T.EncoderOnly],["SnacEncoderModel",d0,T.EncoderOnly],["SnacDecoderModel",c0,T.EncoderOnly]];for(const[x,S,L]of Ex)g.set(x,L),E.set(S,x),M.set(x,S);const L0=new Map([["modnet",Ei],["birefnet",Ei],["isnet",Ei],["ben",Ei]]);for(const[x,S]of L0.entries())S.set(x,["PreTrainedModel",U]),g.set(x,T.EncoderOnly),E.set(U,x),M.set(x,U);class Tu extends It{}re(Tu,"MODEL_CLASS_MAPPINGS",D0.map(S=>S[0])),re(Tu,"BASE_IF_FAIL",!0);class z0 extends It{}re(z0,"MODEL_CLASS_MAPPINGS",[h0]);class B0 extends It{}re(B0,"MODEL_CLASS_MAPPINGS",[m0]);class R0 extends It{}re(R0,"MODEL_CLASS_MAPPINGS",[bu]);class N0 extends It{}re(N0,"MODEL_CLASS_MAPPINGS",[Mu]);class j0 extends It{}re(j0,"MODEL_CLASS_MAPPINGS",[u0]);class U0 extends It{}re(U0,"MODEL_CLASS_MAPPINGS",[p0]);class V0 extends It{}re(V0,"MODEL_CLASS_MAPPINGS",[vu]);class W0 extends It{}re(W0,"MODEL_CLASS_MAPPINGS",[_0]);class G0 extends It{}re(G0,"MODEL_CLASS_MAPPINGS",[f0]);class K0 extends It{}re(K0,"MODEL_CLASS_MAPPINGS",[xu]);class H0 extends It{}re(H0,"MODEL_CLASS_MAPPINGS",[y0]);class q0 extends It{}re(q0,"MODEL_CLASS_MAPPINGS",[Ei]);class Q0 extends It{}re(Q0,"MODEL_CLASS_MAPPINGS",[v0]);class X0 extends It{}re(X0,"MODEL_CLASS_MAPPINGS",[x0]);class J0 extends It{}re(J0,"MODEL_CLASS_MAPPINGS",[M0]);class Y0 extends It{}re(Y0,"MODEL_CLASS_MAPPINGS",[b0]);class Z0 extends It{}re(Z0,"MODEL_CLASS_MAPPINGS",[T0]);class eb extends It{}re(eb,"MODEL_CLASS_MAPPINGS",[E0]);class tb extends It{}re(tb,"MODEL_CLASS_MAPPINGS",[P0]);class rb extends It{}re(rb,"MODEL_CLASS_MAPPINGS",[C0]);class sb extends It{}re(sb,"MODEL_CLASS_MAPPINGS",[S0]);class nb extends It{}re(nb,"MODEL_CLASS_MAPPINGS",[xx]);class ib extends It{}re(ib,"MODEL_CLASS_MAPPINGS",[$0]);class ob extends It{}re(ob,"MODEL_CLASS_MAPPINGS",[k0]);class ab extends It{}re(ab,"MODEL_CLASS_MAPPINGS",[I0]);class lb extends It{}re(lb,"MODEL_CLASS_MAPPINGS",[A0]);class db extends It{}re(db,"MODEL_CLASS_MAPPINGS",[F0]);class cb extends It{}re(cb,"MODEL_CLASS_MAPPINGS",[O0]);class ub extends It{}re(ub,"MODEL_CLASS_MAPPINGS",[g0]);class pb extends It{}re(pb,"MODEL_CLASS_MAPPINGS",[w0]);class Px extends pe{constructor({logits:S,past_key_values:L,encoder_outputs:oe,decoder_attentions:fe=null,cross_attentions:me=null}){super(),this.logits=S,this.past_key_values=L,this.encoder_outputs=oe,this.decoder_attentions=fe,this.cross_attentions=me}}class bt extends pe{constructor({logits:S,...L}){super(),this.logits=S;const oe=Object.values(L);oe.length>0&&(this.attentions=oe)}}class hb extends pe{constructor({logits:S,embeddings:L}){super(),this.logits=S,this.embeddings=L}}class pr extends pe{constructor({logits:S}){super(),this.logits=S}}class wr extends pe{constructor({logits:S}){super(),this.logits=S}}class Cr extends pe{constructor({start_logits:S,end_logits:L}){super(),this.start_logits=S,this.end_logits=L}}class Fn extends pe{constructor({logits:S}){super(),this.logits=S}}class Cx extends pe{constructor({logits:S,past_key_values:L}){super(),this.logits=S,this.past_key_values=L}}class mb extends pe{constructor({alphas:S}){super(),this.alphas=S}}class _b extends pe{constructor({waveform:S,spectrogram:L}){super(),this.waveform=S,this.spectrogram=L}}},"./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a);const l=this.config.sampling_rate,d=(0,i.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(l/2),l,null,"kaldi",!0);for(let p=0;p<d.length;++p)d[p].push(0);this.mel_filters=d,this.window=(0,i.window_function)(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(a,l){return(0,i.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,max_num_frames:l,transpose:!0})}async _call(a){(0,s.validate_audio_inputs)(a,"ASTFeatureExtractor");const l=await this._extract_fbank_features(a,this.config.max_length);if(this.config.do_normalize){const d=this.std*2,p=l.data;for(let u=0;u<p.length;++u)p[u]=(p[u]-this.mean)/d}return{input_values:l.unsqueeze_(0)}}}},"./src/models/auto/feature_extraction_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoFeatureExtractor:()=>o});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js");t("./src/base/feature_extraction_utils.js");var n=t("./src/models/feature_extractors.js");class o{static async from_pretrained(l,d={}){const p=await(0,i.getModelJSON)(l,s.FEATURE_EXTRACTOR_NAME,!0,d),u=p.feature_extractor_type,h=n[u];if(!h)throw new Error(`Unknown feature_extractor_type: '${u}'. Please report this at ${s.GITHUB_ISSUE_URL}.`);return new h(p)}}},"./src/models/auto/image_processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoImageProcessor:()=>a});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/image_processors_utils.js"),o=t("./src/models/image_processors.js");class a{static async from_pretrained(d,p={}){const u=await(0,i.getModelJSON)(d,s.IMAGE_PROCESSOR_NAME,!0,p),h=u.image_processor_type??u.feature_extractor_type;let w=o[h];return w||(h!==void 0&&console.warn(`Image processor type '${h}' not found, assuming base ImageProcessor. Please report this at ${s.GITHUB_ISSUE_URL}.`),w=n.ImageProcessor),new w(u)}}},"./src/models/auto/processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoProcessor:()=>d});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/processing_utils.js"),o=t("./src/models/processors.js"),a=t("./src/models/image_processors.js"),l=t("./src/models/feature_extractors.js");class d{static async from_pretrained(u,h={}){const w=await(0,i.getModelJSON)(u,s.IMAGE_PROCESSOR_NAME,!0,h),{image_processor_type:f,feature_extractor_type:P,processor_class:A}=w;if(A&&o[A])return o[A].from_pretrained(u,h);if(!f&&!P)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const b={};if(f){const $=a[f];if(!$)throw new Error(`Unknown image_processor_type: '${f}'.`);b.image_processor=new $(w)}if(P){const $=a[P];if($)b.image_processor=new $(w);else{const T=l[P];if(!T)throw new Error(`Unknown feature_extractor_type: '${P}'.`);b.feature_extractor=new T(w)}}const y={};return new n.Processor(y,b)}}},"./src/models/beit/image_processing_beit.js":(e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/bit/image_processing_bit.js":(e,r,t)=>{t.r(r),t.d(r,{BitImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/chinese_clip/image_processing_chinese_clip.js":(e,r,t)=>{t.r(r),t.d(r,{ChineseCLIPFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/clap/feature_extraction_clap.js":(e,r,t)=>{t.r(r),t.d(r,{ClapFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a),this.mel_filters=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,i.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(a,l,d,p){let u;const h=a.length-l;if(h>0)if(d==="rand_trunc"){const w=Math.floor(Math.random()*(h+1));a=a.subarray(w,w+l),u=await this._extract_fbank_features(a,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${d}" not implemented`);else{if(h<0){let w=new Float64Array(l);if(w.set(a),p==="repeat")for(let f=a.length;f<l;f+=a.length)w.set(a.subarray(0,Math.min(a.length,l-f)),f);else if(p==="repeatpad")for(let f=a.length;f<-h;f+=a.length)w.set(a,f);a=w}if(d==="fusion")throw new Error(`Truncation strategy "${d}" not implemented`);u=await this._extract_fbank_features(a,this.mel_filters_slaney,this.config.nb_max_samples)}return u.unsqueeze_(0)}async _extract_fbank_features(a,l,d=null){return(0,i.spectrogram)(a,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:l,log_mel:"dB",max_num_frames:d,do_pad:!1,transpose:!0})}async _call(a,{max_length:l=null}={}){return(0,s.validate_audio_inputs)(a,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(a,l??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}}},"./src/models/clip/image_processing_clip.js":(e,r,t)=>{t.r(r),t.d(r,{CLIPFeatureExtractor:()=>n,CLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/convnext/image_processing_convnext.js":(e,r,t)=>{t.r(r),t.d(r,{ConvNextFeatureExtractor:()=>n,ConvNextImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(a){super(a),this.crop_pct=this.config.crop_pct??224/256}async resize(a){var d;const l=(d=this.size)==null?void 0:d.shortest_edge;if(l===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(l<384){const p=Math.floor(l/this.crop_pct),[u,h]=this.get_resize_output_image_size(a,{shortest_edge:p});a=await a.resize(u,h,{resample:this.resample}),a=await a.center_crop(l,l)}else a=await a.resize(l,l,{resample:this.resample});return a}}class n extends i{}},"./src/models/dac/feature_extraction_dac.js":(e,r,t)=>{t.r(r),t.d(r,{DacFeatureExtractor:()=>i});var s=t("./src/models/encodec/feature_extraction_encodec.js");class i extends s.EncodecFeatureExtractor{}},"./src/models/deit/image_processing_deit.js":(e,r,t)=>{t.r(r),t.d(r,{DeiTFeatureExtractor:()=>n,DeiTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/detr/image_processing_detr.js":(e,r,t)=>{t.r(r),t.d(r,{DetrFeatureExtractor:()=>o,DetrImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(l){const d=await super._call(l),p=[d.pixel_values.dims[0],64,64],u=(0,i.full)(p,1n);return{...d,pixel_mask:u}}post_process_object_detection(...l){return(0,s.post_process_object_detection)(...l)}post_process_panoptic_segmentation(...l){return(0,s.post_process_panoptic_segmentation)(...l)}post_process_instance_segmentation(...l){return(0,s.post_process_instance_segmentation)(...l)}}class o extends n{}},"./src/models/donut/image_processing_donut.js":(e,r,t)=>{t.r(r),t.d(r,{DonutFeatureExtractor:()=>n,DonutImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{pad_image(a,l,d,p={}){const[u,h,w]=l;let f=this.image_mean;Array.isArray(this.image_mean)||(f=new Array(w).fill(f));let P=this.image_std;Array.isArray(P)||(P=new Array(w).fill(f));const A=f.map((b,y)=>-b/P[y]);return super.pad_image(a,l,d,{center:!0,constant_values:A,...p})}}class n extends i{}},"./src/models/dpt/image_processing_dpt.js":(e,r,t)=>{t.r(r),t.d(r,{DPTFeatureExtractor:()=>n,DPTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/efficientnet/image_processing_efficientnet.js":(e,r,t)=>{t.r(r),t.d(r,{EfficientNetImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super(o),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(a=>a*a))}}},"./src/models/encodec/feature_extraction_encodec.js":(e,r,t)=>{t.r(r),t.d(r,{EncodecFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js");class n extends s.FeatureExtractor{async _call(a){(0,s.validate_audio_inputs)(a,"EncodecFeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));const l=this.config.feature_size;if(a.length%l!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${l}).`);const d=[1,l,a.length/l];return{input_values:new i.Tensor("float32",a,d)}}}},"./src/models/feature_extractors.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>s.ASTFeatureExtractor,ClapFeatureExtractor:()=>n.ClapFeatureExtractor,DacFeatureExtractor:()=>o.DacFeatureExtractor,EncodecFeatureExtractor:()=>i.EncodecFeatureExtractor,ImageFeatureExtractor:()=>P.ImageProcessor,MoonshineFeatureExtractor:()=>a.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>l.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>d.SeamlessM4TFeatureExtractor,SnacFeatureExtractor:()=>p.SnacFeatureExtractor,SpeechT5FeatureExtractor:()=>u.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>h.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>w.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>f.WhisperFeatureExtractor});var s=t("./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js"),i=t("./src/models/encodec/feature_extraction_encodec.js"),n=t("./src/models/clap/feature_extraction_clap.js"),o=t("./src/models/dac/feature_extraction_dac.js"),a=t("./src/models/moonshine/feature_extraction_moonshine.js"),l=t("./src/models/pyannote/feature_extraction_pyannote.js"),d=t("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),p=t("./src/models/snac/feature_extraction_snac.js"),u=t("./src/models/speecht5/feature_extraction_speecht5.js"),h=t("./src/models/wav2vec2/feature_extraction_wav2vec2.js"),w=t("./src/models/wespeaker/feature_extraction_wespeaker.js"),f=t("./src/models/whisper/feature_extraction_whisper.js"),P=t("./src/base/image_processors_utils.js")},"./src/models/florence2/processing_florence2.js":(e,r,t)=>{t.r(r),t.d(r,{Florence2Processor:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{constructor(l,d){super(l,d);const{tasks_answer_post_processing_type:p,task_prompts_without_inputs:u,task_prompts_with_input:h}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(p??{})),this.task_prompts_without_inputs=new Map(Object.entries(u??{})),this.task_prompts_with_input=new Map(Object.entries(h??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(l){typeof l=="string"&&(l=[l]);const d=[];for(const p of l)if(this.task_prompts_without_inputs.has(p))d.push(this.task_prompts_without_inputs.get(p));else{for(const[u,h]of this.task_prompts_with_input)if(p.includes(u)){d.push(h.replaceAll("{input}",p).replaceAll(u,""));break}d.length!==l.length&&d.push(p)}return d}post_process_generation(l,d,p){const u=this.tasks_answer_post_processing_type.get(d)??"pure_text";l=l.replaceAll("<s>","").replaceAll("</s>","");let h;switch(u){case"pure_text":h=l;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const w=u==="ocr"?"quad_boxes":"bboxes",f=l.matchAll(this.regexes[w]),P=[],A=[];for(const[b,y,...$]of f)P.push(y?y.trim():P.at(-1)??""),A.push($.map((T,g)=>(Number(T)+.5)/this.size_per_bin*p[g%2]));h={labels:P,[w]:A};break;default:throw new Error(`Task "${d}" (of type "${u}") not yet implemented.`)}return{[d]:h}}async _call(l,d=null,p={}){if(!l&&!d)throw new Error("Either text or images must be provided");const u=await this.image_processor(l,p),h=d?this.tokenizer(d,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/glpn/image_processing_glpn.js":(e,r,t)=>{t.r(r),t.d(r,{GLPNFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/grounding_dino/image_processing_grounding_dino.js":(e,r,t)=>{t.r(r),t.d(r,{GroundingDinoImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(a){const l=await super._call(a),d=l.pixel_values.dims,p=(0,i.ones)([d[0],d[2],d[3]]);return{...l,pixel_mask:p}}}},"./src/models/grounding_dino/processing_grounding_dino.js":(e,r,t)=>{t.r(r),t.d(r,{GroundingDinoProcessor:()=>l});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/image_processors_utils.js");function a(d,p){const h=d.dims.at(-1)-1,w=d.tolist();w.fill(!1,0,1),w.fill(!1,h);const f=p.tolist();return w.map((P,A)=>P?A:null).filter(P=>P!==null).map(P=>f[P])}class l extends s.Processor{async _call(p,u,h={}){const w=p?await this.image_processor(p,h):{};return{...u?this.tokenizer(u,h):{},...w}}post_process_grounded_object_detection(p,u,{box_threshold:h=.25,text_threshold:w=.25,target_sizes:f=null}={}){const{logits:P,pred_boxes:A}=p,b=P.dims[0];if(f!==null&&f.length!==b)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const y=P.dims.at(1),$=P.sigmoid(),T=$.max(-1).tolist(),g=A.tolist().map(E=>E.map(k=>(0,o.center_to_corners_format)(k))),M=[];for(let E=0;E<b;++E){const k=f!==null?f[E]:null;k!==null&&(g[E]=g[E].map(V=>V.map((Y,H)=>Y*k[(H+1)%2])));const B=T[E],N=[],J=[],q=[];for(let V=0;V<y;++V){const Y=B[V];if(Y<=h)continue;const H=g[E][V],Q=$[E][V];N.push(Y),q.push(H);const ie=a(Q.gt(w),u[E]);J.push(ie)}M.push({scores:N,boxes:q,labels:this.batch_decode(J)})}return M}}re(l,"tokenizer_class",n.AutoTokenizer),re(l,"image_processor_class",i.AutoImageProcessor)},"./src/models/idefics3/image_processing_idefics3.js":(e,r,t)=>{t.r(r),t.d(r,{Idefics3ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{constructor(a){super(a),this.do_image_splitting=a.do_image_splitting??!0,this.max_image_size=a.max_image_size}get_resize_for_vision_encoder(a,l){let[d,p]=a.dims.slice(-2);const u=p/d;return p>=d?(p=Math.ceil(p/l)*l,d=Math.floor(p/u),d=Math.ceil(d/l)*l):(d=Math.ceil(d/l)*l,p=Math.floor(d*u),p=Math.ceil(p/l)*l),{height:d,width:p}}async _call(a,{do_image_splitting:l=null,return_row_col_info:d=!1}={}){let p;if(!Array.isArray(a))p=[[a]];else{if(a.length===0||!a[0])throw new Error("No images provided.");Array.isArray(a[0])?p=a:p=[a]}let u=[],h=[],w=[];const f=[],P=[];for(const E of p){let k=await Promise.all(E.map(J=>this.preprocess(J)));f.push(...k.map(J=>J.original_size)),P.push(...k.map(J=>J.reshaped_input_size)),k.forEach(J=>J.pixel_values.unsqueeze_(0));const{longest_edge:B}=this.max_image_size;let N;if(l??this.do_image_splitting){let J=new Array(k.length),q=new Array(k.length);N=await Promise.all(k.map(async(V,Y)=>{const H=this.get_resize_for_vision_encoder(V.pixel_values,B),Q=await(0,i.interpolate_4d)(V.pixel_values,{size:[H.height,H.width]}),{frames:ie,num_splits_h:le,num_splits_w:ae}=await this.split_image(Q,this.max_image_size);return J[Y]=le,q[Y]=ae,(0,i.cat)(ie,0)})),h.push(J),w.push(q)}else{const J=[B,B];N=await Promise.all(k.map(q=>(0,i.interpolate_4d)(q.pixel_values,{size:J}))),h.push(new Array(k.length).fill(0)),w.push(new Array(k.length).fill(0))}u.push((0,i.cat)(N,0))}const A=u.length,[b,y,$,T]=u[0].dims;let g,M;if(A===1)g=u[0].unsqueeze_(0),M=(0,i.full)([A,b,$,T],!0);else{const E=Math.max(...u.map(N=>N.dims.at(0)));M=(0,i.full)([A,E,$,T],!0);const k=M.data,B=E*$*T;for(let N=0;N<A;++N){const J=u[N].dims[0];if(J<E){u[N]=(0,i.cat)([u[N],(0,i.full)([E-J,y,$,T],0)],0);const q=N*B+J*$*T,V=(N+1)*B;k.fill(!1,q,V)}}g=(0,i.stack)(u,0)}return{pixel_values:g,pixel_attention_mask:M,original_sizes:f,reshaped_input_sizes:P,...d?{rows:h,cols:w}:{}}}async split_image(a,{longest_edge:l}){const d=l,p=l,u=[],[h,w]=a.dims.slice(-2);let f=0,P=0;if(h>d||w>p){f=Math.ceil(h/d),P=Math.ceil(w/p);const A=Math.ceil(h/f),b=Math.ceil(w/P);for(let T=0;T<f;++T)for(let g=0;g<P;++g){let M,E,k,B;T===f-1?(E=h-A,B=h):(E=T*A,B=(T+1)*A),g===P-1?(M=w-b,k=w):(M=g*b,k=(g+1)*b);const N=[E,M],J=[B,k],q=await(0,i.slice)(a,N,J,[2,3]);u.push(q)}const y=d,$=p;(h!==y||w!==$)&&(a=await(0,i.interpolate_4d)(a,{size:[y,$]}))}return u.push(a),{frames:u,num_splits_h:f,num_splits_w:P}}}},"./src/models/idefics3/processing_idefics3.js":(e,r,t)=>{t.r(r),t.d(r,{Idefics3Processor:()=>p});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");t("./src/utils/image.js");var o=t("./src/utils/core.js");function a(u,h,w,f,P,A){let b="";for(let y=0;y<h;++y){for(let $=0;$<w;++$)b+=f+`<row_${y+1}_col_${$+1}>`+P.repeat(u);b+=`
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-${f}${A}`+P.repeat(u)+`${f}`,b}function l(u,h,w,f){return`${h}${f}`+w.repeat(u)+`${h}`}function d(u,h,w,f,P,A){return u===0&&h===0?l(w,f,P,A):a(w,u,h,f,P,A)}class p extends s.Processor{constructor(){super(...arguments);re(this,"fake_image_token","<fake_token_around_image>");re(this,"image_token","<image>");re(this,"global_img_token","<global-img>")}async _call(w,f=null,P={}){P.return_row_col_info??(P.return_row_col_info=!0);let A;f&&(A=await this.image_processor(f,P)),Array.isArray(w)||(w=[w]);const b=A.rows??[new Array(w.length).fill(0)],y=A.cols??[new Array(w.length).fill(0)],$=this.config.image_seq_len,T=[],g=[];for(let E=0;E<w.length;++E){const k=w[E],B=b[E],N=y[E];T.push((0,o.count)(k,this.image_token));const J=B.map((Y,H)=>d(Y,N[H],$,this.fake_image_token,this.image_token,this.global_img_token)),q=k.split(this.image_token);if(q.length===0)throw new Error("The image token should be present in the text.");let V=q[0];for(let Y=0;Y<J.length;++Y)V+=J[Y]+q[Y+1];g.push(V)}return{...this.tokenizer(g),...A}}}re(p,"image_processor_class",i.AutoImageProcessor),re(p,"tokenizer_class",n.AutoTokenizer),re(p,"uses_processor_config",!0)},"./src/models/image_processors.js":(e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>s.BeitFeatureExtractor,BitImageProcessor:()=>i.BitImageProcessor,CLIPFeatureExtractor:()=>o.CLIPFeatureExtractor,CLIPImageProcessor:()=>o.CLIPImageProcessor,ChineseCLIPFeatureExtractor:()=>n.ChineseCLIPFeatureExtractor,ConvNextFeatureExtractor:()=>a.ConvNextFeatureExtractor,ConvNextImageProcessor:()=>a.ConvNextImageProcessor,DPTFeatureExtractor:()=>u.DPTFeatureExtractor,DPTImageProcessor:()=>u.DPTImageProcessor,DeiTFeatureExtractor:()=>l.DeiTFeatureExtractor,DeiTImageProcessor:()=>l.DeiTImageProcessor,DetrFeatureExtractor:()=>d.DetrFeatureExtractor,DetrImageProcessor:()=>d.DetrImageProcessor,DonutFeatureExtractor:()=>p.DonutFeatureExtractor,DonutImageProcessor:()=>p.DonutImageProcessor,EfficientNetImageProcessor:()=>h.EfficientNetImageProcessor,GLPNFeatureExtractor:()=>w.GLPNFeatureExtractor,GroundingDinoImageProcessor:()=>f.GroundingDinoImageProcessor,Idefics3ImageProcessor:()=>P.Idefics3ImageProcessor,JinaCLIPImageProcessor:()=>b.JinaCLIPImageProcessor,LlavaOnevisionImageProcessor:()=>y.LlavaOnevisionImageProcessor,Mask2FormerImageProcessor:()=>$.Mask2FormerImageProcessor,MaskFormerFeatureExtractor:()=>T.MaskFormerFeatureExtractor,MaskFormerImageProcessor:()=>T.MaskFormerImageProcessor,MobileNetV1FeatureExtractor:()=>g.MobileNetV1FeatureExtractor,MobileNetV1ImageProcessor:()=>g.MobileNetV1ImageProcessor,MobileNetV2FeatureExtractor:()=>M.MobileNetV2FeatureExtractor,MobileNetV2ImageProcessor:()=>M.MobileNetV2ImageProcessor,MobileNetV3FeatureExtractor:()=>E.MobileNetV3FeatureExtractor,MobileNetV3ImageProcessor:()=>E.MobileNetV3ImageProcessor,MobileNetV4FeatureExtractor:()=>k.MobileNetV4FeatureExtractor,MobileNetV4ImageProcessor:()=>k.MobileNetV4ImageProcessor,MobileViTFeatureExtractor:()=>B.MobileViTFeatureExtractor,MobileViTImageProcessor:()=>B.MobileViTImageProcessor,NougatImageProcessor:()=>N.NougatImageProcessor,OwlViTFeatureExtractor:()=>q.OwlViTFeatureExtractor,OwlViTImageProcessor:()=>q.OwlViTImageProcessor,Owlv2ImageProcessor:()=>J.Owlv2ImageProcessor,Phi3VImageProcessor:()=>V.Phi3VImageProcessor,PvtImageProcessor:()=>Y.PvtImageProcessor,Qwen2VLImageProcessor:()=>H.Qwen2VLImageProcessor,RTDetrImageProcessor:()=>Q.RTDetrImageProcessor,SamImageProcessor:()=>ie.SamImageProcessor,SegformerFeatureExtractor:()=>le.SegformerFeatureExtractor,SegformerImageProcessor:()=>le.SegformerImageProcessor,SiglipImageProcessor:()=>ae.SiglipImageProcessor,SmolVLMImageProcessor:()=>we.SmolVLMImageProcessor,Swin2SRImageProcessor:()=>R.Swin2SRImageProcessor,VLMImageProcessor:()=>A.VLMImageProcessor,ViTFeatureExtractor:()=>O.ViTFeatureExtractor,ViTImageProcessor:()=>O.ViTImageProcessor,VitMatteImageProcessor:()=>G.VitMatteImageProcessor,VitPoseImageProcessor:()=>ne.VitPoseImageProcessor,YolosFeatureExtractor:()=>X.YolosFeatureExtractor,YolosImageProcessor:()=>X.YolosImageProcessor});var s=t("./src/models/beit/image_processing_beit.js"),i=t("./src/models/bit/image_processing_bit.js"),n=t("./src/models/chinese_clip/image_processing_chinese_clip.js"),o=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"),d=t("./src/models/detr/image_processing_detr.js"),p=t("./src/models/donut/image_processing_donut.js"),u=t("./src/models/dpt/image_processing_dpt.js"),h=t("./src/models/efficientnet/image_processing_efficientnet.js"),w=t("./src/models/glpn/image_processing_glpn.js"),f=t("./src/models/grounding_dino/image_processing_grounding_dino.js"),P=t("./src/models/idefics3/image_processing_idefics3.js"),A=t("./src/models/janus/image_processing_janus.js"),b=t("./src/models/jina_clip/image_processing_jina_clip.js"),y=t("./src/models/llava_onevision/image_processing_llava_onevision.js"),$=t("./src/models/mask2former/image_processing_mask2former.js"),T=t("./src/models/maskformer/image_processing_maskformer.js"),g=t("./src/models/mobilenet_v1/image_processing_mobilenet_v1.js"),M=t("./src/models/mobilenet_v2/image_processing_mobilenet_v2.js"),E=t("./src/models/mobilenet_v3/image_processing_mobilenet_v3.js"),k=t("./src/models/mobilenet_v4/image_processing_mobilenet_v4.js"),B=t("./src/models/mobilevit/image_processing_mobilevit.js"),N=t("./src/models/nougat/image_processing_nougat.js"),J=t("./src/models/owlv2/image_processing_owlv2.js"),q=t("./src/models/owlvit/image_processing_owlvit.js"),V=t("./src/models/phi3_v/image_processing_phi3_v.js"),Y=t("./src/models/pvt/image_processing_pvt.js"),H=t("./src/models/qwen2_vl/image_processing_qwen2_vl.js"),Q=t("./src/models/rt_detr/image_processing_rt_detr.js"),ie=t("./src/models/sam/image_processing_sam.js"),le=t("./src/models/segformer/image_processing_segformer.js"),ae=t("./src/models/siglip/image_processing_siglip.js"),we=t("./src/models/smolvlm/image_processing_smolvlm.js"),R=t("./src/models/swin2sr/image_processing_swin2sr.js"),O=t("./src/models/vit/image_processing_vit.js"),G=t("./src/models/vitmatte/image_processing_vitmatte.js"),ne=t("./src/models/vitpose/image_processing_vitpose.js"),X=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:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super({do_pad:!0,pad_size:{width:o.image_size,height:o.image_size},...o}),this.constant_values=this.config.background_color.map(a=>a*this.rescale_factor)}pad_image(o,a,l,d){return super.pad_image(o,a,l,{constant_values:this.constant_values,center:!0,...d})}}},"./src/models/janus/processing_janus.js":(e,r,t)=>{t.r(r),t.d(r,{VLChatProcessor:()=>d});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/core.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/image.js");class d extends s.Processor{constructor(u,h){super(u,h),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(u,{images:h=null,chat_template:w="default"}={}){h?Array.isArray(h)||(h=[h]):h=await Promise.all(u.filter(N=>N.images).flatMap(N=>N.images).map(N=>l.RawImage.read(N)));const f=this.tokenizer,P=f.apply_chat_template(u,{tokenize:!1,add_generation_prompt:!0,chat_template:w}),A=N=>f.encode(N,{add_special_tokens:!1}),b=P.split(this.image_tag),y=b.length-1;if(h.length!==y)throw new Error(`Number of images provided (${h.length}) does not match number of "${this.image_tag}" image tags (${y})`);const[$,T,g]=f.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let M=A(b[0]),E=new Array(M.length).fill(!1);for(let N=1;N<b.length;++N){const J=new Array(this.num_image_tokens).fill($),q=A(b[N]);M=(0,o.mergeArrays)(M,[T],J,[g],q);const V=new Array(this.num_image_tokens).fill(!0);E=(0,o.mergeArrays)(E,[!1],V,[!1],new Array(q.length).fill(!1))}const k=[1,M.length],B={input_ids:new a.Tensor("int64",M,k),attention_mask:new a.Tensor("int64",new Array(M.length).fill(1),k),images_seq_mask:new a.Tensor("bool",E,k),images_emb_mask:new a.Tensor("bool",new Array(y*this.num_image_tokens).fill(!0),[1,y,this.num_image_tokens])};if(h&&h.length>0){const N=await this.image_processor(h);return N.pixel_values.unsqueeze_(0),{...B,...N}}return B}}re(d,"image_processor_class",i.AutoImageProcessor),re(d,"tokenizer_class",n.AutoTokenizer),re(d,"uses_processor_config",!0)},"./src/models/jina_clip/image_processing_jina_clip.js":(e,r,t)=>{t.r(r),t.d(r,{JinaCLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){const{resize_mode:a,fill_color:l,interpolation:d,size:p,...u}=o,h=a==="squash"?{width:p,height:p}:a==="shortest"?{shortest_edge:p}:{longest_edge:p},w=d==="bicubic"?3:2;super({...u,size:h,resample:w,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:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{async _call(l=null,d=null,p={}){if(!l&&!d)throw new Error("Either text or images must be provided");const u=l?this.tokenizer(l,p):{},h=d?await this.image_processor(d,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/llava_onevision/image_processing_llava_onevision.js":(e,r,t)=>{t.r(r),t.d(r,{LlavaOnevisionImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/mask2former/image_processing_mask2former.js":(e,r,t)=>{t.r(r),t.d(r,{Mask2FormerImageProcessor:()=>i});var s=t("./src/models/maskformer/image_processing_maskformer.js");class i extends s.MaskFormerImageProcessor{}},"./src/models/maskformer/image_processing_maskformer.js":(e,r,t)=>{t.r(r),t.d(r,{MaskFormerFeatureExtractor:()=>n,MaskFormerImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i 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 n extends i{}},"./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"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/maths.js");const a={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class l extends s.Processor{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,u){if(!a.hasOwnProperty(u))throw new Error(`Format ${u} is not supported.`);const[h,w]=a[u],f=this[h].bind(this),[P,A]=p.dims,b=[],y=[],$=p.tolist();for(let g=0;g<P;++g){const M=$[g],E=[],k=[];for(let N=1;N<A;++N){const[J,q]=(0,o.max)((0,o.softmax)(M[N]));if(k.push(J),q==w)break;E.push(q)}const B=k.length>0?k.reduce((N,J)=>N*J,1):0;y.push(E),b.push(B)}return[f(y),b]}char_decode(p){return this.char_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}bpe_decode(p){return this.bpe_tokenizer.batch_decode(p)}wp_decode(p){return this.wp_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}batch_decode([p,u,h]){const[w,f]=this._decode_helper(p,"char"),[P,A]=this._decode_helper(u,"bpe"),[b,y]=this._decode_helper(h,"wp"),$=[],T=[];for(let g=0;g<w.length;++g){const[M,E]=(0,o.max)([f[g],A[g],y[g]]);$.push([w[g],P[g],b[g]][E]),T.push(M)}return{generated_text:$,scores:T,char_preds:w,bpe_preds:P,wp_preds:b}}static async from_pretrained(...p){const u=await super.from_pretrained(...p),h=await n.AutoTokenizer.from_pretrained("Xenova/gpt2"),w=await n.AutoTokenizer.from_pretrained("Xenova/bert-base-uncased");return u.components={image_processor:u.image_processor,char_tokenizer:u.tokenizer,bpe_tokenizer:h,wp_tokenizer:w},u}async _call(p,u=null){const h=await this.image_processor(p);return u&&(h.labels=this.tokenizer(u).input_ids),h}}re(l,"tokenizer_class",n.AutoTokenizer),re(l,"image_processor_class",i.AutoImageProcessor)},"./src/models/mobilenet_v1/image_processing_mobilenet_v1.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV1FeatureExtractor:()=>n,MobileNetV1ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV2FeatureExtractor:()=>n,MobileNetV2ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v3/image_processing_mobilenet_v3.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV3FeatureExtractor:()=>n,MobileNetV3ImageProcessor:()=>i});var 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s=t("./src/models/florence2/processing_florence2.js"),i=t("./src/models/grounding_dino/processing_grounding_dino.js"),n=t("./src/models/idefics3/processing_idefics3.js"),o=t("./src/models/janus/processing_janus.js"),a=t("./src/models/jina_clip/processing_jina_clip.js"),l=t("./src/models/mgp_str/processing_mgp_str.js"),d=t("./src/models/moonshine/processing_moonshine.js"),p=t("./src/models/owlvit/processing_owlvit.js"),u=t("./src/models/phi3_v/processing_phi3_v.js"),h=t("./src/models/paligemma/processing_paligemma.js"),w=t("./src/models/pyannote/processing_pyannote.js"),f=t("./src/models/qwen2_vl/processing_qwen2_vl.js"),P=t("./src/models/sam/processing_sam.js"),A=t("./src/models/smolvlm/processing_smolvlm.js"),b=t("./src/models/speecht5/processing_speecht5.js"),y=t("./src/models/ultravox/processing_ultravox.js"),$=t("./src/models/wav2vec2/processing_wav2vec2.js"),T=t("./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js"),g=t("./src/models/whisper/processing_whisper.js")},"./src/models/pvt/image_processing_pvt.js":(e,r,t)=>{t.r(r),t.d(r,{PvtImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/pyannote/feature_extraction_pyannote.js":(e,r,t)=>{t.r(r),t.d(r,{PyAnnoteFeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js"),n=t("./src/utils/maths.js");class o extends s.FeatureExtractor{async _call(l){(0,s.validate_audio_inputs)(l,"PyAnnoteFeatureExtractor"),l instanceof Float64Array&&(l=new Float32Array(l));const d=[1,1,l.length];return{input_values:new i.Tensor("float32",l,d)}}samples_to_frames(l){return(l-this.config.offset)/this.config.step}post_process_speaker_diarization(l,d){const p=d/this.samples_to_frames(d)/this.config.sampling_rate,u=[];for(const h of l.tolist()){const w=[];let f=-1;for(let P=0;P<h.length;++P){const 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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 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P=(0,s.isONNXProxy)(),A=Object.fromEntries(Object.entries(f).map(([y,$])=>[y,(P?$.clone():$).ort_tensor])),b=await(w=o?w.then(()=>h.run(A)):h.run(A));return Array.isArray(u)?u.map(y=>new i.Tensor(b[y])):new i.Tensor(b[u])}};class l{static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=a([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=a([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=a([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=a([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=a([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=a([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=a([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=a([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}}re(l,"session_options",{})},"./src/pipelines.js":(e,r,t)=>{t.r(r),t.d(r,{AudioClassificationPipeline:()=>q,AutomaticSpeechRecognitionPipeline:()=>Y,BackgroundRemovalPipeline:()=>le,DepthEstimationPipeline:()=>X,DocumentQuestionAnsweringPipeline:()=>O,FeatureExtractionPipeline:()=>N,FillMaskPipeline:()=>$,ImageClassificationPipeline:()=>Q,ImageFeatureExtractionPipeline:()=>J,ImageSegmentationPipeline:()=>ie,ImageToImagePipeline:()=>ne,ImageToTextPipeline:()=>H,ObjectDetectionPipeline:()=>we,Pipeline:()=>P,QuestionAnsweringPipeline:()=>y,SummarizationPipeline:()=>g,Text2TextGenerationPipeline:()=>T,TextClassificationPipeline:()=>A,TextGenerationPipeline:()=>k,TextToAudioPipeline:()=>G,TokenClassificationPipeline:()=>b,TranslationPipeline:()=>M,ZeroShotAudioClassificationPipeline:()=>V,ZeroShotClassificationPipeline:()=>B,ZeroShotImageClassificationPipeline:()=>ae,ZeroShotObjectDetectionPipeline:()=>R,pipeline:()=>ke});var s=t("./src/tokenizers.js"),i=t("./src/models.js"),n=t("./src/models/auto/processing_auto.js");t("./src/base/processing_utils.js");var o=t("./src/utils/generic.js"),a=t("./src/utils/core.js"),l=t("./src/utils/maths.js"),d=t("./src/utils/audio.js"),p=t("./src/utils/tensor.js"),u=t("./src/utils/image.js");async function h(Me){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(K=>u.RawImage.read(K)))}async function w(Me,K){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(U=>typeof U=="string"||U instanceof URL?(0,d.read_audio)(U,K):U instanceof Float64Array?new Float32Array(U):U))}function f(Me,K){K&&(Me=Me.map(Ae=>Ae|0));const[U,pe,Pe,Te]=Me;return{xmin:U,ymin:pe,xmax:Pe,ymax:Te}}class P extends o.Callable{constructor({task:K,model:U,tokenizer:pe=null,processor:Pe=null}){super(),this.task=K,this.model=U,this.tokenizer=pe,this.processor=Pe}async dispose(){await this.model.dispose()}}class A extends P{constructor(K){super(K)}async _call(K,{top_k:U=1}={}){const pe=this.tokenizer(K,{padding:!0,truncation:!0}),Pe=await this.model(pe),Te=this.model.config.problem_type==="multi_label_classification"?Le=>Le.sigmoid():Le=>new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),Ae=this.model.config.id2label,Ie=[];for(const Le of Pe.logits){const Ne=Te(Le),Ve=await(0,p.topk)(Ne,U),D=Ve[0].tolist(),z=Ve[1].tolist().map((ee,ce)=>({label:Ae?Ae[ee]:`LABEL_${ee}`,score:D[ce]}));U===1?Ie.push(...z):Ie.push(z)}return Array.isArray(K)||U===1?Ie:Ie[0]}}class b extends P{constructor(K){super(K)}async _call(K,{ignore_labels:U=["O"]}={}){const pe=Array.isArray(K),Pe=this.tokenizer(pe?K:[K],{padding:!0,truncation:!0}),Ae=(await this.model(Pe)).logits,Ie=this.model.config.id2label,Le=[];for(let Ne=0;Ne<Ae.dims[0];++Ne){const Ve=Pe.input_ids[Ne],D=Ae[Ne],Z=[];for(let z=0;z<D.dims[0];++z){const ee=D[z],ce=(0,l.max)(ee.data)[1],be=Ie?Ie[ce]:`LABEL_${ce}`;if(U.includes(be))continue;const ve=this.tokenizer.decode([Ve[z].item()],{skip_special_tokens:!0});if(ve==="")continue;const Re=(0,l.softmax)(ee.data);Z.push({entity:be,score:Re[ce],index:z,word:ve})}Le.push(Z)}return pe?Le:Le[0]}}class y extends P{constructor(K){super(K)}async _call(K,U,{top_k:pe=1}={}){const Pe=this.tokenizer(K,{text_pair:U,padding:!0,truncation:!0}),{start_logits:Te,end_logits:Ae}=await this.model(Pe),Ie=Pe.input_ids.tolist(),Le=Pe.attention_mask.tolist(),Ne=this.tokenizer.all_special_ids,Ve=[];for(let D=0;D<Te.dims[0];++D){const Z=Ie[D],z=Z.findIndex(Fe=>Fe==this.tokenizer.sep_token_id);Le[D].map((Fe,je)=>Fe==1&&(je===0||je>z&&Ne.findIndex(Qe=>Qe==Z[je])===-1));const ee=Te[D].tolist(),ce=Ae[D].tolist();for(let Fe=1;Fe<ee.length;++Fe)(Le[D]==0||Fe<=z||Ne.findIndex(je=>je==Z[Fe])!==-1)&&(ee[Fe]=-1/0,ce[Fe]=-1/0);const be=(0,l.softmax)(ee).map((Fe,je)=>[Fe,je]),ve=(0,l.softmax)(ce).map((Fe,je)=>[Fe,je]);be[0][0]=0,ve[0][0]=0;const Re=(0,a.product)(be,ve).filter(Fe=>Fe[0][1]<=Fe[1][1]).map(Fe=>[Fe[0][1],Fe[1][1],Fe[0][0]*Fe[1][0]]).sort((Fe,je)=>je[2]-Fe[2]);for(let Fe=0;Fe<Math.min(Re.length,pe);++Fe){const[je,Qe,Xe]=Re[Fe],ut=Z.slice(je,Qe+1),wt=this.tokenizer.decode(ut,{skip_special_tokens:!0});Ve.push({answer:wt,score:Xe})}}return pe===1?Ve[0]:Ve}}class $ extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=this.tokenizer(K,{padding:!0,truncation:!0}),{logits:Pe}=await this.model(pe),Te=[],Ae=pe.input_ids.tolist();for(let Ie=0;Ie<Ae.length;++Ie){const Le=Ae[Ie],Ne=Le.findIndex(ee=>ee==this.tokenizer.mask_token_id);if(Ne===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const Ve=Pe[Ie][Ne],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Ve.data),Ve.dims),U),Z=D[0].tolist(),z=D[1].tolist();Te.push(z.map((ee,ce)=>{const be=Le.slice();return be[Ne]=ee,{score:Z[ce],token:Number(ee),token_str:this.tokenizer.decode([ee]),sequence:this.tokenizer.decode(be,{skip_special_tokens:!0})}}))}return Array.isArray(K)?Te:Te[0]}}class T extends P{constructor(U){super(U);re(this,"_key","generated_text")}async _call(U,pe={}){Array.isArray(U)||(U=[U]),this.model.config.prefix&&(U=U.map(Ne=>this.model.config.prefix+Ne));const Pe=this.model.config.task_specific_params;Pe&&Pe[this.task]&&Pe[this.task].prefix&&(U=U.map(Ne=>Pe[this.task].prefix+Ne));const Te=this.tokenizer,Ae={padding:!0,truncation:!0};let Ie;this instanceof M&&"_build_translation_inputs"in Te?Ie=Te._build_translation_inputs(U,Ae,pe):Ie=Te(U,Ae);const Le=await this.model.generate({...Ie,...pe});return Te.batch_decode(Le,{skip_special_tokens:!0}).map(Ne=>({[this._key]:Ne}))}}class g extends T{constructor(U){super(U);re(this,"_key","summary_text")}}class M extends T{constructor(U){super(U);re(this,"_key","translation_text")}}function E(Me){return Array.isArray(Me)&&Me.every(K=>"role"in K&&"content"in K)}class k extends P{constructor(K){super(K)}async _call(K,U={}){let pe=!1,Pe=!1,Te;if(typeof K=="string")Te=K=[K];else if(Array.isArray(K)&&K.every(z=>typeof z=="string"))pe=!0,Te=K;else{if(E(K))K=[K];else if(Array.isArray(K)&&K.every(E))pe=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");Pe=!0,Te=K.map(z=>this.tokenizer.apply_chat_template(z,{tokenize:!1,add_generation_prompt:!0}))}const Ae=U.add_special_tokens??!1,Ie=Pe?!1:U.return_full_text??!0;this.tokenizer.padding_side="left";const Le=this.tokenizer(Te,{add_special_tokens:Ae,padding:!0,truncation:!0}),Ne=await this.model.generate({...Le,...U}),Ve=this.tokenizer.batch_decode(Ne,{skip_special_tokens:!0});let D;!Ie&&Le.input_ids.dims.at(-1)>0&&(D=this.tokenizer.batch_decode(Le.input_ids,{skip_special_tokens:!0}).map(z=>z.length));const Z=Array.from({length:K.length},z=>[]);for(let z=0;z<Ve.length;++z){const ee=Math.floor(z/Ne.dims[0]*K.length);D&&(Ve[z]=Ve[z].slice(D[ee])),Z[ee].push({generated_text:Pe?[...K[ee],{role:"assistant",content:Ve[z]}]:Ve[z]})}return!pe&&Z.length===1?Z[0]:Z}}class B extends P{constructor(K){super(K),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([U,pe])=>[U.toLowerCase(),pe])),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(K,U,{hypothesis_template:pe="This example is {}.",multi_label:Pe=!1}={}){const Te=Array.isArray(K);Te||(K=[K]),Array.isArray(U)||(U=[U]);const Ae=U.map(Ne=>pe.replace("{}",Ne)),Ie=Pe||U.length===1,Le=[];for(const Ne of K){const Ve=[];for(const z of Ae){const ee=this.tokenizer(Ne,{text_pair:z,padding:!0,truncation:!0}),ce=await this.model(ee);Ie?Ve.push([ce.logits.data[this.contradiction_id],ce.logits.data[this.entailment_id]]):Ve.push(ce.logits.data[this.entailment_id])}const Z=(Ie?Ve.map(z=>(0,l.softmax)(z)[1]):(0,l.softmax)(Ve)).map((z,ee)=>[z,ee]).sort((z,ee)=>ee[0]-z[0]);Le.push({sequence:Ne,labels:Z.map(z=>U[z[1]]),scores:Z.map(z=>z[0])})}return Te?Le:Le[0]}}class N extends P{constructor(K){super(K)}async _call(K,{pooling:U="none",normalize:pe=!1,quantize:Pe=!1,precision:Te="binary"}={}){const Ae=this.tokenizer(K,{padding:!0,truncation:!0}),Ie=await this.model(Ae);let Le=Ie.last_hidden_state??Ie.logits??Ie.token_embeddings;if(U!=="none")if(U==="mean")Le=(0,p.mean_pooling)(Le,Ae.attention_mask);else if(U==="cls")Le=Le.slice(null,0);else throw Error(`Pooling method '${U}' not supported.`);return pe&&(Le=Le.normalize(2,-1)),Pe&&(Le=(0,p.quantize_embeddings)(Le,Te)),Le}}class J extends P{constructor(K){super(K)}async _call(K,{pool:U=null}={}){const pe=await h(K),{pixel_values:Pe}=await this.processor(pe),Te=await this.model({pixel_values:Pe});let Ae;if(U){if(!("pooler_output"in Te))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");Ae=Te.pooler_output}else Ae=Te.last_hidden_state??Te.logits??Te.image_embeds;return Ae}}class q extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=this.processor.feature_extractor.config.sampling_rate,Pe=await w(K,pe),Te=this.model.config.id2label,Ae=[];for(const Ie of Pe){const Le=await this.processor(Ie),Ve=(await this.model(Le)).logits[0],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Ve.data),Ve.dims),U),Z=D[0].tolist(),ee=D[1].tolist().map((ce,be)=>({label:Te?Te[ce]:`LABEL_${ce}`,score:Z[be]}));Ae.push(ee)}return Array.isArray(K)?Ae:Ae[0]}}class V extends P{constructor(K){super(K)}async _call(K,U,{hypothesis_template:pe="This is a sound of {}."}={}){const Pe=!Array.isArray(K);Pe&&(K=[K]);const Te=U.map(Ve=>pe.replace("{}",Ve)),Ae=this.tokenizer(Te,{padding:!0,truncation:!0}),Ie=this.processor.feature_extractor.config.sampling_rate,Le=await w(K,Ie),Ne=[];for(const Ve of Le){const D=await this.processor(Ve),Z=await this.model({...Ae,...D}),z=(0,l.softmax)(Z.logits_per_audio.data);Ne.push([...z].map((ee,ce)=>({score:ee,label:U[ce]})))}return Pe?Ne[0]:Ne}}class Y extends P{constructor(K){super(K)}async _call(K,U={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(K,U);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(K,U);case"moonshine":return this._call_moonshine(K,U);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(K,U){U.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),U.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const pe=!Array.isArray(K);pe&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,Te=await w(K,Pe),Ae=[];for(const Ie of Te){const Le=await this.processor(Ie),Ve=(await this.model(Le)).logits[0],D=[];for(const z of Ve)D.push((0,l.max)(z.data)[1]);const Z=this.tokenizer.decode(D);Ae.push({text:Z})}return pe?Ae[0]:Ae}async _call_whisper(K,U){const pe=U.return_timestamps??!1,Pe=U.chunk_length_s??0,Te=U.force_full_sequences??!1;let Ae=U.stride_length_s??null;const Ie={...U};pe==="word"&&(Ie.return_token_timestamps=!0,Ie.return_timestamps=!1);const Le=!Array.isArray(K);Le&&(K=[K]);const Ne=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,Ve=this.processor.feature_extractor.config.hop_length,D=this.processor.feature_extractor.config.sampling_rate,Z=await w(K,D),z=[];for(const ee of Z){let ce=[];if(Pe>0){if(Ae===null)Ae=Pe/6;else if(Pe<=Ae)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const Re=D*Pe,Fe=D*Ae,je=Re-2*Fe;let Qe=0;for(;;){const Xe=Qe+Re,ut=ee.subarray(Qe,Xe),wt=await this.processor(ut),nr=Qe===0,jt=Xe>=ee.length;if(ce.push({stride:[ut.length,nr?0:Fe,jt?0:Fe],input_features:wt.input_features,is_last:jt}),jt)break;Qe+=je}}else ce=[{stride:[ee.length,0,0],input_features:(await this.processor(ee)).input_features,is_last:!0}];for(const Re of ce){Ie.num_frames=Math.floor(Re.stride[0]/Ve);const Fe=await this.model.generate({inputs:Re.input_features,...Ie});pe==="word"?(Re.tokens=Fe.sequences.tolist()[0],Re.token_timestamps=Fe.token_timestamps.tolist()[0].map(je=>(0,l.round)(je,2))):Re.tokens=Fe[0].tolist(),Re.stride=Re.stride.map(je=>je/D)}const[be,ve]=this.tokenizer._decode_asr(ce,{time_precision:Ne,return_timestamps:pe,force_full_sequences:Te});z.push({text:be,...ve})}return Le?z[0]:z}async _call_moonshine(K,U){const pe=!Array.isArray(K);pe&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,Te=await w(K,Pe),Ae=[];for(const Ie of Te){const Le=await this.processor(Ie),Ne=Math.floor(Ie.length/Pe)*6,Ve=await this.model.generate({max_new_tokens:Ne,...U,...Le}),D=this.processor.batch_decode(Ve,{skip_special_tokens:!0})[0];Ae.push({text:D})}return pe?Ae[0]:Ae}}class H extends P{constructor(K){super(K)}async _call(K,U={}){const pe=Array.isArray(K),Pe=await h(K),{pixel_values:Te}=await this.processor(Pe),Ae=[];for(const Ie of Te){Ie.dims=[1,...Ie.dims];const Le=await this.model.generate({inputs:Ie,...U}),Ne=this.tokenizer.batch_decode(Le,{skip_special_tokens:!0}).map(Ve=>({generated_text:Ve.trim()}));Ae.push(Ne)}return pe?Ae:Ae[0]}}class Q extends P{constructor(K){super(K)}async _call(K,{top_k:U=5}={}){const pe=await h(K),{pixel_values:Pe}=await this.processor(pe),Te=await this.model({pixel_values:Pe}),Ae=this.model.config.id2label,Ie=[];for(const Le of Te.logits){const Ne=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),U),Ve=Ne[0].tolist(),Z=Ne[1].tolist().map((z,ee)=>({label:Ae?Ae[z]:`LABEL_${z}`,score:Ve[ee]}));Ie.push(Z)}return Array.isArray(K)?Ie:Ie[0]}}class ie extends P{constructor(K){super(K),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(K,{threshold:U=.5,mask_threshold:pe=.5,overlap_mask_area_threshold:Pe=.8,label_ids_to_fuse:Te=null,target_sizes:Ae=null,subtask:Ie=null}={}){if(Array.isArray(K)&&K.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const Ne=await h(K),Ve=Ne.map(Re=>[Re.height,Re.width]),D=await this.processor(Ne),{inputNames:Z,outputNames:z}=this.model.sessions.model;if(!Z.includes("pixel_values")){if(Z.length!==1)throw Error(`Expected a single input name, but got ${Z.length} inputs: ${Z}.`);const Re=Z[0];if(Re in D)throw Error(`Input name ${Re} already exists in the inputs.`);D[Re]=D.pixel_values}const ee=await this.model(D);let ce=null;if(Ie!==null)ce=this.subtasks_mapping[Ie];else if(this.processor.image_processor){for(const[Re,Fe]of Object.entries(this.subtasks_mapping))if(Fe in this.processor.image_processor){ce=this.processor.image_processor[Fe].bind(this.processor.image_processor),Ie=Re;break}}const be=this.model.config.id2label,ve=[];if(Ie)if(Ie==="panoptic"||Ie==="instance"){const Re=ce(ee,U,pe,Pe,Te,Ae??Ve)[0],Fe=Re.segmentation;for(const je of Re.segments_info){const Qe=new Uint8ClampedArray(Fe.data.length);for(let ut=0;ut<Fe.data.length;++ut)Fe.data[ut]===je.id&&(Qe[ut]=255);const Xe=new u.RawImage(Qe,Fe.dims[1],Fe.dims[0],1);ve.push({score:je.score,label:be[je.label_id],mask:Xe})}}else if(Ie==="semantic"){const{segmentation:Re,labels:Fe}=ce(ee,Ae??Ve)[0];for(const je of Fe){const Qe=new Uint8ClampedArray(Re.data.length);for(let ut=0;ut<Re.data.length;++ut)Re.data[ut]===je&&(Qe[ut]=255);const Xe=new u.RawImage(Qe,Re.dims[1],Re.dims[0],1);ve.push({score:null,label:be[je],mask:Xe})}}else throw Error(`Subtask ${Ie} not supported.`);else{const Fe=ee[z[0]];for(let je=0;je<Ve.length;++je){const Qe=Ve[je],Xe=Fe[je];Xe.data.some(wt=>wt<-1e-5||wt>1+1e-5)&&Xe.sigmoid_();const ut=await u.RawImage.fromTensor(Xe.mul_(255).to("uint8")).resize(Qe[1],Qe[0]);ve.push({label:null,score:null,mask:ut})}}return ve}}class le extends ie{constructor(K){super(K)}async _call(K,U={}){if(Array.isArray(K)&&K.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const Pe=await h(K),Te=await super._call(K,U);return Pe.map((Ie,Le)=>{const Ne=Ie.clone();return Ne.putAlpha(Te[Le].mask),Ne})}}class ae extends P{constructor(K){super(K)}async _call(K,U,{hypothesis_template:pe="This is a photo of {}"}={}){const Pe=Array.isArray(K),Te=await h(K),Ae=U.map(Z=>pe.replace("{}",Z)),Ie=this.tokenizer(Ae,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:Le}=await this.processor(Te),Ne=await this.model({...Ie,pixel_values:Le}),Ve=this.model.config.model_type==="siglip"?Z=>Z.sigmoid().data:Z=>(0,l.softmax)(Z.data),D=[];for(const Z of Ne.logits_per_image){const ee=[...Ve(Z)].map((ce,be)=>({score:ce,label:U[be]}));ee.sort((ce,be)=>be.score-ce.score),D.push(ee)}return Pe?D:D[0]}}class we extends P{constructor(K){super(K)}async _call(K,{threshold:U=.9,percentage:pe=!1}={}){const Pe=Array.isArray(K);if(Pe&&K.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const Te=await h(K),Ae=pe?null:Te.map(z=>[z.height,z.width]),{pixel_values:Ie,pixel_mask:Le}=await this.processor(Te),Ne=await this.model({pixel_values:Ie,pixel_mask:Le}),Ve=this.processor.image_processor.post_process_object_detection(Ne,U,Ae),D=this.model.config.id2label,Z=Ve.map(z=>z.boxes.map((ee,ce)=>({score:z.scores[ce],label:D[z.classes[ce]],box:f(ee,!pe)})));return Pe?Z:Z[0]}}class R extends P{constructor(K){super(K)}async _call(K,U,{threshold:pe=.1,top_k:Pe=null,percentage:Te=!1}={}){const Ae=Array.isArray(K),Ie=await h(K),Le=this.tokenizer(U,{padding:!0,truncation:!0}),Ne=await this.processor(Ie),Ve=[];for(let D=0;D<Ie.length;++D){const Z=Ie[D],z=Te?null:[[Z.height,Z.width]],ee=Ne.pixel_values[D].unsqueeze_(0),ce=await this.model({...Le,pixel_values:ee});let be;if("post_process_grounded_object_detection"in this.processor){const ve=this.processor.post_process_grounded_object_detection(ce,Le.input_ids,{box_threshold:pe,text_threshold:pe,target_sizes:z})[0];be=ve.boxes.map((Re,Fe)=>({score:ve.scores[Fe],label:ve.labels[Fe],box:f(Re,!Te)}))}else{const ve=this.processor.image_processor.post_process_object_detection(ce,pe,z,!0)[0];be=ve.boxes.map((Re,Fe)=>({score:ve.scores[Fe],label:U[ve.classes[Fe]],box:f(Re,!Te)}))}be.sort((ve,Re)=>Re.score-ve.score),Pe!==null&&(be=be.slice(0,Pe)),Ve.push(be)}return Ae?Ve:Ve[0]}}class O extends P{constructor(K){super(K)}async _call(K,U,pe={}){const Pe=(await h(K))[0],{pixel_values:Te}=await this.processor(Pe),Ae=`<s_docvqa><s_question>${U}</s_question><s_answer>`,Ie=this.tokenizer(Ae,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,Le=await this.model.generate({inputs:Te,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:Ie,...pe}),Ve=this.tokenizer.batch_decode(Le)[0].match(/<s_answer>(.*?)<\/s_answer>/);let D=null;return Ve&&Ve.length>=2&&(D=Ve[1].trim()),[{answer:D}]}}class G extends P{constructor(U){super(U);re(this,"DEFAULT_VOCODER_ID","Xenova/speecht5_hifigan");this.vocoder=U.vocoder??null}async _call(U,{speaker_embeddings:pe=null}={}){return this.processor?this._call_text_to_spectrogram(U,{speaker_embeddings:pe}):this._call_text_to_waveform(U)}async _call_text_to_waveform(U){const pe=this.tokenizer(U,{padding:!0,truncation:!0}),{waveform:Pe}=await this.model(pe),Te=this.model.config.sampling_rate;return new d.RawAudio(Pe.data,Te)}async _call_text_to_spectrogram(U,{speaker_embeddings:pe}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await i.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof pe=="string"||pe instanceof URL)&&(pe=new Float32Array(await(await fetch(pe)).arrayBuffer())),pe instanceof Float32Array)pe=new p.Tensor("float32",pe,[1,pe.length]);else if(!(pe instanceof p.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:Pe}=this.tokenizer(U,{padding:!0,truncation:!0}),{waveform:Te}=await this.model.generate_speech(Pe,pe,{vocoder:this.vocoder}),Ae=this.processor.feature_extractor.config.sampling_rate;return new d.RawAudio(Te.data,Ae)}}class ne extends P{constructor(K){super(K)}async _call(K){const U=await h(K),pe=await this.processor(U),Pe=await this.model(pe),Te=[];for(const Ae of Pe.reconstruction){const Ie=Ae.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");Te.push(u.RawImage.fromTensor(Ie))}return Te.length>1?Te:Te[0]}}class X extends P{constructor(K){super(K)}async _call(K){const U=await h(K),pe=await this.processor(U),{predicted_depth:Pe}=await this.model(pe),Te=[];for(let Ae=0;Ae<U.length;++Ae){const Ie=Pe[Ae],[Le,Ne]=Ie.dims.slice(-2),[Ve,D]=U[Ae].size,Z=(await(0,p.interpolate_4d)(Ie.view(1,1,Le,Ne),{size:[D,Ve],mode:"bilinear"})).view(D,Ve),z=Z.min().item(),ee=Z.max().item(),ce=Z.sub(z).div_(ee-z).mul_(255).to("uint8").unsqueeze(0),be=u.RawImage.fromTensor(ce);Te.push({predicted_depth:Z,depth:be})}return Te.length>1?Te:Te[0]}}const ye=Object.freeze({"text-classification":{tokenizer:s.AutoTokenizer,pipeline:A,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:s.AutoTokenizer,pipeline:b,model:i.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:s.AutoTokenizer,pipeline:y,model:i.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:s.AutoTokenizer,pipeline:$,model:i.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:s.AutoTokenizer,pipeline:g,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:s.AutoTokenizer,pipeline:M,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:s.AutoTokenizer,pipeline:T,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:s.AutoTokenizer,pipeline:k,model:i.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:s.AutoTokenizer,pipeline:B,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:q,model:i.AutoModelForAudioClassification,processor:n.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:s.AutoTokenizer,pipeline:V,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:s.AutoTokenizer,pipeline:Y,model:[i.AutoModelForSpeechSeq2Seq,i.AutoModelForCTC],processor:n.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:s.AutoTokenizer,pipeline:G,model:[i.AutoModelForTextToWaveform,i.AutoModelForTextToSpectrogram],processor:[n.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:s.AutoTokenizer,pipeline:H,model:i.AutoModelForVision2Seq,processor:n.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:Q,model:i.AutoModelForImageClassification,processor:n.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ie,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:le,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/modnet"},type:"image"},"zero-shot-image-classification":{tokenizer:s.AutoTokenizer,pipeline:ae,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:we,model:i.AutoModelForObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:s.AutoTokenizer,pipeline:R,model:i.AutoModelForZeroShotObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:s.AutoTokenizer,pipeline:O,model:i.AutoModelForDocumentQuestionAnswering,processor:n.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:ne,model:i.AutoModelForImageToImage,processor:n.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:X,model:i.AutoModelForDepthEstimation,processor:n.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:s.AutoTokenizer,pipeline:N,model:i.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:n.AutoProcessor,pipeline:J,model:[i.AutoModelForImageFeatureExtraction,i.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),_e=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(Me,K=null,{progress_callback:U=null,config:pe=null,cache_dir:Pe=null,local_files_only:Te=!1,revision:Ae="main",device:Ie=null,dtype:Le=null,subfolder:Ne="onnx",use_external_data_format:Ve=null,model_file_name:D=null,session_options:Z={}}={}){Me=_e[Me]??Me;const z=ye[Me.split("_",1)[0]];if(!z)throw Error(`Unsupported pipeline: ${Me}. Must be one of [${Object.keys(ye)}]`);K||(K=z.default.model,console.log(`No model specified. 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Use `tokenizer.batch_decode(...)` for batched inputs.");return ue.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${F.length}.`)}}function A(ue){return ue.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function b(ue){return ue.replace(new RegExp("\\p{M}","gu"),"")}function y(ue){return b(ue.toLowerCase())}function $(ue){return ue>=19968&&ue<=40959||ue>=13312&&ue<=19903||ue>=131072&&ue<=173791||ue>=173824&&ue<=177983||ue>=177984&&ue<=178207||ue>=178208&&ue<=183983||ue>=63744&&ue<=64255||ue>=194560&&ue<=195103}function T(ue,F,j){const te=[];let de=0;for(;de<ue.length;){if(te.push(ue[de]),(F.get(ue[de])??j)!==j){++de;continue}for(;++de<ue.length&&(F.get(ue[de])??j)===j;)F.get(te.at(-1))!==j&&(te[te.length-1]+=ue[de])}return te}function g(ue){return ue.match(/\S+/g)||[]}const M="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",E=new RegExp(`^[${M}]+$`,"gu"),k=".,!?…。，、।۔،",B=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"],[` ?[^(\\s|[${k}])]+`,` ?[^\\s${k}]+`]]);class N{constructor(F){this.content=F.content,this.id=F.id,this.single_word=F.single_word??!1,this.lstrip=F.lstrip??!1,this.rstrip=F.rstrip??!1,this.special=F.special??!1,this.normalized=F.normalized??null}}class J extends s.Callable{constructor(F){super(),this.config=F,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(F,...j){switch(F.type){case"WordPiece":return new q(F);case"Unigram":return new V(F,...j);case"BPE":return new Q(F);default:if(F.vocab)return Array.isArray(F.vocab)?new V(F,...j):typeof F.vocab=="object"&&F.continuing_subword_prefix&&F.unk_token?new q(F):new ie(F,...j);throw new Error(`Unknown TokenizerModel type: ${F.type}`)}}_call(F){return F=this.encode(F),this.fuse_unk&&(F=T(F,this.tokens_to_ids,this.unk_token_id)),F}encode(F){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(F){return F.map(j=>this.tokens_to_ids.get(j)??this.unk_token_id)}convert_ids_to_tokens(F){return F.map(j=>this.vocab[j]??this.unk_token)}}class q extends J{constructor(F){super(F),this.tokens_to_ids=f(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.max_input_chars_per_word=F.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[j,te]of this.tokens_to_ids)this.vocab[te]=j}encode(F){const j=[];for(const te of F){const de=[...te];if(de.length>this.max_input_chars_per_word){j.push(this.unk_token);continue}let he=!1,Ce=0;const We=[];for(;Ce<de.length;){let qe=de.length,Ke=null;for(;Ce<qe;){let Ze=de.slice(Ce,qe).join("");if(Ce>0&&(Ze=this.config.continuing_subword_prefix+Ze),this.tokens_to_ids.has(Ze)){Ke=Ze;break}--qe}if(Ke===null){he=!0;break}We.push(Ke),Ce=qe}he?j.push(this.unk_token):j.push(...We)}return j}}class V extends J{constructor(F,j){super(F);const te=F.vocab.length;this.vocab=new Array(te),this.scores=new Array(te);for(let de=0;de<te;++de)[this.vocab[de],this.scores[de]]=F.vocab[de];this.unk_token_id=F.unk_id,this.unk_token=this.vocab[F.unk_id],this.tokens_to_ids=new Map(this.vocab.map((de,he)=>[de,he])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=j.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,o.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(F){const j=F.chars,te=1;let de=0;for(;de<j.length;){let he=!1;const Ce=j.slice(de).join(""),We=this.trie.commonPrefixSearch(Ce);for(const qe of We){const Ke=this.tokens_to_ids.get(qe),Ze=this.scores[Ke],ht=(0,i.len)(qe);F.insert(de,ht,Ze,Ke),!he&&ht===te&&(he=!0)}he||F.insert(de,te,this.unk_score,this.unk_token_id),de+=te}}tokenize(F){const j=new l.TokenLattice(F,this.bos_token_id,this.eos_token_id);return this.populateNodes(j),j.tokens()}encode(F){const j=[];for(const te of F){const de=this.tokenize(te);j.push(...de)}return j}}const Y=(()=>{const ue=[...Array.from({length:94},(de,he)=>he+33),...Array.from({length:12},(de,he)=>he+161),...Array.from({length:82},(de,he)=>he+174)],F=ue.slice();let j=0;for(let de=0;de<256;++de)ue.includes(de)||(ue.push(de),F.push(256+j),j+=1);const te=F.map(de=>String.fromCharCode(de));return Object.fromEntries(ue.map((de,he)=>[de,te[he]]))})(),H=(0,i.reverseDictionary)(Y);class Q extends J{constructor(F){super(F),this.tokens_to_ids=f(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[te,de]of this.tokens_to_ids)this.vocab[de]=te;const j=Array.isArray(F.merges[0]);this.merges=j?F.merges:F.merges.map(te=>te.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((te,de)=>[JSON.stringify(te),de])),this.end_of_word_suffix=F.end_of_word_suffix,this.continuing_subword_suffix=F.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.cache=new Map}bpe(F){if(F.length===0)return[];const j=this.cache.get(F);if(j!==void 0)return j;const te=Array.from(F);this.end_of_word_suffix&&(te[te.length-1]+=this.end_of_word_suffix);let de=[];if(te.length>1){const he=new l.PriorityQueue((qe,Ke)=>qe.score<Ke.score);let Ce={token:te[0],bias:0,prev:null,next:null},We=Ce;for(let qe=1;qe<te.length;++qe){const Ke={bias:qe/te.length,token:te[qe],prev:We,next:null};We.next=Ke,this._add_node(he,We),We=Ke}for(;!he.isEmpty();){const qe=he.pop();if(qe.deleted||!qe.next||qe.next.deleted)continue;if(qe.deleted=!0,qe.next.deleted=!0,qe.prev){const Ze={...qe.prev};qe.prev.deleted=!0,qe.prev=Ze,Ze.prev?Ze.prev.next=Ze:Ce=Ze}const Ke={token:qe.token+qe.next.token,bias:qe.bias,prev:qe.prev,next:qe.next.next};Ke.prev?(Ke.prev.next=Ke,this._add_node(he,Ke.prev)):Ce=Ke,Ke.next&&(Ke.next.prev=Ke,this._add_node(he,Ke))}for(let qe=Ce;qe!==null;qe=qe.next)de.push(qe.token)}else de=te;if(this.continuing_subword_suffix)for(let he=0;he<de.length-1;++he)de[he]+=this.continuing_subword_suffix;return this.cache.set(F,de),de}_add_node(F,j){const te=this.bpe_ranks.get(JSON.stringify([j.token,j.next.token]));te!==void 0&&(j.score=te+j.bias,F.push(j))}encode(F){const j=[];for(const te of F){if(this.ignore_merges&&this.tokens_to_ids.has(te)){j.push(te);continue}const de=this.bpe(te);for(const he of de)if(this.tokens_to_ids.has(he))j.push(he);else if(this.byte_fallback){const Ce=Array.from(this.text_encoder.encode(he)).map(We=>`<0x${We.toString(16).toUpperCase().padStart(2,"0")}>`);Ce.every(We=>this.tokens_to_ids.has(We))?j.push(...Ce):j.push(this.unk_token)}else j.push(this.unk_token)}return j}}class ie extends J{constructor(F,j){super(F),this.tokens_to_ids=f(j.target_lang?F.vocab[j.target_lang]:F.vocab),this.bos_token=j.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=j.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=j.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=j.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[te,de]of this.tokens_to_ids)this.vocab[de]=te}encode(F){return F}}class le extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"BertNormalizer":return new Me(F);case"Precompiled":return new jt(F);case"Sequence":return new He(F);case"Replace":return new ae(F);case"NFC":return new R(F);case"NFD":return new O(F);case"NFKC":return new G(F);case"NFKD":return new ne(F);case"Strip":return new X(F);case"StripAccents":return new ye(F);case"Lowercase":return new _e(F);case"Prepend":return new ke(F);default:throw new Error(`Unknown Normalizer type: ${F.type}`)}}normalize(F){throw Error("normalize should be implemented in subclass.")}_call(F){return this.normalize(F)}}class ae extends le{normalize(F){const j=w(this.config.pattern);return j===null?F:F.replaceAll(j,this.config.content)}}class we extends le{constructor(){super(...arguments);re(this,"form")}normalize(j){return j=j.normalize(this.form),j}}class R extends we{constructor(){super(...arguments);re(this,"form","NFC")}}class O extends we{constructor(){super(...arguments);re(this,"form","NFD")}}class G extends we{constructor(){super(...arguments);re(this,"form","NFKC")}}class ne extends we{constructor(){super(...arguments);re(this,"form","NFKD")}}class X extends le{normalize(F){return this.config.strip_left&&this.config.strip_right?F=F.trim():(this.config.strip_left&&(F=F.trimStart()),this.config.strip_right&&(F=F.trimEnd())),F}}class ye extends le{normalize(F){return F=b(F),F}}class _e extends le{normalize(F){return F=F.toLowerCase(),F}}class ke extends le{normalize(F){return F=this.config.prepend+F,F}}class He extends le{constructor(F){super(F),this.normalizers=F.normalizers.map(j=>le.fromConfig(j))}normalize(F){return this.normalizers.reduce((j,te)=>te.normalize(j),F)}}class Me extends le{_tokenize_chinese_chars(F){const j=[];for(let te=0;te<F.length;++te){const de=F[te],he=de.charCodeAt(0);$(he)?(j.push(" "),j.push(de),j.push(" ")):j.push(de)}return j.join("")}stripAccents(F){return F.normalize("NFD").replace(new RegExp("\\p{Mn}","gu"),"")}_is_control(F){switch(F){case"	":case`
