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greater than or equal to 1")}else i.push(1);for(let o=0;o<r.length;o++)if(o<a.length){if(a[o]<0)throw new Error("dilations should be greater than or equal to 1")}else a.push(1);for(let o=0;o<r.length*2;o++)if(o<s.length){if(s[o]<0)throw new Error("pad should be greater than or equal to 1")}else s.push(0);for(let o=0;o<r.length;o++){if(r[o]<=0)throw new Error("kernel shapes need to be greater than 0");if(s[o]>=r[o]||s[o+r.length]>=r[o])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(e,t,r,i,a,s,o){if(o){if(a.length!==2*(e.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(t.length!==e.length-2)throw new Error("length of strides should be the length of data dimensions");if(i.length!==e.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let l=0;l<e.length-2;l++)Ns.adjustPadAndReturnShape(e[l+(s?1:2)],t[l],r[l],i[l],a,l,l+e.length-2,o)}}static computePoolOutputShape(e,t,r,i,a,s,o){if(t.length<=0)throw new Error("input shape must be of size greater than 0");let l=[t[0],t[1]];return Ns.computeShapeHelper(e,t,l,r,i,a,s,o),l}static computeConvOutputShape(e,t,r,i,a,s,o){if(e.length<=0||t.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let l=[e[0],t[0]];return Ns.computeShapeHelper(!1,e,l,r,i,a,s,o),l}static computeShapeHelper(e,t,r,i,a,s,o,l){if(e)for(let u=0;u<t.length-2;u++)r.push(1);else for(let u=0;u<t.length-2;u++)r.push(Ns.adjustPadAndReturnShape(t[u+2],i[u],a[u],s[u],o,u,u+t.length-2,l))}static adjustPadAndReturnShape(e,t,r,i,a,s,o,l){let u=r*(i-1)+1;if(l&&l!=="NOTSET")switch(l){case"VALID":return a[s]=0,a[o]=0,Math.floor((e-u)/t+1);case"SAME_LOWER":case"SAME_UPPER":if(r!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let c=((e+t-1)/t-1)*t+i-e;return a[s]=Math.floor(l==="SAME_LOWER"?(c+1)/2:c/2),a[o]=c-a[s],Math.floor((e+c-i)/t+1)}default:throw new 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13:if(e>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","u32"];case 9:if(e!==4)throw new Error("bool must be vec4");return["u32","vec4<bool>"];default:throw new Error(`Unknown data type: ${n}`)}},Rn=(n,e=1)=>{let t=Bo(n,e);return typeof t=="string"?t:t[0]},tr=(n,e=1)=>{let t=Bo(n,e);return typeof t=="string"?t:t[1]},gt=(...n)=>{let e=[];return n.forEach(t=>{t.length!==0&&e.push({type:12,data:t},{type:12,data:Ee.computeStrides(t)})}),e},vn=n=>n%4===0?4:n%2===0?2:1,ui=(n="f32",e,t="0")=>!e||e===1?`${n}(${t})`:`vec${e}<${n}>(${t})`,es=(n,e,t)=>n==="f32"?t:e===1?`f32(${t})`:`vec${e}<f32>(${t})`,zi=(n,e)=>e===4?`(${n}.x + ${n}.y + ${n}.z + ${n}.w)`:e===2?`(${n}.x + ${n}.y)`:e===3?`(${n}.x + ${n}.y + ${n}.z)`:n,Et=(n,e,t,r)=>n.startsWith("uniforms.")&&t>4?typeof e=="string"?r==="f16"?`${n}[(${e}) / 8][(${e}) % 8 / 4][(${e}) % 8 % 4]`:`${n}[(${e}) / 4][(${e}) % 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    current = rest${W};
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    @builtin(workgroup_id) workgroup_id : vec3<u32>,
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  fn main(${a}) {
    ${s}
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`)}registerInternalVariable(n){if(n.usage!=="internal")throw new Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(n),this.appendVariableUniforms(n)}registerInternalVariables(...n){return n.forEach(e=>this.registerInternalVariable(e)),this}registerUniform(n,e,t=1){return this.uniforms.push({name:n,type:e,length:t}),this}registerUniforms(n){return this.uniforms=this.uniforms.concat(n),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let n=[];for(let{name:e,type:t,length:r}of this.uniforms)if(r&&r>4)t==="f16"?n.push(`@align(16) ${e}:array<mat2x4<${t}>, ${Math.ceil(r/8)}>`):n.push(`${e}:array<vec4<${t}>, ${Math.ceil(r/4)}>`);else{let i=r==null||r===1?t:`vec${r}<${t}>`;n.push(`${e}:${i}`)}return`
      struct Uniforms { ${n.join(", ")} };
      @group(0) @binding(${this.variableIndex}) var<uniform> uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map(n=>n.impl()).join(`
`)+this.internalVariables.map(n=>n.impl()).join(`
`)}get variablesInfo(){if(this.uniforms.length===0)return;let n=e=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(e)];return this.uniforms.map(e=>[n(e.type),e.length??1])}},M0=(n,e)=>new sp(n,e),Ys=(n,e)=>{let t=n.length,r=[];for(let i=0;i<t;i++){let a=t-1-i,s=n[a]||1;(e[e.length-1-i]||1)>1&&s===1&&r.unshift(a)}return r}}),op,Pu,lp,up,pi,T0,A0,so=Ce(()=>{bt(),Dt(),Mn(),Ot(),op=n=>{if(!n||n.length!==1)throw new Error("Transpose requires 1 input.")},Pu=(n,e)=>e&&e.length!==n?[...new Array(n).keys()].reverse():e,lp=(n,e)=>Ee.sortBasedOnPerm(n,Pu(n.length,e)),up=(n,e,t,r)=>{let i=[];i.push(`fn perm(i: ${r.type.indices}) -> ${t.type.indices} {
    var a: ${t.type.indices};`);for(let a=0;a<e;++a)i.push(t.indicesSet("a",n[a],`i[${a}]`));return i.push("return a;}"),i.join(`
`)},pi=(n,e)=>{let t=n.dataType,r=n.dims.length,i=Pu(r,e),a=lp(n.dims,i),s=ct("output",t,a.length),o=Te("a",t,r),l=u=>`
  ${u.registerUniform("output_size","u32").declareVariables(o,s)}

  ${up(i,r,o,s)}

  ${u.mainStart()}
    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let indices = ${s.offsetToIndices("global_idx")};
    let aIndices = perm(indices);

    ${s.setByOffset("global_idx",o.getByIndices("aIndices"))}
  }`;return{name:"Transpose",shaderCache:{hint:`${e}`,inputDependencies:["rank"]},getRunData:u=>{let c=Ee.size(a);return{outputs:[{dims:a,dataType:u[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:[{type:12,data:c},...gt(u[0].dims,a)]}},getShaderSource:l}},T0=(n,e)=>{op(