-`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test(F)}}_clean_text(F){const j=[];for(const te of F){const de=te.charCodeAt(0);de===0||de===65533||this._is_control(te)||(/^\s$/.test(te)?j.push(" "):j.push(te))}return j.join("")}normalize(F){return this.config.clean_text&&(F=this._clean_text(F)),this.config.handle_chinese_chars&&(F=this._tokenize_chinese_chars(F)),this.config.lowercase?(F=F.toLowerCase(),this.config.strip_accents!==!1&&(F=this.stripAccents(F))):this.config.strip_accents&&(F=this.stripAccents(F)),F}}class K extends s.Callable{static fromConfig(F){if(F===null)return null;switch(F.type){case"BertPreTokenizer":return new U(F);case"Sequence":return new dr(F);case"Whitespace":return new ds(F);case"WhitespaceSplit":return new Fs(F);case"Metaspace":return new wt(F);case"ByteLevel":return new pe(F);case"Split":return new Pe(F);case"Punctuation":return new Te(F);case"Digits":return new Ae(F);case"Replace":return new Dr(F);default:throw new Error(`Unknown PreTokenizer type: ${F.type}`)}}pre_tokenize_text(F,j){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(F,j){return(Array.isArray(F)?F.map(te=>this.pre_tokenize_text(te,j)):this.pre_tokenize_text(F,j)).flat()}_call(F,j){return this.pre_tokenize(F,j)}}class U extends K{constructor(F){super(),this.pattern=new RegExp(`[^\\s${M}]+|[${M}]`,"gu")}pre_tokenize_text(F,j){return F.trim().match(this.pattern)||[]}}class pe extends K{constructor(F){super(),this.config=F,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Y,this.text_encoder=new TextEncoder}pre_tokenize_text(F,j){return this.add_prefix_space&&!F.startsWith(" ")&&(F=" "+F),(this.use_regex?F.match(this.pattern)||[]:[F]).map(de=>Array.from(this.text_encoder.encode(de),he=>this.byte_encoder[he]).join(""))}}class Pe extends K{constructor(F){super(),this.config=F,this.pattern=w(this.config.pattern,this.config.invert)}pre_tokenize_text(F,j){var te;return this.pattern===null?[]:this.config.invert?F.match(this.pattern)||[]:((te=this.config.behavior)==null?void 0:te.toLowerCase())==="removed"?F.split(this.pattern).filter(de=>de):h(F,this.pattern)}}class Te extends K{constructor(F){super(),this.config=F,this.pattern=new RegExp(`[^${M}]+|[${M}]+`,"gu")}pre_tokenize_text(F,j){return F.match(this.pattern)||[]}}class Ae extends K{constructor(F){super(),this.config=F;const j=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(j,"gu")}pre_tokenize_text(F,j){return F.match(this.pattern)||[]}}class Ie extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"TemplateProcessing":return new Ve(F);case"ByteLevel":return new D(F);case"RobertaProcessing":return new Ne(F);case"BertProcessing":return new Le(F);case"Sequence":return new Z(F);default:throw new Error(`Unknown PostProcessor type: ${F.type}`)}}post_process(F,...j){throw Error("post_process should be implemented in subclass.")}_call(F,...j){return this.post_process(F,...j)}}class Le extends Ie{constructor(F){super(F),this.cls=F.cls[0],this.sep=F.sep[0]}post_process(F,j=null,{add_special_tokens:te=!0}={}){te&&(F=(0,i.mergeArrays)([this.cls],F,[this.sep]));let de=new Array(F.length).fill(0);if(j!==null){const he=te&&this instanceof Ne?[this.sep]:[],Ce=te?[this.sep]:[];F=(0,i.mergeArrays)(F,he,j,Ce),de=(0,i.mergeArrays)(de,new Array(j.length+he.length+Ce.length).fill(1))}return{tokens:F,token_type_ids:de}}}class Ne extends Le{}class Ve extends Ie{constructor(F){super(F),this.single=F.single,this.pair=F.pair}post_process(F,j=null,{add_special_tokens:te=!0}={}){const de=j===null?this.single:this.pair;let he=[],Ce=[];for(const We of de)"SpecialToken"in We?te&&(he.push(We.SpecialToken.id),Ce.push(We.SpecialToken.type_id)):"Sequence"in We&&(We.Sequence.id==="A"?(he=(0,i.mergeArrays)(he,F),Ce=(0,i.mergeArrays)(Ce,new Array(F.length).fill(We.Sequence.type_id))):We.Sequence.id==="B"&&(he=(0,i.mergeArrays)(he,j),Ce=(0,i.mergeArrays)(Ce,new Array(j.length).fill(We.Sequence.type_id))));return{tokens:he,token_type_ids:Ce}}}class D extends Ie{post_process(F,j=null){return j&&(F=(0,i.mergeArrays)(F,j)),{tokens:F}}}class Z extends Ie{constructor(F){super(F),this.processors=F.processors.map(j=>Ie.fromConfig(j))}post_process(F,j=null,te={}){let de;for(const he of this.processors)if(he instanceof D)F=he.post_process(F).tokens,j&&(j=he.post_process(j).tokens);else{const Ce=he.post_process(F,j,te);F=Ce.tokens,de=Ce.token_type_ids}return{tokens:F,token_type_ids:de}}}class z extends s.Callable{constructor(F){super(),this.config=F,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=F.trim_offsets}static fromConfig(F){if(F===null)return null;switch(F.type){case"WordPiece":return new Re(F);case"Metaspace":return new nr(F);case"ByteLevel":return new Fe(F);case"Replace":return new ee(F);case"ByteFallback":return new ce(F);case"Fuse":return new be(F);case"Strip":return new ve(F);case"Sequence":return new Qe(F);case"CTC":return new je(F);case"BPEDecoder":return new Xe(F);default:throw new Error(`Unknown Decoder type: ${F.type}`)}}_call(F){return this.decode(F)}decode(F){return this.decode_chain(F).join("")}decode_chain(F){throw Error("`decode_chain` should be implemented in subclass.")}}class ee extends z{decode_chain(F){const j=w(this.config.pattern);return j===null?F:F.map(te=>te.replaceAll(j,this.config.content))}}class ce extends z{constructor(F){super(F),this.text_decoder=new TextDecoder}decode_chain(F){const j=[];let te=[];for(const de of F){let he=null;if(de.length===6&&de.startsWith("<0x")&&de.endsWith(">")){const Ce=parseInt(de.slice(3,5),16);isNaN(Ce)||(he=Ce)}if(he!==null)te.push(he);else{if(te.length>0){const Ce=this.text_decoder.decode(Uint8Array.from(te));j.push(Ce),te=[]}j.push(de)}}if(te.length>0){const de=this.text_decoder.decode(Uint8Array.from(te));j.push(de),te=[]}return j}}class be extends z{decode_chain(F){return[F.join("")]}}class ve extends z{constructor(F){super(F),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(F){return F.map(j=>{let te=0;for(let he=0;he<this.start&&j[he]===this.content;++he){te=he+1;continue}let de=j.length;for(let he=0;he<this.stop;++he){const Ce=j.length-he-1;if(j[Ce]===this.content){de=Ce;continue}else break}return j.slice(te,de)})}}class Re extends z{constructor(F){super(F),this.cleanup=F.cleanup}decode_chain(F){return F.map((j,te)=>(te!==0&&(j.startsWith(this.config.prefix)?j=j.replace(this.config.prefix,""):j=" "+j),this.cleanup&&(j=A(j)),j))}}class Fe extends z{constructor(F){super(F),this.byte_decoder=H,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(F){const j=F.join(""),te=new Uint8Array([...j].map(he=>this.byte_decoder[he]));return this.text_decoder.decode(te)}decode_chain(F){const j=[];let te=[];for(const de of F)this.added_tokens.find(he=>he.content===de)!==void 0?(te.length>0&&(j.push(this.convert_tokens_to_string(te)),te=[]),j.push(de)):te.push(de);return te.length>0&&j.push(this.convert_tokens_to_string(te)),j}}class je extends z{constructor(F){super(F),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(F){if(F.length===0)return"";const j=[F[0]];for(let he=1;he<F.length;++he)F[he]!==j.at(-1)&&j.push(F[he]);let de=j.filter(he=>he!==this.pad_token).join("");return this.cleanup&&(de=A(de).replaceAll(this.word_delimiter_token," ").trim()),de}decode_chain(F){return[this.convert_tokens_to_string(F)]}}class Qe extends z{constructor(F){super(F),this.decoders=F.decoders.map(j=>z.fromConfig(j))}decode_chain(F){return this.decoders.reduce((j,te)=>te.decode_chain(j),F)}}class Xe extends z{constructor(F){super(F),this.suffix=this.config.suffix}decode_chain(F){return F.map((j,te)=>j.replaceAll(this.suffix,te===F.length-1?"":" "))}}class ut extends z{decode_chain(F){let j="";for(let te=1;te<F.length;te+=2)j+=F[te];return[j]}}class wt extends K{constructor(F){super(),this.addPrefixSpace=F.add_prefix_space,this.replacement=F.replacement,this.strRep=F.str_rep||this.replacement,this.prepend_scheme=F.prepend_scheme??"always"}pre_tokenize_text(F,{section_index:j=void 0}={}){let te=F.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!te.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&j===0)&&(te=this.strRep+te),[te]}}class nr extends z{constructor(F){super(F),this.addPrefixSpace=F.add_prefix_space,this.replacement=F.replacement}decode_chain(F){const j=[];for(let te=0;te<F.length;++te){let de=F[te].replaceAll(this.replacement," ");this.addPrefixSpace&&te==0&&de.startsWith(" ")&&(de=de.substring(1)),j.push(de)}return j}}class jt extends le{constructor(F){super(F),this.charsmap=F.precompiled_charsmap}normalize(F){return F=F.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),F=F.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),F.includes("～")?F=F.split("～").map(te=>te.normalize("NFKC")).join("～"):F=F.normalize("NFKC"),F}}class dr extends K{constructor(F){super(),this.tokenizers=F.pretokenizers.map(j=>K.fromConfig(j))}pre_tokenize_text(F,j){return this.tokenizers.reduce((te,de)=>de.pre_tokenize(te,j),[F])}}class ds extends K{constructor(F){super()}pre_tokenize_text(F,j){return F.match(/\w+|[^\w\s]+/g)||[]}}class Fs extends K{constructor(F){super()}pre_tokenize_text(F,j){return g(F)}}class Dr extends K{constructor(F){super(),this.config=F,this.pattern=w(this.config.pattern),this.content=this.config.content}pre_tokenize_text(F,j){return this.pattern===null?[F]:[F.replaceAll(this.pattern,this.config.content)]}}const cs=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function Os(ue,F,j,te){for(const de of Object.keys(ue)){const he=F-ue[de].length,Ce=j(de),We=new Array(he).fill(Ce);ue[de]=te==="right"?(0,i.mergeArrays)(ue[de],We):(0,i.mergeArrays)(We,ue[de])}}function jr(ue,F){for(const j of Object.keys(ue))ue[j].length=F}class dt extends s.Callable{constructor(j,te){super();re(this,"return_token_type_ids",!1);re(this,"padding_side","right");this._tokenizer_config=te,this.normalizer=le.fromConfig(j.normalizer),this.pre_tokenizer=K.fromConfig(j.pre_tokenizer),this.model=J.fromConfig(j.model,te),this.post_processor=Ie.fromConfig(j.post_processor),this.decoder=z.fromConfig(j.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const de of j.added_tokens){const he=new N(de);this.added_tokens.push(he),this.model.tokens_to_ids.set(he.content,he.id),this.model.vocab[he.id]=he.content,he.special&&(this.special_tokens.push(he.content),this.all_special_ids.push(he.id))}if(this.additional_special_tokens=te.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_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.slice().sort((de,he)=>he.content.length-de.content.length).map(de=>`${de.lstrip?"\\s*":""}(${(0,i.escapeRegExp)(de.content)})${de.rstrip?"\\s*":""}`).join("|")):null,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=te.model_max_length,this.remove_space=te.remove_space,this.clean_up_tokenization_spaces=te.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=te.do_lowercase_and_remove_accent??!1,te.padding_side&&(this.padding_side=te.padding_side),this.legacy=!1,this.chat_template=te.chat_template??null,Array.isArray(this.chat_template)){const de=Object.create(null);for(const{name:he,template:Ce}of this.chat_template){if(typeof he!="string"||typeof Ce!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');de[he]=Ce}this.chat_template=de}this._compiled_template_cache=new Map}getToken(...j){for(const te of j){const de=this._tokenizer_config[te];if(de)if(typeof de=="object"){if(de.__type==="AddedToken")return de.content;throw Error(`Unknown token: ${de}`)}else return de}return null}static async from_pretrained(j,{progress_callback:te=null,config:de=null,cache_dir:he=null,local_files_only:Ce=!1,revision:We="main",legacy:qe=null}={}){const Ke=await u(j,{progress_callback:te,config:de,cache_dir:he,local_files_only:Ce,revision:We,legacy:qe});return new this(...Ke)}_call(j,{text_pair:te=null,add_special_tokens:de=!0,padding:he=!1,truncation:Ce=null,max_length:We=null,return_tensor:qe=!0,return_token_type_ids:Ke=null}={}){const Ze=Array.isArray(j);let ht;if(Ze){if(j.length===0)throw Error("text array must be non-empty");if(te!==null){if(Array.isArray(te)){if(j.length!==te.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");ht=j.map((kt,Wt)=>this._encode_plus(kt,{text_pair:te[Wt],add_special_tokens:de,return_token_type_ids:Ke}))}else ht=j.map(kt=>this._encode_plus(kt,{add_special_tokens:de,return_token_type_ids:Ke}))}else{if(j==null)throw Error("text may not be null or undefined");if(Array.isArray(te))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");ht=[this._encode_plus(j,{text_pair:te,add_special_tokens:de,return_token_type_ids:Ke})]}if(We===null?he==="max_length"?We=this.model_max_length:We=(0,o.max)(ht.map(kt=>kt.input_ids.length))[0]:Ce||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."),We=Math.min(We,this.model_max_length??1/0),he||Ce)for(let kt=0;kt<ht.length;++kt)ht[kt].input_ids.length!==We&&(ht[kt].input_ids.length>We?Ce&&jr(ht[kt],We):he&&Os(ht[kt],We,Wt=>Wt==="input_ids"?this.pad_token_id:0,this.padding_side));const Ct={};if(qe){if(!(he&&Ce)&&ht.some(Wt=>{var Ot;for(const Ut of Object.keys(Wt))if(Wt[Ut].length!==((Ot=ht[0][Ut])==null?void 0:Ot.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 kt=[ht.length,ht[0].input_ids.length];for(const Wt of Object.keys(ht[0]))Ct[Wt]=new a.Tensor("int64",BigInt64Array.from(ht.flatMap(Ot=>Ot[Wt]).map(BigInt)),kt)}else{for(const kt of Object.keys(ht[0]))Ct[kt]=ht.map(Wt=>Wt[kt]);if(!Ze)for(const kt of Object.keys(Ct))Ct[kt]=Ct[kt][0]}return Ct}_encode_text(j){return j===null?null:(this.added_tokens_regex?j.split(this.added_tokens_regex).filter(he=>he):[j]).map((he,Ce)=>{if(this.added_tokens.find(qe=>qe.content===he)!==void 0)return he;{if(this.remove_space===!0&&(he=he.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(he=y(he)),this.normalizer!==null&&(he=this.normalizer(he)),he.length===0)return[];const qe=this.pre_tokenizer!==null?this.pre_tokenizer(he,{section_index:Ce}):[he];return this.model(qe)}}).flat()}_encode_plus(j,{text_pair:te=null,add_special_tokens:de=!0,return_token_type_ids:he=null}={}){const{tokens:Ce,token_type_ids:We}=this._tokenize_helper(j,{pair:te,add_special_tokens:de}),qe=this.model.convert_tokens_to_ids(Ce),Ke={input_ids:qe,attention_mask:new Array(qe.length).fill(1)};return(he??this.return_token_type_ids)&&We&&(Ke.token_type_ids=We),Ke}_tokenize_helper(j,{pair:te=null,add_special_tokens:de=!1}={}){const he=this._encode_text(j),Ce=this._encode_text(te);return this.post_processor?this.post_processor(he,Ce,{add_special_tokens:de}):{tokens:(0,i.mergeArrays)(he??[],Ce??[])}}tokenize(j,{pair:te=null,add_special_tokens:de=!1}={}){return this._tokenize_helper(j,{pair:te,add_special_tokens:de}).tokens}encode(j,{text_pair:te=null,add_special_tokens:de=!0,return_token_type_ids:he=null}={}){return this._encode_plus(j,{text_pair:te,add_special_tokens:de,return_token_type_ids:he}).input_ids}batch_decode(j,te={}){return j instanceof a.Tensor&&(j=j.tolist()),j.map(de=>this.decode(de,te))}decode(j,te={}){if(j instanceof a.Tensor&&(j=P(j)),!Array.isArray(j)||j.length===0||!(0,i.isIntegralNumber)(j[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(j,te)}decode_single(j,{skip_special_tokens:te=!1,clean_up_tokenization_spaces:de=null}){let he=this.model.convert_ids_to_tokens(j);te&&(he=he.filter(We=>!this.special_tokens.includes(We)));let Ce=this.decoder?this.decoder(he):he.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Ce=Ce.replaceAll(this.decoder.end_of_word_suffix," "),te&&(Ce=Ce.trim())),(de??this.clean_up_tokenization_spaces)&&(Ce=A(Ce)),Ce}get_chat_template({chat_template:j=null,tools:te=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const de=this.chat_template;if(j!==null&&Object.hasOwn(de,j))j=de[j];else if(j===null)if(te!==null&&"tool_use"in de)j=de.tool_use;else if("default"in de)j=de.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(de).sort()}.`)}else if(j===null)if(this.chat_template)j=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 j}apply_chat_template(j,{tools:te=null,documents:de=null,chat_template:he=null,add_generation_prompt:Ce=!1,tokenize:We=!0,padding:qe=!1,truncation:Ke=!1,max_length:Ze=null,return_tensor:ht=!0,return_dict:Ct=!1,tokenizer_kwargs:kt={},...Wt}={}){if(he=this.get_chat_template({chat_template:he,tools:te}),typeof he!="string")throw Error(`chat_template must be a string, but got ${typeof he}`);let Ot=this._compiled_template_cache.get(he);Ot===void 0&&(Ot=new d.Template(he),this._compiled_template_cache.set(he,Ot));const Ut=Object.create(null);for(const fr of cs){const Yr=this.getToken(fr);Yr&&(Ut[fr]=Yr)}const vr=Ot.render({messages:j,add_generation_prompt:Ce,tools:te,documents:de,...Ut,...Wt});if(We){const fr=this._call(vr,{add_special_tokens:!1,padding:qe,truncation:Ke,max_length:Ze,return_tensor:ht,...kt});return Ct?fr:fr.input_ids}return vr}}class qr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ur extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class us extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class xs extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ts extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Es extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ds extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class mr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Be extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class et extends dt{}class it extends dt{}class rr extends dt{constructor(j,te){super(j,te);re(this,"return_token_type_ids",!0);console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class zt extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ir extends dt{}class ps extends dt{}class hs extends dt{}class Er extends dt{constructor(F,j){super(F,j),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)),this.lang_to_token=te=>te}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class ms extends Er{}class _s extends dt{}class Qr extends dt{}const Ps="▁";class qs extends dt{constructor(j,te){super(j,te);re(this,"padding_side","left");this.legacy=te.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new wt({replacement:Ps,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(j){if(j===null)return null;if(this.legacy||j.length===0)return super._encode_text(j);let te=super._encode_text(Ps+j.replaceAll(Ps," "));return te.length>1&&te[0]===Ps&&this.special_tokens.includes(te[1])&&(te=te.slice(1)),te}}class Qs extends dt{}class Xs extends dt{}class Js extends dt{}class fs extends dt{}class Ys extends dt{}class Zs extends dt{}class en extends dt{}class Lr extends dt{}class Cs extends dt{}function br(ue,F,j,te){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 de=te.src_lang,he=te.tgt_lang;if(!ue.language_codes.includes(he))throw new Error(`Target language code "${he}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);if(de!==void 0){if(!ue.language_codes.includes(de))throw new Error(`Source language code "${de}" is not valid. Must be one of: {${ue.language_codes.join(", ")}}`);for(const Ce of ue.post_processor.config.single)if("SpecialToken"in Ce&&ue.languageRegex.test(Ce.SpecialToken.id)){Ce.SpecialToken.id=ue.lang_to_token(de);break}}return te.forced_bos_token_id=ue.model.convert_tokens_to_ids([ue.lang_to_token(he)])[0],ue._call(F,j)}class Ls extends dt{constructor(F,j){super(F,j),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)),this.lang_to_token=te=>te}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class zs extends dt{constructor(F,j){super(F,j),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(te=>this.languageRegex.test(te)).map(te=>te.slice(2,-2)),this.lang_to_token=te=>`__${te}__`}_build_translation_inputs(F,j,te){return br(this,F,j,te)}}class Ar extends dt{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(F,{return_timestamps:j=!1,return_language:te=!1,time_precision:de=null,force_full_sequences:he=!0}={}){if(de===null)throw Error("Must specify time_precision");let Ce=null;const We=j==="word";function qe(){return{language:Ce,timestamp:[null,null],text:""}}const Ke=[];let Ze=qe(),ht=0;const Ct=this.timestamp_begin,Wt=Ct+1500;let Ot=[],Ut=[],vr=!1,fr=null;const Yr=new Set(this.all_special_ids);for(const Gt of F){const Zt=Gt.tokens,gr=We?Gt.token_timestamps:null;let Zr=null,ws=Ct;if("stride"in Gt){const[Rt,Jt,qt]=Gt.stride;if(ht-=Jt,fr=Rt-qt,Jt&&(ws=Jt/de+Ct),qt)for(let er=Zt.length-1;er>=0;--er){const ir=Number(Zt[er]);if(ir>=Ct){if(Zr!==null&&(ir-Ct)*de<fr)break;Zr=ir}}}let Ht=[],ur=[];for(let Rt=0;Rt<Zt.length;++Rt){const Jt=Number(Zt[Rt]);if(Yr.has(Jt)){const qt=this.decode([Jt]),er=p.WHISPER_LANGUAGE_MAPPING.get(qt.slice(2,-2));if(er!==void 0){if(Ce!==null&&er!==Ce&&!j){Ot.push(Ht);const ir=this.findLongestCommonSequence(Ot)[0],tn=this.decode(ir);Ze.text=tn,Ke.push(Ze),Ot=[],Ht=[],Ze=qe()}Ce=Ze.language=er}}else if(Jt>=Ct&&Jt<=Wt){const qt=(Jt-Ct)*de+ht,er=(0,o.round)(qt,2);if(Zr!==null&&Jt>=Zr)vr=!0;else if(vr||Ot.length>0&&Jt<ws)vr=!1;else if(Ze.timestamp[0]===null)Ze.timestamp[0]=er;else if(er!==Ze.timestamp[0]){Ze.timestamp[1]=er,Ot.push(Ht),We&&Ut.push(ur);const[ir,tn]=this.findLongestCommonSequence(Ot,Ut),rn=this.decode(ir);Ze.text=rn,We&&(Ze.words=this.collateWordTimestamps(ir,tn,Ce)),Ke.push(Ze),Ot=[],Ht=[],Ut=[],ur=[],Ze=qe()}}else if(Ht.push(Jt),We){let qt=(0,o.round)(gr[Rt]+ht,2),er;if(Rt+1<gr.length){er=(0,o.round)(gr[Rt+1]+ht,2);const ir=this.decode([Jt]);E.test(ir)&&(er=(0,o.round)(Math.min(qt+de,er),2))}else er=null;ur.push([qt,er])}}if("stride"in Gt){const[Rt,Jt,qt]=Gt.stride;ht+=Rt-qt}Ht.length>0?(Ot.push(Ht),We&&Ut.push(ur)):Ot.every(Rt=>Rt.length===0)&&(Ze=qe(),Ot=[],Ht=[],Ut=[],ur=[])}if(Ot.length>0){if(he&&j)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[Gt,Zt]=this.findLongestCommonSequence(Ot,Ut),gr=this.decode(Gt);Ze.text=gr,We&&(Ze.words=this.collateWordTimestamps(Gt,Zt,Ce)),Ke.push(Ze)}let xr=Object.create(null);const gs=Ke.map(Gt=>Gt.text).join("");if(j||te){for(let Gt=0;Gt<Ke.length;++Gt){const Zt=Ke[Gt];j||delete Zt.timestamp,te||delete Zt.language}if(We){const Gt=[];for(const Zt of Ke)for(const gr of Zt.words)Gt.push(gr);xr={chunks:Gt}}else xr={chunks:Ke}}return[gs,xr]}findLongestCommonSequence(F,j=null){let te=F[0],de=te.length,he=[];const Ce=Array.isArray(j)&&j.length>0;let We=Ce?[]:null,qe=Ce?j[0]:null;for(let Ke=1;Ke<F.length;++Ke){const Ze=F[Ke];let ht=0,Ct=[de,de,0,0];const kt=Ze.length;for(let xr=1;xr<de+kt;++xr){const gs=Math.max(0,de-xr),Gt=Math.min(de,de+kt-xr),Zt=te.slice(gs,Gt),gr=Math.max(0,xr-de),Zr=Math.min(kt,xr),ws=Ze.slice(gr,Zr);if(Zt.length!==ws.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let Ht;Ce?Ht=Zt.filter((Jt,qt)=>Jt===ws[qt]&&qe[gs+qt]<=j[Ke][gr+qt]).length:Ht=Zt.filter((Jt,qt)=>Jt===ws[qt]).length;const ur=xr/1e4,Rt=Ht/xr+ur;Ht>1&&Rt>ht&&(ht=Rt,Ct=[gs,Gt,gr,Zr])}const[Wt,Ot,Ut,vr]=Ct,fr=Math.floor((Ot+Wt)/2),Yr=Math.floor((vr+Ut)/2);he.push(...te.slice(0,fr)),te=Ze.slice(Yr),de=te.length,Ce&&(We.push(...qe.slice(0,fr)),qe=j[Ke].slice(Yr))}return he.push(...te),Ce?(We.push(...qe),[he,We]):[he,[]]}collateWordTimestamps(F,j,te){const[de,he,Ce]=this.combineTokensIntoWords(F,te),We=[];for(let qe=0;qe<de.length;++qe){const Ke=Ce[qe];We.push({text:de[qe],timestamp:[j[Ke.at(0)][0],j[Ke.at(-1)][1]]})}return We}combineTokensIntoWords(F,j,te=`"'“¡¿([{-`,de=`"'.。,，!！?？:：”)]}、`){j=j??"english";let he,Ce,We;return["chinese","japanese","thai","lao","myanmar"].includes(j)?[he,Ce,We]=this.splitTokensOnUnicode(F):[he,Ce,We]=this.splitTokensOnSpaces(F),this.mergePunctuations(he,Ce,We,te,de)}decode(F,j){let te;return j!=null&&j.decode_with_timestamps?(F instanceof a.Tensor&&(F=P(F)),te=this.decodeWithTimestamps(F,j)):te=super.decode(F,j),te}decodeWithTimestamps(F,j){const te=(j==null?void 0:j.time_precision)??.02,de=Array.from(this.all_special_ids).at(-1)+1;let he=[[]];for(let Ce of F)if(Ce=Number(Ce),Ce>=de){const We=((Ce-de)*te).toFixed(2);he.push(`<|${We}|>`),he.push([])}else he[he.length-1].push(Ce);return he=he.map(Ce=>typeof Ce=="string"?Ce:super.decode(Ce,j)),he.join("")}splitTokensOnUnicode(F){const j=this.decode(F,{decode_with_timestamps:!0}),te="�",de=[],he=[],Ce=[];let We=[],qe=[],Ke=0;for(let Ze=0;Ze<F.length;++Ze){const ht=F[Ze];We.push(ht),qe.push(Ze);const Ct=this.decode(We,{decode_with_timestamps:!0});(!Ct.includes(te)||j[Ke+Ct.indexOf(te)]===te)&&(de.push(Ct),he.push(We),Ce.push(qe),We=[],qe=[],Ke+=Ct.length)}return[de,he,Ce]}splitTokensOnSpaces(F){const[j,te,de]=this.splitTokensOnUnicode(F),he=[],Ce=[],We=[],qe=new RegExp(`^[${M}]$`,"gu");for(let Ke=0;Ke<j.length;++Ke){const Ze=j[Ke],ht=te[Ke],Ct=de[Ke],kt=ht[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),Wt=Ze.startsWith(" "),Ot=Ze.trim(),Ut=qe.test(Ot);if(kt||Wt||Ut||he.length===0)he.push(Ze),Ce.push(ht),We.push(Ct);else{const vr=he.length-1;he[vr]+=Ze,Ce[vr].push(...ht),We[vr].push(...Ct)}}return[he,Ce,We]}mergePunctuations(F,j,te,de,he){const Ce=structuredClone(F),We=structuredClone(j),qe=structuredClone(te);let Ke=Ce.length-2,Ze=Ce.length-1;for(;Ke>=0;)Ce[Ke].startsWith(" ")&&de.includes(Ce[Ke].trim())?(Ce[Ze]=Ce[Ke]+Ce[Ze],We[Ze]=(0,i.mergeArrays)(We[Ke],We[Ze]),qe[Ze]=(0,i.mergeArrays)(qe[Ke],qe[Ze]),Ce[Ke]="",We[Ke]=[],qe[Ke]=[]):Ze=Ke,--Ke;for(Ke=0,Ze=1;Ze<Ce.length;)!Ce[Ke].endsWith(" ")&&he.includes(Ce[Ze])?(Ce[Ke]+=Ce[Ze],We[Ke]=(0,i.mergeArrays)(We[Ke],We[Ze]),qe[Ke]=(0,i.mergeArrays)(qe[Ke],qe[Ze]),Ce[Ze]="",We[Ze]=[],qe[Ze]=[]):Ke=Ze,++Ze;return[Ce.filter(ht=>ht),We.filter(ht=>ht.length>0),qe.filter(ht=>ht.length>0)]}}class Xr extends dt{}class Tn extends dt{}class zr extends dt{}class En extends dt{constructor(F,j){super(F,j),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(te=>this.languageRegex.test(te)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(F){if(F===null)return null;const[j,...te]=F.trim().split(this.languageRegex);if(te.length===0)return super._encode_text(j);if(te.length===2){const[de,he]=te;return this.supported_language_codes.includes(de)||console.warn(`Unsupported language code "${de}" detected, which may lead to unexpected behavior. 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Error("fromCanvas() is only supported in browser environments.");const $=b.getContext("2d").getImageData(0,0,b.width,b.height).data;return new f($,b.width,b.height,4)}static async fromURL(b){const y=await(0,i.getFile)(b);if(y.status!==200)throw new Error(`Unable to read image from "${b}" (${y.status} ${y.statusText})`);const $=await y.blob();return this.fromBlob($)}static async fromBlob(b){if(u){const y=await p(b),$=l(y.width,y.height).getContext("2d");return $.drawImage(y,0,0),new this($.getImageData(0,0,y.width,y.height).data,y.width,y.height,4)}else{const y=a(await b.arrayBuffer());return await p(y)}}static fromTensor(b,y="CHW"){if(b.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${b.dims.length} dimensions.`);if(y==="CHW")b=b.transpose(1,2,0);else if(y!=="HWC")throw new Error(`Unsupported channel format: ${y}`);if(!(b.data instanceof Uint8ClampedArray||b.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${b.type}`);switch(b.dims[2]){case 1:case 2:case 3:case 4:return new f(b.data,b.dims[1],b.dims[0],b.dims[2]);default:throw new Error(`Unsupported number of channels: ${b.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const b=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let y=0,$=0;y<this.data.length;y+=this.channels){const T=this.data[y],g=this.data[y+1],M=this.data[y+2];b[$++]=Math.round(.2989*T+.587*g+.114*M)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(b,this.width,this.height,1)}rgb(){if(this.channels===3)return this;const b=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let y=0,$=0;y<this.data.length;++y)b[$++]=this.data[y],b[$++]=this.data[y],b[$++]=this.data[y];break;case 4:for(let y=0,$=0;y<this.data.length;y+=4)b[$++]=this.data[y],b[$++]=this.data[y+1],b[$++]=this.data[y+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(b,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const b=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let y=0,$=0;y<this.data.length;++y)b[$++]=this.data[y],b[$++]=this.data[y],b[$++]=this.data[y],b[$++]=255;break;case 3:for(let y=0,$=0;y<this.data.length;y+=3)b[$++]=this.data[y],b[$++]=this.data[y+1],b[$++]=this.data[y+2],b[$++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(b,this.width,this.height,4)}putAlpha(b){if(b.width!==this.width||b.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${b.width}x${b.height}`);if(b.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${b.channels}`);const y=this.data,$=b.data,T=this.width*this.height;if(this.channels===3){const g=new Uint8ClampedArray(T*4);for(let M=0,E=0,k=0;M<T;++M)g[k++]=y[E++],g[k++]=y[E++],g[k++]=y[E++],g[k++]=$[M];return this._update(g,this.width,this.height,4)}else if(this.channels===4){for(let g=0;g<T;++g)y[4*g+3]=$[g];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(b,y,{resample:$=2}={}){if(this.width===b&&this.height===y)return this;let T=h[$]??$;const g=(0,s.isNullishDimension)(b),M=(0,s.isNullishDimension)(y);if(g&&M)return this;if(g?b=y/this.height*this.width:M&&(y=b/this.width*this.height),u){const E=this.channels,k=this.toCanvas(),B=l(b,y).getContext("2d");return B.drawImage(k,0,0,b,y),new f(B.getImageData(0,0,b,y).data,b,y,4).convert(E)}else{let E=this.toSharp();switch(T){case"box":case"hamming":(T==="box"||T==="hamming")&&(console.warn(`Resampling method ${T} is not yet supported. Using bilinear instead.`),T="bilinear");case"nearest":case"bilinear":case"bicubic":E=E.affine([b/this.width,0,0,y/this.height],{interpolator:T});break;case"lanczos":E=E.resize({width:b,height:y,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${T} is not supported.`)}return await p(E)}}async pad([b,y,$,T]){if(b=Math.max(b,0),y=Math.max(y,0),$=Math.max($,0),T=Math.max(T,0),b===0&&y===0&&$===0&&T===0)return this;if(u){const g=this.channels,M=this.toCanvas(),E=this.width+b+y,k=this.height+$+T,B=l(E,k).getContext("2d");return B.drawImage(M,0,0,this.width,this.height,b,$,this.width,this.height),new f(B.getImageData(0,0,E,k).data,E,k,4).convert(g)}else{const g=this.toSharp().extend({left:b,right:y,top:$,bottom:T});return await p(g)}}async crop([b,y,$,T]){if(b=Math.max(b,0),y=Math.max(y,0),$=Math.min($,this.width-1),T=Math.min(T,this.height-1),b===0&&y===0&&$===this.width-1&&T===this.height-1)return this;const g=$-b+1,M=T-y+1;if(u){const E=this.channels,k=this.toCanvas(),B=l(g,M).getContext("2d");return B.drawImage(k,b,y,g,M,0,0,g,M),new f(B.getImageData(0,0,g,M).data,g,M,4).convert(E)}else{const E=this.toSharp().extract({left:b,top:y,width:g,height:M});return await p(E)}}async center_crop(b,y){if(this.width===b&&this.height===y)return this;const $=(this.width-b)/2,T=(this.height-y)/2;if(u){const g=this.channels,M=this.toCanvas(),E=l(b,y).getContext("2d");let k=0,B=0,N=0,J=0;return $>=0?k=$:N=-$,T>=0?B=T:J=-T,E.drawImage(M,k,B,b,y,N,J,b,y),new f(E.getImageData(0,0,b,y).data,b,y,4).convert(g)}else{let g=this.toSharp();if($>=0&&T>=0)g=g.extract({left:Math.floor($),top:Math.floor(T),width:b,height:y});else if($<=0&&T<=0){const M=Math.floor(-T),E=Math.floor(-$);g=g.extend({top:M,left:E,right:b-this.width-E,bottom:y-this.height-M})}else{let M=[0,0],E=0;T<0?(M[0]=Math.floor(-T),M[1]=y-this.height-M[0]):E=Math.floor(T);let k=[0,0],B=0;$<0?(k[0]=Math.floor(-$),k[1]=b-this.width-k[0]):B=Math.floor($),g=g.extend({top:M[0],bottom:M[1],left:k[0],right:k[1]}).extract({left:B,top:E,width:b,height:y})}return await p(g)}}async toBlob(b="image/png",y=1){if(!u)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:b,quality:y})}toTensor(b="CHW"){let y=new o.Tensor("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(b!=="HWC")if(b==="CHW")y=y.permute(2,0,1);else throw new Error(`Unsupported channel format: ${b}`);return y}toCanvas(){if(!u)throw new Error("toCanvas() is only supported in browser environments.");const b=this.clone().rgba(),y=l(b.width,b.height),$=new d(b.data,b.width,b.height);return y.getContext("2d").putImageData($,0,0),y}split(){const{data:b,width:y,height:$,channels:T}=this,g=b.constructor,M=b.length/T,E=Array.from({length:T},()=>new g(M));for(let k=0;k<M;++k){const B=T*k;for(let N=0;N<T;++N)E[N][k]=b[B+N]}return E.map(k=>new f(k,y,$,1))}_update(b,y,$,T=null){return this.data=b,this.width=y,this.height=$,T!==null&&(this.channels=T),this}clone(){return new f(this.data.slice(),this.width,this.height,this.channels)}convert(b){if(this.channels===b)return this;switch(b){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(b){if(u){if(n.apis.IS_WEBWORKER_ENV)throw new Error("Unable to save an image from a Web Worker.");const y=b.split(".").pop().toLowerCase(),$=w.get(y)??"image/png",T=await this.toBlob($);(0,s.saveBlob)(b,T)}else{if(n.apis.IS_FS_AVAILABLE)return await this.toSharp().toFile(b);throw new Error("Unable to save the image because filesystem is disabled in this environment.")}}toSharp(){if(u)throw new Error("toSharp() is only supported in server-side environments.");return a(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}const P=f.read.bind(f)},"./src/utils/maths.js":(e,r,t)=>{t.r(r),t.d(r,{FFT:()=>P,bankers_round:()=>y,cos_sim:()=>l,dot:()=>a,dynamic_time_warping:()=>$,interpolate_data:()=>s,log_softmax:()=>o,magnitude:()=>d,max:()=>u,medianFilter:()=>A,min:()=>p,permute_data:()=>i,round:()=>b,softmax:()=>n});function s(T,[g,M,E],[k,B],N="bilinear",J=!1){const q=B/E,V=k/M,Y=new T.constructor(k*B*g),H=M*E,Q=k*B;for(let ie=0;ie<k;++ie)for(let le=0;le<B;++le){const ae=ie*B+le,we=(le+.5)/q-.5,R=(ie+.5)/V-.5;let O=Math.floor(we),G=Math.floor(R);const ne=Math.min(O+1,E-1),X=Math.min(G+1,M-1);O=Math.max(O,0),G=Math.max(G,0);const ye=we-O,_e=R-G,ke=(1-ye)*(1-_e),He=ye*(1-_e),Me=(1-ye)*_e,K=ye*_e,U=G*E,pe=X*E,Pe=U+O,Te=U+ne,Ae=pe+O,Ie=pe+ne;for(let Le=0;Le<g;++Le){const Ne=Le*H;Y[Le*Q+ae]=ke*T[Ne+Pe]+He*T[Ne+Te]+Me*T[Ne+Ae]+K*T[Ne+Ie]}}return Y}function i(T,g,M){const E=new Array(M.length),k=new Array(M.length);for(let 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we=le,R=we+Q,O=R+Q,G=O+Q,ne=g[we],X=g[we+1],ye=g[R],_e=g[R+1],ke=g[O],He=g[O+1],Me=g[G],K=g[G+1],U=H[ae],pe=E*H[ae+1],Pe=ye*U-_e*pe,Te=ye*pe+_e*U,Ae=H[2*ae],Ie=E*H[2*ae+1],Le=ke*Ae-He*Ie,Ne=ke*Ie+He*Ae,Ve=H[3*ae],D=E*H[3*ae+1],Z=Me*Ve-K*D,z=Me*D+K*Ve,ee=ne+Le,ce=X+Ne,be=ne-Le,ve=X-Ne,Re=Pe+Z,Fe=Te+z,je=E*(Pe-Z),Qe=E*(Te-z);g[we]=ee+Re,g[we+1]=ce+Fe,g[R]=be+Qe,g[R+1]=ve-je,g[O]=ee-Re,g[O+1]=ce-Fe,g[G]=be-Qe,g[G+1]=ve+je}}}}_singleTransform2(g,M,E,k,B){const N=g[k],J=g[k+1],q=g[k+B],V=g[k+B+1];M[E]=N+q,M[E+1]=J+V,M[E+2]=N-q,M[E+3]=J-V}_singleTransform4(g,M,E,k,B,N){const J=B*2,q=B*3,V=g[k],Y=g[k+1],H=g[k+B],Q=g[k+B+1],ie=g[k+J],le=g[k+J+1],ae=g[k+q],we=g[k+q+1],R=V+ie,O=Y+le,G=V-ie,ne=Y-le,X=H+ae,ye=Q+we,_e=N*(H-ae),ke=N*(Q-we);M[E]=R+X,M[E+1]=O+ye,M[E+2]=G+ke,M[E+3]=ne-_e,M[E+4]=R-X,M[E+5]=O-ye,M[E+6]=G-ke,M[E+7]=ne+_e}_realTransform4(g,M,E){const k=this._csize;let N=1<<this._width,J=k/N<<1,q,V;const Y=this._bitrev;if(J===4)for(q=0,V=0;q<k;q+=J,++V){const ie=Y[V];this._singleRealTransform2(M,g,q,ie>>>1,N>>>1)}else for(q=0,V=0;q<k;q+=J,++V){const ie=Y[V];this._singleRealTransform4(M,g,q,ie>>>1,N>>>1,E)}const H=this.table;for(N>>=2;N>=2;N>>=2){J=k/N<<1;const ie=J>>>1,le=ie>>>1,ae=le>>>1;for(q=0;q<k;q+=J)for(let we=0,R=0;we<=ae;we+=2,R+=N){const O=q+we,G=O+le,ne=G+le,X=ne+le,ye=g[O],_e=g[O+1],ke=g[G],He=g[G+1],Me=g[ne],K=g[ne+1],U=g[X],pe=g[X+1],Pe=ye,Te=_e,Ae=H[R],Ie=E*H[R+1],Le=ke*Ae-He*Ie,Ne=ke*Ie+He*Ae,Ve=H[2*R],D=E*H[2*R+1],Z=Me*Ve-K*D,z=Me*D+K*Ve,ee=H[3*R],ce=E*H[3*R+1],be=U*ee-pe*ce,ve=U*ce+pe*ee,Re=Pe+Z,Fe=Te+z,je=Pe-Z,Qe=Te-z,Xe=Le+be,ut=Ne+ve,wt=E*(Le-be),nr=E*(Ne-ve);if(g[O]=Re+Xe,g[O+1]=Fe+ut,g[G]=je+nr,g[G+1]=Qe-wt,we===0){g[ne]=Re-Xe,g[ne+1]=Fe-ut;continue}if(we===ae)continue;const jt=q+le-we,dr=q+ie-we;g[jt]=je-E*nr,g[jt+1]=-Qe-E*wt,g[dr]=Re-E*Xe,g[dr+1]=-Fe+E*ut}}const Q=k>>>1;for(let ie=2;ie<Q;ie+=2)g[k-ie]=g[ie],g[k-ie+1]=-g[ie+1]}_singleRealTransform2(g,M,E,k,B){const 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Error(`Internal error in dynamic time warping. 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lx=_.full;_.full_like,_.getKeyValueShapes,_.hamming,_.hanning,_.interpolate,_.interpolate_4d,_.interpolate_data,_.is_chinese_char,_.layer_norm,_.load_image,_.load_video,_.log_softmax,_.magnitude,_.matmul,_.max,_.mean,_.mean_pooling,_.medianFilter,_.mel_filter_bank,_.min,_.ones,_.ones_like,_.permute,_.permute_data,_.pipeline,_.quantize_embeddings,_.rand,_.read_audio,_.rfft,_.round,_.slice,_.softmax,_.spectrogram,_.stack,_.std_mean,_.topk,_.window_function,_.zeros,_.zeros_like;const dx=64;class Wn{static async getInstance(r){return this.model_id="onnx-community/whisper-large-v3-turbo",this.tokenizer??(this.tokenizer=ix.from_pretrained(this.model_id,{progress_callback:r})),this.processor??(this.processor=nx.from_pretrained(this.model_id,{progress_callback:r})),this.model??(this.model=ax.from_pretrained(this.model_id,{dtype:{encoder_model:"fp16",decoder_model_merged:"q4"},device:"webgpu",progress_callback:r})),Promise.all([this.tokenizer,this.processor,this.model])}}re(Wn,"model_id",null),re(Wn,"tokenizer"),re(Wn,"processor"),re(Wn,"model");async function cx(e){const r=atob(e),t=new Uint8Array(r.length);for(let n=0;n<r.length;n++)t[n]=r.charCodeAt(n);const s=new Int16Array(t.buffer.slice(44)),i=new Float32Array(s.length);for(let n=0;n<s.length;n++)i[n]=s[n]/32768;return i}let Xc=!1;async function ux({audio:e,language:r}){if(Xc)return;Xc=!0,globalThis.postMessage({status:"start"});const t=await cx(e),[s,i,n]=await Wn.getInstance();let o,a=0;const l=w=>{o??(o=performance.now());let f;a++>0&&(f=a/(performance.now()-o)*1e3),globalThis.postMessage({status:"update",output:w,tps:f,numTokens:a})},d=new ox(s,{skip_prompt:!0,decode_kwargs:{skip_special_tokens:!0},callback_function:l}),p=await i(t),u=await n.generate({...p,max_new_tokens:dx,language:r,streamer:d}),h=s.batch_decode(u,{skip_special_tokens:!0});globalThis.postMessage({status:"complete",output:h}),Xc=!1}async function px(){globalThis.postMessage({status:"loading",data:"Loading model..."});const[e,r,t]=await Wn.getInstance(s=>{globalThis.postMessage(s)});globalThis.postMessage({status:"loading",data:"Compiling shaders and warming up model..."}),await t.generate({input_features:lx([1,128,3e3],0),max_new_tokens:1}),globalThis.postMessage({status:"ready"})}globalThis.addEventListener("message",async e=>{const{type:r,data:t}=e.data;switch(r){case"load":px();break;case"generate":ux(t);break}})})();
diff --git a/assets/worker-Pjvo6JHG.js b/assets/worker-Pjvo6JHG.js
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index 0000000000000000000000000000000000000000..98808d9efe8e025812caab5575a47bc39df92e97
--- /dev/null
+++ b/assets/worker-Pjvo6JHG.js
@@ -0,0 +1,2846 @@
+var NT=Object.defineProperty;var jT=(bs,Sr,Ln)=>Sr in bs?NT(bs,Sr,{enumerable:!0,configurable:!0,writable:!0,value:Ln}):bs[Sr]=Ln;var re=(bs,Sr,Ln)=>jT(bs,typeof Sr!="symbol"?Sr+"":Sr,Ln);(function(){"use strict";const bs=new Map,Sr=[],Ln=(e,r,t)=>{if(r&&typeof r.init=="function"&&typeof r.createInferenceSessionHandler=="function"){const s=bs.get(e);if(s===void 0)bs.set(e,{backend:r,priority:t});else{if(s.priority>t)return;if(s.priority===t&&s.backend!==r)throw new Error(`cannot register backend "${e}" using priority ${t}`)}if(t>=0){const i=Sr.indexOf(e);i!==-1&&Sr.splice(i,1);for(let n=0;n<Sr.length;n++)if(bs.get(Sr[n]).priority<=t){Sr.splice(n,0,e);return}Sr.push(e)}return}throw new TypeError("not a valid backend")},Sb=async e=>{const r=bs.get(e);if(!r)return"backend not found.";if(r.initialized)return r.backend;if(r.aborted)return r.error;{const t=!!r.initPromise;try{return t||(r.initPromise=r.backend.init(e)),await r.initPromise,r.initialized=!0,r.backend}catch(s){return t||(r.error=`${s}`,r.aborted=!0),r.error}finally{delete r.initPromise}}},$b=async e=>{const r=e.executionProviders||[],t=r.map(l=>typeof l=="string"?l:l.name),s=t.length===0?Sr:t;let i;const n=[],o=new Set;for(const l of s){const c=await Sb(l);typeof c=="string"?n.push({name:l,err:c}):(i||(i=c),i===c&&o.add(l))}if(!i)throw new Error(`no available backend found. 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Gr({location:"ml-tensor",mlTensor:e.mlTensor,type:e.type,dims:r});default:throw new Error(`tensorReshape: tensor location ${e.location} is not supported`)}};let Gr=class{constructor(r,t,s){Rb();let i,n;if(typeof r=="object"&&"location"in r)switch(this.dataLocation=r.location,i=r.type,n=r.dims,r.location){case"cpu-pinned":{const a=zn.get(i);if(!a)throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`);if(!(r.data instanceof a))throw new TypeError(`buffer should be of type ${a.name}`);this.cpuData=r.data;break}case"texture":{if(i!=="float32")throw new TypeError(`unsupported type "${i}" to create tensor from texture`);this.gpuTextureData=r.texture,this.downloader=r.download,this.disposer=r.dispose;break}case"gpu-buffer":{if(i!=="float32"&&i!=="float16"&&i!=="int32"&&i!=="int64"&&i!=="uint32"&&i!=="uint8"&&i!=="bool"&&i!=="uint4"&&i!=="int4")throw new TypeError(`unsupported type "${i}" to create tensor from gpu buffer`);this.gpuBufferData=r.gpuBuffer,this.downloader=r.download,this.disposer=r.dispose;break}case"ml-tensor":{if(i!=="float32"&&i!=="float16"&&i!=="int32"&&i!=="int64"&&i!=="uint32"&&i!=="uint64"&&i!=="int8"&&i!=="uint8"&&i!=="bool"&&i!=="uint4"&&i!=="int4")throw new TypeError(`unsupported type "${i}" to create tensor from MLTensor`);this.mlTensorData=r.mlTensor,this.downloader=r.download,this.disposer=r.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let a,l;if(typeof r=="string")if(i=r,l=s,r==="string"){if(!Array.isArray(t))throw new TypeError("A string tensor's data must be a string array.");a=t}else{const c=zn.get(r);if(c===void 0)throw new TypeError(`Unsupported tensor type: ${r}.`);if(Array.isArray(t)){if(r==="float16"&&c===Uint16Array||r==="uint4"||r==="int4")throw new TypeError(`Creating a ${r} tensor from number array is not supported. 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Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.");return this.cpuData}get location(){return this.dataLocation}get texture(){if(this.ensureValid(),!this.gpuTextureData)throw new Error("The data is not stored as a WebGL texture.");return this.gpuTextureData}get gpuBuffer(){if(this.ensureValid(),!this.gpuBufferData)throw new Error("The data is not stored as a WebGPU buffer.");return this.gpuBufferData}get mlTensor(){if(this.ensureValid(),!this.mlTensorData)throw new Error("The data is not stored as a WebNN MLTensor.");return this.mlTensorData}async getData(r){switch(this.ensureValid(),this.dataLocation){case"cpu":case"cpu-pinned":return this.data;case"texture":case"gpu-buffer":case"ml-tensor":{if(!this.downloader)throw new Error("The current tensor is not created with a specified data downloader.");if(this.isDownloading)throw new Error("The current tensor is being downloaded.");try{this.isDownloading=!0;const t=await this.downloader();return this.downloader=void 0,this.dataLocation="cpu",this.cpuData=t,r&&this.disposer&&(this.disposer(),this.disposer=void 0),t}finally{this.isDownloading=!1}}default:throw new Error(`cannot get data from location: ${this.dataLocation}`)}}dispose(){if(this.isDownloading)throw new Error("The current tensor is being downloaded.");this.disposer&&(this.disposer(),this.disposer=void 0),this.cpuData=void 0,this.gpuTextureData=void 0,this.gpuBufferData=void 0,this.mlTensorData=void 0,this.downloader=void 0,this.isDownloading=void 0,this.dataLocation="none"}ensureValid(){if(this.dataLocation==="none")throw new Error("The tensor is disposed.")}reshape(r){if(this.ensureValid(),this.downloader||this.disposer)throw new Error("Cannot reshape a tensor that owns GPU resource.");return jb(this,r)}};const Bn=Gr,Lu=(e,r)=>{(typeof es.trace>"u"?!es.wasm.trace:!es.trace)||console.timeStamp(`${e}::ORT::${r}`)},zu=(e,r)=>{var i;const t=((i=new Error().stack)==null?void 0:i.split(/\r\n|\r|\n/g))||[];let s=!1;for(let n=0;n<t.length;n++){if(s&&!t[n].includes("TRACE_FUNC")){let o=`FUNC_${e}::${t[n].trim().split(" ")[1]}`;r&&(o+=`::${r}`),Lu("CPU",o);return}t[n].includes("TRACE_FUNC")&&(s=!0)}},ld=e=>{(typeof es.trace>"u"?!es.wasm.trace:!es.trace)||zu("BEGIN",e)},dd=e=>{(typeof es.trace>"u"?!es.wasm.trace:!es.trace)||zu("END",e)};var Vb=Object.freeze({__proto__:null,InferenceSession:class Eb{constructor(r){this.handler=r}async run(r,t,s){ld();const i={};let n={};if(typeof r!="object"||r===null||r instanceof Bn||Array.isArray(r))throw new TypeError("'feeds' must be an object that use input names as keys and OnnxValue as corresponding values.");let o=!0;if(typeof t=="object"){if(t===null)throw new TypeError("Unexpected argument[1]: cannot be null.");if(t instanceof Bn)throw new TypeError("'fetches' cannot be a Tensor");if(Array.isArray(t)){if(t.length===0)throw new TypeError("'fetches' cannot be an empty array.");o=!1;for(const c of t){if(typeof c!="string")throw new TypeError("'fetches' must be a string array or an object.");if(this.outputNames.indexOf(c)===-1)throw new RangeError(`'fetches' contains invalid output name: ${c}.`);i[c]=null}if(typeof s=="object"&&s!==null)n=s;else if(typeof s<"u")throw new TypeError("'options' must be an object.")}else{let c=!1;const p=Object.getOwnPropertyNames(t);for(const u of this.outputNames)if(p.indexOf(u)!==-1){const h=t[u];(h===null||h instanceof Bn)&&(c=!0,o=!1,i[u]=h)}if(c){if(typeof s=="object"&&s!==null)n=s;else if(typeof s<"u")throw new TypeError("'options' must be an object.")}else n=t}}else if(typeof t<"u")throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");for(const c of this.inputNames)if(typeof r[c]>"u")throw new Error(`input '${c}' is missing in 'feeds'.`);if(o)for(const c of this.outputNames)i[c]=null;const a=await this.handler.run(r,i,n),l={};for(const c in a)if(Object.hasOwnProperty.call(a,c)){const p=a[c];p instanceof Bn?l[c]=p:l[c]=new Bn(p.type,p.data,p.dims)}return dd(),l}async release(){return this.handler.dispose()}static async create(r,t,s,i){ld();let n,o={};if(typeof r=="string"){if(n=r,typeof t=="object"&&t!==null)o=t;else if(typeof t<"u")throw new TypeError("'options' must be an object.")}else if(r instanceof Uint8Array){if(n=r,typeof t=="object"&&t!==null)o=t;else if(typeof t<"u")throw new TypeError("'options' must be an object.")}else if(r instanceof ArrayBuffer||typeof SharedArrayBuffer<"u"&&r instanceof SharedArrayBuffer){const p=r;let u=0,h=r.byteLength;if(typeof t=="object"&&t!==null)o=t;else if(typeof t=="number"){if(u=t,!Number.isSafeInteger(u))throw new RangeError("'byteOffset' must be an integer.");if(u<0||u>=p.byteLength)throw new RangeError(`'byteOffset' is out of range [0, ${p.byteLength}).`);if(h=r.byteLength-u,typeof s=="number"){if(h=s,!Number.isSafeInteger(h))throw new RangeError("'byteLength' must be an integer.");if(h<=0||u+h>p.byteLength)throw new RangeError(`'byteLength' is out of range (0, ${p.byteLength-u}].`);if(typeof i=="object"&&i!==null)o=i;else if(typeof i<"u")throw new TypeError("'options' must be an object.")}else if(typeof s<"u")throw new TypeError("'byteLength' must be a number.")}else if(typeof t<"u")throw new TypeError("'options' must be an object.");n=new Uint8Array(p,u,h)}else throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'.");const[a,l]=await $b(o),c=await a.createInferenceSessionHandler(n,l);return dd(),new Eb(c)}startProfiling(){this.handler.startProfiling()}endProfiling(){this.handler.endProfiling()}get inputNames(){return this.handler.inputNames}get outputNames(){return this.handler.outputNames}},TRACE:Lu,TRACE_FUNC_BEGIN:ld,TRACE_FUNC_END:dd,Tensor:Bn,env:Ib,registerBackend:Ln});/*!
+ * ONNX Runtime Web v1.22.0-dev.20250306-ccf8fdd9ea
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */var cd=Object.defineProperty,Ub=Object.getOwnPropertyDescriptor,Wb=Object.getOwnPropertyNames,Gb=Object.prototype.hasOwnProperty,Kb=(e=>typeof require<"u"?require:typeof Proxy<"u"?new Proxy(e,{get:(r,t)=>(typeof require<"u"?require:r)[t]}):e)(function(e){if(typeof require<"u")return require.apply(this,arguments);throw Error('Dynamic require of "'+e+'" is not supported')}),Ve=(e,r)=>()=>(e&&(r=e(e=0)),r),Si=(e,r)=>{for(var t in r)cd(e,t,{get:r[t],enumerable:!0})},Hb=(e,r,t,s)=>{if(r&&typeof r=="object"||typeof r=="function")for(let i of Wb(r))!Gb.call(e,i)&&i!==t&&cd(e,i,{get:()=>r[i],enumerable:!(s=Ub(r,i))||s.enumerable});return e},fa=e=>Hb(cd({},"__esModule",{value:!0}),e),$i,Ws,un,Bu,Ru,Nu=Ve(()=>{$i=new Map,Ws=[],un=(e,r,t)=>{if(r&&typeof r.init=="function"&&typeof r.createInferenceSessionHandler=="function"){let s=$i.get(e);if(s===void 0)$i.set(e,{backend:r,priority:t});else{if(s.priority>t)return;if(s.priority===t&&s.backend!==r)throw new Error(`cannot register backend "${e}" using priority ${t}`)}if(t>=0){let i=Ws.indexOf(e);i!==-1&&Ws.splice(i,1);for(let n=0;n<Ws.length;n++)if($i.get(Ws[n]).priority<=t){Ws.splice(n,0,e);return}Ws.push(e)}return}throw new TypeError("not a valid backend")},Bu=async e=>{let r=$i.get(e);if(!r)return"backend not found.";if(r.initialized)return r.backend;if(r.aborted)return r.error;{let t=!!r.initPromise;try{return t||(r.initPromise=r.backend.init(e)),await r.initPromise,r.initialized=!0,r.backend}catch(s){return t||(r.error=`${s}`,r.aborted=!0),r.error}finally{delete r.initPromise}}},Ru=async e=>{let r=e.executionProviders||[],t=r.map(l=>typeof l=="string"?l:l.name),s=t.length===0?Ws:t,i,n=[],o=new Set;for(let l of s){let c=await Bu(l);typeof c=="string"?n.push({name:l,err:c}):(i||(i=c),i===c&&o.add(l))}if(!i)throw new Error(`no available backend found. 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s=this.storageCache.get(r);if(!s)throw new Error("destination gpu data for memcpy does not exist");if(t.originalSize!==s.originalSize)throw new Error("inconsistent source and destination gpu data size");let i=va(t.originalSize),n=this.backend.getCommandEncoder();this.backend.endComputePass(),n.copyBufferToBuffer(t.gpuData.buffer,0,s.gpuData.buffer,0,i)}registerExternalBuffer(e,r,t){let s;if(t){if(s=t[0],e===t[1])return St("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${r}) => id=${s}, buffer is the same, skip.`),s;if(this.backend.capturedCommandList.has(this.backend.currentSessionId))throw new Error(`Registering a different external buffer under graph capture mode is not supported yet.
+             Please use the previous external buffer!`)}else s=Nd();return this.storageCache.set(s,{gpuData:{id:s,type:0,buffer:e},originalSize:r}),St("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${r}) => id=${s}, registered.`),s}unregisterExternalBuffer(e){e!==void 0&&(this.storageCache.delete(e),St("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${e}`))}create(e,r=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let t=kp(e),s,i=(r&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,n=(r&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(i||n){let a=(i?this.freeBuffers:this.freeUniformBuffers).get(t);a?a.length>0?s=a.pop():s=this.backend.device.createBuffer({size:t,usage:r}):s=this.backend.device.createBuffer({size:t,usage:r})}else s=this.backend.device.createBuffer({size:t,usage:r});let o={id:Nd(),type:0,buffer:s};return this.storageCache.set(o.id,{gpuData:o,originalSize:Number(e)}),St("verbose",()=>`[WebGPU] GpuDataManager.create(size=${e}) => id=${o.id}`),o}get(e){var r;return(r=this.storageCache.get(e))==null?void 0:r.gpuData}release(e){let r=typeof e=="bigint"?Number(e):e,t=this.storageCache.get(r);if(!t){if(this.storageCache.size===0)return 0;throw new Error("releasing data does not exist")}return St("verbose",()=>`[WebGPU] GpuDataManager.release(id=${r}), gpuDataId=${t.gpuData.id}`),this.storageCache.delete(r),this.buffersPending.push(t.gpuData.buffer),t.originalSize}async download(e,r){let t=this.storageCache.get(Number(e));if(!t)throw new Error("data does not exist");await jd(this.backend,t.gpuData.buffer,t.originalSize,r)}refreshPendingBuffers(){if(this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let e of this.buffersPending){let r=Rd.get(e.size);if((e.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let t=this.freeBuffers.get(e.size)||[];r===void 0||t.length>=r?e.destroy():t.push(e)}else if((e.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let t=this.freeUniformBuffers.get(e.size)||[];r===void 0||t.length>=r?e.destroy():t.push(e)}else e.destroy()}this.buffersPending=[]}else{let e=this.capturedPendingBuffers.get(this.backend.currentSessionId);e||(e=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,e));for(let r of this.buffersPending)e.push(r);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach(e=>{e.forEach(r=>{r.destroy()})}),this.freeUniformBuffers.forEach(e=>{e.forEach(r=>{r.destroy()})}),this.storageCache.forEach(e=>{e.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach(e=>{e.forEach(r=>{r.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onCreateSession(){this.sessionCount+=1}onReleaseSession(e){let r=this.capturedPendingBuffers.get(e);r&&(r.forEach(t=>{t.destroy()}),this.capturedPendingBuffers.delete(e)),this.sessionCount-=1,this.sessionCount===0&&(St("warning",()=>"[WebGPU] Clearing webgpu buffer cache"),this.storageCache.forEach(t=>{t.gpuData.buffer.destroy()}),this.storageCache=new Map)}},Fp=(...e)=>new Ap(...e)}),Op,Dt,Yt=Ve(()=>{Op=class{constructor(e){Object.assign(this,e)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(e=>`${this[e]}`).join(";")),this.key}},Dt=e=>new Op(e)}),Dp,Nn,Te,Ta,Lp,zp,Bp,Mt=Ve(()=>{Dp=class{static calcMatMulShape(e,r){return e[1]!==r[0]?void 0:[e[0],r[1]]}},Nn=class{static calcShape(e,r,t=!1){let s=e.length,i=r.length;if(s===0)return r;if(i===0)return e;let n=Math.max(e.length,r.length),o=new Array(n);if(t){if(s<2||i<2)return;let a=Dp.calcMatMulShape([e[s-2],e[s-1]],[r[i-2],r[i-1]]);if(a===void 0)return;[o[n-2],o[n-1]]=a}for(let a=t?3:1;a<=n;a++){let l=s-a<0?1:e[s-a],c=i-a<0?1:r[i-a];if(l!==c&&l>1&&c>1)return;let p=Math.max(l,c);if(l&&c)o[n-a]=Math.max(l,c);else{if(p>1)return;o[n-a]=0}}return o}static isValidBroadcast(e,r){let t=e.length,s=r.length;if(t>s)return!1;for(let i=1;i<=t;i++)if(e[t-i]!==1&&e[t-i]!==r[s-i])return!1;return!0}},Te=class od{static size(r){return od.getSizeFromDimensionRange(r,0,r.length)}static convertShape(r,t=4){let s=r.length;if(s===0)return[];let i=new Array(s),n=s-1;for(;n>=0;){if(r[n]%t===0){i[n]=r[n]/t;break}if(t%r[n]!==0)throw new Error("cannot convert shape");i[n]=1,t/=r[n],n--}for(n--;n>=0;n--)i[n]=r[n];return i}static sizeFromDimension(r,t){if(t<0||t>r.length)throw new Error(`invalid dimension of ${t} for sizeFromDimension as Tensor has ${r.length} dimensions.`);return od.getSizeFromDimensionRange(r,t,r.length)}static sizeToDimension(r,t){if(t<0||t>r.length)throw new Error(`invalid dimension of ${t} for sizeToDimension as Tensor has ${r.length} dimensions.`);return od.getSizeFromDimensionRange(r,0,t)}static getSizeFromDimensionRange(r,t,s){let i=1;for(let n=t;n<s;n++){if(r[n]<0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains negative values in them.");i*=Number(r[n])}return i}static computeStrides(r){let t=r.length;if(t===0)return[];if(t===1)return[1];let s=new Array(t);s[t-1]=1,s[t-2]=r[t-1];for(let i=t-3;i>=0;--i)s[i]=s[i+1]*r[i+1];return s}static normalizeAxis(r,t){if(r<-t&&r>=t)throw new Error("unsupported axis for this operation.");return r<0?r+t:r}static normalizeAxes(r,t){return r.map(s=>this.normalizeAxis(s,t??r.length))}static sortBasedOnPerm(r,t){return t?t.map(s=>r[s]):r.slice().reverse()}static padShape(r,t){let s=r.length;return r.map((i,n)=>i+t[n]+t[n+s])}static areEqual(r,t){return r.length!==t.length?!1:r.every((s,i)=>s===t[i])}},Ta=class ha{static adjustPoolAttributes(r,t,s,i,n,o){if(!r&&s.length!==t.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(r)for(let a=0;a<t.length-2;a++)a>=s.length?s.push(t[a+2]):s[a]=t[a+2];for(let a=0;a<s.length;a++)if(a<i.length){if(i[a]<0)throw new Error("strides should be greater than or equal to 1")}else i.push(1);for(let a=0;a<s.length;a++)if(a<n.length){if(n[a]<0)throw new Error("dilations should be greater than or equal to 1")}else n.push(1);for(let a=0;a<s.length*2;a++)if(a<o.length){if(o[a]<0)throw new Error("pad should be greater than or equal to 1")}else o.push(0);for(let a=0;a<s.length;a++){if(s[a]<=0)throw new Error("kernel shapes need to be greater than 0");if(o[a]>=s[a]||o[a+s.length]>=s[a])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(r,t,s,i,n,o,a){if(a){if(n.length!==2*(r.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(t.length!==r.length-2)throw new Error("length of strides should be the length of data dimensions");if(i.length!==r.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let l=0;l<r.length-2;l++)ha.adjustPadAndReturnShape(r[l+(o?1:2)],t[l],s[l],i[l],n,l,l+r.length-2,a)}}static computePoolOutputShape(r,t,s,i,n,o,a){if(t.length<=0)throw new Error("input shape must be of size greater than 0");let l=[t[0],t[1]];return ha.computeShapeHelper(r,t,l,s,i,n,o,a),l}static computeConvOutputShape(r,t,s,i,n,o,a){if(r.length<=0||t.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let l=[r[0],t[0]];return ha.computeShapeHelper(!1,r,l,s,i,n,o,a),l}static computeShapeHelper(r,t,s,i,n,o,a,l){if(r)for(let c=0;c<t.length-2;c++)s.push(1);else for(let c=0;c<t.length-2;c++)s.push(ha.adjustPadAndReturnShape(t[c+2],i[c],n[c],o[c],a,c,c+t.length-2,l))}static adjustPadAndReturnShape(r,t,s,i,n,o,a,l){let c=s*(i-1)+1;if(l&&l!=="NOTSET")switch(l){case"VALID":return n[o]=0,n[a]=0,Math.floor((r-c)/t+1);case"SAME_LOWER":case"SAME_UPPER":if(s!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let p=((r+t-1)/t-1)*t+i-r;return n[o]=Math.floor(l==="SAME_LOWER"?(p+1)/2:p/2),n[a]=p-n[o],Math.floor((r+p-i)/t+1)}default:throw new Error("Unsupported AutoPad type")}else return Math.floor((r+n[o]+n[a]-c)/t+1)}},Lp=class{static getShapeOfGemmResult(e,r,t,s,i){if(e.length!==2||t.length!==2)throw new Error("shape need to be of size 2");let n,o,a;r?(n=e[1],o=e[0]):(n=e[0],o=e[1]);let l=-1;if(s?(a=t[0],l=1):(a=t[1],l=0),t[l]!==o)throw new Error("dimension mismatch");if(n<=0||a<=0||o<=0)throw new Error("invalid shape specified");if(i&&!Nn.isValidBroadcast(i,[n,a]))throw new Error("gemm: invalid bias shape for broadcast");return[n,a,o]}},zp=-34028234663852886e22,Bp=34028234663852886e22}),jn,xa,lr,xr,nt,Xt,Vd,Vn,Gs,rt,Fi,$e,tt,Rp,Ud,Np,jp,Tt=Ve(()=>{pt(),Mt(),jn=64,xa=(e,r)=>{if(r===3)throw new Error("vec3 has same alignment as vec4, use vec4 instead");switch(Number(e)){case 10:return r>1?`vec${r}<f16>`:"f16";case 1:return r>1?`vec${r}<f32>`:"f32";case 6:return r>1?`vec${r}<i32>`:"i32";case 12:return r>1?`vec${r}<u32>`:"u32";case 7:if(r>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","i32"];case 13:if(r>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","u32"];case 9:if(r!==4)throw new Error("bool must be vec4");return["u32","vec4<bool>"];case 22:return"i32";case 21:return"u32";default:throw new Error(`Unknown data type: ${e}`)}},lr=(e,r=1)=>{let t=xa(e,r);return typeof t=="string"?t:t[0]},xr=(e,r=1)=>{let t=xa(e,r);return typeof t=="string"?t:t[1]},nt=(...e)=>{let r=[];return e.forEach(t=>{t.length!==0&&r.push({type:12,data:t},{type:12,data:Te.computeStrides(t)})}),r},Xt=e=>e%4===0?4:e%2===0?2:1,Vd=(e="f32",r,t="0")=>!r||r===1?`${e}(${t})`:`vec${r}<${e}>(${t})`,Vn=(e,r,t)=>e==="f32"?t:r===1?`f32(${t})`:`vec${r}<f32>(${t})`,Gs=(e,r)=>r===4?`(${e}.x + ${e}.y + ${e}.z + ${e}.w)`:r===2?`(${e}.x + ${e}.y)`:r===3?`(${e}.x + ${e}.y + ${e}.z)`:e,rt=(e,r,t,s)=>e.startsWith("uniforms.")&&t>4?typeof r=="string"?s==="f16"?`${e}[(${r}) / 8][(${r}) % 8 / 4][(${r}) % 8 % 4]`:`${e}[(${r}) / 4][(${r}) % 4]`:s==="f16"?`${e}[${Math.floor(r/8)}][${Math.floor(r%8/4)}][${r%8%4}]`:`${e}[${Math.floor(r/4)}][${r%4}]`:t>1?`${e}[${r}]`:e,Fi=(e,r,t,s,i)=>{let n=typeof t=="number",o=n?t:t.length,a=[...new Array(o).keys()],l=o<2?"u32":o<=4?`vec${o}<u32>`:`array<u32, ${o}>`,c=xa(r,i),p=typeof c=="string"?c:c[1],u=typeof c=="string"?c:c[0],h={indices:l,value:p,storage:u,tensor:r},g=N=>typeof N=="string"?N:`${N}u`,_={offsetToIndices:!1,indicesToOffset:!1,broadcastedIndicesToOffset:!1,set:!1,setByIndices:!1,get:!1,getByIndices:!1},P=n?"uniforms.":"",A=`${P}${e}_shape`,v=`${P}${e}_strides`,y="";for(let N=0;N<o-1;N++)y+=`
+    let dim${N} = current / ${rt(v,N,o)};
+    let rest${N} = current % ${rt(v,N,o)};
+    indices[${N}] = dim${N};
+    current = rest${N};
+    `;y+=`indices[${o-1}] = current;`;let k=o<2?"":`
+  fn o2i_${e}(offset: u32) -> ${h.indices} {
+    var indices: ${h.indices};
+    var current = offset;
+    ${y}
+    return indices;
+  }`,E=N=>(_.offsetToIndices=!0,o<2?N:`o2i_${e}(${N})`),M=[];if(o>=2)for(let N=o-1;N>=0;N--)M.push(`${rt(v,N,o)} * (indices[${N}])`);let w=o<2?"":`
+  fn i2o_${e}(indices: ${h.indices}) -> u32 {
+    return ${M.join("+")};
+  }`,x=N=>(_.indicesToOffset=!0,o<2?N:`i2o_${e}(${N})`),$=(...N)=>o===0?"0u":`${h.indices}(${N.map(g).join(",")})`,z=(N,O)=>o<2?`${N}`:`${rt(N,O,o)}`,R=(N,O,G)=>o<2?`${N}=${G};`:`${rt(N,O,o)}=${G};`,Q={},q=(N,O)=>{_.broadcastedIndicesToOffset=!0;let G=`${O.name}broadcastedIndicesTo${e}Offset`;if(G in Q)return`${G}(${N})`;let se=[];for(let X=o-1;X>=0;X--){let we=O.indicesGet("outputIndices",X+O.rank-o);se.push(`${z(v,X)} * (${we} % ${z(A,X)})`)}return Q[G]=`fn ${G}(outputIndices: ${O.type.indices}) -> u32 {
+             return ${se.length>0?se.join("+"):"0u"};
+           }`,`${G}(${N})`},U=(N,O)=>(()=>{if(h.storage===h.value)return`${e}[${N}]=${O};`;if(h.storage==="vec2<u32>"&&h.value==="i32")return`${e}[${N}]=vec2<u32>(u32(${O}), select(0u, 0xFFFFFFFFu, ${O} < 0));`;if(h.storage==="vec2<u32>"&&h.value==="u32")return`${e}[${N}]=vec2<u32>(u32(${O}), 0u);`;if(h.storage==="u32"&&h.value==="vec4<bool>")return`${e}[${N}]=dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(${O}));`;throw new Error(`not supported combination of storage type ${h.storage} and value type ${h.value} yet`)})(),Z=N=>(()=>{if(h.storage===h.value)return`${e}[${N}]`;if(h.storage==="vec2<u32>"&&h.value==="i32")return`i32(${e}[${N}].x)`;if(h.storage==="vec2<u32>"&&h.value==="u32")return`u32(${e}[${N}].x)`;if(h.storage==="u32"&&h.value==="vec4<bool>")return`vec4<bool>(bool(${e}[${N}] & 0xFFu), bool(${e}[${N}] & 0xFF00u), bool(${e}[${N}] & 0xFF0000u), bool(${e}[${N}] & 0xFF000000u))`;throw new Error(`not supported combination of storage type ${h.storage} and value type ${h.value} yet`)})(),H=o<2?"":`
+  fn get_${e}ByIndices(indices: ${h.indices}) -> ${p} {
+    return ${Z(`i2o_${e}(indices)`)};
+  }`,J=o<2?"":(()=>{let N=a.map(G=>`d${G}: u32`).join(", "),O=a.map(G=>`d${G}`).join(", ");return`
+  fn get_${e}(${N}) -> ${p} {
+    return get_${e}ByIndices(${$(O)});
+  }`})(),ie=(...N)=>{if(N.length!==o)throw new Error(`indices length must be ${o}`);let O=N.map(g).join(",");return o===0?Z("0u"):o===1?Z(O[0]):(_.get=!0,_.getByIndices=!0,_.indicesToOffset=!0,`get_${e}(${O})`)},ae=N=>o<2?Z(N):(_.getByIndices=!0,_.indicesToOffset=!0,`get_${e}ByIndices(${N})`),ce=o<2?"":`
+  fn set_${e}ByIndices(indices: ${h.indices}, value: ${p}) {
+    ${U(`i2o_${e}(indices)`,"value")}
+  }`,he=o<2?"":(()=>{let N=a.map(G=>`d${G}: u32`).join(", "),O=a.map(G=>`d${G}`).join(", ");return`
+  fn set_${e}(${N}, value: ${p}) {
+    set_${e}ByIndices(${$(O)}, value);
+  }`})();return{impl:()=>{let N=[],O=!1;return _.offsetToIndices&&(N.push(k),O=!0),_.indicesToOffset&&(N.push(w),O=!0),_.broadcastedIndicesToOffset&&(Object.values(Q).forEach(G=>N.push(G)),O=!0),_.set&&(N.push(he),O=!0),_.setByIndices&&(N.push(ce),O=!0),_.get&&(N.push(J),O=!0),_.getByIndices&&(N.push(H),O=!0),!n&&O&&N.unshift(`const ${A} = ${h.indices}(${t.join(",")});`,`const ${v} = ${h.indices}(${Te.computeStrides(t).join(",")});`),N.join(`
+`)},type:h,offsetToIndices:E,indicesToOffset:x,broadcastedIndicesToOffset:q,indices:$,indicesGet:z,indicesSet:R,set:(...N)=>{if(N.length!==o+1)throw new Error(`indices length must be ${o}`);let O=N[o];if(typeof O!="string")throw new Error("value must be string");let G=N.slice(0,o).map(g).join(",");return o===0?U("0u",O):o===1?U(G[0],O):(_.set=!0,_.setByIndices=!0,_.indicesToOffset=!0,`set_${e}(${G}, ${O})`)},setByOffset:U,setByIndices:(N,O)=>o<2?U(N,O):(_.setByIndices=!0,_.indicesToOffset=!0,`set_${e}ByIndices(${N}, ${O});`),get:ie,getByOffset:Z,getByIndices:ae,usage:s,name:e,strides:v,shape:A,rank:o}},$e=(e,r,t,s=1)=>Fi(e,r,t,"input",s),tt=(e,r,t,s=1)=>Fi(e,r,t,"output",s),Rp=(e,r,t)=>Fi(e,r,t,"atomicOutput",1),Ud=(e,r,t,s=1)=>Fi(e,r,t,"internal",s),Np=class{constructor(e,r){this.normalizedDispatchGroup=e,this.limits=r,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(e){return`if (global_idx >= ${typeof e=="number"?`${e}u`:e}) { return; }`}mainStart(e=jn){let r=typeof e=="number"?e:e[0],t=typeof e=="number"?1:e[1],s=typeof e=="number"?1:e[2];if(r>this.limits.maxComputeWorkgroupSizeX||t>this.limits.maxComputeWorkgroupSizeY||s>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${r}, ${t}, ${s}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(r*t*s>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${r}, ${t}, ${s}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let i=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,n=i?`@builtin(global_invocation_id) global_id : vec3<u32>,
+    @builtin(workgroup_id) workgroup_id : vec3<u32>,
+    @builtin(local_invocation_index) local_idx : u32,
+    @builtin(local_invocation_id) local_id : vec3<u32>`:`@builtin(global_invocation_id) global_id : vec3<u32>,
+                                             @builtin(local_invocation_id) local_id : vec3<u32>,
+    @builtin(local_invocation_index) local_idx : u32,
+    @builtin(workgroup_id) workgroup_id : vec3<u32>,
+    @builtin(num_workgroups) num_workgroups : vec3<u32>`,o=i?`let global_idx = global_id.x;
+         let workgroup_index = workgroup_id.x;`:`let workgroup_index = workgroup_id.z * num_workgroups[0] * num_workgroups[1] +
+             workgroup_id.y * num_workgroups[0] + workgroup_id.x;
+         let global_idx = workgroup_index * ${r*t*s}u + local_idx;`;return`@compute @workgroup_size(${r}, ${t}, ${s})
+  fn main(${n}) {
+    ${o}
+  `}appendVariableUniforms(e){e.rank!==0&&(e.shape.startsWith("uniforms.")&&this.uniforms.push({name:e.shape.replace("uniforms.",""),type:"u32",length:e.rank}),e.strides.startsWith("uniforms.")&&this.uniforms.push({name:e.strides.replace("uniforms.",""),type:"u32",length:e.rank}))}declareVariable(e,r){if(e.usage==="internal")throw new Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(e),this.appendVariableUniforms(e);let t=e.usage==="input"?"read":"read_write",s=e.usage==="atomicOutput"?"atomic<i32>":e.type.storage;return`@group(0) @binding(${r}) var<storage, ${t}> ${e.name}: array<${s}>;`}declareVariables(...e){return e.map(r=>this.declareVariable(r,this.variableIndex++)).join(`
+`)}registerInternalVariable(e){if(e.usage!=="internal")throw new Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(e),this.appendVariableUniforms(e)}registerInternalVariables(...e){return e.forEach(r=>this.registerInternalVariable(r)),this}registerUniform(e,r,t=1){return this.uniforms.push({name:e,type:r,length:t}),this}registerUniforms(e){return this.uniforms=this.uniforms.concat(e),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let e=[];for(let{name:r,type:t,length:s}of this.uniforms)if(s&&s>4)t==="f16"?e.push(`@align(16) ${r}:array<mat2x4<${t}>, ${Math.ceil(s/8)}>`):e.push(`${r}:array<vec4<${t}>, ${Math.ceil(s/4)}>`);else{let i=s==null||s===1?t:`vec${s}<${t}>`;e.push(`${r}:${i}`)}return`
+      struct Uniforms { ${e.join(", ")} };
+      @group(0) @binding(${this.variableIndex}) var<uniform> uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(e=>e.impl()).join(`
+`)+this.internalVariables.map(e=>e.impl()).join(`
+`)}get variablesInfo(){if(this.uniforms.length===0)return;let e=r=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(r)];return this.uniforms.map(r=>[e(r.type),r.length??1])}},jp=(e,r)=>new Np(e,r)}),Vp,Wd,Up,Wp,Gp,Kp,Nr,Hp,qp,Ks=Ve(()=>{pt(),Mt(),Yt(),Tt(),Vp=(e,r)=>{if(!e||e.length!==1)throw new Error("Transpose requires 1 input.");if(r.length!==0&&r.length!==e[0].dims.length)throw new Error(`perm size ${r.length} does not match input rank ${e[0].dims.length}`)},Wd=(e,r)=>r.length!==0?r:[...new Array(e).keys()].reverse(),Up=(e,r)=>Te.sortBasedOnPerm(e,Wd(e.length,r)),Wp=(e,r,t,s)=>{let i=`fn perm(i: ${s.type.indices}) -> ${t.type.indices} {
+    var a: ${t.type.indices};`;for(let n=0;n<r;++n)i+=`a[${e[n]}]=i[${n}];`;return i+="return a;}"},Gp=(e,r)=>{let t=[],s=[];for(let i=0;i<e.length;++i)e[i]!==1&&t.push(e[i]),e[r[i]]!==1&&s.push(r[i]);return{newShape:t,newPerm:s}},Kp=(e,r)=>{let t=0;for(let s=0;s<e.length;++s)if(r[e[s]]!==1){if(e[s]<t)return!1;t=e[s]}return!0},Nr=(e,r)=>{let t=e.dataType,s=e.dims.length,i=Wd(s,r),n=Up(e.dims,i),o=e.dims,a=n,l=s<2||Kp(i,e.dims),c;if(l)return c=_=>{let P=$e("input",t,o,4),A=tt("output",t,a,4);return`
+  ${_.registerUniform("output_size","u32").declareVariables(P,A)}
+  ${_.mainStart()}
+    ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+    output[global_idx] = input[global_idx];
+  }`},{name:"TransposeCopy",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let _=Te.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(_/64/4)},programUniforms:[{type:12,data:Math.ceil(_/4)}]}},getShaderSource:c};let{newShape:p,newPerm:u}=Gp(e.dims,i),h=Te.areEqual(u,[2,3,1]),g=Te.areEqual(u,[3,1,2]);if(p.length===2||h||g){o=h?[p[0],p[1]*p[2]]:g?[p[0]*p[1],p[2]]:p,a=[o[1],o[0]];let _=16;return c=P=>{let A=$e("a",t,o.length),v=tt("output",t,a.length);return`
+  ${P.registerUniform("output_size","u32").declareVariables(A,v)}
+  var<workgroup> tile : array<array<${v.type.value}, ${_+1}>, ${_}>;
+  ${P.mainStart([_,_,1])}
+    let stride = (uniforms.output_shape[1] - 1) / ${_} + 1;
+    let workgroup_id_x = workgroup_index % stride;
+    let workgroup_id_y = workgroup_index / stride;
+    let input_col = workgroup_id_y * ${_}u + local_id.x;
+    let input_row = workgroup_id_x * ${_}u + local_id.y;
+    if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) {
+      tile[local_id.y][local_id.x] = ${A.getByIndices(`${A.type.indices}(input_row, input_col)`)};
+    }
+    workgroupBarrier();
+
+    let output_col = workgroup_id_x * ${_}u + local_id.x;
+    let output_row = workgroup_id_y * ${_}u + local_id.y;
+    if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) {
+      ${v.setByIndices(`${v.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")}
+    }
+  }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let P=Te.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(a[1]/_),y:Math.ceil(a[0]/_)},programUniforms:[{type:12,data:P},...nt(o,a)]}},getShaderSource:c}}return c=_=>{let P=$e("a",t,o.length),A=tt("output",t,a.length);return`
+  ${_.registerUniform("output_size","u32").declareVariables(P,A)}
+
+  ${Wp(i,s,P,A)}
+
+  ${_.mainStart()}
+    ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+
+    let indices = ${A.offsetToIndices("global_idx")};
+    let aIndices = perm(indices);
+
+    ${A.setByOffset("global_idx",P.getByIndices("aIndices"))}
+  }`},{name:"Transpose",shaderCache:{hint:`${r}`,inputDependencies:["rank"]},getRunData:()=>{let _=Te.size(n);return{outputs:[{dims:n,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:[{type:12,data:_},...nt(o,a)]}},getShaderSource:c}},Hp=(e,r)=>{Vp(e.inputs,r.perm),e.compute(Nr(e.inputs[0],r.perm))},qp=e=>Dt({perm:e.perm})}),Qp,Xp,Jp,Yp,Zp,eh,th,rh,sh,nh,ns,ih,oh,ah,lh,dh,ch,uh,ph,hh,mh,pv=Ve(()=>{pt(),Mt(),Tt(),Kd(),Ks(),Qp={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},Xp={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},Jp={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},Yp={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},Zp=(e,r)=>{let t=[];for(let s=r-e;s<r;++s)t.push(s);return t},eh=(e,r)=>{let t=[],s=e.length;for(let n=0;n<s;n++)r.indexOf(n)===-1&&t.push(e[n]);let i=r.map(n=>e[n]);return[t,i]},th=(e,r)=>{let t=e.length+r.length,s=[],i=0;for(let n=0;n<t;n++)r.indexOf(n)===-1?s.push(e[i++]):s.push(1);return s},rh=(e,r)=>{for(let t=0;t<e.length;++t)if(e[e.length-t-1]!==r-1-t)return!1;return!0},sh=(e,r)=>{let t=[];if(!rh(e,r)){for(let s=0;s<r;++s)e.indexOf(s)===-1&&t.push(s);e.forEach(s=>t.push(s))}return t},nh=(e,r,t,s,i,n,o)=>{let a=t[0].dims,l=Te.size(n),c=Te.size(o),p=$e("_A",t[0].dataType,a),u=tt("output",i,n),h=64;l===1&&(h=256);let g=`
+          var<workgroup> aBestValues : array<f32, ${h}>;
+       `,_=P=>`
+        ${P.registerUniform("reduceSize","u32").declareVariables(p,u)}
+        ${g}
+        fn DIV_CEIL(a : u32, b : u32) -> u32 {
+          return ((a - 1u) / b + 1u);
+         }
+         ${P.mainStart(h)}
+
+          let outputIndex = global_idx / ${h};
+          let offset = outputIndex * uniforms.reduceSize;
+
+          var bestValue = f32(${Jp[s]});
+          let Length = uniforms.reduceSize;
+          for (var k = local_idx; k < Length; k = k + ${h}) {
+           let candidate = f32(${p.getByOffset("offset + k")});
+           bestValue = ${Qp[s]};
+          }
+          aBestValues[local_idx] = bestValue;
+          workgroupBarrier();
+
+         var reduceSize = min(Length, ${h}u);
+         for (var currentSize = reduceSize / 2u; reduceSize > 1u;
+             currentSize = reduceSize / 2u) {
+           let interval = DIV_CEIL(reduceSize, 2u);
+           if (local_idx < currentSize) {
+            let candidate = aBestValues[local_idx + interval];
+            bestValue = ${Xp[s]};
+            aBestValues[local_idx] = bestValue;
+           }
+           reduceSize = interval;
+           workgroupBarrier();
+         }
+
+         if (local_idx == 0u) {
+          ${u.setByOffset("outputIndex",`${s==="mean"?`${u.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${u.type.storage}(${Yp[s]})`}`)};
+         }
+        }`;return{name:e,shaderCache:{hint:`${r};${h}`,inputDependencies:["type"]},getShaderSource:_,getRunData:()=>({outputs:[{dims:n,dataType:i}],dispatchGroup:{x:l},programUniforms:[{type:12,data:c}]})}},ns=(e,r,t,s)=>{let i=e.inputs.length===1?t:Gd(e.inputs,t),n=i.axes;n.length===0&&!i.noopWithEmptyAxes&&(n=e.inputs[0].dims.map((g,_)=>_));let o=Te.normalizeAxes(n,e.inputs[0].dims.length),a=o,l=e.inputs[0],c=sh(a,e.inputs[0].dims.length);c.length>0&&(l=e.compute(Nr(e.inputs[0],c),{inputs:[0],outputs:[-1]})[0],a=Zp(a.length,l.dims.length));let[p,u]=eh(l.dims,a),h=p;i.keepDims&&(h=th(p,o)),e.compute(nh(r,i.cacheKey,[l],s,e.inputs[0].dataType,h,u),{inputs:[l]})},ih=(e,r)=>{ns(e,"ReduceMeanShared",r,"mean")},oh=(e,r)=>{ns(e,"ReduceL1Shared",r,"l1")},ah=(e,r)=>{ns(e,"ReduceL2Shared",r,"l2")},lh=(e,r)=>{ns(e,"ReduceLogSumExpShared",r,"logSumExp")},dh=(e,r)=>{ns(e,"ReduceMaxShared",r,"max")},ch=(e,r)=>{ns(e,"ReduceMinShared",r,"min")},uh=(e,r)=>{ns(e,"ReduceProdShared",r,"prod")},ph=(e,r)=>{ns(e,"ReduceSumShared",r,"sum")},hh=(e,r)=>{ns(e,"ReduceSumSquareShared",r,"sumSquare")},mh=(e,r)=>{ns(e,"ReduceLogSumShared",r,"logSum")}}),is,fh,Ea,Gd,os,_h,gh,wh,yh,Mh,bh,vh,Th,xh,Eh,as,Ph,Ch,Sh,$h,kh,Ih,Ah,Fh,Oh,Dh,Kd=Ve(()=>{pt(),Mt(),Yt(),Tt(),pv(),is=e=>{if(!e||e.length===0||e.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(e.length===2&&e[1].dims.length!==1)throw new Error("Invalid axes input dims.")},fh=e=>["","",`var value = ${e.getByIndices("input_indices")};`,""],Ea=(e,r,t,s,i,n,o=!1,a=!1)=>{let l=[],c=t[0].dims,p=c.length,u=Te.normalizeAxes(i,p),h=!a&&u.length===0;c.forEach((P,A)=>{h||u.indexOf(A)>=0?o&&l.push(1):l.push(P)});let g=l.length,_=Te.size(l);return{name:e,shaderCache:r,getShaderSource:P=>{let A=[],v=$e("_A",t[0].dataType,p),y=tt("output",n,g),k=s(v,y,u),E=k[2];for(let M=0,w=0;M<p;M++)h||u.indexOf(M)>=0?(o&&w++,E=`for(var j${M}: u32 = 0; j${M} < ${c[M]}; j${M}++) {
+                  ${k[2].includes("last_index")?`let last_index = j${M};`:""}
+                  ${v.indicesSet("input_indices",M,`j${M}`)}
+                  ${E}
+                }`):(A.push(`${v.indicesSet("input_indices",M,y.indicesGet("output_indices",w))};`),w++);return`
+
+        ${P.registerUniform("output_size","u32").declareVariables(v,y)}
+
+        ${P.mainStart()}
+          ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+          var input_indices: ${v.type.indices};
+          let output_indices = ${y.offsetToIndices("global_idx")};
+
+          ${A.join(`
+`)}
+          ${k[0]}       // init ops for reduce max/min
+          ${k[1]}
+          ${E}
+          ${k[3]}
+          ${k.length===4?y.setByOffset("global_idx","value"):k.slice(4).join(`
+`)}
+        }`},getRunData:()=>({outputs:[{dims:l,dataType:n}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:[{type:12,data:_},...nt(c,l)]})}},Gd=(e,r)=>{let t=[];return e[1].dims[0]>0&&e[1].getBigInt64Array().forEach(s=>t.push(Number(s))),Dt({axes:t,keepDims:r.keepDims,noopWithEmptyAxes:r.noopWithEmptyAxes})},os=(e,r,t,s)=>{let i=e.inputs,n=i.length===1?t:Gd(i,t);e.compute(Ea(r,{hint:n.cacheKey,inputDependencies:["rank"]},[i[0]],n.noopWithEmptyAxes&&n.axes.length===0?fh:s,n.axes,i[0].dataType,n.keepDims,n.noopWithEmptyAxes),{inputs:[0]})},_h=(e,r)=>{is(e.inputs),os(e,"ReduceLogSum",r,(t,s)=>[`var value = ${s.type.storage}(0);`,"",`value += ${t.getByIndices("input_indices")};`,"value = log(value);"])},gh=(e,r)=>{is(e.inputs),os(e,"ReduceL1",r,(t,s)=>[`var value = ${s.type.storage}(0);`,"",`value += abs(${t.getByIndices("input_indices")});`,""])},wh=(e,r)=>{is(e.inputs),os(e,"ReduceL2",r,(t,s)=>[`var t = ${s.type.value}(0); var value = ${s.type.value}(0);`,"",`t = ${t.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},yh=(e,r)=>{is(e.inputs),os(e,"ReduceLogSumExp",r,(t,s)=>[`var value = ${s.type.storage}(0);`,"",`value += exp(${t.getByIndices("input_indices")});`,"value = log(value);"])},Mh=(e,r)=>{is(e.inputs),os(e,"ReduceMax",r,(t,s,i)=>{let n=[];for(let o=0;o<t.rank;o++)(i.indexOf(o)>=0||i.length===0)&&n.push(t.indicesSet("input_indices",o,0));return[`${n.join(`
+`)}`,`var value = ${t.getByIndices("input_indices")};`,`value = max(value, ${t.getByIndices("input_indices")});`,""]})},bh=(e,r)=>{is(e.inputs),os(e,"ReduceMean",r,(t,s,i)=>{let n=1;for(let o=0;o<t.rank;o++)(i.indexOf(o)>=0||i.length===0)&&(n*=e.inputs[0].dims[o]);return["var sum = f32(0);","",`sum += f32(${t.getByIndices("input_indices")});`,`let value = ${s.type.value}(sum / ${n});`]})},vh=(e,r)=>{is(e.inputs),os(e,"ReduceMin",r,(t,s,i)=>{let n=[];for(let o=0;o<t.rank;o++)(i.indexOf(o)>=0||i.length===0)&&n.push(`input_indices[${o}] = 0;`);return[`${n.join(`
+`)}`,`var value = ${t.getByIndices("input_indices")};`,`value = min(value, ${t.getByIndices("input_indices")});`,""]})},Th=(e,r)=>{is(e.inputs),os(e,"ReduceProd",r,(t,s)=>[`var value = ${s.type.storage}(1);`,"",`value *= ${t.getByIndices("input_indices")};`,""])},xh=(e,r)=>{is(e.inputs),os(e,"ReduceSum",r,(t,s)=>[`var value = ${s.type.storage}(0);`,"",`value += ${t.getByIndices("input_indices")};`,""])},Eh=(e,r)=>{is(e.inputs),os(e,"ReduceSumSquare",r,(t,s)=>[`var t = ${s.type.value}(0); var value = ${s.type.value}(0);`,"",`t = ${t.getByIndices("input_indices")}; value += t * t;`,""])},as=(e,r,t)=>{if(r.length===0)return t;let s=1,i=1;for(let n=0;n<r.length;n++)r.indexOf(n)===-1?s*=e[n]:i*=e[n];return i<32&&s>1024},Ph=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?bh(e,r):ih(e,r)},Ch=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?gh(e,r):oh(e,r)},Sh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?wh(e,r):ah(e,r)},$h=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?yh(e,r):lh(e,r)},kh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?Mh(e,r):dh(e,r)},Ih=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?vh(e,r):ch(e,r)},Ah=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?Th(e,r):uh(e,r)},Fh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?xh(e,r):ph(e,r)},Oh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?Eh(e,r):hh(e,r)},Dh=(e,r)=>{as(e.inputs[0].dims,r.axes,r.noopWithEmptyAxes)?_h(e,r):mh(e,r)}}),Hd,Lh,zh,qd,hv=Ve(()=>{pt(),Yt(),Kd(),Hd=e=>{if(!e||e.length===0||e.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(e[0].dataType!==1)throw new Error("Invalid input type.")},Lh=(e,r)=>{Hd(e.inputs);let t=(s,i,n)=>{let o=[];for(let a=0;a<s.rank;a++)(n.indexOf(a)>=0||n.length===0)&&o.push(`input_indices[${a}] = 0;`);return[`${o.join(`
+`)}`,`var value = ${s.getByIndices("input_indices")};
+var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLastIndex>0?"<=":"<"} value) {
+         value = ${s.getByIndices("input_indices")};
+         best_index = i32(last_index);
+       }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Ea("ArgMin",{hint:r.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],t,[r.axis],7,r.keepDims),{inputs:[0]})},zh=(e,r)=>{Hd(e.inputs);let t=(s,i,n)=>{let o=[];for(let a=0;a<s.rank;a++)(n.indexOf(a)>=0||n.length===0)&&o.push(`input_indices[${a}] = 0;`);return[`${o.join(`
+`)}`,`var value = ${s.getByIndices("input_indices")};
+var best_index : i32 = 0;`,`if (${s.getByIndices("input_indices")} ${r.selectLastIndex>0?">=":">"} value) {
+         value = ${s.getByIndices("input_indices")};
+         best_index = i32(last_index);
+       }`,"",i.setByOffset("global_idx","best_index")]};e.compute(Ea("argMax",{hint:r.cacheKey,inputDependencies:["rank"]},[e.inputs[0]],t,[r.axis],7,r.keepDims),{inputs:[0]})},qd=e=>Dt(e)}),Bh,Pa,Rh,Nh,jh,Oi,Vh,Uh,Qd=Ve(()=>{pt(),Mt(),Bd(),Tt(),Bh=(e,r)=>{let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4],a=e[5];if(o&&a)throw new Error("Attention cannot have both past and attention_bias");if(t.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let l=t.dims[0],c=t.dims[1],p=t.dims[2];if(i.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(s.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(s.dims[0]!==p)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(i.dims[0]!==s.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let u=i.dims[0]/3,h=u,g=h;if(r.qkvHiddenSizes.length>0){if(r.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let k of r.qkvHiddenSizes)if(k%r.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");u=r.qkvHiddenSizes[0],h=r.qkvHiddenSizes[1],g=r.qkvHiddenSizes[2]}let _=c;if(u!==h)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==u+h+g)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let P=0;if(o){if(h!==g)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(o.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(o.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(o.dims[1]!==l)throw new Error('Input "past" second dimension must be batch_size');if(o.dims[2]!==r.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(o.dims[4]!==h/r.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');r.pastPresentShareBuffer||(P=o.dims[3])}let A=_+P,v=-1,y=0;if(n)throw new Error("Mask not supported");if(o)throw new Error("past is not supported");if(a){if(a.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(a.dims[0]!==l||a.dims[1]!==r.numHeads||a.dims[2]!==c||a.dims[3]!==A)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:l,sequenceLength:c,pastSequenceLength:P,kvSequenceLength:_,totalSequenceLength:A,maxSequenceLength:v,inputHiddenSize:p,hiddenSize:u,vHiddenSize:g,headSize:Math.floor(u/r.numHeads),vHeadSize:Math.floor(g/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Pa=(e,r,t)=>r&&e?`
+      let total_sequence_length_input = u32(${r.getByOffset("0")});
+      let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length);
+      let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input;
+      let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input;
+      total_sequence_length = u32(${e==null?void 0:e.getByOffset("batchIdx")}) + 1;
+      var past_sequence_length: u32 = 0;
+      if (is_first_prompt == false) {
+        past_sequence_length = total_sequence_length - sequence_length;
+      }
+       `:`
+    ${t?"let past_sequence_length = uniforms.past_sequence_length":""};
+    let present_sequence_length = total_sequence_length;
+    `,Rh=(e,r,t,s,i,n,o,a)=>{let l=Xt(o?1:n),c=64,p=n/l;p<c&&(c=32);let u=Math.ceil(n/l/c),h=[{type:12,data:r},{type:12,data:t},{type:12,data:s},{type:12,data:i},{type:12,data:p},{type:12,data:u}],g=lr(e.dataType,l),_=xr(1,l),P=["type"];o&&P.push("type"),a&&P.push("type");let A=v=>{let y=tt("x",e.dataType,e.dims,l),k=[y],E=o?$e("seq_lens",o.dataType,o.dims):void 0;E&&k.push(E);let M=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;M&&k.push(M);let w=xr(e.dataType),x=[{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`
+  var<workgroup> thread_max: array<f32, ${c}>;
+  var<workgroup> thread_sum: array<f32, ${c}>;
+  ${v.registerUniforms(x).declareVariables(...k)}
+  ${v.mainStart([c,1,1])}
+    let batchIdx = workgroup_id.z / uniforms.num_heads;
+    let headIdx = workgroup_id.z % uniforms.num_heads;
+    let sequence_length = uniforms.sequence_length;
+    var total_sequence_length = uniforms.total_sequence_length;
+    ${Pa(E,M,!1)}
+    let local_offset = local_idx * uniforms.elements_per_thread;
+    let offset = (global_idx / ${c}) * uniforms.total_sequence_length + local_offset;
+    let seq_causal_length = ${o?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"};
+    var thread_max_vector = ${_}(-3.402823e+38f);
+    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
+      thread_max_vector = max(${_}(x[offset + i]), thread_max_vector);
+    }
+    thread_max[local_idx] = ${(()=>{switch(l){case 1:return"thread_max_vector";case 2:return"max(thread_max_vector.x, thread_max_vector.y)";case 4:return"max(max(thread_max_vector.x, thread_max_vector.y), max(thread_max_vector.z, thread_max_vector.w))";default:throw new Error(`Unsupported components: ${l}`)}})()};
+    workgroupBarrier();
+
+    var max_value =  f32(-3.402823e+38f);
+    for (var i = 0u; i < ${c}; i++) {
+      max_value = max(thread_max[i], max_value);
+    }
+
+    var sum_vector = ${_}(0);
+    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
+      sum_vector += exp(${_}(x[offset + i]) - max_value);
+    }
+    thread_sum[local_idx] = ${(()=>{switch(l){case 1:return"sum_vector";case 2:return"sum_vector.x + sum_vector.y";case 4:return"sum_vector.x + sum_vector.y + sum_vector.z + sum_vector.w";default:throw new Error(`Unsupported components: ${l}`)}})()};
+    workgroupBarrier();
+
+    var sum: f32 = 0;
+    for (var i = 0u; i < ${c}; i++) {
+      sum += thread_sum[i];
+    }
+
+    if (sum == 0) {
+      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
+        x[offset + i] = ${y.type.value}(${w}(1.0) / ${w}(seq_causal_length));
+      }
+    } else {
+      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
+        var f32input = ${_}(x[offset + i]);
+        x[offset + i] = ${y.type.value}(exp(f32input - max_value) / sum);
+      }
+    }
+      ${o?`
+        for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) {
+          x[offset + total_seq_id] = ${y.type.value}(${w}(0));
+        }`:""};
+  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${c};${g};${l}`,inputDependencies:P},getShaderSource:A,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:i,z:r*t},programUniforms:h})}},Nh=(e,r,t,s,i,n,o,a,l)=>{let c=o+n.kvSequenceLength,p=[n.batchSize,n.numHeads,n.sequenceLength,c],u=e>1&&s,h=n.kvNumHeads?n.kvNumHeads:n.numHeads,g=u?[n.batchSize,h,c,n.headSize]:void 0,_=n.nReps?n.nReps:1,P=n.scale===0?1/Math.sqrt(n.headSize):n.scale,A=Xt(n.headSize),v=n.headSize/A,y=12,k={x:Math.ceil(c/y),y:Math.ceil(n.sequenceLength/y),z:n.batchSize*n.numHeads},E=[{type:12,data:n.sequenceLength},{type:12,data:v},{type:12,data:c},{type:12,data:n.numHeads},{type:12,data:n.headSize},{type:1,data:P},{type:12,data:o},{type:12,data:n.kvSequenceLength},{type:12,data:_}],M=u&&s&&Te.size(s.dims)>0,w=["type","type"];M&&w.push("type"),i&&w.push("type"),a&&w.push("type"),l&&w.push("type");let x=[{dims:p,dataType:r.dataType,gpuDataType:0}];u&&x.push({dims:g,dataType:r.dataType,gpuDataType:0});let $=z=>{let R=$e("q",r.dataType,r.dims,A),Q=$e("key",t.dataType,t.dims,A),q=[R,Q];if(M){let ce=$e("past_key",s.dataType,s.dims,A);q.push(ce)}i&&q.push($e("attention_bias",i.dataType,i.dims));let U=a?$e("seq_lens",a.dataType,a.dims):void 0;U&&q.push(U);let Z=l?$e("total_sequence_length_input",l.dataType,l.dims):void 0;Z&&q.push(Z);let H=tt("output",r.dataType,p),J=[H];u&&J.push(tt("present_key",r.dataType,g,A));let ie=xr(1,A),ae=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
+  const TILE_SIZE = ${y}u;
+
+  var<workgroup> tileQ: array<${R.type.storage}, ${y*y}>;
+  var<workgroup> tileK: array<${R.type.storage}, ${y*y}>;
+  ${z.registerUniforms(ae).declareVariables(...q,...J)}
+  ${z.mainStart([y,y,1])}
+    // x holds the N and y holds the M
+    let headIdx = workgroup_id.z % uniforms.num_heads;
+    let kvHeadIdx = ${_===1?"headIdx":"headIdx / uniforms.n_reps"};
+    let kv_num_heads = ${_===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
+    let batchIdx = workgroup_id.z / uniforms.num_heads;
+    let m = workgroup_id.y * TILE_SIZE;
+    let n = workgroup_id.x * TILE_SIZE;
+    let sequence_length = uniforms.M;
+    var total_sequence_length = uniforms.N;
+    ${Pa(U,Z,!0)}
+    let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;
+    let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
+    ${M&&u?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""};
+    let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;
+    ${u?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""}
+    var value = ${ie}(0);
+    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
+      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {
+        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];
+      }
+      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {
+        var idx = TILE_SIZE * local_id.y + local_id.x;
+      ${M&&u?`
+              if (n + local_id.y < past_sequence_length) {
+                tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
+              } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
+                tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x];
+              }`:`
+          if (n + local_id.y < uniforms.kv_sequence_length) {
+            tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
+          }`}
+      ${u?`if (n + local_id.y < present_sequence_length) {
+        present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx];
+      }`:""}
+      }
+      workgroupBarrier();
+
+      for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
+          value += ${ie}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);
+      }
+
+      workgroupBarrier();
+    }
+
+    if (global_id.y < uniforms.M && global_id.x < total_sequence_length) {
+      let headOffset = workgroup_id.z * uniforms.M * uniforms.N;
+      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;
+      var sum: f32 = ${(()=>{switch(A){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw new Error(`Unsupported components: ${A}`)}})()};
+        output[outputIdx] = ${H.type.value} (sum * uniforms.alpha) + ${i?"attention_bias[outputIdx]":"0.0"};
+    }
+  }`};return{name:"AttentionProbs",shaderCache:{hint:`${A};${i!==void 0};${s!==void 0};${e}`,inputDependencies:w},getRunData:()=>({outputs:x,dispatchGroup:k,programUniforms:E}),getShaderSource:$}},jh=(e,r,t,s,i,n,o=void 0,a=void 0)=>{let l=n+i.kvSequenceLength,c=i.nReps?i.nReps:1,p=i.vHiddenSize*c,u=e>1&&s,h=i.kvNumHeads?i.kvNumHeads:i.numHeads,g=u?[i.batchSize,h,l,i.headSize]:void 0,_=[i.batchSize,i.sequenceLength,p],P=12,A={x:Math.ceil(i.vHeadSize/P),y:Math.ceil(i.sequenceLength/P),z:i.batchSize*i.numHeads},v=[{type:12,data:i.sequenceLength},{type:12,data:l},{type:12,data:i.vHeadSize},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:12,data:p},{type:12,data:n},{type:12,data:i.kvSequenceLength},{type:12,data:c}],y=u&&s&&Te.size(s.dims)>0,k=["type","type"];y&&k.push("type"),o&&k.push("type"),a&&k.push("type");let E=[{dims:_,dataType:r.dataType,gpuDataType:0}];u&&E.push({dims:g,dataType:r.dataType,gpuDataType:0});let M=w=>{let x=$e("probs",r.dataType,r.dims),$=$e("v",t.dataType,t.dims),z=[x,$];y&&z.push($e("past_value",s.dataType,s.dims));let R=o?$e("seq_lens",o.dataType,o.dims):void 0;o&&z.push(R);let Q=a?$e("total_sequence_length_input",a.dataType,a.dims):void 0;a&&z.push(Q);let q=[tt("output",r.dataType,_)];u&&q.push(tt("present_value",r.dataType,g));let U=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
+  const TILE_SIZE = ${P}u;
+  var<workgroup> tileQ: array<${x.type.value}, ${P*P}>;
+  var<workgroup> tileV: array<${x.type.value}, ${P*P}>;
+  ${w.registerUniforms(U).declareVariables(...z,...q)}
+  ${w.mainStart([P,P,1])}
+   let headIdx = workgroup_id.z % uniforms.num_heads;
+   let batchIdx = workgroup_id.z / uniforms.num_heads;
+   let kvHeadIdx = ${c===1?"headIdx":"headIdx / uniforms.n_reps"};
+   let kv_num_heads = ${c===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
+   let m = global_id.y;
+   let n = global_id.x;
+   let sequence_length = uniforms.M;
+   var total_sequence_length = uniforms.K;
+   ${Pa(R,Q,!0)}
+   let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
+   let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch
+   ${y&&u?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""};
+   let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;
+   ${u?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""}
+   var value = ${x.type.storage}(0);
+   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
+      if (m < uniforms.M && w + local_id.x < uniforms.K) {
+        tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];
+      }
+      if (n < uniforms.N && w + local_id.y < uniforms.K) {
+        var idx = TILE_SIZE * local_id.y + local_id.x;
+        ${y&&u?`
+        if (w + local_id.y < past_sequence_length) {
+          tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N];
+        } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
+          tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N];
+        }
+      `:`
+            if (w + local_id.y < uniforms.kv_sequence_length) {
+              tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N];
+            }`}
+        ${u?`
+            if (w + local_id.y < present_sequence_length) {
+          present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx];
+        }`:""}
+      }
+     workgroupBarrier();
+     for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) {
+       value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x];
+     }
+     workgroupBarrier();
+   }
+
+   // we need to transpose output from BNSH_v to BSND_v
+   if (m < uniforms.M && n < uniforms.N) {
+     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size
+       + headIdx * uniforms.N + n;
+     output[outputIdx] = value;
+   }
+  }`};return{name:"AttentionScore",shaderCache:{hint:`${s!==void 0};${e}`,inputDependencies:k},getRunData:()=>({outputs:E,dispatchGroup:A,programUniforms:v}),getShaderSource:M}},Oi=(e,r,t,s,i,n,o,a,l,c,p=void 0,u=void 0)=>{let h=Math.min(e.outputCount,1+(o?1:0)+(a?1:0)),g=h>1?c.pastSequenceLength:0,_=g+c.kvSequenceLength,P=l&&Te.size(l.dims)>0?l:void 0,A=[r,t];h>1&&o&&Te.size(o.dims)>0&&A.push(o),P&&A.push(P),p&&A.push(p),u&&A.push(u);let v=e.compute(Nh(h,r,t,o,P,c,g,p,u),{inputs:A,outputs:h>1?[-1,1]:[-1]})[0];e.compute(Rh(v,c.batchSize,c.numHeads,g,c.sequenceLength,_,p,u),{inputs:p&&u?[v,p,u]:[v],outputs:[]});let y=[v,s];h>1&&a&&Te.size(a.dims)>0&&y.push(a),p&&y.push(p),u&&y.push(u),e.compute(jh(h,v,s,a,c,g,p,u),{inputs:y,outputs:h>1?[0,2]:[0]})},Vh=(e,r)=>{let t=[r.batchSize,r.numHeads,r.sequenceLength,r.headSize],s=r.sequenceLength,i=r.inputHiddenSize,n=r.headSize,o=12,a={x:Math.ceil(r.headSize/o),y:Math.ceil(r.sequenceLength/o),z:r.batchSize*r.numHeads},l=[e.inputs[0],e.inputs[1],e.inputs[2]],c=[{type:12,data:s},{type:12,data:i},{type:12,data:n},{type:12,data:r.numHeads},{type:12,data:r.headSize},{type:12,data:r.hiddenSize},{type:12,data:r.hiddenSize+r.hiddenSize+r.vHiddenSize}],p=u=>{let h=tt("output_q",l[0].dataType,t),g=tt("output_k",l[0].dataType,t),_=tt("output_v",l[0].dataType,t),P=$e("input",l[0].dataType,l[0].dims),A=$e("weight",l[1].dataType,l[1].dims),v=$e("bias",l[2].dataType,l[2].dims),y=P.type.storage,k=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"hidden_size",type:"u32"},{name:"ldb",type:"u32"}];return`
+  const TILE_SIZE = ${o}u;
+  var<workgroup> tileInput: array<${y}, ${o*o}>;
+  var<workgroup> tileWeightQ: array<${y}, ${o*o}>;
+  var<workgroup> tileWeightK: array<${y}, ${o*o}>;
+  var<workgroup> tileWeightV: array<${y}, ${o*o}>;
+  ${u.registerUniforms(k).declareVariables(P,A,v,h,g,_)}
+  ${u.mainStart([o,o,1])}
+    let batchIndex = workgroup_id.z / uniforms.num_heads;
+    let headNumber = workgroup_id.z % uniforms.num_heads;
+    let m = global_id.y;
+    let n = global_id.x;
+
+    let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;
+    let biasOffsetQ = headNumber * uniforms.head_size;
+    let biasOffsetK = uniforms.hidden_size + biasOffsetQ;
+    let biasOffsetV = uniforms.hidden_size + biasOffsetK;
+
+    var valueQ = ${y}(0);
+    var valueK = ${y}(0);
+    var valueV = ${y}(0);
+    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
+      if (m < uniforms.M && w + local_id.x < uniforms.K) {
+        tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];
+      }
+      if (n < uniforms.N && w + local_id.y < uniforms.K) {
+        let offset = n + (w + local_id.y) * uniforms.ldb;
+        tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];
+        tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];
+        tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];
+      }
+      workgroupBarrier();
+      for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {
+        let inputTileOffset = TILE_SIZE * local_id.y + k;
+        let weightTileOffset = TILE_SIZE * k + local_id.x;
+        valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];
+        valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];
+        valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];
+      }
+
+      workgroupBarrier();
+    }
+
+    let headOffset = (m * uniforms.N + n) % uniforms.head_size;
+    valueQ += bias[headOffset + biasOffsetQ];
+    valueK += bias[headOffset + biasOffsetK];
+    valueV += bias[headOffset + biasOffsetV];
+
+    let offset = workgroup_id.z * uniforms.M * uniforms.N;
+    if (m < uniforms.M && n < uniforms.N) {
+      let outputIdx = offset + m * uniforms.N + n;
+      output_q[outputIdx] = valueQ;
+      output_k[outputIdx] = valueK;
+      output_v[outputIdx] = valueV;
+    }
+  }`};return e.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:a,programUniforms:c}),getShaderSource:p},{inputs:l,outputs:[-1,-1,-1]})},Uh=(e,r)=>{let t=Bh(e.inputs,r),[s,i,n]=Vh(e,t);return Oi(e,s,i,n,e.inputs[4],void 0,void 0,void 0,e.inputs[5],t)}}),Wh,Gh,Kh,Hh,mv=Ve(()=>{ss(),pt(),Mt(),Yt(),Tt(),Wh=(e,r)=>{if(!e||e.length!==5)throw new Error("BatchNormalization requires 5 inputs");let t=(s,i,n)=>{let o=i.length;if(o!==s.length)throw new Error(`${n}: num dimensions != ${o}`);i.forEach((a,l)=>{if(a!==s[l])throw new Error(`${n}: dim[${l}] do not match`)})};if(e[0].dims.length>1){let s=r.format==="NHWC"?r.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,r.spatial?2:void 0);t(e[1].dims,s,"Invalid input scale"),t(e[2].dims,s,"Invalid input B"),t(e[3].dims,s,"Invalid input mean"),t(e[4].dims,s,"Invalid input var")}else t(e[1].dims,[1],"Invalid input scale"),t(e[2].dims,[1],"Invalid input B"),t(e[3].dims,[1],"Invalid input mean"),t(e[4].dims,[1],"Invalid input var")},Gh=(e,r)=>{let{epsilon:t,spatial:s,format:i}=r,n=e[0].dims,o=s?Xt(n[n.length-1]):1,a=i==="NHWC"&&n.length>1?o:1,l=Te.size(n)/o,c=s,p=c?n.length:n,u=$e("x",e[0].dataType,e[0].dims,o),h=$e("scale",e[1].dataType,e[1].dims,a),g=$e("bias",e[2].dataType,e[2].dims,a),_=$e("inputMean",e[3].dataType,e[3].dims,a),P=$e("inputVar",e[4].dataType,e[4].dims,a),A=tt("y",e[0].dataType,p,o),v=()=>{let k="";if(s)k=`let cOffset = ${n.length===1?"0u":i==="NHWC"?`outputIndices[${n.length-1}] / ${o}`:"outputIndices[1]"};`;else if(i==="NCHW")k=`
+            ${A.indicesSet("outputIndices","0","0")}
+            let cOffset = ${A.indicesToOffset("outputIndices")};`;else{k=`var cIndices = ${h.type.indices}(0);
+                       cIndices[0] = outputIndices[${n.length-1}];`;for(let E=1;E<h.rank;E++)k+=`cIndices[${E}] = outputIndices[${E}];`;k+=`let cOffset = ${h.indicesToOffset("cIndices")};`}return k},y=k=>`
+  const epsilon = ${t};
+  ${k.registerUniform("outputSize","u32").declareVariables(u,h,g,_,P,A)}
+  ${k.mainStart()}
+  ${k.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+    var outputIndices = ${A.offsetToIndices(`global_idx * ${o}`)};
+    ${v()}
+    let scale = ${h.getByOffset("cOffset")};
+    let bias = ${g.getByOffset("cOffset")};
+    let inputMean = ${_.getByOffset("cOffset")};
+    let inputVar = ${P.getByOffset("cOffset")};
+    let x = ${u.getByOffset("global_idx")};
+    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
+    ${A.setByOffset("global_idx","value")}
+  }`;return{name:"BatchNormalization",shaderCache:{hint:`${r.epsilon}_${r.format}_${s}_${o}`,inputDependencies:c?["rank","type","type","type","type"]:void 0},getShaderSource:y,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:c?[{type:12,data:l},...nt(n)]:[{type:12,data:l}]})}},Kh=e=>Dt(e),Hh=(e,r)=>{let{inputs:t,outputCount:s}=e,i=Kh({...r,outputCount:s});if(Ut.webgpu.validateInputContent&&Wh(t,i),r.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");e.compute(Gh(t,i))}}),qh,Qh,Xh,fv=Ve(()=>{Mt(),Tt(),qh=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(e[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Qh=e=>{let r=e[0].dims,t=e[0].dims[2],s=Te.size(r)/4,i=e[0].dataType,n=$e("input",i,r,4),o=$e("bias",i,[t],4),a=$e("residual",i,r,4),l=tt("output",i,r,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)}}),getShaderSource:c=>`
+  const channels = ${t}u / 4;
+  ${c.declareVariables(n,o,a,l)}
+
+  ${c.mainStart()}
+    ${c.guardAgainstOutOfBoundsWorkgroupSizes(s)}
+    let value = ${n.getByOffset("global_idx")}
+      + ${o.getByOffset("global_idx % channels")} + ${a.getByOffset("global_idx")};
+    ${l.setByOffset("global_idx","value")}
+  }`}},Xh=e=>{qh(e.inputs),e.compute(Qh(e.inputs))}}),Jh,$t,Yh,Zh,em,tm,rm,sm,nm,im,om,am,lm,dm,cm,um,Di,pm,Ca,hm,mm,fm,_m,gm,wm,ym,Mm,bm,vm,Tm,xm,Em,Pm,Cm,Sm,Xd,$m,Jd,Yd,km,Im,Am,Fm,Om,Dm,Zd=Ve(()=>{pt(),Mt(),Yt(),Tt(),Jh=(e,r,t,s,i,n,o)=>{let a=Math.ceil(r/4),l="";typeof i=="string"?l=`${i}(a)`:l=i("a");let c=$e("inputData",t,[a],4),p=tt("outputData",s,[a],4),u=[{name:"vec_size",type:"u32"}];return o&&u.push(...o),`
+      ${e.registerUniforms(u).declareVariables(c,p)}
+
+  ${n??""}
+
+  ${e.mainStart()}
+    ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
+
+    let a = ${c.getByOffset("global_idx")};
+    ${p.setByOffset("global_idx",l)}
+  }`},$t=(e,r,t,s,i,n=e.dataType,o,a)=>{let l=[{type:12,data:Math.ceil(Te.size(e.dims)/4)}];return o&&l.push(...o),{name:r,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:c=>Jh(c,Te.size(e.dims),e.dataType,n,t,s,a),getRunData:c=>({outputs:[{dims:e.dims,dataType:n}],dispatchGroup:{x:Math.ceil(Te.size(c[0].dims)/64/4)},programUniforms:l})}},Yh=e=>{e.compute($t(e.inputs[0],"Abs","abs"))},Zh=e=>{e.compute($t(e.inputs[0],"Acos","acos"))},em=e=>{e.compute($t(e.inputs[0],"Acosh","acosh"))},tm=e=>{e.compute($t(e.inputs[0],"Asin","asin"))},rm=e=>{e.compute($t(e.inputs[0],"Asinh","asinh"))},sm=e=>{e.compute($t(e.inputs[0],"Atan","atan"))},nm=e=>{e.compute($t(e.inputs[0],"Atanh","atanh"))},im=e=>Dt(e),om=(e,r)=>{let t;switch(r.to){case 10:t="vec4<f16>";break;case 1:t="vec4<f32>";break;case 12:t="vec4<u32>";break;case 6:t="vec4<i32>";break;case 9:t="vec4<bool>";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${r.to}`)}e.compute($t(e.inputs[0],"Cast",t,void 0,r.cacheKey,r.to))},am=e=>{let r,t,s=e.length>=2&&e[1].data!==0,i=e.length>=3&&e[2].data!==0;switch(e[0].dataType){case 1:r=s?e[1].getFloat32Array()[0]:-34028234663852886e22,t=i?e[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:r=s?e[1].getUint16Array()[0]:64511,t=i?e[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return Dt({min:r,max:t})},lm=(e,r)=>{let t=r||am(e.inputs),s=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Clip",i=>`clamp(${i}, vec4<${s}>(uniforms.min), vec4<${s}>(uniforms.max))`,void 0,t.cacheKey,void 0,[{type:e.inputs[0].dataType,data:t.min},{type:e.inputs[0].dataType,data:t.max}],[{name:"min",type:s},{name:"max",type:s}]),{inputs:[0]})},dm=e=>{e.compute($t(e.inputs[0],"Ceil","ceil"))},cm=e=>{e.compute($t(e.inputs[0],"Cos","cos"))},um=e=>{e.compute($t(e.inputs[0],"Cosh","cosh"))},Di=e=>Dt(e),pm=(e,r)=>{let t=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Elu",s=>`elu_vf32(${s})`,`
+  const elu_alpha_ = ${t}(${r.alpha});
+
+  fn elu_f32(a: ${t}) -> ${t} {
+  return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);
+  }
+
+  fn elu_vf32(v: vec4<${t}>) -> vec4<${t}> {
+  return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));
+  }`,r.cacheKey))},Ca=(e="f32")=>`
+const r0: ${e} = 0.3275911;
+const r1: ${e} = 0.254829592;
+const r2: ${e} = -0.284496736;
+const r3: ${e} = 1.421413741;
+const r4: ${e} = -1.453152027;
+const r5: ${e} = 1.061405429;
+
+fn erf_vf32(v: vec4<${e}>) -> vec4<${e}> {
+  let absv = abs(v);
+  let x = 1.0 / (1.0 + r0 * absv);
+  return sign(v) * (1.0 - ((((r5 * x + r4) * x + r3) * x + r2) * x + r1) * x * exp(-absv * absv));
+}`,hm=e=>{let r=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Erf",t=>`erf_vf32(${t})`,Ca(r)))},mm=e=>{e.compute($t(e.inputs[0],"Exp","exp"))},fm=e=>{e.compute($t(e.inputs[0],"Floor","floor"))},_m=e=>{let r=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Gelu",t=>`0.5 * ${t} * (1.0 + erf_vf32(${t} * 0.7071067811865475))`,Ca(r)))},gm=(e,r)=>{let t=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"LeakyRelu",s=>`select(leaky_relu_alpha_ * ${s}, ${s}, ${s} >= vec4<${t}>(0.0))`,`const leaky_relu_alpha_ = ${t}(${r.alpha});`,r.cacheKey))},wm=e=>{e.compute($t(e.inputs[0],"Not",r=>`!${r}`))},ym=e=>{e.compute($t(e.inputs[0],"Neg",r=>`-${r}`))},Mm=e=>{e.compute($t(e.inputs[0],"Reciprocal",r=>`1.0/${r}`))},bm=e=>{let r=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"Relu",t=>`select(vec4<${r}>(0.0), ${t}, ${t} > vec4<${r}>(0.0))`))},vm=e=>{e.compute($t(e.inputs[0],"Sigmoid",r=>`(1.0 / (1.0 + exp(-${r})))`))},Tm=e=>Dt(e),xm=(e,r)=>{let t=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"HardSigmoid",s=>`max(vec4<${t}>(0.0), min(vec4<${t}>(1.0), ${r.alpha} * ${s} + vec4<${t}>(${r.beta})))`,void 0,r.cacheKey))},Em=e=>{e.compute($t(e.inputs[0],"Sin","sin"))},Pm=e=>{e.compute($t(e.inputs[0],"Sinh","sinh"))},Cm=e=>{e.compute($t(e.inputs[0],"Sqrt","sqrt"))},Sm=e=>{e.compute($t(e.inputs[0],"Tan","tan"))},Xd=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,$m=e=>{e.compute($t(e.inputs[0],"Tanh",Xd))},Jd=(e="f32")=>`
+const fast_gelu_a: ${e} = 0.5;
+const fast_gelu_b: ${e} = 0.7978845608028654;
+const fast_gelu_c: ${e} = 0.035677408136300125;
+
+fn tanh_v(v: vec4<${e}>) -> vec4<${e}> {
+  return ${Xd("v")};
+}
+`,Yd=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,km=e=>{let r=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"FastGelu",Yd,Jd(r),void 0,e.inputs[0].dataType))},Im=(e,r)=>{let t=xr(e.inputs[0].dataType);return e.compute($t(e.inputs[0],"ThresholdedRelu",s=>`select(vec4<${t}>(0.0), ${s}, ${s} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${t}>(${r.alpha});`,r.cacheKey)),0},Am=e=>{e.compute($t(e.inputs[0],"Log","log"))},Fm=(e,r)=>`
+const alpha = vec4<${e}>(${r});
+const one = ${e}(1.0);
+const zero = ${e}(0.0);
+
+fn quick_gelu_impl(x: vec4<${e}>) -> vec4<${e}> {
+  let v = x *alpha;
+  var x1 : vec4<${e}>;
+  for (var i = 0; i < 4; i = i + 1) {
+    if (v[i] >= zero) {
+      x1[i] = one / (one + exp(-v[i]));
+    } else {
+      x1[i] = one - one / (one + exp(v[i]));
+    }
+  }
+  return x * x1;
+}
+`,Om=e=>`quick_gelu_impl(${e})`,Dm=(e,r)=>{let t=xr(e.inputs[0].dataType);e.compute($t(e.inputs[0],"QuickGelu",Om,Fm(t,r.alpha),r.cacheKey,e.inputs[0].dataType))}}),Lm,zm,Bm,_v=Ve(()=>{Mt(),Tt(),Zd(),Lm=e=>{if(e[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(e[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(e[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(e[0].dims[2]!==e[1].dims[0])throw new Error("last dimension of input and bias are not the same")},zm=e=>{let r=e[0].dims.slice();r[2]=r[2]/2;let t=$e("input",e[0].dataType,e[0].dims,4),s=$e("bias",e[0].dataType,[e[0].dims[2]],4),i=tt("output",e[0].dataType,r,4),n=Te.size(r)/4,o=lr(e[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)}}),getShaderSource:a=>`
+  const M_SQRT2 = sqrt(2.0);
+  const halfChannels = ${e[0].dims[2]/4/2}u;
+
+  ${a.declareVariables(t,s,i)}
+
+  ${Ca(o)}
+
+  ${a.mainStart()}
+    ${a.guardAgainstOutOfBoundsWorkgroupSizes(n)}
+    let biasIdx = global_idx % halfChannels;
+    let batchIndex = global_idx / halfChannels;
+    let inputOffset = biasIdx + batchIndex * halfChannels * 2;
+    let valueLeft = input[inputOffset] + bias[biasIdx];
+    let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];
+    let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);
+
+    ${i.setByOffset("global_idx","valueLeft * geluRight")}
+  }`}},Bm=e=>{Lm(e.inputs),e.compute(zm(e.inputs))}}),Rm,Nm,ls,jm,Vm,Um,Wm,Gm,Km,Hm,qm,Qm,Xm,gv=Ve(()=>{pt(),Mt(),Tt(),Rm=(e,r,t,s,i,n,o,a,l,c,p,u)=>{let h,g;typeof a=="string"?h=g=(y,k)=>`${a}((${y}),(${k}))`:typeof a=="function"?h=g=a:(h=a.scalar,g=a.vector);let _=tt("outputData",p,s.length,4),P=$e("aData",l,r.length,4),A=$e("bData",c,t.length,4),v;if(i)if(n){let y=Te.size(r)===1,k=Te.size(t)===1,E=r.length>0&&r[r.length-1]%4===0,M=t.length>0&&t[t.length-1]%4===0;y||k?v=_.setByOffset("global_idx",g(y?`${P.type.value}(${P.getByOffset("0")}.x)`:P.getByOffset("global_idx"),k?`${A.type.value}(${A.getByOffset("0")}.x)`:A.getByOffset("global_idx"))):v=`
+            let outputIndices = ${_.offsetToIndices("global_idx * 4u")};
+            let offsetA = ${P.broadcastedIndicesToOffset("outputIndices",_)};
+            let offsetB = ${A.broadcastedIndicesToOffset("outputIndices",_)};
+            ${_.setByOffset("global_idx",g(o||E?P.getByOffset("offsetA / 4u"):`${P.type.value}(${P.getByOffset("offsetA / 4u")}[offsetA % 4u])`,o||M?A.getByOffset("offsetB / 4u"):`${A.type.value}(${A.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
+          `}else v=_.setByOffset("global_idx",g(P.getByOffset("global_idx"),A.getByOffset("global_idx")));else{if(!n)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let y=(k,E,M="")=>{let w=`aData[indexA${E}][componentA${E}]`,x=`bData[indexB${E}][componentB${E}]`;return`
+            let outputIndices${E} = ${_.offsetToIndices(`global_idx * 4u + ${E}u`)};
+            let offsetA${E} = ${P.broadcastedIndicesToOffset(`outputIndices${E}`,_)};
+            let offsetB${E} = ${A.broadcastedIndicesToOffset(`outputIndices${E}`,_)};
+            let indexA${E} = offsetA${E} / 4u;
+            let indexB${E} = offsetB${E} / 4u;
+            let componentA${E} = offsetA${E} % 4u;
+            let componentB${E} = offsetB${E} % 4u;
+            ${k}[${E}] = ${M}(${h(w,x)});
+          `};p===9?v=`
+            var data = vec4<u32>(0);
+            ${y("data",0,"u32")}
+            ${y("data",1,"u32")}
+            ${y("data",2,"u32")}
+            ${y("data",3,"u32")}
+            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:v=`
+            ${y("outputData[global_idx]",0)}
+            ${y("outputData[global_idx]",1)}
+            ${y("outputData[global_idx]",2)}
+            ${y("outputData[global_idx]",3)}
+          `}return`
+        ${e.registerUniform("vec_size","u32").declareVariables(P,A,_)}
+
+        ${u??""}
+
+        ${e.mainStart()}
+        ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
+        ${v}
+      }`},Nm=(e,r,t,s,i,n,o=t.dataType)=>{let a=t.dims.map(P=>Number(P)??1),l=s.dims.map(P=>Number(P)??1),c=!Te.areEqual(a,l),p=a,u=Te.size(a),h=!1,g=!1,_=[c];if(c){let P=Nn.calcShape(a,l,!1);if(!P)throw new Error("Can't perform binary op on the given tensors");p=P.slice(),u=Te.size(p);let A=Te.size(a)===1,v=Te.size(l)===1,y=a.length>0&&a[a.length-1]%4===0,k=l.length>0&&l[l.length-1]%4===0;_.push(A),_.push(v),_.push(y),_.push(k);let E=1;for(let M=1;M<p.length;M++){let w=a[a.length-M],x=l[l.length-M];if(w===x)E*=w;else break}E%4===0?(g=!0,h=!0):(A||v||y||k)&&(h=!0)}else h=!0;return _.push(h),{name:e,shaderCache:{hint:r+_.map(P=>P.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:P=>Rm(P,a,l,p,h,c,g,i,t.dataType,s.dataType,o,n),getRunData:()=>({outputs:[{dims:p,dataType:o}],dispatchGroup:{x:Math.ceil(u/64/4)},programUniforms:[{type:12,data:Math.ceil(Te.size(p)/4)},...nt(a,l,p)]})}},ls=(e,r,t,s,i,n)=>{e.compute(Nm(r,i??"",e.inputs[0],e.inputs[1],t,s,n))},jm=e=>{ls(e,"Add",(r,t)=>`${r}+${t}`)},Vm=e=>{ls(e,"Div",(r,t)=>`${r}/${t}`)},Um=e=>{ls(e,"Equal",{scalar:(r,t)=>`u32(${r}==${t})`,vector:(r,t)=>`vec4<u32>(${r}==${t})`},void 0,void 0,9)},Wm=e=>{ls(e,"Mul",(r,t)=>`${r}*${t}`)},Gm=e=>{let r=$e("input",e.inputs[0].dataType,e.inputs[0].dims).type.value;ls(e,"Pow",{scalar:(t,s)=>`pow_custom(${t},${s})`,vector:(t,s)=>`pow_vector_custom(${t},${s})`},`
+    fn pow_custom(a : ${r}, b : ${r}) -> ${r} {
+      if (b == ${r}(0.0)) {
+        return ${r}(1.0);
+      } else if (a < ${r}(0.0) && f32(b) != floor(f32(b))) {
+        return ${r}(pow(f32(a), f32(b))); // NaN
+      }
+      return select(sign(a), ${r}(1.0), round(f32(abs(b) % ${r}(2.0))) != 1.0) * ${r}(${r==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
+    }
+    fn pow_vector_custom(a : vec4<${r}>, b : vec4<${r}>) -> vec4<${r}> {
+      // TODO: implement vectorized pow
+      return vec4<${r}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
+    }
+      `)},Km=e=>{ls(e,"Sub",(r,t)=>`${r}-${t}`)},Hm=e=>{ls(e,"Greater",{scalar:(r,t)=>`u32(${r}>${t})`,vector:(r,t)=>`vec4<u32>(${r}>${t})`},void 0,void 0,9)},qm=e=>{ls(e,"Less",{scalar:(r,t)=>`u32(${r}<${t})`,vector:(r,t)=>`vec4<u32>(${r}<${t})`},void 0,void 0,9)},Qm=e=>{ls(e,"GreaterOrEqual",{scalar:(r,t)=>`u32(${r}>=${t})`,vector:(r,t)=>`vec4<u32>(${r}>=${t})`},void 0,void 0,9)},Xm=e=>{ls(e,"LessOrEqual",{scalar:(r,t)=>`u32(${r}<=${t})`,vector:(r,t)=>`vec4<u32>(${r}<=${t})`},void 0,void 0,9)}}),Jm,Ym,Zm,ef,tf,rf,wv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Jm=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");let t=0,s=e[t],i=s.dataType,n=s.dims.length;e.forEach((o,a)=>{if(a!==t){if(o.dataType!==i)throw new Error("input tensors should be one type");if(o.dims.length!==n)throw new Error("input tensors should have the same shape");o.dims.forEach((l,c)=>{if(c!==r&&l!==s.dims[c])throw new Error("non concat dimensions must match")})}})},Ym=(e,r)=>`
+  fn calculateInputIndex(index: u32) -> u32 {
+    let sizeInConcatAxis = array<u32, ${e}u>(${r});
+    for (var i: u32 = 0u; i < ${e}; i += 1u ) {
+      if (index < sizeInConcatAxis[i]) {
+        return i;
+      }
+    }
+    return ${e}u;
+  }`,Zm=(e,r)=>{let t=e.length,s=[];for(let i=0;i<t;++i){let n=r.setByOffset("global_idx",e[i].getByIndices("indices"));t===1?s.push(n):i===0?s.push(`if (inputIndex == ${i}u) { ${n} }`):i===t-1?s.push(`else { ${n} }`):s.push(`else if (inputIndex == ${i}) { ${n} }`)}return s.join(`
+`)},ef=(e,r,t,s)=>{let i=Te.size(t),n=new Array(e.length),o=new Array(e.length),a=0,l=[],c=[],p=[{type:12,data:i}];for(let P=0;P<e.length;++P)a+=e[P].dims[r],n[P]=a,c.push(e[P].dims.length),o[P]=$e(`input${P}`,s,c[P]),l.push("rank"),p.push({type:12,data:n[P]});for(let P=0;P<e.length;++P)p.push(...nt(e[P].dims));p.push(...nt(t));let u=tt("output",s,t.length),h=u.indicesGet("indices",r),g=Array.from(Array(n.length).keys()).map(P=>`uniforms.sizeInConcatAxis${P}`).join(","),_=P=>`
+
+  ${(()=>{P.registerUniform("outputSize","u32");for(let A=0;A<e.length;A++)P.registerUniform(`sizeInConcatAxis${A}`,"u32");return P.declareVariables(...o,u)})()}
+
+  ${Ym(n.length,g)}
+
+  ${P.mainStart()}
+    ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+
+    var indices = ${u.offsetToIndices("global_idx")};
+
+    let inputIndex = calculateInputIndex(${h});
+    if (inputIndex != 0u) {
+      let sizeInConcatAxis = array<u32, ${n.length}u>(${g});
+      ${h} -= sizeInConcatAxis[inputIndex - 1u];
+    }
+
+    ${Zm(o,u)}
+  }`;return{name:"Concat",shaderCache:{hint:`${r}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:t,dataType:s}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:p}),getShaderSource:_}},tf=(e,r)=>{let t=e.inputs,s=t[0].dims,i=Te.normalizeAxis(r.axis,s.length);Jm(t,i);let n=s.slice();n[i]=t.reduce((a,l)=>a+(l.dims.length>i?l.dims[i]:0),0);let o=t.filter(a=>Te.size(a.dims)>0);e.compute(ef(o,i,n,t[0].dataType),{inputs:o})},rf=e=>Dt({axis:e.axis})}),_n,gn,wn,ec,yn=Ve(()=>{pt(),Mt(),_n=(e,r,t="f32")=>{switch(e.activation){case"Relu":return`value = max(value, ${r}(0.0));`;case"Sigmoid":return`value = (${r}(1.0) / (${r}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${r}(${t}(uniforms.clip_min)), ${r}(${t}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${r}(0.0), min(${r}(1.0), ${t}(uniforms.alpha) * value + ${t}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${t}(uniforms.alpha) * value, value, value >= ${r}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value));
+              value = sign(value) * (1.0 - e2x) / (1.0 + e2x);
+        `;case"":return"";default:throw new Error(`Unsupported activation ${e.activation}`)}},gn=(e,r)=>{e.activation==="Clip"?r.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation==="HardSigmoid"?r.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation==="LeakyRelu"&&r.push({type:1,data:e.alpha})},wn=(e,r)=>{e.activation==="Clip"?r.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):e.activation==="HardSigmoid"?r.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):e.activation==="LeakyRelu"&&r.push({name:"alpha",type:"f32"})},ec=e=>{let r=(e==null?void 0:e.activation)||"";if(r==="HardSigmoid"){let[t,s]=(e==null?void 0:e.activation_params)||[.2,.5];return{activation:r,alpha:t,beta:s}}else if(r==="Clip"){let[t,s]=(e==null?void 0:e.activation_params)||[zp,Bp];return{activation:r,clipMax:s,clipMin:t}}else if(r==="LeakyRelu"){let[t]=(e==null?void 0:e.activation_params)||[.01];return{activation:r,alpha:t}}return{activation:r}}}),hr,sf,tc=Ve(()=>{hr=(e,r)=>{switch(e){case 1:return r;case 2:return`vec2<${r}>`;case 3:return`vec3<${r}>`;case 4:return`vec4<${r}>`;default:throw new Error(`${e}-component is not supported.`)}},sf=e=>`
+      ${e?"value = value + getBiasByOutputCoords(coords);":""}
+      `}),nf,yv=Ve(()=>{nf=e=>`
+fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
+  return dot(coords, vec4<i32>(
+      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
+}
+fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
+  return dot(coords, vec4<i32>(
+    i32(${e}.x), i32(${e}.y), i32(${e}.z), 1));
+}
+`}),Li,rc,sc=Ve(()=>{pt(),Mt(),Tt(),yn(),Li=(e,r,t,s,i)=>{let n=s-t;return`
+      ${Array.from({length:t}).map((o,a)=>`
+      if (${rt(r.shape,a,r.rank)} != 1) {
+        ${r.indicesSet(e,a,rt(i,a+n,s))}
+      } else {
+        ${r.indicesSet(e,a,0)}
+      }`).join("")}
+`},rc=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o[o.length-2],c=a[a.length-1],p=o[o.length-1],u=Xt(c),h=Xt(p),g=Xt(l),_=Te.size(t)/u/g,P=e.length>2,A=s?s.slice(0,-2):t.slice(0,-2),v=[Te.size(A),l,c],y=[{type:12,data:_},{type:12,data:l},{type:12,data:c},{type:12,data:p}];gn(r,y),y.push(...nt(A,o,a)),P&&y.push(...nt(e[2].dims)),y.push(...nt(v));let k=E=>{let M=Ud("batch_dims",e[0].dataType,A.length),w=$e("a",e[0].dataType,o.length,h),x=$e("b",e[1].dataType,a.length,u),$=tt("output",e[0].dataType,v.length,u),z=lr($.type.tensor),R=_n(r,$.type.value,z),Q=[w,x],q="";if(P){let H=i?u:1;Q.push($e("bias",e[2].dataType,e[2].dims.length,H)),q=`${i?`value += bias[col / ${H}];`:`value += ${$.type.value}(bias[row + i]);`}`}let U=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];wn(r,U);let Z=()=>{let H=`var a_data: ${w.type.value};`;for(let J=0;J<h;J++)H+=`
+              let b_data${J} = b[(b_offset + (k + ${J}) * uniforms.N + col) / ${u}];`;for(let J=0;J<g;J++){H+=`a_data = a[(a_offset + (row + ${J}) * uniforms.K + k) / ${h}];`;for(let ie=0;ie<h;ie++)H+=`
+            values[${J}] = fma(${x.type.value}(a_data${h===1?"":`[${ie}]`}), b_data${ie}, values[${J}]);
+`}return H};return`
+  ${E.registerUniforms(U).registerInternalVariables(M).declareVariables(...Q,$)}
+  ${E.mainStart()}
+    ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+    let col = (global_idx % (uniforms.N / ${u})) * ${u};
+    var index1 = global_idx / (uniforms.N / ${u});
+    let stride1 = uniforms.M / ${g};
+    let row = (index1 % stride1) * ${g};
+    let batch = index1 / stride1;
+
+    ${t.length===2?"":`let batch_indices = ${M.offsetToIndices("batch")};`}
+
+    var a_indices: ${w.type.indices};
+    ${Li("a_indices",w,w.rank-2,M.rank,"batch_indices")}
+    ${w.indicesSet("a_indices",w.rank-2,0)}
+    ${w.indicesSet("a_indices",w.rank-1,0)}
+    let a_offset = ${w.indicesToOffset("a_indices")};
+
+    var b_indices: ${x.type.indices};
+    ${Li("b_indices",x,x.rank-2,M.rank,"batch_indices")}
+    ${x.indicesSet("b_indices",x.rank-2,0)}
+    ${x.indicesSet("b_indices",x.rank-1,0)}
+    let b_offset = ${x.indicesToOffset("b_indices")};
+    var values: array<${$.type.value}, ${g}>;
+    for (var k: u32 = 0u; k < uniforms.K; k = k + ${h}) {
+      ${Z()}
+    }
+    for (var i = 0u; i < ${g}u; i++) {
+      var value = values[i];
+      ${q}
+      ${R}
+      let cur_indices = ${$.type.indices}(batch, row + i, col);
+      let offset = ${$.indicesToOffset("cur_indices")};
+      ${$.setByOffset(`offset / ${u}`,"value")};
+    }
+  }
+  `};return{name:"MatMulNaive",shaderCache:{hint:`${r.activation};${u};${h};${g};${i}`,inputDependencies:P?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:y}),getShaderSource:k}}}),of,af,nc,ic,lf,oc,df,Sa,ac=Ve(()=>{pt(),Mt(),Tt(),yn(),sc(),tc(),of=(e,r)=>e?`
+        mm_Asub[inputRow][inputCol] = mm_readA(batch,
+          kStart + inputRow,
+          globalRowStart / innerElementSize + inputCol${r?", batchIndices":""});
+        `:`
+        mm_Asub[inputRow][inputCol] = mm_readA(batch,
+          globalRow + innerRow,
+          kStart / innerElementSize + inputCol${r?", batchIndices":""});
+        `,af=(e,r)=>e?`
+        let ACached0 = mm_Asub[k * innerElementSize][localRow];
+        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
+        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
+        ${r===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}
+        for (var i = 0; i < rowPerThread; i = i + 1) {
+          acc[i] = BCached0 * ACached0[i] + acc[i];
+          acc[i] = BCached1 * ACached1[i] + acc[i];
+          acc[i] = BCached2 * ACached2[i] + acc[i];
+          ${r===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}
+        }`:`
+        for (var i = 0; i < rowPerThread; i = i + 1) {
+          let ACached = mm_Asub[tileRow + i][k];
+          acc[i] = BCached0 * ACached.x + acc[i];
+          acc[i] = BCached1 * ACached.y + acc[i];
+          acc[i] = BCached2 * ACached.z + acc[i];
+          ${r===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
+        }`,nc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32)=>{let l=r[1]*e[1],c=r[0]*e[0],p=i?l:n,u=i?n:l,h=p/r[0],g=n/r[1];if(!((i&&h===4&&e[1]===4||!i&&(h===3||h===4))&&p%r[0]===0&&n%r[1]===0&&e[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${h} and workPerThread[1] ${e[1]} must be 4.
+      Otherwise, innerElementSize ${h} must be 3 or 4.
+  tileAWidth ${p} must be divisible by workgroupSize[0]${r[0]}. tileInner ${n} must be divisible by workgroupSize[1] ${r[1]}. colPerThread ${e[0]} must be 4.`);return`
+var<workgroup> mm_Asub: array<array<vec${h}<${t}>, ${p/h}>, ${u}>;
+var<workgroup> mm_Bsub: array<array<vec4<${t}>, ${c/e[0]}>, ${n}>;
+
+const rowPerThread = ${e[1]};
+const colPerThread = ${e[0]};
+const innerElementSize = ${h};
+const tileInner = ${n};
+
+@compute @workgroup_size(${r[0]}, ${r[1]}, ${r[2]})
+fn main(@builtin(local_invocation_id) localId : vec3<u32>,
+        @builtin(global_invocation_id) globalId : vec3<u32>,
+        @builtin(workgroup_id) workgroupId : vec3<u32>) {
+  let localRow = i32(localId.y);
+  let tileRow = localRow * rowPerThread;
+  let tileCol = i32(localId.x);
+
+  let globalRow =i32(globalId.y) * rowPerThread;
+  let globalCol = i32(globalId.x);
+  let batch = ${o?"0":"i32(globalId.z)"};
+  ${s?`let batchIndices = ${s.offsetToIndices("u32(batch)")};`:""}
+  let globalRowStart = i32(workgroupId.y) * ${l};
+
+  let num_tiles = ${o?`${Math.ceil(a/n)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
+  var kStart = ${o?`i32(globalId.z) * ${a}`:"0"};
+
+  var acc: array<vec4<${t}>, rowPerThread>;
+
+  // Loop over shared dimension.
+  let tileRowB = localRow * ${g};
+  for (var t = 0; t < num_tiles; t = t + 1) {
+      // Load one tile of A into local memory.
+      for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
+          let inputRow = tileRow + innerRow;
+          let inputCol = tileCol;
+          ${of(i,s)}
+      }
+
+      // Load one tile of B into local memory.
+      for (var innerRow = 0; innerRow < ${g}; innerRow = innerRow + 1) {
+          let inputRow = tileRowB + innerRow;
+          let inputCol = tileCol;
+          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${s?", batchIndices":""});
+      }
+      kStart = kStart + tileInner;
+      workgroupBarrier();
+
+      // Compute acc values for a single thread.
+      for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {
+          let BCached0 = mm_Bsub[k * innerElementSize][tileCol];
+          let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];
+          let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];
+          ${h===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}
+
+          ${af(i,h)}
+      }
+
+      workgroupBarrier();
+  }
+
+  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
+      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
+  }
+}`},ic=(e,r)=>e?`
+            mm_Asub[inputRow][inputCol] = mm_readA(batch,
+              kStart + inputRow,
+              globalRowStart + inputCol${r?", batchIndices":""});
+            `:`
+            mm_Asub[inputRow][inputCol] = mm_readA(batch,
+              globalRowStart + inputRow,
+              kStart + inputCol${r?", batchIndices":""});
+            `,lf=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",oc=(e,r,t="f32",s,i=!1,n=32,o=!1,a=32,l=!1)=>{let c=e[1]*r[1],p=e[0]*r[0],u=i?c:n,h=i?n:c;if(!(h%r[1]===0&&u%r[0]===0&&n%r[1]===0))throw new Error(`tileAHight ${h} must be divisible by workgroupSize[1]${r[1]}, tileAWidth ${u} must be divisible by workgroupSize[0]${r[0]}, tileInner ${n} must be divisible by workgroupSize[1]${r[1]}`);let g=h/r[1],_=u/r[0],P=n/r[1],A=l?`
+    let localRow = i32(localId.y);
+    let localCol = i32(localId.x);
+    let globalRowStart = i32(workgroupId.y) * ${c};
+    let globalColStart = i32(workgroupId.x) * ${p};
+
+    // Loop over shared dimension.
+    for (var t = 0; t < num_tiles; t = t + 1) {
+      // Load one tile of A into local memory.
+      for (var inputRow = localRow; inputRow < ${h}; inputRow = inputRow + ${r[1]}) {
+        for (var inputCol = localCol; inputCol < ${u}; inputCol = inputCol + ${r[0]}) {
+          ${ic(i,s)}
+        }
+      }
+      // Load one tile of B into local memory.
+      for (var inputRow = localRow; inputRow < ${n}; inputRow = inputRow + ${r[1]}) {
+            for (var inputCol = localCol; inputCol < ${p}; inputCol = inputCol + ${r[0]}) {
+          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
+            kStart + inputRow,
+            globalColStart + inputCol${s?", batchIndices":""});
+        }
+      }
+      kStart = kStart + tileInner;
+      workgroupBarrier();
+
+      // Compute acc values for a single thread.
+      var BCached : array<${t}, colPerThread>;
+      for (var k = 0; k < tileInner; k = k + 1) {
+        for (var inner = 0; inner < colPerThread; inner = inner + 1) {
+          BCached[inner] = mm_Bsub[k][localCol + inner * ${r[0]}];
+        }
+        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
+          let ACached = ${i?`mm_Asub[k][localRow + innerRow * ${r[1]}];`:`mm_Asub[localRow + innerRow * ${r[1]}][k];`}
+          for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
+            acc[innerRow][innerCol] = acc[innerRow][innerCol] +
+                ACached * BCached[innerCol];
+          }
+        }
+      }
+      workgroupBarrier();
+    }
+    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
+      let gRow = globalRowStart + localRow + innerRow * ${r[1]};
+      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
+        let gCol = globalColStart + localCol + innerCol * ${r[0]};
+        mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);
+      }
+    }
+    `:`
+let tileRow = i32(localId.y) * rowPerThread;
+let tileCol = i32(localId.x) * colPerThread;
+
+let globalRow = i32(globalId.y) * rowPerThread;
+let globalCol = i32(globalId.x) * colPerThread;
+let globalRowStart = i32(workgroupId.y) * ${c};
+
+let tileRowA = i32(localId.y) * ${g};
+let tileColA = i32(localId.x) * ${_};
+let tileRowB = i32(localId.y) * ${P};
+// Loop over shared dimension.
+for (var t = 0; t < num_tiles; t = t + 1) {
+  // Load one tile of A into local memory.
+  for (var innerRow = 0; innerRow < ${g}; innerRow = innerRow + 1) {
+    for (var innerCol = 0; innerCol < ${_}; innerCol = innerCol + 1) {
+      let inputRow = tileRowA + innerRow;
+      let inputCol = tileColA + innerCol;
+      ${ic(i,s)}
+    }
+  }
+
+  // Load one tile of B into local memory.
+  for (var innerRow = 0; innerRow < ${P}; innerRow = innerRow + 1) {
+    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
+      let inputRow = tileRowB + innerRow;
+      let inputCol = tileCol + innerCol;
+      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
+        kStart + inputRow,
+        globalCol + innerCol${s?", batchIndices":""});
+    }
+  }
+  kStart = kStart + tileInner;
+  workgroupBarrier();
+
+  // Compute acc values for a single thread.
+  var BCached : array<${t}, colPerThread>;
+  for (var k = 0; k < tileInner; k = k + 1) {
+    for (var inner = 0; inner < colPerThread; inner = inner + 1) {
+      BCached[inner] = mm_Bsub[k][tileCol + inner];
+    }
+
+    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
+      ${lf(i)}
+      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
+        acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];
+      }
+    }
+  }
+
+  workgroupBarrier();
+}
+
+for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
+  for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
+    mm_write(batch, globalRow + innerRow, globalCol + innerCol,
+        acc[innerRow][innerCol]);
+  }
+}
+`;return`
+  var<workgroup> mm_Asub : array<array<${t}, ${u}>, ${h}>;
+  var<workgroup> mm_Bsub : array<array<${t}, ${p}>, ${n}>;
+  const rowPerThread = ${e[1]};
+  const colPerThread = ${e[0]};
+  const tileInner = ${n};
+
+@compute @workgroup_size(${r[0]}, ${r[1]}, ${r[2]})
+fn main(@builtin(local_invocation_id) localId : vec3<u32>,
+        @builtin(global_invocation_id) globalId : vec3<u32>,
+        @builtin(workgroup_id) workgroupId : vec3<u32>) {
+    let batch = ${o?"0":"i32(globalId.z)"};
+    ${s?`let batchIndices = ${s.offsetToIndices("u32(batch)")};`:""}
+    let num_tiles = ${o?`${Math.ceil(a/n)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
+    var kStart = ${o?`i32(globalId.z) * ${a}`:"0"};
+
+    var acc : array<array<${t}, colPerThread>, rowPerThread>;
+    ${A}
+  }
+`},df=(e,r,t,s,i=!1)=>{let[n,o,a,l]=s,c=lr(s[0].type.tensor);return`
+    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${n.type.indices}) -> ${hr(e,c)} {
+      var value = ${hr(e,c)}(0.0);
+      let col = colIn * ${e};
+      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
+      {
+        var aIndices: ${o.type.indices};
+        ${Li("aIndices",o,o.rank-2,n.rank,"batchIndices")}
+        ${o.indicesSet("aIndices",o.rank-2,"u32(row)")}
+        ${o.indicesSet("aIndices",o.rank-1,"u32(colIn)")}
+        value = ${o.getByIndices("aIndices")};
+      }
+      return value;
+    }
+
+    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${n.type.indices}) -> ${hr(e,c)} {
+      var value = ${hr(e,c)}(0.0);
+      let col = colIn * ${e};
+      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
+      {
+        var bIndices: ${a.type.indices};
+        ${Li("bIndices",a,a.rank-2,n.rank,"batchIndices")}
+        ${a.indicesSet("bIndices",a.rank-2,"u32(row)")}
+        ${a.indicesSet("bIndices",a.rank-1,"u32(colIn)")}
+        value = ${a.getByIndices("bIndices")};
+      }
+      return value;
+    }
+
+    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${hr(e,c)}) {
+      let col = colIn * ${e};
+      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
+        var value = valueIn;
+        let coords = vec3<i32>(batch, row, colIn);
+        ${r?`value = value + ${i?"bias[colIn]":`${hr(e,c)}(bias[row])`};`:""}
+        ${t}
+        ${l.setByIndices("vec3<u32>(coords)","value")}
+      }
+    }
+    `},Sa=(e,r,t,s,i=!1,n)=>{let o=e[0].dims,a=e[1].dims,l=o.slice(0,-2),c=a.slice(0,-2),p=s?s.slice(0,-2):t.slice(0,-2),u=Te.size(p),h=o[o.length-2],g=o[o.length-1],_=a[a.length-1],P=g%4===0&&_%4===0,A=h<=8?[4,1,1]:[4,4,1],v=[8,8,1],y=[Math.ceil(_/v[0]/A[0]),Math.ceil(h/v[1]/A[1]),Math.ceil(u/v[2]/A[2])],k=P?4:1,E=[...l,h,g/k],M=E.length,w=[...c,g,_/k],x=w.length,$=[u,h,_/k],z=[{type:6,data:h},{type:6,data:_},{type:6,data:g}];gn(r,z),z.push(...nt(p,E,w));let R=["rank","rank"],Q=e.length>2;Q&&(z.push(...nt(e[2].dims)),R.push("rank")),z.push(...nt($));let q=U=>{let Z=p.length,H=Ud("batchDims",e[0].dataType,Z,1),J=lr(e[0].dataType),ie=$e("a",e[0].dataType,M,k),ae=$e("b",e[1].dataType,x,k),ce=tt("result",e[0].dataType,$.length,k),he=[ie,ae];if(Q){let X=i?k:1;he.push($e("bias",e[2].dataType,e[2].dims.length,X))}let N=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];wn(r,N);let O=lr(ce.type.tensor),G=_n(r,ce.type.value,O),se=df(k,Q,G,[H,ie,ae,ce],i);return`
+  ${U.registerUniforms(N).registerInternalVariables(H).declareVariables(...he,ce)}
+  ${se}
+  ${P?nc(A,v,J,H):oc(A,v,J,H)}
+                   `};return{name:"MatMul",shaderCache:{hint:`${A};${r.activation};${P};${i}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:n?n(t):t,dataType:e[0].dataType}],dispatchGroup:{x:y[0],y:y[1],z:y[2]},programUniforms:z}),getShaderSource:q}}}),cf,uf,Mv=Ve(()=>{pt(),Is(),Tt(),yn(),tc(),yv(),ac(),cf=(e,r,t,s,i=!1,n,o=4,a=4,l=4,c="f32")=>{let p=z=>{switch(z){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${c}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${z} is not supported.`)}},u=z=>{switch(z){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw new Error(`innerElementSize ${z} is not supported.`)}},h=e?`
+    let coord = vec4<i32>(batch, xRow, xCol, xCh);
+    `:`
+    let coord = vec4<i32>(batch, xCh, xRow, xCol);
+    `,g=e?`
+    let coords = vec4<i32>(
+      batch,
+      row / outWidth,
+      row % outWidth,
+      col);
+    `:`
+    let coords = vec4<i32>(
+      batch,
+      row,
+      col / outWidth,
+      col % outWidth);
+    `,_=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",P=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",A=e?"row":"col",v=e?"col":"row",y=`
+    let inChannels = i32(uniforms.w_shape[2]);
+    let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
+    let outRow = ${A} / outWidth;
+    let outCol = ${A} % outWidth;
+
+    let WRow = ${v} / (i32(uniforms.w_shape[1]) * inChannels);
+    let WCol = ${v} / inChannels % i32(uniforms.w_shape[1]);
+    let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];
+    let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];
+    let xCh = ${v} % inChannels;
+    var resData = ${hr(o,c)}(0.0);
+    // The bounds checking is always needed since we use it to pad zero for
+    // the 'same' padding type.
+    if (xRow >= 0 && xRow < ${_} && xCol >= 0 && xCol < ${P}) {
+      ${h}
+      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
+      ${p(o)}
+    }
+    return resData;`,k=e?r&&s?`
+    let col = colIn * ${o};
+    ${y}`:`
+    let col = colIn * ${o};
+    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
+      ${y}
+    }
+    return ${hr(o,c)}(0.0);`:s&&t?`
+    let col = colIn * ${o};
+    ${y}`:`
+    let col = colIn * ${o};
+    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
+      ${y}
+    }
+    return ${hr(o,c)}(0.0);`,E=e?s&&t?u(a):`
+    let col = colIn * ${a};
+    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
+      ${u(a)}
+    }
+    return ${hr(a,c)}(0.0);`:`
+    let col = colIn * ${a};
+    if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {
+      ${u(a)}
+    }
+    return ${hr(a,c)}(0.0);`,M=hr(l,c),w=hr(e?o:a,c),x=hr(e?a:o,c),$=_n(n,M,c);return`
+    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${w} {
+      ${e?k:E}
+    }
+
+    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${x} {
+      ${e?E:k}
+    }
+
+    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${M}) {
+      let col = colIn * ${l};
+      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
+      {
+      var value = valueIn;
+      let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
+      ${g}
+      ${sf(i)}
+      ${$}
+      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
+      }
+    }`},uf=(e,r,t,s,i,n,o,a,l)=>{let c=r.format==="NHWC",p=c?e[0].dims[3]:e[0].dims[1],u=t[0],h=c?t[2]:t[3],g=c?t[1]:t[2],_=c?t[3]:t[1],P=c&&(p%4===0||p%3===0)&&_%4===0,A=c?_:h*g,v=c?h*g:_,y=[8,8,1],k=s<=8?[4,1,1]:[4,4,1],E=[Math.ceil(A/y[0]/k[0]),Math.ceil(v/y[1]/k[1]),Math.ceil(u/y[2]/k[2])];St("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${E}`);let M=P?c&&p%4!==0?3:4:1,w=y[1]*k[1],x=y[0]*k[0],$=Math.max(y[0]*M,y[1]),z=s%w===0,R=i%x===0,Q=n%$===0,q=P?[M,4,4]:[1,1,1],U=[{type:6,data:s},{type:6,data:i},{type:6,data:n},{type:6,data:[r.pads[0],r.pads[1]]},{type:6,data:r.strides},{type:6,data:r.dilations}];gn(r,U),U.push(...nt(e[0].dims,e[1].dims));let Z=["rank","rank"];o&&(U.push(...nt(e[2].dims)),Z.push("rank")),U.push(...nt(t));let H=J=>{let ie=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"pad",type:"i32",length:2},{name:"stride",type:"i32",length:2},{name:"dilation",type:"i32",length:2}];wn(r,ie);let ae=P?4:1,ce=lr(e[0].dataType),he=`
+      fn setOutputAtIndex(flatIndex : i32, value : ${P?`vec4<${ce}>`:ce}) {
+        result[flatIndex] = ${P?`vec4<${ce}>`:ce}(value);
+      }
+      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${P?`vec4<${ce}>`:ce}) {
+        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
+        setOutputAtIndex(flatIndex ${P?"/ 4":""}, value);
+      }`,N=$e("x",e[0].dataType,e[0].dims.length,M===3?1:M),O=$e("w",e[1].dataType,e[1].dims.length,ae),G=[N,O],se=tt("result",e[0].dataType,t.length,ae);if(o){let X=$e("bias",e[2].dataType,e[2].dims.length,ae);G.push(X),he+=`
+        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${P?`vec4<${ce}>`:ce} {
+          return bias[coords.${c?"w":"y"}${P?"/ 4":""}];
+        }`}return`
+        ${nf("uniforms.result_strides")}
+        //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,
+        //  outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,
+        //  dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };
+        ${J.registerUniforms(ie).declareVariables(...G,se)}
+        ${he}
+        ${cf(c,z,R,Q,o,r,q[0],q[1],q[2],ce)}
+        ${P?nc(k,y,ce,void 0,!c,$):oc(k,y,ce,void 0,!c,$,!1,void 0,a)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${r.cacheKey};${M};${P};${z};${R};${Q};${w};${x};${$}`,inputDependencies:Z},getRunData:()=>({outputs:[{dims:l?l(t):t,dataType:e[0].dataType}],dispatchGroup:{x:E[0],y:E[1],z:E[2]},programUniforms:U}),getShaderSource:H}}}),pf,lc,zi,hf,dc,mf,ff,_f,bv=Ve(()=>{pt(),Is(),Mt(),Tt(),yn(),tc(),pf=e=>{let r=1;for(let t=0;t<e.length;t++)r*=e[t];return r},lc=e=>typeof e=="number"?[e,e,e]:e,zi=(e,r)=>r<=1?e:e+(e-1)*(r-1),hf=(e,r,t,s=1)=>{let i=zi(r,s);return Math.floor((e[0]*(t-1)-t+i)/2)},dc=(e,r,t,s,i)=>{i==null&&(i=hf(e,r[0],s[0]));let n=[0,0,0,t];for(let o=0;o<3;o++)e[o]+2*i>=r[o]&&(n[o]=Math.trunc((e[o]-r[o]+2*i)/s[o]+1));return n},mf=(e,r,t,s,i,n,o,a,l,c)=>{let p,u,h,g;if(e==="VALID"&&(e=0),typeof e=="number"){p={top:e,bottom:e,left:e,right:e,front:e,back:e};let _=dc([r,t,s,1],[a,l,c],1,[i,n,o],e);u=_[0],h=_[1],g=_[2]}else if(Array.isArray(e)){if(!e.every((P,A,v)=>P===v[0]))throw Error(`Unsupported padding parameter: ${e}`);p={top:e[0],bottom:e[1],left:e[2],right:e[3],front:e[4],back:e[5]};let _=dc([r,t,s,1],[a,l,c],1,[i,n,o],e[0]);u=_[0],h=_[1],g=_[2]}else if(e==="SAME_UPPER"){u=Math.ceil(r/i),h=Math.ceil(t/n),g=Math.ceil(s/o);let _=(u-1)*i+a-r,P=(h-1)*n+l-t,A=(g-1)*o+c-s,v=Math.floor(_/2),y=_-v,k=Math.floor(P/2),E=P-k,M=Math.floor(A/2),w=A-M;p={top:k,bottom:E,left:M,right:w,front:v,back:y}}else throw Error(`Unknown padding parameter: ${e}`);return{padInfo:p,outDepth:u,outHeight:h,outWidth:g}},ff=(e,r,t,s,i,n=!1,o="channelsLast")=>{let a,l,c,p,u;if(o==="channelsLast")[a,l,c,p,u]=e;else if(o==="channelsFirst")[a,u,l,c,p]=e;else throw new Error(`Unknown dataFormat ${o}`);let[h,,g,_,P]=r,[A,v,y]=lc(t),[k,E,M]=lc(s),w=zi(g,k),x=zi(_,E),$=zi(P,M),{padInfo:z,outDepth:R,outHeight:Q,outWidth:q}=mf(i,l,c,p,A,v,y,w,x,$),U=n?h*u:h,Z=[0,0,0,0,0];return o==="channelsFirst"?Z=[a,U,R,Q,q]:o==="channelsLast"&&(Z=[a,R,Q,q,U]),{batchSize:a,dataFormat:o,inDepth:l,inHeight:c,inWidth:p,inChannels:u,outDepth:R,outHeight:Q,outWidth:q,outChannels:U,padInfo:z,strideDepth:A,strideHeight:v,strideWidth:y,filterDepth:g,filterHeight:_,filterWidth:P,effectiveFilterDepth:w,effectiveFilterHeight:x,effectiveFilterWidth:$,dilationDepth:k,dilationHeight:E,dilationWidth:M,inShape:e,outShape:Z,filterShape:r}},_f=(e,r,t,s,i,n)=>{let o=n==="channelsLast";o?e[0].dims[3]:e[0].dims[1];let a=[64,1,1],l={x:t.map((A,v)=>v)},c=[Math.ceil(pf(l.x.map(A=>t[A]))/a[0]),1,1];St("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${c}`);let p=1,u=Te.size(t),h=[{type:12,data:u},{type:12,data:s},{type:12,data:i},{type:12,data:r.strides},{type:12,data:r.dilations}];gn(r,h),h.push(...nt(e[0].dims,e[1].dims));let g=["rank","rank"],_=e.length===3;_&&(h.push(...nt(e[2].dims)),g.push("rank")),h.push(...nt(t));let P=A=>{let v=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:s.length},{name:"pads",type:"u32",length:i.length},{name:"strides",type:"u32",length:r.strides.length},{name:"dilations",type:"u32",length:r.dilations.length}];wn(r,v);let y=1,k=lr(e[0].dataType),E=$e("x",e[0].dataType,e[0].dims.length,p),M=$e("W",e[1].dataType,e[1].dims.length,y),w=[E,M],x=tt("result",e[0].dataType,t.length,y),$="";if(_){let Q=$e("bias",e[2].dataType,e[2].dims.length,y);w.push(Q),$+=`
+        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${k} {
+          return bias[${o?rt("coords",4,5):rt("coords",1,5)}];
+        }`}let z=hr(p,k),R=_n(r,z,k);return`
+            ${$}
+            fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
+              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
+              return ${E.getByIndices("aIndices")};
+            }
+            fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
+              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
+              return ${M.getByIndices("aIndices")};
+            }
+          ${A.registerUniforms(v).declareVariables(...w,x)}
+          ${A.mainStart()}
+          ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+              let coords = ${x.offsetToIndices("global_idx")};
+              let batch = ${rt("coords",0,E.rank)};
+              let d2 = ${o?rt("coords",E.rank-1,E.rank):rt("coords",1,E.rank)};
+              let xFRCCorner = vec3<u32>(${o?rt("coords",1,E.rank):rt("coords",2,E.rank)},
+              ${o?rt("coords",2,E.rank):rt("coords",3,E.rank)},
+              ${o?rt("coords",3,E.rank):rt("coords",4,E.rank)}) * uniforms.strides - uniforms.pads;
+              let xFCorner = xFRCCorner.x;
+              let xRCorner = xFRCCorner.y;
+              let xCCorner = xFRCCorner.z;
+              let xShapeY = ${o?rt("uniforms.x_shape",1,E.rank):rt("uniforms.x_shape",2,E.rank)};
+              let xShapeZ = ${o?rt("uniforms.x_shape",2,E.rank):rt("uniforms.x_shape",3,E.rank)};
+              let xShapeW = ${o?rt("uniforms.x_shape",3,E.rank):rt("uniforms.x_shape",4,E.rank)};
+              let xShapeU = ${o?rt("uniforms.x_shape",4,E.rank):rt("uniforms.x_shape",1,E.rank)};
+              let inputDepthNearestVec4 = (xShapeU / 4) * 4;
+              let inputDepthVec4Remainder = xShapeU % 4;
+
+              var value = 0.0;
+              for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) {
+                let xF = xFCorner + wF * uniforms.dilations[0];
+                if (xF < 0 || xF >= xShapeY) {
+                  continue;
+                }
+
+                for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) {
+                  let xR = xRCorner + wR * uniforms.dilations[1];
+                  if (xR < 0 || xR >= xShapeZ) {
+                    continue;
+                  }
+
+                  for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) {
+                    let xC = xCCorner + wC * uniforms.dilations[2];
+                    if (xC < 0 || xC >= xShapeW) {
+                      continue;
+                    }
+
+                    for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) {
+                      ${o?`let xValues = vec4<f32>(
+                               getX(batch, xF, xR, xC, d1),
+                               getX(batch, xF, xR, xC, d1 + 1),
+                               getX(batch, xF, xR, xC, d1 + 2),
+                               getX(batch, xF, xR, xC, d1 + 3));
+                            `:`let xValues = vec4<f32>(
+                               getX(batch, d1, xF, xR, xC),
+                               getX(batch, d1 + 1, xF, xR, xC),
+                               getX(batch, d1 + 2, xF, xR, xC),
+                               getX(batch, d1 + 3, xF, xR, xC));
+                            `}
+                            let wValues = vec4<f32>(
+                              getW(d2, d1, wF, wR, wC),
+                              getW(d2, d1 + 1, wF, wR, wC),
+                              getW(d2, d1 + 2, wF, wR, wC),
+                              getW(d2, d1 + 3, wF, wR, wC));
+                      value += dot(xValues, wValues);
+                    }
+                    if (inputDepthVec4Remainder == 1) {
+                        ${o?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4)
+                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC)
+                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`}
+                    } else if (inputDepthVec4Remainder == 2) {
+                      ${o?`let xValues = vec2<f32>(
+                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
+                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1));
+                      `:`let xValues = vec2<f32>(
+                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
+                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC));
+                    `}
+                    let wValues = vec2<f32>(
+                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
+                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC));
+                      value += dot(xValues, wValues);
+                    } else if (inputDepthVec4Remainder == 3) {
+                      ${o?`let xValues = vec3<f32>(
+                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
+                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),
+                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2));
+                      `:`let xValues = vec3<f32>(
+                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
+                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC),
+                        getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC));
+                    `}
+                    let wValues = vec3<f32>(
+                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
+                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC),
+                      getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC));
+                      value += dot(xValues, wValues);
+                    }
+                  }
+                }
+              }
+              ${_?"value = value + getBiasByOutputCoords(coords)":""};
+              ${R}
+              result[global_idx] = f32(value);
+          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${r.cacheKey};${o};${p};${_}`,inputDependencies:g},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:c[0],y:c[1],z:c[2]},programUniforms:h}),getShaderSource:P}}}),gf,wf,vv=Ve(()=>{pt(),Mt(),Tt(),yn(),gf=(e,r,t,s)=>{let i=e.length>2,n=i?"value += b[output_channel];":"",o=e[0].dims,a=e[1].dims,l=r.format==="NHWC",c=l?t[3]:t[1],p=c/r.group,u=l&&p>=4?Xt(c):1,h=Te.size(t)/u,g=[{type:12,data:h},{type:12,data:r.dilations},{type:12,data:[r.strides[0],r.strides[1]]},{type:12,data:[r.pads[0],r.pads[1]]},{type:12,data:p}];gn(r,g),g.push(...nt(o,[a[0],a[1],a[2],a[3]/u]));let _=i?["rank","rank","rank"]:["rank","rank"];g.push(...nt([t[0],t[1],t[2],t[3]/u]));let P=A=>{let v=tt("output",e[0].dataType,t.length,u),y=lr(v.type.tensor),k=_n(r,v.type.value,y),E=$e("x",e[0].dataType,o.length),M=$e("w",e[1].dataType,a.length,u),w=[E,M];i&&w.push($e("b",e[2].dataType,e[2].dims,u));let x=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:r.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];wn(r,x);let $=l?`
+      for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) {
+        let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];
+
+        if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) {
+          continue;
+        }
+
+        for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) {
+          let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
+          if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) {
+            continue;
+          }
+
+          for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) {
+            let input_channel = in_channel_offset + wInChannel;
+            let xVal = ${E.get("batch","xHeight","xWidth","input_channel")};
+            let wVal = ${M.get("wHeight","wWidth","wInChannel","output_channel")};
+            value += xVal * wVal;
+          }
+        }
+      }
+      `:`
+      for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
+        let input_channel = in_channel_offset + wInChannel;
+        for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {
+          let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];
+
+          if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) {
+            continue;
+          }
+
+          for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {
+            let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
+            if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) {
+              continue;
+            }
+
+            let xVal = ${E.get("batch","input_channel","xHeight","xWidth")};
+            let wVal = ${M.get("output_channel","wInChannel","wHeight","wWidth")};
+            value += xVal * wVal;
+          }
+        }
+      }
+      `;return`
+  ${A.registerUniforms(x).declareVariables(...w,v)}
+
+  ${A.mainStart()}
+    ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+
+    let outputIndices = ${v.offsetToIndices("global_idx")};
+    let batch: u32 = outputIndices[0];
+    let output_channel: u32 = outputIndices[${l?3:1}];
+    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${l?1:2}], outputIndices[${l?2:3}]) * uniforms.strides - uniforms.pads;
+    let group_id: u32 = output_channel * ${u} / uniforms.output_channels_per_group;
+    var in_channel_offset = group_id * uniforms.w_shape[${l?2:1}];
+
+    var value: ${v.type.value} = ${v.type.value}(0);
+    ${$}
+    ${n}
+    ${k}
+    ${v.setByOffset("global_idx","value")}
+  }`};return{name:"GroupedConv",shaderCache:{hint:`${r.cacheKey}_${u}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:g}),getShaderSource:P}},wf=(e,r,t,s)=>{let i=e.length>2,n=Xt(t[3]),o=Xt(t[2]),a=Te.size(t)/n/o,l=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/n],c=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/n],p=[t[0],t[1],t[2],t[3]/n],u=[{type:12,data:a},{type:6,data:[r.strides[0],r.strides[1]]},{type:6,data:[r.pads[0],r.pads[1]]}];gn(r,u),u.push(...nt(l,c,p));let h=(o-1)*r.strides[1]+c[1],g=_=>{let P=tt("output",e[0].dataType,p.length,n),A=lr(P.type.tensor),v=_n(r,P.type.value,A),y=$e("x",e[0].dataType,l.length,n),k=$e("w",e[1].dataType,c.length,n),E=[y,k];i&&E.push($e("b",e[2].dataType,e[2].dims,n));let M=i?"value += b[output_channel];":"",w=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return wn(r,w),`
+  ${_.registerUniforms(w).declareVariables(...E,P)}
+  ${_.mainStart()}
+    ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+    let width0 = uniforms.output_shape[3];
+    let output_channel = global_idx % width0;
+    var index1 = global_idx / width0;
+    let width1 = uniforms.output_shape[2] / ${o}u;
+    let col = (index1 % width1) * ${o}u;
+    index1 = index1 / width1;
+    let row = index1 % uniforms.output_shape[1];
+    let batch = index1 / uniforms.output_shape[1];
+
+    let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;
+
+    var x_vals: array<${y.type.value}, ${h}>;
+    var values: array<${P.type.value}, ${o}>;
+    let input_channel = output_channel;
+    // Use constant instead of uniform can give better performance for w's height/width.
+    for (var w_height: u32 = 0u; w_height < ${c[0]}; w_height++) {
+      let x_height = x_corner.x + i32(w_height);
+      if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {
+        for (var i = 0; i < ${h}; i++) {
+          let x_width = x_corner.y + i;
+          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
+            x_vals[i] = ${y.get("batch","u32(x_height)","u32(x_width)","input_channel")};
+          } else {
+            x_vals[i] = ${y.type.value}(0);
+          }
+        }
+        for (var w_width: u32 = 0u; w_width < ${c[1]}; w_width++) {
+          let w_val = ${k.get("w_height","w_width","0","output_channel")};
+          for (var i = 0u; i < ${o}u; i++) {
+            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
+          }
+        }
+      }
+    }
+
+    for (var i = 0u; i < ${o}u; i++) {
+      var value = values[i];
+      ${M}
+      ${v}
+      ${P.set("batch","row","col + i","output_channel","value")};
+    }
+  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${r.cacheKey};${n};${o};${h};${c[0]};${c[1]}`,inputDependencies:i?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:s?s(t):t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:u}),getShaderSource:g}}}),yf,$a,Mf,ka,cc,uc,bf,vf,pc,Tv=Ve(()=>{Mt(),Mv(),bv(),ac(),vv(),yn(),sc(),Ks(),yf=(e,r,t,s,i,n)=>{let o=e[0],a=e.slice(n?1:2,n?3:4),l=a.length,c=r[0],p=r.slice(2).map((h,g)=>h+(h-1)*(t[g]-1)),u=a.map((h,g)=>h+s[g]+s[g+l]).map((h,g)=>Math.floor((h-p[g]+i[g])/i[g]));return u.splice(0,0,o),u.splice(n?3:1,0,c),u},$a=[2,3,1,0],Mf=(e,r)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(e[0].dims.length>5)throw new Error("greater than 5D is not supported");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let t=e[0].dims[r.format==="NHWC"?e[0].dims.length-1:1],s=e[1].dims[1]*r.group;if(t!==s)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(e.length===3&&(e[2].dims.length!==1||e[1].dims[0]!==e[2].dims[0]))throw new Error("invalid bias");let i=e[0].dims.length-2;if(r.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(r.strides.length!==i)throw new Error(`strides should be ${i}D`);if(r.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(r.kernelShape.length!==0&&r.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape")},ka=(e,r)=>{let t=e.kernelShape.slice();t.length<r[1].dims.length-2&&t.push(...Array(r[1].dims.length-2-t.length).fill(0));for(let n=2;n<r[1].dims.length;++n)t[n-2]===0&&(t[n-2]=r[1].dims[n]);let s=e.pads.slice();Ta.adjustPadsBasedOnAutoPad(r[0].dims,e.strides,e.dilations,t,s,e.format==="NHWC",e.autoPad);let i=Object.assign({},e);return Object.assign(i,{kernelShape:t,pads:s}),i},cc=e=>{let r=ec(e),t=e.format,s=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],i=e.dilations,n=e.group,o=e.kernel_shape,a=e.pads,l=e.strides,c=e.w_is_const();return{autoPad:s,format:t,dilations:i,group:n,kernelShape:o,pads:a,strides:l,wIsConst:c,...r,cacheKey:`${e.format};${r.activation};`}},uc=(e,r,t,s)=>{let i=t.format==="NHWC",n=yf(r[0].dims,r[1].dims,t.dilations,t.pads,t.strides,i);if(t.group!==1){let w=[r[0]];if(i){let x=e.kernelCustomData.wT??e.compute(Nr(r[1],$a),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=x),w.push(x)}else w.push(r[1]);r.length===3&&w.push(r[2]),!e.adapterInfo.isArchitecture("ampere")&&i&&r[1].dims[0]===t.group&&r[1].dims[1]===1&&t.dilations[0]===1&&t.dilations[1]===1?e.compute(wf(w,t,n,s),{inputs:w}):e.compute(gf(w,t,n,s),{inputs:w});return}let o=r.length===3,a=r[0].dims[i?1:2],l=r[0].dims[i?2:3],c=r[0].dims[i?3:1],p=r[1].dims[2],u=r[1].dims[3],h=n[i?1:2],g=n[i?2:3],_=n[i?3:1],P=i&&p===a&&u===l&&t.pads[0]===0&&t.pads[1]===0;if(P||p===1&&u===1&&t.dilations[0]===1&&t.dilations[1]===1&&t.strides[0]===1&&t.strides[1]===1&&t.pads[0]===0&&t.pads[1]===0){let w=n[0],x,$,z,R=[];if(i){let U=e.kernelCustomData.wT??e.compute(Nr(r[1],$a),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];if(t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=U),P){let Z=a*l*c;x=r[0].reshape([1,w,Z]),$=U.reshape([1,Z,_]),z=[1,w,_]}else x=r[0].reshape([w,a*l,c]),$=U.reshape([1,c,_]),z=[w,h*g,_];R.push(x),R.push($)}else x=r[0].reshape([w,c,a*l]),$=r[1].reshape([1,_,c]),z=[w,_,h*g],R.push($),R.push(x);o&&R.push(r[2]);let Q=z[2],q=R[0].dims[R[0].dims.length-1];Q<8&&q<8?e.compute(rc(R,t,n,z,i,s),{inputs:R}):e.compute(Sa(R,t,n,z,i,s),{inputs:R});return}let A=!0,v=e.kernelCustomData.wT??e.compute(Nr(r[1],$a),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=v);let y=[r[0],v];o&&y.push(r[2]);let k=i?h*g:_,E=i?_:h*g,M=p*u*c;e.compute(uf(y,t,n,k,E,M,o,A,s),{inputs:y})},bf=(e,r)=>{let t=r.format==="NHWC",s=[e.inputs[0].reshape(t?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&s.push(e.inputs[2]);let i=[0,r.pads[0],0,r.pads[1]],n=[1].concat(r.strides),o=[1].concat(r.dilations),a=[1].concat(r.kernelShape),l=ka({...r,pads:i,strides:n,dilations:o,kernelShape:a},s);uc(e,s,l,c=>t?[c[0],c[2],c[3]]:[c[0],c[1],c[3]])},vf=(e,r,t)=>{let s=t.format==="NHWC"?"channelsLast":"channelsFirst",i=ka(t,r),n=t.autoPad==="NOTSET"?t.pads:t.autoPad,o=ff(r[0].dims,r[1].dims,t.strides,t.dilations,n,!1,s);e.compute(_f(r,i,o.outShape,[o.filterDepth,o.filterHeight,o.filterWidth],[o.padInfo.front,o.padInfo.top,o.padInfo.left],s))},pc=(e,r)=>{if(Mf(e.inputs,r),e.inputs[0].dims.length===3)bf(e,r);else if(e.inputs[0].dims.length===5)vf(e,e.inputs,r);else{let t=ka(r,e.inputs);uc(e,e.inputs,t)}}}),Tf,xv=Ve(()=>{pt(),Is(),Mt(),Tt(),Tf=(e,r,t)=>{let s=e.length>2,i=r.outputShape,n=r.format==="NHWC",o=r.group,a=e[1].dims,l=a[2]/o,c=a[3],p=n?Xt(l):1,u=n&&c===1&&l>=4,h=u?Math.floor(l/4)*4:Math.floor(l/p)*p,g=l-h,_=n?Xt(c):1,P=n?c===1?p:_:1,A=Te.size(i)/_,v=[Math.ceil(A/64),1,1];St("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${v}`);let y=["rank","rank"],k=[r.strides[0],r.strides[1]],E=[r.kernelShape[n?1:2],r.kernelShape[n?2:3]],M=[r.dilations[0],r.dilations[1]],w=[E[0]+(r.dilations[0]<=1?0:(r.kernelShape[n?1:2]-1)*(r.dilations[0]-1)),E[1]+(r.dilations[1]<=1?0:(r.kernelShape[n?2:3]-1)*(r.dilations[1]-1))],x=[w[0]-1-Math.floor((r.pads[0]+r.pads[2])/2),w[1]-1-Math.floor((r.pads[1]+r.pads[3])/2)],$=[{type:12,data:A},{type:12,data:k},{type:12,data:E},{type:12,data:M},{type:12,data:w},{type:6,data:x},{type:12,data:h},{type:12,data:l},{type:12,data:c},...nt(e[0].dims,e[1].dims)];s&&($.push(...nt(e[2].dims)),y.push("rank")),$.push(...nt(i));let z=R=>{let Q=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:k.length},{name:"filter_dims",type:"u32",length:E.length},{name:"dilations",type:"u32",length:E.length},{name:"effective_filter_dims",type:"u32",length:w.length},{name:"pads",type:"i32",length:x.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],q=lr(e[0].dataType),U=n?1:2,Z=n?2:3,H=n?3:1,J=$e("W",e[1].dataType,e[1].dims.length,P),ie=$e("Dy",e[0].dataType,e[0].dims.length,p),ae=[ie,J];s&&ae.push($e("bias",e[2].dataType,[i[H]].length,_));let ce=tt("result",e[0].dataType,i.length,_),he=()=>{let G="";if(u)p===4?G+=`
+        let xValue = ${ie.getByOffset("x_offset")};
+        let wValue = ${J.getByOffset("w_offset")};
+        dotProd = dotProd + dot(xValue, wValue);
+        x_offset += 1u;
+        w_offset += 1u;`:p===2?G+=`
+          dotProd = dotProd + dot(vec4<${q}>(${ie.getByOffset("x_offset")}, ${ie.getByOffset("x_offset + 1u")}), vec4<${q}>(${J.getByOffset("w_offset")}, ${J.getByOffset("w_offset + 1u")}));
+          x_offset += 2u;
+          w_offset += 2u;`:p===1&&(G+=`
+          dotProd = dotProd + dot(vec4<${q}>(${ie.getByOffset("x_offset")}, ${ie.getByOffset("x_offset + 1u")}, ${ie.getByOffset("x_offset + 2u")}, ${ie.getByOffset("x_offset + 3u")}), vec4<${q}>(${J.getByOffset("w_offset")}, ${J.getByOffset("w_offset + 1u")}, ${J.getByOffset("w_offset + 2u")}, ${J.getByOffset("w_offset + 3u")}));
+          x_offset += 4u;
+          w_offset += 4u;`);else if(G+=`
+                  let xValue = ${n?ie.getByOffset(`${ie.indicesToOffset(`${ie.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${p}`):ie.get("batch","inputChannel","idyR","idyC")};
+        `,p===1)G+=`
+          let w_offset = ${J.indicesToOffset(`${J.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};
+          let wValue = ${J.getByOffset(`w_offset / ${P}`)};
+          dotProd = dotProd + xValue * wValue;`;else for(let se=0;se<p;se++)G+=`
+            let wValue${se} = ${J.getByOffset(`${J.indicesToOffset(`${J.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${se}, wOutChannel)`)} / ${P}`)};
+            dotProd = dotProd + xValue[${se}] * wValue${se};`;return G},N=()=>{if(g===0)return"";if(!u)throw new Error(`packInputAs4 ${u} is not true.`);let G="";if(p===1){G+="dotProd = dotProd";for(let se=0;se<g;se++)G+=`
+            + ${ie.getByOffset(`x_offset + ${se}`)} * ${J.getByOffset(`w_offset + ${se}`)}`;G+=";"}else if(p===2){if(g!==2)throw new Error(`Invalid inputChannelsRemainder ${g}.`);G+=`
+          let xValue = ${ie.getByOffset("x_offset")};
+          let wValue = ${J.getByOffset("w_offset")};
+          dotProd = dotProd + dot(xValue, wValue);`}return G},O=`
+            let outputIndices = ${ce.offsetToIndices(`global_idx * ${_}`)};
+            let batch = ${ce.indicesGet("outputIndices",0)};
+            let d1 = ${ce.indicesGet("outputIndices",H)};
+            let r = ${ce.indicesGet("outputIndices",U)};
+            let c = ${ce.indicesGet("outputIndices",Z)};
+            let dyCorner = vec2<i32>(i32(r), i32(c)) - uniforms.pads;
+            let dyRCorner = dyCorner.x;
+            let dyCCorner = dyCorner.y;
+            let groupId = d1 / uniforms.output_channels_per_group;
+            let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;
+            // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
+            // ? = to be determined. : = across all values in that axis.
+            var dotProd = ${ce.type.value}(0.0);
+            var wR: u32 = 0;
+            if (uniforms.dilations.x == 1) {
+              // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0
+              wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner);
+            }
+            for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
+              if (wR % uniforms.dilations.x != 0) {
+                continue;
+              }
+              let dyR = (${q}(dyRCorner) + ${q}(wR)) / ${q}(uniforms.strides[0]);
+              let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
+              if (dyR < 0.0 || dyR >= ${q}(uniforms.Dy_shape[${U}]) || fract(dyR) > 0.0 ||
+                  wRPerm < 0) {
+                continue;
+              }
+              let idyR: u32 = u32(dyR);
+              var wC: u32 = 0;
+              if (uniforms.dilations.y == 1) {
+                // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0
+                wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner);
+              }
+              for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {
+                if (wC % uniforms.dilations.y != 0) {
+                  continue;
+                }
+                let dyC = (${q}(dyCCorner) + ${q}(wC)) / ${q}(uniforms.strides.y);
+                let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;
+                if (dyC < 0.0 || dyC >= ${q}(uniforms.Dy_shape[${Z}]) ||
+                    fract(dyC) > 0.0 || wCPerm < 0) {
+                  continue;
+                }
+                let idyC: u32 = u32(dyC);
+                var inputChannel = groupId * uniforms.input_channels_per_group;
+                ${u?`
+                var x_offset = ${ie.indicesToOffset(`${ie.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${p};
+                var w_offset = ${J.indicesToOffset(`${J.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${P};
+                  `:""}
+                for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${u?4:p}) {
+                  ${he()}
+                  inputChannel = inputChannel + ${u?4:p};
+                }
+                ${N()}
+                wC = wC + uniforms.strides.y - 1;
+              }
+              wR = wR + uniforms.strides[0] - 1;
+            }
+            let value = dotProd${s?` + bias[d1 / ${_}]`:""};
+            ${ce.setByOffset("global_idx","value")};
+          `;return`
+    ${R.registerUniforms(Q).declareVariables(...ae,ce)}
+      ${R.mainStart()}
+      ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
+    ${O}}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${r.cacheKey};${p}${P}${_}${u}${g}`,inputDependencies:y},getRunData:()=>({dispatchGroup:{x:v[0],y:v[1],z:v[2]},outputs:[{dims:t?t(i):i,dataType:e[0].dataType}],programUniforms:$}),getShaderSource:z}}}),xf,Ef,Pf,hc,Cf,Sf,mc,$f,kf,Ev=Ve(()=>{xv(),yn(),Ks(),xf=(e,r,t,s,i,n)=>(e-1)*r+t+(s-1)*i+1-n,Ef=(e,r,t,s,i)=>{let n=Math.floor(e/2);r==="SAME_UPPER"?(t[s]=n,t[i]=e-n):r==="SAME_LOWER"&&(t[s]=e-n,t[i]=n)},Pf=(e,r,t,s,i,n,o,a,l,c)=>{let p=e.length-2,u=c.length===0;l.length<p&&l.push(...Array(p-l.length).fill(0));let h=e[0],g=r[a?3:1]*i;for(let _=0,P=e.length-p-(a?1:0);_<p;++_,++P){let A=e[P],v=u?A*o[_]:c[_],y=xf(A,o[_],n[_],r[P],t[_],v);Ef(y,s,n,_,_+p),u&&c.push(o[_]*(A-1)+l[_]+(r[P]-1)*t[_]+1-n[_]-n[_+p])}c.splice(0,0,h),c.splice(a?3:1,0,g)},hc=(e,r)=>{let t=e.kernelShape.slice();if(e.kernelShape.length===0||e.kernelShape.reduce((u,h)=>u*h,1)===0){t.length=0;for(let u=2;u<r[1].dims.length;++u)t.push(r[1].dims[u])}let s=e.format==="NHWC";t.splice(0,0,r[1].dims[0]),t.splice(s?3:1,0,r[1].dims[1]);let i=e.pads.slice(),n=e.outputShape.slice(),o=e.outputPadding.slice(),a=r[0].dims,l=e.dilations.slice();if(l.reduce((u,h)=>u+h,0)===0){let u=r[0].dims.length-2;l=new Array(u).fill(1)}let c=e.strides.slice();if(c.reduce((u,h)=>u+h,0)===0){let u=r[0].dims.length-2;c=new Array(u).fill(1)}Pf(a,t,l,e.autoPad,e.group,i,c,s,o,n);let p=Object.assign({},e);return Object.assign(p,{kernelShape:t,pads:i,outputPadding:o,outputShape:n,dilations:l,strides:c}),p},Cf=e=>{let r=ec(e),t=e.format,s=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof e.autoPad>"u"?0:e.autoPad],i=e.dilations,n=e.group,o=e.kernelShape,a=e.pads,l=e.strides,c=e.wIsConst(),p=e.outputPadding,u=e.outputShape;return{autoPad:s,format:t,dilations:i,group:n,kernelShape:o,outputPadding:p,outputShape:u,pads:a,strides:l,wIsConst:c,...r,cacheKey:`${e.format};${r.activation};`}},Sf=(e,r)=>{if(!e||e.length!==2&&e.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(e[0].dims.length!==4&&e[0].dims.length!==3)throw new Error("currently only support 2-dimensional conv");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let t=e[0].dims[r.format==="NHWC"?e[0].dims.length-1:1],s=e[1].dims[0];if(t!==s)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let i=e[1].dims[1]*r.group;if(e.length===3&&(e[2].dims.length!==1||e[2].dims[0]!==i))throw new Error("invalid bias");let n=e[0].dims.length-2;if(r.dilations.reduce((o,a)=>o+a,0)>0&&r.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(r.strides.reduce((o,a)=>o+a,0)>0&&r.strides.length!==n)throw new Error(`strides should be ${n}D`);if(r.pads.reduce((o,a)=>o+a,0)>0&&r.pads.length!==n*2)throw new Error(`pads should be ${n*2}D`);if(r.outputPadding.length!==n&&r.outputPadding.length!==0)throw new Error(`output_padding should be ${n}D`);if(r.kernelShape.reduce((o,a)=>o+a,0)>0&&r.kernelShape.length!==0&&r.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if(r.outputShape.length!==0&&r.outputShape.length!==e[0].dims.length-2)throw new Error("invalid output shape")},mc=(e,r,t,s)=>{let i=e.kernelCustomData.wT??e.compute(Nr(r[1],[2,3,0,1]),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=i);let n=[r[0],i];r.length===3&&n.push(r[2]),e.compute(Tf(n,t,s),{inputs:n})},$f=(e,r)=>{let t=r.format==="NHWC",s=[e.inputs[0].reshape(t?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&s.push(e.inputs[2]);let i=r.kernelShape;(i.length===0||i[0]===0)&&(i=[e.inputs[1].dims[2]]);let n=r.dilations;(n.length===0||n[0]===0)&&(n=[1]);let o=r.strides;(o.length===0||o[0]===0)&&(o=[1]);let a=r.pads;a.length===0&&(a=[0,0]),a=[0,a[0],0,a[1]],o=[1].concat(o),n=[1].concat(n),i=[1].concat(i);let l=r.outputPadding;l=[0].concat(l);let c=hc({...r,pads:a,strides:o,dilations:n,kernelShape:i,outputPadding:l},s);mc(e,s,c,p=>t?[p[0],p[2],p[3]]:[p[0],p[1],p[3]])},kf=(e,r)=>{if(Sf(e.inputs,r),e.inputs[0].dims.length===3)$f(e,r);else{let t=hc(r,e.inputs);mc(e,e.inputs,t)}}}),If,Af,Ff,Pv=Ve(()=>{pt(),Mt(),Yt(),Tt(),If=(e,r,t,s)=>{let i=Te.size(r),n=r.length,o=$e("input",e,n),a=tt("output",e,n),l=t.dataType===6?t.getInt32Array()[0]:Number(t.getBigInt64Array()[0]),c=Te.normalizeAxis(l,n),p=u=>{let h=` i32(${o.indicesGet("inputIndices","uniforms.axis")}) `,g=rt("uniforms.input_shape","uniforms.axis",n),_=s.reverse?h+(s.exclusive?" + 1":""):"0",P=s.reverse?g:h+(s.exclusive?"":" + 1");return`
+                ${u.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(o,a)}
+                ${u.mainStart()}
+                  ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+                  var inputIndices = ${a.offsetToIndices("global_idx")};
+                  var sum = ${a.type.value}(0);
+                  let first : i32 = ${_};
+                  let last : i32 = ${P};
+                  for (var i : i32 = first; i < last; i++) {
+                    ${o.indicesSet("inputIndices","uniforms.axis","u32(i)")};
+                    sum = sum + ${o.getByIndices("inputIndices")};
+                  }
+                  ${a.setByOffset("global_idx","sum")};
+                }`};return{name:"CumSum",shaderCache:{hint:s.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:r,dataType:e}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},{type:12,data:c},...nt(r,r)]}),getShaderSource:p}},Af=(e,r)=>{let t=e.inputs[0].dims,s=e.inputs[0].dataType,i=e.inputs[1];e.compute(If(s,t,i,r),{inputs:[0]})},Ff=e=>{let r=e.exclusive===1,t=e.reverse===1;return Dt({exclusive:r,reverse:t})}}),Of,Df,Lf,zf,Bf,Cv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Of=e=>{if(!e||e.length!==1)throw new Error("DepthToSpace requires 1 input.");if(e[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},Df=(e,r,t,s)=>{let i=[];i.push(`fn perm(i: ${s.type.indices}) -> ${t.type.indices} {
+    var a: ${t.type.indices};`);for(let n=0;n<r;++n)i.push(t.indicesSet("a",e[n],`i[${n}]`));return i.push("return a;}"),i.join(`
+`)},Lf=(e,r)=>{let t,s,i,n,o,a,l=r.format==="NHWC",c=r.blocksize,p=r.mode==="DCR";l?([t,s,i,n]=e.dims,o=p?[t,s,i,c,c,n/c**2]:[t,s,i,n/c**2,c,c],a=p?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([t,s,i,n]=[e.dims[0],e.dims[2],e.dims[3],e.dims[1]],o=p?[t,c,c,n/c**2,s,i]:[t,n/c**2,c,c,s,i],a=p?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let u=e.reshape(o),h=u.dims.length,g=e.dataType,_=$e("a",g,h),P=tt("output",g,h),A=v=>`
+  ${v.registerUniform("output_size","u32").declareVariables(_,P)}
+
+  ${Df(a,h,_,P)}
+
+  ${v.mainStart()}
+    ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+
+    let indices = ${P.offsetToIndices("global_idx")};
+    let aIndices = perm(indices);
+
+    ${P.setByOffset("global_idx",_.getByIndices("aIndices"))}
+  }`;return{name:"DepthToSpace",shaderCache:{hint:`${e.dims};${r.blocksize};${r.mode}`,inputDependencies:["rank"]},getRunData:v=>{let y=l?[t,s*c,i*c,n/c**2]:[t,n/c**2,s*c,i*c],k=Te.size(y),E=u.dims,M=Te.sortBasedOnPerm(E,a);return{outputs:[{dims:y,dataType:v[0].dataType}],dispatchGroup:{x:Math.ceil(k/64)},programUniforms:[{type:12,data:k},...nt(E,M)]}},getShaderSource:A}},zf=(e,r)=>{Of(e.inputs),e.compute(Lf(e.inputs[0],r))},Bf=e=>Dt({blocksize:e.blocksize,mode:e.mode,format:e.format})}),Ia,Bi,fc,Rf,Nf,jf,Vf,_c,Uf,Wf,Gf,Sv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Ia="[a-zA-Z]|\\.\\.\\.",Bi="("+Ia+")+",fc="^"+Bi+"$",Rf="("+Bi+",)*"+Bi,Nf="^"+Rf+"$",jf=class{constructor(e=-1){this.symbolToIndices=new Map,this.inputIndex=e}addSymbol(e,r){let t=this.symbolToIndices.get(e);t===void 0?t=[r]:t.push(r),this.symbolToIndices.set(e,t)}},Vf=class{constructor(e,r){var i;this.equation=r,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[t,s]=r.includes("->")?r.split("->",2):[r,""];if(!t.match(RegExp(Nf)))throw new Error("Invalid LHS term");if(t.split(",").forEach((n,o)=>{let a=e[o].dims.slice();if(!n.match(RegExp(fc)))throw new Error("Invalid LHS term");let l=this.processTerm(n,!0,a,o);this.lhs.push(l)}),s==="")s+=[...this.symbolToInfo.entries()].filter(([n,o])=>o.count===1||n==="...").map(([n])=>n).join("");else if(!s.match(RegExp(Bi)))throw new Error("Invalid RHS");(i=s.match(RegExp(Ia,"g")))==null||i.forEach(n=>{if(n==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let o=this.symbolToInfo.get(n);if(o===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(o.dimValue)}}),this.rhs=this.processTerm(s,!1,this.outputDims)}addSymbol(e,r,t){let s=this.symbolToInfo.get(e);if(s!==void 0){if(s.dimValue!==r&&s.count!==1)throw new Error("Dimension mismatch");s.count++,s.inputIndices.push(t)}else s={count:1,dimValue:r,inputIndices:[t]};this.symbolToInfo.set(e,s)}processTerm(e,r,t,s=-1){let i=t.length,n=!1,o=[],a=0;if(!e.match(RegExp(fc))&&!r&&e!=="")throw new Error("Invalid LHS term");let l=e.match(RegExp(Ia,"g")),c=new jf(s);return l==null||l.forEach((p,u)=>{if(p==="..."){if(n)throw new Error("Only one ellipsis is allowed per input term");n=!0;let h=i-l.length+1;if(h<0)throw new Error("Ellipsis out of bounds");if(o=t.slice(a,a+h),this.hasEllipsis){if(this.ellipsisDims.length!==o.length||this.ellipsisDims.toString()!==o.toString())throw new Error("Ellipsis dimensions mismatch")}else if(r)this.hasEllipsis=!0,this.ellipsisDims=o;else throw new Error("Ellipsis must be specified in the LHS");for(let g=0;g<o.length;g++){let _=String.fromCharCode(48+g);c.addSymbol(_,u+g),this.addSymbol(_,t[a++],s)}}else c.addSymbol(p,u+(this.hasEllipsis?this.ellipsisDims.length-1:0)),this.addSymbol(p,t[a++],s)}),c}},_c=e=>e+"_max",Uf=(e,r,t,s)=>{let i=e.map(c=>c.length).map((c,p)=>$e(`input${p}`,r,c)),n=Te.size(s),o=tt("output",r,s.length),a=[...t.symbolToInfo.keys()].filter(c=>!t.rhs.symbolToIndices.has(c)),l=c=>{let p=[],u="var prod = 1.0;",h="var sum = 0.0;",g="sum += prod;",_=[],P=[],A=[],v=[],y=t.symbolToInfo.size===t.rhs.symbolToIndices.size;t.symbolToInfo.forEach((E,M)=>{var w;if(t.rhs.symbolToIndices.has(M)){let x=(w=t.rhs.symbolToIndices.get(M))==null?void 0:w[0];x!==void 0&&t.lhs.forEach(($,z)=>{if(E.inputIndices.includes(z)){let R=$.symbolToIndices.get(M);if(R===void 0)throw new Error("Invalid symbol error");R.forEach(Q=>{p.push(`${i[z].indicesSet(`input${z}Indices`,Q,o.indicesGet("outputIndices",x))}`)})}})}else t.lhs.forEach((x,$)=>{if(E.inputIndices.includes($)){let z=x.symbolToIndices.get(M);if(z===void 0)throw new Error("Invalid symbol error");z.forEach(R=>{_.push(`${i[$].indicesSet(`input${$}Indices`,R,`${M}`)}`)}),v.push(`prod *= ${i[$].getByIndices(`input${$}Indices`)};`)}}),P.push(`for(var ${M}: u32 = 0; ${M} < uniforms.${_c(M)}; ${M}++) {`),A.push("}")});let k=y?[...p,`let sum = ${i.map((E,M)=>E.getByIndices(`input${M}Indices`)).join(" * ")};`]:[...p,h,...P,..._,u,...v,g,...A];return`
+            ${c.registerUniforms(a.map(E=>({name:`${_c(E)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...i,o)}
+
+            ${c.mainStart()}
+            ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+            var outputIndices = ${o.offsetToIndices("global_idx")};
+            ${i.map((E,M)=>`var input${M}Indices: ${i[M].type.indices};`).join(`
+`)}
+            ${k.join(`
+`)};
+            ${o.setByOffset("global_idx","sum")};
+          }`};return{name:"Einsum",shaderCache:{hint:t.equation,inputDependencies:e.map(()=>"rank")},getRunData:()=>{let c=a.filter(u=>t.symbolToInfo.has(u)).map(u=>{var h;return{type:12,data:((h=t.symbolToInfo.get(u))==null?void 0:h.dimValue)||0}});c.push({type:12,data:n});let p=e.map((u,h)=>[...nt(u)]).reduce((u,h)=>u.concat(h),c);return p.push(...nt(s)),{outputs:[{dims:s,dataType:r}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:p}},getShaderSource:l}},Wf=(e,r)=>{let t=new Vf(e.inputs,r.equation),s=t.outputDims,i=e.inputs.map((n,o)=>n.dims);e.compute(Uf(i,e.inputs[0].dataType,t,s))},Gf=e=>{let r=e.equation.replace(/\s+/g,"");return Dt({equation:r})}}),Kf,gc,Hf,qf,Qf,$v=Ve(()=>{pt(),Mt(),Tt(),Kf=e=>{if(!e||e.length!==2)throw new Error("Expand requires 2 input.");let r=e[0].dims,t=Array.from(e[1].getBigInt64Array(),Number),s=t.length<r.length?0:t.length-r.length,i=r.length<t.length?0:r.length-t.length;for(;s<t.length&&i<r.length;++s,++i)if(t[s]!==r[i]&&t[s]!==1&&r[i]!==1)throw new Error("Expand requires shape to be broadcastable to input")},gc=(e,r)=>{let t=e.length-r.length,s=[];for(let i=0;i<t;++i)s.push(e[i]);for(let i=0;i<r.length;++i)s.push(r[i]===1?e[i+t]:r[i]);return s},Hf=(e,r)=>e.length>r.length?gc(e,r):gc(r,e),qf=e=>{let r=e[0].dims,t=Array.from(e[1].getBigInt64Array(),Number),s=Hf(r,t),i=e[0].dataType,n=i===9||Te.size(r)===1,o=i===9||r.length>0&&r[r.length-1]%4===0?4:1,a=n||s.length>0&&s[s.length-1]%4===0?4:1,l=Math.ceil(Te.size(s)/a),c=u=>{let h=$e("input",i,r.length,o),g=tt("output",i,s.length,a),_;if(i===9){let P=(A,v,y="")=>`
+          let outputIndices${v} = ${g.offsetToIndices(`outputOffset + ${v}u`)};
+          let offset${v} = ${h.broadcastedIndicesToOffset(`outputIndices${v}`,g)};
+          let index${v} = offset${v} / 4u;
+          let component${v} = offset${v} % 4u;
+          ${A}[${v}] = ${y}(${h.getByOffset(`index${v}`)}[component${v}]);
+        `;_=`
+        let outputOffset = global_idx * ${a};
+        var data = vec4<u32>(0);
+        ${P("data",0,"u32")}
+        ${P("data",1,"u32")}
+        ${P("data",2,"u32")}
+        ${P("data",3,"u32")}
+        ${g.setByOffset("global_idx","data")}
+      }`}else _=`
+        let outputIndices = ${g.offsetToIndices(`global_idx * ${a}`)};
+        let inputOffset = ${h.broadcastedIndicesToOffset("outputIndices",g)};
+        let data = ${g.type.value}(${h.getByOffset(`inputOffset / ${o}`)});
+        ${g.setByOffset("global_idx","data")}
+      }`;return`
+    ${u.registerUniform("vec_size","u32").declareVariables(h,g)}
+    ${u.mainStart()}
+    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
+    ${_}`},p=[{type:12,data:l},...nt(r,s)];return{name:"Expand",shaderCache:{hint:`${s.length};${o}${a}`,inputDependencies:["rank"]},getShaderSource:c,getRunData:()=>({outputs:[{dims:s,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:p})}},Qf=e=>{Kf(e.inputs),e.compute(qf(e.inputs),{inputs:[0]})}}),Xf,Jf,kv=Ve(()=>{pt(),Mt(),Tt(),Zd(),Xf=e=>{let r=e[0].dataType,t=Te.size(e[0].dims),s=Te.size(e[1].dims),i=s%4===0,n=o=>{let a=$e("x",r,[1],4),l=$e("bias",r,[1],4),c=tt("y",r,[1],4),p=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],u=g=>`
+      let bias${g}_offset: u32 = (global_idx * 4 + ${g}) % uniforms.bias_size;
+      let bias${g} = ${l.getByOffset(`bias${g}_offset / 4`)}[bias${g}_offset % 4];`,h=i?`
+      let bias = ${l.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${u(0)}${u(1)}${u(2)}${u(3)}
+      let bias = ${a.type.value}(bias0, bias1, bias2, bias3);`;return`${o.registerUniforms(p).declareVariables(a,l,c)}
+
+    ${Jd(xr(r))}
+
+    ${o.mainStart(jn)}
+      ${o.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")}
+
+      let x = ${a.getByOffset("global_idx")};
+      ${h}
+      let x_in = x + bias;
+      ${c.setByOffset("global_idx",Yd("x_in"))}
+    }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:n,getRunData:o=>({outputs:[{dims:o[0].dims,dataType:o[0].dataType}],programUniforms:[{type:12,data:Math.ceil(t/4)},{type:12,data:s}],dispatchGroup:{x:Math.ceil(t/jn/4)}})}},Jf=e=>{e.inputs.length<2||Te.size(e.inputs[1].dims)===0?km(e):e.compute(Xf(e.inputs))}}),Yf,Zf,e_,t_,Iv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Yf=e=>{if(!e||e.length!==2)throw new Error("Gather requires 2 inputs.")},Zf=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=Te.normalizeAxis(r.axis,i),o=t.slice(0);o.splice(n,1,...s);let a=t[n],l=e[0].dataType===9?4:1,c=Math.ceil(Te.size(o)/l),p=[{type:12,data:c},{type:6,data:a},{type:12,data:n},...nt(e[0].dims,e[1].dims,o)],u=h=>{let g=$e("data",e[0].dataType,e[0].dims.length,l),_=$e("inputIndices",e[1].dataType,e[1].dims.length),P=tt("output",e[0].dataType,o.length,l),A=y=>{let k=s.length,E=`var indicesIndices${y}  = ${_.type.indices}(0);`;for(let M=0;M<k;M++)E+=`${k>1?`indicesIndices${y}[${M}]`:`indicesIndices${y}`} = ${o.length>1?`outputIndices${y}[uniforms.axis + ${M}]`:`outputIndices${y}`};`;E+=`
+          var idx${y} = ${_.getByIndices(`indicesIndices${y}`)};
+          if (idx${y} < 0) {
+            idx${y} = idx${y} + uniforms.axisDimLimit;
+          }
+          var dataIndices${y} : ${g.type.indices};
+        `;for(let M=0,w=0;M<i;M++)M===n?(E+=`${i>1?`dataIndices${y}[${M}]`:`dataIndices${y}`} = u32(idx${y});`,w+=k):(E+=`${i>1?`dataIndices${y}[${M}]`:`dataIndices${y}`} = ${o.length>1?`outputIndices${y}[${w}]`:`outputIndices${y}`};`,w++);return E},v;if(e[0].dataType===9){let y=(k,E,M="")=>`
+          let outputIndices${E} = ${P.offsetToIndices(`outputOffset + ${E}u`)};
+          ${A(E)};
+          let offset${E} = ${g.indicesToOffset(`dataIndices${E}`)};
+          let index${E} = offset${E} / 4u;
+          let component${E} = offset${E} % 4u;
+          ${k}[${E}] = ${M}(${g.getByOffset(`index${E}`)}[component${E}]);
+        `;v=`
+        let outputOffset = global_idx * ${l};
+        var value = vec4<u32>(0);
+        ${y("value",0,"u32")}
+        ${y("value",1,"u32")}
+        ${y("value",2,"u32")}
+        ${y("value",3,"u32")}
+        ${P.setByOffset("global_idx","value")}
+      `}else v=`
+      let outputIndices = ${P.offsetToIndices("global_idx")};
+      ${A("")};
+      let value = ${g.getByIndices("dataIndices")};
+      ${P.setByOffset("global_idx","value")};
+      `;return`
+      ${h.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(g,_,P)}
+      ${h.mainStart()}
+        ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+        ${v}
+      }`};return{name:"Gather",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:p}),getShaderSource:u}},e_=e=>Dt({axis:e.axis}),t_=(e,r)=>{let t=e.inputs;Yf(t),e.compute(Zf(e.inputs,r))}}),r_,s_,n_,Av=Ve(()=>{pt(),Mt(),Tt(),r_=(e,r,t,s,i,n,o,a,l)=>{let c=[{type:12,data:n},{type:12,data:s},{type:12,data:i},{type:12,data:t},{type:12,data:o},{type:12,data:a},{type:12,data:l}],p=[n];c.push(...nt(r.dims,p));let u=h=>{let g=$e("indices_data",r.dataType,r.dims.length),_=tt("input_slice_offsets_data",12,1,1),P=[g,_],A=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:i.length},{name:"sizes_from_slice_dims_data",type:"u32",length:t.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return`
+  ${h.registerUniforms(A).declareVariables(...P)}
+  ${h.mainStart()}
+    ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+    let batch_idx = global_idx / uniforms.num_slices_per_batch;
+    let base_offset = batch_idx * uniforms.input_batch_stride;
+
+    let slice_indices_base_offset = global_idx * uniforms.num_slice_dims;
+    var relative_slice_offset = 0;
+    for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) {
+      var index = i32(indices_data[dim_idx + slice_indices_base_offset].x);
+      let input_dim_idx = uniforms.batch_dims + dim_idx;
+      if (index < 0) {
+        ${i.length===1?"index += i32(uniforms.input_dims);":"index += i32(uniforms.input_dims[input_dim_idx]);"}
+      }
+      ${t.length===1?"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);":"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);"}
+    }
+
+    input_slice_offsets_data[global_idx] =  base_offset + u32(relative_slice_offset);
+  }`};return e.compute({name:"computeSliceOffsets",shaderCache:{hint:`${i.length}_${t.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:p,dataType:e.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:c}),getShaderSource:u},{inputs:[r],outputs:[-1]})[0]},s_=(e,r)=>{let t=e.inputs,s=t[0].dims,i=t[0].dataType,n=t[1].dims,o=n[n.length-1],a=Te.sizeToDimension(n,n.length-1),l=Te.sizeFromDimension(s,r.batchDims+o),c=Te.sizeToDimension(s,r.batchDims),p=Te.sizeFromDimension(s,r.batchDims),u=a/c,h=new Array(o),g=l;for(let E=0;E<o;++E)h[o-1-E]=g,g*=s[r.batchDims+o-1-E];let _=r_(e,t[1],h,r.batchDims,s,a,u,p,o),P=r.batchDims+o;if(P>s.length)throw new Error("last dimension of indices must not be larger than rank of input tensor");let A=n.slice(0,-1).concat(s.slice(P)),v=Te.size(A),y=[{type:12,data:v},{type:12,data:l},...nt(t[0].dims,_.dims,A)],k=E=>{let M=$e("data",t[0].dataType,t[0].dims.length),w=$e("slice_offsets",12,_.dims.length),x=tt("output",t[0].dataType,A.length);return`
+          ${E.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(M,w,x)}
+            ${E.mainStart()}
+            ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+          let slice_offset = slice_offsets[global_idx / uniforms.slice_size];
+          output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size];
+        }`};e.compute({name:"GatherND",shaderCache:{hint:r.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:A,dataType:i}],dispatchGroup:{x:Math.ceil(v/64)},programUniforms:y}),getShaderSource:k},{inputs:[t[0],_]})},n_=e=>({batchDims:e.batch_dims,cacheKey:""})}),i_,o_,a_,l_,Fv=Ve(()=>{pt(),Mt(),Yt(),Tt(),i_=(e,r)=>{if(e.length<3||e.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let t=Te.normalizeAxis(r.quantizeAxis,e[0].dims.length),s=r.blockSize,i=e[0],n=e[2],o=e.length===4?e[3]:void 0;if(n.dims.length!==i.dims.length||!i.dims.map((a,l)=>l===t?Math.ceil(a/s)===n.dims[l]:a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(o){if(o.dataType!==i.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(o.dims.length!==n.dims.length||!o.dims.map((a,l)=>a===n.dims[l]).reduce((a,l)=>a&&l,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},o_=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t.length,n=Te.normalizeAxis(r.gatherAxis,i),o=Te.normalizeAxis(r.quantizeAxis,i),a=t.slice(0);a.splice(n,1,...s);let l=Te.size(a),c=e[2].dataType,p=e[0].dataType===22,u=[{type:12,data:l},{type:12,data:o},{type:12,data:n},{type:12,data:r.blockSize},...nt(...e.map((g,_)=>g.dims),a)],h=g=>{let _=$e("data",e[0].dataType,e[0].dims.length),P=$e("inputIndices",e[1].dataType,e[1].dims.length),A=$e("scales",e[2].dataType,e[2].dims.length),v=e.length>3?$e("zeroPoint",e[3].dataType,e[3].dims.length):void 0,y=tt("output",c,a.length),k=[_,P,A];v&&k.push(v);let E=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return`
+        ${g.registerUniforms(E).declareVariables(...k,y)}
+        ${g.mainStart()}
+        let output_indices = ${y.offsetToIndices("global_idx")};
+        var indices_indices = ${P.type.indices}(0);
+        ${s.length>1?`
+          for (var i: u32 = 0; i < ${s.length}; i++) {
+            let index = ${y.indicesGet("output_indices","uniforms.gather_axis + i")};
+            ${P.indicesSet("indices_indices","i","index")};
+          }`:`indices_indices = ${y.indicesGet("output_indices","uniforms.gather_axis")};`};
+        var data_indices = ${_.type.indices}(0);
+        for (var i: u32 = 0; i < uniforms.gather_axis; i++) {
+          let index = ${y.indicesGet("output_indices","i")};
+          ${_.indicesSet("data_indices","i","index")};
+        }
+        var index_from_indices = ${P.getByIndices("indices_indices")};
+        if (index_from_indices < 0) {
+          index_from_indices += ${t[n]};
+        }
+        ${_.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")};
+        for (var i = uniforms.gather_axis + 1; i < ${a.length}; i++) {
+          let index = ${y.indicesGet("output_indices",`i + ${s.length} - 1`)};
+          ${_.indicesSet("data_indices","i","index")};
+        }
+        let data_offset = ${_.indicesToOffset("data_indices")};
+        let data_index = data_offset % 8;
+        // Convert 4-bit packed data to 8-bit packed data.
+        let packed_4bit_quantized_data = ${_.getByOffset("data_offset / 8")};
+        let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;
+        let quantized_data_vec = ${p?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data));
+        let quantized_data = quantized_data_vec[data_index / 2];
+        var scale_indices = data_indices;
+        let quantize_axis_index = ${A.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
+        ${A.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
+        var scale = ${A.getByIndices("scale_indices")};
+        ${v?`
+              let zero_point_indices = scale_indices;
+              let zero_point_offset = ${v.indicesToOffset("zero_point_indices")};
+              let zero_point_index = zero_point_offset % 8;
+              let packed_4bit_zero_points = ${v.getByOffset("zero_point_offset / 8")};
+              let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;
+              let zero_point_vec = ${p?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points));
+              let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"};
+        let dequantized_data = ${xr(c)}(quantized_data - zero_point) * scale;
+        ${y.setByOffset("global_idx","dequantized_data")};
+    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${r.cacheKey};${e.filter((g,_)=>_!==1).map(g=>g.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:e.length},(g,_)=>"rank")},getRunData:()=>({outputs:[{dims:a,dataType:c}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u}),getShaderSource:h}},a_=(e,r)=>{let t=e.inputs;i_(t,r),e.compute(o_(e.inputs,r))},l_=e=>Dt({blockSize:e.blockSize,gatherAxis:e.gatherAxis,quantizeAxis:e.quantizeAxis})}),d_,c_,u_,p_,Ov=Ve(()=>{pt(),Mt(),Yt(),Tt(),d_=e=>{if(!e||e.length!==2)throw new Error("GatherElements requires 2 inputs.");if(e[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(e[0].dims.length!==e[1].dims.length)throw new Error(`GatherElements requires that the data input and
+                     indices input tensors be of same rank.`)},c_=(e,r)=>{let t=e[0].dims,s=e[0].dataType,i=t.length,n=e[1].dims,o=e[1].dataType,a=Te.normalizeAxis(r.axis,i),l=t[a],c=n.slice(0),p=Te.size(c),u=$e("input",s,i),h=$e("indicesInput",o,n.length),g=tt("output",s,c.length),_=[{type:12,data:p},{type:6,data:l},{type:12,data:a}];return _.push(...nt(t,n,c)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:c,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:_}),getShaderSource:P=>`
+      ${P.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(u,h,g)}
+      ${P.mainStart()}
+      ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+
+      let outputIndices = ${g.offsetToIndices("global_idx")};
+
+      var idx = ${h.getByOffset("global_idx")};
+      if (idx < 0) {
+        idx = idx + uniforms.axisDimLimit;
+      }
+      var inputIndices = ${u.type.indices}(outputIndices);
+      ${u.indicesSet("inputIndices","uniforms.axis","u32(idx)")};
+      let value = ${u.getByIndices("inputIndices")};
+
+      ${g.setByOffset("global_idx","value")};
+  }`}},u_=e=>Dt({axis:e.axis}),p_=(e,r)=>{let t=e.inputs;d_(t),e.compute(c_(e.inputs,r))}}),h_,m_,f_,__,Dv=Ve(()=>{pt(),Mt(),Tt(),h_=e=>{if(!e)throw new Error("Input is missing");if(e.length<2||e.length>3)throw new Error("Invaid input number.");if(e.length===3&&e[2].dims.length>2)throw new Error("Invalid input shape of C");if(e[0].dataType!==e[1].dataType||e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("Input types are mismatched")},m_=(e,r)=>{let t=e[0].dims.slice(),s=e[1].dims.slice(),[i,n,o]=Lp.getShapeOfGemmResult(t,r.transA,s,r.transB,e.length===3?e[2].dims:void 0),a=[i,n];if(!a)throw new Error("Can't use gemm on the given tensors");let l=16,c=Math.ceil(n/l),p=Math.ceil(i/l),u=!0,h=Te.size(a),g=[{type:12,data:u?c:h},{type:12,data:i},{type:12,data:n},{type:12,data:o},{type:1,data:r.alpha},{type:1,data:r.beta}],_=["type","type"];e.length===3&&(g.push(...nt(e[2].dims)),_.push("rank")),g.push(...nt(a));let P=v=>{let y="";r.transA&&r.transB?y="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":r.transA&&!r.transB?y="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!r.transA&&r.transB?y="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!r.transA&&!r.transB&&(y="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let k=r.alpha===1?"":"value *= uniforms.alpha;",E=$e("a",e[0].dataType,e[0].dims),M=$e("b",e[1].dataType,e[1].dims),w=E.type.value,x=null,$=[E,M];e.length===3&&(x=$e("c",e[2].dataType,e[2].dims.length),$.push(x));let z=tt("output",e[0].dataType,a.length);$.push(z);let R=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}];return`
+  ${v.registerUniforms(R).declareVariables(...$)}
+
+  ${v.mainStart()}
+    ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+
+    let m = global_idx / uniforms.N;
+    let n = global_idx % uniforms.N;
+
+    var value = ${w}(0);
+    for (var k: u32 = 0u; k < uniforms.K; k++) {
+      ${y}
+    }
+
+    ${k}
+    ${x!=null?`let cOffset = ${x.broadcastedIndicesToOffset("vec2(m, n)",z)}; value += ${w}(uniforms.beta) * ${x.getByOffset("cOffset")};`:""}
+    output[global_idx] = value;
+  }`},A=v=>{let y=$e("a",e[0].dataType,e[0].dims),k=$e("b",e[1].dataType,e[1].dims),E=null,M=[y,k];e.length===3&&(E=$e("c",e[2].dataType,e[2].dims.length),M.push(E));let w=tt("output",e[0].dataType,a.length);M.push(w);let x=[{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}],$="",z="";r.transA&&r.transB?(z=`
+      var col = tile_row_start + local_id.x;
+      var row = k_start + local_id.y;
+      if (col < uniforms.M && row < uniforms.K) {
+        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
+      } else {
+        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
+      }
+
+      col = k_start + local_id.x;
+      row = tile_col_start + local_id.y;
+      if (col < uniforms.K && row < uniforms.N) {
+        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
+      } else {
+        tile_b[local_id.y][local_id.x] = ${k.type.value}(0);
+      }
+      `,$="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):r.transA&&!r.transB?(z=`
+      var col = tile_row_start + local_id.x;
+      var row = k_start + local_id.y;
+      if (col < uniforms.M && row < uniforms.K) {
+        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
+      } else {
+        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
+      }
+
+      col = tile_col_start + local_id.x;
+      row = k_start + local_id.y;
+      if (col < uniforms.N && row < uniforms.K) {
+        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
+      } else {
+        tile_b[local_id.y][local_id.x] = ${k.type.value}(0);
+      }
+      `,$="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!r.transA&&r.transB?(z=`
+      var col = k_start + local_id.x;
+      var row = tile_row_start + local_id.y;
+      if (col < uniforms.K && row < uniforms.M) {
+        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
+      } else {
+        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
+      }
+
+      col = k_start + local_id.x;
+      row = tile_col_start + local_id.y;
+      if (col < uniforms.K && row < uniforms.N) {
+        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
+      } else {
+        tile_b[local_id.y][local_id.x] = ${k.type.value}(0);
+      }
+      `,$="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!r.transA&&!r.transB&&(z=`
+      var col = k_start + local_id.x;
+      var row = tile_row_start + local_id.y;
+      if (col < uniforms.K && row < uniforms.M) {
+        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
+      } else {
+        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
+      }
+
+      col = tile_col_start + local_id.x;
+      row = k_start + local_id.y;
+      if (col < uniforms.N && row < uniforms.K) {
+        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
+      } else {
+        tile_b[local_id.y][local_id.x] = ${k.type.value}(0);
+      }
+      `,$="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let R=r.alpha===1?"":"value *= uniforms.alpha;";return`
+  ${v.registerUniforms(x).declareVariables(...M)}
+  var<workgroup> tile_a: array<array<${y.type.storage}, ${l}>, ${l}>;
+  var<workgroup> tile_b: array<array<${k.type.storage}, ${l}>, ${l}>;
+  ${v.mainStart([l,l,1])}
+    let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${l};
+    let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${l};
+    let num_tiles = (uniforms.K - 1) / ${l} + 1;
+    var k_start = 0u;
+    var value = ${w.type.value}(0);
+    for (var t: u32 = 0u; t < num_tiles; t++) {
+      ${z}
+      k_start = k_start + ${l};
+      workgroupBarrier();
+
+      for (var k: u32 = 0u; k < ${l}; k++) {
+        ${$}
+      }
+      workgroupBarrier();
+    }
+
+    ${R}
+    let m = tile_row_start + local_id.y;
+    let n = tile_col_start + local_id.x;
+    ${E!=null?`let cOffset = ${E.broadcastedIndicesToOffset("vec2(m, n)",w)}; value += ${w.type.value}(uniforms.beta) * ${E.getByOffset("cOffset")};`:""}
+    if (m < uniforms.M && n < uniforms.N) {
+      output[m * uniforms.N + n] = value;
+    }
+  }`};return u?{name:"GemmShared",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:c*p},programUniforms:g}),getShaderSource:A}:{name:"Gemm",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:a,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:g}),getShaderSource:P}},f_=e=>{let r=e.transA,t=e.transB,s=e.alpha,i=e.beta;return{transA:r,transB:t,alpha:s,beta:i,cacheKey:`${e.transA};${e.transB};${e.alpha===1}`}},__=(e,r)=>{h_(e.inputs),e.compute(m_(e.inputs,r))}}),vs,As,Mn,bn,g_,w_,y_,M_,b_,v_,T_,x_,E_,P_,Lv=Ve(()=>{pt(),Mt(),Yt(),Tt(),[vs,As,Mn,bn]=[0,1,2,3],g_=e=>{if(e[0].dims.length!==4)throw new Error("only 4-D tensor is supported.");if(e[0].dims.length!==e[1].dims.length)throw new Error("input dimensions must be equal to grid dimensions");if(e[0].dims.length-2!==e[1].dims[e[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${e[0].dims.length-2}`);if(e[0].dims[0]!==e[1].dims[0])throw new Error("grid batch size must match input batch size")},w_=`
+  fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {
+    let cubic_alpha = -0.75f;
+    let x_abs = abs(x);
+    var coeffs: vec4<f32>;
+    coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);
+    coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);
+    coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);
+    coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);
+    return coeffs;
+  }
+`,y_=e=>`
+  fn gs_bicubic_interpolate(p: mat4x4<${e}>, x: f32, y: f32) -> ${e} {
+    var v: vec4<f32>;
+    var coeffs = gs_get_cubic_coeffs(x);
+    for (var i = 0; i < 4; i++) {
+      v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3];
+    }
+    coeffs = gs_get_cubic_coeffs(y);
+    let pixel = ${e}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]);
+    return pixel;
+  }
+`,M_=e=>`
+  fn gs_denormalize(n: f32, length: i32) -> f32 {
+    ${e.alignCorners===0?`
+    // alignCorners: false => [-1, 1] to [-0.5, length - 0.5]
+    return ((n + 1.0) * f32(length) - 1.0) / 2.0;
+    `:`
+    // alignCorners: true => [-1, 1] to [0, length - 1]
+    return (n + 1.0) / 2.0 * (f32(length - 1));
+    `}
+  }
+`,b_=e=>`
+  ${e.paddingMode==="reflection"?`
+      fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 {
+        var dx = 0.0;
+        var fx = f32(x);
+        let range = x_max - x_min;
+        if (fx < x_min) {
+          dx = x_min - fx;
+          let n = u32(dx / range);
+          let r = dx - f32(n) * range;
+          if (n % 2 == 0) {
+            fx = x_min + r;
+          } else {
+            fx = x_max - r;
+          }
+        } else if (fx > x_max) {
+          dx = fx - x_max;
+          let n = u32(dx / range);
+          let r = dx - f32(n) * range;
+          if (n % 2 == 0) {
+            fx = x_max - r;
+          } else {
+            fx = x_min + r;
+          }
+        }
+        return u32(fx);
+      }`:""}
+`,v_=(e,r,t)=>`
+  fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4<f32>) -> ${r} {
+     var pixel = ${r}(0);
+     var indices = vec4<u32>(0);
+     indices[${vs}] = batch;
+     indices[${As}] = channel;`+(()=>{switch(t.paddingMode){case"zeros":return`
+          if (r >= 0 && r < H && c >=0 && c < W) {
+            indices[${Mn}] = u32(r);
+            indices[${bn}] = u32(c);
+          }
+        `;case"border":return`
+          indices[${Mn}] = u32(clamp(r, 0, H - 1));
+          indices[${bn}] = u32(clamp(c, 0, W - 1));
+        `;case"reflection":return`
+          indices[${Mn}] = gs_reflect(r, border[1], border[3]);
+          indices[${bn}] = gs_reflect(c, border[0], border[2]);
+        `;default:throw new Error(`padding mode ${t.paddingMode} is not supported`)}})()+`
+    return ${e.getByIndices("indices")};
+  }
+`,T_=(e,r,t)=>(()=>{switch(t.mode){case"nearest":return`
+          let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${vs}], indices[${As}], border);
+        `;case"bilinear":return`
+          let x1 = i32(floor(x));
+          let y1 = i32(floor(y));
+          let x2 = x1 + 1;
+          let y2 = y1 + 1;
+
+          let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${vs}], indices[${As}], border);
+          let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${vs}], indices[${As}], border);
+          let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${vs}], indices[${As}], border);
+          let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${vs}], indices[${As}], border);
+
+          let dx2 = ${r}(f32(x2) - x);
+          let dx1 = ${r}(x - f32(x1));
+          let dy2 = ${r}(f32(y2) - y);
+          let dy1 = ${r}(y - f32(y1));
+          let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22);
+        `;case"bicubic":return`
+          let x0 = i32(floor(x)) - 1;
+          let y0 = i32(floor(y)) - 1;
+          var p: mat4x4<${r}>;
+          for (var h = 0; h < 4; h++) {
+            for (var w = 0; w < 4; w++) {
+              p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${vs}], indices[${As}], border);
+            }
+          }
+
+          let dx = x - f32(x0 + 1);
+          let dy = y - f32(y0 + 1);
+          let result = gs_bicubic_interpolate(p, dx, dy);
+        `;default:throw new Error(`mode ${t.mode} is not supported`)}})()+`${e.setByOffset("global_idx","result")}`,x_=(e,r)=>{let t=$e("x",e[0].dataType,e[0].dims.length),s=[e[1].dims[0],e[1].dims[1],e[1].dims[2]],i=$e("grid",e[1].dataType,s.length,2),n=[e[0].dims[0],e[0].dims[1],e[1].dims[1],e[1].dims[2]];r.format==="NHWC"&&(n=[e[0].dims[0],e[1].dims[1],e[1].dims[2],e[0].dims[3]],[vs,As,Mn,bn]=[0,3,1,2]);let o=tt("output",e[0].dataType,n.length),a=t.type.value,l=Te.size(n),c=[{type:12,data:l},...nt(e[0].dims,s,n)],p=u=>`
+  ${u.registerUniform("output_size","u32").declareVariables(t,i,o)}
+  ${w_}
+  ${y_(a)}
+  ${M_(r)}
+  ${b_(r)}
+  ${v_(t,a,r)}
+
+  ${u.mainStart()}
+    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+      let H_in = i32(uniforms.x_shape[${Mn}]);
+      let W_in = i32(uniforms.x_shape[${bn}]);
+
+      ${r.alignCorners===0?`
+      let x_min = -0.5;
+      let x_max = f32(W_in) - 0.5;
+      let y_min = -0.5;
+      let y_max = f32(H_in) - 0.5;
+      `:`
+      let x_min = 0.0;
+      let x_max = f32(W_in) - 1.0;
+      let y_min = 0.0;
+      let y_max = f32(H_in) - 1.0;
+      `};
+      let border = vec4<f32>(x_min, y_min, x_max, y_max);
+
+      let indices = ${o.offsetToIndices("global_idx")};
+      var grid_indices = vec3<u32>(indices[${vs}], indices[${Mn}], indices[${bn}]);
+      let nxy = ${i.getByIndices("grid_indices")};
+      var x = gs_denormalize(f32(nxy[0]), W_in);
+      var y = gs_denormalize(f32(nxy[1]), H_in);
+
+      ${T_(o,a,r)}
+  }`;return{name:"GridSample",shaderCache:{hint:`${r.cacheKey}`,inputDependencies:["type","type"]},getRunData:u=>{let h=Te.size(n);return{outputs:[{dims:n,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:c}},getShaderSource:p}},E_=(e,r)=>{g_(e.inputs),e.compute(x_(e.inputs,r))},P_=e=>Dt({alignCorners:e.align_corners,mode:e.mode,paddingMode:e.padding_mode,format:e.format})}),$r,C_,S_,wc,$_,Ri,k_,I_=Ve(()=>{pt(),Mt(),Yt(),Bd(),Qd(),Tt(),Ks(),$r=(e,r)=>e.length>r&&e[r].dims.length>0?e[r]:void 0,C_=(e,r)=>{let t=e[0],s=$r(e,1),i=$r(e,2),n=$r(e,3),o=$r(e,4),a=$r(e,5),l=$r(e,6),c=$r(e,7);if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let p=t.dims[0],u=t.dims[1],h=t.dims.length===3?t.dims[2]:r.numHeads*t.dims[4],g=u,_=0,P=0,A=Math.floor(h/r.numHeads);if(l&&c&&Te.size(l.dims)&&Te.size(c.dims)){if(l.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(l.dims[0]!==p||l.dims[1]!==r.numHeads||l.dims[3]!==A)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(c.dims[0]!==p||c.dims[1]!==r.numHeads||c.dims[3]!==A)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[2]!==c.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(c.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');_=l.dims[2],P=l.dims[2]}else if(l&&Te.size(l.dims)||c&&Te.size(c.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let v;if(s&&Te.size(s.dims)>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(s.dims[2]!==t.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');v=2,g=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==A)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');v=5,g=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==A)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');v=0,g=s.dims[2]}}else{if(t.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(t.dims[2]!==r.numHeads||t.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');v=3}if(n&&Te.size(n.dims)>0){if(n.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(s&&s.dims.length===5&&s.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let y=_+g,k=0;if(o&&Te.size(o.dims)>0){k=8;let x=o.dims;throw x.length===1?x[0]===p?k=1:x[0]===3*p+2&&(k=3):x.length===2&&x[0]===p&&x[1]===y&&(k=5),k===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let E=!1,M=h;if(i&&Te.size(i.dims)>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(g!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');M=i.dims[2]}else{if(g!==i.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');M=i.dims[1]*i.dims[3],E=!0}}let w=!1;if(o&&Te.size(o.dims)>0)throw new Error("Key padding mask is not supported");if(a&&Te.size(a.dims)>0){if(a.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(a.dims[0]!==p||a.dims[1]!==r.numHeads||a.dims[2]!==u||a.dims[3]!==y)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:p,sequenceLength:u,pastSequenceLength:_,kvSequenceLength:g,totalSequenceLength:y,maxSequenceLength:P,inputHiddenSize:0,hiddenSize:h,vHiddenSize:M,headSize:A,vHeadSize:Math.floor(M/r.numHeads),numHeads:r.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:r.maskFilterValue,maskType:k,scale:r.scale,broadcastResPosBias:w,passPastInKv:E,qkvFormat:v}},S_=e=>Dt({...e}),wc=Dt({perm:[0,2,1,3]}),$_=(e,r,t,s,i,n,o)=>{let a=[s,i,n],l=Te.size(a),c=[{type:12,data:l},{type:12,data:o},{type:12,data:n}],p=u=>{let h=tt("qkv_with_bias",r.dataType,a),g=$e("qkv",r.dataType,a),_=$e("bias",t.dataType,a),P=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
+  ${u.registerUniforms(P).declareVariables(g,_,h)}
+  ${u.mainStart()}
+    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+    let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;
+
+    qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];
+  }`};return e.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:a,dataType:r.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:c}),getShaderSource:p},{inputs:[r,t],outputs:[-1]})[0]},Ri=(e,r,t,s,i,n,o,a)=>{let l=n;if(o&&Te.size(o.dims)>0){if(s===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return l=$_(e,n,o,r,s,t*i,a),l=l.reshape([r,s,t,i]),t===1||s===1?l:e.compute(Nr(l,wc.perm),{inputs:[l],outputs:[-1]})[0]}else return n.dims.length===3&&(l=n.reshape([r,s,t,i])),t===1||s===1?l:e.compute(Nr(l,wc.perm),{inputs:[l],outputs:[-1]})[0]},k_=(e,r)=>{let t=C_(e.inputs,r),s=e.inputs[0],i=$r(e.inputs,1),n=$r(e.inputs,2),o=$r(e.inputs,3),a=$r(e.inputs,4),l=$r(e.inputs,5),c=$r(e.inputs,6),p=$r(e.inputs,7);if(s.dims.length===5)throw new Error("Packed QKV is not implemented");if((i==null?void 0:i.dims.length)===5)throw new Error("Packed KV is not implemented");let u=i&&n&&i.dims.length===4&&n.dims.length===4,h=Ri(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,s,o,0);if(u)return Oi(e,h,i,n,a,void 0,c,p,l,t);if(!i||!n)throw new Error("key and value must be provided");let g=Ri(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.headSize,i,o,t.hiddenSize),_=Ri(e,t.batchSize,t.numHeads,t.kvSequenceLength,t.vHeadSize,n,o,2*t.hiddenSize);Oi(e,h,g,_,a,void 0,c,p,l,t)}}),A_,F_,O_,D_,yc,L_,z_,B_=Ve(()=>{pt(),Mt(),Yt(),Tt(),A_=e=>{if(!e||e.length<1)throw new Error("too few inputs")},F_=(e,r)=>{let t=[],s=r.numOutputs;return e[1].dims[0]>0&&(e[1].getBigInt64Array().forEach(i=>t.push(Number(i))),s=t.length),Dt({numOutputs:s,axis:r.axis,splitSizes:t})},O_=e=>`
+fn calculateOutputIndex(index: u32) -> u32 {
+    for (var i: u32 = 0u; i < ${e}u; i += 1u ) {
+    if (index < ${rt("uniforms.size_in_split_axis","i",e)}) {
+        return i;
+    }
+    }
+    return ${e}u;
+}`,D_=e=>{let r=e.length,t=[];for(let s=0;s<r;++s){let i=e[s].setByIndices("indices","input[global_idx]");r===1?t.push(i):s===0?t.push(`if (output_number == ${s}u) { ${i} }`):s===r-1?t.push(`else { ${i} }`):t.push(`else if (output_number == ${s}) { ${i} }`)}return`
+      fn writeBufferData(output_number: u32, indices: ${e[0].type.indices}, global_idx: u32) {
+        ${t.join(`
+`)}
+      }`},yc=(e,r)=>{let t=e[0].dims,s=Te.size(t),i=e[0].dataType,n=Te.normalizeAxis(r.axis,t.length),o=new Array(r.numOutputs),a=$e("input",i,t.length),l=new Array(r.numOutputs),c=[],p=[],u=0,h=[{type:12,data:s}];for(let _=0;_<r.numOutputs;_++){u+=r.splitSizes[_],l[_]=u;let P=t.slice();P[n]=r.splitSizes[_],p.push(P),o[_]=tt(`output${_}`,i,P.length),c.push({dims:p[_],dataType:e[0].dataType})}h.push({type:12,data:l},...nt(t,...p));let g=_=>`
+  ${_.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",l.length).declareVariables(a,...o)}
+  ${O_(l.length)}
+  ${D_(o)}
+
+  ${_.mainStart()}
+    ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")}
+
+    var indices = ${a.offsetToIndices("global_idx")};
+    var index = ${a.indicesGet("indices",n)};
+    let output_number = calculateOutputIndex(index);
+    if (output_number != 0) {
+      index -= ${rt("uniforms.size_in_split_axis","output_number - 1u",l.length)};
+      ${a.indicesSet("indices",n,"index")};
+    }
+    writeBufferData(output_number, indices, global_idx);
+  }`;return{name:"Split",shaderCache:{hint:r.cacheKey,inputDependencies:["rank"]},getShaderSource:g,getRunData:()=>({outputs:c,dispatchGroup:{x:Math.ceil(s/64)},programUniforms:h})}},L_=(e,r)=>{A_(e.inputs);let t=e.inputs.length===1?r:F_(e.inputs,r);e.compute(yc(e.inputs,t),{inputs:[0]})},z_=e=>{let r=e.axis,t=e.splitSizes,s=e.numOutputs<0?t.length:e.numOutputs;if(s!==t.length)throw new Error("numOutputs and splitSizes lengh must be equal");return Dt({axis:r,numOutputs:s,splitSizes:t})}}),R_,N_,Mc,j_,zv=Ve(()=>{Yt(),Qd(),I_(),B_(),Ks(),R_=(e,r)=>{if(r.doRotary)throw new Error("GroupQuerryAttention do_rotary attribute is not supported");if(r.doRotary&&e.length<=7)throw new Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let t=e[0],s=e[1],i=e[2],n=e[3],o=e[4];if(r.localWindowSize!==-1)throw new Error("Local attention is not supported");if(r.softcap!==0)throw new Error("Softcap is not supported");if(r.rotaryInterleaved!==0)throw new Error("Rotary interleaved is not supported");if(r.smoothSoftmax)throw new Error("Smooth softmax is not supported");if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let a=!1,l=t.dims[0],c=t.dims[1],p=t.dims.length===3?a?t.dims[2]/3:t.dims[2]:r.numHeads*t.dims[4],u=c,h=0,g=!s||s.dims.length===0,_=Math.floor(g?p/(r.numHeads+2*r.kvNumHeads):p/r.numHeads);g&&(p=_*r.numHeads);let P=n&&n.dims.length!==0,A=o&&o.dims.length!==0;if(P&&n.dims.length===4&&n.dims[0]===l&&n.dims[1]!==r.kvNumHeads&&n.dims[2]===r.kvNumHeads&&n.dims[3]===_)throw new Error("BSNH pastKey/pastValue is not supported");if(P&&A){if(n.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(o.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');h=n.dims[2]}else if(P||A)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let v=1;if(s&&s.dims.length>0){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(s.dims.length<3||s.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==s.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(s.dims.length===3){if(t.dims[2]%s.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');u=s.dims[1]}else if(s.dims.length===5){if(s.dims[2]!==r.numHeads||s.dims[3]!==2||s.dims[4]!==_)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(i)throw new Error('Expect "value" be none when "key" has packed kv format.');u=s.dims[1]}else{if(s.dims[1]!==r.numHeads||s.dims[3]!==_)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');u=s.dims[2]}}else{if(t.dims.length!==3&&t.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(t.dims.length===5&&(t.dims[2]!==r.numHeads||t.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');v=3}let y=0,k=!1,E=r.kvNumHeads?_*r.kvNumHeads:p;if(i&&i.dims.length>0){if(i.dims.length!==3&&i.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(t.dims[0]!==i.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(i.dims.length===3){if(u!==i.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');E=i.dims[2]}else{if(u!==i.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');E=i.dims[1]*i.dims[3],k=!0}}let M=e.length>4?e[5]:void 0;if(M&&M.dims.length!==1&&M.dims[0]!==l)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:l,sequenceLength:c,pastSequenceLength:h,kvSequenceLength:u,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:p,vHiddenSize:E,headSize:_,vHeadSize:Math.floor(E/r.kvNumHeads),numHeads:r.numHeads,kvNumHeads:r.kvNumHeads,nReps:r.numHeads/r.kvNumHeads,pastPresentShareBuffer:!1,maskType:y,scale:r.scale,broadcastResPosBias:!1,passPastInKv:k,qkvFormat:v}},N_=Dt({perm:[0,2,1,3]}),Mc=(e,r,t)=>{let s=r,i=t.kvNumHeads;return r.dims.length===3&&t.kvSequenceLength!==0&&(s=r.reshape([t.batchSize,t.kvSequenceLength,i,t.headSize]),s=e.compute(Nr(s,N_.perm),{inputs:[s],outputs:[-1]})[0]),s},j_=(e,r)=>{var A;let t=R_(e.inputs,r);if(e.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(((A=e.inputs[1])==null?void 0:A.dims.length)===5)throw new Error("Packed KV is not implemented");let s=e.inputs[0],i=e.inputs[1]&&e.inputs[1].dims.length>0?e.inputs[1]:void 0,n=e.inputs[2]&&e.inputs[2].dims.length>0?e.inputs[2]:void 0,o=e.inputs[3]&&e.inputs[3].dims.length!==0?e.inputs[3]:void 0,a=e.inputs[4]&&e.inputs[4].dims.length!==0?e.inputs[4]:void 0,l=e.inputs.length>4?e.inputs[5]:void 0,c=e.inputs.length>5?e.inputs[6]:void 0,p=t.kvNumHeads?t.kvNumHeads:t.numHeads,u=Dt({axis:2,numOutputs:3,splitSizes:[t.numHeads*t.headSize,p*t.headSize,p*t.headSize]}),[h,g,_]=!i&&!n?e.compute(yc([s],u),{inputs:[s],outputs:[-1,-1,-1]}):[s,i,n],P=Ri(e,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,h,void 0,0);Oi(e,P,Mc(e,g,t),Mc(e,_,t),void 0,void 0,o,a,void 0,t,l,c)}}),bc,V_,U_,W_,Bv=Ve(()=>{pt(),Mt(),Ks(),Tt(),bc=(e,r,t,s,i,n,o,a)=>{let l=Xt(n),c=l===1?"f32":`vec${l}f`,p=l===1?"vec2f":`mat2x${l}f`,u=i*o,h=64;u===1&&(h=256);let g=[i,o,n/l],_=[i,o,2],P=["rank","type","type"],A=[];A.push(...nt(g,_));let v=y=>{let k=$e("x",r.dataType,3,l),E=$e("scale",t.dataType,t.dims),M=$e("bias",s.dataType,s.dims),w=tt("output",1,3,2),x=[k,E,M,w];return`
+  var<workgroup> workgroup_shared : array<${p}, ${h}>;
+  const workgroup_size = ${h}u;
+  ${y.declareVariables(...x)}
+  ${y.mainStart(h)}
+    let batch = workgroup_index / uniforms.x_shape[1];
+    let channel = workgroup_index % uniforms.x_shape[1];
+    let hight = uniforms.x_shape[2];
+    // initialize workgroup memory
+    var sum = ${c}(0);
+    var squared_sum = ${c}(0);
+    for (var h = local_idx; h < hight; h += workgroup_size) {
+      let value = ${c}(${k.get("batch","channel","h")});
+      sum += value;
+      squared_sum += value * value;
+    }
+    workgroup_shared[local_idx] = ${p}(sum, squared_sum);
+    workgroupBarrier();
+
+    for (var currSize = workgroup_size >> 1;  currSize > 0; currSize = currSize >> 1) {
+      if (local_idx < currSize) {
+        workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize];
+      }
+      workgroupBarrier();
+    }
+    if (local_idx == 0) {
+      let sum_final = ${Gs("workgroup_shared[0][0]",l)} / f32(hight * ${l});
+      let squared_sum_final = ${Gs("workgroup_shared[0][1]",l)} / f32(hight * ${l});
+
+      let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${a}));
+      let channel_scale = inv_std_dev * f32(scale[channel]);
+      let channel_shift = f32(bias[channel]) - sum_final * channel_scale;
+      output[workgroup_index] = vec2f(channel_scale, channel_shift);
+    }
+  }`};return e.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${l};${a};${h}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:_,dataType:1}],dispatchGroup:{x:u},programUniforms:A}),getShaderSource:v},{inputs:[r,t,s],outputs:[-1]})[0]},V_=(e,r,t)=>{let s=r[0].dims,i=s,n=2,o=s[0],a=s[1],l=Te.sizeFromDimension(s,n),c=Xt(l),p=Te.size(i)/c,u=bc(e,r[0],r[1],r[2],o,l,a,t.epsilon),h=[o,a,l/c],g=[o,a],_=["type","none"],P=A=>{let v=$e("x",r[0].dataType,h.length,c),y=$e("scale_shift",1,g.length,2),k=tt("output",r[0].dataType,h.length,c),E=[v,y,k];return`
+  ${A.registerUniform("output_size","u32").declareVariables(...E)}
+  ${A.mainStart()}
+  ${A.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+      let outputIndices = ${k.offsetToIndices("global_idx")};
+      let batch = outputIndices[0];
+      let channel = outputIndices[1];
+      let scale_shift = ${y.getByIndices("vec2<u32>(batch, channel)")};
+      let value = ${v.getByOffset("global_idx")} * ${k.type.value}(scale_shift.x) + ${k.type.value}(scale_shift.y);
+      ${k.setByOffset("global_idx","value")};
+  }`};e.compute({name:"InstanceNormalization",shaderCache:{hint:`${c}`,inputDependencies:_},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:[{type:12,data:p},...nt(h,g,h)]}),getShaderSource:P},{inputs:[r[0],u]})},U_=(e,r,t)=>{let s=r[0].dims,i=s,n=s[0],o=s[s.length-1],a=Te.sizeFromDimension(s,1)/o,l=Xt(o),c=Te.size(i)/l,p=[{type:12,data:a},{type:12,data:Math.floor(o/l)}],u=["type","type"],h=!1,g=[0,s.length-1];for(let v=0;v<s.length-2;v++)h=h||s[v+1]!==1,g.push(v+1);h=h&&s[s.length-1]!==1;let _=h?e.compute(Nr(e.inputs[0],g),{inputs:[e.inputs[0]],outputs:[-1]})[0]:e.inputs[0].reshape(Array.from({length:s.length},(v,y)=>s[g[y]])),P=bc(e,_,r[1],r[2],n,a,o,t.epsilon),A=v=>{let y=lr(r[0].dataType),k=l===1?"vec2f":`mat${l}x2f`,E=x=>{let $=x===0?"x":"y",z=l===1?"f32":`vec${l}f`;switch(l){case 1:return`${y}(${z}(scale.${$}))`;case 2:return`vec2<${y}>(${z}(scale[0].${$}, scale[1].${$}))`;case 4:return`vec4<${y}>(${z}(scale[0].${$}, scale[1].${$}, scale[2].${$}, scale[3].${$}))`;default:throw new Error(`Not supported compoents ${l}`)}},M=$e("input",r[0].dataType,r[0].dims,l),w=tt("output",r[0].dataType,i,l);return`
+  @group(0) @binding(0) var<storage, read> input : array<${M.type.storage}>;
+  @group(0) @binding(1) var<storage, read> scale_input : array<${k}>;
+  @group(0) @binding(2) var<storage, read_write> output : array<${w.type.storage}>;
+  struct Uniforms {H: u32, C : u32};
+  @group(0) @binding(3) var<uniform> uniforms: Uniforms;
+
+  ${v.mainStart()}
+    let current_image_number = global_idx / (uniforms.C * uniforms.H);
+    let current_channel_number = global_idx % uniforms.C;
+
+    let scale_offset = current_image_number * uniforms.C + current_channel_number;
+    let scale = scale_input[scale_offset];
+    output[global_idx] = fma(input[global_idx], ${E(0)}, ${E(1)});
+  }`};e.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${l}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:i,dataType:r[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:p}),getShaderSource:A},{inputs:[r[0],P]})},W_=(e,r)=>{r.format==="NHWC"?U_(e,e.inputs,r):V_(e,e.inputs,r)}}),G_,K_,H_,Rv=Ve(()=>{pt(),Mt(),Tt(),G_=e=>{if(!e||e.length<2)throw new Error("layerNorm requires at least 2 inputs.")},K_=(e,r,t)=>{let s=r.simplified,i=e[0].dims,n=e[1],o=!s&&e[2],a=i,l=Te.normalizeAxis(r.axis,i.length),c=Te.sizeToDimension(i,l),p=Te.sizeFromDimension(i,l),u=Te.size(n.dims),h=o?Te.size(o.dims):0;if(u!==p||o&&h!==p)throw new Error(`Size of X.shape()[axis:] == ${p}.
+       Size of scale and bias (if provided) must match this.
+       Got scale size of ${u} and bias size of ${h}`);let g=[];for(let M=0;M<i.length;++M)M<l?g.push(i[M]):g.push(1);let _=Xt(p),P=["type","type"],A=[{type:12,data:c},{type:1,data:p},{type:12,data:Math.floor(p/_)},{type:1,data:r.epsilon}];o&&P.push("type");let v=t>1,y=t>2,k=M=>{let w=lr(e[0].dataType),x=[$e("x",e[0].dataType,e[0].dims,_),$e("scale",n.dataType,n.dims,_)];o&&x.push($e("bias",o.dataType,o.dims,_)),x.push(tt("output",e[0].dataType,a,_)),v&&x.push(tt("mean_data_output",1,g)),y&&x.push(tt("inv_std_output",1,g));let $=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
+  ${M.registerUniforms($).declareVariables(...x)}
+  ${M.mainStart()}
+    ${M.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
+    let offset = global_idx * uniforms.norm_size_vectorized;
+    var mean_vector = ${Vd("f32",_)};
+    var mean_square_vector = ${Vd("f32",_)};
+
+    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
+      let value = ${Vn(w,_,"x[h + offset]")};
+      mean_vector += value;
+      mean_square_vector += value * value;
+    }
+    let mean = ${Gs("mean_vector",_)} / uniforms.norm_size;
+    let inv_std_dev = inverseSqrt(${Gs("mean_square_vector",_)} / uniforms.norm_size ${s?"":"- mean * mean"} + uniforms.epsilon);
+
+    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
+      let f32input = ${Vn(w,_,"x[j + offset]")};
+      let f32scale = ${Vn(w,_,"scale[j]")};
+      output[j + offset] = ${x[0].type.value}((f32input ${s?"":"- mean"}) * inv_std_dev * f32scale
+        ${o?`+ ${Vn(w,_,"bias[j]")}`:""}
+      );
+    }
+
+    ${v?"mean_data_output[global_idx] = mean":""};
+    ${y?"inv_std_output[global_idx] = inv_std_dev":""};
+  }`},E=[{dims:a,dataType:e[0].dataType}];return v&&E.push({dims:g,dataType:1}),y&&E.push({dims:g,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${_};${t};${s}`,inputDependencies:P},getRunData:()=>({outputs:E,dispatchGroup:{x:Math.ceil(c/64)},programUniforms:A}),getShaderSource:k}},H_=(e,r)=>{G_(e.inputs),e.compute(K_(e.inputs,r,e.outputCount))}}),q_,Q_,Nv=Ve(()=>{Mt(),sc(),ac(),q_=e=>{if(!e||e.length!==2)throw new Error("MatMul requires 2 inputs.");if(e[0].dims[e[0].dims.length-1]!==e[1].dims[e[1].dims.length-2])throw new Error("shared dimension does not match.")},Q_=e=>{q_(e.inputs);let r=Nn.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!r)throw new Error("Can't use matmul on the given tensors");let t=r[r.length-1],s=e.inputs[0].dims[e.inputs[0].dims.length-1];if(t<8&&s<8)e.compute(rc(e.inputs,{activation:""},r));else{let i=r[r.length-2],n=Te.size(e.inputs[0].dims.slice(0,-2)),o=Te.size(e.inputs[1].dims.slice(0,-2));if(n!==1&&i===1&&o===1){let a=e.inputs[0].reshape([1,n,s]),l=e.inputs[1].reshape([1,s,t]),c=[1,n,t],p=[a,l];e.compute(Sa(p,{activation:""},r,c),{inputs:p})}else e.compute(Sa(e.inputs,{activation:""},r))}}}),X_,J_,Y_,Z_,eg,jv=Ve(()=>{pt(),Mt(),Yt(),Tt(),X_=(e,r)=>{if(e.length<3||e.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let t=e[0],s=t.dims.length;if(t.dims[s-1]!==r.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((r.k+r.blockSize-1)/r.blockSize),n=r.blockSize/8*r.bits,o=e[1];if(!Te.areEqual(o.dims,[r.n,i,n]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let a=e[2].dims;if(Te.size(a)!==r.n*i)throw new Error("scales input size error.");if(e.length===4){let l=e[3].dims,c=r.bits>4?r.n*i:r.n*Math.floor((i+1)/2);if(Te.size(l)!==c)throw new Error("zeroPoints input size error.")}},J_=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=Te.size(a),c=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(c),g=Xt(o),_=a.concat([i,o]),P=i>1&&o/g%2===0?2:1,A=Te.size(_)/g/P,v=64,y=[],k=[l,i,n/u],E=Te.convertShape(e[1].dims).slice();E.splice(-1,1,c/h),y.push(...nt(k)),y.push(...nt(E)),y.push(...nt(e[2].dims)),e.length===4&&y.push(...nt(Te.convertShape(e[3].dims)));let M=[l,i,o/g];y.push(...nt(M));let w=x=>{let $=k.length,z=$e("a",e[0].dataType,$,u),R=$e("b",12,E.length,h),Q=$e("scales",e[2].dataType,e[2].dims.length),q=[z,R,Q],U=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;U&&q.push(U);let Z=M.length,H=tt("output",e[0].dataType,Z,g),J=lr(e[0].dataType),ie=(()=>{switch(u){case 1:return`array<${J}, 8>`;case 2:return`mat4x2<${J}>`;case 4:return`mat2x4<${J}>`;default:throw new Error(`${u}-component is not supported.`)}})(),ae=()=>{let N=`
+          // reuse a data
+            var input_offset = ${z.indicesToOffset(`${z.type.indices}(batch, row, word_offset)`)};
+            var a_data: ${ie};
+            for (var j: u32 = 0; j < ${8/u}; j++) {
+              a_data[j] = ${z.getByOffset("input_offset")};
+              input_offset++;
+            }
+          `;for(let O=0;O<g*P;O++)N+=`
+            b_value = ${h===1?`b${O}_data`:`b${O}_data[i]`};
+            b_value_lower = unpack4xU8(b_value & b_mask);
+            b_value_upper = unpack4xU8((b_value >> 4) & b_mask);
+            b_quantized_values = ${ie}(${Array.from({length:4},(G,se)=>`${J}(b_value_lower[${se}]), ${J}(b_value_upper[${se}])`).join(", ")});
+            b_dequantized_values = ${u===1?`${ie}(${Array.from({length:8},(G,se)=>`(b_quantized_values[${se}] - ${U?`zero_point${O}`:"zero_point"}) * scale${O}`).join(", ")});`:`(b_quantized_values - ${ie}(${Array(8).fill(`${U?`zero_point${O}`:"zero_point"}`).join(",")})) * scale${O};`};
+            workgroup_shared[local_id.x * ${P} + ${Math.floor(O/g)}]${g>1?`[${O%g}]`:""} += ${Array.from({length:8/u},(G,se)=>`${u===1?`a_data[${se}] * b_dequantized_values[${se}]`:`dot(a_data[${se}], b_dequantized_values[${se}])`}`).join(" + ")};
+          `;return N},ce=()=>{let N=`
+            var col_index = col * ${g};
+            ${U?`
+            let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2;
+            var zero_point_byte_count: u32;
+            var zero_point_word_index: u32;
+            var zero_point_byte_offset: u32;
+            let zero_point_nibble_offset: u32 = block & 0x1u;
+            var zero_point_bits_offset: u32;
+            var zero_point_word: u32;`:`
+            // The default zero point is 8 for unsigned 4-bit quantization.
+            let zero_point = ${J}(8);`}
+            `;for(let O=0;O<g*P;O++)N+=`
+            let scale${O} = ${Q.getByOffset("col_index * nBlocksPerCol + block")};
+            ${U?`
+            zero_point_byte_count = col_index * zero_point_bytes_per_col + (block >> 0x1u);
+            zero_point_word_index = zero_point_byte_count >> 0x2u;
+            zero_point_byte_offset = zero_point_byte_count & 0x3u;
+            zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
+            zero_point_word = ${U.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
+            let zero_point${O} = ${J}((zero_point_word) & 0xFu);`:""}
+            col_index += 1;`;return N},he=()=>{let N=`col_index = col * ${g};`;for(let O=0;O<g*P;O++)N+=`
+            let b${O}_data = ${R.getByIndices(`${R.type.indices}(col_index, block, word)`)};
+            col_index += 1;`;return N+=`
+            var b_value: u32;
+            let b_mask: u32 = 0x0F0F0F0Fu;
+            var b_value_lower: vec4<u32>;
+            var b_value_upper: vec4<u32>;
+            var b_quantized_values: ${ie};
+            var b_dequantized_values: ${ie};`,N};return`
+        var<workgroup> workgroup_shared: array<${H.type.value}, ${P*v}>;
+        ${x.declareVariables(...q,H)}
+        ${x.mainStart([v,1,1])}
+          let output_indices = ${H.offsetToIndices(`(global_idx / ${v}) * ${P}`)};
+          let col = output_indices[2];
+          let row = output_indices[1];
+          let batch = output_indices[0];
+          let nBlocksPerCol = uniforms.b_shape[1];
+
+          for (var block = local_id.x; block < nBlocksPerCol; block += ${v}) {
+            //process one block
+            var word_offset: u32 = block * ${r.blockSize/u};
+            ${ce()}
+            for (var word: u32 = 0; word < ${c}; word += ${h}) {
+              ${he()}
+              for (var i: u32 = 0; i < ${h}; i++) {
+                ${ae()}
+                word_offset += ${8/u};
+              }
+            }
+          }
+          workgroupBarrier();
+
+          if (local_id.x < ${P}) {
+            var output_value: ${H.type.value} = ${H.type.value}(0);
+            var workgroup_shared_offset: u32 = local_id.x;
+            for (var b: u32 = 0u; b < ${v}u; b++) {
+              output_value += workgroup_shared[workgroup_shared_offset];
+              workgroup_shared_offset += ${P};
+            }
+            ${H.setByIndices(`${H.type.indices}(batch, row, col + local_id.x)`,"output_value")};
+          }
+        }`};return{name:"MatMulNBits",shaderCache:{hint:`${r.blockSize};${r.bits};${u};${h};${g};${P};${v}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:_,dataType:p}],dispatchGroup:{x:A},programUniforms:y}),getShaderSource:w}},Y_=(e,r)=>{let t=e[0].dims,s=t.length,i=t[s-2],n=r.k,o=r.n,a=t.slice(0,s-2),l=Te.size(a),c=e[1].dims[2]/4,p=e[0].dataType,u=Xt(r.k),h=Xt(c),g=a.concat([i,o]),_=128,P=o%8===0?8:o%4===0?4:1,A=_/P,v=A*h*8,y=v/u,k=v/r.blockSize,E=Te.size(g)/P,M=[],w=[l,i,n/u],x=Te.convertShape(e[1].dims).slice();x.splice(-1,1,c/h),M.push(...nt(w)),M.push(...nt(x)),M.push(...nt(e[2].dims)),e.length===4&&M.push(...nt(Te.convertShape(e[3].dims)));let $=[l,i,o];M.push(...nt($));let z=R=>{let Q=w.length,q=$e("a",e[0].dataType,Q,u),U=$e("b",12,x.length,h),Z=$e("scales",e[2].dataType,e[2].dims.length),H=[q,U,Z],J=e.length===4?$e("zero_points",12,e[3].dims.length):void 0;J&&H.push(J);let ie=$.length,ae=tt("output",e[0].dataType,ie),ce=lr(e[0].dataType),he=()=>{switch(u){case 1:return`
+          let a_data0 = vec4<${ce}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]);
+          let a_data1 = vec4<${ce}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return`
+          let a_data0 = vec4<${ce}>(sub_a[word_offset], sub_a[word_offset + 1]);
+          let a_data1 = vec4<${ce}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return`
+          let a_data0 = sub_a[word_offset];
+          let a_data1 = sub_a[word_offset + 1];`;default:throw new Error(`${u}-component is not supported.`)}};return`
+        var<workgroup> sub_a: array<${q.type.value}, ${y}>;
+        var<workgroup> inter_results: array<array<${ae.type.value}, ${A}>, ${P}>;
+        ${R.declareVariables(...H,ae)}
+        ${R.mainStart([A,P,1])}
+          let output_indices = ${ae.offsetToIndices(`workgroup_index * ${P}`)};
+          let col = output_indices[2];
+          let row = output_indices[1];
+          let batch = output_indices[0];
+          let n_blocks_per_col = uniforms.b_shape[1];
+          let num_tiles =  (n_blocks_per_col - 1) / ${k} + 1;
+
+          // Loop over shared dimension.
+          for (var tile: u32 = 0; tile < num_tiles; tile += 1) {
+            let a_col_start = tile * ${y};
+            // load one tile A data into shared memory.
+            for (var a_offset = local_idx; a_offset < ${y}; a_offset += ${_})
+            {
+              let a_col = a_col_start + a_offset;
+              if (a_col < uniforms.a_shape[2])
+              {
+                sub_a[a_offset] = ${q.getByIndices(`${q.type.indices}(batch, row, a_col)`)};
+              } else {
+                sub_a[a_offset] = ${q.type.value}(0);
+              }
+            }
+            workgroupBarrier();
+
+            // each thread process one block
+            let b_row = col + local_id.y;
+            let block = tile * ${k} + local_id.x;
+            ${J?`
+            let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2;
+            let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u);
+            let zero_point_word_index = zero_point_byte_count >> 0x2u;
+            let zero_point_byte_offset = zero_point_byte_count & 0x3u;
+            let zero_point_nibble_offset: u32 = block & 0x1u;
+            let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
+            let zero_point_word = ${J.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
+            let zero_point = ${ce}((zero_point_word) & 0xFu);`:`
+            // The default zero point is 8 for unsigned 4-bit quantization.
+            let zero_point = ${ce}(8);`}
+            let scale = ${Z.getByOffset("b_row * n_blocks_per_col + block")};
+            let b_data = ${U.getByIndices(`${U.type.indices}(b_row, block, 0)`)};
+            var word_offset = local_id.x * ${r.blockSize/u};
+            for (var i: u32 = 0; i < ${h}; i++) {
+              ${he()}
+              let b_value = ${h===1?"b_data":"b_data[i]"};
+              let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu);
+              let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu);
+              let b_quantized_values = mat2x4<${ce}>(${Array.from({length:4},(N,O)=>`${ce}(b_value_lower[${O}]), ${ce}(b_value_upper[${O}])`).join(", ")});
+              let b_dequantized_values = (b_quantized_values - mat2x4<${ce}>(${Array(8).fill("zero_point").join(",")})) * scale;
+              inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(N,O)=>`${`dot(a_data${O}, b_dequantized_values[${O}])`}`).join(" + ")};
+              word_offset += ${8/u};
+            }
+            workgroupBarrier();
+          }
+
+          if (local_idx < ${P}) {
+            var output_value: ${ae.type.value} = ${ae.type.value}(0);
+            for (var b = 0u; b < ${A}; b++) {
+              output_value += inter_results[local_idx][b];
+            }
+            if (col + local_idx < uniforms.output_shape[2])
+            {
+              ${ae.setByIndices(`${ae.type.indices}(batch, row, col + local_idx)`,"output_value")}
+            }
+          }
+        }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${r.blockSize};${u};${h};${A};${P}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:g,dataType:p}],dispatchGroup:{x:E},programUniforms:M}),getShaderSource:z}},Z_=(e,r)=>{X_(e.inputs,r),r.blockSize===32&&e.adapterInfo.isVendor("intel")&&e.adapterInfo.isArchitecture("gen-12lp")?e.compute(Y_(e.inputs,r)):e.compute(J_(e.inputs,r))},eg=e=>Dt(e)}),tg,rg,sg,ng,ig,og,ag,lg,dg,Vv=Ve(()=>{pt(),Mt(),Tt(),tg=e=>{if(!e||e.length<1)throw new Error("Too few inputs");if(e[0].dataType!==1&&e[0].dataType!==10)throw new Error("Input type must be float or float16.");if(e.length>=2){let r=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(r=e[3].dims[0]*2===e[1].dims[0]),!r)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},rg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
+            k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
+            if (k < 0) {
+              break;
+            }
+            if (k >= i32(${rt("uniforms.x_shape",i,r)})) {
+              break;
+            }
+            offset += k * i32(${rt("uniforms.x_strides",i,r)});
+        `;return`
+          value = ${e.type.value}(uniforms.constant_value);
+          for (var i = 0; i < 1; i++) {
+            var offset = 0;
+            var k = 0;
+            ${s}
+            value = x[offset];
+          }
+      `},sg=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
+                k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
+                if (k < 0) {
+                  k = -k;
+                }
+                {
+                  let _2n_1 = 2 * (i32(${rt("uniforms.x_shape",i,r)}) - 1);
+                  k = k % _2n_1;
+                  if(k >= i32(${rt("uniforms.x_shape",i,r)})) {
+                    k = _2n_1 - k;
+                  }
+                }
+                offset += k * i32(${rt("uniforms.x_strides",i,r)});
+            `;return`
+              var offset = 0;
+              var k = 0;
+              ${s}
+              value = x[offset];
+          `},ng=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
+                k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
+                if (k < 0) {
+                  k = 0;
+                }
+                if (k >= i32(${rt("uniforms.x_shape",i,r)})) {
+                  k = i32(${rt("uniforms.x_shape",i,r)}) - 1;
+                }
+                offset += k * i32(${rt("uniforms.x_strides",i,r)});
+            `;return`
+              var offset = 0;
+              var k = 0;
+              ${s}
+              value = x[offset];
+          `},ig=(e,r,t)=>{let s="";for(let i=r-1;i>=0;--i)s+=`
+                k = i32(${e.indicesGet("indices",i)}) - ${rt("uniforms.pads",i,t)};
+                if (k < 0)  {
+                  k += i32(${rt("uniforms.x_shape",i,r)}]);
+                }
+                if (k >= i32(${rt("uniforms.x_shape",i,r)})) {
+                  k -= i32(${rt("uniforms.x_shape",i,r)});
+                }
+                offset += k * i32(${rt("uniforms.x_strides",i,r)});
+            `;return`
+              var offset = 0;
+              var k = 0;
+              ${s}
+              value = x[offset];
+          `},og=(e,r,t)=>{switch(t.mode){case 0:return rg(e,r,t.pads.length);case 1:return sg(e,r,t.pads.length);case 2:return ng(e,r,t.pads.length);case 3:return ig(e,r,t.pads.length);default:throw new Error("Invalid mode")}},ag=(e,r)=>{let t=Te.padShape(e[0].dims.slice(),r.pads),s=e[0].dims,i=Te.size(t),n=[{type:12,data:i},{type:6,data:r.pads}],o=e.length>=3&&e[2].data;r.mode===0&&n.push({type:o?e[2].dataType:1,data:r.value}),n.push(...nt(e[0].dims,t));let a=["rank"],l=c=>{let p=tt("output",e[0].dataType,t.length),u=$e("x",e[0].dataType,s.length),h=u.type.value,g=og(p,s.length,r),_=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:r.pads.length}];return r.mode===0&&_.push({name:"constant_value",type:o?h:"f32"}),`
+            ${c.registerUniforms(_).declareVariables(u,p)}
+            ${c.mainStart()}
+            ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+
+            let indices = ${p.offsetToIndices("global_idx")};
+
+            var value = ${h}(0);
+            ${g}
+            output[global_idx] = value;
+        }`};return{name:"Pad",shaderCache:{hint:`${r.mode}${o}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(Te.size(t)/64)},programUniforms:n}),getShaderSource:l}},lg=(e,r)=>{if(e.length>1){let t=e[1].getBigInt64Array(),s=e.length>=3&&e[2].data?e[2].dataType===10?e[2].getUint16Array()[0]:e[2].getFloat32Array()[0]:0,i=e[0].dims.length,n=new Int32Array(2*i).fill(0);if(e.length>=4){let a=e[3].getBigInt64Array();for(let l=0;l<a.length;l++)n[Number(a[l])]=Number(t[l]),n[Number(a[l])+i]=Number(t[l+a.length])}else t.forEach((a,l)=>n[Number(l)]=Number(a));let o=[];return n.forEach(a=>o.push(a)),{mode:r.mode,value:s,pads:o}}else return r},dg=(e,r)=>{tg(e.inputs);let t=lg(e.inputs,r);e.compute(ag(e.inputs,t),{inputs:[0]})}}),Ni,vc,Tc,xc,Ec,cg,ug,Pc,Cc,pg,hg,Sc,mg,fg,$c,_g,gg,wg,yg,Uv=Ve(()=>{ss(),pt(),Mt(),Tt(),Ni=e=>{if(Ut.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error("Pool ops requires 1 input.")},vc=(e,r,t)=>{let s=r.format==="NHWC",i=e.dims.slice();s&&i.splice(1,0,i.pop());let n=Object.hasOwnProperty.call(r,"dilations"),o=r.kernelShape.slice(),a=r.strides.slice(),l=n?r.dilations.slice():[],c=r.pads.slice();Ta.adjustPoolAttributes(t,i,o,a,l,c);let p=Ta.computePoolOutputShape(t,i,a,l,o,c,r.autoPad),u=Object.assign({},r);n?Object.assign(u,{kernelShape:o,strides:a,pads:c,dilations:l,cacheKey:r.cacheKey}):Object.assign(u,{kernelShape:o,strides:a,pads:c,cacheKey:r.cacheKey});let h=p.slice();return h.push(h.splice(1,1)[0]),[u,s?h:p]},Tc=(e,r)=>{let t=r.format==="NHWC",s=Te.size(e),i=Te.size(r.kernelShape),n=[{type:12,data:s},{type:12,data:i}],o=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(r.kernelShape.length<=2){let a=r.kernelShape[r.kernelShape.length-1],l=r.strides[r.strides.length-1],c=r.pads[r.pads.length/2-1],p=r.pads[r.pads.length-1],u=!!(c+p);n.push({type:12,data:a},{type:12,data:l},{type:12,data:c},{type:12,data:p}),o.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let h=!1;if(r.kernelShape.length===2){let g=r.kernelShape[r.kernelShape.length-2],_=r.strides[r.strides.length-2],P=r.pads[r.pads.length/2-2],A=r.pads[r.pads.length-2];h=!!(P+A),n.push({type:12,data:g},{type:12,data:_},{type:12,data:P},{type:12,data:A}),o.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[n,o,!0,u,h]}else{if(t)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let a=Te.computeStrides(r.kernelShape);n.push({type:12,data:a},{type:12,data:r.pads},{type:12,data:r.strides}),o.push({name:"kernelStrides",type:"u32",length:a.length},{name:"pads",type:"u32",length:r.pads.length},{name:"strides",type:"u32",length:r.strides.length});let l=r.pads.reduce((c,p)=>c+p);return[n,o,!!l,!1,!1]}},xc=(e,r,t,s,i,n,o,a,l,c,p,u)=>{let h=i.format==="NHWC",g=r.type.value,_=tt("output",r.type.tensor,s);if(i.kernelShape.length<=2){let P="",A="",v="",y=t-(h?2:1);if(p?P=`
+                for (var i: u32 = 0u; i < uniforms.kw; i++) {
+                  xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i;
+                  if (xIndices[${y}] < 0 || xIndices[${y}]
+                      >= uniforms.x_shape[${y}]) {
+                    pad++;
+                    continue;
+                  }
+                  let x_val = x[${r.indicesToOffset("xIndices")}];
+                  ${n}
+                }`:P=`
+                for (var i: u32 = 0u; i < uniforms.kw; i++) {
+                  xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i;
+                  let x_val = x[${r.indicesToOffset("xIndices")}];
+                  ${n}
+                }`,i.kernelShape.length===2){let k=t-(h?3:2);u?A=`
+                for (var j: u32 = 0u; j < uniforms.kh; j++) {
+                  xIndices[${k}] = indices[${k}] * uniforms.sh - uniforms.phStart + j;
+                  if (xIndices[${k}] < 0 || xIndices[${k}] >= uniforms.x_shape[${k}]) {
+                    pad += i32(uniforms.kw);
+                    continue;
+                  }
+              `:A=`
+                for (var j: u32 = 0u; j < uniforms.kh; j++) {
+                  xIndices[${k}] = indices[${k}] * uniforms.sh - uniforms.phStart + j;
+                `,v=`
+              }
+            `}return`
+            ${e.registerUniforms(l).declareVariables(r,_)}
+
+            ${e.mainStart()}
+              ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+
+              let indices = ${_.offsetToIndices("global_idx")};
+              var xIndices = ${_.offsetToIndices("global_idx")};
+
+              var value = ${g}(${a});
+              var pad = 0;
+              ${A}
+              ${P}
+              ${v}
+              ${o}
+
+              output[global_idx] = value;
+            }`}else{if(h)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let P=i.kernelShape.length,A=i.pads.length,v="";return c?v=`
+                if (xIndices[j] >= uniforms.x_shape[j]) {
+                  pad++;
+                  isPad = true;
+                  break;
+                }
+              }
+              if (!isPad) {
+                let x_val = x[${r.indicesToOffset("xIndices")}];
+                ${n}
+              }`:v=`
+              }
+              let x_val = x[${r.indicesToOffset("xIndices")}];
+              ${n}
+            `,`
+            ${e.registerUniforms(l).declareVariables(r,_)}
+
+            ${e.mainStart()}
+              ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+              let indices = ${_.offsetToIndices("global_idx")};
+              var xIndices = ${_.offsetToIndices("global_idx")};
+
+              var offsets: array<u32, ${P}>;
+
+              var value = ${g}(${a});
+              var pad = 0;
+              var isPad = false;
+
+              for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {
+                var offset = i;
+                for (var j = 0u; j < ${P-1}u; j++) {
+                  offsets[j] = offset / ${rt("uniforms.kernelStrides","j",P)};
+                  offset -= offsets[j] * ${rt("uniforms.kernelStrides","j",P)};
+                }
+                offsets[${P-1}] = offset;
+
+                isPad = false;
+                for (var j = ${t-P}u; j < ${t}u; j++) {
+                  xIndices[j] = indices[j] * ${rt("uniforms.strides",`j - ${t-P}u`,P)}
+                    + offsets[j - ${t-P}u] - ${rt("uniforms.pads","j - 2u",A)};
+                  ${v}
+              }
+              ${o}
+
+              output[global_idx] = value;
+            }`}},Ec=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,cg=e=>`${Ec(e)};${e.countIncludePad}`,ug=e=>`${Ec(e)};${e.storageOrder};${e.dilations}`,Pc=e=>({format:e.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],ceilMode:e.ceil_mode,kernelShape:e.kernel_shape,strides:e.strides,pads:e.pads}),Cc=(e,r,t,s)=>{let[i,n]=vc(r,s,t),o=$e("x",r.dataType,r.dims.length),a=o.type.value,l="value += x_val;",c="";i.countIncludePad?c+=`value /= ${a}(uniforms.kernelSize);`:c+=`value /= ${a}(i32(uniforms.kernelSize) - pad);`;let[p,u,h,g,_]=Tc(n,i);p.push(...nt(r.dims,n));let P=["rank"];return{name:e,shaderCache:{hint:`${s.cacheKey};${h};${g};${_}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(Te.size(n)/64)},programUniforms:p}),getShaderSource:A=>xc(A,o,r.dims.length,n.length,i,l,c,0,u,h,g,_)}},pg=e=>{let r=e.count_include_pad!==0,t=Pc(e);if(t.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let s={countIncludePad:r,...t,cacheKey:""};return{...s,cacheKey:cg(s)}},hg=(e,r)=>{Ni(e.inputs),e.compute(Cc("AveragePool",e.inputs[0],!1,r))},Sc={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},mg=e=>{let r=e.format;return{format:r,...Sc,cacheKey:r}},fg=(e,r)=>{Ni(e.inputs),e.compute(Cc("GlobalAveragePool",e.inputs[0],!0,r))},$c=(e,r,t,s)=>{let[i,n]=vc(r,s,t),o=`
+      value = max(x_val, value);
+    `,a="",l=$e("x",r.dataType,r.dims.length),c=["rank"],[p,u,h,g,_]=Tc(n,i);return p.push(...nt(r.dims,n)),{name:e,shaderCache:{hint:`${s.cacheKey};${h};${g};${_}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:n,dataType:r.dataType}],dispatchGroup:{x:Math.ceil(Te.size(n)/64)},programUniforms:p}),getShaderSource:P=>xc(P,l,r.dims.length,n.length,i,o,a,r.dataType===10?-65504:-1e5,u,h,g,_)}},_g=(e,r)=>{Ni(e.inputs),e.compute($c("MaxPool",e.inputs[0],!1,r))},gg=e=>{let r=e.storage_order,t=e.dilations,s=Pc(e);if(r!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(s.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:r,dilations:t,...s,cacheKey:""};return{...i,cacheKey:ug(i)}},wg=e=>{let r=e.format;return{format:r,...Sc,cacheKey:r}},yg=(e,r)=>{Ni(e.inputs),e.compute($c("GlobalMaxPool",e.inputs[0],!0,r))}}),Mg,bg,vg,Tg,Wv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Mg=(e,r)=>{if(e.length<2||e.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(e.length===3&&e[1].dims===e[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(e.length===3&&e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[0].dataType===6&&e.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(e[1].dims.length!==0&&e[1].dims.length!==1&&e[1].dims.length!==e[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(e.length>2){if(e[0].dataType!==e[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(e[1].dims.length!==e[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!e[1].dims.map((t,s)=>t===e[2].dims[s]).reduce((t,s)=>t&&s,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(r.blockSize>0){if(e[1].dims.length===0||e[1].dims.length===1&&e[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!e[1].dims.map((i,n)=>n===r.axis||i===e[0].dims[n]).reduce((i,n)=>i&&n,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(e[1].dims.length!==e[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let t=e[0].dims[r.axis],s=e[1].dims[r.axis];if(r.blockSize<Math.ceil(t/s)||r.blockSize>Math.ceil(t/(s-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},bg=(e,r)=>{let t=Te.normalizeAxis(r.axis,e[0].dims.length),s=e[0].dataType,i=s===3,n=e[0].dims,o=e[1].dataType,a=Te.size(n),l=s===3||s===2,c=l?[Math.ceil(Te.size(e[0].dims)/4)]:e[0].dims,p=e[1].dims,u=e.length>2?e[2]:void 0,h=u?l?[Math.ceil(Te.size(u.dims)/4)]:u.dims:void 0,g=p.length===0||p.length===1&&p[0]===1,_=g===!1&&p.length===1,P=Xt(a),A=g&&(!l||P===4),v=A?P:1,y=A&&!l?P:1,k=$e("input",l?12:s,c.length,y),E=$e("scale",o,p.length),M=u?$e("zero_point",l?12:s,h.length):void 0,w=tt("output",o,n.length,v),x=[k,E];M&&x.push(M);let $=[c,p];u&&$.push(h);let z=[{type:12,data:a/v},{type:12,data:t},{type:12,data:r.blockSize},...nt(...$,n)],R=Q=>{let q=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
+      ${Q.registerUniforms(q).declareVariables(...x,w)}
+      ${Q.mainStart()}
+          ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+          let output_indices = ${w.offsetToIndices("global_idx")};
+
+          // Set input x
+          ${l?`
+            let input = ${k.getByOffset("global_idx / 4")};
+            let x_vec = ${i?"unpack4xI8(input)":"unpack4xU8(input)"};
+            let x_value = ${v===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${k.getByOffset("global_idx")};`};
+
+          // Set scale input
+          ${g?`let scale_value= ${E.getByOffset("0")}`:_?`
+            let scale_index = ${w.indicesGet("output_indices","uniforms.axis")};
+            let scale_value= ${E.getByOffset("scale_index")};`:`
+            var scale_indices: ${E.type.indices} = output_indices;
+            let index = ${E.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size;
+            ${E.indicesSet("scale_indices","uniforms.axis","index")};
+            let scale_value= ${E.getByIndices("scale_indices")};`};
+
+          // Set zero-point input
+          ${M?g?l?`
+                let zero_point_input = ${M.getByOffset("0")};
+                let zero_point_vec =  ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
+                let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${M.getByOffset("0")}`:_?l?`
+                let zero_point_index = ${w.indicesGet("output_indices","uniforms.axis")};
+                let zero_point_input = ${M.getByOffset("zero_point_index / 4")};
+                let zero_point_vec =  ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
+                let zero_point_value = zero_point_vec[zero_point_index % 4]`:`
+                let zero_point_index = ${w.indicesGet("output_indices","uniforms.axis")};
+                let zero_point_value = ${M.getByOffset("zero_point_index")};`:l?`
+                let zero_point_offset = ${E.indicesToOffset("scale_indices")};
+                let zero_point_input = ${M.getByOffset("zero_point_offset / 4")};
+                let zero_point_vec = ${i?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
+                let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${M.getByIndices("scale_indices")};`:`let zero_point_value = ${l?i?"i32":"u32":k.type.value}(0);`};
+      // Compute and write output
+      ${w.setByOffset("global_idx",`${w.type.value}(x_value - zero_point_value) * scale_value`)};
+      }`};return{name:"DequantizeLinear",shaderCache:{hint:r.cacheKey,inputDependencies:M?["rank","rank","rank"]:["rank","rank"]},getShaderSource:R,getRunData:()=>({outputs:[{dims:n,dataType:o}],dispatchGroup:{x:Math.ceil(a/v/64),y:1,z:1},programUniforms:z})}},vg=(e,r)=>{Mg(e.inputs,r),e.compute(bg(e.inputs,r))},Tg=e=>Dt({axis:e.axis,blockSize:e.blockSize})}),xg,Eg,Pg,Gv=Ve(()=>{ss(),pt(),Tt(),xg=(e,r,t)=>{let s=e===r,i=e<r&&t<0,n=e>r&&t>0;if(s||i||n)throw new Error("Range these inputs' contents are invalid.")},Eg=(e,r,t,s)=>{let i=Math.abs(Math.ceil((r-e)/t)),n=[i],o=i,a=[{type:12,data:o},{type:s,data:e},{type:s,data:t},...nt(n)],l=c=>{let p=tt("output",s,n.length),u=p.type.value,h=[{name:"outputSize",type:"u32"},{name:"start",type:u},{name:"delta",type:u}];return`
+        ${c.registerUniforms(h).declareVariables(p)}
+        ${c.mainStart()}
+        ${c.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+        output[global_idx] = uniforms.start + ${u}(global_idx) * uniforms.delta;
+      }`};return{name:"Range",shaderCache:{hint:`${s}`},getShaderSource:l,getRunData:()=>({outputs:[{dims:n,dataType:s}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:a})}},Pg=e=>{let r=0,t=0,s=0;e.inputs[0].dataType===6?(r=e.inputs[0].getInt32Array()[0],t=e.inputs[1].getInt32Array()[0],s=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(r=e.inputs[0].getFloat32Array()[0],t=e.inputs[1].getFloat32Array()[0],s=e.inputs[2].getFloat32Array()[0]),Ut.webgpu.validateInputContent&&xg(r,t,s),e.compute(Eg(r,t,s,e.inputs[0].dataType),{inputs:[]})}}),Cg,Sg,$g,kg,Kv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Cg=(e,r,t,s)=>{if(e!=="none"&&s!=="i32"&&s!=="u32"&&s!=="f32")throw new Error(`Input ${s} is not supported with reduction ${e}.`);let i=`{
+                var oldValue = 0;
+                loop {
+                  let newValueF32 =`,n=`;
+                  let newValue = bitcast<i32>(newValueF32);
+                  let res = atomicCompareExchangeWeak(&${r}, oldValue, newValue);
+                  if res.exchanged {
+                    break;
+                  }
+                  oldValue = res.old_value;
+                }
+              }`;switch(e){case"none":return`${r}=${t};`;case"add":return s==="i32"||s==="u32"?`atomicAdd(&${r}, bitcast<${s}>(${t}));`:`
+              ${i}bitcast<${s}>(oldValue) + (${t})${n}`;case"max":return s==="i32"||s==="u32"?`atomicMax(&${r}, bitcast<${s}>(${t}));`:`
+                ${i}max(bitcast<f32>(oldValue), (${t}))${n}`;case"min":return s==="i32"||s==="u32"?`atomicMin(&${r}, bitcast<${s}>(${t}));`:`${i}min(bitcast<${s}>(oldValue), (${t}))${n}`;case"mul":return`${i}(bitcast<${s}>(oldValue) * (${t}))${n}`;default:throw new Error(`Reduction ${e} is not supported.`)}},Sg=(e,r)=>{let t=e[0].dims,s=e[1].dims,i=t,n=1,o=Math.ceil(Te.size(s)/n),a=s[s.length-1],l=Te.sizeFromDimension(t,a),c=[{type:12,data:o},{type:12,data:a},{type:12,data:l},...nt(e[1].dims,e[2].dims,i)],p=u=>{let h=$e("indices",e[1].dataType,e[1].dims.length),g=$e("updates",e[2].dataType,e[2].dims.length,n),_=r.reduction!=="none"&&r.reduction!==""?Rp("output",e[0].dataType,i.length):tt("output",e[0].dataType,i.length,n);return`
+      ${u.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(h,g,_)}
+      ${u.mainStart()}
+        ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+  var hasDuplicates = false;
+  if (${r.reduction==="none"}) {
+    let n = ${Te.size(s)};
+    for (var i = 0; i < n; i = i + 1) {
+      for (var j = i + 1; j < n; j = j + 1) {
+        var index_i = i32(indices[i].x);
+        var index_j = i32(indices[j].x);
+        if (index_i == index_j) {
+          hasDuplicates = true;
+          break;
+        }
+      }
+      if (hasDuplicates) {
+        break;
+      }
+    }
+  }
+
+  var data_offset = 0u;
+  var indices_start = uniforms.last_index_dimension * global_idx;
+  if (${r.reduction==="none"} && hasDuplicates) {
+    if (global_idx != 0u) {
+      return;
+    }
+    indices_start = 0u;
+  }
+  let indices_end = indices_start + uniforms.last_index_dimension;
+  for (var i = indices_start; i < indices_end; i++) {
+    var index = i32(indices[i].x);
+    ${e[0].dims.length===1?`
+    let element_count_dim = uniforms.output_strides;
+    let dim_value = uniforms.output_shape;`:`
+    let element_count_dim = uniforms.output_strides[i - indices_start];
+    let dim_value = uniforms.output_shape[i - indices_start + uniforms.last_index_dimension];`}
+    if (index >= 0) {
+      if (index >= i32(dim_value)) {
+        index = i32(dim_value - 1);
+      }
+    } else {
+      if (index < -i32(dim_value)) {
+        index = 0;
+      } else {
+        index += i32(dim_value);
+      }
+    }
+    data_offset += u32((u32(index) * element_count_dim));
+  }
+
+  for (var i = 0u; i < uniforms.num_updates_elements; i++) {
+    let value = updates[uniforms.num_updates_elements * global_idx + i];
+    ${Cg(r.reduction,"output[data_offset + i]","value",_.type.value)}
+  }
+
+      }`};return{name:"ScatterND",shaderCache:{hint:`${r.cacheKey}_${r.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)},programUniforms:c}),getShaderSource:p}},$g=e=>Dt({reduction:e.reduction}),kg=(e,r)=>{e.compute(Sg(e.inputs,r),{inputs:[e.inputs[1],e.inputs[2]],outputs:[]})}}),Ig,Ag,Fg,kc,Og,Dg,Lg,zg,Bg,Rg,Ng,jg,Ic,Vg,Ug,Wg,Gg,Kg,Hg,qg,Hv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Ig=(e,r)=>{if(e.every(t=>t>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),e.length>0){if(r.mode==="linear"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and
+            one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(r.mode==="cubic"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},Ag=(e,r,t)=>{r.every(i=>i>=0&&i<t||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let s=new Array(t).fill(1);return r.forEach((i,n)=>s[i]=e[n]),s},Fg=(e,r,t,s,i,n)=>{let[o,a,l]=t>10?[1,2,3]:[-1,e.length>1?1:-1,-1],c=e[0].dims.length;if(o>0&&e.length>o&&e[o].dims.length>0)e[o].getFloat32Array().forEach(p=>n.push(p));else if(r.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(a>0&&e.length>a&&e[a].dims.length===1&&e[a].dims[0]>0){if(e[a].getFloat32Array().forEach(p=>s.push(p)),s.length!==0&&s.length!==c&&t>=18&&s.length!==r.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");Ig(s,r),r.axes.length>0&&Ag(s,r.axes,c).forEach((p,u)=>s[u]=p)}if(l>0&&e.length>l&&e[l].dims.length===1&&e[l].dims[0]>0&&(e[l].getBigInt64Array().forEach(p=>i.push(Number(p))),i.length!==0&&i.length!==c&&t>=18&&i.length!==r.axes.length))throw new Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(r.axes.length>0){if(s.length!==0&&s.length!==r.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(i.length!==0&&i.length!==r.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof s<"u"&&typeof i<"u"&&s.length>0&&i.length>c)throw new Error("Resize requires only of scales or sizes to be specified")},kc=(e,r,t,s)=>`
+  // The whole part and the fractional part are calculated separately due to inaccuracy of floating
+  // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an
+  // offset-by-one error later in floor().
+  let big = (${e}) * (${r});
+  let whole = ${s}(big / (${t}));
+  let fract = ${s}(big % (${t})) / ${s}(${t});
+  return whole + fract;
+`,Og=(e,r)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
+     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${r} { `+(()=>{switch(e){case"asymmetric":return`
+          if (xScale < 1.0 || floor(xScale) != xScale) {
+            return ${r}(xResized) / ${r}(xScale);
+          } else {
+            ${kc("xResized","lengthOriginal","lengthResized",r)}
+          }
+        `;case"pytorch_half_pixel":return`if (lengthResized > 1) {
+                    return (${r}(xResized) + 0.5) / ${r}(xScale) - 0.5;
+                  } else {
+                    return 0.0;
+                  }`;case"tf_half_pixel_for_nn":return`return (${r}(xResized) + 0.5) / ${r}(xScale);`;case"align_corners":return`if (lengthResized == 1) {
+                    return 0.0;
+                  } else {
+                    ${kc("xResized","lengthOriginal - 1","lengthResized - 1",r)}
+                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
+                    return ${r}(roiStart) * ${r}(lengthOriginal - 1) +
+                        (${r}(xResized) * ${r}(roiEnd - roiStart) * ${r}(lengthOriginal - 1)) /
+                        ${r}(lengthResized - 1);
+                  } else {
+                    return 0.5 * ${r}(roiStart + roiEnd) * ${r}(lengthOriginal - 1);
+                  }`;case"half_pixel_symmetric":return`const outputWidth = ${r}xScale * ${r}(lengthResized);
+                  const adjustment = ${r}(lengthResized) / outputWidth;
+                  const center = ${r}(lengthOriginal) / 2;
+                  const offset = center * (1 - adjustment);
+                  return offset + ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;case"half_pixel":return`return ((${r}(xResized) + 0.5) / ${r}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+"}",Dg=(e,r,t)=>`fn getNearestPixelFromOriginal(xOriginal: ${t}, isDownSample: bool) -> ${t} {`+(()=>{switch(e){case"round_prefer_ceil":return"if (fract(xOriginal) == 0.5) {             return ceil(xOriginal);           } else {             return round(xOriginal);           }";case"floor":return"return floor(xOriginal);";case"ceil":return"return ceil(xOriginal);";case"round_prefer_floor":return"if (fract(xOriginal) == 0.5) {                     return floor(xOriginal);                   } else {                     return round(xOriginal);                   }";case"simple":default:if(r<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${e} is not supported`)}})()+"}",Lg=(e,r,t)=>{let s=new Array(t).fill(0).concat(new Array(t).fill(1)),i=e.length===0?s:e.slice();return r.length>0?(r.forEach((n,o)=>{s[n]=i[o],s[o+t]=i[r.length+o]}),s):i},zg=(e,r,t,s)=>{let i=[];if(t.length>0)if(s.length>0){if(e.forEach(n=>i.push(n)),Math.max(...s)>e.length)throw new Error("axes is out of bound");s.forEach((n,o)=>i[n]=t[o])}else t.forEach(n=>i.push(n));else{if(r.length===0)throw new Error("Resize requires either scales or sizes.");i=e.map((n,o)=>Math.round(n*r[o]))}return i},Bg=(e,r,t)=>{let s=(()=>{switch(t.keepAspectRatioPolicy){case"not_larger":return t.axes.length>0?Math.min(...t.axes.map(n=>r[n]),Number.MAX_VALUE):Math.min(...r,Number.MAX_VALUE);case"not_smaller":return t.axes.length>0?Math.max(...t.axes.map(n=>r[n]),Number.MIN_VALUE):Math.max(...r,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${t.keepAspectRatioPolicy} is not supported`)}})();r.fill(1,0,r.length);let i=e.slice();return t.axes.length>0?(t.axes.forEach(n=>r[n]=s),t.axes.forEach(n=>i[n]=Math.round(e[n]*r[n]))):(r.fill(s,0,r.length),i.forEach((n,o)=>i[o]=Math.round(n*r[o]))),i},Rg=(e,r,t,s,i)=>`
+    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> array<${e.type.value}, ${t.length}> {
+      var original_indices: array<${e.type.value}, ${t.length}>;
+      for (var i:u32 = 0; i < ${t.length}; i++) {
+        var output_index = ${e.indicesGet("output_indices","i")};
+        var scale = ${rt("uniforms.scales","i",s)};
+        var roi_low = ${rt("uniforms.roi","i",i)};
+        var roi_hi = ${rt("uniforms.roi",`i + ${r.length}`,i)};
+        if (scale == 1.0) {
+          original_indices[i] = ${e.type.value}(output_index);
+        } else {
+          var input_shape_i = ${rt("uniforms.input_shape","i",r.length)};
+          var output_shape_i = ${rt("uniforms.output_shape","i",t.length)};
+          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
+                                                                           input_shape_i, roi_low, roi_hi);
+        }
+      }
+      return original_indices;
+    }`,Ng=(e,r,t,s,i,n,o)=>`
+    fn calculateInputIndicesFromOutputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} {
+      var input_indices: ${e.type.indices};
+      for (var i:u32 = 0; i < ${s.length}; i++) {
+        var output_index = ${r.indicesGet("output_indices","i")};
+        var input_index: u32;
+        var scale = ${rt("uniforms.scales","i",i)};
+        if (scale == 1.0) {
+          input_index = output_index;
+        } else {
+          var roi_low = ${rt("uniforms.roi","i",n)};
+          var roi_hi = ${rt("uniforms.roi",`i + ${t.length}`,n)};
+          var input_shape_i = ${rt("uniforms.input_shape","i",t.length)};
+          var output_shape_i = ${rt("uniforms.output_shape","i",s.length)};
+          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
+                                                                        input_shape_i, roi_low, roi_hi);
+          if (!${o} || (original_idx >= 0 && original_idx < ${r.type.value}(input_shape_i))) {
+            if (original_idx < 0) {
+              input_index = 0;
+            } else if (original_idx > ${r.type.value}(input_shape_i - 1)) {
+              input_index = input_shape_i - 1;
+            } else {
+              input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));
+            }
+          } else {
+            input_index = u32(original_idx);
+          }
+        }
+        ${e.indicesSet("input_indices","i","input_index")}
+      }
+      return input_indices;
+    }`,jg=(e,r)=>`
+    fn checkInputIndices(input_indices: ${e.type.indices}) -> bool {
+      for (var i:u32 = 0; i < ${r.length}; i++) {
+        var input_index = ${e.indicesGet("input_indices","i")};
+        if (input_index < 0 || input_index >= ${rt("uniforms.input_shape","i",r.length)}) {
+          return false;
+        }
+      }
+      return true;
+    }`,Ic=(e,r,t,s)=>e.rank>s?`
+    ${e.indicesSet("input_indices",r,"channel")};
+    ${e.indicesSet("input_indices",t,"batch")};
+`:"",Vg=(e,r,t,s,i)=>{let[n,o,a,l]=t.length===2?[-1,0,1,-1]:[0,2,3,1],c=e.type.value;return`
+    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${c} {
+      var input_indices: ${e.type.indices};
+      ${e.indicesSet("input_indices",o,`max(0, min(row, ${t[o]} - 1))`)};
+      ${e.indicesSet("input_indices",a,`max(0, min(col, ${t[a]} - 1))`)};
+      ${Ic(e,l,n,2)}
+      return ${e.getByIndices("input_indices")};
+    }
+
+    fn bilinearInterpolation(output_indices: ${r.type.indices}) -> ${c} {
+      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
+      var row:${c} = originalIndices[${o}];
+      var col:${c} = originalIndices[${a}];
+      ${s?`if (row < 0 || row > (${t[o]} - 1) || col < 0 || col > (${t[a]} - 1)) {
+        return ${i};
+      }`:""};
+      row = max(0, min(row, ${t[o]} - 1));
+      col = max(0, min(col, ${t[a]} - 1));
+      var row1: u32 = u32(row);
+      var col1: u32 = u32(col);
+      var row2: u32 = u32(row + 1);
+      var col2: u32 = u32(col + 1);
+      var channel: u32 = ${t.length>2?`u32(originalIndices[${l}])`:"0"};
+      var batch: u32 =  ${t.length>2?`u32(originalIndices[${n}])`:"0"};
+      var x11: ${c} = getInputValue(batch, channel, row1, col1);
+      var x12: ${c} = getInputValue(batch, channel, row1, col2);
+      var x21: ${c} = getInputValue(batch, channel, row2, col1);
+      var x22: ${c} = getInputValue(batch, channel, row2, col2);
+      var dx1: ${c} = abs(row - ${c}(row1));
+      var dx2: ${c} = abs(${c}(row2) - row);
+      var dy1: ${c} = abs(col - ${c}(col1));
+      var dy2: ${c} = abs(${c}(col2) - col);
+      if (row1 == row2) {
+        dx1 = 0.5;
+        dx2 = 0.5;
+      }
+      if (col1 == col2) {
+        dy1 = 0.5;
+        dy2 = 0.5;
+      }
+      return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);
+    }`},Ug=(e,r,t,s,i,n,o,a,l,c)=>{let p=t.length===2,[u,h]=p?[0,1]:[2,3],g=e.type.value,_=P=>{let A=P===u?"row":"col";return`
+      fn ${A}CubicInterpolation(input_indices: ${e.type.indices}, output_indices: ${r.type.indices}) -> ${g} {
+        var output_index = ${r.indicesGet("output_indices",P)};
+        var originalIdx: ${g} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[P]},
+        ${s[P]}, ${t[P]}, ${n[P]}, ${n[P]} + ${t.length});
+        var fractOriginalIdx: ${g} = originalIdx - floor(originalIdx);
+        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);
+
+        if (${a} && (originalIdx < 0 || originalIdx > (${t[P]} - 1))) {
+          return ${l};
+        }
+        var data: array<${g}, 4> = array<${g}, 4>(0.0, 0.0, 0.0, 0.0);
+        for (var i: i32 = -1; i < 3; i++) {
+          var ${A}: ${g} = originalIdx + ${g}(i);
+          if (${A} < 0 || ${A} >= ${t[P]}) {
+            ${c?`coefs[i + 1] = 0.0;
+                        continue;`:a?`return ${l};`:`${A} = max(0, min(${A}, ${t[P]} - 1));`};
+          }
+        var input_indices_copy: ${e.type.indices} = input_indices;
+          ${e.indicesSet("input_indices_copy",P,`u32(${A})`)};
+          data[i + 1] = ${P===u?e.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
+        }
+        return cubicInterpolation1D(data, coefs);
+      }`};return`
+    ${_(u)};
+    ${_(h)};
+  fn getCubicInterpolationCoefs(s: ${g}) -> array<${g}, 4> {
+    var absS = abs(s);
+    var coeffs: array<${g}, 4> = array<${g}, 4>(0.0, 0.0, 0.0, 0.0);
+    var oneMinusAbsS: ${g} = 1.0 - absS;
+    var twoMinusAbsS: ${g} = 2.0 - absS;
+    var onePlusAbsS: ${g} = 1.0 + absS;
+    coeffs[0] = ((${o} * onePlusAbsS - 5 * ${o}) * onePlusAbsS + 8 * ${o}) * onePlusAbsS - 4 * ${o};
+    coeffs[1] = ((${o} + 2) * absS - (${o} + 3)) * absS * absS + 1;
+    coeffs[2] = ((${o} + 2) * oneMinusAbsS - (${o} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
+    coeffs[3] = ((${o} * twoMinusAbsS - 5 * ${o}) * twoMinusAbsS + 8 * ${o}) * twoMinusAbsS - 4 * ${o};
+    return coeffs;
+  }
+
+  fn cubicInterpolation1D(x: array<${g}, 4>, coefs: array<${g}, 4>) -> ${g} {
+    var coefsSum: ${g} = coefs[0] + coefs[1] + coefs[2] + coefs[3];
+    return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;
+  }
+
+  fn bicubicInterpolation(output_indices: ${r.type.indices}) -> ${g} {
+    var input_indices: ${e.type.indices} = output_indices;
+    return colCubicInterpolation(input_indices, output_indices);
+  }
+    `},Wg=(e,r,t,s,i)=>{let[n,o,a,l,c]=t.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],p=e.type.value;return`
+    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${p} {
+      var input_indices: ${e.type.indices};
+      ${e.indicesSet("input_indices",o,`max(0, min(depth, ${t[o]} - 1))`)};
+      ${e.indicesSet("input_indices",a,`max(0, min(height, ${t[a]} - 1))`)};
+      ${e.indicesSet("input_indices",l,`max(0, min(width, ${t[l]} - 1))`)};
+      ${Ic(e,c,n,3)}
+      return ${e.getByIndices("input_indices")};
+    }
+
+    fn trilinearInterpolation(output_indices: ${r.type.indices}) -> ${p} {
+      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
+      var depth:${p} = originalIndices[${o}];
+      var height:${p} = originalIndices[${a}];
+      var width:${p} = originalIndices[${l}];
+      ${s?`if (depth < 0 || depth > (${t[o]} - 1) || height < 0 || height > (${t[a]} - 1) || width < 0 || (width > ${t[l]} - 1)) {
+      return ${i};
+        }`:""};
+
+    depth = max(0, min(depth, ${t[o]} - 1));
+      height = max(0, min(height, ${t[a]} - 1));
+      width = max(0, min(width, ${t[l]} - 1));
+      var depth1: u32 = u32(depth);
+      var height1: u32 = u32(height);
+      var width1: u32 = u32(width);
+      var depth2: u32 = u32(depth + 1);
+      var height2: u32 = u32(height + 1);
+      var width2: u32 = u32(width + 1);
+      var channel: u32 = ${t.length>3?`u32(originalIndices[${c}])`:"0"};
+      var batch: u32 =  ${t.length>3?`u32(originalIndices[${n}])`:"0"};
+
+      var x111: ${p} = getInputValue(batch, channel, depth1, height1, width1);
+      var x112: ${p} = getInputValue(batch, channel, depth1, height1, width2);
+      var x121: ${p} = getInputValue(batch, channel, depth1, height2, width1);
+      var x122: ${p} = getInputValue(batch, channel, depth1, height2, width2);
+      var x211: ${p} = getInputValue(batch, channel, depth2, height1, width1);
+      var x212: ${p} = getInputValue(batch, channel, depth2, height1, width2);
+      var x221: ${p} = getInputValue(batch, channel, depth2, height2, width1);
+      var x222: ${p} = getInputValue(batch, channel, depth2, height2, width2);
+      var dx1: ${p} = abs(depth - ${p}(depth1));
+      var dx2: ${p} = abs(${p}(depth2) - depth);
+      var dy1: ${p} = abs(height - ${p}(height1));
+      var dy2: ${p} = abs(${p}(height2) - height);
+      var dz1: ${p} = abs(width - ${p}(width1));
+      var dz2: ${p} = abs(${p}(width2) - width);
+      if (depth1 == depth2) {
+        dx1 = 0.5;
+        dx2 = 0.5;
+      }
+      if (height1 == height2) {
+        dy1 = 0.5;
+        dy2 = 0.5;
+      }
+      if (width1 == width2) {
+        dz1 = 0.5;
+        dz2 = 0.5;
+      }
+      return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +
+              x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);
+    }`},Gg=(e,r,t,s,i,n)=>{let o=e.dims,a=Lg(n,r.axes,o.length),l=zg(o,s,i,r.axes),c=s.slice();s.length===0&&(c=o.map((y,k)=>y===0?1:l[k]/y),r.keepAspectRatioPolicy!=="stretch"&&(l=Bg(o,c,r)));let p=tt("output",e.dataType,l.length),u=$e("input",e.dataType,o.length),h=Te.size(l),g=o.length===l.length&&o.every((y,k)=>y===l[k]),_=r.coordinateTransformMode==="tf_crop_and_resize",P=r.extrapolationValue,A=u.type.value,v=y=>`
+      ${g?"":`
+      ${Og(r.coordinateTransformMode,A)};
+      ${(()=>{switch(r.mode){case"nearest":return`
+              ${jg(u,o)};
+              ${Dg(r.nearestMode,t,A)};
+              ${Ng(u,p,o,l,c.length,a.length,_)};
+              `;case"linear":return`
+              ${Rg(p,o,l,c.length,a.length)};
+              ${(()=>{if(o.length===2||o.length===4)return`${Vg(u,p,o,_,P)}`;if(o.length===3||o.length===5)return`${Wg(u,p,o,_,P)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
+            `;case"cubic":return`
+            ${(()=>{if(o.length===2||o.length===4)return`${Ug(u,p,o,l,c,a,r.cubicCoeffA,_,r.extrapolationValue,r.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
+            `;default:throw Error("Invalid resize mode")}})()};
+      `}
+      ${y.registerUniform("output_size","u32").registerUniform("scales","f32",c.length).registerUniform("roi","f32",a.length).declareVariables(u,p)}
+      ${y.mainStart()}
+        ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+        ${g?"output[global_idx] = input[global_idx];":`
+        let output_indices = ${p.offsetToIndices("global_idx")};
+        var input_indices: ${u.type.indices};
+        ${(()=>{switch(r.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
+                if (checkInputIndices(input_indices)) {
+                  output[global_idx] = ${u.getByIndices("input_indices")};
+                } else {
+                  output[global_idx] = ${r.extrapolationValue};
+                }`;case"linear":return`output[global_idx] = ${o.length===2||o.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${r.mode}`)}})()};
+`}
+      }`;return{name:"Resize",shaderCache:{hint:`${r.cacheKey}|${t}|${c.length>0?r.mode==="cubic"?c:c.length:""}|${i.length>0?i:""}|${a.length>0?a:""}|${g}|${r.mode==="nearest"?o.length:o}`,inputDependencies:["rank"]},getShaderSource:v,getRunData:()=>({outputs:[{dims:l,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:[{type:12,data:h},{type:1,data:c},{type:1,data:a},...nt(o,l)]})}},Kg=e=>{let r=e.customDataBuffer;return new Uint32Array(r,r.byteOffset,1)[0]},Hg=(e,r)=>{let t=[],s=[],i=[],n=Kg(e);if(r.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");Fg(e.inputs,r,n,t,s,i),e.compute(Gg(e.inputs[0],r,n,t,s,i),{inputs:[0]})},qg=e=>{let r=e.antialias,t=e.axes,s=e.coordinateTransformMode,i=e.cubicCoeffA,n=e.excludeOutside!==0,o=e.extrapolationValue,a=e.keepAspectRatioPolicy,l=e.mode,c=e.nearestMode===""?"simple":e.nearestMode;return Dt({antialias:r,axes:t,coordinateTransformMode:s,cubicCoeffA:i,excludeOutside:n,extrapolationValue:o,keepAspectRatioPolicy:a,mode:l,nearestMode:c})}}),Qg,Xg,Jg,qv=Ve(()=>{pt(),Mt(),Yt(),Tt(),Qg=(e,r)=>{let[t,s,i,n]=e,{numHeads:o,rotaryEmbeddingDim:a}=r;if(t.dims.length!==3&&t.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${t.dims.length}`);if(!Te.areEqual(s.dims,[])&&!Te.areEqual(s.dims,[1])&&s.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${s.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(n.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${n.dims.length}`);if(!Te.areEqual(i.dims,n.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(a>0&&o===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let l=t.dims[0],c=t.dims[t.dims.length-2],p=i.dims[0],u=Te.sizeFromDimension(t.dims,1)/c,h=a===0?i.dims[1]*2:u/o;if(a>h)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(s.dims.length===2){if(l!==s.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${s.dims[0]}`);if(c!==s.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${s.dims[1]}`)}if(h/2!==i.dims[1]&&a/2!==i.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${i.dims[1]}`);if(c>p)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},Xg=(e,r)=>{let{interleaved:t,numHeads:s,rotaryEmbeddingDim:i,scale:n}=r,o=e[0].dims[0],a=Te.sizeFromDimension(e[0].dims,1),l=e[0].dims[e[0].dims.length-2],c=a/l,p=e[2].dims[1],u=i===0?p*2:c/s,h=new Array(o,l,c/u,u-p),g=Te.computeStrides(h),_=[{type:1,data:n},{type:12,data:h},{type:12,data:g},...e[0].dims.length===3?new Array({type:12,data:[a,c,u,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[a,u,l*u,1]}):[],...nt(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],P=A=>{let v=$e("input",e[0].dataType,e[0].dims.length),y=$e("position_ids",e[1].dataType,e[1].dims.length),k=$e("cos_cache",e[2].dataType,e[2].dims.length),E=$e("sin_cache",e[3].dataType,e[3].dims.length),M=tt("output",e[0].dataType,e[0].dims.length);return A.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:h.length},{name:"global_strides",type:"u32",length:g.length},{name:"input_output_strides",type:"u32",length:g.length}]),`
+        ${A.declareVariables(v,y,k,E,M)}
+
+        ${A.mainStart(jn)}
+          let half_rotary_emb_dim = uniforms.${k.name}_shape[1];
+          let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;
+          let size = uniforms.global_shape[0] * uniforms.global_strides[0];
+          ${A.guardAgainstOutOfBoundsWorkgroupSizes("size")}
+
+          if (bsnh[3] < half_rotary_emb_dim) {
+            let position_ids_idx =
+                ${y.broadcastedIndicesToOffset("bsnh.xy",tt("",y.type.tensor,2))};
+            let position_id =
+                u32(${y.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);
+            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${t});
+            let j = i + select(half_rotary_emb_dim, 1, ${t});
+            let re = ${v.getByOffset("i")} * ${k.get("position_id","bsnh[3]")} -
+                ${v.getByOffset("j")} * ${E.get("position_id","bsnh[3]")};
+            ${M.setByOffset("i","re")}
+            let im = ${v.getByOffset("i")} * ${E.get("position_id","bsnh[3]")} +
+                ${v.getByOffset("j")} * ${k.get("position_id","bsnh[3]")};
+            ${M.setByOffset("j","im")}
+          } else {
+            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
+            ${M.setByOffset("k",v.getByOffset("k"))}
+          }
+        }`};return{name:"RotaryEmbedding",shaderCache:{hint:Dt({interleaved:t}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:P,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(Te.size(h)/jn)},programUniforms:_})}},Jg=(e,r)=>{Qg(e.inputs,r),e.compute(Xg(e.inputs,r))}}),Yg,Zg,ew,Qv=Ve(()=>{pt(),Mt(),Tt(),Yg=e=>{if(!e||e.length<3)throw new Error("layerNorm requires at least 3 inputs.");let r=e[0],t=e[1],s=e[2];if(r.dataType!==t.dataType||r.dataType!==s.dataType)throw new Error("All inputs must have the same data type");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Input must be 2D or 3D");if(t.dims.length!==3&&t.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=r.dims[r.dims.length-1],n=r.dims[r.dims.length-2];if(t.dims[t.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(t.dims[t.dims.length-2]!==n)throw new Error("Skip must have the same sequence length as input");if(s.dims.length!==1)throw new Error("Gamma must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(e.length>3){let o=e[3];if(o.dims.length!==1)throw new Error("Beta must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(e.length>4){let o=e[4];if(o.dims.length!==1)throw new Error("Bias must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Zg=(e,r,t,s)=>{let i=r.simplified,n=e[0].dims,o=Te.size(n),a=n,l=o,c=n.slice(-1)[0],p=s?n.slice(0,-1).concat(1):[],u=!i&&e.length>3,h=e.length>4,g=s&&t>1,_=s&&t>2,P=t>3,A=64,v=Xt(c),y=[{type:12,data:l},{type:12,data:v},{type:12,data:c},{type:1,data:r.epsilon}],k=M=>{let w=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],x=[$e("x",e[0].dataType,e[0].dims,v),$e("skip",e[1].dataType,e[1].dims,v),$e("gamma",e[2].dataType,e[2].dims,v)];u&&x.push($e("beta",e[3].dataType,e[3].dims,v)),h&&x.push($e("bias",e[4].dataType,e[4].dims,v)),x.push(tt("output",e[0].dataType,a,v)),g&&x.push(tt("mean_output",1,p)),_&&x.push(tt("inv_std_output",1,p)),P&&x.push(tt("input_skip_bias_sum",e[0].dataType,a,v));let $=lr(e[0].dataType),z=lr(1,v);return`
+
+      ${M.registerUniforms(w).declareVariables(...x)}
+      var<workgroup> sum_shared : array<${z}, ${A}>;
+      var<workgroup> sum_squared_shared : array<${z}, ${A}>;
+
+      ${M.mainStart([A,1,1])}
+        let ix = local_id.x;
+        let iy = global_id.x / ${A};
+
+        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
+        var stride = hidden_size_vectorized / ${A};
+        let offset = ix * stride + iy * hidden_size_vectorized;
+        let offset1d = stride * ix;
+        if (ix == ${A-1}) {
+          stride = hidden_size_vectorized - stride * ix;
+        }
+        for (var i: u32 = 0; i < stride; i++) {
+          let skip_value = skip[offset + i];
+          let bias_value = ${h?"bias[offset1d + i]":$+"(0.0)"};
+          let input_value = x[offset + i];
+          let value = input_value + skip_value + bias_value;
+          ${P?"input_skip_bias_sum[offset + i] = value;":""}
+          output[offset + i] = value;
+          let f32_value = ${Vn($,v,"value")};
+          sum_shared[ix] += f32_value;
+          sum_squared_shared[ix] += f32_value * f32_value;
+        }
+        workgroupBarrier();
+
+        var reduce_size : u32 = ${A};
+        for (var curr_size = reduce_size >> 1;  curr_size > 0; curr_size = reduce_size >> 1) {
+          reduce_size = curr_size + (reduce_size & 1);
+          if (ix < curr_size) {
+            sum_shared[ix] += sum_shared[ix + reduce_size];
+            sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size];
+          }
+          workgroupBarrier();
+        }
+
+        let sum = sum_shared[0];
+        let square_sum = sum_squared_shared[0];
+        let mean = ${Gs("sum",v)} / f32(uniforms.hidden_size);
+        let inv_std_dev = inverseSqrt(${Gs("square_sum",v)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon);
+        ${g?"mean_output[global_idx] = mean;":""}
+        ${_?"inv_std_output[global_idx] = inv_std_dev;":""}
+
+        for (var i: u32 = 0; i < stride; i++) {
+          output[offset + i] = (output[offset + i] ${i?"":`- ${$}(mean)`}) *
+            ${$}(inv_std_dev) * gamma[offset1d + i]
+            ${u?"+ beta[offset1d + i]":""};
+        }
+      }`},E=[{dims:a,dataType:e[0].dataType}];return t>1&&E.push({dims:p,dataType:1}),t>2&&E.push({dims:p,dataType:1}),t>3&&E.push({dims:n,dataType:e[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${v};${g};${_};${P}`,inputDependencies:e.map((M,w)=>"type")},getShaderSource:k,getRunData:()=>({outputs:E,dispatchGroup:{x:Math.ceil(l/c)},programUniforms:y})}},ew=(e,r)=>{Yg(e.inputs);let t=[0];e.outputCount>1&&t.push(-3),e.outputCount>2&&t.push(-3),e.outputCount>3&&t.push(3),e.compute(Zg(e.inputs,r,e.outputCount,!1),{outputs:t})}}),tw,ji,rw,Ac,sw,nw,iw,ow,Xv=Ve(()=>{pt(),Mt(),Yt(),Tt(),tw=(e,r)=>{if(!e||e.length<1)throw new Error("too few inputs");if(r.axes.length!==0){if(r.axes.length!==r.starts.length||r.axes.length!==r.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(r.starts.length!==r.ends.length)throw new Error("starts and ends must have the same length");e.slice(1).forEach((t,s)=>{if(e[s+1].dataType!==6&&e[s+1].dataType!==7)throw new Error(`Input ${s} must be an array of int32 or int64`)})},ji=(e,r)=>{let t=[];if(e.length>r)if(e[r].dataType===7)e[r].getBigInt64Array().forEach(s=>t.push(Number(s)));else if(e[r].dataType===6)e[r].getInt32Array().forEach(s=>t.push(Number(s)));else throw new Error(`Input ${r} must be an array of int32 or int64`);return t},rw=(e,r)=>{if(e.length>1){let t=ji(e,1),s=ji(e,2),i=ji(e,3);return i.length===0&&(i=[...Array(e[0].dims.length).keys()]),Dt({starts:t,ends:s,axes:i})}else return r},Ac=(e,r,t,s,i)=>{let n=e;return e<0&&(n+=t[s[r]]),i[r]<0?Math.max(0,Math.min(n,t[s[r]]-1)):Math.max(0,Math.min(n,t[s[r]]))},sw=(e,r,t)=>`fn calculateInputIndices(output_indices: ${r.type.indices}) -> ${e.type.indices} {
+          var input_indices: ${e.type.indices};
+          var carry = 0u;
+          for (var i = ${t.length}; i >= 0; i--) {
+            let input_shape_i = ${rt("uniforms.input_shape","i",t.length)};
+            let steps_i = ${rt("uniforms.steps","i",t.length)};
+            let signs_i = ${rt("uniforms.signs","i",t.length)};
+            let starts_i = ${rt("uniforms.starts","i",t.length)};
+            var output_index = ${r.indicesGet("output_indices","i")};
+            var input_index = output_index * steps_i + starts_i + carry;
+            carry = input_index / input_shape_i;
+            input_index = input_index % input_shape_i;
+            if (signs_i < 0) {
+              input_index = input_shape_i - input_index - 1u + starts_i;
+            }
+            ${e.indicesSet("input_indices","i","input_index")};
+          }
+          return input_indices;
+      }`,nw=(e,r)=>{let t=e[0].dims,s=Te.size(t),i=r.axes.length>0?Te.normalizeAxes(r.axes,t.length):[...Array(t.length).keys()],n=ji(e,4);n.forEach(v=>v!==0||(()=>{throw new Error("step cannot be 0")})),n.length===0&&(n=Array(i.length).fill(1));let o=r.starts.map((v,y)=>Ac(v,y,t,i,n)),a=r.ends.map((v,y)=>Ac(v,y,t,i,n));if(i.length!==o.length||i.length!==a.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==t.length)for(let v=0;v<t.length;++v)i.includes(v)||(o.splice(v,0,0),a.splice(v,0,t[v]),n.splice(v,0,1));let l=n.map(v=>Math.sign(v));n.forEach((v,y,k)=>{if(v<0){let E=(a[y]-o[y])/v,M=o[y],w=M+E*n[y];o[y]=w,a[y]=M,k[y]=-v}});let c=t.slice(0);i.forEach((v,y)=>{c[v]=Math.ceil((a[v]-o[v])/n[v])});let p={dims:c,dataType:e[0].dataType},u=tt("output",e[0].dataType,c.length),h=$e("input",e[0].dataType,e[0].dims.length),g=Te.size(c),_=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:o.length},{name:"signs",type:"i32",length:l.length},{name:"steps",type:"u32",length:n.length}],P=[{type:12,data:g},{type:12,data:o},{type:6,data:l},{type:12,data:n},...nt(e[0].dims,c)],A=v=>`
+      ${v.registerUniforms(_).declareVariables(h,u)}
+        ${sw(h,u,t)}
+        ${v.mainStart()}
+          ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
+          let output_indices = ${u.offsetToIndices("global_idx")};
+          let input_indices = calculateInputIndices(output_indices);
+          ${u.setByOffset("global_idx",h.getByIndices("input_indices"))}
+      }`;return{name:"Slice",shaderCache:{hint:`${l.length}_${o.length}_${n.length}`,inputDependencies:["rank"]},getShaderSource:A,getRunData:()=>({outputs:[p],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:P})}},iw=(e,r)=>{tw(e.inputs,r);let t=rw(e.inputs,r);e.compute(nw(e.inputs,t),{inputs:[0]})},ow=e=>{let r=e.starts,t=e.ends,s=e.axes;return Dt({starts:r,ends:t,axes:s})}}),aw,lw,dw,cw,Jv=Ve(()=>{pt(),Mt(),Yt(),Ks(),Tt(),aw=e=>{if(!e||e.length!==1)throw new Error("Softmax op requires 1 input.")},lw=(e,r)=>{let t=e.inputs[0],s=t.dims,i=Te.size(s),n=s.length,o=Te.normalizeAxis(r.axis,n),a=o<s.length-1,l,c=[];a?(c=Array.from({length:n},(x,$)=>$),c[o]=n-1,c[n-1]=o,l=e.compute(Nr(t,c),{inputs:[t],outputs:[-1]})[0]):l=t;let p=l.dims,u=p[n-1],h=i/u,g=Xt(u),_=u/g,P=64;h===1&&(P=256);let A=(x,$)=>$===4?`max(max(${x}.x, ${x}.y), max(${x}.z, ${x}.w))`:$===2?`max(${x}.x, ${x}.y)`:$===3?`max(max(${x}.x, ${x}.y), ${x}.z)`:x,v=$e("x",l.dataType,l.dims,g),y=tt("result",l.dataType,l.dims,g),k=v.type.value,E=lr(l.dataType)==="f32"?`var threadMax = ${k}(-3.402823e+38f);`:`var threadMax = ${k}(-65504.0h);`,M=x=>`
+      var<workgroup> rowMaxShared : ${k};
+      var<workgroup> rowSumShared : ${k};
+      var<workgroup> threadShared : array<${k}, ${P}>;
+
+      fn getValue(row: i32, col: i32, row_stride: i32) -> ${k} {
+        let index = row * row_stride + col;
+        return x[index];
+      }
+
+      fn setValue(row: i32, col: i32, row_stride: i32, value: ${k}) {
+        let index = row * row_stride + col;
+        result[index] = value;
+      }
+      ${x.registerUniform("packedCols","i32").declareVariables(v,y)}
+      ${x.mainStart(P)}
+        let gindex = i32(global_idx);
+        let lindex = i32(local_idx);
+        const wg = ${P};
+        let row = gindex / wg;
+        let cols = uniforms.packedCols;
+        let row_stride : i32 = uniforms.packedCols;
+
+        // find the rows max
+        ${E}
+        for (var col = lindex; col < cols; col += wg) {
+          let value = getValue(row, col, row_stride);
+          threadMax = max(threadMax, value);
+        }
+        if (lindex < cols) {
+          threadShared[lindex] = threadMax;
+        }
+        workgroupBarrier();
+
+        var reduceSize = min(cols, wg);
+        for (var currSize = reduceSize >> 1;  currSize > 0; currSize = reduceSize >> 1) {
+          reduceSize = currSize + (reduceSize & 1);
+          if (lindex < currSize) {
+            threadShared[lindex] = max(threadShared[lindex], threadShared[lindex + reduceSize]);
+          }
+          workgroupBarrier();
+        }
+        if (lindex == 0) {
+          rowMaxShared = ${k}(${A("threadShared[0]",g)});
+        }
+        workgroupBarrier();
+
+        // find the rows sum
+        var threadSum = ${k}(0.0);
+        for (var col = lindex; col < cols; col += wg) {
+          let subExp = exp(getValue(row, col, row_stride) - rowMaxShared);
+          threadSum += subExp;
+        }
+        threadShared[lindex] = threadSum;
+        workgroupBarrier();
+
+        for (var currSize = wg >> 1;  currSize > 0; currSize = currSize >> 1) {
+          if (lindex < currSize) {
+            threadShared[lindex] = threadShared[lindex] + threadShared[lindex + currSize];
+          }
+          workgroupBarrier();
+        }
+        if (lindex == 0) {
+          rowSumShared = ${k}(${Gs("threadShared[0]",g)});
+        }
+        workgroupBarrier();
+
+        // calculate final value for each element in the row
+        for (var col = lindex; col < cols; col += wg) {
+          let value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;
+          setValue(row, col, row_stride, value);
+        }
+      }`,w=e.compute({name:"Softmax",shaderCache:{hint:`${g};${P}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:p,dataType:l.dataType}],dispatchGroup:{x:h},programUniforms:[{type:6,data:_}]}),getShaderSource:M},{inputs:[l],outputs:[a?-1:0]})[0];a&&e.compute(Nr(w,c),{inputs:[w]})},dw=(e,r)=>{aw(e.inputs),lw(e,r)},cw=e=>Dt({axis:e.axis})}),Fc,uw,pw,hw,mw,Yv=Ve(()=>{pt(),Mt(),Tt(),Fc=e=>Array.from(e.getBigInt64Array(),Number),uw=e=>{if(!e||e.length!==2)throw new Error("Tile requires 2 inputs.");if(e[0].dataType!==1&&e[0].dataType!==10&&e[0].dataType!==6&&e[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(e[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(e[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Fc(e[1]).length!==e[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},pw=(e,r)=>{let t=[];for(let s=0;s<e.length;++s)t.push(e[s]*r[s]);return t},hw=(e,r)=>{let t=e[0].dims,s=r??Fc(e[1]),i=pw(t,s),n=Te.size(i),o=e[0].dataType,a=$e("input",o,t.length),l=tt("output",o,i.length),c=p=>`
+      const inputShape = ${a.indices(...t)};
+      ${p.registerUniform("output_size","u32").declareVariables(a,l)}
+      ${p.mainStart()}
+      ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
+      let output_indices = ${l.offsetToIndices("global_idx")};
+      var input_indices: ${a.type.indices};
+      for (var i = 0; i < ${t.length}; i++) {
+        let input_dim_i = ${a.indicesGet("uniforms.input_shape","i")};
+        let input_dim_value = ${l.indicesGet("output_indices","i")}  % input_dim_i;
+
+        ${a.indicesSet("input_indices","i","input_dim_value")}
+      }
+      ${l.setByOffset("global_idx",a.getByIndices("input_indices"))}
+    }`;return{name:"Tile",shaderCache:{hint:`${s}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(n/64)},programUniforms:[{type:12,data:n},...nt(e[0].dims,i)]}),getShaderSource:c}},mw=e=>{uw(e.inputs),e.compute(hw(e.inputs),{inputs:[0]})}}),fw,_w,gw,Zv=Ve(()=>{pt(),Mt(),Tt(),fw=(e,r,t,s,i)=>{let n=tt("output_data",i,t.length,4),o=$e("a_data",r[1].dataType,r[1].dims.length,4),a=$e("b_data",r[2].dataType,r[2].dims.length,4),l=$e("c_data",r[0].dataType,r[0].dims.length,4),c,p=(u,h,g)=>`select(${h}, ${u}, ${g})`;if(!s)c=n.setByOffset("global_idx",p(o.getByOffset("global_idx"),a.getByOffset("global_idx"),l.getByOffset("global_idx")));else{let u=(h,g,_="")=>{let P=`a_data[index_a${g}][component_a${g}]`,A=`b_data[index_b${g}][component_b${g}]`,v=`bool(c_data[index_c${g}] & (0xffu << (component_c${g} * 8)))`;return`
+            let output_indices${g} = ${n.offsetToIndices(`global_idx * 4u + ${g}u`)};
+            let offset_a${g} = ${o.broadcastedIndicesToOffset(`output_indices${g}`,n)};
+            let offset_b${g} = ${a.broadcastedIndicesToOffset(`output_indices${g}`,n)};
+            let offset_c${g} = ${l.broadcastedIndicesToOffset(`output_indices${g}`,n)};
+            let index_a${g} = offset_a${g} / 4u;
+            let index_b${g} = offset_b${g} / 4u;
+            let index_c${g} = offset_c${g} / 4u;
+            let component_a${g} = offset_a${g} % 4u;
+            let component_b${g} = offset_b${g} % 4u;
+            let component_c${g} = offset_c${g} % 4u;
+            ${h}[${g}] = ${_}(${p(P,A,v)});
+          `};i===9?c=`
+            var data = vec4<u32>(0);
+            ${u("data",0,"u32")}
+            ${u("data",1,"u32")}
+            ${u("data",2,"u32")}
+            ${u("data",3,"u32")}
+            output_data[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:c=`
+            ${u("output_data[global_idx]",0)}
+            ${u("output_data[global_idx]",1)}
+            ${u("output_data[global_idx]",2)}
+            ${u("output_data[global_idx]",3)}
+          `}return`
+        ${e.registerUniform("vec_size","u32").declareVariables(l,o,a,n)}
+        ${e.mainStart()}
+        ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
+        ${c}
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TensorManager.ensureTensor {tensorId: ${r}, dataType: ${t}, shape: ${s}, copyOld: ${i}}`);let n=this.tensorTrackersById.get(r);if(!n)throw new Error("Tensor not found.");return n.ensureTensor(e,t,s,i)}upload(e,r){let t=this.tensorTrackersById.get(e);if(!t)throw new Error("Tensor not found.");t.upload(r)}async download(e,r){St("verbose",()=>`[WebNN] TensorManager.download {tensorId: ${e}, dstBuffer: ${r==null?void 0:r.byteLength}}`);let t=this.tensorTrackersById.get(e);if(!t)throw new Error("Tensor not found.");return t.download(r)}releaseTensorsForSession(e){for(let r of this.freeTensors)r.sessionId===e&&r.destroy();this.freeTensors=this.freeTensors.filter(r=>r.sessionId!==e)}registerTensor(e,r,t,s){let i=this.getMLContext(e),n=Oc(),o=new Lc({sessionId:e,context:i,tensor:r,dataType:t,shape:s});return this.tensorTrackersById.set(n,new zc(this,o)),this.externalTensors.add(o),n}async getCachedTensor(e,r,t,s,i,n){let o=this.getMLContext(e);for(let[l,c]of this.freeTensors.entries())if(c.canReuseTensor(o,r,t)){St("verbose",()=>`[WebNN] Reusing tensor {dataType: ${r}, shape: ${t}}`);let p=this.freeTensors.splice(l,1)[0];return p.sessionId=e,p}St("verbose",()=>`[WebNN] MLContext.createTensor {dataType: ${r}, shape: ${t}}`);let a=await o.createTensor({dataType:r,shape:t,dimensions:t,usage:s,writable:i,readable:n});return new Lc({sessionId:e,context:o,tensor:a,dataType:r,shape:t})}releaseTensor(e){this.externalTensors.has(e)&&this.externalTensors.delete(e),this.freeTensors.push(e)}},Cw=(...e)=>new Pw(...e)}),Aa,Sw,$w,nT=Ve(()=>{pt(),hn(),$p(),sT(),Is(),Aa=new Map([[1,"float32"],[10,"float16"],[6,"int32"],[12,"uint32"],[7,"int64"],[13,"uint64"],[22,"int4"],[21,"uint4"],[3,"int8"],[2,"uint8"],[9,"uint8"]]),Sw=(e,r)=>{if(e===r)return!0;if(e===void 0||r===void 0)return!1;let t=Object.keys(e).sort(),s=Object.keys(r).sort();return t.length===s.length&&t.every((i,n)=>i===s[n]&&e[i]===r[i])},$w=class{constructor(e){this.tensorManager=Cw(this),this.mlContextBySessionId=new Map,this.sessionIdsByMLContext=new Map,this.mlContextCache=[],this.sessionGraphInputs=new Map,this.temporaryGraphInputs=[],this.temporarySessionTensorIds=new Map,Ld(e.logLevel,!!e.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw new Error("No active session");return this.activeSessionId}onRunStart(e){St("verbose",()=>`[WebNN] onRunStart {sessionId: ${e}}`),this.activeSessionId=e}onRunEnd(e){St("verbose",()=>`[WebNN] onRunEnd {sessionId: ${e}}`);let r=this.temporarySessionTensorIds.get(e);if(r){for(let t of r)St("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${t}}`),this.tensorManager.releaseTensorId(t);this.temporarySessionTensorIds.delete(e),this.activeSessionId=void 0}}async createMLContext(e){if(e instanceof GPUDevice){let t=this.mlContextCache.findIndex(s=>s.gpuDevice===e);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext(e);return this.mlContextCache.push({gpuDevice:e,mlContext:s}),s}}else if(e===void 0){let t=this.mlContextCache.findIndex(s=>s.options===void 0&&s.gpuDevice===void 0);if(t!==-1)return this.mlContextCache[t].mlContext;{let s=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:s}),s}}let r=this.mlContextCache.findIndex(t=>Sw(t.options,e));if(r!==-1)return this.mlContextCache[r].mlContext;{let t=await navigator.ml.createContext(e);return this.mlContextCache.push({options:e,mlContext:t}),t}}registerMLContext(e,r){this.mlContextBySessionId.set(e,r);let t=this.sessionIdsByMLContext.get(r);t||(t=new Set,this.sessionIdsByMLContext.set(r,t)),t.add(e),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(e,this.temporaryGraphInputs),this.temporaryGraphInputs=[])}onReleaseSession(e){this.sessionGraphInputs.delete(e);let r=this.mlContextBySessionId.get(e);if(!r)return;this.tensorManager.releaseTensorsForSession(e),this.mlContextBySessionId.delete(e);let t=this.sessionIdsByMLContext.get(r);if(t.delete(e),t.size===0){this.sessionIdsByMLContext.delete(r);let s=this.mlContextCache.findIndex(i=>i.mlContext===r);s!==-1&&this.mlContextCache.splice(s,1)}}getMLContext(e){return this.mlContextBySessionId.get(e)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(e){St("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${e}}`),this.tensorManager.releaseTensorId(e)}async ensureTensor(e,r,t,s,i){let n=Aa.get(t);if(!n)throw new Error(`Unsupported ONNX data type: ${t}`);return this.tensorManager.ensureTensor(e??this.currentSessionId,r,n,s,i)}async createTemporaryTensor(e,r,t){St("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${r}, shape: ${t}}`);let s=Aa.get(r);if(!s)throw new Error(`Unsupported ONNX data type: ${r}`);let i=this.tensorManager.reserveTensorId();await 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a=n.get(o);if(!a)throw new Error(`File with name ${o} not found in preloaded files.`);if(r+t>a.byteLength)throw new Error("Out of bounds: data offset and length exceed the external file data size.");let l=a.slice(r,r+t).buffer,c;switch(i.dataType){case"float32":c=new Float32Array(l);break;case"float16":c=typeof Float16Array<"u"&&Float16Array.from?new Float16Array(l):new Uint16Array(l);break;case"int32":c=new Int32Array(l);break;case"uint32":c=new Uint32Array(l);break;case"int64":c=new BigInt64Array(l);break;case"uint64":c=new BigUint64Array(l);break;case"int8":c=new Int8Array(l);break;case"int4":case"uint4":case"uint8":c=new Uint8Array(l);break;default:throw new Error(`Unsupported data type: ${i.dataType} in creating WebNN Constant from external data.`)}return St("verbose",()=>`[WebNN] registerMLConstant {dataType: ${i.dataType}, shape: ${i.shape}}}`),s.constant(i,c)}registerGraphInput(e){this.temporaryGraphInputs.push(e)}isGraphInput(e,r){let t=this.sessionGraphInputs.get(e);return t?t.includes(r):!1}flush(){}}}),kw={};Si(kw,{init:()=>Aw});var Fa,Iw,Aw,iT=Ve(()=>{pt(),rT(),Is(),Mt(),nT(),Fa=class Cb{constructor(r,t,s,i){this.module=r,this.dataType=t,this.data=s,this.dims=i}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let r=Te.size(this.dims);return r===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,r)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let r=Te.size(this.dims);return r===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,r)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let r=Te.size(this.dims);return r===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,r)}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw new Error("Invalid data type");let r=Te.size(this.dims);return r===0?new Uint16Array:new 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this.module.HEAPU8.subarray(this.customDataOffset,this.customDataOffset+this.customDataSize)}compute(e,r){var o;let t=((o=r==null?void 0:r.inputs)==null?void 0:o.map(a=>typeof a=="number"?this.inputs[a]:a))??this.inputs,s=(r==null?void 0:r.outputs)??[],i=(a,l,c)=>new Fa(this.module,l,this.output(a,c),c),n=(a,l)=>{let c=fn(a,l);if(!c)throw new Error(`Unsupported data type: ${a}`);let p=c>0?this.backend.gpuDataManager.create(c).id:0;return new Fa(this.module,a,p,l)};return this.backend.run(e,t,s,i,n,this.outputCount)}output(e,r){let t=this.module.stackSave();try{let s=this.module.PTR_SIZE,i=s===4?"i32":"i64",n=this.module.stackAlloc((1+r.length)*s);this.module.setValue(n,r.length,i);for(let o=0;o<r.length;o++)this.module.setValue(n+s*(o+1),r[o],i);return this.module._JsepOutput(this.opKernelContext,e,n)}catch(s){throw new Error(`Failed to generate kernel's output[${e}] with dims [${r}]. If you are running with pre-allocated output, please make sure the output type/dims are correct. Error: ${s}`)}finally{this.module.stackRestore(t)}}},Aw=async(e,r,t,s)=>{let i=r.jsepInit;if(!i)throw new Error("Failed to initialize JSEP. 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Only 'gpu-buffer' location is supported when enableGraphCapture is true.`);k.push($)}}let E=null;return k.some(M=>M==="gpu-buffer"||M==="ml-tensor")&&(a=i._OrtCreateBinding(n),a===0&&At("Can't create IO binding."),E={handle:a,outputPreferredLocations:k,outputPreferredLocationsEncoded:k.map(M=>Od(M))}),Hs.set(n,[n,c,p,E,A,!1]),[n,v,y]}catch(_){throw c.forEach(P=>i._OrtFree(P)),p.forEach(P=>i._OrtFree(P)),a!==0&&i._OrtReleaseBinding(a)!==0&&At("Can't release IO binding."),n!==0&&i._OrtReleaseSession(n)!==0&&At("Can't release session."),_}finally{i._free(t),o!==0&&i._OrtReleaseSessionOptions(o)!==0&&At("Can't release session options."),l.forEach(_=>i._free(_)),(g=i.unmountExternalData)==null||g.call(i)}},jc=e=>{var l;let r=ar(),t=Hs.get(e);if(!t)throw new Error(`cannot release session. invalid session id: ${e}`);let[s,i,n,o,a]=t;o&&(a&&r._OrtClearBoundOutputs(o.handle)!==0&&At("Can't clear bound outputs."),r._OrtReleaseBinding(o.handle)!==0&&At("Can't release IO 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Ut.wasm.proxy!="boolean"&&(Ut.wasm.proxy=!1),typeof Ut.wasm.trace!="boolean"&&(Ut.wasm.trace=!1),typeof Ut.wasm.numThreads!="number"||!Number.isInteger(Ut.wasm.numThreads)||Ut.wasm.numThreads<=0)if(typeof self<"u"&&!self.crossOriginIsolated)Ut.wasm.numThreads=1;else{let e=typeof navigator>"u"?Kb("node:os").cpus().length:navigator.hardwareConcurrency;Ut.wasm.numThreads=Math.min(4,Math.ceil((e||1)/2))}},Qc=class{async init(e){qc(),await zw(),await Bw(e)}async createInferenceSessionHandler(e,r){let t=new Kw;return await t.loadModel(e,r),Promise.resolve(t)}},qw=new Qc});ss(),ss(),ss();var lT="1.22.0-dev.20250306-ccf8fdd9ea",dT=rp;{let e=(aT(),fa(Hw)).wasmBackend;un("webgpu",e,5),un("webnn",e,5),un("cpu",e,10),un("wasm",e,10)}Object.defineProperty(Ut.versions,"web",{value:lT,enumerable:!0});/**
+* @license
+* Copyright 2021 Google LLC. All Rights Reserved.
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+* =============================================================================
+*//**
+ * @license
+ * Copyright 2020 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ *//**
+ * @license
+ * Copyright 2019 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */var cT=Object.freeze({__proto__:null,get InferenceSession(){return fd},get TRACE(){return Ii},get TRACE_FUNC_BEGIN(){return rs},get TRACE_FUNC_END(){return Hr},get Tensor(){return ts},default:dT,get env(){return Ut},get registerBackend(){return un}}),Fs={},uT={"onnxruntime-common":e=>{e.exports=Vb},"onnxruntime-web":e=>{e.exports=cT},"?2ce3":()=>{},"?7a2c":()=>{},"?a42a":()=>{},"?2b25":()=>{},"?569f":()=>{},"?3f59":()=>{},"?154a":()=>{},"./node_modules/@huggingface/jinja/dist/index.js":(e,r,t)=>{t.r(r),t.d(r,{Environment:()=>Ae,Interpreter:()=>Ie,Template:()=>We,parse:()=>N,tokenize:()=>u});var s=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",BooleanLiteral:"BooleanLiteral",NullLiteral:"NullLiteral",StringLiteral:"StringLiteral",Identifier:"Identifier",Equals:"Equals",OpenParen:"OpenParen",CloseParen:"CloseParen",OpenStatement:"OpenStatement",CloseStatement:"CloseStatement",OpenExpression:"OpenExpression",CloseExpression:"CloseExpression",OpenSquareBracket:"OpenSquareBracket",CloseSquareBracket:"CloseSquareBracket",OpenCurlyBracket:"OpenCurlyBracket",CloseCurlyBracket:"CloseCurlyBracket",Comma:"Comma",Dot:"Dot",Colon:"Colon",Pipe:"Pipe",CallOperator:"CallOperator",AdditiveBinaryOperator:"AdditiveBinaryOperator",MultiplicativeBinaryOperator:"MultiplicativeBinaryOperator",ComparisonBinaryOperator:"ComparisonBinaryOperator",UnaryOperator:"UnaryOperator",Set:"Set",If:"If",For:"For",In:"In",Is:"Is",NotIn:"NotIn",Else:"Else",EndIf:"EndIf",ElseIf:"ElseIf",EndFor:"EndFor",And:"And",Or:"Or",Not:"UnaryOperator",Macro:"Macro",EndMacro:"EndMacro"}),i=Object.freeze({set:s.Set,for:s.For,in:s.In,is:s.Is,if:s.If,else:s.Else,endif:s.EndIf,elif:s.ElseIf,endfor:s.EndFor,and:s.And,or:s.Or,not:s.Not,"not in":s.NotIn,macro:s.Macro,endmacro:s.EndMacro,true:s.BooleanLiteral,false:s.BooleanLiteral,none:s.NullLiteral,True:s.BooleanLiteral,False:s.BooleanLiteral,None:s.NullLiteral}),n=class{constructor(D,ee){this.value=D,this.type=ee}};function o(D){return/\w/.test(D)}function a(D){return/[0-9]/.test(D)}var l=[["{%",s.OpenStatement],["%}",s.CloseStatement],["{{",s.OpenExpression],["}}",s.CloseExpression],["(",s.OpenParen],[")",s.CloseParen],["{",s.OpenCurlyBracket],["}",s.CloseCurlyBracket],["[",s.OpenSquareBracket],["]",s.CloseSquareBracket],[",",s.Comma],[".",s.Dot],[":",s.Colon],["|",s.Pipe],["<=",s.ComparisonBinaryOperator],[">=",s.ComparisonBinaryOperator],["==",s.ComparisonBinaryOperator],["!=",s.ComparisonBinaryOperator],["<",s.ComparisonBinaryOperator],[">",s.ComparisonBinaryOperator],["+",s.AdditiveBinaryOperator],["-",s.AdditiveBinaryOperator],["*",s.MultiplicativeBinaryOperator],["/",s.MultiplicativeBinaryOperator],["%",s.MultiplicativeBinaryOperator],["=",s.Equals]],c=new Map([["n",`
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is not supported when `mode` is set to `symmetric`.");const he=q-1,N=U-1;for(let O=0;O<J;++O){const G=O*H,se=(0,o.calculateReflectOffset)(O,he)*U;for(let X=0;X<H;++X){if(O<q&&X<U)continue;const we=(G+X)*Z,_e=(se+(0,o.calculateReflectOffset)(X,N))*Z;for(let ke=0;ke<Z;++ke)ie[we+ke]=w[_e+ke]}}}w=ie,x=[J,H,Z]}return[w,x]}rescale(w){for(let x=0;x<w.length;++x)w[x]=this.rescale_factor*w[x]}get_resize_output_image_size(w,x){const[$,z]=w.size;let R,Q;if(this.do_thumbnail){const{height:q,width:U}=x;R=Math.min(q,U)}else Number.isInteger(x)?(R=x,Q=this.config.max_size??R):x!==void 0&&(R=x.shortest_edge,Q=x.longest_edge);if(R!==void 0||Q!==void 0){const q=R===void 0?1:Math.max(R/$,R/z),U=$*q,Z=z*q,H=Q===void 0?1:Math.min(Q/U,Q/Z);let J=Math.floor(Number((U*H).toFixed(2))),ie=Math.floor(Number((Z*H).toFixed(2)));return this.size_divisibility!==void 0&&([J,ie]=p([J,ie],this.size_divisibility)),[J,ie]}else if(x!==void 0&&x.width!==void 0&&x.height!==void 0){let q=x.width,U=x.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let Z=U/z,H=q/$;Math.abs(1-H)<Math.abs(1-Z)?Z=H:H=Z,U=c(Z*z,this.config.ensure_multiple_of),q=c(H*$,this.config.ensure_multiple_of)}return[q,U]}else{if(this.size_divisibility!==void 0)return p([$,z],this.size_divisibility);if(x.min_pixels!==void 0&&x.max_pixels!==void 0){const{min_pixels:q,max_pixels:U}=x,Z=this.config.patch_size*this.config.merge_size;return v(z,$,Z,q,U)}else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(x)}`)}}async resize(w){const[x,$]=this.get_resize_output_image_size(w,this.size);return await w.resize(x,$,{resample:this.resample})}async preprocess(w,{do_normalize:x=null,do_pad:$=null,do_convert_rgb:z=null,do_convert_grayscale:R=null,do_flip_channel_order:Q=null}={}){this.do_crop_margin&&(w=await this.crop_margin(w));const[q,U]=w.size;if(z??this.do_convert_rgb?w=w.rgb():R&&(w=w.grayscale()),this.do_resize&&(w=await this.resize(w)),this.do_thumbnail&&(w=await this.thumbnail(w,this.size,this.resample)),this.do_center_crop){let ae,ce;Number.isInteger(this.crop_size)?(ae=this.crop_size,ce=this.crop_size):(ae=this.crop_size.width,ce=this.crop_size.height),w=await w.center_crop(ae,ce)}const Z=[w.height,w.width];let H=Float32Array.from(w.data),J=[w.height,w.width,w.channels];if(this.do_rescale&&this.rescale(H),x??this.do_normalize){let ae=this.image_mean;Array.isArray(this.image_mean)||(ae=new Array(w.channels).fill(ae));let ce=this.image_std;if(Array.isArray(this.image_std)||(ce=new Array(w.channels).fill(ae)),ae.length!==w.channels||ce.length!==w.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${ae.length}) and \`image_std\` (${ce.length}) must match the number of channels in the image (${w.channels}).`);for(let he=0;he<H.length;he+=w.channels)for(let N=0;N<w.channels;++N)H[he+N]=(H[he+N]-ae[N])/ce[N]}if($??this.do_pad){if(this.pad_size)[H,J]=this.pad_image(H,[w.height,w.width,w.channels],this.pad_size);else if(this.size_divisibility){const[ae,ce]=p([J[1],J[0]],this.size_divisibility);[H,J]=this.pad_image(H,J,{width:ae,height:ce})}}if(Q??this.do_flip_channel_order){if(J[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let ae=0;ae<H.length;ae+=3){const ce=H[ae];H[ae]=H[ae+2],H[ae+2]=ce}}const ie=new i.Tensor("float32",H,J).permute(2,0,1);return{original_size:[U,q],reshaped_input_size:Z,pixel_values:ie}}async _call(w,...x){Array.isArray(w)||(w=[w]);const $=await Promise.all(w.map(R=>this.preprocess(R)));return{pixel_values:(0,i.stack)($.map(R=>R.pixel_values),0),original_sizes:$.map(R=>R.original_size),reshaped_input_sizes:$.map(R=>R.reshaped_input_size)}}static async from_pretrained(w,x){const $=await(0,a.getModelJSON)(w,l.IMAGE_PROCESSOR_NAME,!0,x);return new this($)}}},"./src/base/processing_utils.js":(e,r,t)=>{t.r(r),t.d(r,{Processor:()=>o});var s=t("./src/utils/constants.js"),i=t("./src/utils/generic.js"),n=t("./src/utils/hub.js");class o extends i.Callable{constructor(l,c){super(),this.config=l,this.components=c}get image_processor(){return this.components.image_processor}get tokenizer(){return this.components.tokenizer}get feature_extractor(){return this.components.feature_extractor}apply_chat_template(l,c={}){if(!this.tokenizer)throw new Error("Unable to apply chat template without a tokenizer.");return this.tokenizer.apply_chat_template(l,{tokenize:!1,...c})}batch_decode(...l){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.batch_decode(...l)}decode(...l){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.decode(...l)}async _call(l,...c){for(const p of[this.image_processor,this.feature_extractor,this.tokenizer])if(p)return p(l,...c);throw new Error("No image processor, feature extractor, or tokenizer found.")}static async from_pretrained(l,c){const[p,u]=await Promise.all([this.uses_processor_config?(0,n.getModelJSON)(l,s.PROCESSOR_NAME,!0,c):{},Promise.all(this.classes.filter(h=>h in this).map(async h=>{const g=await this[h].from_pretrained(l,c);return[h.replace(/_class$/,""),g]})).then(Object.fromEntries)]);return new this(p,u)}}re(o,"classes",["image_processor_class","tokenizer_class","feature_extractor_class"]),re(o,"uses_processor_config",!1)},"./src/configs.js":(e,r,t)=>{t.r(r),t.d(r,{AutoConfig:()=>c,PretrainedConfig:()=>l,getKeyValueShapes:()=>a});var s=t("./src/utils/core.js"),i=t("./src/utils/hub.js");async function n(p,u){return await(0,i.getModelJSON)(p,"config.json",!0,u)}function o(p){const u={};let h={};switch(p.model_type){case"llava":case"paligemma":case"gemma3":case"florence2":case"llava_onevision":case"idefics3":case"ultravox":case"smolvlm":h=o(p.text_config);break;case"moondream1":h=o(p.phi_config);break;case"musicgen":h=o(p.decoder);break;case"multi_modality":h=o(p.language_config);break;case"gpt2":case"gptj":case"jais":case"codegen":case"gpt_bigcode":u.num_heads="n_head",u.num_layers="n_layer",u.hidden_size="n_embd";break;case"gpt_neox":case"stablelm":case"opt":case"falcon":u.num_heads="num_attention_heads",u.num_layers="num_hidden_layers",u.hidden_size="hidden_size";break;case"llama":case"olmo":case"olmo2":case"mobilellm":case"granite":case"cohere":case"mistral":case"starcoder2":case"qwen2":case"qwen2_vl":case"phi":case"phi3":case"phi3_v":u.num_heads="num_key_value_heads",u.num_layers="num_hidden_layers",u.hidden_size="hidden_size",u.num_attention_heads="num_attention_heads";break;case"gemma":case"gemma2":case"gemma3_text":case"glm":case"helium":u.num_heads="num_key_value_heads",u.num_layers="num_hidden_layers",u.dim_kv="head_dim";break;case"openelm":u.num_heads="num_kv_heads",u.num_layers="num_transformer_layers",u.dim_kv="head_dim";break;case"gpt_neo":case"donut-swin":u.num_heads="num_heads",u.num_layers="num_layers",u.hidden_size="hidden_size";break;case"bloom":u.num_heads="n_head",u.num_layers="n_layer",u.hidden_size="hidden_size";break;case"mpt":u.num_heads="n_heads",u.num_layers="n_layers",u.hidden_size="d_model";break;case"exaone":u.num_heads="num_key_value_heads",u.num_layers="num_layers",u.dim_kv="head_dim",u.num_attention_heads="num_attention_heads";break;case"t5":case"mt5":case"longt5":u.num_decoder_layers="num_decoder_layers",u.num_decoder_heads="num_heads",u.decoder_dim_kv="d_kv",u.num_encoder_layers="num_layers",u.num_encoder_heads="num_heads",u.encoder_dim_kv="d_kv";break;case"bart":case"mbart":case"marian":case"whisper":case"lite-whisper":case"m2m_100":case"blenderbot":case"blenderbot-small":case"florence2_language":u.num_decoder_layers="decoder_layers",u.num_decoder_heads="decoder_attention_heads",u.decoder_hidden_size="d_model",u.num_encoder_layers="encoder_layers",u.num_encoder_heads="encoder_attention_heads",u.encoder_hidden_size="d_model";break;case"speecht5":u.num_decoder_layers="decoder_layers",u.num_decoder_heads="decoder_attention_heads",u.decoder_hidden_size="hidden_size",u.num_encoder_layers="encoder_layers",u.num_encoder_heads="encoder_attention_heads",u.encoder_hidden_size="hidden_size";break;case"trocr":u.num_encoder_layers=u.num_decoder_layers="decoder_layers",u.num_encoder_heads=u.num_decoder_heads="decoder_attention_heads",u.encoder_hidden_size=u.decoder_hidden_size="d_model";break;case"musicgen_decoder":u.num_encoder_layers=u.num_decoder_layers="num_hidden_layers",u.num_encoder_heads=u.num_decoder_heads="num_attention_heads",u.encoder_hidden_size=u.decoder_hidden_size="hidden_size";break;case"moonshine":u.num_decoder_layers="decoder_num_hidden_layers",u.num_decoder_heads="decoder_num_key_value_heads",u.num_encoder_layers="encoder_num_hidden_layers",u.num_encoder_heads="encoder_num_key_value_heads",u.encoder_hidden_size=u.decoder_hidden_size="hidden_size";break;case"vision-encoder-decoder":const _=o(p.decoder),P="num_decoder_layers"in _,A=(0,s.pick)(p,["model_type","is_encoder_decoder"]);return P?(A.num_decoder_layers=_.num_decoder_layers,A.num_decoder_heads=_.num_decoder_heads,A.decoder_hidden_size=_.decoder_hidden_size,A.num_encoder_layers=_.num_encoder_layers,A.num_encoder_heads=_.num_encoder_heads,A.encoder_hidden_size=_.encoder_hidden_size):(A.num_layers=_.num_layers,A.num_heads=_.num_heads,A.hidden_size=_.hidden_size),A}const g={...h,...(0,s.pick)(p,["model_type","multi_query","is_encoder_decoder"])};for(const _ in u)g[_]=p[u[_]];return g}function a(p,{prefix:u="past_key_values",batch_size:h=1}={}){const g={},_=p.normalized_config;if(_.is_encoder_decoder&&"num_encoder_heads"in _&&"num_decoder_heads"in _){const P=_.encoder_dim_kv??_.encoder_hidden_size/_.num_encoder_heads,A=_.decoder_dim_kv??_.decoder_hidden_size/_.num_decoder_heads,v=[h,_.num_encoder_heads,0,P],y=[h,_.num_decoder_heads,0,A];for(let k=0;k<_.num_decoder_layers;++k)g[`${u}.${k}.encoder.key`]=v,g[`${u}.${k}.encoder.value`]=v,g[`${u}.${k}.decoder.key`]=y,g[`${u}.${k}.decoder.value`]=y}else{const P=_.num_heads,A=_.num_layers,v=_.dim_kv??_.hidden_size/(_.num_attention_heads??P);if(_.model_type==="falcon"){const y=[h*P,0,v];for(let k=0;k<A;++k)g[`${u}.${k}.key`]=y,g[`${u}.${k}.value`]=y}else if(_.multi_query){const y=[h*P,0,2*v];for(let k=0;k<A;++k)g[`${u}.${k}.key_value`]=y}else if(_.model_type==="bloom"){const y=[h*P,v,0],k=[h*P,0,v];for(let E=0;E<A;++E)g[`${u}.${E}.key`]=y,g[`${u}.${E}.value`]=k}else if(_.model_type==="openelm")for(let y=0;y<A;++y){const k=[h,P[y],0,v];g[`${u}.${y}.key`]=k,g[`${u}.${y}.value`]=k}else{const y=[h,P,0,v];for(let k=0;k<A;++k)g[`${u}.${k}.key`]=y,g[`${u}.${k}.value`]=y}}return g}class l{constructor(u){re(this,"model_type",null);re(this,"is_encoder_decoder",!1);re(this,"max_position_embeddings");re(this,"transformers.js_config");Object.assign(this,u),this.normalized_config=o(this)}static async from_pretrained(u,{progress_callback:h=null,config:g=null,cache_dir:_=null,local_files_only:P=!1,revision:A="main"}={}){g&&!(g instanceof l)&&(g=new l(g));const v=g??await n(u,{progress_callback:h,config:g,cache_dir:_,local_files_only:P,revision:A});return new this(v)}}class c{static async from_pretrained(...u){return l.from_pretrained(...u)}}},"./src/env.js":(e,r,t)=>{var $,z;t.r(r),t.d(r,{apis:()=>A,env:()=>w});var s=t("?569f"),i=t("?3f59"),n=t("?154a");const o="3.4.2",a=typeof window<"u"&&typeof window.document<"u",l=typeof self<"u"&&(($=self.constructor)==null?void 0:$.name)==="DedicatedWorkerGlobalScope",c=typeof self<"u"&&"caches"in self,p=typeof navigator<"u"&&"gpu"in navigator,u=typeof navigator<"u"&&"ml"in navigator,h=typeof process<"u",g=h&&((z=process==null?void 0:process.release)==null?void 0:z.name)==="node",_=!x(s),P=!x(i),A=Object.freeze({IS_BROWSER_ENV:a,IS_WEBWORKER_ENV:l,IS_WEB_CACHE_AVAILABLE:c,IS_WEBGPU_AVAILABLE:p,IS_WEBNN_AVAILABLE:u,IS_PROCESS_AVAILABLE:h,IS_NODE_ENV:g,IS_FS_AVAILABLE:_,IS_PATH_AVAILABLE:P}),v=_&&P;let y="./";if(v){const R=Object({url:self.location.href}).url;R?y=i.dirname(i.dirname(n.fileURLToPath(R))):typeof __dirname<"u"&&(y=i.dirname(__dirname))}const k=v?i.join(y,"/.cache/"):null,E="/models/",M=v?i.join(y,E):E,w={version:o,backends:{onnx:{}},allowRemoteModels:!0,remoteHost:"https://huggingface.co/",remotePathTemplate:"{model}/resolve/{revision}/",allowLocalModels:!(a||l),localModelPath:M,useFS:_,useBrowserCache:c,useFSCache:_,cacheDir:k,useCustomCache:!1,customCache:null};function x(R){return Object.keys(R).length===0}},"./src/generation/configuration_utils.js":(e,r,t)=>{t.r(r),t.d(r,{GenerationConfig:()=>i});var s=t("./src/utils/core.js");class i{constructor(o){re(this,"max_length",20);re(this,"max_new_tokens",null);re(this,"min_length",0);re(this,"min_new_tokens",null);re(this,"early_stopping",!1);re(this,"max_time",null);re(this,"do_sample",!1);re(this,"num_beams",1);re(this,"num_beam_groups",1);re(this,"penalty_alpha",null);re(this,"use_cache",!0);re(this,"temperature",1);re(this,"top_k",50);re(this,"top_p",1);re(this,"typical_p",1);re(this,"epsilon_cutoff",0);re(this,"eta_cutoff",0);re(this,"diversity_penalty",0);re(this,"repetition_penalty",1);re(this,"encoder_repetition_penalty",1);re(this,"length_penalty",1);re(this,"no_repeat_ngram_size",0);re(this,"bad_words_ids",null);re(this,"force_words_ids",null);re(this,"renormalize_logits",!1);re(this,"constraints",null);re(this,"forced_bos_token_id",null);re(this,"forced_eos_token_id",null);re(this,"remove_invalid_values",!1);re(this,"exponential_decay_length_penalty",null);re(this,"suppress_tokens",null);re(this,"streamer",null);re(this,"begin_suppress_tokens",null);re(this,"forced_decoder_ids",null);re(this,"guidance_scale",null);re(this,"num_return_sequences",1);re(this,"output_attentions",!1);re(this,"output_hidden_states",!1);re(this,"output_scores",!1);re(this,"return_dict_in_generate",!1);re(this,"pad_token_id",null);re(this,"bos_token_id",null);re(this,"eos_token_id",null);re(this,"encoder_no_repeat_ngram_size",0);re(this,"decoder_start_token_id",null);re(this,"generation_kwargs",{});Object.assign(this,(0,s.pick)(o,Object.getOwnPropertyNames(this)))}}},"./src/generation/logits_process.js":(e,r,t)=>{t.r(r),t.d(r,{ClassifierFreeGuidanceLogitsProcessor:()=>v,ForcedBOSTokenLogitsProcessor:()=>l,ForcedEOSTokenLogitsProcessor:()=>c,LogitsProcessor:()=>n,LogitsProcessorList:()=>a,LogitsWarper:()=>o,MinLengthLogitsProcessor:()=>_,MinNewTokensLengthLogitsProcessor:()=>P,NoBadWordsLogitsProcessor:()=>A,NoRepeatNGramLogitsProcessor:()=>h,RepetitionPenaltyLogitsProcessor:()=>g,SuppressTokensAtBeginLogitsProcessor:()=>p,TemperatureLogitsWarper:()=>y,TopKLogitsWarper:()=>E,TopPLogitsWarper:()=>k,WhisperTimeStampLogitsProcessor:()=>u});var s=t("./src/utils/generic.js");t("./src/utils/tensor.js");var i=t("./src/utils/maths.js");class n extends s.Callable{_call(w,x){throw Error("`_call` should be implemented in a subclass")}}class o extends s.Callable{_call(w,x){throw Error("`_call` should be implemented in a subclass")}}class a extends s.Callable{constructor(){super(),this.processors=[]}push(w){this.processors.push(w)}extend(w){this.processors.push(...w)}_call(w,x){let $=x;for(const z of this.processors)$=z(w,$);return $}[Symbol.iterator](){return this.processors.values()}}class l extends n{constructor(w){super(),this.bos_token_id=w}_call(w,x){for(let $=0;$<w.length;++$)if(w[$].length===1){const z=x[$].data;z.fill(-1/0),z[this.bos_token_id]=0}return x}}class c extends n{constructor(w,x){super(),this.max_length=w,this.eos_token_id=Array.isArray(x)?x:[x]}_call(w,x){for(let $=0;$<w.length;++$)if(w[$].length===this.max_length-1){const z=x[$].data;z.fill(-1/0);for(const R of this.eos_token_id)z[R]=0}return x}}class p extends n{constructor(w,x){super(),this.begin_suppress_tokens=w,this.begin_index=x}_call(w,x){for(let $=0;$<w.length;++$)if(w[$].length===this.begin_index){const z=x[$].data;for(const R of this.begin_suppress_tokens)z[R]=-1/0}return x}}class u extends n{constructor(w,x){super(),this.eos_token_id=Array.isArray(w.eos_token_id)?w.eos_token_id[0]:w.eos_token_id,this.no_timestamps_token_id=w.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=x.length,x.at(-1)===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=w.max_initial_timestamp_index}_call(w,x){for(let $=0;$<w.length;++$){const z=x[$].data;if(z[this.no_timestamps_token_id]=-1/0,w[$].length===this.begin_index-1){z.fill(-1/0),z[this.timestamp_begin]=0;continue}const R=w[$].slice(this.begin_index),Q=R.length>=1&&R[R.length-1]>=this.timestamp_begin,q=R.length<2||R[R.length-2]>=this.timestamp_begin;if(Q&&(q?z.subarray(this.timestamp_begin).fill(-1/0):z.subarray(0,this.eos_token_id).fill(-1/0)),w[$].length===this.begin_index&&this.max_initial_timestamp_index!==null){const J=this.timestamp_begin+this.max_initial_timestamp_index;z.subarray(J+1).fill(-1/0)}const U=(0,i.log_softmax)(z),Z=Math.log(U.subarray(this.timestamp_begin).map(Math.exp).reduce((J,ie)=>J+ie)),H=(0,i.max)(U.subarray(0,this.timestamp_begin))[0];Z>H&&z.subarray(0,this.timestamp_begin).fill(-1/0)}return x}}class h extends n{constructor(w){super(),this.no_repeat_ngram_size=w}getNgrams(w){const x=w.length,$=[];for(let R=0;R<x+1-this.no_repeat_ngram_size;++R){const Q=[];for(let q=0;q<this.no_repeat_ngram_size;++q)Q.push(w[R+q]);$.push(Q.map(Number))}const z=new Map;for(const R of $){const Q=R.slice(0,R.length-1),q=JSON.stringify(Q),U=z.get(q)??[];U.push(R[R.length-1]),z.set(q,U)}return z}getGeneratedNgrams(w,x){const $=x.slice(x.length+1-this.no_repeat_ngram_size,x.length);return w.get(JSON.stringify($.map(Number)))??[]}calcBannedNgramTokens(w){const x=[];if(w.length+1<this.no_repeat_ngram_size)return x;{const $=this.getNgrams(w);return this.getGeneratedNgrams($,w)}}_call(w,x){for(let $=0;$<w.length;++$){const z=x[$].data,R=this.calcBannedNgramTokens(w[$]);for(const Q of R)z[Q]=-1/0}return x}}class g extends n{constructor(w){super(),this.penalty=w}_call(w,x){for(let $=0;$<w.length;++$){const z=x[$].data;for(const R of new Set(w[$])){const Q=Number(R);z[Q]<0?z[Q]*=this.penalty:z[Q]/=this.penalty}}return x}}class _ extends n{constructor(w,x){super(),this.min_length=w,this.eos_token_id=Array.isArray(x)?x:[x]}_call(w,x){for(let $=0;$<w.length;++$)if(w[$].length<this.min_length){const z=x[$].data;for(const R of this.eos_token_id)z[R]=-1/0}return x}}class P extends n{constructor(w,x,$){super(),this.prompt_length_to_skip=w,this.min_new_tokens=x,this.eos_token_id=Array.isArray($)?$:[$]}_call(w,x){for(let $=0;$<w.length;++$)if(w[$].length-this.prompt_length_to_skip<this.min_new_tokens){const R=x[$].data;for(const Q of this.eos_token_id)R[Q]=-1/0}return x}}class A extends n{constructor(w,x){super(),this.bad_words_ids=w,this.eos_token_id=Array.isArray(x)?x:[x]}_call(w,x){for(let $=0;$<w.length;++$){const z=x[$].data,R=w[$];for(const Q of this.bad_words_ids){let q=!0;for(let U=1;U<=Q.length-1&&Q.length<R.length;++U)if(Q.at(-U-1)!=R.at(-U)){q=!1;break}q&&(z[Q.at(-1)]=-1/0)}}return x}}class v extends n{constructor(w){if(super(),w<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${w}.`);this.guidance_scale=w}_call(w,x){if(x.dims[0]!==2*w.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${x.dims[0]} for the logits and ${w.length} for the input ids.`);const $=w.length,z=x.slice([0,$],null),R=x.slice([$,x.dims[0]],null);for(let Q=0;Q<R.data.length;++Q)R.data[Q]+=(z.data[Q]-R.data[Q])*this.guidance_scale;return R}}class y extends o{constructor(w){super(),this.temperature=w}_call(w,x){const $=x.data;for(let z=0;z<$.length;++z)$[z]/=this.temperature;return x}}class k extends o{constructor(w,{filter_value:x=-1/0,min_tokens_to_keep:$=1}={}){if(super(),w<0||w>1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${w}`);if(!Number.isInteger($)||$<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${$}`);this.top_p=w,this.filter_value=x,this.min_tokens_to_keep=$}}class E extends o{constructor(w,{filter_value:x=-1/0,min_tokens_to_keep:$=1}={}){if(super(),!Number.isInteger(w)||w<0)throw new Error(`\`top_k\` must be a positive integer, but is ${w}`);this.top_k=Math.max(w,$),this.filter_value=x}}},"./src/generation/logits_sampler.js":(e,r,t)=>{t.r(r),t.d(r,{LogitsSampler:()=>o});var s=t("./src/utils/generic.js"),i=t("./src/utils/tensor.js"),n=t("./src/utils/maths.js");t("./src/generation/configuration_utils.js");class o extends s.Callable{constructor(u){super(),this.generation_config=u}async _call(u){return this.sample(u)}async sample(u){throw Error("sample should be implemented in subclasses.")}getLogits(u,h){let g=u.dims.at(-1),_=u.data;if(h===-1)_=_.slice(-g);else{let P=h*g;_=_.slice(P,P+g)}return _}randomSelect(u){let h=0;for(let _=0;_<u.length;++_)h+=u[_];let g=Math.random()*h;for(let _=0;_<u.length;++_)if(g-=u[_],g<=0)return _;return 0}static getSampler(u){if(u.do_sample)return new l(u);if(u.num_beams>1)return new c(u);if(u.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${u.num_return_sequences}.`);return new a(u)}}class a extends o{async sample(u){const h=(0,n.max)(u.data)[1];return[[BigInt(h),0]]}}class l extends o{async sample(u){let h=u.dims.at(-1);this.generation_config.top_k>0&&(h=Math.min(this.generation_config.top_k,h));const[g,_]=await(0,i.topk)(u,h),P=(0,n.softmax)(g.data);return Array.from({length:this.generation_config.num_beams},()=>{const A=this.randomSelect(P);return[_.data[A],Math.log(P[A])]})}}class c extends o{async sample(u){let h=u.dims.at(-1);this.generation_config.top_k>0&&(h=Math.min(this.generation_config.top_k,h));const[g,_]=await(0,i.topk)(u,h),P=(0,n.softmax)(g.data);return Array.from({length:this.generation_config.num_beams},(A,v)=>[_.data[v],Math.log(P[v])])}}},"./src/generation/stopping_criteria.js":(e,r,t)=>{t.r(r),t.d(r,{EosTokenCriteria:()=>a,InterruptableStoppingCriteria:()=>l,MaxLengthCriteria:()=>o,StoppingCriteria:()=>i,StoppingCriteriaList:()=>n});var s=t("./src/utils/generic.js");class i extends s.Callable{_call(p,u){throw Error("StoppingCriteria needs to be subclassed")}}class n extends s.Callable{constructor(){super(),this.criteria=[]}push(p){this.criteria.push(p)}extend(p){p instanceof n?p=p.criteria:p instanceof i&&(p=[p]),this.criteria.push(...p)}_call(p,u){const h=new Array(p.length).fill(!1);for(const g of this.criteria){const _=g(p,u);for(let P=0;P<h.length;++P)h[P]||(h[P]=_[P])}return h}[Symbol.iterator](){return this.criteria.values()}}class o extends i{constructor(p,u=null){super(),this.max_length=p,this.max_position_embeddings=u}_call(p){return p.map(u=>u.length>=this.max_length)}}class a extends i{constructor(p){super(),Array.isArray(p)||(p=[p]),this.eos_token_id=p}_call(p,u){return p.map(h=>{const g=h.at(-1);return this.eos_token_id.some(_=>g==_)})}}class l extends i{constructor(){super(),this.interrupted=!1}interrupt(){this.interrupted=!0}reset(){this.interrupted=!1}_call(p,u){return new Array(p.length).fill(this.interrupted)}}},"./src/generation/streamers.js":(e,r,t)=>{t.r(r),t.d(r,{BaseStreamer:()=>o,TextStreamer:()=>l,WhisperTextStreamer:()=>c});var s=t("./src/utils/core.js"),i=t("./src/tokenizers.js"),n=t("./src/env.js");class o{put(u){throw Error("Not implemented")}end(){throw Error("Not implemented")}}const a=n.apis.IS_PROCESS_AVAILABLE?p=>process.stdout.write(p):p=>console.log(p);class l extends o{constructor(u,{skip_prompt:h=!1,callback_function:g=null,token_callback_function:_=null,skip_special_tokens:P=!0,decode_kwargs:A={},...v}={}){super(),this.tokenizer=u,this.skip_prompt=h,this.callback_function=g??a,this.token_callback_function=_,this.decode_kwargs={skip_special_tokens:P,...A,...v},this.token_cache=[],this.print_len=0,this.next_tokens_are_prompt=!0}put(u){var A;if(u.length>1)throw Error("TextStreamer only supports batch size of 1");const h=this.next_tokens_are_prompt;if(h&&(this.next_tokens_are_prompt=!1,this.skip_prompt))return;const g=u[0];(A=this.token_callback_function)==null||A.call(this,g),this.token_cache=(0,s.mergeArrays)(this.token_cache,g);const _=this.tokenizer.decode(this.token_cache,this.decode_kwargs);let P;h||_.endsWith(`
+`)?(P=_.slice(this.print_len),this.token_cache=[],this.print_len=0):_.length>0&&(0,i.is_chinese_char)(_.charCodeAt(_.length-1))?(P=_.slice(this.print_len),this.print_len+=P.length):(P=_.slice(this.print_len,_.lastIndexOf(" ")+1),this.print_len+=P.length),this.on_finalized_text(P,!1)}end(){let u;this.token_cache.length>0?(u=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):u="",this.next_tokens_are_prompt=!0,this.on_finalized_text(u,!0)}on_finalized_text(u,h){var g,_;u.length>0&&((g=this.callback_function)==null||g.call(this,u)),h&&this.callback_function===a&&n.apis.IS_PROCESS_AVAILABLE&&((_=this.callback_function)==null||_.call(this,`
+`))}}class c extends l{constructor(u,{skip_prompt:h=!1,callback_function:g=null,token_callback_function:_=null,on_chunk_start:P=null,on_chunk_end:A=null,on_finalize:v=null,time_precision:y=.02,skip_special_tokens:k=!0,decode_kwargs:E={}}={}){super(u,{skip_prompt:h,skip_special_tokens:k,callback_function:g,token_callback_function:_,decode_kwargs:E}),this.timestamp_begin=u.timestamp_begin,this.on_chunk_start=P,this.on_chunk_end=A,this.on_finalize=v,this.time_precision=y,this.waiting_for_timestamp=!1}put(u){var g,_;if(u.length>1)throw Error("WhisperTextStreamer only supports batch size of 1");const h=u[0];if(h.length===1){const P=Number(h[0])-this.timestamp_begin;if(P>=0){const A=P*this.time_precision;this.waiting_for_timestamp?(g=this.on_chunk_end)==null||g.call(this,A):(_=this.on_chunk_start)==null||_.call(this,A),this.waiting_for_timestamp=!this.waiting_for_timestamp,u=[[]]}}return super.put(u)}end(){var 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h.Tensor("int64",BigInt64Array.from(b.flat().map(S=>BigInt(S))),[b.length,b[0].length])}else return new h.Tensor("int64",BigInt64Array.from(b.map(S=>BigInt(S))),[1,b.length])}function H(b){return new h.Tensor("bool",[b],[1])}async function J(b,S){let{encoder_outputs:L,input_ids:oe,decoder_input_ids:ge,...fe}=S;if(!L){const De=(0,a.pick)(S,b.sessions.model.inputNames);L=(await ie(b,De)).last_hidden_state}return fe.input_ids=ge,fe.encoder_hidden_states=L,b.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(fe.encoder_attention_mask=S.attention_mask),await ce(b,fe,!0)}async function ie(b,S){const L=b.sessions.model,oe=(0,a.pick)(S,L.inputNames);if(L.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds){if(!S.input_ids)throw new Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");oe.inputs_embeds=await b.encode_text({input_ids:S.input_ids})}if(L.inputNames.includes("token_type_ids")&&!oe.token_type_ids){if(!oe.input_ids)throw new Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");oe.token_type_ids=(0,h.zeros_like)(oe.input_ids)}if(L.inputNames.includes("pixel_mask")&&!oe.pixel_mask){if(!oe.pixel_values)throw new Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");const ge=oe.pixel_values.dims;oe.pixel_mask=(0,h.ones)([ge[0],ge[2],ge[3]])}return await q(L,oe)}async function ae(b,S){const L=await b.encode(S);return await b.decode(L)}async function ce(b,S,L=!1){const oe=b.sessions[L?"decoder_model_merged":"model"],{past_key_values:ge,...fe}=S;if(oe.inputNames.includes("use_cache_branch")&&(fe.use_cache_branch=H(!!ge)),oe.inputNames.includes("position_ids")&&fe.attention_mask&&!fe.position_ids){const De=["paligemma","gemma3_text","gemma3"].includes(b.config.model_type)?1:0;fe.position_ids=_e(fe,ge,De)}b.addPastKeyValues(fe,ge);const Se=(0,a.pick)(fe,oe.inputNames);return await q(oe,Se)}function he({modality_token_id:b,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:ge}){const fe=oe.tolist().map(Je=>Je.reduce((lt,yt,st)=>(yt==b&&lt.push(st),lt),[])),Se=fe.reduce((Je,lt)=>Je+lt.length,0),De=L.dims[0];if(Se!==De)throw new Error(`Number of tokens and features do not match: tokens: ${Se}, features ${De}`);let Ge=0;for(let Je=0;Je<fe.length;++Je){const lt=fe[Je],yt=S[Je];for(let st=0;st<lt.length;++st)yt[lt[st]].data.set(L[Ge++].data)}return{inputs_embeds:S,attention_mask:ge}}function N({image_token_id:b,inputs_embeds:S,image_features:L,input_ids:oe,attention_mask:ge}){return he({modality_token_id:b,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:ge})}function O({audio_token_id:b,inputs_embeds:S,audio_features:L,input_ids:oe,attention_mask:ge}){return he({modality_token_id:b,inputs_embeds:S,modality_features:L,input_ids:oe,attention_mask:ge})}async function G(b,{encode_function:S,merge_function:L,modality_input_name:oe,modality_output_name:ge,input_ids:fe=null,attention_mask:Se=null,position_ids:De=null,inputs_embeds:Ge=null,past_key_values:Je=null,generation_config:lt=null,logits_processor:yt=null,...st}){const Et=st[oe];if(!Ge){if(Ge=await b.encode_text({input_ids:fe,...st}),Et&&fe.dims[1]!==1){const vt=await S({[oe]:Et,...st});({inputs_embeds:Ge,attention_mask:Se}=L({[ge]:vt,inputs_embeds:Ge,input_ids:fe,attention_mask:Se}))}else if(Je&&Et&&fe.dims[1]===1){const vt=fe.dims[1],ct=Object.values(Je)[0].dims.at(-2);Se=(0,h.cat)([(0,h.ones)([fe.dims[0],ct]),Se.slice(null,[Se.dims[1]-vt,Se.dims[1]])],1)}}if(!De&&b.config.model_type==="qwen2_vl"){const{image_grid_thw:vt,video_grid_thw:ct}=st;[De]=b.get_rope_index(fe,vt,ct,Se)}return await ce(b,{inputs_embeds:Ge,past_key_values:Je,attention_mask:Se,position_ids:De,generation_config:lt,logits_processor:yt},!0)}async function se(b,S){return await G(b,{...S,modality_input_name:"audio_values",modality_output_name:"audio_features",encode_function:b.encode_audio.bind(b),merge_function:b._merge_input_ids_with_audio_features.bind(b)})}async function X(b,S){return await G(b,{...S,modality_input_name:"pixel_values",modality_output_name:"image_features",encode_function:b.encode_image.bind(b),merge_function:b._merge_input_ids_with_image_features.bind(b)})}function we(b,S=0){const[L,oe]=b.dims,ge=b.data,fe=new BigInt64Array(ge.length);for(let Se=0;Se<L;++Se){const De=Se*oe;let Ge=BigInt(S);for(let Je=0;Je<oe;++Je){const lt=De+Je;ge[lt]===0n?fe[lt]=BigInt(1):(fe[lt]=Ge,Ge+=ge[lt])}}return{data:fe,dims:b.dims}}function _e(b,S=null,L=0){const{input_ids:oe,inputs_embeds:ge,attention_mask:fe}=b,{data:Se,dims:De}=we(fe,L);let Ge=new h.Tensor("int64",Se,De);if(S){const Je=-(oe??ge).dims.at(1);Ge=Ge.slice(null,[Je,null])}return Ge}function ke(b,S,L,oe){if(L.past_key_values){const ge=Object.values(L.past_key_values)[0].dims.at(-2),{input_ids:fe,attention_mask:Se}=L;if(!(Se&&Se.dims[1]>fe.dims[1])){if(ge<fe.dims[1])L.input_ids=fe.slice(null,[ge,null]);else if(b.config.image_token_index!=null&&fe.data.some(De=>De==b.config.image_token_index)){const De=b.config.num_image_tokens;if(!De)throw new Error("`num_image_tokens` is missing in the model configuration.");const Ge=fe.dims[1]-(ge-De);L.input_ids=fe.slice(null,[-Ge,null]),L.attention_mask=(0,h.ones)([1,ge+Ge])}}}return L}function He(b,S,L,oe){return L.past_key_values&&(S=S.map(ge=>[ge.at(-1)])),{...L,decoder_input_ids:Z(S)}}function Me(b,...S){return b.config.is_encoder_decoder?He(b,...S):ke(b,...S)}function K(b,S,L,oe){const ge=!!L.past_key_values;return oe.guidance_scale!==null&&oe.guidance_scale>1&&(ge?L.input_ids=(0,h.cat)([L.input_ids,L.input_ids],0):(L.input_ids=(0,h.cat)([L.input_ids,(0,h.full_like)(L.input_ids,BigInt(oe.pad_token_id))],0),L.attention_mask=(0,h.cat)([L.attention_mask,(0,h.full_like)(L.attention_mask,0n)],0))),(ge||!L.pixel_values)&&(L.pixel_values=(0,h.full)([0,0,3,384,384],1)),ge&&(L.images_seq_mask=new h.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),L.images_emb_mask=new h.Tensor("bool",new Array(0).fill(!1),[1,1,0])),L}class j extends o.Callable{constructor(L,oe,ge){super();re(this,"main_input_name","input_ids");re(this,"forward_params",["input_ids","attention_mask"]);this.config=L,this.sessions=oe,this.configs=ge;const fe=x.get(this.constructor),Se=M.get(fe);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,Se){case E.DecoderOnly:this.can_generate=!0,this._forward=ce,this._prepare_inputs_for_generation=ke;break;case E.Seq2Seq:case E.Vision2Seq:case E.Musicgen:this.can_generate=!0,this._forward=J,this._prepare_inputs_for_generation=He;break;case E.EncoderDecoder:this._forward=J;break;case E.ImageTextToText:this.can_generate=!0,this._forward=X,this._prepare_inputs_for_generation=Me;break;case E.AudioTextToText:this.can_generate=!0,this._forward=se,this._prepare_inputs_for_generation=Me;break;case E.Phi3V:this.can_generate=!0,this._prepare_inputs_for_generation=Me;break;case E.MultiModality:this.can_generate=!0,this._prepare_inputs_for_generation=K;break;case E.AutoEncoder:this._forward=ae;break;default:this._forward=ie;break}this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){var oe;const L=[];for(const ge of Object.values(this.sessions))(oe=ge==null?void 0:ge.handler)!=null&&oe.dispose&&L.push(ge.handler.dispose());return await Promise.all(L)}static async from_pretrained(L,{progress_callback:oe=null,config:ge=null,cache_dir:fe=null,local_files_only:Se=!1,revision:De="main",model_file_name:Ge=null,subfolder:Je="onnx",device:lt=null,dtype:yt=null,use_external_data_format:st=null,session_options:Et={}}={}){let at={progress_callback:oe,config:ge,cache_dir:fe,local_files_only:Se,revision:De,model_file_name:Ge,subfolder:Je,device:lt,dtype:yt,use_external_data_format:st,session_options:Et};const vt=x.get(this),ct=M.get(vt);ge=at.config=await s.AutoConfig.from_pretrained(L,at);let xt;if(ct===E.DecoderOnly)xt=await Promise.all([z(L,{model:at.model_file_name??"model"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ct===E.Seq2Seq||ct===E.Vision2Seq)xt=await Promise.all([z(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ct===E.MaskGeneration)xt=await Promise.all([z(L,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},at)]);else if(ct===E.EncoderDecoder)xt=await Promise.all([z(L,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},at)]);else if(ct===E.ImageTextToText){const Lt={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};ge.is_encoder_decoder&&(Lt.model="encoder_model"),xt=await Promise.all([z(L,Lt,at),R(L,{generation_config:"generation_config.json"},at)])}else if(ct===E.AudioTextToText){const Lt={embed_tokens:"embed_tokens",audio_encoder:"audio_encoder",decoder_model_merged:"decoder_model_merged"};xt=await Promise.all([z(L,Lt,at),R(L,{generation_config:"generation_config.json"},at)])}else if(ct===E.Musicgen)xt=await Promise.all([z(L,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ct===E.MultiModality)xt=await Promise.all([z(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ct===E.Phi3V)xt=await Promise.all([z(L,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},at),R(L,{generation_config:"generation_config.json"},at)]);else if(ct===E.AutoEncoder)xt=await Promise.all([z(L,{encoder_model:"encoder_model",decoder_model:"decoder_model"},at)]);else{if(ct!==E.EncoderOnly){const Lt=vt??(ge==null?void 0:ge.model_type);Lt!=="custom"&&console.warn(`Model type for '${Lt}' not found, assuming encoder-only architecture. Please report this at ${c.GITHUB_ISSUE_URL}.`)}xt=await Promise.all([z(L,{model:at.model_file_name??"model"},at)])}return new this(ge,...xt)}async _call(L){return await this.forward(L)}async forward(L){return await this._forward(this,L)}get generation_config(){var L;return((L=this.configs)==null?void 0:L.generation_config)??null}_get_logits_warper(L){const oe=new p.LogitsProcessorList;return L.temperature!==null&&L.temperature!==1&&oe.push(new p.TemperatureLogitsWarper(L.temperature)),L.top_k!==null&&L.top_k!==0&&oe.push(new p.TopKLogitsWarper(L.top_k)),L.top_p!==null&&L.top_p<1&&oe.push(new p.TopPLogitsWarper(L.top_p)),oe}_get_logits_processor(L,oe,ge=null){const fe=new p.LogitsProcessorList;if(L.repetition_penalty!==null&&L.repetition_penalty!==1&&fe.push(new p.RepetitionPenaltyLogitsProcessor(L.repetition_penalty)),L.no_repeat_ngram_size!==null&&L.no_repeat_ngram_size>0&&fe.push(new p.NoRepeatNGramLogitsProcessor(L.no_repeat_ngram_size)),L.bad_words_ids!==null&&fe.push(new p.NoBadWordsLogitsProcessor(L.bad_words_ids,L.eos_token_id)),L.min_length!==null&&L.eos_token_id!==null&&L.min_length>0&&fe.push(new p.MinLengthLogitsProcessor(L.min_length,L.eos_token_id)),L.min_new_tokens!==null&&L.eos_token_id!==null&&L.min_new_tokens>0&&fe.push(new p.MinNewTokensLengthLogitsProcessor(oe,L.min_new_tokens,L.eos_token_id)),L.forced_bos_token_id!==null&&fe.push(new p.ForcedBOSTokenLogitsProcessor(L.forced_bos_token_id)),L.forced_eos_token_id!==null&&fe.push(new p.ForcedEOSTokenLogitsProcessor(L.max_length,L.forced_eos_token_id)),L.begin_suppress_tokens!==null){const Se=oe>1||L.forced_bos_token_id===null?oe:oe+1;fe.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se))}return L.guidance_scale!==null&&L.guidance_scale>1&&fe.push(new p.ClassifierFreeGuidanceLogitsProcessor(L.guidance_scale)),ge!==null&&fe.extend(ge),fe}_prepare_generation_config(L,oe,ge=u.GenerationConfig){const fe={...this.config};for(const De of["decoder","generator","text_config"])De in fe&&Object.assign(fe,fe[De]);const Se=new ge(fe);return Object.assign(Se,this.generation_config??{}),L&&Object.assign(Se,L),oe&&Object.assign(Se,(0,a.pick)(oe,Object.getOwnPropertyNames(Se))),Se}_get_stopping_criteria(L,oe=null){const ge=new P.StoppingCriteriaList;return L.max_length!==null&&ge.push(new P.MaxLengthCriteria(L.max_length,this.config.max_position_embeddings??null)),L.eos_token_id!==null&&ge.push(new P.EosTokenCriteria(L.eos_token_id)),oe&&ge.extend(oe),ge}_validate_model_class(){if(!this.can_generate){const L=[xu,Eu,Tu,vu],oe=x.get(this.constructor),ge=new Set,fe=this.config.model_type;for(const De of L){const Ge=De.get(fe);Ge&&ge.add(Ge[0])}let Se=`The current model class (${oe}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw ge.size>0&&(Se+=` Please use the following class instead: ${[...ge].join(", ")}`),Error(Se)}}prepare_inputs_for_generation(...L){return this._prepare_inputs_for_generation(this,...L)}_update_model_kwargs_for_generation({generated_input_ids:L,outputs:oe,model_inputs:ge,is_encoder_decoder:fe}){return ge.past_key_values=this.getPastKeyValues(oe,ge.past_key_values),ge.input_ids=new h.Tensor("int64",L.flat(),[L.length,1]),fe||(ge.attention_mask=(0,h.cat)([ge.attention_mask,(0,h.ones)([ge.attention_mask.dims[0],1])],1)),ge.position_ids=null,ge}_prepare_model_inputs({inputs:L,bos_token_id:oe,model_kwargs:ge}){const fe=(0,a.pick)(ge,this.forward_params),Se=this.main_input_name;if(Se in fe){if(L)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else fe[Se]=L;return{inputs_tensor:fe[Se],model_inputs:fe,model_input_name:Se}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:L,model_inputs:oe,model_input_name:ge,generation_config:fe}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!oe.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:De,pixel_values:Ge,attention_mask:Je,...lt}=oe,yt=await this._prepare_inputs_embeds(oe);oe={...lt,...(0,a.pick)(yt,["inputs_embeds","attention_mask"])}}let{last_hidden_state:Se}=await ie(this,oe);if(fe.guidance_scale!==null&&fe.guidance_scale>1)Se=(0,h.cat)([Se,(0,h.full_like)(Se,0)],0),"attention_mask"in oe&&(oe.attention_mask=(0,h.cat)([oe.attention_mask,(0,h.zeros_like)(oe.attention_mask)],0));else if(oe.decoder_input_ids){const De=Z(oe.decoder_input_ids).dims[0];if(De!==Se.dims[0]){if(Se.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${Se.dims[0]}) than the decoder inputs (${De}).`);Se=(0,h.cat)(Array.from({length:De},()=>Se),0)}}return oe.encoder_outputs=Se,oe}_prepare_decoder_input_ids_for_generation({batch_size:L,model_input_name:oe,model_kwargs:ge,decoder_start_token_id:fe,bos_token_id:Se,generation_config:De}){let{decoder_input_ids:Ge,...Je}=ge;if(!(Ge instanceof h.Tensor)){if(Ge)Array.isArray(Ge[0])||(Ge=Array.from({length:L},()=>Ge));else if(fe??(fe=Se),this.config.model_type==="musicgen")Ge=Array.from({length:L*this.config.decoder.num_codebooks},()=>[fe]);else if(Array.isArray(fe)){if(fe.length!==L)throw new Error(`\`decoder_start_token_id\` expcted to have length ${L} but got ${fe.length}`);Ge=fe}else Ge=Array.from({length:L},()=>[fe]);Ge=Z(Ge)}return ge.decoder_attention_mask=(0,h.ones_like)(Ge),{input_ids:Ge,model_inputs:Je}}async generate({inputs:L=null,generation_config:oe=null,logits_processor:ge=null,stopping_criteria:fe=null,streamer:Se=null,...De}){this._validate_model_class(),oe=this._prepare_generation_config(oe,De);let{inputs_tensor:Ge,model_inputs:Je,model_input_name:lt}=this._prepare_model_inputs({inputs:L,model_kwargs:De});const yt=this.config.is_encoder_decoder;yt&&("encoder_outputs"in Je||(Je=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Ge,model_inputs:Je,model_input_name:lt,generation_config:oe})));let st;yt?{input_ids:st,model_inputs:Je}=this._prepare_decoder_input_ids_for_generation({batch_size:Je[lt].dims.at(0),model_input_name:lt,model_kwargs:Je,decoder_start_token_id:oe.decoder_start_token_id,bos_token_id:oe.bos_token_id,generation_config:oe}):st=Je[lt];let Et=st.dims.at(-1);oe.max_new_tokens!==null&&(oe.max_length=Et+oe.max_new_tokens);const at=this._get_logits_processor(oe,Et,ge),vt=this._get_stopping_criteria(oe,fe),ct=Je[lt].dims.at(0),xt=A.LogitsSampler.getSampler(oe),Lt=new Array(ct).fill(0),Qt=st.tolist();Se&&Se.put(Qt);let yr,Pt={};for(;;){if(Je=this.prepare_inputs_for_generation(Qt,Je,oe),yr=await this.forward(Je),oe.output_attentions&&oe.return_dict_in_generate){const Cr=this.getAttentions(yr);for(const ks in Cr)ks in Pt||(Pt[ks]=[]),Pt[ks].push(Cr[ks])}const sr=yr.logits.slice(null,-1,null),Wr=at(Qt,sr),dn=[];for(let Cr=0;Cr<Wr.dims.at(0);++Cr){const ks=Wr[Cr],Cu=await xt(ks);for(const[ed,td]of Cu){const rd=BigInt(ed);Lt[Cr]+=td,Qt[Cr].push(rd),dn.push([rd]);break}}if(Se&&Se.put(dn),vt(Qt).every(Cr=>Cr))break;Je=this._update_model_kwargs_for_generation({generated_input_ids:dn,outputs:yr,model_inputs:Je,is_encoder_decoder:yt})}Se&&Se.end();const Nt=this.getPastKeyValues(yr,Je.past_key_values,!0),tr=new h.Tensor("int64",Qt.flat(),[Qt.length,Qt[0].length]);if(oe.return_dict_in_generate)return{sequences:tr,past_key_values:Nt,...Pt};for(const sr of Object.values(yr))sr.location==="gpu-buffer"&&sr.dispose();return tr}getPastKeyValues(L,oe,ge=!1){const fe=Object.create(null);for(const Se in L)if(Se.startsWith("present")){const De=Se.replace("present","past_key_values"),Ge=Se.includes("encoder");if(Ge&&oe?fe[De]=oe[De]:fe[De]=L[Se],oe&&(!Ge||ge)){const Je=oe[De];Je.location==="gpu-buffer"&&Je.dispose()}}return fe}getAttentions(L){const oe={};for(const ge of["cross_attentions","encoder_attentions","decoder_attentions"])for(const fe in L)fe.startsWith(ge)&&(ge in oe||(oe[ge]=[]),oe[ge].push(L[fe]));return oe}addPastKeyValues(L,oe){var ge,fe,Se;if(oe)Object.assign(L,oe);else{const De=this.sessions.decoder_model_merged??this.sessions.model,Ge=((ge=De==null?void 0:De.config)==null?void 0:ge.kv_cache_dtype)??"float32",Je=Ge==="float16"?new h.DataTypeMap.float16:[],lt=((Se=(fe=L[this.main_input_name]??L.attention_mask)==null?void 0:fe.dims)==null?void 0:Se[0])??1,yt=(0,s.getKeyValueShapes)(this.config,{batch_size:lt});for(const st in yt)L[st]=new h.Tensor(Ge,Je,yt[st])}}async encode_image({pixel_values:L}){const oe=(await q(this.sessions.vision_encoder,{pixel_values:L})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${oe.dims[1]}).`),this.config.num_image_tokens=oe.dims[1]),oe}async encode_text({input_ids:L}){return(await q(this.sessions.embed_tokens,{input_ids:L})).inputs_embeds}async encode_audio({audio_values:L}){return(await q(this.sessions.audio_encoder,{audio_values:L})).audio_features}}class me{}class Pe extends me{constructor({last_hidden_state:S,hidden_states:L=null,attentions:oe=null}){super(),this.last_hidden_state=S,this.hidden_states=L,this.attentions=oe}}class xe extends j{}class Ae extends xe{}class Ie extends xe{async _call(S){return new wr(await super._call(S))}}class Le extends xe{async _call(S){return new bt(await super._call(S))}}class Ne extends xe{async _call(S){return new pr(await super._call(S))}}class We extends xe{async _call(S){return new Pr(await super._call(S))}}class D extends j{}class ee extends D{}class B extends D{async _call(S){return new wr(await super._call(S))}}class te extends D{async _call(S){return new bt(await super._call(S))}}class de extends D{async _call(S){return new pr(await super._call(S))}}class be extends j{}class ve extends be{}class Re extends j{}class Fe extends Re{}class je extends Re{async _call(S){return new wr(await super._call(S))}}class qe extends Re{async _call(S){return new bt(await super._call(S))}}class Xe extends Re{async _call(S){return new pr(await super._call(S))}}class ut extends Re{async _call(S){return new Pr(await super._call(S))}}class wt extends j{}class nr extends wt{}class jt extends wt{async _call(S){return new wr(await super._call(S))}}class dr extends wt{async _call(S){return new bt(await super._call(S))}}class ds extends wt{async _call(S){return new pr(await super._call(S))}}class Os extends wt{async _call(S){return new Pr(await super._call(S))}}class Dr extends j{}class cs extends Dr{}class Ds extends Dr{async _call(S){return new wr(await super._call(S))}}class jr extends Dr{async _call(S){return new bt(await super._call(S))}}class dt extends Dr{async _call(S){return new pr(await super._call(S))}}class qr extends Dr{async _call(S){return new Pr(await super._call(S))}}class Vr extends j{}class us extends Vr{}class Ts extends Vr{async _call(S){return new wr(await super._call(S))}}class xs extends Vr{async _call(S){return new bt(await super._call(S))}}class Es extends Vr{async _call(S){return new pr(await super._call(S))}}class Ls extends Vr{async _call(S){return new Pr(await super._call(S))}}class mr extends j{}class Be extends mr{}class et extends mr{async _call(S){return new wr(await super._call(S))}}class it extends mr{async _call(S){return new bt(await super._call(S))}}class rr extends mr{async _call(S){return new pr(await super._call(S))}}class zt extends mr{async _call(S){return new Pr(await super._call(S))}}class kr extends j{}class ps extends kr{}class hs extends kr{async _call(S){return new wr(await super._call(S))}}class Er extends kr{async _call(S){return new bt(await super._call(S))}}class ms extends kr{async _call(S){return new pr(await super._call(S))}}class fs extends kr{async _call(S){return new Pr(await super._call(S))}}class Qr extends j{}class Ps extends Qr{}class Qs extends Qr{async _call(S){return new bt(await super._call(S))}}class Xs extends Qr{async _call(S){return new pr(await super._call(S))}}class Js extends Qr{async _call(S){return new Pr(await super._call(S))}}class Ys extends Qr{async _call(S){return new wr(await super._call(S))}}class _s extends j{}class Zs extends _s{}class en extends _s{async _call(S){return new wr(await super._call(S))}}class tn extends _s{async _call(S){return new bt(await super._call(S))}}class Lr extends _s{async _call(S){return new pr(await super._call(S))}}class Cs extends j{}class br extends Cs{}class zs extends Cs{async _call(S){return new wr(await super._call(S))}}class Bs extends Cs{async _call(S){return new bt(await super._call(S))}}class Ir extends Cs{async _call(S){return new Pr(await super._call(S))}}class Xr extends j{}class xn extends Xr{}class zr extends Xr{async _call(S){return new wr(await super._call(S))}}class En extends Xr{async _call(S){return new bt(await super._call(S))}}class Rs extends Xr{async _call(S){return new pr(await super._call(S))}}class Ar extends Xr{async _call(S){return new Pr(await super._call(S))}}class Jr extends j{}class cr extends Jr{}class fr extends Jr{async _call(S){return new wr(await super._call(S))}}class Ns extends Jr{async _call(S){return new bt(await super._call(S))}}class Pn extends Jr{async _call(S){return new Pr(await super._call(S))}}class Ss extends j{}class Cn extends Ss{}class pe extends Ss{async _call(S){return new bt(await super._call(S))}}class F extends Ss{async _call(S){return new Pr(await super._call(S))}}class V extends Ss{async _call(S){return new wr(await super._call(S))}}class Y extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class le extends Y{}class ue extends Y{}class Ce extends j{}class Ue extends Ce{}class Qe extends Ce{}class Ke extends j{}class Ze extends Ke{}class ht extends Ke{}class Ct extends j{}class kt extends Ct{}class Wt extends Ct{}class Ot extends Ct{async _call(S){return new bt(await super._call(S))}}class Vt extends j{}class vr extends Vt{}class _r extends Vt{}class Yr extends Vt{async _call(S){return new bt(await super._call(S))}}class Tr extends Vt{}class gs extends j{}class Gt extends gs{}class Zt extends gs{}class gr extends j{}class Zr extends gr{}class ws extends gr{}class Ht extends j{}class ur extends Ht{}class Rt extends Ht{async _call(S){return new wr(await super._call(S))}}class Jt extends Ht{async _call(S){return new bt(await super._call(S))}}class qt extends Ht{async _call(S){return new pr(await super._call(S))}}class er extends Ht{async _call(S){return new Pr(await super._call(S))}}class ir extends j{}class rn extends ir{}class sn extends ir{async _call(S){return new wr(await super._call(S))}}class za extends ir{async _call(S){return new bt(await super._call(S))}}class Wi extends ir{async _call(S){return new pr(await super._call(S))}}class Ba extends ir{async _call(S){return new Pr(await super._call(S))}}class ys extends j{}class Ra extends ys{}class Na extends ys{async _call(S){return new wr(await super._call(S))}}class Sn extends ys{async _call(S){return new bt(await super._call(S))}}class ja extends ys{async _call(S){return new pr(await super._call(S))}}class Gi extends ys{async _call(S){return new Pr(await super._call(S))}}class Ki extends j{}class Va extends Ki{}class Ua extends Ki{}class Gn extends j{constructor(){super(...arguments);re(this,"requires_attention_mask",!1);re(this,"main_input_name","input_features");re(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class Wa extends Gn{}class Hi extends Gn{_prepare_generation_config(S,L){return super._prepare_generation_config(S,L,y.WhisperGenerationConfig)}_retrieve_init_tokens(S){const L=[S.decoder_start_token_id];let oe=S.language;const ge=S.task;if(S.is_multilingual){oe||(console.warn("No language specified - defaulting to English (en)."),oe="en");const Se=`<|${(0,k.whisper_language_to_code)(oe)}|>`;L.push(S.lang_to_id[Se]),L.push(S.task_to_id[ge??"transcribe"])}else if(oe||ge)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!S.return_timestamps&&S.no_timestamps_token_id&&L.at(-1)!==S.no_timestamps_token_id?L.push(S.no_timestamps_token_id):S.return_timestamps&&L.at(-1)===S.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),L.pop()),L.filter(fe=>fe!=null)}async generate({inputs:S=null,generation_config:L=null,logits_processor:oe=null,stopping_criteria:ge=null,...fe}){L=this._prepare_generation_config(L,fe);const Se=fe.decoder_input_ids??this._retrieve_init_tokens(L);if(L.return_timestamps&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.WhisperTimeStampLogitsProcessor(L,Se))),L.begin_suppress_tokens&&(oe??(oe=new p.LogitsProcessorList),oe.push(new p.SuppressTokensAtBeginLogitsProcessor(L.begin_suppress_tokens,Se.length))),L.return_token_timestamps){if(!L.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");L.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),L.output_attentions=!0,L.return_dict_in_generate=!0}const De=await super.generate({inputs:S,generation_config:L,logits_processor:oe,decoder_input_ids:Se,...fe});return L.return_token_timestamps&&(De.token_timestamps=this._extract_token_timestamps(De,L.alignment_heads,L.num_frames)),De}_extract_token_timestamps(S,L,oe=null,ge=.02){if(!S.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");oe==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let fe=this.config.median_filter_width;fe===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),fe=7);const Se=S.cross_attentions,De=Array.from({length:this.config.decoder_layers},(vt,ct)=>(0,h.cat)(Se.map(xt=>xt[ct]),2)),Ge=(0,h.stack)(L.map(([vt,ct])=>{if(vt>=De.length)throw new Error(`Layer index ${vt} is out of bounds for cross attentions (length ${De.length}).`);return oe?De[vt].slice(null,ct,null,[0,oe]):De[vt].slice(null,ct)})).transpose(1,0,2,3),[Je,lt]=(0,h.std_mean)(Ge,-2,0,!0),yt=Ge.clone();for(let vt=0;vt<yt.dims[0];++vt){const ct=yt[vt];for(let xt=0;xt<ct.dims[0];++xt){const Lt=ct[xt],Qt=Je[vt][xt][0].data,yr=lt[vt][xt][0].data;for(let Pt=0;Pt<Lt.dims[0];++Pt){let Nt=Lt[Pt].data;for(let tr=0;tr<Nt.length;++tr)Nt[tr]=(Nt[tr]-yr[tr])/Qt[tr];Nt.set((0,_.medianFilter)(Nt,fe))}}}const st=[(0,h.mean)(yt,1)],Et=S.sequences.dims,at=new h.Tensor("float32",new Float32Array(Et[0]*Et[1]),Et);for(let vt=0;vt<Et[0];++vt){const ct=st[vt].neg().squeeze_(0),[xt,Lt]=(0,_.dynamic_time_warping)(ct.tolist()),Qt=Array.from({length:xt.length-1},(Nt,tr)=>xt[tr+1]-xt[tr]),yr=(0,a.mergeArrays)([1],Qt).map(Nt=>!!Nt),Pt=[];for(let Nt=0;Nt<yr.length;++Nt)yr[Nt]&&Pt.push(Lt[Nt]*ge);at[vt].data.set(Pt,1)}return at}}class Ga extends Hi{}class qi extends j{constructor(){super(...arguments);re(this,"requires_attention_mask",!1);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values","decoder_input_ids","past_key_values"])}}class Jc extends qi{}class Ka extends qi{}class Qi extends j{constructor(){super(...arguments);re(this,"main_input_name","pixel_values");re(this,"forward_params",["pixel_values","decoder_input_ids","encoder_hidden_states","past_key_values"])}}class Ha extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}}class Kn extends Ha{_merge_input_ids_with_image_features({inputs_embeds:S,image_features:L,input_ids:oe,attention_mask:ge}){const fe=this.config.image_token_index,De=oe.tolist().map(st=>st.findIndex(Et=>Et==fe)),Ge=De.every(st=>st===-1),Je=De.every(st=>st!==-1);if(!Ge&&!Je)throw new Error("Every input should contain either 0 or 1 image token.");if(Ge)return{inputs_embeds:S,attention_mask:ge};const lt=[],yt=[];for(let st=0;st<De.length;++st){const Et=De[st],at=S[st],vt=L[st],ct=ge[st];lt.push((0,h.cat)([at.slice([0,Et]),vt,at.slice([Et+1,at.dims[0]])],0)),yt.push((0,h.cat)([ct.slice([0,Et]),(0,h.ones)([vt.dims[0]]),ct.slice([Et+1,ct.dims[0]])],0))}return{inputs_embeds:(0,h.stack)(lt,0),attention_mask:(0,h.stack)(yt,0)}}}class qa extends Kn{}class Qa extends Kn{}class Xa extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"]);re(this,"main_input_name","inputs_embeds")}}class Xi extends Xa{_merge_input_ids_with_image_features({inputs_embeds:S,image_features:L,input_ids:oe,attention_mask:ge}){return{inputs_embeds:(0,h.cat)([L,S],1),attention_mask:(0,h.cat)([(0,h.ones)(L.dims.slice(0,2)),ge],1)}}async _prepare_inputs_embeds({input_ids:S,pixel_values:L,inputs_embeds:oe,attention_mask:ge}){if(!S&&!L)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let fe,Se;return S&&(fe=await this.encode_text({input_ids:S})),L&&(Se=await this.encode_image({pixel_values:L})),fe&&Se?{inputs_embeds:oe,attention_mask:ge}=this._merge_input_ids_with_image_features({inputs_embeds:fe,image_features:Se,input_ids:S,attention_mask:ge}):oe=fe||Se,{inputs_embeds:oe,attention_mask:ge}}async forward({input_ids:S,pixel_values:L,attention_mask:oe,decoder_input_ids:ge,decoder_attention_mask:fe,encoder_outputs:Se,past_key_values:De,inputs_embeds:Ge,decoder_inputs_embeds:Je}){if(Ge||({inputs_embeds:Ge,attention_mask:oe}=await this._prepare_inputs_embeds({input_ids:S,pixel_values:L,inputs_embeds:Ge,attention_mask:oe})),!Se){let{last_hidden_state:st}=await ie(this,{inputs_embeds:Ge,attention_mask:oe});Se=st}if(!Je){if(!ge)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");Je=await this.encode_text({input_ids:ge})}return await ce(this,{inputs_embeds:Je,attention_mask:fe,encoder_attention_mask:oe,encoder_hidden_states:Se,past_key_values:De},!0)}}class Ji extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}}class Yi extends Ji{_merge_input_ids_with_image_features(S){const L=S.image_features.dims.at(-1),oe=S.image_features.view(-1,L);return N({image_token_id:this.config.image_token_index,...S,image_features:oe})}}class Ja extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"])}}class Hn extends Ja{async encode_image({pixel_values:S,pixel_attention_mask:L}){return(await q(this.sessions.vision_encoder,{pixel_values:S,pixel_attention_mask:L})).image_features}_merge_input_ids_with_image_features(S){const L=S.image_features.dims.at(-1),oe=S.image_features.view(-1,L);return N({image_token_id:this.config.image_token_id,...S,image_features:oe})}}class qn extends Hn{}class Zi extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"])}}class js extends Zi{async forward({input_ids:S=null,attention_mask:L=null,pixel_values:oe=null,image_sizes:ge=null,position_ids:fe=null,inputs_embeds:Se=null,past_key_values:De=null,generation_config:Ge=null,logits_processor:Je=null,...lt}){if(!Se){let st;if(oe&&S.dims[1]!==1){if(!ge)throw new Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:st}=await q(this.sessions.vision_encoder,{pixel_values:oe,image_sizes:ge}))}else{const Et=this.config.normalized_config.hidden_size;st=new h.Tensor("float32",[],[0,Et])}({inputs_embeds:Se}=await q(this.sessions.prepare_inputs_embeds,{input_ids:S,image_features:st}))}return await ce(this,{inputs_embeds:Se,past_key_values:De,attention_mask:L,position_ids:fe,generation_config:Ge,logits_processor:Je},!1)}}class Vs extends j{}class eo extends Vs{}class Yc extends Vs{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class Ya extends Vs{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class Zc extends Vs{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class Qn extends Vs{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class Xn extends j{}class Za extends Xn{}class el extends Xn{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class tl extends Vs{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class rl extends j{}class sl extends rl{}class Jn extends j{}class nl extends Jn{async forward(S){const L=!S.input_ids,oe=!S.pixel_values;if(L&&oe)throw new Error("Either `input_ids` or `pixel_values` should be provided.");if(L&&(S.input_ids=(0,h.ones)([S.pixel_values.dims[0],1])),oe){const{image_size:Je}=this.config.vision_config;S.pixel_values=(0,h.full)([0,3,Je,Je],0)}const{text_embeddings:ge,image_embeddings:fe,l2norm_text_embeddings:Se,l2norm_image_embeddings:De}=await super.forward(S),Ge={};return L||(Ge.text_embeddings=ge,Ge.l2norm_text_embeddings=Se),oe||(Ge.image_embeddings=fe,Ge.l2norm_image_embeddings=De),Ge}}class il extends Jn{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class ol extends Jn{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"vision_model"})}}class nn extends j{}class on extends nn{}class to extends nn{}class ro extends j{}class al extends ro{}class Yn extends ro{}class $n extends j{}class so extends $n{}class no extends $n{}class Zn extends j{}class io extends Zn{}class oo extends Zn{}class ei extends j{}class ll extends ei{}class ao extends ei{}class lo extends j{}class co extends lo{}class kn extends lo{}class Oe extends j{}class dl extends Oe{}class uo extends Oe{}class ti extends j{}class In extends ti{}class Ur extends ti{}class an extends j{}class ri extends an{}class po extends an{}class si extends j{}class ho extends si{}class ni extends si{}class ii extends j{}class mo extends ii{}class gt extends ii{}class Us extends j{}class fo extends Us{}class mt extends Us{}class An extends j{}class ft extends An{}class _o extends An{}class oi extends j{}class go extends oi{}class wo extends oi{}class ai extends j{}class yo extends ai{}class li extends ai{}class di extends j{}class Mo extends di{}class bo extends di{}class ci extends j{}class vo extends ci{}class To extends ci{}class ui extends j{}class xo extends ui{}class Eo extends ui{}class pi extends j{}class Po extends pi{}class Co extends pi{}class hi extends j{}class So extends hi{}class $o extends hi{}class mi extends j{}class ko extends mi{}class Io extends mi{}class fi extends j{}class Ao extends fi{}class Fo extends fi{}class Oo extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"])}}class Do extends Oo{get_rope_index(S,L,oe,ge){const{vision_config:fe,image_token_id:Se,video_token_id:De,vision_start_token_id:Ge}=this.config,Je=fe.spatial_merge_size??2,lt=[];if(L||oe){let yt=S.tolist();ge||(ge=(0,h.ones_like)(S));const st=ge.tolist(),Et=Array.from({length:3},Lt=>Array.from({length:S.dims[0]},Qt=>Array.from({length:S.dims[1]},yr=>1))),at=L?L.tolist():[],vt=oe?oe.tolist():[];let ct=0,xt=0;for(let Lt=0;Lt<yt.length;++Lt){const Qt=yt[Lt].filter((Kt,or)=>st[Lt][or]==1),Pt=Qt.reduce((Kt,or,cn)=>(or==Ge&&Kt.push(cn),Kt),[]).map(Kt=>Qt[Kt+1]),Nt=Pt.filter(Kt=>Kt==Se).length,tr=Pt.filter(Kt=>Kt==De).length;let sr=[],Wr=0,dn=Nt,Zl=tr;for(let Kt=0;Kt<Pt.length;++Kt){const or=Qt.findIndex((Dn,Ms)=>Ms>Wr&&Dn==Se),cn=Qt.findIndex((Dn,Ms)=>Ms>Wr&&Dn==De),On=dn>0&&or!==-1?or:Qt.length+1,Ci=Zl>0&&cn!==-1?cn:Qt.length+1;let sd,Su,$u,ku;On<Ci?([Su,$u,ku]=at[ct],++ct,--dn,sd=On):([Su,$u,ku]=vt[xt],++xt,--Zl,sd=Ci);const[LT,Iu,nd]=[Number(Su),Math.floor(Number($u)/Je),Math.floor(Number(ku)/Je)],Au=sd-Wr,xb=sr.length>0?(0,_.max)(sr.at(-1))[0]+1:0;sr.push(Array.from({length:3*Au},(Dn,Ms)=>xb+Ms%Au));const Fu=Au+xb,id=LT*Iu*nd,zT=Array.from({length:id},(Dn,Ms)=>Fu+Math.floor(Ms/(Iu*nd))),BT=Array.from({length:id},(Dn,Ms)=>Fu+Math.floor(Ms/nd)%Iu),RT=Array.from({length:id},(Dn,Ms)=>Fu+Ms%nd);sr.push([zT,BT,RT].flat()),Wr=sd+id}if(Wr<Qt.length){const Kt=sr.length>0?(0,_.max)(sr.at(-1))[0]+1:0,or=Qt.length-Wr;sr.push(Array.from({length:3*or},(cn,On)=>Kt+On%or))}const Cr=sr.reduce((Kt,or)=>Kt+or.length,0),ks=new Array(Cr);let Cu=0;for(let Kt=0;Kt<3;++Kt)for(let or=0;or<sr.length;++or){const cn=sr[or],On=cn.length/3;for(let Ci=Kt*On;Ci<(Kt+1)*On;++Ci)ks[Cu++]=cn[Ci]}let ed=0;const td=st[Lt];for(let Kt=0;Kt<td.length;++Kt)if(td[Kt]==1){for(let or=0;or<3;++or)Et[or][Lt][Kt]=ks[or*Cr/3+ed];++ed}const rd=(0,_.max)(ks)[0];lt.push(rd+1-yt[Lt].length)}return[new h.Tensor("int64",Et.flat(1/0),[3,S.dims[0],S.dims[1]]),new h.Tensor("int64",lt,[lt.length,1])]}else if(ge){const{data:yt,dims:st}=we(ge),Et=BigInt64Array.from({length:3*yt.length},(vt,ct)=>yt[ct%yt.length]),at=Array.from({length:st[0]},(vt,ct)=>(0,_.max)(yt.subarray(st[1]*ct,st[1]*(ct+1)))[0]+1n+BigInt(st[1]));return[new h.Tensor("int64",Et,[3,...st]),new h.Tensor("int64",at,[at.length,1])]}else{const[yt,st]=S.dims,Et=BigInt64Array.from({length:3*yt*st},(at,vt)=>BigInt(Math.floor(vt%st/yt)));return[new h.Tensor("int64",Et,[3,...S.dims]),(0,h.zeros)([yt,1])]}}async encode_image({pixel_values:S,image_grid_thw:L}){return(await q(this.sessions.vision_encoder,{pixel_values:S,grid_thw:L})).image_features}_merge_input_ids_with_image_features(S){return N({image_token_id:this.config.image_token_id,...S})}prepare_inputs_for_generation(S,L,oe){if(L.attention_mask&&!L.position_ids)if(!L.past_key_values)[L.position_ids,L.rope_deltas]=this.get_rope_index(L.input_ids,L.image_grid_thw,L.video_grid_thw,L.attention_mask);else{L.pixel_values=null;const ge=BigInt(Object.values(L.past_key_values)[0].dims.at(-2)),fe=L.rope_deltas.map(Se=>ge+Se);L.position_ids=(0,h.stack)([fe,fe,fe],0)}return L}}class _i extends j{}class Lo extends _i{}class zo extends _i{}class gi extends j{}class Bo extends gi{}class Ro extends gi{}class wi extends j{}class No extends wi{}class jo extends wi{}class yi extends j{}class Vo extends yi{}class Uo extends yi{}class Mi extends j{}class Wo extends Mi{}class Go extends Mi{}class bi extends j{}class Ko extends bi{}class Ho extends bi{async _call(S){return new bt(await super._call(S))}}class vi extends j{}class qo extends vi{}class Qo extends vi{async _call(S){return new bt(await super._call(S))}}class Xo extends j{}class Jo extends Xo{}class Yo extends j{}class cl extends Yo{}class ul extends Yo{async _call(S){return new bt(await super._call(S))}}class pl extends j{}class hl extends pl{}class Zo extends j{}class ml extends Zo{}class fl extends Zo{async _call(S){return new bt(await super._call(S))}}class _l extends j{}class gl extends _l{}class ea extends j{}class wl extends ea{}class yl extends ea{async _call(S){return new bt(await super._call(S))}}class Ml extends j{}class bl extends Ml{async _call(S){return new vb(await super._call(S))}}class ta extends j{}class vl extends ta{}class Tl extends ta{async _call(S){return new bt(await super._call(S))}}class ra extends j{}class xl extends ra{}class El extends ra{async _call(S){return new bt(await super._call(S))}}class sa extends j{}class Pl extends sa{}class Cl extends sa{}class na extends j{}class Sl extends na{}class $l extends na{}class ia extends j{}class kl extends ia{}class Il extends ia{async _call(S){return new bt(await super._call(S))}}class Ti extends j{}class Al extends Ti{}class Fl extends Ti{async _call(S){return new aa(await super._call(S))}}class oa extends Ti{async _call(S){return new Ol(await super._call(S))}}class aa extends me{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class Ol extends me{constructor({logits:S,pred_boxes:L,pred_masks:oe}){super(),this.logits=S,this.pred_boxes=L,this.pred_masks=oe}}class la extends j{}class Dl extends la{}class Ll extends la{async _call(S){return new xi(await super._call(S))}}class xi extends me{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class da extends j{}class zl extends da{}class Bl extends da{async _call(S){return new Rl(await super._call(S))}}class Rl extends xi{}class ca extends j{}class ua extends ca{}class d extends ca{async _call(S){return new m(await super._call(S))}}class m extends xi{}class T extends j{}class C extends T{}class I extends T{async _call(S){return new W(await super._call(S))}}class W extends aa{}class ne extends j{}class ye extends ne{}class Ee extends ne{async _call(S){return new bt(await super._call(S))}}class ze extends j{}class Ye extends ze{}class ot extends ze{async _call(S){return new bt(await super._call(S))}}class _t extends j{}class Bt extends _t{}class Fr extends _t{async _call(S){return new bt(await super._call(S))}}class $s extends j{}class Xw extends $s{}class Jw extends $s{async _call(S){return new bt(await super._call(S))}}class Yw extends $s{}class eu extends j{}class Zw extends eu{}class ey extends eu{}class tu extends j{}class ty extends tu{}class ry extends tu{}class sy extends j{}class ny extends sy{}class Nl extends j{}class iy extends Nl{}class oy extends Nl{}class ay extends Nl{}class ly extends j{}class dy extends ly{}class cy extends j{}class uy extends cy{}class py extends j{}class hy extends py{}class ru extends j{}class my extends ru{}class fy extends ru{}class su extends j{}class _y extends su{}class gy extends su{}class wy extends j{}class yy extends wy{}class nu extends j{}class My extends nu{}class by extends nu{async _call(S){return new bt(await super._call(S))}}class iu extends j{}class vy extends iu{}class Ty extends iu{async _call(S){return new bt(await super._call(S))}}class ou extends j{}class xy extends ou{}class Ey extends ou{async _call(S){return new bt(await super._call(S))}}class au extends j{}class Py extends au{}class Cy extends au{async _call(S){return new bt(await super._call(S))}}class Sy extends j{}class $y extends Sy{}class lu extends j{}class ky extends lu{}class Iy extends lu{async _call(S){return new Ay(await super._call(S))}}class Ay extends me{constructor({logits:S,pred_boxes:L}){super(),this.logits=S,this.pred_boxes=L}}class Fy extends j{}class Oy extends Fy{async get_image_embeddings({pixel_values:S}){return await ie(this,{pixel_values:S})}async forward(S){if((!S.image_embeddings||!S.image_positional_embeddings)&&(S={...S,...await this.get_image_embeddings(S)}),!S.input_labels&&S.input_points){const oe=S.input_points.dims.slice(0,-1),ge=oe.reduce((fe,Se)=>fe*Se,1);S.input_labels=new h.Tensor("int64",new BigInt64Array(ge).fill(1n),oe)}const L={image_embeddings:S.image_embeddings,image_positional_embeddings:S.image_positional_embeddings};return S.input_points&&(L.input_points=S.input_points),S.input_labels&&(L.input_labels=S.input_labels),S.input_boxes&&(L.input_boxes=S.input_boxes),await q(this.sessions.prompt_encoder_mask_decoder,L)}async _call(S){return new Dy(await super._call(S))}}class Dy extends me{constructor({iou_scores:S,pred_masks:L}){super(),this.iou_scores=S,this.pred_masks=L}}class du extends j{}class Ly extends du{}class zy extends du{}class cu extends j{}class By extends cu{}class Ry extends cu{}class ln extends j{}class Ny extends ln{}class jy extends ln{async _call(S){return new Fn(await super._call(S))}}class Vy extends ln{async _call(S){return new bt(await super._call(S))}}class Uy extends ln{async _call(S){return new pr(await super._call(S))}}class uu extends j{}class Wy extends uu{}class Gy extends uu{async _call(S){return new pr(await super._call(S))}}class Ky extends j{}class Hy extends Ky{}class jl extends j{}class qy extends jl{}class Qy extends jl{async _call(S){return new Fn(await super._call(S))}}class Xy extends jl{async _call(S){return new bt(await super._call(S))}}class pa extends j{}class Jy extends pa{}class Yy extends pa{async _call(S){return new Fn(await super._call(S))}}class Zy extends pa{async _call(S){return new bt(await super._call(S))}}class eM extends pa{async _call(S){return new pr(await super._call(S))}}class Vl extends j{}class tM extends Vl{}class rM extends Vl{async _call(S){return new Fn(await super._call(S))}}class sM extends Vl{async _call(S){return new bt(await super._call(S))}}class bT extends j{}class nM extends ln{}class iM extends ln{async _call(S){return new Fn(await super._call(S))}}class oM extends ln{async _call(S){return new bt(await super._call(S))}}class Ei extends j{}class aM extends Ei{}class lM extends Ei{async _call(S){return new Fn(await super._call(S))}}class dM extends Ei{async _call(S){return new bt(await super._call(S))}}class cM extends Ei{async _call(S){return new bb(await super._call(S))}}class uM extends Ei{async _call(S){return new pr(await super._call(S))}}class pM extends j{}class hM extends pM{}class Ul extends j{}class vT extends Ul{}class mM extends Ul{}class fM extends Ul{async generate_speech(S,L,{threshold:oe=.5,minlenratio:ge=0,maxlenratio:fe=20,vocoder:Se=null}={}){const De={input_ids:S},{encoder_outputs:Ge,encoder_attention_mask:Je}=await ie(this,De),lt=Ge.dims[1]/this.config.reduction_factor,yt=Math.floor(lt*fe),st=Math.floor(lt*ge),Et=this.config.num_mel_bins;let at=[],vt=null,ct=null,xt=0;for(;;){++xt;const yr=H(!!ct);let Pt;ct?Pt=ct.output_sequence_out:Pt=new h.Tensor("float32",new Float32Array(Et),[1,1,Et]);let Nt={use_cache_branch:yr,output_sequence:Pt,encoder_attention_mask:Je,speaker_embeddings:L,encoder_hidden_states:Ge};this.addPastKeyValues(Nt,vt),ct=await q(this.sessions.decoder_model_merged,Nt),vt=this.getPastKeyValues(ct,vt);const{prob:tr,spectrum:sr}=ct;if(at.push(sr),xt>=st&&(Array.from(tr.data).filter(Wr=>Wr>=oe).length>0||xt>=yt))break}const Lt=(0,h.cat)(at),{waveform:Qt}=await q(Se.sessions.model,{spectrogram:Lt});return{spectrogram:Lt,waveform:Qt}}}class _M extends j{constructor(){super(...arguments);re(this,"main_input_name","spectrogram")}}class gM extends j{}class wM extends gM{}class pu extends j{}class yM extends pu{}class MM extends pu{}class hu extends j{}class bM extends hu{}class vM extends hu{}class mu extends j{}class TM extends mu{}class xM extends mu{}class Wl extends j{}class EM extends Wl{}class PM extends Wl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"text_model"})}}class CM extends Wl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"audio_model"})}}class SM extends j{}class fu extends SM{async _call(S){return new Tb(await super._call(S))}}class Gl extends j{}class TT extends Gl{}class $M extends Gl{}class kM extends Gl{}class _u extends j{}class IM extends _u{}class AM extends _u{}class gu extends j{}class FM extends gu{}class OM extends gu{async _call(S){return new bt(await super._call(S))}}class wu extends j{}class xT extends wu{}class ET extends wu{}class yu extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}_apply_and_filter_by_delay_pattern_mask(L){const[oe,ge]=L.dims,fe=this.config.decoder.num_codebooks,Se=ge-fe;let De=0;for(let lt=0;lt<L.size;++lt){if(L.data[lt]===this.config.decoder.pad_token_id)continue;const yt=lt%ge,st=Math.floor(lt/ge)%fe,Et=yt-st;Et>0&&Et<=Se&&(L.data[De++]=L.data[lt])}const Ge=Math.floor(oe/fe),Je=De/(Ge*fe);return new h.Tensor(L.type,L.data.slice(0,De),[Ge,fe,Je])}prepare_inputs_for_generation(L,oe,ge){let fe=structuredClone(L);for(let De=0;De<fe.length;++De)for(let Ge=0;Ge<fe[De].length;++Ge)De%this.config.decoder.num_codebooks>=Ge&&(fe[De][Ge]=BigInt(this.config.decoder.pad_token_id));return ge.guidance_scale!==null&&ge.guidance_scale>1&&(fe=fe.concat(fe)),super.prepare_inputs_for_generation(fe,oe,ge)}async generate(L){const oe=await super.generate(L),ge=this._apply_and_filter_by_delay_pattern_mask(oe).unsqueeze_(0),{audio_values:fe}=await q(this.sessions.encodec_decode,{audio_codes:ge});return fe}}class Kl extends j{}class DM extends Kl{}class LM extends Kl{async _call(S){return new bt(await super._call(S))}}class zM extends Kl{}class Hl extends j{}class BM extends Hl{}class RM extends Hl{async _call(S){return new bt(await super._call(S))}}class NM extends Hl{}class ql extends j{}class jM extends ql{}class VM extends ql{async _call(S){return new bt(await super._call(S))}}class UM extends ql{}class Ql extends j{}class WM extends Ql{}class GM extends Ql{async _call(S){return new bt(await super._call(S))}}class KM extends Ql{}class HM extends j{}class qM extends HM{}class QM extends j{}class XM extends QM{constructor(...L){super(...L);re(this,"forward_params",["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"]);this._generation_mode="text"}async forward(L){const oe=this._generation_mode??"text";let ge;if(oe==="text"||!L.past_key_values){const Je=this.sessions.prepare_inputs_embeds,lt=(0,a.pick)(L,Je.inputNames);ge=await q(Je,lt)}else{const Je=this.sessions.gen_img_embeds,lt=(0,a.pick)({image_ids:L.input_ids},Je.inputNames);ge=await q(Je,lt)}const fe={...L,...ge},Se=await ce(this,fe),De=this.sessions[oe==="text"?"lm_head":"gen_head"];if(!De)throw new Error(`Unable to find "${De}" generation head`);const Ge=await q(De,(0,a.pick)(Se,De.inputNames));return{...ge,...Se,...Ge}}async generate(L){return this._generation_mode="text",super.generate(L)}async generate_images(L){this._generation_mode="image";const oe=(L.inputs??L[this.main_input_name]).dims[1],fe=(await super.generate(L)).slice(null,[oe,null]),Se=this.sessions.image_decode,{decoded_image:De}=await q(Se,{generated_tokens:fe}),Ge=De.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),Je=[];for(const lt of Ge){const yt=g.RawImage.fromTensor(lt);Je.push(yt)}return Je}}class JM extends me{constructor({char_logits:S,bpe_logits:L,wp_logits:oe}){super(),this.char_logits=S,this.bpe_logits=L,this.wp_logits=oe}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class YM extends j{}class ZM extends YM{async _call(S){return new JM(await super._call(S))}}class Mu extends j{}class e0 extends Mu{}class t0 extends Mu{}class bu extends j{}class r0 extends bu{}class s0 extends bu{}class n0 extends j{constructor(){super(...arguments);re(this,"forward_params",["input_ids","attention_mask","position_ids","audio_values","past_key_values"])}}class i0 extends n0{_merge_input_ids_with_audio_features(S){const L=S.audio_features.dims.at(-1),oe=S.audio_features.view(-1,L);return O({audio_token_id:this.config.ignore_index,...S,audio_features:oe})}}class Xl extends j{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class o0 extends me{constructor({audio_codes:S}){super(),this.audio_codes=S}}class a0 extends me{constructor({audio_values:S}){super(),this.audio_values=S}}class l0 extends Xl{async encode(S){return new o0(await q(this.sessions.encoder_model,S))}async decode(S){return new a0(await q(this.sessions.decoder_model,S))}}class d0 extends Xl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class c0 extends Xl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Jl extends j{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class u0 extends me{constructor({audio_codes:S}){super(),this.audio_codes=S}}class p0 extends me{constructor({audio_values:S}){super(),this.audio_values=S}}class h0 extends Jl{async encode(S){return new u0(await q(this.sessions.encoder_model,S))}async decode(S){return new p0(await q(this.sessions.decoder_model,S))}}class m0 extends Jl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class f0 extends Jl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class Yl extends j{constructor(){super(...arguments);re(this,"main_input_name","input_values");re(this,"forward_params",["input_values"])}}class _0 extends Yl{async encode(S){return await q(this.sessions.encoder_model,S)}async decode(S){return await q(this.sessions.decoder_model,S)}}class g0 extends Yl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"encoder_model"})}}class w0 extends Yl{static async from_pretrained(S,L={}){return super.from_pretrained(S,{...L,model_file_name:L.model_file_name??"decoder_model"})}}class It{static async from_pretrained(S,{progress_callback:L=null,config:oe=null,cache_dir:ge=null,local_files_only:fe=!1,revision:Se="main",model_file_name:De=null,subfolder:Ge="onnx",device:Je=null,dtype:lt=null,use_external_data_format:yt=null,session_options:st={}}={}){const Et={progress_callback:L,config:oe,cache_dir:ge,local_files_only:fe,revision:Se,model_file_name:De,subfolder:Ge,device:Je,dtype:lt,use_external_data_format:yt,session_options:st};if(Et.config=await s.AutoConfig.from_pretrained(S,Et),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);const at=Et.config.model_type;for(const vt of this.MODEL_CLASS_MAPPINGS){let ct=vt.get(at);if(!ct){for(const xt of vt.values())if(xt[0]===at){ct=xt;break}if(!ct)continue}return await ct[1].from_pretrained(S,Et)}if(this.BASE_IF_FAIL)return W0.has(at)||console.warn(`Unknown model class "${at}", attempting to construct from base class.`),await j.from_pretrained(S,Et);throw Error(`Unsupported model type: ${at}`)}}re(It,"MODEL_CLASS_MAPPINGS",null),re(It,"BASE_IF_FAIL",!1);const PT=new Map([["bert",["BertModel",Ae]],["modernbert",["ModernBertModel",ee]],["nomic_bert",["NomicBertModel",ve]],["roformer",["RoFormerModel",Fe]],["electra",["ElectraModel",cs]],["esm",["EsmModel",Zs]],["convbert",["ConvBertModel",nr]],["camembert",["CamembertModel",us]],["deberta",["DebertaModel",Be]],["deberta-v2",["DebertaV2Model",ps]],["mpnet",["MPNetModel",xn]],["albert",["AlbertModel",Cn]],["distilbert",["DistilBertModel",Ps]],["roberta",["RobertaModel",ur]],["xlm",["XLMModel",rn]],["xlm-roberta",["XLMRobertaModel",Ra]],["clap",["ClapModel",EM]],["clip",["CLIPModel",eo]],["clipseg",["CLIPSegModel",on]],["chinese_clip",["ChineseCLIPModel",sl]],["siglip",["SiglipModel",Za]],["jina_clip",["JinaCLIPModel",nl]],["mobilebert",["MobileBertModel",br]],["squeezebert",["SqueezeBertModel",cr]],["wav2vec2",["Wav2Vec2Model",Ny]],["wav2vec2-bert",["Wav2Vec2BertModel",tM]],["unispeech",["UniSpeechModel",qy]],["unispeech-sat",["UniSpeechSatModel",Jy]],["hubert",["HubertModel",nM]],["wavlm",["WavLMModel",aM]],["audio-spectrogram-transformer",["ASTModel",Va]],["vits",["VitsModel",fu]],["pyannote",["PyAnnoteModel",Wy]],["wespeaker-resnet",["WeSpeakerResNetModel",Hy]],["detr",["DetrModel",Al]],["rt_detr",["RTDetrModel",Dl]],["rt_detr_v2",["RTDetrV2Model",zl]],["rf_detr",["RFDetrModel",ua]],["table-transformer",["TableTransformerModel",C]],["vit",["ViTModel",Ko]],["ijepa",["IJepaModel",qo]],["pvt",["PvtModel",cl]],["vit_msn",["ViTMSNModel",ml]],["vit_mae",["ViTMAEModel",hl]],["groupvit",["GroupViTModel",gl]],["fastvit",["FastViTModel",wl]],["mobilevit",["MobileViTModel",vl]],["mobilevitv2",["MobileViTV2Model",xl]],["owlvit",["OwlViTModel",Pl]],["owlv2",["Owlv2Model",Sl]],["beit",["BeitModel",kl]],["deit",["DeiTModel",ye]],["hiera",["HieraModel",Ye]],["convnext",["ConvNextModel",My]],["convnextv2",["ConvNextV2Model",vy]],["dinov2",["Dinov2Model",xy]],["dinov2_with_registers",["Dinov2WithRegistersModel",Py]],["resnet",["ResNetModel",Bt]],["swin",["SwinModel",Xw]],["swin2sr",["Swin2SRModel",Zw]],["donut-swin",["DonutSwinModel",yy]],["yolos",["YolosModel",ky]],["dpt",["DPTModel",ty]],["glpn",["GLPNModel",_y]],["hifigan",["SpeechT5HifiGan",_M]],["efficientnet",["EfficientNetModel",FM]],["decision_transformer",["DecisionTransformerModel",qM]],["patchtst",["PatchTSTForPrediction",e0]],["patchtsmixer",["PatchTSMixerForPrediction",r0]],["mobilenet_v1",["MobileNetV1Model",DM]],["mobilenet_v2",["MobileNetV2Model",BM]],["mobilenet_v3",["MobileNetV3Model",jM]],["mobilenet_v4",["MobileNetV4Model",WM]],["maskformer",["MaskFormerModel",my]],["mgp-str",["MgpstrForSceneTextRecognition",ZM]],["style_text_to_speech_2",["StyleTextToSpeech2Model",hM]]]),CT=new Map([["t5",["T5Model",le]],["longt5",["LongT5Model",Ue]],["mt5",["MT5Model",Ze]],["bart",["BartModel",kt]],["mbart",["MBartModel",vr]],["marian",["MarianModel",Ly]],["whisper",["WhisperModel",Wa]],["m2m_100",["M2M100Model",By]],["blenderbot",["BlenderbotModel",Gt]],["blenderbot-small",["BlenderbotSmallModel",Zr]]]),ST=new Map([["mimi",["MimiModel",l0]],["dac",["DacModel",h0]],["snac",["SnacModel",_0]]]),$T=new Map([["bloom",["BloomModel",No]],["jais",["JAISModel",so]],["gpt2",["GPT2Model",al]],["gptj",["GPTJModel",co]],["gpt_bigcode",["GPTBigCodeModel",dl]],["gpt_neo",["GPTNeoModel",io]],["gpt_neox",["GPTNeoXModel",ll]],["codegen",["CodeGenModel",In]],["llama",["LlamaModel",ri]],["exaone",["ExaoneModel",fo]],["olmo",["OlmoModel",go]],["olmo2",["Olmo2Model",yo]],["mobilellm",["MobileLLMModel",ft]],["granite",["GraniteModel",Mo]],["cohere",["CohereModel",vo]],["gemma",["GemmaModel",xo]],["gemma2",["Gemma2Model",Po]],["gemma3_text",["Gemma3Model",So]],["helium",["HeliumModel",ho]],["glm",["GlmModel",mo]],["openelm",["OpenELMModel",ko]],["qwen2",["Qwen2Model",Ao]],["phi",["PhiModel",Lo]],["phi3",["Phi3Model",Bo]],["mpt",["MptModel",Vo]],["opt",["OPTModel",Wo]],["mistral",["MistralModel",yM]],["starcoder2",["Starcoder2Model",bM]],["falcon",["FalconModel",TM]],["stablelm",["StableLmModel",IM]]]),vu=new Map([["speecht5",["SpeechT5ForSpeechToText",mM]],["whisper",["WhisperForConditionalGeneration",Hi]],["lite-whisper",["LiteWhisperForConditionalGeneration",Ga]],["moonshine",["MoonshineForConditionalGeneration",Ka]]]),y0=new Map([["speecht5",["SpeechT5ForTextToSpeech",fM]]]),M0=new Map([["vits",["VitsModel",fu]],["musicgen",["MusicgenForConditionalGeneration",yu]]]),b0=new Map([["bert",["BertForSequenceClassification",Le]],["modernbert",["ModernBertForSequenceClassification",te]],["roformer",["RoFormerForSequenceClassification",qe]],["electra",["ElectraForSequenceClassification",jr]],["esm",["EsmForSequenceClassification",tn]],["convbert",["ConvBertForSequenceClassification",dr]],["camembert",["CamembertForSequenceClassification",xs]],["deberta",["DebertaForSequenceClassification",it]],["deberta-v2",["DebertaV2ForSequenceClassification",Er]],["mpnet",["MPNetForSequenceClassification",En]],["albert",["AlbertForSequenceClassification",pe]],["distilbert",["DistilBertForSequenceClassification",Qs]],["roberta",["RobertaForSequenceClassification",Jt]],["xlm",["XLMForSequenceClassification",za]],["xlm-roberta",["XLMRobertaForSequenceClassification",Sn]],["bart",["BartForSequenceClassification",Ot]],["mbart",["MBartForSequenceClassification",Yr]],["mobilebert",["MobileBertForSequenceClassification",Bs]],["squeezebert",["SqueezeBertForSequenceClassification",Ns]]]),v0=new Map([["bert",["BertForTokenClassification",Ne]],["modernbert",["ModernBertForTokenClassification",de]],["roformer",["RoFormerForTokenClassification",Xe]],["electra",["ElectraForTokenClassification",dt]],["esm",["EsmForTokenClassification",Lr]],["convbert",["ConvBertForTokenClassification",ds]],["camembert",["CamembertForTokenClassification",Es]],["deberta",["DebertaForTokenClassification",rr]],["deberta-v2",["DebertaV2ForTokenClassification",ms]],["mpnet",["MPNetForTokenClassification",Rs]],["distilbert",["DistilBertForTokenClassification",Xs]],["roberta",["RobertaForTokenClassification",qt]],["xlm",["XLMForTokenClassification",Wi]],["xlm-roberta",["XLMRobertaForTokenClassification",ja]]]),Tu=new Map([["t5",["T5ForConditionalGeneration",ue]],["longt5",["LongT5ForConditionalGeneration",Qe]],["mt5",["MT5ForConditionalGeneration",ht]],["bart",["BartForConditionalGeneration",Wt]],["mbart",["MBartForConditionalGeneration",_r]],["marian",["MarianMTModel",zy]],["m2m_100",["M2M100ForConditionalGeneration",Ry]],["blenderbot",["BlenderbotForConditionalGeneration",Zt]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",ws]]]),xu=new Map([["bloom",["BloomForCausalLM",jo]],["gpt2",["GPT2LMHeadModel",Yn]],["jais",["JAISLMHeadModel",no]],["gptj",["GPTJForCausalLM",kn]],["gpt_bigcode",["GPTBigCodeForCausalLM",uo]],["gpt_neo",["GPTNeoForCausalLM",oo]],["gpt_neox",["GPTNeoXForCausalLM",ao]],["codegen",["CodeGenForCausalLM",Ur]],["llama",["LlamaForCausalLM",po]],["exaone",["ExaoneForCausalLM",mt]],["olmo",["OlmoForCausalLM",wo]],["olmo2",["Olmo2ForCausalLM",li]],["mobilellm",["MobileLLMForCausalLM",_o]],["granite",["GraniteForCausalLM",bo]],["cohere",["CohereForCausalLM",To]],["gemma",["GemmaForCausalLM",Eo]],["gemma2",["Gemma2ForCausalLM",Co]],["gemma3_text",["Gemma3ForCausalLM",$o]],["helium",["HeliumForCausalLM",ni]],["glm",["GlmForCausalLM",gt]],["openelm",["OpenELMForCausalLM",Io]],["qwen2",["Qwen2ForCausalLM",Fo]],["phi",["PhiForCausalLM",zo]],["phi3",["Phi3ForCausalLM",Ro]],["mpt",["MptForCausalLM",Uo]],["opt",["OPTForCausalLM",Go]],["mbart",["MBartForCausalLM",Tr]],["mistral",["MistralForCausalLM",MM]],["starcoder2",["Starcoder2ForCausalLM",vM]],["falcon",["FalconForCausalLM",xM]],["trocr",["TrOCRForCausalLM",wM]],["stablelm",["StableLmForCausalLM",AM]],["phi3_v",["Phi3VForCausalLM",js]]]),kT=new Map([["multi_modality",["MultiModalityCausalLM",XM]]]),T0=new Map([["bert",["BertForMaskedLM",Ie]],["modernbert",["ModernBertForMaskedLM",B]],["roformer",["RoFormerForMaskedLM",je]],["electra",["ElectraForMaskedLM",Ds]],["esm",["EsmForMaskedLM",en]],["convbert",["ConvBertForMaskedLM",jt]],["camembert",["CamembertForMaskedLM",Ts]],["deberta",["DebertaForMaskedLM",et]],["deberta-v2",["DebertaV2ForMaskedLM",hs]],["mpnet",["MPNetForMaskedLM",zr]],["albert",["AlbertForMaskedLM",V]],["distilbert",["DistilBertForMaskedLM",Ys]],["roberta",["RobertaForMaskedLM",Rt]],["xlm",["XLMWithLMHeadModel",sn]],["xlm-roberta",["XLMRobertaForMaskedLM",Na]],["mobilebert",["MobileBertForMaskedLM",zs]],["squeezebert",["SqueezeBertForMaskedLM",fr]]]),x0=new Map([["bert",["BertForQuestionAnswering",We]],["roformer",["RoFormerForQuestionAnswering",ut]],["electra",["ElectraForQuestionAnswering",qr]],["convbert",["ConvBertForQuestionAnswering",Os]],["camembert",["CamembertForQuestionAnswering",Ls]],["deberta",["DebertaForQuestionAnswering",zt]],["deberta-v2",["DebertaV2ForQuestionAnswering",fs]],["mpnet",["MPNetForQuestionAnswering",Ar]],["albert",["AlbertForQuestionAnswering",F]],["distilbert",["DistilBertForQuestionAnswering",Js]],["roberta",["RobertaForQuestionAnswering",er]],["xlm",["XLMForQuestionAnswering",Ba]],["xlm-roberta",["XLMRobertaForQuestionAnswering",Gi]],["mobilebert",["MobileBertForQuestionAnswering",Ir]],["squeezebert",["SqueezeBertForQuestionAnswering",Pn]]]),Eu=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Qi]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]]]),E0=new Map([["llava",["LlavaForConditionalGeneration",Kn]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",qa]],["moondream1",["Moondream1ForConditionalGeneration",Qa]],["florence2",["Florence2ForConditionalGeneration",Xi]],["qwen2-vl",["Qwen2VLForConditionalGeneration",Do]],["idefics3",["Idefics3ForConditionalGeneration",Hn]],["smolvlm",["SmolVLMForConditionalGeneration",qn]],["paligemma",["PaliGemmaForConditionalGeneration",Yi]]]),P0=new Map([["ultravox",["UltravoxModel",i0]]]),IT=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Qi]]]),C0=new Map([["vit",["ViTForImageClassification",Ho]],["ijepa",["IJepaForImageClassification",Qo]],["pvt",["PvtForImageClassification",ul]],["vit_msn",["ViTMSNForImageClassification",fl]],["fastvit",["FastViTForImageClassification",yl]],["mobilevit",["MobileViTForImageClassification",Tl]],["mobilevitv2",["MobileViTV2ForImageClassification",El]],["beit",["BeitForImageClassification",Il]],["deit",["DeiTForImageClassification",Ee]],["hiera",["HieraForImageClassification",ot]],["convnext",["ConvNextForImageClassification",by]],["convnextv2",["ConvNextV2ForImageClassification",Ty]],["dinov2",["Dinov2ForImageClassification",Ey]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",Cy]],["resnet",["ResNetForImageClassification",Fr]],["swin",["SwinForImageClassification",Jw]],["segformer",["SegformerForImageClassification",$M]],["efficientnet",["EfficientNetForImageClassification",OM]],["mobilenet_v1",["MobileNetV1ForImageClassification",LM]],["mobilenet_v2",["MobileNetV2ForImageClassification",RM]],["mobilenet_v3",["MobileNetV3ForImageClassification",VM]],["mobilenet_v4",["MobileNetV4ForImageClassification",GM]]]),S0=new Map([["detr",["DetrForObjectDetection",Fl]],["rt_detr",["RTDetrForObjectDetection",Ll]],["rt_detr_v2",["RTDetrV2ForObjectDetection",Bl]],["rf_detr",["RFDetrForObjectDetection",d]],["table-transformer",["TableTransformerForObjectDetection",I]],["yolos",["YolosForObjectDetection",Iy]]]),$0=new Map([["owlvit",["OwlViTForObjectDetection",Cl]],["owlv2",["Owlv2ForObjectDetection",$l]],["grounding-dino",["GroundingDinoForObjectDetection",$y]]]),Pi=new Map([["detr",["DetrForSegmentation",oa]],["clipseg",["CLIPSegForImageSegmentation",to]]]),k0=new Map([["segformer",["SegformerForSemanticSegmentation",kM]],["sapiens",["SapiensForSemanticSegmentation",iy]],["swin",["SwinForSemanticSegmentation",Yw]],["mobilenet_v1",["MobileNetV1ForSemanticSegmentation",zM]],["mobilenet_v2",["MobileNetV2ForSemanticSegmentation",NM]],["mobilenet_v3",["MobileNetV3ForSemanticSegmentation",UM]],["mobilenet_v4",["MobileNetV4ForSemanticSegmentation",KM]]]),I0=new Map([["detr",["DetrForSegmentation",oa]],["maskformer",["MaskFormerForInstanceSegmentation",fy]]]),A0=new Map([["sam",["SamModel",Oy]]]),F0=new Map([["wav2vec2",["Wav2Vec2ForCTC",jy]],["wav2vec2-bert",["Wav2Vec2BertForCTC",rM]],["unispeech",["UniSpeechForCTC",Qy]],["unispeech-sat",["UniSpeechSatForCTC",Yy]],["wavlm",["WavLMForCTC",lM]],["hubert",["HubertForCTC",iM]]]),O0=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",Vy]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",sM]],["unispeech",["UniSpeechForSequenceClassification",Xy]],["unispeech-sat",["UniSpeechSatForSequenceClassification",Zy]],["wavlm",["WavLMForSequenceClassification",dM]],["hubert",["HubertForSequenceClassification",oM]],["audio-spectrogram-transformer",["ASTForAudioClassification",Ua]]]),D0=new Map([["wavlm",["WavLMForXVector",cM]]]),L0=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",eM]],["wavlm",["WavLMForAudioFrameClassification",uM]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Uy]],["pyannote",["PyAnnoteForAudioFrameClassification",Gy]]]),z0=new Map([["vitmatte",["VitMatteForImageMatting",bl]]]),AT=new Map([["patchtst",["PatchTSTForPrediction",t0]],["patchtsmixer",["PatchTSMixerForPrediction",s0]]]),B0=new Map([["swin2sr",["Swin2SRForImageSuperResolution",ey]]]),R0=new Map([["dpt",["DPTForDepthEstimation",ry]],["depth_anything",["DepthAnythingForDepthEstimation",ny]],["glpn",["GLPNForDepthEstimation",gy]],["sapiens",["SapiensForDepthEstimation",oy]],["depth_pro",["DepthProForDepthEstimation",dy]],["metric3d",["Metric3DForDepthEstimation",uy]],["metric3dv2",["Metric3Dv2ForDepthEstimation",hy]]]),N0=new Map([["sapiens",["SapiensForNormalEstimation",ay]]]),j0=new Map([["vitpose",["VitPoseForPoseEstimation",Jo]]]),V0=new Map([["clip",["CLIPVisionModelWithProjection",Qn]],["siglip",["SiglipVisionModel",tl]],["jina_clip",["JinaCLIPVisionModel",ol]]]),U0=[[PT,E.EncoderOnly],[CT,E.EncoderDecoder],[$T,E.DecoderOnly],[ST,E.AutoEncoder],[b0,E.EncoderOnly],[v0,E.EncoderOnly],[Tu,E.Seq2Seq],[vu,E.Seq2Seq],[xu,E.DecoderOnly],[kT,E.MultiModality],[T0,E.EncoderOnly],[x0,E.EncoderOnly],[Eu,E.Vision2Seq],[E0,E.ImageTextToText],[P0,E.AudioTextToText],[C0,E.EncoderOnly],[Pi,E.EncoderOnly],[I0,E.EncoderOnly],[k0,E.EncoderOnly],[z0,E.EncoderOnly],[AT,E.EncoderOnly],[B0,E.EncoderOnly],[R0,E.EncoderOnly],[N0,E.EncoderOnly],[j0,E.EncoderOnly],[S0,E.EncoderOnly],[$0,E.EncoderOnly],[A0,E.MaskGeneration],[F0,E.EncoderOnly],[O0,E.EncoderOnly],[y0,E.Seq2Seq],[M0,E.EncoderOnly],[D0,E.EncoderOnly],[L0,E.EncoderOnly],[V0,E.EncoderOnly]];for(const[b,S]of U0)for(const[L,oe]of b.values())M.set(L,S),x.set(oe,L),w.set(L,oe);const FT=[["MusicgenForConditionalGeneration",yu,E.Musicgen],["Phi3VForCausalLM",js,E.Phi3V],["CLIPTextModelWithProjection",Ya,E.EncoderOnly],["SiglipTextModel",el,E.EncoderOnly],["JinaCLIPTextModel",il,E.EncoderOnly],["ClapTextModelWithProjection",PM,E.EncoderOnly],["ClapAudioModelWithProjection",CM,E.EncoderOnly],["DacEncoderModel",m0,E.EncoderOnly],["DacDecoderModel",f0,E.EncoderOnly],["MimiEncoderModel",d0,E.EncoderOnly],["MimiDecoderModel",c0,E.EncoderOnly],["SnacEncoderModel",g0,E.EncoderOnly],["SnacDecoderModel",w0,E.EncoderOnly]];for(const[b,S,L]of FT)M.set(b,L),x.set(S,b),w.set(b,S);const W0=new Map([["modnet",Pi],["birefnet",Pi],["isnet",Pi],["ben",Pi]]);for(const[b,S]of W0.entries())S.set(b,["PreTrainedModel",j]),M.set(b,E.EncoderOnly),x.set(j,b),w.set(b,j);class Pu extends It{}re(Pu,"MODEL_CLASS_MAPPINGS",U0.map(S=>S[0])),re(Pu,"BASE_IF_FAIL",!0);class G0 extends It{}re(G0,"MODEL_CLASS_MAPPINGS",[b0]);class K0 extends It{}re(K0,"MODEL_CLASS_MAPPINGS",[v0]);class H0 extends It{}re(H0,"MODEL_CLASS_MAPPINGS",[Tu]);class q0 extends It{}re(q0,"MODEL_CLASS_MAPPINGS",[vu]);class Q0 extends It{}re(Q0,"MODEL_CLASS_MAPPINGS",[y0]);class X0 extends It{}re(X0,"MODEL_CLASS_MAPPINGS",[M0]);class J0 extends It{}re(J0,"MODEL_CLASS_MAPPINGS",[xu]);class Y0 extends It{}re(Y0,"MODEL_CLASS_MAPPINGS",[T0]);class Z0 extends It{}re(Z0,"MODEL_CLASS_MAPPINGS",[x0]);class eb extends It{}re(eb,"MODEL_CLASS_MAPPINGS",[Eu]);class tb extends It{}re(tb,"MODEL_CLASS_MAPPINGS",[C0]);class rb extends It{}re(rb,"MODEL_CLASS_MAPPINGS",[Pi]);class sb extends It{}re(sb,"MODEL_CLASS_MAPPINGS",[k0]);class nb extends It{}re(nb,"MODEL_CLASS_MAPPINGS",[I0]);class ib extends It{}re(ib,"MODEL_CLASS_MAPPINGS",[S0]);class ob extends It{}re(ob,"MODEL_CLASS_MAPPINGS",[$0]);class ab extends It{}re(ab,"MODEL_CLASS_MAPPINGS",[A0]);class lb extends It{}re(lb,"MODEL_CLASS_MAPPINGS",[F0]);class db extends It{}re(db,"MODEL_CLASS_MAPPINGS",[O0]);class cb extends It{}re(cb,"MODEL_CLASS_MAPPINGS",[D0]);class ub extends It{}re(ub,"MODEL_CLASS_MAPPINGS",[L0]);class pb extends It{}re(pb,"MODEL_CLASS_MAPPINGS",[IT]);class hb extends It{}re(hb,"MODEL_CLASS_MAPPINGS",[z0]);class mb extends It{}re(mb,"MODEL_CLASS_MAPPINGS",[B0]);class fb extends It{}re(fb,"MODEL_CLASS_MAPPINGS",[R0]);class _b extends It{}re(_b,"MODEL_CLASS_MAPPINGS",[N0]);class gb extends It{}re(gb,"MODEL_CLASS_MAPPINGS",[j0]);class wb extends It{}re(wb,"MODEL_CLASS_MAPPINGS",[V0]);class yb extends It{}re(yb,"MODEL_CLASS_MAPPINGS",[E0]);class Mb extends It{}re(Mb,"MODEL_CLASS_MAPPINGS",[P0]);class OT extends me{constructor({logits:S,past_key_values:L,encoder_outputs:oe,decoder_attentions:ge=null,cross_attentions:fe=null}){super(),this.logits=S,this.past_key_values=L,this.encoder_outputs=oe,this.decoder_attentions=ge,this.cross_attentions=fe}}class bt extends me{constructor({logits:S,...L}){super(),this.logits=S;const oe=Object.values(L);oe.length>0&&(this.attentions=oe)}}class bb extends me{constructor({logits:S,embeddings:L}){super(),this.logits=S,this.embeddings=L}}class pr extends me{constructor({logits:S}){super(),this.logits=S}}class wr extends me{constructor({logits:S}){super(),this.logits=S}}class Pr extends me{constructor({start_logits:S,end_logits:L}){super(),this.start_logits=S,this.end_logits=L}}class Fn extends me{constructor({logits:S}){super(),this.logits=S}}class DT extends me{constructor({logits:S,past_key_values:L}){super(),this.logits=S,this.past_key_values=L}}class vb extends me{constructor({alphas:S}){super(),this.alphas=S}}class Tb extends me{constructor({waveform:S,spectrogram:L}){super(),this.waveform=S,this.spectrogram=L}}},"./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a);const l=this.config.sampling_rate,c=(0,i.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(l/2),l,null,"kaldi",!0);for(let p=0;p<c.length;++p)c[p].push(0);this.mel_filters=c,this.window=(0,i.window_function)(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(a,l){return(0,i.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,max_num_frames:l,transpose:!0})}async _call(a){(0,s.validate_audio_inputs)(a,"ASTFeatureExtractor");const l=await this._extract_fbank_features(a,this.config.max_length);if(this.config.do_normalize){const c=this.std*2,p=l.data;for(let u=0;u<p.length;++u)p[u]=(p[u]-this.mean)/c}return{input_values:l.unsqueeze_(0)}}}},"./src/models/auto/feature_extraction_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoFeatureExtractor:()=>o});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js");t("./src/base/feature_extraction_utils.js");var n=t("./src/models/feature_extractors.js");class o{static async from_pretrained(l,c={}){const p=await(0,i.getModelJSON)(l,s.FEATURE_EXTRACTOR_NAME,!0,c),u=p.feature_extractor_type,h=n[u];if(!h)throw new Error(`Unknown feature_extractor_type: '${u}'. Please report this at ${s.GITHUB_ISSUE_URL}.`);return new h(p)}}},"./src/models/auto/image_processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoImageProcessor:()=>a});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/image_processors_utils.js"),o=t("./src/models/image_processors.js");class a{static async from_pretrained(c,p={}){const u=await(0,i.getModelJSON)(c,s.IMAGE_PROCESSOR_NAME,!0,p),h=u.image_processor_type??u.feature_extractor_type;let g=o[h];return g||(h!==void 0&&console.warn(`Image processor type '${h}' not found, assuming base ImageProcessor. Please report this at ${s.GITHUB_ISSUE_URL}.`),g=n.ImageProcessor),new g(u)}}},"./src/models/auto/processing_auto.js":(e,r,t)=>{t.r(r),t.d(r,{AutoProcessor:()=>c});var s=t("./src/utils/constants.js"),i=t("./src/utils/hub.js"),n=t("./src/base/processing_utils.js"),o=t("./src/models/processors.js"),a=t("./src/models/image_processors.js"),l=t("./src/models/feature_extractors.js");class c{static async from_pretrained(u,h={}){const g=await(0,i.getModelJSON)(u,s.IMAGE_PROCESSOR_NAME,!0,h),{image_processor_type:_,feature_extractor_type:P,processor_class:A}=g;if(A&&o[A])return o[A].from_pretrained(u,h);if(!_&&!P)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const v={};if(_){const k=a[_];if(!k)throw new Error(`Unknown image_processor_type: '${_}'.`);v.image_processor=new k(g)}if(P){const k=a[P];if(k)v.image_processor=new k(g);else{const E=l[P];if(!E)throw new Error(`Unknown feature_extractor_type: '${P}'.`);v.feature_extractor=new E(g)}}const y={};return new n.Processor(y,v)}}},"./src/models/beit/image_processing_beit.js":(e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/bit/image_processing_bit.js":(e,r,t)=>{t.r(r),t.d(r,{BitImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/chinese_clip/image_processing_chinese_clip.js":(e,r,t)=>{t.r(r),t.d(r,{ChineseCLIPFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/clap/feature_extraction_clap.js":(e,r,t)=>{t.r(r),t.d(r,{ClapFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var i=t("./src/utils/audio.js");class n extends s.FeatureExtractor{constructor(a){super(a),this.mel_filters=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,i.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,i.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(a,l,c,p){let u;const h=a.length-l;if(h>0)if(c==="rand_trunc"){const g=Math.floor(Math.random()*(h+1));a=a.subarray(g,g+l),u=await this._extract_fbank_features(a,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${c}" not implemented`);else{if(h<0){let g=new Float64Array(l);if(g.set(a),p==="repeat")for(let _=a.length;_<l;_+=a.length)g.set(a.subarray(0,Math.min(a.length,l-_)),_);else if(p==="repeatpad")for(let _=a.length;_<-h;_+=a.length)g.set(a,_);a=g}if(c==="fusion")throw new Error(`Truncation strategy "${c}" not implemented`);u=await this._extract_fbank_features(a,this.mel_filters_slaney,this.config.nb_max_samples)}return u.unsqueeze_(0)}async _extract_fbank_features(a,l,c=null){return(0,i.spectrogram)(a,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:l,log_mel:"dB",max_num_frames:c,do_pad:!1,transpose:!0})}async _call(a,{max_length:l=null}={}){return(0,s.validate_audio_inputs)(a,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(a,l??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}}},"./src/models/clip/image_processing_clip.js":(e,r,t)=>{t.r(r),t.d(r,{CLIPFeatureExtractor:()=>n,CLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/convnext/image_processing_convnext.js":(e,r,t)=>{t.r(r),t.d(r,{ConvNextFeatureExtractor:()=>n,ConvNextImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(a){super(a),this.crop_pct=this.config.crop_pct??224/256}async resize(a){var c;const l=(c=this.size)==null?void 0:c.shortest_edge;if(l===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(l<384){const p=Math.floor(l/this.crop_pct),[u,h]=this.get_resize_output_image_size(a,{shortest_edge:p});a=await a.resize(u,h,{resample:this.resample}),a=await a.center_crop(l,l)}else a=await a.resize(l,l,{resample:this.resample});return a}}class n extends i{}},"./src/models/dac/feature_extraction_dac.js":(e,r,t)=>{t.r(r),t.d(r,{DacFeatureExtractor:()=>i});var s=t("./src/models/encodec/feature_extraction_encodec.js");class i extends s.EncodecFeatureExtractor{}},"./src/models/deit/image_processing_deit.js":(e,r,t)=>{t.r(r),t.d(r,{DeiTFeatureExtractor:()=>n,DeiTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/detr/image_processing_detr.js":(e,r,t)=>{t.r(r),t.d(r,{DetrFeatureExtractor:()=>o,DetrImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(l){const c=await super._call(l),p=[c.pixel_values.dims[0],64,64],u=(0,i.full)(p,1n);return{...c,pixel_mask:u}}post_process_object_detection(...l){return(0,s.post_process_object_detection)(...l)}post_process_panoptic_segmentation(...l){return(0,s.post_process_panoptic_segmentation)(...l)}post_process_instance_segmentation(...l){return(0,s.post_process_instance_segmentation)(...l)}}class o extends n{}},"./src/models/donut/image_processing_donut.js":(e,r,t)=>{t.r(r),t.d(r,{DonutFeatureExtractor:()=>n,DonutImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{pad_image(a,l,c,p={}){const[u,h,g]=l;let _=this.image_mean;Array.isArray(this.image_mean)||(_=new Array(g).fill(_));let P=this.image_std;Array.isArray(P)||(P=new Array(g).fill(_));const A=_.map((v,y)=>-v/P[y]);return super.pad_image(a,l,c,{center:!0,constant_values:A,...p})}}class n extends i{}},"./src/models/dpt/image_processing_dpt.js":(e,r,t)=>{t.r(r),t.d(r,{DPTFeatureExtractor:()=>n,DPTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/efficientnet/image_processing_efficientnet.js":(e,r,t)=>{t.r(r),t.d(r,{EfficientNetImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super(o),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(a=>a*a))}}},"./src/models/encodec/feature_extraction_encodec.js":(e,r,t)=>{t.r(r),t.d(r,{EncodecFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js");class n extends s.FeatureExtractor{async _call(a){(0,s.validate_audio_inputs)(a,"EncodecFeatureExtractor"),a instanceof Float64Array&&(a=new Float32Array(a));const l=this.config.feature_size;if(a.length%l!==0)throw new Error(`The length of the audio data must be a multiple of the number of channels (${l}).`);const c=[1,l,a.length/l];return{input_values:new i.Tensor("float32",a,c)}}}},"./src/models/feature_extractors.js":(e,r,t)=>{t.r(r),t.d(r,{ASTFeatureExtractor:()=>s.ASTFeatureExtractor,ClapFeatureExtractor:()=>n.ClapFeatureExtractor,DacFeatureExtractor:()=>o.DacFeatureExtractor,EncodecFeatureExtractor:()=>i.EncodecFeatureExtractor,ImageFeatureExtractor:()=>P.ImageProcessor,MoonshineFeatureExtractor:()=>a.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>l.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>c.SeamlessM4TFeatureExtractor,SnacFeatureExtractor:()=>p.SnacFeatureExtractor,SpeechT5FeatureExtractor:()=>u.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>h.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>g.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>_.WhisperFeatureExtractor});var s=t("./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js"),i=t("./src/models/encodec/feature_extraction_encodec.js"),n=t("./src/models/clap/feature_extraction_clap.js"),o=t("./src/models/dac/feature_extraction_dac.js"),a=t("./src/models/moonshine/feature_extraction_moonshine.js"),l=t("./src/models/pyannote/feature_extraction_pyannote.js"),c=t("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),p=t("./src/models/snac/feature_extraction_snac.js"),u=t("./src/models/speecht5/feature_extraction_speecht5.js"),h=t("./src/models/wav2vec2/feature_extraction_wav2vec2.js"),g=t("./src/models/wespeaker/feature_extraction_wespeaker.js"),_=t("./src/models/whisper/feature_extraction_whisper.js"),P=t("./src/base/image_processors_utils.js")},"./src/models/florence2/processing_florence2.js":(e,r,t)=>{t.r(r),t.d(r,{Florence2Processor:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{constructor(l,c){super(l,c);const{tasks_answer_post_processing_type:p,task_prompts_without_inputs:u,task_prompts_with_input:h}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(p??{})),this.task_prompts_without_inputs=new Map(Object.entries(u??{})),this.task_prompts_with_input=new Map(Object.entries(h??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(l){typeof l=="string"&&(l=[l]);const c=[];for(const p of l)if(this.task_prompts_without_inputs.has(p))c.push(this.task_prompts_without_inputs.get(p));else{for(const[u,h]of this.task_prompts_with_input)if(p.includes(u)){c.push(h.replaceAll("{input}",p).replaceAll(u,""));break}c.length!==l.length&&c.push(p)}return c}post_process_generation(l,c,p){const u=this.tasks_answer_post_processing_type.get(c)??"pure_text";l=l.replaceAll("<s>","").replaceAll("</s>","");let h;switch(u){case"pure_text":h=l;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const g=u==="ocr"?"quad_boxes":"bboxes",_=l.matchAll(this.regexes[g]),P=[],A=[];for(const[v,y,...k]of _)P.push(y?y.trim():P.at(-1)??""),A.push(k.map((E,M)=>(Number(E)+.5)/this.size_per_bin*p[M%2]));h={labels:P,[g]:A};break;default:throw new Error(`Task "${c}" (of type "${u}") not yet implemented.`)}return{[c]:h}}async _call(l,c=null,p={}){if(!l&&!c)throw new Error("Either text or images must be provided");const u=await this.image_processor(l,p),h=c?this.tokenizer(c,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/glpn/image_processing_glpn.js":(e,r,t)=>{t.r(r),t.d(r,{GLPNFeatureExtractor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/grounding_dino/image_processing_grounding_dino.js":(e,r,t)=>{t.r(r),t.d(r,{GroundingDinoImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{async _call(a){const l=await super._call(a),c=l.pixel_values.dims,p=(0,i.ones)([c[0],c[2],c[3]]);return{...l,pixel_mask:p}}}},"./src/models/grounding_dino/processing_grounding_dino.js":(e,r,t)=>{t.r(r),t.d(r,{GroundingDinoProcessor:()=>l});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/base/image_processors_utils.js");function a(c,p){const h=c.dims.at(-1)-1,g=c.tolist();g.fill(!1,0,1),g.fill(!1,h);const _=p.tolist();return g.map((P,A)=>P?A:null).filter(P=>P!==null).map(P=>_[P])}class l extends s.Processor{async _call(p,u,h={}){const g=p?await this.image_processor(p,h):{};return{...u?this.tokenizer(u,h):{},...g}}post_process_grounded_object_detection(p,u,{box_threshold:h=.25,text_threshold:g=.25,target_sizes:_=null}={}){const{logits:P,pred_boxes:A}=p,v=P.dims[0];if(_!==null&&_.length!==v)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const y=P.dims.at(1),k=P.sigmoid(),E=k.max(-1).tolist(),M=A.tolist().map(x=>x.map($=>(0,o.center_to_corners_format)($))),w=[];for(let x=0;x<v;++x){const $=_!==null?_[x]:null;$!==null&&(M[x]=M[x].map(U=>U.map((Z,H)=>Z*$[(H+1)%2])));const z=E[x],R=[],Q=[],q=[];for(let U=0;U<y;++U){const Z=z[U];if(Z<=h)continue;const H=M[x][U],J=k[x][U];R.push(Z),q.push(H);const ie=a(J.gt(g),u[x]);Q.push(ie)}w.push({scores:R,boxes:q,labels:this.batch_decode(Q)})}return w}}re(l,"tokenizer_class",n.AutoTokenizer),re(l,"image_processor_class",i.AutoImageProcessor)},"./src/models/idefics3/image_processing_idefics3.js":(e,r,t)=>{t.r(r),t.d(r,{Idefics3ImageProcessor:()=>n});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");class n extends s.ImageProcessor{constructor(a){super(a),this.do_image_splitting=a.do_image_splitting??!0,this.max_image_size=a.max_image_size}get_resize_for_vision_encoder(a,l){let[c,p]=a.dims.slice(-2);const u=p/c;return p>=c?(p=Math.ceil(p/l)*l,c=Math.floor(p/u),c=Math.ceil(c/l)*l):(c=Math.ceil(c/l)*l,p=Math.floor(c*u),p=Math.ceil(p/l)*l),{height:c,width:p}}async _call(a,{do_image_splitting:l=null,return_row_col_info:c=!1}={}){let p;if(!Array.isArray(a))p=[[a]];else{if(a.length===0||!a[0])throw new Error("No images provided.");Array.isArray(a[0])?p=a:p=[a]}let u=[],h=[],g=[];const _=[],P=[];for(const x of p){let $=await Promise.all(x.map(Q=>this.preprocess(Q)));_.push(...$.map(Q=>Q.original_size)),P.push(...$.map(Q=>Q.reshaped_input_size)),$.forEach(Q=>Q.pixel_values.unsqueeze_(0));const{longest_edge:z}=this.max_image_size;let R;if(l??this.do_image_splitting){let Q=new Array($.length),q=new Array($.length);R=await Promise.all($.map(async(U,Z)=>{const H=this.get_resize_for_vision_encoder(U.pixel_values,z),J=await(0,i.interpolate_4d)(U.pixel_values,{size:[H.height,H.width]}),{frames:ie,num_splits_h:ae,num_splits_w:ce}=await this.split_image(J,this.max_image_size);return Q[Z]=ae,q[Z]=ce,(0,i.cat)(ie,0)})),h.push(Q),g.push(q)}else{const Q=[z,z];R=await Promise.all($.map(q=>(0,i.interpolate_4d)(q.pixel_values,{size:Q}))),h.push(new Array($.length).fill(0)),g.push(new Array($.length).fill(0))}u.push((0,i.cat)(R,0))}const A=u.length,[v,y,k,E]=u[0].dims;let M,w;if(A===1)M=u[0].unsqueeze_(0),w=(0,i.full)([A,v,k,E],!0);else{const x=Math.max(...u.map(R=>R.dims.at(0)));w=(0,i.full)([A,x,k,E],!0);const $=w.data,z=x*k*E;for(let R=0;R<A;++R){const Q=u[R].dims[0];if(Q<x){u[R]=(0,i.cat)([u[R],(0,i.full)([x-Q,y,k,E],0)],0);const q=R*z+Q*k*E,U=(R+1)*z;$.fill(!1,q,U)}}M=(0,i.stack)(u,0)}return{pixel_values:M,pixel_attention_mask:w,original_sizes:_,reshaped_input_sizes:P,...c?{rows:h,cols:g}:{}}}async split_image(a,{longest_edge:l}){const c=l,p=l,u=[],[h,g]=a.dims.slice(-2);let _=0,P=0;if(h>c||g>p){_=Math.ceil(h/c),P=Math.ceil(g/p);const A=Math.ceil(h/_),v=Math.ceil(g/P);for(let E=0;E<_;++E)for(let M=0;M<P;++M){let w,x,$,z;E===_-1?(x=h-A,z=h):(x=E*A,z=(E+1)*A),M===P-1?(w=g-v,$=g):(w=M*v,$=(M+1)*v);const R=[x,w],Q=[z,$],q=await(0,i.slice)(a,R,Q,[2,3]);u.push(q)}const y=c,k=p;(h!==y||g!==k)&&(a=await(0,i.interpolate_4d)(a,{size:[y,k]}))}return u.push(a),{frames:u,num_splits_h:_,num_splits_w:P}}}},"./src/models/idefics3/processing_idefics3.js":(e,r,t)=>{t.r(r),t.d(r,{Idefics3Processor:()=>p});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");t("./src/utils/image.js");var o=t("./src/utils/core.js");function a(u,h,g,_,P,A){let v="";for(let y=0;y<h;++y){for(let k=0;k<g;++k)v+=_+`<row_${y+1}_col_${k+1}>`+P.repeat(u);v+=`
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Z=0;Z<Q.length;++Z)U+=Q[Z]+q[Z+1];M.push(U)}return{...this.tokenizer(M),...A}}}re(p,"image_processor_class",i.AutoImageProcessor),re(p,"tokenizer_class",n.AutoTokenizer),re(p,"uses_processor_config",!0)},"./src/models/image_processors.js":(e,r,t)=>{t.r(r),t.d(r,{BeitFeatureExtractor:()=>s.BeitFeatureExtractor,BitImageProcessor:()=>i.BitImageProcessor,CLIPFeatureExtractor:()=>o.CLIPFeatureExtractor,CLIPImageProcessor:()=>o.CLIPImageProcessor,ChineseCLIPFeatureExtractor:()=>n.ChineseCLIPFeatureExtractor,ConvNextFeatureExtractor:()=>a.ConvNextFeatureExtractor,ConvNextImageProcessor:()=>a.ConvNextImageProcessor,DPTFeatureExtractor:()=>u.DPTFeatureExtractor,DPTImageProcessor:()=>u.DPTImageProcessor,DeiTFeatureExtractor:()=>l.DeiTFeatureExtractor,DeiTImageProcessor:()=>l.DeiTImageProcessor,DetrFeatureExtractor:()=>c.DetrFeatureExtractor,DetrImageProcessor:()=>c.DetrImageProcessor,DonutFeatureExtractor:()=>p.DonutFeatureExtractor,DonutImageProcessor:()=>p.DonutImageProcessor,EfficientNetImageProcessor:()=>h.EfficientNetImageProcessor,GLPNFeatureExtractor:()=>g.GLPNFeatureExtractor,GroundingDinoImageProcessor:()=>_.GroundingDinoImageProcessor,Idefics3ImageProcessor:()=>P.Idefics3ImageProcessor,JinaCLIPImageProcessor:()=>v.JinaCLIPImageProcessor,LlavaOnevisionImageProcessor:()=>y.LlavaOnevisionImageProcessor,Mask2FormerImageProcessor:()=>k.Mask2FormerImageProcessor,MaskFormerFeatureExtractor:()=>E.MaskFormerFeatureExtractor,MaskFormerImageProcessor:()=>E.MaskFormerImageProcessor,MobileNetV1FeatureExtractor:()=>M.MobileNetV1FeatureExtractor,MobileNetV1ImageProcessor:()=>M.MobileNetV1ImageProcessor,MobileNetV2FeatureExtractor:()=>w.MobileNetV2FeatureExtractor,MobileNetV2ImageProcessor:()=>w.MobileNetV2ImageProcessor,MobileNetV3FeatureExtractor:()=>x.MobileNetV3FeatureExtractor,MobileNetV3ImageProcessor:()=>x.MobileNetV3ImageProcessor,MobileNetV4FeatureExtractor:()=>$.MobileNetV4FeatureExtractor,MobileNetV4ImageProcessor:()=>$.MobileNetV4ImageProcessor,MobileViTFeatureExtractor:()=>z.MobileViTFeatureExtractor,MobileViTImageProcessor:()=>z.MobileViTImageProcessor,NougatImageProcessor:()=>R.NougatImageProcessor,OwlViTFeatureExtractor:()=>q.OwlViTFeatureExtractor,OwlViTImageProcessor:()=>q.OwlViTImageProcessor,Owlv2ImageProcessor:()=>Q.Owlv2ImageProcessor,Phi3VImageProcessor:()=>U.Phi3VImageProcessor,PvtImageProcessor:()=>Z.PvtImageProcessor,Qwen2VLImageProcessor:()=>H.Qwen2VLImageProcessor,RTDetrImageProcessor:()=>J.RTDetrImageProcessor,SamImageProcessor:()=>ie.SamImageProcessor,SegformerFeatureExtractor:()=>ae.SegformerFeatureExtractor,SegformerImageProcessor:()=>ae.SegformerImageProcessor,SiglipImageProcessor:()=>ce.SiglipImageProcessor,SmolVLMImageProcessor:()=>he.SmolVLMImageProcessor,Swin2SRImageProcessor:()=>N.Swin2SRImageProcessor,VLMImageProcessor:()=>A.VLMImageProcessor,ViTFeatureExtractor:()=>O.ViTFeatureExtractor,ViTImageProcessor:()=>O.ViTImageProcessor,VitMatteImageProcessor:()=>G.VitMatteImageProcessor,VitPoseImageProcessor:()=>se.VitPoseImageProcessor,YolosFeatureExtractor:()=>X.YolosFeatureExtractor,YolosImageProcessor:()=>X.YolosImageProcessor});var s=t("./src/models/beit/image_processing_beit.js"),i=t("./src/models/bit/image_processing_bit.js"),n=t("./src/models/chinese_clip/image_processing_chinese_clip.js"),o=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/donut/image_processing_donut.js"),u=t("./src/models/dpt/image_processing_dpt.js"),h=t("./src/models/efficientnet/image_processing_efficientnet.js"),g=t("./src/models/glpn/image_processing_glpn.js"),_=t("./src/models/grounding_dino/image_processing_grounding_dino.js"),P=t("./src/models/idefics3/image_processing_idefics3.js"),A=t("./src/models/janus/image_processing_janus.js"),v=t("./src/models/jina_clip/image_processing_jina_clip.js"),y=t("./src/models/llava_onevision/image_processing_llava_onevision.js"),k=t("./src/models/mask2former/image_processing_mask2former.js"),E=t("./src/models/maskformer/image_processing_maskformer.js"),M=t("./src/models/mobilenet_v1/image_processing_mobilenet_v1.js"),w=t("./src/models/mobilenet_v2/image_processing_mobilenet_v2.js"),x=t("./src/models/mobilenet_v3/image_processing_mobilenet_v3.js"),$=t("./src/models/mobilenet_v4/image_processing_mobilenet_v4.js"),z=t("./src/models/mobilevit/image_processing_mobilevit.js"),R=t("./src/models/nougat/image_processing_nougat.js"),Q=t("./src/models/owlv2/image_processing_owlv2.js"),q=t("./src/models/owlvit/image_processing_owlvit.js"),U=t("./src/models/phi3_v/image_processing_phi3_v.js"),Z=t("./src/models/pvt/image_processing_pvt.js"),H=t("./src/models/qwen2_vl/image_processing_qwen2_vl.js"),J=t("./src/models/rt_detr/image_processing_rt_detr.js"),ie=t("./src/models/sam/image_processing_sam.js"),ae=t("./src/models/segformer/image_processing_segformer.js"),ce=t("./src/models/siglip/image_processing_siglip.js"),he=t("./src/models/smolvlm/image_processing_smolvlm.js"),N=t("./src/models/swin2sr/image_processing_swin2sr.js"),O=t("./src/models/vit/image_processing_vit.js"),G=t("./src/models/vitmatte/image_processing_vitmatte.js"),se=t("./src/models/vitpose/image_processing_vitpose.js"),X=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:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){super({do_pad:!0,pad_size:{width:o.image_size,height:o.image_size},...o}),this.constant_values=this.config.background_color.map(a=>a*this.rescale_factor)}pad_image(o,a,l,c){return super.pad_image(o,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"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/core.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/image.js");class c extends s.Processor{constructor(u,h){super(u,h),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(u,{images:h=null,chat_template:g="default"}={}){h?Array.isArray(h)||(h=[h]):h=await Promise.all(u.filter(R=>R.images).flatMap(R=>R.images).map(R=>l.RawImage.read(R)));const _=this.tokenizer,P=_.apply_chat_template(u,{tokenize:!1,add_generation_prompt:!0,chat_template:g}),A=R=>_.encode(R,{add_special_tokens:!1}),v=P.split(this.image_tag),y=v.length-1;if(h.length!==y)throw new Error(`Number of images provided (${h.length}) does not match number of "${this.image_tag}" image tags (${y})`);const[k,E,M]=_.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let w=A(v[0]),x=new Array(w.length).fill(!1);for(let R=1;R<v.length;++R){const Q=new Array(this.num_image_tokens).fill(k),q=A(v[R]);w=(0,o.mergeArrays)(w,[E],Q,[M],q);const U=new Array(this.num_image_tokens).fill(!0);x=(0,o.mergeArrays)(x,[!1],U,[!1],new Array(q.length).fill(!1))}const $=[1,w.length],z={input_ids:new a.Tensor("int64",w,$),attention_mask:new a.Tensor("int64",new Array(w.length).fill(1),$),images_seq_mask:new a.Tensor("bool",x,$),images_emb_mask:new a.Tensor("bool",new Array(y*this.num_image_tokens).fill(!0),[1,y,this.num_image_tokens])};if(h&&h.length>0){const R=await this.image_processor(h);return R.pixel_values.unsqueeze_(0),{...z,...R}}return z}}re(c,"image_processor_class",i.AutoImageProcessor),re(c,"tokenizer_class",n.AutoTokenizer),re(c,"uses_processor_config",!0)},"./src/models/jina_clip/image_processing_jina_clip.js":(e,r,t)=>{t.r(r),t.d(r,{JinaCLIPImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{constructor(o){const{resize_mode:a,fill_color:l,interpolation:c,size:p,...u}=o,h=a==="squash"?{width:p,height:p}:a==="shortest"?{shortest_edge:p}:{longest_edge:p},g=c==="bicubic"?3:2;super({...u,size:h,resample:g,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:()=>o});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");class o extends s.Processor{async _call(l=null,c=null,p={}){if(!l&&!c)throw new Error("Either text or images must be provided");const u=l?this.tokenizer(l,p):{},h=c?await this.image_processor(c,p):{};return{...u,...h}}}re(o,"tokenizer_class",n.AutoTokenizer),re(o,"image_processor_class",i.AutoImageProcessor)},"./src/models/llava_onevision/image_processing_llava_onevision.js":(e,r,t)=>{t.r(r),t.d(r,{LlavaOnevisionImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/mask2former/image_processing_mask2former.js":(e,r,t)=>{t.r(r),t.d(r,{Mask2FormerImageProcessor:()=>i});var s=t("./src/models/maskformer/image_processing_maskformer.js");class i extends s.MaskFormerImageProcessor{}},"./src/models/maskformer/image_processing_maskformer.js":(e,r,t)=>{t.r(r),t.d(r,{MaskFormerFeatureExtractor:()=>n,MaskFormerImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i 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 n extends i{}},"./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"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js"),o=t("./src/utils/maths.js");const a={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class l extends s.Processor{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,u){if(!a.hasOwnProperty(u))throw new Error(`Format ${u} is not supported.`);const[h,g]=a[u],_=this[h].bind(this),[P,A]=p.dims,v=[],y=[],k=p.tolist();for(let M=0;M<P;++M){const w=k[M],x=[],$=[];for(let R=1;R<A;++R){const[Q,q]=(0,o.max)((0,o.softmax)(w[R]));if($.push(Q),q==g)break;x.push(q)}const z=$.length>0?$.reduce((R,Q)=>R*Q,1):0;y.push(x),v.push(z)}return[_(y),v]}char_decode(p){return this.char_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}bpe_decode(p){return this.bpe_tokenizer.batch_decode(p)}wp_decode(p){return this.wp_tokenizer.batch_decode(p).map(u=>u.replaceAll(" ",""))}batch_decode([p,u,h]){const[g,_]=this._decode_helper(p,"char"),[P,A]=this._decode_helper(u,"bpe"),[v,y]=this._decode_helper(h,"wp"),k=[],E=[];for(let M=0;M<g.length;++M){const[w,x]=(0,o.max)([_[M],A[M],y[M]]);k.push([g[M],P[M],v[M]][x]),E.push(w)}return{generated_text:k,scores:E,char_preds:g,bpe_preds:P,wp_preds:v}}static async from_pretrained(...p){const u=await super.from_pretrained(...p),h=await n.AutoTokenizer.from_pretrained("Xenova/gpt2"),g=await n.AutoTokenizer.from_pretrained("Xenova/bert-base-uncased");return u.components={image_processor:u.image_processor,char_tokenizer:u.tokenizer,bpe_tokenizer:h,wp_tokenizer:g},u}async _call(p,u=null){const h=await this.image_processor(p);return u&&(h.labels=this.tokenizer(u).input_ids),h}}re(l,"tokenizer_class",n.AutoTokenizer),re(l,"image_processor_class",i.AutoImageProcessor)},"./src/models/mobilenet_v1/image_processing_mobilenet_v1.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV1FeatureExtractor:()=>n,MobileNetV1ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV2FeatureExtractor:()=>n,MobileNetV2ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v3/image_processing_mobilenet_v3.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV3FeatureExtractor:()=>n,MobileNetV3ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilenet_v4/image_processing_mobilenet_v4.js":(e,r,t)=>{t.r(r),t.d(r,{MobileNetV4FeatureExtractor:()=>n,MobileNetV4ImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/mobilevit/image_processing_mobilevit.js":(e,r,t)=>{t.r(r),t.d(r,{MobileViTFeatureExtractor:()=>n,MobileViTImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}class n extends i{}},"./src/models/moonshine/feature_extraction_moonshine.js":(e,r,t)=>{t.r(r),t.d(r,{MoonshineFeatureExtractor:()=>n});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js");class n 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 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For this call, we will infer how many images each text has and add special tokens."),P=u.map(y=>a(y,g,_,o,p.length)));const A=this.tokenizer(P,h);return{...await this.image_processor(p,h),...A}}}re(l,"tokenizer_class",n.AutoTokenizer),re(l,"image_processor_class",i.AutoImageProcessor),re(l,"uses_processor_config",!1)},"./src/models/phi3_v/image_processing_phi3_v.js":(e,r,t)=>{t.r(r),t.d(r,{Phi3VImageProcessor:()=>p});var s=t("./src/base/image_processors_utils.js"),i=t("./src/utils/tensor.js");const n=336,o=[2,3],{ceil:a,floor:l,sqrt:c}=Math;class p extends s.ImageProcessor{constructor(h){super({...h,do_normalize:!0,do_pad:!0,pad_size:"custom",do_convert_rgb:!0,do_resize:!0}),this._num_crops=h.num_crops}calc_num_image_tokens_from_image_size(h,g){const{num_img_tokens:_}=this.config;return l((l(g/n)*l(h/n)+1)*_+1+(l(g/n)+1)*c(_))}get_resize_output_image_size(h,g){const _=this._num_crops,[P,A]=h.size;let v=P/A,y=1;for(;y*Math.ceil(y/v)<=_;)y+=1;y-=1;const k=Math.floor(y*336),E=Math.floor(k/v);return[k,E]}pad_image(h,g,_,P={}){const[A,v]=g,y=n*a(A/n),k=n*a(v/n),E=[1,1,1].map((M,w)=>(M-this.image_mean[w])/this.image_std[w]);return super.pad_image(h,g,{width:k,height:y},{center:!0,constant_values:E,...P})}async _call(h,{num_crops:g=null}={}){if(this._num_crops=g??(g=this.config.num_crops),g<4||c(g)%1!==0)throw new Error("num_crops must be a square number >= 4");Array.isArray(h)||(h=[h]);const _=h.length,P=await Promise.all(h.map(x=>this.preprocess(x))),A=P.map(x=>x.original_size),v=P.map(x=>x.reshaped_input_size),y=[];for(const{pixel_values:x}of P){x.unsqueeze_(0);const[$,z]=x.dims.slice(-2),R=await(0,i.interpolate_4d)(x,{size:[n,n],mode:"bicubic"});if(g>0){const Q=[],q=c(g),U=l(z/q),Z=l($/q);for(let J=0;J<q;++J)for(let ie=0;ie<q;++ie){let ae,ce,he,N;J===q-1?(ce=$-Z,N=$):(ce=J*Z,N=(J+1)*Z),ie===q-1?(ae=z-U,he=z):(ae=ie*U,he=(ie+1)*U);const O=[ce,ae],G=[N,he],se=await(0,i.slice)(x,O,G,o);Q.push(se)}const H=await(0,i.interpolate_4d)((0,i.cat)(Q,0),{size:[n,n],mode:"bicubic"});y.push((0,i.cat)([R,H],0))}else y.push(R)}const k=(0,i.stack)(y,0),E=v.map(x=>x.map($=>n*a($/n))),M=new i.Tensor("int64",E.flat(),[_,2]),w=E.map(([x,$])=>this.calc_num_image_tokens_from_image_size($,x));return{pixel_values:k,original_sizes:A,reshaped_input_sizes:v,image_sizes:M,num_img_tokens:w}}}},"./src/models/phi3_v/processing_phi3_v.js":(e,r,t)=>{t.r(r),t.d(r,{Phi3VProcessor:()=>l});var s=t("./src/base/processing_utils.js"),i=t("./src/models/auto/image_processing_auto.js"),n=t("./src/tokenizers.js");t("./src/utils/image.js");const o="<|image|>",a=/<\|image_\d+\|>/g;class l extends s.Processor{async _call(p,u=null,{padding:h=!0,truncation:g=!0,num_crops:_=null}={}){Array.isArray(p)||(p=[p]);let P,A;if(u){A=await this.image_processor(u,{num_crops:_});const{num_img_tokens:v}=A,y=p.map((E,M)=>E.split(a).join(o.repeat(v[M])));P=this.tokenizer(y,{padding:h,truncation:g});const k=this.tokenizer.model.convert_tokens_to_ids([o])[0];P.input_ids.map_(E=>E==k?-E:E)}else P=this.tokenizer(p);return{...P,...A}}}re(l,"image_processor_class",i.AutoImageProcessor),re(l,"tokenizer_class",n.AutoTokenizer)},"./src/models/processors.js":(e,r,t)=>{t.r(r),t.d(r,{Florence2Processor:()=>s.Florence2Processor,GroundingDinoProcessor:()=>i.GroundingDinoProcessor,Idefics3Processor:()=>n.Idefics3Processor,JinaCLIPProcessor:()=>a.JinaCLIPProcessor,MgpstrProcessor:()=>l.MgpstrProcessor,MoonshineProcessor:()=>c.MoonshineProcessor,OwlViTProcessor:()=>p.OwlViTProcessor,PaliGemmaProcessor:()=>h.PaliGemmaProcessor,Phi3VProcessor:()=>u.Phi3VProcessor,PyAnnoteProcessor:()=>g.PyAnnoteProcessor,Qwen2VLProcessor:()=>_.Qwen2VLProcessor,SamProcessor:()=>P.SamProcessor,SmolVLMProcessor:()=>A.SmolVLMProcessor,SpeechT5Processor:()=>v.SpeechT5Processor,UltravoxProcessor:()=>y.UltravoxProcessor,VLChatProcessor:()=>o.VLChatProcessor,Wav2Vec2Processor:()=>k.Wav2Vec2Processor,Wav2Vec2ProcessorWithLM:()=>E.Wav2Vec2ProcessorWithLM,WhisperProcessor:()=>M.WhisperProcessor});var s=t("./src/models/florence2/processing_florence2.js"),i=t("./src/models/grounding_dino/processing_grounding_dino.js"),n=t("./src/models/idefics3/processing_idefics3.js"),o=t("./src/models/janus/processing_janus.js"),a=t("./src/models/jina_clip/processing_jina_clip.js"),l=t("./src/models/mgp_str/processing_mgp_str.js"),c=t("./src/models/moonshine/processing_moonshine.js"),p=t("./src/models/owlvit/processing_owlvit.js"),u=t("./src/models/phi3_v/processing_phi3_v.js"),h=t("./src/models/paligemma/processing_paligemma.js"),g=t("./src/models/pyannote/processing_pyannote.js"),_=t("./src/models/qwen2_vl/processing_qwen2_vl.js"),P=t("./src/models/sam/processing_sam.js"),A=t("./src/models/smolvlm/processing_smolvlm.js"),v=t("./src/models/speecht5/processing_speecht5.js"),y=t("./src/models/ultravox/processing_ultravox.js"),k=t("./src/models/wav2vec2/processing_wav2vec2.js"),E=t("./src/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.js"),M=t("./src/models/whisper/processing_whisper.js")},"./src/models/pvt/image_processing_pvt.js":(e,r,t)=>{t.r(r),t.d(r,{PvtImageProcessor:()=>i});var s=t("./src/base/image_processors_utils.js");class i extends s.ImageProcessor{}},"./src/models/pyannote/feature_extraction_pyannote.js":(e,r,t)=>{t.r(r),t.d(r,{PyAnnoteFeatureExtractor:()=>o});var s=t("./src/base/feature_extraction_utils.js"),i=t("./src/utils/tensor.js"),n=t("./src/utils/maths.js");class o extends s.FeatureExtractor{async _call(l){(0,s.validate_audio_inputs)(l,"PyAnnoteFeatureExtractor"),l instanceof Float64Array&&(l=new Float32Array(l));const c=[1,1,l.length];return{input_values:new i.Tensor("float32",l,c)}}samples_to_frames(l){return(l-this.config.offset)/this.config.step}post_process_speaker_diarization(l,c){const p=c/this.samples_to_frames(c)/this.config.sampling_rate,u=[];for(const h of l.tolist()){const g=[];let _=-1;for(let P=0;P<h.length;++P){const 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if(h.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 g=0;g<l.length;++g){let _=c[g],P=p[g],A=[P[0]/_[0],P[1]/_[1]];for(let v=0;v<l[g].length;++v)for(let y=0;y<l[g][v].length;++y)for(let k=0;k<l[g][v][y].length;++k)l[g][v][y][k]*=A[k%2]}return new n.Tensor("float32",Float32Array.from(l.flat(1/0)),h)}add_input_labels(l,c){let p=(0,i.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((u,h)=>u!==c.dims[h]))throw Error(`The first ${p.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new n.Tensor("int64",l.flat(1/0).map(BigInt),p)}async _call(l,{input_points:c=null,input_labels:p=null,input_boxes:u=null}={}){const h=await super._call(l);if(c&&(h.input_points=this.reshape_input_points(c,h.original_sizes,h.reshaped_input_sizes)),p){if(!h.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");h.input_labels=this.add_input_labels(p,h.input_points)}return u&&(h.input_boxes=this.reshape_input_points(u,h.original_sizes,h.reshaped_input_sizes,!0)),h}async post_process_masks(l,c,p,{mask_threshold:u=0,binarize:h=!0,pad_size:g=null}={}){const _=[];g=g??this.pad_size;const P=[g.height,g.width];for(let A=0;A<c.length;++A){const v=c[A],y=p[A];let k=await(0,n.interpolate_4d)(l[A],{mode:"bilinear",size:P});if(k=k.slice(null,null,[0,y[0]],[0,y[1]]),k=await(0,n.interpolate_4d)(k,{mode:"bilinear",size:v}),h){const E=k.data,M=new Uint8Array(E.length);for(let w=0;w<E.length;++w)E[w]>u&&(M[w]=1);k=new n.Tensor("bool",M,k.dims)}_.push(k)}return 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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 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P=(0,s.isONNXProxy)(),A=Object.fromEntries(Object.entries(_).map(([y,k])=>[y,(P?k.clone():k).ort_tensor])),v=await(g=o?g.then(()=>h.run(A)):h.run(A));return Array.isArray(u)?u.map(y=>new i.Tensor(v[y])):new i.Tensor(v[u])}};class l{static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=a([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=a([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=a([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=a([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=a([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=a([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=a([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=a([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}}re(l,"session_options",{})},"./src/pipelines.js":(e,r,t)=>{t.r(r),t.d(r,{AudioClassificationPipeline:()=>q,AutomaticSpeechRecognitionPipeline:()=>Z,BackgroundRemovalPipeline:()=>ae,DepthEstimationPipeline:()=>X,DocumentQuestionAnsweringPipeline:()=>O,FeatureExtractionPipeline:()=>R,FillMaskPipeline:()=>k,ImageClassificationPipeline:()=>J,ImageFeatureExtractionPipeline:()=>Q,ImageSegmentationPipeline:()=>ie,ImageToImagePipeline:()=>se,ImageToTextPipeline:()=>H,ObjectDetectionPipeline:()=>he,Pipeline:()=>P,QuestionAnsweringPipeline:()=>y,SummarizationPipeline:()=>M,Text2TextGenerationPipeline:()=>E,TextClassificationPipeline:()=>A,TextGenerationPipeline:()=>$,TextToAudioPipeline:()=>G,TokenClassificationPipeline:()=>v,TranslationPipeline:()=>w,ZeroShotAudioClassificationPipeline:()=>U,ZeroShotClassificationPipeline:()=>z,ZeroShotImageClassificationPipeline:()=>ce,ZeroShotObjectDetectionPipeline:()=>N,pipeline:()=>ke});var s=t("./src/tokenizers.js"),i=t("./src/models.js"),n=t("./src/models/auto/processing_auto.js");t("./src/base/processing_utils.js");var o=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"),u=t("./src/utils/image.js");async function h(Me){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(K=>u.RawImage.read(K)))}async function g(Me,K){return Array.isArray(Me)||(Me=[Me]),await Promise.all(Me.map(j=>typeof j=="string"||j instanceof URL?(0,c.read_audio)(j,K):j instanceof Float64Array?new Float32Array(j):j))}function _(Me,K){K&&(Me=Me.map(Ae=>Ae|0));const[j,me,Pe,xe]=Me;return{xmin:j,ymin:me,xmax:Pe,ymax:xe}}class P extends o.Callable{constructor({task:K,model:j,tokenizer:me=null,processor:Pe=null}){super(),this.task=K,this.model=j,this.tokenizer=me,this.processor=Pe}async dispose(){await this.model.dispose()}}class A extends P{constructor(K){super(K)}async _call(K,{top_k:j=1}={}){const me=this.tokenizer(K,{padding:!0,truncation:!0}),Pe=await this.model(me),xe=this.model.config.problem_type==="multi_label_classification"?Le=>Le.sigmoid():Le=>new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),Ae=this.model.config.id2label,Ie=[];for(const Le of Pe.logits){const Ne=xe(Le),We=await(0,p.topk)(Ne,j),D=We[0].tolist(),B=We[1].tolist().map((te,de)=>({label:Ae?Ae[te]:`LABEL_${te}`,score:D[de]}));j===1?Ie.push(...B):Ie.push(B)}return Array.isArray(K)||j===1?Ie:Ie[0]}}class v extends P{constructor(K){super(K)}async _call(K,{ignore_labels:j=["O"]}={}){const me=Array.isArray(K),Pe=this.tokenizer(me?K:[K],{padding:!0,truncation:!0}),Ae=(await this.model(Pe)).logits,Ie=this.model.config.id2label,Le=[];for(let Ne=0;Ne<Ae.dims[0];++Ne){const We=Pe.input_ids[Ne],D=Ae[Ne],ee=[];for(let B=0;B<D.dims[0];++B){const te=D[B],de=(0,l.max)(te.data)[1],be=Ie?Ie[de]:`LABEL_${de}`;if(j.includes(be))continue;const ve=this.tokenizer.decode([We[B].item()],{skip_special_tokens:!0});if(ve==="")continue;const Re=(0,l.softmax)(te.data);ee.push({entity:be,score:Re[de],index:B,word:ve})}Le.push(ee)}return me?Le:Le[0]}}class y extends P{constructor(K){super(K)}async _call(K,j,{top_k:me=1}={}){const Pe=this.tokenizer(K,{text_pair:j,padding:!0,truncation:!0}),{start_logits:xe,end_logits:Ae}=await this.model(Pe),Ie=Pe.input_ids.tolist(),Le=Pe.attention_mask.tolist(),Ne=this.tokenizer.all_special_ids,We=[];for(let D=0;D<xe.dims[0];++D){const ee=Ie[D],B=ee.findIndex(Fe=>Fe==this.tokenizer.sep_token_id);Le[D].map((Fe,je)=>Fe==1&&(je===0||je>B&&Ne.findIndex(qe=>qe==ee[je])===-1));const te=xe[D].tolist(),de=Ae[D].tolist();for(let Fe=1;Fe<te.length;++Fe)(Le[D]==0||Fe<=B||Ne.findIndex(je=>je==ee[Fe])!==-1)&&(te[Fe]=-1/0,de[Fe]=-1/0);const be=(0,l.softmax)(te).map((Fe,je)=>[Fe,je]),ve=(0,l.softmax)(de).map((Fe,je)=>[Fe,je]);be[0][0]=0,ve[0][0]=0;const Re=(0,a.product)(be,ve).filter(Fe=>Fe[0][1]<=Fe[1][1]).map(Fe=>[Fe[0][1],Fe[1][1],Fe[0][0]*Fe[1][0]]).sort((Fe,je)=>je[2]-Fe[2]);for(let Fe=0;Fe<Math.min(Re.length,me);++Fe){const[je,qe,Xe]=Re[Fe],ut=ee.slice(je,qe+1),wt=this.tokenizer.decode(ut,{skip_special_tokens:!0});We.push({answer:wt,score:Xe})}}return me===1?We[0]:We}}class k extends P{constructor(K){super(K)}async _call(K,{top_k:j=5}={}){const me=this.tokenizer(K,{padding:!0,truncation:!0}),{logits:Pe}=await this.model(me),xe=[],Ae=me.input_ids.tolist();for(let Ie=0;Ie<Ae.length;++Ie){const Le=Ae[Ie],Ne=Le.findIndex(te=>te==this.tokenizer.mask_token_id);if(Ne===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const We=Pe[Ie][Ne],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(We.data),We.dims),j),ee=D[0].tolist(),B=D[1].tolist();xe.push(B.map((te,de)=>{const be=Le.slice();return be[Ne]=te,{score:ee[de],token:Number(te),token_str:this.tokenizer.decode([te]),sequence:this.tokenizer.decode(be,{skip_special_tokens:!0})}}))}return Array.isArray(K)?xe:xe[0]}}class E extends P{constructor(j){super(j);re(this,"_key","generated_text")}async _call(j,me={}){Array.isArray(j)||(j=[j]),this.model.config.prefix&&(j=j.map(Ne=>this.model.config.prefix+Ne));const Pe=this.model.config.task_specific_params;Pe&&Pe[this.task]&&Pe[this.task].prefix&&(j=j.map(Ne=>Pe[this.task].prefix+Ne));const xe=this.tokenizer,Ae={padding:!0,truncation:!0};let Ie;this instanceof w&&"_build_translation_inputs"in xe?Ie=xe._build_translation_inputs(j,Ae,me):Ie=xe(j,Ae);const Le=await this.model.generate({...Ie,...me});return xe.batch_decode(Le,{skip_special_tokens:!0}).map(Ne=>({[this._key]:Ne}))}}class M extends E{constructor(j){super(j);re(this,"_key","summary_text")}}class w extends E{constructor(j){super(j);re(this,"_key","translation_text")}}function x(Me){return Array.isArray(Me)&&Me.every(K=>"role"in K&&"content"in K)}class $ extends P{constructor(K){super(K)}async _call(K,j={}){let me=!1,Pe=!1,xe;if(typeof K=="string")xe=K=[K];else if(Array.isArray(K)&&K.every(B=>typeof B=="string"))me=!0,xe=K;else{if(x(K))K=[K];else if(Array.isArray(K)&&K.every(x))me=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");Pe=!0,xe=K.map(B=>this.tokenizer.apply_chat_template(B,{tokenize:!1,add_generation_prompt:!0}))}const Ae=j.add_special_tokens??!1,Ie=Pe?!1:j.return_full_text??!0;this.tokenizer.padding_side="left";const Le=this.tokenizer(xe,{add_special_tokens:Ae,padding:!0,truncation:!0}),Ne=await this.model.generate({...Le,...j}),We=this.tokenizer.batch_decode(Ne,{skip_special_tokens:!0});let D;!Ie&&Le.input_ids.dims.at(-1)>0&&(D=this.tokenizer.batch_decode(Le.input_ids,{skip_special_tokens:!0}).map(B=>B.length));const ee=Array.from({length:K.length},B=>[]);for(let B=0;B<We.length;++B){const te=Math.floor(B/Ne.dims[0]*K.length);D&&(We[B]=We[B].slice(D[te])),ee[te].push({generated_text:Pe?[...K[te],{role:"assistant",content:We[B]}]:We[B]})}return!me&&ee.length===1?ee[0]:ee}}class z extends P{constructor(K){super(K),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([j,me])=>[j.toLowerCase(),me])),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(K,j,{hypothesis_template:me="This example is {}.",multi_label:Pe=!1}={}){const xe=Array.isArray(K);xe||(K=[K]),Array.isArray(j)||(j=[j]);const Ae=j.map(Ne=>me.replace("{}",Ne)),Ie=Pe||j.length===1,Le=[];for(const Ne of K){const We=[];for(const B of Ae){const te=this.tokenizer(Ne,{text_pair:B,padding:!0,truncation:!0}),de=await this.model(te);Ie?We.push([de.logits.data[this.contradiction_id],de.logits.data[this.entailment_id]]):We.push(de.logits.data[this.entailment_id])}const ee=(Ie?We.map(B=>(0,l.softmax)(B)[1]):(0,l.softmax)(We)).map((B,te)=>[B,te]).sort((B,te)=>te[0]-B[0]);Le.push({sequence:Ne,labels:ee.map(B=>j[B[1]]),scores:ee.map(B=>B[0])})}return xe?Le:Le[0]}}class R extends P{constructor(K){super(K)}async _call(K,{pooling:j="none",normalize:me=!1,quantize:Pe=!1,precision:xe="binary"}={}){const Ae=this.tokenizer(K,{padding:!0,truncation:!0}),Ie=await this.model(Ae);let Le=Ie.last_hidden_state??Ie.logits??Ie.token_embeddings;if(j!=="none")if(j==="mean")Le=(0,p.mean_pooling)(Le,Ae.attention_mask);else if(j==="cls")Le=Le.slice(null,0);else throw Error(`Pooling method '${j}' not supported.`);return me&&(Le=Le.normalize(2,-1)),Pe&&(Le=(0,p.quantize_embeddings)(Le,xe)),Le}}class Q extends P{constructor(K){super(K)}async _call(K,{pool:j=null}={}){const me=await h(K),{pixel_values:Pe}=await this.processor(me),xe=await this.model({pixel_values:Pe});let Ae;if(j){if(!("pooler_output"in xe))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");Ae=xe.pooler_output}else Ae=xe.last_hidden_state??xe.logits??xe.image_embeds;return Ae}}class q extends P{constructor(K){super(K)}async _call(K,{top_k:j=5}={}){const me=this.processor.feature_extractor.config.sampling_rate,Pe=await g(K,me),xe=this.model.config.id2label,Ae=[];for(const Ie of Pe){const Le=await this.processor(Ie),We=(await this.model(Le)).logits[0],D=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(We.data),We.dims),j),ee=D[0].tolist(),te=D[1].tolist().map((de,be)=>({label:xe?xe[de]:`LABEL_${de}`,score:ee[be]}));Ae.push(te)}return Array.isArray(K)?Ae:Ae[0]}}class U extends P{constructor(K){super(K)}async _call(K,j,{hypothesis_template:me="This is a sound of {}."}={}){const Pe=!Array.isArray(K);Pe&&(K=[K]);const xe=j.map(We=>me.replace("{}",We)),Ae=this.tokenizer(xe,{padding:!0,truncation:!0}),Ie=this.processor.feature_extractor.config.sampling_rate,Le=await g(K,Ie),Ne=[];for(const We of Le){const D=await this.processor(We),ee=await this.model({...Ae,...D}),B=(0,l.softmax)(ee.logits_per_audio.data);Ne.push([...B].map((te,de)=>({score:te,label:j[de]})))}return Pe?Ne[0]:Ne}}class Z extends P{constructor(K){super(K)}async _call(K,j={}){switch(this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(K,j);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(K,j);case"moonshine":return this._call_moonshine(K,j);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(K,j){j.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),j.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const me=!Array.isArray(K);me&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,xe=await g(K,Pe),Ae=[];for(const Ie of xe){const Le=await this.processor(Ie),We=(await this.model(Le)).logits[0],D=[];for(const B of We)D.push((0,l.max)(B.data)[1]);const ee=this.tokenizer.decode(D);Ae.push({text:ee})}return me?Ae[0]:Ae}async _call_whisper(K,j){const me=j.return_timestamps??!1,Pe=j.chunk_length_s??0,xe=j.force_full_sequences??!1;let Ae=j.stride_length_s??null;const Ie={...j};me==="word"&&(Ie.return_token_timestamps=!0,Ie.return_timestamps=!1);const Le=!Array.isArray(K);Le&&(K=[K]);const Ne=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,We=this.processor.feature_extractor.config.hop_length,D=this.processor.feature_extractor.config.sampling_rate,ee=await g(K,D),B=[];for(const te of ee){let de=[];if(Pe>0){if(Ae===null)Ae=Pe/6;else if(Pe<=Ae)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const Re=D*Pe,Fe=D*Ae,je=Re-2*Fe;let qe=0;for(;;){const Xe=qe+Re,ut=te.subarray(qe,Xe),wt=await this.processor(ut),nr=qe===0,jt=Xe>=te.length;if(de.push({stride:[ut.length,nr?0:Fe,jt?0:Fe],input_features:wt.input_features,is_last:jt}),jt)break;qe+=je}}else de=[{stride:[te.length,0,0],input_features:(await this.processor(te)).input_features,is_last:!0}];for(const Re of de){Ie.num_frames=Math.floor(Re.stride[0]/We);const Fe=await this.model.generate({inputs:Re.input_features,...Ie});me==="word"?(Re.tokens=Fe.sequences.tolist()[0],Re.token_timestamps=Fe.token_timestamps.tolist()[0].map(je=>(0,l.round)(je,2))):Re.tokens=Fe[0].tolist(),Re.stride=Re.stride.map(je=>je/D)}const[be,ve]=this.tokenizer._decode_asr(de,{time_precision:Ne,return_timestamps:me,force_full_sequences:xe});B.push({text:be,...ve})}return Le?B[0]:B}async _call_moonshine(K,j){const me=!Array.isArray(K);me&&(K=[K]);const Pe=this.processor.feature_extractor.config.sampling_rate,xe=await g(K,Pe),Ae=[];for(const Ie of xe){const Le=await this.processor(Ie),Ne=Math.floor(Ie.length/Pe)*6,We=await this.model.generate({max_new_tokens:Ne,...j,...Le}),D=this.processor.batch_decode(We,{skip_special_tokens:!0})[0];Ae.push({text:D})}return me?Ae[0]:Ae}}class H extends P{constructor(K){super(K)}async _call(K,j={}){const me=Array.isArray(K),Pe=await h(K),{pixel_values:xe}=await this.processor(Pe),Ae=[];for(const Ie of xe){Ie.dims=[1,...Ie.dims];const Le=await this.model.generate({inputs:Ie,...j}),Ne=this.tokenizer.batch_decode(Le,{skip_special_tokens:!0}).map(We=>({generated_text:We.trim()}));Ae.push(Ne)}return me?Ae:Ae[0]}}class J extends P{constructor(K){super(K)}async _call(K,{top_k:j=5}={}){const me=await h(K),{pixel_values:Pe}=await this.processor(me),xe=await this.model({pixel_values:Pe}),Ae=this.model.config.id2label,Ie=[];for(const Le of xe.logits){const Ne=await(0,p.topk)(new p.Tensor("float32",(0,l.softmax)(Le.data),Le.dims),j),We=Ne[0].tolist(),ee=Ne[1].tolist().map((B,te)=>({label:Ae?Ae[B]:`LABEL_${B}`,score:We[te]}));Ie.push(ee)}return Array.isArray(K)?Ie:Ie[0]}}class ie extends P{constructor(K){super(K),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(K,{threshold:j=.5,mask_threshold:me=.5,overlap_mask_area_threshold:Pe=.8,label_ids_to_fuse:xe=null,target_sizes:Ae=null,subtask:Ie=null}={}){if(Array.isArray(K)&&K.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const Ne=await h(K),We=Ne.map(Re=>[Re.height,Re.width]),D=await this.processor(Ne),{inputNames:ee,outputNames:B}=this.model.sessions.model;if(!ee.includes("pixel_values")){if(ee.length!==1)throw Error(`Expected a single input name, but got ${ee.length} inputs: ${ee}.`);const Re=ee[0];if(Re in D)throw Error(`Input name ${Re} already exists in the inputs.`);D[Re]=D.pixel_values}const te=await this.model(D);let de=null;if(Ie!==null)de=this.subtasks_mapping[Ie];else if(this.processor.image_processor){for(const[Re,Fe]of Object.entries(this.subtasks_mapping))if(Fe in this.processor.image_processor){de=this.processor.image_processor[Fe].bind(this.processor.image_processor),Ie=Re;break}}const be=this.model.config.id2label,ve=[];if(Ie)if(Ie==="panoptic"||Ie==="instance"){const Re=de(te,j,me,Pe,xe,Ae??We)[0],Fe=Re.segmentation;for(const je of Re.segments_info){const qe=new Uint8ClampedArray(Fe.data.length);for(let ut=0;ut<Fe.data.length;++ut)Fe.data[ut]===je.id&&(qe[ut]=255);const Xe=new u.RawImage(qe,Fe.dims[1],Fe.dims[0],1);ve.push({score:je.score,label:be[je.label_id],mask:Xe})}}else if(Ie==="semantic"){const{segmentation:Re,labels:Fe}=de(te,Ae??We)[0];for(const je of Fe){const qe=new Uint8ClampedArray(Re.data.length);for(let ut=0;ut<Re.data.length;++ut)Re.data[ut]===je&&(qe[ut]=255);const Xe=new u.RawImage(qe,Re.dims[1],Re.dims[0],1);ve.push({score:null,label:be[je],mask:Xe})}}else throw Error(`Subtask ${Ie} not supported.`);else{const Fe=te[B[0]];for(let je=0;je<We.length;++je){const qe=We[je],Xe=Fe[je];Xe.data.some(wt=>wt<-1e-5||wt>1+1e-5)&&Xe.sigmoid_();const ut=await u.RawImage.fromTensor(Xe.mul_(255).to("uint8")).resize(qe[1],qe[0]);ve.push({label:null,score:null,mask:ut})}}return ve}}class ae extends ie{constructor(K){super(K)}async _call(K,j={}){if(Array.isArray(K)&&K.length!==1)throw Error("Background removal pipeline currently only supports a batch size of 1.");const Pe=await h(K),xe=await super._call(K,j);return Pe.map((Ie,Le)=>{const Ne=Ie.clone();return Ne.putAlpha(xe[Le].mask),Ne})}}class ce extends P{constructor(K){super(K)}async _call(K,j,{hypothesis_template:me="This is a photo of {}"}={}){const Pe=Array.isArray(K),xe=await h(K),Ae=j.map(ee=>me.replace("{}",ee)),Ie=this.tokenizer(Ae,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:Le}=await this.processor(xe),Ne=await this.model({...Ie,pixel_values:Le}),We=this.model.config.model_type==="siglip"?ee=>ee.sigmoid().data:ee=>(0,l.softmax)(ee.data),D=[];for(const ee of Ne.logits_per_image){const te=[...We(ee)].map((de,be)=>({score:de,label:j[be]}));te.sort((de,be)=>be.score-de.score),D.push(te)}return Pe?D:D[0]}}class he extends P{constructor(K){super(K)}async _call(K,{threshold:j=.9,percentage:me=!1}={}){const Pe=Array.isArray(K);if(Pe&&K.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const xe=await h(K),Ae=me?null:xe.map(B=>[B.height,B.width]),{pixel_values:Ie,pixel_mask:Le}=await this.processor(xe),Ne=await this.model({pixel_values:Ie,pixel_mask:Le}),We=this.processor.image_processor.post_process_object_detection(Ne,j,Ae),D=this.model.config.id2label,ee=We.map(B=>B.boxes.map((te,de)=>({score:B.scores[de],label:D[B.classes[de]],box:_(te,!me)})));return Pe?ee:ee[0]}}class N extends P{constructor(K){super(K)}async _call(K,j,{threshold:me=.1,top_k:Pe=null,percentage:xe=!1}={}){const Ae=Array.isArray(K),Ie=await h(K),Le=this.tokenizer(j,{padding:!0,truncation:!0}),Ne=await this.processor(Ie),We=[];for(let D=0;D<Ie.length;++D){const ee=Ie[D],B=xe?null:[[ee.height,ee.width]],te=Ne.pixel_values[D].unsqueeze_(0),de=await this.model({...Le,pixel_values:te});let be;if("post_process_grounded_object_detection"in this.processor){const ve=this.processor.post_process_grounded_object_detection(de,Le.input_ids,{box_threshold:me,text_threshold:me,target_sizes:B})[0];be=ve.boxes.map((Re,Fe)=>({score:ve.scores[Fe],label:ve.labels[Fe],box:_(Re,!xe)}))}else{const ve=this.processor.image_processor.post_process_object_detection(de,me,B,!0)[0];be=ve.boxes.map((Re,Fe)=>({score:ve.scores[Fe],label:j[ve.classes[Fe]],box:_(Re,!xe)}))}be.sort((ve,Re)=>Re.score-ve.score),Pe!==null&&(be=be.slice(0,Pe)),We.push(be)}return Ae?We:We[0]}}class O extends P{constructor(K){super(K)}async _call(K,j,me={}){const Pe=(await h(K))[0],{pixel_values:xe}=await this.processor(Pe),Ae=`<s_docvqa><s_question>${j}</s_question><s_answer>`,Ie=this.tokenizer(Ae,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,Le=await this.model.generate({inputs:xe,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:Ie,...me}),We=this.tokenizer.batch_decode(Le)[0].match(/<s_answer>(.*?)<\/s_answer>/);let D=null;return We&&We.length>=2&&(D=We[1].trim()),[{answer:D}]}}class G extends P{constructor(j){super(j);re(this,"DEFAULT_VOCODER_ID","Xenova/speecht5_hifigan");this.vocoder=j.vocoder??null}async _call(j,{speaker_embeddings:me=null}={}){return this.processor?this._call_text_to_spectrogram(j,{speaker_embeddings:me}):this._call_text_to_waveform(j)}async _call_text_to_waveform(j){const me=this.tokenizer(j,{padding:!0,truncation:!0}),{waveform:Pe}=await this.model(me),xe=this.model.config.sampling_rate;return new c.RawAudio(Pe.data,xe)}async _call_text_to_spectrogram(j,{speaker_embeddings:me}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await i.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof me=="string"||me instanceof URL)&&(me=new Float32Array(await(await fetch(me)).arrayBuffer())),me instanceof Float32Array)me=new p.Tensor("float32",me,[1,me.length]);else if(!(me instanceof p.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:Pe}=this.tokenizer(j,{padding:!0,truncation:!0}),{waveform:xe}=await this.model.generate_speech(Pe,me,{vocoder:this.vocoder}),Ae=this.processor.feature_extractor.config.sampling_rate;return new c.RawAudio(xe.data,Ae)}}class se extends P{constructor(K){super(K)}async _call(K){const j=await h(K),me=await this.processor(j),Pe=await this.model(me),xe=[];for(const Ae of Pe.reconstruction){const Ie=Ae.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");xe.push(u.RawImage.fromTensor(Ie))}return xe.length>1?xe:xe[0]}}class X extends P{constructor(K){super(K)}async _call(K){const j=await h(K),me=await this.processor(j),{predicted_depth:Pe}=await this.model(me),xe=[];for(let Ae=0;Ae<j.length;++Ae){const Ie=Pe[Ae],[Le,Ne]=Ie.dims.slice(-2),[We,D]=j[Ae].size,ee=(await(0,p.interpolate_4d)(Ie.view(1,1,Le,Ne),{size:[D,We],mode:"bilinear"})).view(D,We),B=ee.min().item(),te=ee.max().item(),de=ee.sub(B).div_(te-B).mul_(255).to("uint8").unsqueeze(0),be=u.RawImage.fromTensor(de);xe.push({predicted_depth:ee,depth:be})}return xe.length>1?xe:xe[0]}}const we=Object.freeze({"text-classification":{tokenizer:s.AutoTokenizer,pipeline:A,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:s.AutoTokenizer,pipeline:v,model:i.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:s.AutoTokenizer,pipeline:y,model:i.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:s.AutoTokenizer,pipeline:k,model:i.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:s.AutoTokenizer,pipeline:M,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:s.AutoTokenizer,pipeline:w,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:s.AutoTokenizer,pipeline:E,model:i.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:s.AutoTokenizer,pipeline:$,model:i.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:s.AutoTokenizer,pipeline:z,model:i.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:q,model:i.AutoModelForAudioClassification,processor:n.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:s.AutoTokenizer,pipeline:U,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:s.AutoTokenizer,pipeline:Z,model:[i.AutoModelForSpeechSeq2Seq,i.AutoModelForCTC],processor:n.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:s.AutoTokenizer,pipeline:G,model:[i.AutoModelForTextToWaveform,i.AutoModelForTextToSpectrogram],processor:[n.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:s.AutoTokenizer,pipeline:H,model:i.AutoModelForVision2Seq,processor:n.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:J,model:i.AutoModelForImageClassification,processor:n.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ie,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"background-removal":{pipeline:ae,model:[i.AutoModelForImageSegmentation,i.AutoModelForSemanticSegmentation,i.AutoModelForUniversalSegmentation],processor:n.AutoProcessor,default:{model:"Xenova/modnet"},type:"image"},"zero-shot-image-classification":{tokenizer:s.AutoTokenizer,pipeline:ce,model:i.AutoModel,processor:n.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:he,model:i.AutoModelForObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:s.AutoTokenizer,pipeline:N,model:i.AutoModelForZeroShotObjectDetection,processor:n.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:s.AutoTokenizer,pipeline:O,model:i.AutoModelForDocumentQuestionAnswering,processor:n.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:se,model:i.AutoModelForImageToImage,processor:n.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:X,model:i.AutoModelForDepthEstimation,processor:n.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:s.AutoTokenizer,pipeline:R,model:i.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:n.AutoProcessor,pipeline:Q,model:[i.AutoModelForImageFeatureExtraction,i.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),_e=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(Me,K=null,{progress_callback:j=null,config:me=null,cache_dir:Pe=null,local_files_only:xe=!1,revision:Ae="main",device:Ie=null,dtype:Le=null,subfolder:Ne="onnx",use_external_data_format:We=null,model_file_name:D=null,session_options:ee={}}={}){Me=_e[Me]??Me;const B=we[Me.split("_",1)[0]];if(!B)throw Error(`Unsupported pipeline: ${Me}. 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Using default model: "${K}".`));const te={progress_callback:j,config:me,cache_dir:Pe,local_files_only:xe,revision:Ae,device:Ie,dtype:Le,subfolder:Ne,use_external_data_format:We,model_file_name:D,session_options:ee},de=new Map([["tokenizer",B.tokenizer],["model",B.model],["processor",B.processor]]),be=await He(de,K,te);be.task=Me,(0,a.dispatchCallback)(j,{status:"ready",task:Me,model:K});const ve=B.pipeline;return new ve(be)}async function He(Me,K,j){const me=Object.create(null),Pe=[];for(const[xe,Ae]of Me.entries()){if(!Ae)continue;let Ie;Array.isArray(Ae)?Ie=new Promise(async(Le,Ne)=>{var D,ee;let We;for(const B of Ae){if(B===null){Le(null);return}try{Le(await B.from_pretrained(K,j));return}catch(te){if((D=te.message)!=null&&D.includes("Unsupported model type"))We=te;else if((ee=te.message)!=null&&ee.includes("Could not locate file"))We=te;else{Ne(te);return}}}Ne(We)}):Ie=Ae.from_pretrained(K,j),me[xe]=Ie,Pe.push(Ie)}await Promise.all(Pe);for(const[xe,Ae]of Object.entries(me))me[xe]=await Ae;return me}},"./src/tokenizers.js":(e,r,t)=>{t.r(r),t.d(r,{AlbertTokenizer:()=>Vr,AutoTokenizer:()=>Cn,BartTokenizer:()=>hs,BertTokenizer:()=>qr,BlenderbotSmallTokenizer:()=>Jr,BlenderbotTokenizer:()=>Ar,BloomTokenizer:()=>Qr,CLIPTokenizer:()=>xn,CamembertTokenizer:()=>it,CodeGenTokenizer:()=>Xr,CodeLlamaTokenizer:()=>Xs,CohereTokenizer:()=>Pn,ConvBertTokenizer:()=>mr,DebertaTokenizer:()=>xs,DebertaV2Tokenizer:()=>Es,DistilBertTokenizer:()=>et,ElectraTokenizer:()=>zt,EsmTokenizer:()=>en,FalconTokenizer:()=>_s,GPT2Tokenizer:()=>ps,GPTNeoXTokenizer:()=>Zs,GemmaTokenizer:()=>Lr,Grok1Tokenizer:()=>Cs,HerbertTokenizer:()=>Ls,LlamaTokenizer:()=>Qs,M2M100Tokenizer:()=>Bs,MBart50Tokenizer:()=>ms,MBartTokenizer:()=>Er,MPNetTokenizer:()=>Ys,MarianTokenizer:()=>En,MgpstrTokenizer:()=>Ss,MobileBertTokenizer:()=>us,NllbTokenizer:()=>zs,NougatTokenizer:()=>fr,PreTrainedTokenizer:()=>dt,Qwen2Tokenizer:()=>tn,RoFormerTokenizer:()=>Be,RobertaTokenizer:()=>fs,SiglipTokenizer:()=>zr,SpeechT5Tokenizer:()=>cr,SqueezeBertTokenizer:()=>Ts,T5Tokenizer:()=>kr,TokenizerModel:()=>Q,VitsTokenizer:()=>Ns,Wav2Vec2CTCTokenizer:()=>Rs,WhisperTokenizer:()=>Ir,XLMRobertaTokenizer:()=>Js,XLMTokenizer:()=>rr,is_chinese_char:()=>k});var s=t("./src/utils/generic.js"),i=t("./src/utils/core.js"),n=t("./src/utils/hub.js"),o=t("./src/utils/maths.js"),a=t("./src/utils/tensor.js"),l=t("./src/utils/data-structures.js"),c=t("./node_modules/@huggingface/jinja/dist/index.js"),p=t("./src/models/whisper/common_whisper.js");async function u(pe,F){const V=await Promise.all([(0,n.getModelJSON)(pe,"tokenizer.json",!0,F),(0,n.getModelJSON)(pe,"tokenizer_config.json",!0,F)]);return F.legacy!==null&&(V[1].legacy=F.legacy),V}function h(pe,F){const V=[];let Y=0;for(const le of pe.matchAll(F)){const ue=le[0];Y<le.index&&V.push(pe.slice(Y,le.index)),ue.length>0&&V.push(ue),Y=le.index+ue.length}return Y<pe.length&&V.push(pe.slice(Y)),V}function g(pe,F=!0){if(pe.Regex!==void 0){let V=pe.Regex.replace(/\\([#&~])/g,"$1");for(const[Y,le]of z)V=V.replaceAll(Y,le);return new RegExp(V,"gu")}else if(pe.String!==void 0){const V=(0,i.escapeRegExp)(pe.String);return new RegExp(F?V:`(${V})`,"gu")}else return console.warn("Unknown pattern type:",pe),null}function _(pe){return new Map(Object.entries(pe))}function P(pe){const F=pe.dims;switch(F.length){case 1:return pe.tolist();case 2:if(F[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. 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w="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",x=new RegExp(`^[${w}]+$`,"gu"),$=".,!?…。，、।۔،",z=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"],[` ?[^(\\s|[${$}])]+`,` ?[^\\s${$}]+`]]);class R{constructor(F){this.content=F.content,this.id=F.id,this.single_word=F.single_word??!1,this.lstrip=F.lstrip??!1,this.rstrip=F.rstrip??!1,this.special=F.special??!1,this.normalized=F.normalized??null}}class Q extends s.Callable{constructor(F){super(),this.config=F,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(F,...V){switch(F.type){case"WordPiece":return new q(F);case"Unigram":return new U(F,...V);case"BPE":return new J(F);default:if(F.vocab)return Array.isArray(F.vocab)?new U(F,...V):typeof F.vocab=="object"&&F.continuing_subword_prefix&&F.unk_token?new q(F):new ie(F,...V);throw new Error(`Unknown TokenizerModel type: ${F.type}`)}}_call(F){return F=this.encode(F),this.fuse_unk&&(F=E(F,this.tokens_to_ids,this.unk_token_id)),F}encode(F){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(F){return F.map(V=>this.tokens_to_ids.get(V)??this.unk_token_id)}convert_ids_to_tokens(F){return F.map(V=>this.vocab[V]??this.unk_token)}}class q extends Q{constructor(F){super(F),this.tokens_to_ids=_(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.max_input_chars_per_word=F.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[V,Y]of this.tokens_to_ids)this.vocab[Y]=V}encode(F){const V=[];for(const Y of F){const le=[...Y];if(le.length>this.max_input_chars_per_word){V.push(this.unk_token);continue}let ue=!1,Ce=0;const Ue=[];for(;Ce<le.length;){let Qe=le.length,Ke=null;for(;Ce<Qe;){let Ze=le.slice(Ce,Qe).join("");if(Ce>0&&(Ze=this.config.continuing_subword_prefix+Ze),this.tokens_to_ids.has(Ze)){Ke=Ze;break}--Qe}if(Ke===null){ue=!0;break}Ue.push(Ke),Ce=Qe}ue?V.push(this.unk_token):V.push(...Ue)}return V}}class U extends Q{constructor(F,V){super(F);const Y=F.vocab.length;this.vocab=new Array(Y),this.scores=new Array(Y);for(let le=0;le<Y;++le)[this.vocab[le],this.scores[le]]=F.vocab[le];this.unk_token_id=F.unk_id,this.unk_token=this.vocab[F.unk_id],this.tokens_to_ids=new Map(this.vocab.map((le,ue)=>[le,ue])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=V.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,o.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(F){const V=F.chars,Y=1;let le=0;for(;le<V.length;){let ue=!1;const Ce=V.slice(le).join(""),Ue=this.trie.commonPrefixSearch(Ce);for(const Qe of Ue){const Ke=this.tokens_to_ids.get(Qe),Ze=this.scores[Ke],ht=(0,i.len)(Qe);F.insert(le,ht,Ze,Ke),!ue&&ht===Y&&(ue=!0)}ue||F.insert(le,Y,this.unk_score,this.unk_token_id),le+=Y}}tokenize(F){const V=new l.TokenLattice(F,this.bos_token_id,this.eos_token_id);return this.populateNodes(V),V.tokens()}encode(F){const V=[];for(const Y of F){const le=this.tokenize(Y);V.push(...le)}return V}}const Z=(()=>{const pe=[...Array.from({length:94},(le,ue)=>ue+33),...Array.from({length:12},(le,ue)=>ue+161),...Array.from({length:82},(le,ue)=>ue+174)],F=pe.slice();let V=0;for(let le=0;le<256;++le)pe.includes(le)||(pe.push(le),F.push(256+V),V+=1);const Y=F.map(le=>String.fromCharCode(le));return Object.fromEntries(pe.map((le,ue)=>[le,Y[ue]]))})(),H=(0,i.reverseDictionary)(Z);class J extends Q{constructor(F){super(F),this.tokens_to_ids=_(F.vocab),this.unk_token_id=this.tokens_to_ids.get(F.unk_token),this.unk_token=F.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[Y,le]of this.tokens_to_ids)this.vocab[le]=Y;const V=Array.isArray(F.merges[0]);this.merges=V?F.merges:F.merges.map(Y=>Y.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((Y,le)=>[JSON.stringify(Y),le])),this.end_of_word_suffix=F.end_of_word_suffix,this.continuing_subword_suffix=F.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.cache=new Map}bpe(F){if(F.length===0)return[];const V=this.cache.get(F);if(V!==void 0)return V;const Y=Array.from(F);this.end_of_word_suffix&&(Y[Y.length-1]+=this.end_of_word_suffix);let le=[];if(Y.length>1){const ue=new l.PriorityQueue((Qe,Ke)=>Qe.score<Ke.score);let Ce={token:Y[0],bias:0,prev:null,next:null},Ue=Ce;for(let Qe=1;Qe<Y.length;++Qe){const Ke={bias:Qe/Y.length,token:Y[Qe],prev:Ue,next:null};Ue.next=Ke,this._add_node(ue,Ue),Ue=Ke}for(;!ue.isEmpty();){const Qe=ue.pop();if(Qe.deleted||!Qe.next||Qe.next.deleted)continue;if(Qe.deleted=!0,Qe.next.deleted=!0,Qe.prev){const Ze={...Qe.prev};Qe.prev.deleted=!0,Qe.prev=Ze,Ze.prev?Ze.prev.next=Ze:Ce=Ze}const Ke={token:Qe.token+Qe.next.token,bias:Qe.bias,prev:Qe.prev,next:Qe.next.next};Ke.prev?(Ke.prev.next=Ke,this._add_node(ue,Ke.prev)):Ce=Ke,Ke.next&&(Ke.next.prev=Ke,this._add_node(ue,Ke))}for(let Qe=Ce;Qe!==null;Qe=Qe.next)le.push(Qe.token)}else le=Y;if(this.continuing_subword_suffix)for(let ue=0;ue<le.length-1;++ue)le[ue]+=this.continuing_subword_suffix;return this.cache.set(F,le),le}_add_node(F,V){const Y=this.bpe_ranks.get(JSON.stringify([V.token,V.next.token]));Y!==void 0&&(V.score=Y+V.bias,F.push(V))}encode(F){const V=[];for(const Y of F){if(this.ignore_merges&&this.tokens_to_ids.has(Y)){V.push(Y);continue}const le=this.bpe(Y);for(const ue of le)if(this.tokens_to_ids.has(ue))V.push(ue);else if(this.byte_fallback){const Ce=Array.from(this.text_encoder.encode(ue)).map(Ue=>`<0x${Ue.toString(16).toUpperCase().padStart(2,"0")}>`);Ce.every(Ue=>this.tokens_to_ids.has(Ue))?V.push(...Ce):V.push(this.unk_token)}else V.push(this.unk_token)}return V}}class ie extends Q{constructor(F,V){super(F),this.tokens_to_ids=_(V.target_lang?F.vocab[V.target_lang]:F.vocab),this.bos_token=V.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=V.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=V.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=V.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[Y,le]of this.tokens_to_ids)this.vocab[le]=Y}encode(F){return F}}class ae extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"BertNormalizer":return new Me(F);case"Precompiled":return new jt(F);case"Sequence":return new He(F);case"Replace":return new ce(F);case"NFC":return new N(F);case"NFD":return new O(F);case"NFKC":return new G(F);case"NFKD":return new se(F);case"Strip":return new X(F);case"StripAccents":return new we(F);case"Lowercase":return new _e(F);case"Prepend":return new ke(F);default:throw new Error(`Unknown Normalizer type: ${F.type}`)}}normalize(F){throw Error("normalize should be implemented in subclass.")}_call(F){return this.normalize(F)}}class ce extends ae{normalize(F){const V=g(this.config.pattern);return V===null?F:F.replaceAll(V,this.config.content)}}class he extends ae{constructor(){super(...arguments);re(this,"form")}normalize(V){return V=V.normalize(this.form),V}}class N extends he{constructor(){super(...arguments);re(this,"form","NFC")}}class O extends he{constructor(){super(...arguments);re(this,"form","NFD")}}class G extends he{constructor(){super(...arguments);re(this,"form","NFKC")}}class se extends he{constructor(){super(...arguments);re(this,"form","NFKD")}}class X extends ae{normalize(F){return this.config.strip_left&&this.config.strip_right?F=F.trim():(this.config.strip_left&&(F=F.trimStart()),this.config.strip_right&&(F=F.trimEnd())),F}}class we extends ae{normalize(F){return F=v(F),F}}class _e extends ae{normalize(F){return F=F.toLowerCase(),F}}class ke extends ae{normalize(F){return F=this.config.prepend+F,F}}class He extends ae{constructor(F){super(F),this.normalizers=F.normalizers.map(V=>ae.fromConfig(V))}normalize(F){return this.normalizers.reduce((V,Y)=>Y.normalize(V),F)}}class Me extends ae{_tokenize_chinese_chars(F){const V=[];for(let Y=0;Y<F.length;++Y){const le=F[Y],ue=le.charCodeAt(0);k(ue)?(V.push(" "),V.push(le),V.push(" ")):V.push(le)}return V.join("")}stripAccents(F){return F.normalize("NFD").replace(new RegExp("\\p{Mn}","gu"),"")}_is_control(F){switch(F){case"	":case`
+`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test(F)}}_clean_text(F){const V=[];for(const Y of F){const le=Y.charCodeAt(0);le===0||le===65533||this._is_control(Y)||(/^\s$/.test(Y)?V.push(" "):V.push(Y))}return V.join("")}normalize(F){return this.config.clean_text&&(F=this._clean_text(F)),this.config.handle_chinese_chars&&(F=this._tokenize_chinese_chars(F)),this.config.lowercase?(F=F.toLowerCase(),this.config.strip_accents!==!1&&(F=this.stripAccents(F))):this.config.strip_accents&&(F=this.stripAccents(F)),F}}class K extends s.Callable{static fromConfig(F){if(F===null)return null;switch(F.type){case"BertPreTokenizer":return new j(F);case"Sequence":return new dr(F);case"Whitespace":return new ds(F);case"WhitespaceSplit":return new Os(F);case"Metaspace":return new wt(F);case"ByteLevel":return new me(F);case"Split":return new Pe(F);case"Punctuation":return new xe(F);case"Digits":return new Ae(F);case"Replace":return new Dr(F);default:throw new Error(`Unknown PreTokenizer type: ${F.type}`)}}pre_tokenize_text(F,V){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(F,V){return(Array.isArray(F)?F.map(Y=>this.pre_tokenize_text(Y,V)):this.pre_tokenize_text(F,V)).flat()}_call(F,V){return this.pre_tokenize(F,V)}}class j extends K{constructor(F){super(),this.pattern=new RegExp(`[^\\s${w}]+|[${w}]`,"gu")}pre_tokenize_text(F,V){return F.trim().match(this.pattern)||[]}}class me extends K{constructor(F){super(),this.config=F,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=Z,this.text_encoder=new TextEncoder}pre_tokenize_text(F,V){return this.add_prefix_space&&!F.startsWith(" ")&&(F=" "+F),(this.use_regex?F.match(this.pattern)||[]:[F]).map(le=>Array.from(this.text_encoder.encode(le),ue=>this.byte_encoder[ue]).join(""))}}class Pe extends K{constructor(F){super(),this.config=F,this.pattern=g(this.config.pattern,this.config.invert)}pre_tokenize_text(F,V){var Y;return this.pattern===null?[]:this.config.invert?F.match(this.pattern)||[]:((Y=this.config.behavior)==null?void 0:Y.toLowerCase())==="removed"?F.split(this.pattern).filter(le=>le):h(F,this.pattern)}}class xe extends K{constructor(F){super(),this.config=F,this.pattern=new RegExp(`[^${w}]+|[${w}]+`,"gu")}pre_tokenize_text(F,V){return F.match(this.pattern)||[]}}class Ae extends K{constructor(F){super(),this.config=F;const V=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(V,"gu")}pre_tokenize_text(F,V){return F.match(this.pattern)||[]}}class Ie extends s.Callable{constructor(F){super(),this.config=F}static fromConfig(F){if(F===null)return null;switch(F.type){case"TemplateProcessing":return new We(F);case"ByteLevel":return new D(F);case"RobertaProcessing":return new Ne(F);case"BertProcessing":return new Le(F);case"Sequence":return new ee(F);default:throw new Error(`Unknown PostProcessor type: ${F.type}`)}}post_process(F,...V){throw Error("post_process should be implemented in subclass.")}_call(F,...V){return this.post_process(F,...V)}}class Le extends Ie{constructor(F){super(F),this.cls=F.cls[0],this.sep=F.sep[0]}post_process(F,V=null,{add_special_tokens:Y=!0}={}){Y&&(F=(0,i.mergeArrays)([this.cls],F,[this.sep]));let le=new Array(F.length).fill(0);if(V!==null){const ue=Y&&this instanceof Ne?[this.sep]:[],Ce=Y?[this.sep]:[];F=(0,i.mergeArrays)(F,ue,V,Ce),le=(0,i.mergeArrays)(le,new Array(V.length+ue.length+Ce.length).fill(1))}return{tokens:F,token_type_ids:le}}}class Ne extends Le{}class We extends Ie{constructor(F){super(F),this.single=F.single,this.pair=F.pair}post_process(F,V=null,{add_special_tokens:Y=!0}={}){const le=V===null?this.single:this.pair;let ue=[],Ce=[];for(const Ue of le)"SpecialToken"in Ue?Y&&(ue.push(Ue.SpecialToken.id),Ce.push(Ue.SpecialToken.type_id)):"Sequence"in Ue&&(Ue.Sequence.id==="A"?(ue=(0,i.mergeArrays)(ue,F),Ce=(0,i.mergeArrays)(Ce,new Array(F.length).fill(Ue.Sequence.type_id))):Ue.Sequence.id==="B"&&(ue=(0,i.mergeArrays)(ue,V),Ce=(0,i.mergeArrays)(Ce,new Array(V.length).fill(Ue.Sequence.type_id))));return{tokens:ue,token_type_ids:Ce}}}class D extends Ie{post_process(F,V=null){return V&&(F=(0,i.mergeArrays)(F,V)),{tokens:F}}}class ee extends Ie{constructor(F){super(F),this.processors=F.processors.map(V=>Ie.fromConfig(V))}post_process(F,V=null,Y={}){let le;for(const ue of this.processors)if(ue instanceof D)F=ue.post_process(F).tokens,V&&(V=ue.post_process(V).tokens);else{const Ce=ue.post_process(F,V,Y);F=Ce.tokens,le=Ce.token_type_ids}return{tokens:F,token_type_ids:le}}}class B extends s.Callable{constructor(F){super(),this.config=F,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=F.trim_offsets}static fromConfig(F){if(F===null)return null;switch(F.type){case"WordPiece":return new Re(F);case"Metaspace":return new nr(F);case"ByteLevel":return new Fe(F);case"Replace":return new te(F);case"ByteFallback":return new de(F);case"Fuse":return new be(F);case"Strip":return new ve(F);case"Sequence":return new qe(F);case"CTC":return new je(F);case"BPEDecoder":return new Xe(F);default:throw new Error(`Unknown Decoder type: ${F.type}`)}}_call(F){return this.decode(F)}decode(F){return this.decode_chain(F).join("")}decode_chain(F){throw Error("`decode_chain` should be implemented in subclass.")}}class te extends B{decode_chain(F){const V=g(this.config.pattern);return V===null?F:F.map(Y=>Y.replaceAll(V,this.config.content))}}class de extends B{constructor(F){super(F),this.text_decoder=new TextDecoder}decode_chain(F){const V=[];let Y=[];for(const le of F){let ue=null;if(le.length===6&&le.startsWith("<0x")&&le.endsWith(">")){const Ce=parseInt(le.slice(3,5),16);isNaN(Ce)||(ue=Ce)}if(ue!==null)Y.push(ue);else{if(Y.length>0){const Ce=this.text_decoder.decode(Uint8Array.from(Y));V.push(Ce),Y=[]}V.push(le)}}if(Y.length>0){const le=this.text_decoder.decode(Uint8Array.from(Y));V.push(le),Y=[]}return V}}class be extends B{decode_chain(F){return[F.join("")]}}class ve extends B{constructor(F){super(F),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(F){return F.map(V=>{let Y=0;for(let ue=0;ue<this.start&&V[ue]===this.content;++ue){Y=ue+1;continue}let le=V.length;for(let ue=0;ue<this.stop;++ue){const Ce=V.length-ue-1;if(V[Ce]===this.content){le=Ce;continue}else break}return V.slice(Y,le)})}}class Re extends B{constructor(F){super(F),this.cleanup=F.cleanup}decode_chain(F){return F.map((V,Y)=>(Y!==0&&(V.startsWith(this.config.prefix)?V=V.replace(this.config.prefix,""):V=" "+V),this.cleanup&&(V=A(V)),V))}}class Fe extends B{constructor(F){super(F),this.byte_decoder=H,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(F){const V=F.join(""),Y=new Uint8Array([...V].map(ue=>this.byte_decoder[ue]));return this.text_decoder.decode(Y)}decode_chain(F){const V=[];let Y=[];for(const le of F)this.added_tokens.find(ue=>ue.content===le)!==void 0?(Y.length>0&&(V.push(this.convert_tokens_to_string(Y)),Y=[]),V.push(le)):Y.push(le);return Y.length>0&&V.push(this.convert_tokens_to_string(Y)),V}}class je extends B{constructor(F){super(F),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(F){if(F.length===0)return"";const V=[F[0]];for(let ue=1;ue<F.length;++ue)F[ue]!==V.at(-1)&&V.push(F[ue]);let le=V.filter(ue=>ue!==this.pad_token).join("");return this.cleanup&&(le=A(le).replaceAll(this.word_delimiter_token," ").trim()),le}decode_chain(F){return[this.convert_tokens_to_string(F)]}}class qe extends B{constructor(F){super(F),this.decoders=F.decoders.map(V=>B.fromConfig(V))}decode_chain(F){return this.decoders.reduce((V,Y)=>Y.decode_chain(V),F)}}class Xe extends B{constructor(F){super(F),this.suffix=this.config.suffix}decode_chain(F){return F.map((V,Y)=>V.replaceAll(this.suffix,Y===F.length-1?"":" "))}}class ut extends B{decode_chain(F){let V="";for(let Y=1;Y<F.length;Y+=2)V+=F[Y];return[V]}}class wt extends K{constructor(F){super(),this.addPrefixSpace=F.add_prefix_space,this.replacement=F.replacement,this.strRep=F.str_rep||this.replacement,this.prepend_scheme=F.prepend_scheme??"always"}pre_tokenize_text(F,{section_index:V=void 0}={}){let Y=F.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!Y.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&V===0)&&(Y=this.strRep+Y),[Y]}}class nr extends B{constructor(F){super(F),this.addPrefixSpace=F.add_prefix_space,this.replacement=F.replacement}decode_chain(F){const V=[];for(let Y=0;Y<F.length;++Y){let le=F[Y].replaceAll(this.replacement," ");this.addPrefixSpace&&Y==0&&le.startsWith(" ")&&(le=le.substring(1)),V.push(le)}return V}}class jt extends ae{constructor(F){super(F),this.charsmap=F.precompiled_charsmap}normalize(F){return F=F.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),F=F.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),F.includes("～")?F=F.split("～").map(Y=>Y.normalize("NFKC")).join("～"):F=F.normalize("NFKC"),F}}class dr extends K{constructor(F){super(),this.tokenizers=F.pretokenizers.map(V=>K.fromConfig(V))}pre_tokenize_text(F,V){return this.tokenizers.reduce((Y,le)=>le.pre_tokenize(Y,V),[F])}}class ds extends K{constructor(F){super()}pre_tokenize_text(F,V){return F.match(/\w+|[^\w\s]+/g)||[]}}class Os extends K{constructor(F){super()}pre_tokenize_text(F,V){return M(F)}}class Dr extends K{constructor(F){super(),this.config=F,this.pattern=g(this.config.pattern),this.content=this.config.content}pre_tokenize_text(F,V){return this.pattern===null?[F]:[F.replaceAll(this.pattern,this.config.content)]}}const cs=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function Ds(pe,F,V,Y){for(const le of Object.keys(pe)){const ue=F-pe[le].length,Ce=V(le),Ue=new Array(ue).fill(Ce);pe[le]=Y==="right"?(0,i.mergeArrays)(pe[le],Ue):(0,i.mergeArrays)(Ue,pe[le])}}function jr(pe,F){for(const V of Object.keys(pe))pe[V].length=F}class dt extends s.Callable{constructor(V,Y){super();re(this,"return_token_type_ids",!1);re(this,"padding_side","right");this._tokenizer_config=Y,this.normalizer=ae.fromConfig(V.normalizer),this.pre_tokenizer=K.fromConfig(V.pre_tokenizer),this.model=Q.fromConfig(V.model,Y),this.post_processor=Ie.fromConfig(V.post_processor),this.decoder=B.fromConfig(V.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const le of V.added_tokens){const ue=new R(le);this.added_tokens.push(ue),this.model.tokens_to_ids.set(ue.content,ue.id),this.model.vocab[ue.id]=ue.content,ue.special&&(this.special_tokens.push(ue.content),this.all_special_ids.push(ue.id))}if(this.additional_special_tokens=Y.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(le=>le.content)),this.added_tokens_map=new Map(this.added_tokens.map(le=>[le.content,le])),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=Y.model_max_length,this.remove_space=Y.remove_space,this.clean_up_tokenization_spaces=Y.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=Y.do_lowercase_and_remove_accent??!1,Y.padding_side&&(this.padding_side=Y.padding_side),this.legacy=!1,this.chat_template=Y.chat_template??null,Array.isArray(this.chat_template)){const le=Object.create(null);for(const{name:ue,template:Ce}of this.chat_template){if(typeof ue!="string"||typeof Ce!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');le[ue]=Ce}this.chat_template=le}this._compiled_template_cache=new Map}getToken(...V){for(const Y of V){const le=this._tokenizer_config[Y];if(le)if(typeof le=="object"){if(le.__type==="AddedToken")return le.content;throw Error(`Unknown token: ${le}`)}else return le}return null}static async from_pretrained(V,{progress_callback:Y=null,config:le=null,cache_dir:ue=null,local_files_only:Ce=!1,revision:Ue="main",legacy:Qe=null}={}){const Ke=await u(V,{progress_callback:Y,config:le,cache_dir:ue,local_files_only:Ce,revision:Ue,legacy:Qe});return new this(...Ke)}_call(V,{text_pair:Y=null,add_special_tokens:le=!0,padding:ue=!1,truncation:Ce=null,max_length:Ue=null,return_tensor:Qe=!0,return_token_type_ids:Ke=null}={}){const Ze=Array.isArray(V);let ht;if(Ze){if(V.length===0)throw Error("text array must be non-empty");if(Y!==null){if(Array.isArray(Y)){if(V.length!==Y.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");ht=V.map((kt,Wt)=>this._encode_plus(kt,{text_pair:Y[Wt],add_special_tokens:le,return_token_type_ids:Ke}))}else ht=V.map(kt=>this._encode_plus(kt,{add_special_tokens:le,return_token_type_ids:Ke}))}else{if(V==null)throw Error("text may not be null or undefined");if(Array.isArray(Y))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");ht=[this._encode_plus(V,{text_pair:Y,add_special_tokens:le,return_token_type_ids:Ke})]}if(Ue===null?ue==="max_length"?Ue=this.model_max_length:Ue=(0,o.max)(ht.map(kt=>kt.input_ids.length))[0]:Ce||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."),Ue=Math.min(Ue,this.model_max_length??1/0),ue||Ce)for(let kt=0;kt<ht.length;++kt)ht[kt].input_ids.length!==Ue&&(ht[kt].input_ids.length>Ue?Ce&&jr(ht[kt],Ue):ue&&Ds(ht[kt],Ue,Wt=>Wt==="input_ids"?this.pad_token_id:0,this.padding_side));const Ct={};if(Qe){if(!(ue&&Ce)&&ht.some(Wt=>{var Ot;for(const Vt of Object.keys(Wt))if(Wt[Vt].length!==((Ot=ht[0][Vt])==null?void 0:Ot.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 kt=[ht.length,ht[0].input_ids.length];for(const Wt of Object.keys(ht[0]))Ct[Wt]=new a.Tensor("int64",BigInt64Array.from(ht.flatMap(Ot=>Ot[Wt]).map(BigInt)),kt)}else{for(const kt of Object.keys(ht[0]))Ct[kt]=ht.map(Wt=>Wt[kt]);if(!Ze)for(const kt of Object.keys(Ct))Ct[kt]=Ct[kt][0]}return Ct}_encode_text(V){if(V===null)return null;const Y=this.added_tokens_splitter.split(V);for(let ue=0;ue<Y.length;++ue){const Ce=this.added_tokens_map.get(Y[ue]);Ce&&(Ce.lstrip&&ue>0&&(Y[ue-1]=Y[ue-1].trimEnd()),Ce.rstrip&&ue<Y.length-1&&(Y[ue+1]=Y[ue+1].trimStart()))}return Y.flatMap((ue,Ce)=>{if(ue.length===0)return[];if(this.added_tokens_map.has(ue))return[ue];if(this.remove_space===!0&&(ue=ue.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(ue=y(ue)),this.normalizer!==null&&(ue=this.normalizer(ue)),ue.length===0)return[];const Ue=this.pre_tokenizer!==null?this.pre_tokenizer(ue,{section_index:Ce}):[ue];return this.model(Ue)})}_encode_plus(V,{text_pair:Y=null,add_special_tokens:le=!0,return_token_type_ids:ue=null}={}){const{tokens:Ce,token_type_ids:Ue}=this._tokenize_helper(V,{pair:Y,add_special_tokens:le}),Qe=this.model.convert_tokens_to_ids(Ce),Ke={input_ids:Qe,attention_mask:new Array(Qe.length).fill(1)};return(ue??this.return_token_type_ids)&&Ue&&(Ke.token_type_ids=Ue),Ke}_tokenize_helper(V,{pair:Y=null,add_special_tokens:le=!1}={}){const ue=this._encode_text(V),Ce=this._encode_text(Y);return this.post_processor?this.post_processor(ue,Ce,{add_special_tokens:le}):{tokens:(0,i.mergeArrays)(ue??[],Ce??[])}}tokenize(V,{pair:Y=null,add_special_tokens:le=!1}={}){return this._tokenize_helper(V,{pair:Y,add_special_tokens:le}).tokens}encode(V,{text_pair:Y=null,add_special_tokens:le=!0,return_token_type_ids:ue=null}={}){return this._encode_plus(V,{text_pair:Y,add_special_tokens:le,return_token_type_ids:ue}).input_ids}batch_decode(V,Y={}){return V instanceof a.Tensor&&(V=V.tolist()),V.map(le=>this.decode(le,Y))}decode(V,Y={}){if(V instanceof a.Tensor&&(V=P(V)),!Array.isArray(V)||V.length===0||!(0,i.isIntegralNumber)(V[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(V,Y)}decode_single(V,{skip_special_tokens:Y=!1,clean_up_tokenization_spaces:le=null}){let ue=this.model.convert_ids_to_tokens(V);Y&&(ue=ue.filter(Ue=>!this.special_tokens.includes(Ue)));let Ce=this.decoder?this.decoder(ue):ue.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Ce=Ce.replaceAll(this.decoder.end_of_word_suffix," "),Y&&(Ce=Ce.trim())),(le??this.clean_up_tokenization_spaces)&&(Ce=A(Ce)),Ce}get_chat_template({chat_template:V=null,tools:Y=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const le=this.chat_template;if(V!==null&&Object.hasOwn(le,V))V=le[V];else if(V===null)if(Y!==null&&"tool_use"in le)V=le.tool_use;else if("default"in le)V=le.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(le).sort()}.`)}else if(V===null)if(this.chat_template)V=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 V}apply_chat_template(V,{tools:Y=null,documents:le=null,chat_template:ue=null,add_generation_prompt:Ce=!1,tokenize:Ue=!0,padding:Qe=!1,truncation:Ke=!1,max_length:Ze=null,return_tensor:ht=!0,return_dict:Ct=!1,tokenizer_kwargs:kt={},...Wt}={}){if(ue=this.get_chat_template({chat_template:ue,tools:Y}),typeof ue!="string")throw Error(`chat_template must be a string, but got ${typeof ue}`);let Ot=this._compiled_template_cache.get(ue);Ot===void 0&&(Ot=new c.Template(ue),this._compiled_template_cache.set(ue,Ot));const Vt=Object.create(null);for(const _r of cs){const Yr=this.getToken(_r);Yr&&(Vt[_r]=Yr)}const vr=Ot.render({messages:V,add_generation_prompt:Ce,tools:Y,documents:le,...Vt,...Wt});if(Ue){const _r=this._call(vr,{add_special_tokens:!1,padding:Qe,truncation:Ke,max_length:Ze,return_tensor:ht,...kt});return Ct?_r:_r.input_ids}return vr}}class qr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Vr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class us extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ts extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class xs extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Es extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Ls extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class mr extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class Be extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class et extends dt{}class it extends dt{}class rr extends dt{constructor(V,Y){super(V,Y);re(this,"return_token_type_ids",!0);console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class zt extends dt{constructor(){super(...arguments);re(this,"return_token_type_ids",!0)}}class kr extends dt{}class ps extends dt{}class hs extends dt{}class Er extends dt{constructor(F,V){super(F,V),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(Y=>this.languageRegex.test(Y)),this.lang_to_token=Y=>Y}_build_translation_inputs(F,V,Y){return br(this,F,V,Y)}}class ms extends Er{}class fs extends dt{}class Qr extends dt{}const Ps="▁";class Qs extends dt{constructor(V,Y){super(V,Y);re(this,"padding_side","left");this.legacy=Y.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new wt({replacement:Ps,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(V){if(V===null)return null;if(this.legacy||V.length===0)return super._encode_text(V);let Y=super._encode_text(Ps+V.replaceAll(Ps," "));return Y.length>1&&Y[0]===Ps&&this.special_tokens.includes(Y[1])&&(Y=Y.slice(1)),Y}}class Xs extends dt{}class Js extends dt{}class Ys extends dt{}class _s extends dt{}class Zs extends dt{}class en extends dt{}class tn extends dt{}class Lr extends dt{}class Cs extends dt{}function br(pe,F,V,Y){if(!("language_codes"in pe)||!Array.isArray(pe.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in pe)||!(pe.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in pe)||typeof pe.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const le=Y.src_lang,ue=Y.tgt_lang;if(!pe.language_codes.includes(ue))throw new Error(`Target language code "${ue}" is not valid. Must be one of: {${pe.language_codes.join(", ")}}`);if(le!==void 0){if(!pe.language_codes.includes(le))throw new Error(`Source language code "${le}" is not valid. Must be one of: {${pe.language_codes.join(", ")}}`);for(const Ce of pe.post_processor.config.single)if("SpecialToken"in Ce&&pe.languageRegex.test(Ce.SpecialToken.id)){Ce.SpecialToken.id=pe.lang_to_token(le);break}}return Y.forced_bos_token_id=pe.model.convert_tokens_to_ids([pe.lang_to_token(ue)])[0],pe._call(F,V)}class zs extends dt{constructor(F,V){super(F,V),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(Y=>this.languageRegex.test(Y)),this.lang_to_token=Y=>Y}_build_translation_inputs(F,V,Y){return br(this,F,V,Y)}}class Bs extends dt{constructor(F,V){super(F,V),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(Y=>this.languageRegex.test(Y)).map(Y=>Y.slice(2,-2)),this.lang_to_token=Y=>`__${Y}__`}_build_translation_inputs(F,V,Y){return br(this,F,V,Y)}}class Ir extends dt{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(F,{return_timestamps:V=!1,return_language:Y=!1,time_precision:le=null,force_full_sequences:ue=!0}={}){if(le===null)throw Error("Must specify time_precision");let Ce=null;const Ue=V==="word";function Qe(){return{language:Ce,timestamp:[null,null],text:""}}const Ke=[];let Ze=Qe(),ht=0;const Ct=this.timestamp_begin,Wt=Ct+1500;let Ot=[],Vt=[],vr=!1,_r=null;const Yr=new Set(this.all_special_ids);for(const Gt of F){const Zt=Gt.tokens,gr=Ue?Gt.token_timestamps:null;let Zr=null,ws=Ct;if("stride"in Gt){const[Rt,Jt,qt]=Gt.stride;if(ht-=Jt,_r=Rt-qt,Jt&&(ws=Jt/le+Ct),qt)for(let er=Zt.length-1;er>=0;--er){const ir=Number(Zt[er]);if(ir>=Ct){if(Zr!==null&&(ir-Ct)*le<_r)break;Zr=ir}}}let Ht=[],ur=[];for(let Rt=0;Rt<Zt.length;++Rt){const Jt=Number(Zt[Rt]);if(Yr.has(Jt)){const qt=this.decode([Jt]),er=p.WHISPER_LANGUAGE_MAPPING.get(qt.slice(2,-2));if(er!==void 0){if(Ce!==null&&er!==Ce&&!V){Ot.push(Ht);const ir=this.findLongestCommonSequence(Ot)[0],rn=this.decode(ir);Ze.text=rn,Ke.push(Ze),Ot=[],Ht=[],Ze=Qe()}Ce=Ze.language=er}}else if(Jt>=Ct&&Jt<=Wt){const qt=(Jt-Ct)*le+ht,er=(0,o.round)(qt,2);if(Zr!==null&&Jt>=Zr)vr=!0;else if(vr||Ot.length>0&&Jt<ws)vr=!1;else if(Ze.timestamp[0]===null)Ze.timestamp[0]=er;else if(er!==Ze.timestamp[0]){Ze.timestamp[1]=er,Ot.push(Ht),Ue&&Vt.push(ur);const[ir,rn]=this.findLongestCommonSequence(Ot,Vt),sn=this.decode(ir);Ze.text=sn,Ue&&(Ze.words=this.collateWordTimestamps(ir,rn,Ce)),Ke.push(Ze),Ot=[],Ht=[],Vt=[],ur=[],Ze=Qe()}}else if(Ht.push(Jt),Ue){let qt=(0,o.round)(gr[Rt]+ht,2),er;if(Rt+1<gr.length){er=(0,o.round)(gr[Rt+1]+ht,2);const ir=this.decode([Jt]);x.test(ir)&&(er=(0,o.round)(Math.min(qt+le,er),2))}else er=null;ur.push([qt,er])}}if("stride"in Gt){const[Rt,Jt,qt]=Gt.stride;ht+=Rt-qt}Ht.length>0?(Ot.push(Ht),Ue&&Vt.push(ur)):Ot.every(Rt=>Rt.length===0)&&(Ze=Qe(),Ot=[],Ht=[],Vt=[],ur=[])}if(Ot.length>0){if(ue&&V)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[Gt,Zt]=this.findLongestCommonSequence(Ot,Vt),gr=this.decode(Gt);Ze.text=gr,Ue&&(Ze.words=this.collateWordTimestamps(Gt,Zt,Ce)),Ke.push(Ze)}let Tr=Object.create(null);const gs=Ke.map(Gt=>Gt.text).join("");if(V||Y){for(let Gt=0;Gt<Ke.length;++Gt){const Zt=Ke[Gt];V||delete Zt.timestamp,Y||delete Zt.language}if(Ue){const Gt=[];for(const Zt of Ke)for(const gr of Zt.words)Gt.push(gr);Tr={chunks:Gt}}else Tr={chunks:Ke}}return[gs,Tr]}findLongestCommonSequence(F,V=null){let Y=F[0],le=Y.length,ue=[];const Ce=Array.isArray(V)&&V.length>0;let Ue=Ce?[]:null,Qe=Ce?V[0]:null;for(let Ke=1;Ke<F.length;++Ke){const Ze=F[Ke];let ht=0,Ct=[le,le,0,0];const kt=Ze.length;for(let Tr=1;Tr<le+kt;++Tr){const gs=Math.max(0,le-Tr),Gt=Math.min(le,le+kt-Tr),Zt=Y.slice(gs,Gt),gr=Math.max(0,Tr-le),Zr=Math.min(kt,Tr),ws=Ze.slice(gr,Zr);if(Zt.length!==ws.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let Ht;Ce?Ht=Zt.filter((Jt,qt)=>Jt===ws[qt]&&Qe[gs+qt]<=V[Ke][gr+qt]).length:Ht=Zt.filter((Jt,qt)=>Jt===ws[qt]).length;const ur=Tr/1e4,Rt=Ht/Tr+ur;Ht>1&&Rt>ht&&(ht=Rt,Ct=[gs,Gt,gr,Zr])}const[Wt,Ot,Vt,vr]=Ct,_r=Math.floor((Ot+Wt)/2),Yr=Math.floor((vr+Vt)/2);ue.push(...Y.slice(0,_r)),Y=Ze.slice(Yr),le=Y.length,Ce&&(Ue.push(...Qe.slice(0,_r)),Qe=V[Ke].slice(Yr))}return ue.push(...Y),Ce?(Ue.push(...Qe),[ue,Ue]):[ue,[]]}collateWordTimestamps(F,V,Y){const[le,ue,Ce]=this.combineTokensIntoWords(F,Y),Ue=[];for(let Qe=0;Qe<le.length;++Qe){const Ke=Ce[Qe];Ue.push({text:le[Qe],timestamp:[V[Ke.at(0)][0],V[Ke.at(-1)][1]]})}return Ue}combineTokensIntoWords(F,V,Y=`"'“¡¿([{-`,le=`"'.。,，!！?？:：”)]}、`){V=V??"english";let ue,Ce,Ue;return["chinese","japanese","thai","lao","myanmar"].includes(V)?[ue,Ce,Ue]=this.splitTokensOnUnicode(F):[ue,Ce,Ue]=this.splitTokensOnSpaces(F),this.mergePunctuations(ue,Ce,Ue,Y,le)}decode(F,V){let Y;return V!=null&&V.decode_with_timestamps?(F instanceof a.Tensor&&(F=P(F)),Y=this.decodeWithTimestamps(F,V)):Y=super.decode(F,V),Y}decodeWithTimestamps(F,V){const Y=(V==null?void 0:V.time_precision)??.02,le=Array.from(this.all_special_ids).at(-1)+1;let ue=[[]];for(let Ce of F)if(Ce=Number(Ce),Ce>=le){const Ue=((Ce-le)*Y).toFixed(2);ue.push(`<|${Ue}|>`),ue.push([])}else ue[ue.length-1].push(Ce);return ue=ue.map(Ce=>typeof Ce=="string"?Ce:super.decode(Ce,V)),ue.join("")}splitTokensOnUnicode(F){const V=this.decode(F,{decode_with_timestamps:!0}),Y="�",le=[],ue=[],Ce=[];let Ue=[],Qe=[],Ke=0;for(let Ze=0;Ze<F.length;++Ze){const ht=F[Ze];Ue.push(ht),Qe.push(Ze);const Ct=this.decode(Ue,{decode_with_timestamps:!0});(!Ct.includes(Y)||V[Ke+Ct.indexOf(Y)]===Y)&&(le.push(Ct),ue.push(Ue),Ce.push(Qe),Ue=[],Qe=[],Ke+=Ct.length)}return[le,ue,Ce]}splitTokensOnSpaces(F){const[V,Y,le]=this.splitTokensOnUnicode(F),ue=[],Ce=[],Ue=[],Qe=new RegExp(`^[${w}]$`,"gu");for(let Ke=0;Ke<V.length;++Ke){const Ze=V[Ke],ht=Y[Ke],Ct=le[Ke],kt=ht[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),Wt=Ze.startsWith(" "),Ot=Ze.trim(),Vt=Qe.test(Ot);if(kt||Wt||Vt||ue.length===0)ue.push(Ze),Ce.push(ht),Ue.push(Ct);else{const vr=ue.length-1;ue[vr]+=Ze,Ce[vr].push(...ht),Ue[vr].push(...Ct)}}return[ue,Ce,Ue]}mergePunctuations(F,V,Y,le,ue){const Ce=structuredClone(F),Ue=structuredClone(V),Qe=structuredClone(Y);let Ke=Ce.length-2,Ze=Ce.length-1;for(;Ke>=0;)Ce[Ke].startsWith(" ")&&le.includes(Ce[Ke].trim())?(Ce[Ze]=Ce[Ke]+Ce[Ze],Ue[Ze]=(0,i.mergeArrays)(Ue[Ke],Ue[Ze]),Qe[Ze]=(0,i.mergeArrays)(Qe[Ke],Qe[Ze]),Ce[Ke]="",Ue[Ke]=[],Qe[Ke]=[]):Ze=Ke,--Ke;for(Ke=0,Ze=1;Ze<Ce.length;)!Ce[Ke].endsWith(" ")&&ue.includes(Ce[Ze])?(Ce[Ke]+=Ce[Ze],Ue[Ke]=(0,i.mergeArrays)(Ue[Ke],Ue[Ze]),Qe[Ke]=(0,i.mergeArrays)(Qe[Ke],Qe[Ze]),Ce[Ze]="",Ue[Ze]=[],Qe[Ze]=[]):Ke=Ze,++Ze;return[Ce.filter(ht=>ht),Ue.filter(ht=>ht.length>0),Qe.filter(ht=>ht.length>0)]}}class Xr extends dt{}class xn extends dt{}class zr extends dt{}class En extends dt{constructor(F,V){super(F,V),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(Y=>this.languageRegex.test(Y)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(F){if(F===null)return null;const[V,...Y]=F.trim().split(this.languageRegex);if(Y.length===0)return super._encode_text(V);if(Y.length===2){const[le,ue]=Y;return this.supported_language_codes.includes(le)||console.warn(`Unsupported language code "${le}" 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(v,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const v=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let y=0,k=0;y<this.data.length;++y)v[k++]=this.data[y],v[k++]=this.data[y],v[k++]=this.data[y],v[k++]=255;break;case 3:for(let y=0,k=0;y<this.data.length;y+=3)v[k++]=this.data[y],v[k++]=this.data[y+1],v[k++]=this.data[y+2],v[k++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(v,this.width,this.height,4)}putAlpha(v){if(v.width!==this.width||v.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${v.width}x${v.height}`);if(v.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${v.channels}`);const y=this.data,k=v.data,E=this.width*this.height;if(this.channels===3){const M=new Uint8ClampedArray(E*4);for(let w=0,x=0,$=0;w<E;++w)M[$++]=y[x++],M[$++]=y[x++],M[$++]=y[x++],M[$++]=k[w];return this._update(M,this.width,this.height,4)}else if(this.channels===4){for(let M=0;M<E;++M)y[4*M+3]=k[M];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(v,y,{resample:k=2}={}){if(this.width===v&&this.height===y)return this;let E=h[k]??k;const M=(0,s.isNullishDimension)(v),w=(0,s.isNullishDimension)(y);if(M&&w)return this;if(M?v=y/this.height*this.width:w&&(y=v/this.width*this.height),u){const x=this.channels,$=this.toCanvas(),z=l(v,y).getContext("2d");return z.drawImage($,0,0,v,y),new _(z.getImageData(0,0,v,y).data,v,y,4).convert(x)}else{let x=this.toSharp();switch(E){case"box":case"hamming":(E==="box"||E==="hamming")&&(console.warn(`Resampling method ${E} is not yet supported. Using bilinear instead.`),E="bilinear");case"nearest":case"bilinear":case"bicubic":x=x.affine([v/this.width,0,0,y/this.height],{interpolator:E});break;case"lanczos":x=x.resize({width:v,height:y,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${E} is not supported.`)}return await p(x)}}async pad([v,y,k,E]){if(v=Math.max(v,0),y=Math.max(y,0),k=Math.max(k,0),E=Math.max(E,0),v===0&&y===0&&k===0&&E===0)return this;if(u){const M=this.channels,w=this.toCanvas(),x=this.width+v+y,$=this.height+k+E,z=l(x,$).getContext("2d");return z.drawImage(w,0,0,this.width,this.height,v,k,this.width,this.height),new _(z.getImageData(0,0,x,$).data,x,$,4).convert(M)}else{const M=this.toSharp().extend({left:v,right:y,top:k,bottom:E});return await p(M)}}async crop([v,y,k,E]){if(v=Math.max(v,0),y=Math.max(y,0),k=Math.min(k,this.width-1),E=Math.min(E,this.height-1),v===0&&y===0&&k===this.width-1&&E===this.height-1)return this;const M=k-v+1,w=E-y+1;if(u){const 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fT=f.WhisperForConditionalGeneration;f.WhisperModel,f.WhisperPreTrainedModel,f.WhisperProcessor,f.WhisperTextStreamer,f.WhisperTimeStampLogitsProcessor,f.WhisperTokenizer,f.XLMForQuestionAnswering,f.XLMForSequenceClassification,f.XLMForTokenClassification,f.XLMModel,f.XLMPreTrainedModel,f.XLMRobertaForMaskedLM,f.XLMRobertaForQuestionAnswering,f.XLMRobertaForSequenceClassification,f.XLMRobertaForTokenClassification,f.XLMRobertaModel,f.XLMRobertaPreTrainedModel,f.XLMRobertaTokenizer,f.XLMTokenizer,f.XLMWithLMHeadModel,f.XVectorOutput,f.YolosFeatureExtractor,f.YolosForObjectDetection,f.YolosImageProcessor,f.YolosModel,f.YolosObjectDetectionOutput,f.YolosPreTrainedModel,f.ZeroShotAudioClassificationPipeline,f.ZeroShotClassificationPipeline,f.ZeroShotImageClassificationPipeline,f.ZeroShotObjectDetectionPipeline,f.bankers_round,f.cat,f.cos_sim,f.dot,f.dynamic_time_warping,f.env;var _T=f.full;f.full_like,f.getKeyValueShapes,f.hamming,f.hanning,f.interpolate,f.interpolate_4d,f.interpolate_data,f.is_chinese_char,f.layer_norm,f.load_image,f.load_video,f.log_softmax,f.magnitude,f.matmul,f.max,f.mean,f.mean_pooling,f.medianFilter,f.mel_filter_bank,f.min,f.ones,f.ones_like,f.permute,f.permute_data,f.pipeline,f.quantize_embeddings,f.rand,f.read_audio,f.rfft,f.round,f.slice,f.softmax,f.spectrogram,f.stack,f.std_mean,f.topk,f.window_function,f.zeros,f.zeros_like;const gT=64;class Wn{static async getInstance(r){return this.model_id="onnx-community/whisper-large-v3-turbo",this.tokenizer??(this.tokenizer=hT.from_pretrained(this.model_id,{progress_callback:r})),this.processor??(this.processor=pT.from_pretrained(this.model_id,{progress_callback:r})),this.model??(this.model=fT.from_pretrained(this.model_id,{dtype:{encoder_model:"fp16",decoder_model_merged:"q4"},device:"webgpu",progress_callback:r})),Promise.all([this.tokenizer,this.processor,this.model])}}re(Wn,"model_id",null),re(Wn,"tokenizer"),re(Wn,"processor"),re(Wn,"model");async function wT(e){const r=atob(e),t=new Uint8Array(r.length);for(let n=0;n<r.length;n++)t[n]=r.charCodeAt(n);const s=new Int16Array(t.buffer.slice(44)),i=new Float32Array(s.length);for(let n=0;n<s.length;n++)i[n]=s[n]/32768;return i}let Xc=!1;async function yT({audio:e,language:r}){if(Xc)return;Xc=!0,globalThis.postMessage({status:"start"});const t=await wT(e),[s,i,n]=await Wn.getInstance();let o,a=0;const l=g=>{o??(o=performance.now());let _;a++>0&&(_=a/(performance.now()-o)*1e3),globalThis.postMessage({status:"update",output:g,tps:_,numTokens:a})},c=new mT(s,{skip_prompt:!0,decode_kwargs:{skip_special_tokens:!0},callback_function:l}),p=await i(t),u=await n.generate({...p,max_new_tokens:gT,language:r,streamer:c}),h=s.batch_decode(u,{skip_special_tokens:!0});globalThis.postMessage({status:"complete",output:h}),Xc=!1}async function MT(){globalThis.postMessage({status:"loading",data:"Loading model..."});const[e,r,t]=await Wn.getInstance(s=>{globalThis.postMessage(s)});globalThis.postMessage({status:"loading",data:"Compiling shaders and warming up model..."}),await t.generate({input_features:_T([1,128,3e3],0),max_new_tokens:1}),globalThis.postMessage({status:"ready"})}globalThis.addEventListener("message",async e=>{const{type:r,data:t}=e.data;switch(r){case"load":MT();break;case"generate":yT(t);break}})})();
diff --git a/assets/xai-o2OiL_Fi.js b/assets/xai-hZPT-RIL.js
similarity index 67%
rename from assets/xai-o2OiL_Fi.js
rename to assets/xai-hZPT-RIL.js
index f8c362fe4736c723b66d0bfae48d73e42d544246..f336180779a0ebbd2c97100452029233af0451f0 100644
--- a/assets/xai-o2OiL_Fi.js
+++ b/assets/xai-hZPT-RIL.js
@@ -1 +1 @@
-import"./live2d-zip-loader-CvpgOHsT.js";import{d as x,q as U,bE as V,s as y,h as v,l as $,w as k,x as K,o as h,y as p,b as l,e as t}from"./index-BYewP6KR.js";import{u as w}from"./providers-CFIOZO6n.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DqCgexwu.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-CgmyEAiK.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CSsbF9Dc.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CJFL6yWa.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D5HR-mm1.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-Dfw3gUCZ.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-8tXpziLA.js";import"./Input.vue_vue_type_script_setup_true_lang-C1tyFTKa.js";const a="xai",H=x({__name:"xai",setup(B){const{t:d}=U(),_=V(),m=w(),{providers:o}=y(m),n=v(()=>m.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,i;m.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),k([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"xai-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.x.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
+import"./live2d-zip-loader-DFrBymqv.js";import{d as x,q as U,bE as V,s as y,h as v,l as $,w as k,x as K,o as h,y as p,b as l,e as t}from"./index-CL4rmUJ-.js";import{u as w}from"./providers-BHCrT0RZ.js";import{_ as z,a as M}from"./ProviderBaseUrlInput.vue_vue_type_script_setup_true_lang-DSr7vzEO.js";import{_ as N}from"./ProviderApiKeyInput.vue_vue_type_script_setup_true_lang-kqNNdnJX.js";import{_ as P,a as R}from"./ProviderSettingsContainer.vue_vue_type_script_setup_true_lang-CQr6n3al.js";import{_ as S}from"./ProviderSettingsLayout.vue_vue_type_script_setup_true_lang-CGV_kjud.js";import"./Collapsable.vue_vue_type_script_setup_true_lang-D1l84PAS.js";import"./TransitionVertical.vue_vue_type_script_setup_true_lang-DyJvGcGI.js";import"./FieldInput.vue_vue_type_script_setup_true_lang-bt8c6FDo.js";import"./Input.vue_vue_type_script_setup_true_lang-lz6q2FWu.js";const a="xai",H=x({__name:"xai",setup(B){const{t:d}=U(),_=V(),m=w(),{providers:o}=y(m),n=v(()=>m.getProviderMetadata(a)),s=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.apiKey)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].apiKey=e}}),r=v({get:()=>{var e;return((e=o.value[a])==null?void 0:e.baseUrl)||""},set:e=>{o.value[a]||(o.value[a]={}),o.value[a].baseUrl=e}});$(()=>{var e,i;m.initializeProvider(a),s.value=((e=o.value[a])==null?void 0:e.apiKey)||"",r.value=((i=o.value[a])==null?void 0:i.baseUrl)||""}),k([s,r],()=>{o.value[a]={...o.value[a],apiKey:s.value,baseUrl:r.value||""}});function b(){var e;o.value[a]={...(e=n.value)==null?void 0:e.defaultOptions}}return(e,i)=>{var c,f;return h(),K(t(S),{"provider-name":(c=n.value)==null?void 0:c.localizedName,"provider-icon":(f=n.value)==null?void 0:f.icon,"on-back":()=>t(_).back()},{default:p(()=>[l(t(P),null,{default:p(()=>[l(t(R),{title:t(d)("settings.pages.providers.common.section.basic.title"),description:t(d)("settings.pages.providers.common.section.basic.description"),"on-reset":b},{default:p(()=>{var u;return[l(t(N),{modelValue:s.value,"onUpdate:modelValue":i[0]||(i[0]=g=>s.value=g),"provider-name":(u=n.value)==null?void 0:u.localizedName,placeholder:"xai-..."},null,8,["modelValue","provider-name"])]}),_:1},8,["title","description"]),l(t(z),{title:t(d)("settings.pages.providers.common.section.advanced.title")},{default:p(()=>[l(t(M),{modelValue:r.value,"onUpdate:modelValue":i[1]||(i[1]=u=>r.value=u),placeholder:"https://api.x.ai/v1/"},null,8,["modelValue"])]),_:1},8,["title"])]),_:1})]),_:1},8,["provider-name","provider-icon","on-back"])}}});export{H as default};
diff --git a/index.html b/index.html
index 9106f6dee9b726dfeed0ee1551d4e838669bbcfa..dae7e94c36a1ba7cdd29f4c2694176af0b8e8029 100644
--- a/index.html
+++ b/index.html
@@ -23,8 +23,8 @@
       src="/remote-assets/page-external-data/js/script.js"
     ></script>
     <script src="/assets/js/CubismSdkForWeb-5-r.1/Core/live2dcubismcore.min.js"></script>
-    <script type="module" crossorigin src="/assets/index-BYewP6KR.js"></script>
-    <link rel="stylesheet" crossorigin href="/assets/index-DSfRQH3b.css">
+    <script type="module" crossorigin src="/assets/index-CL4rmUJ-.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-BXUWdGb6.css">
   </head>
   <body class="font-sans">
     <div id="app"></div>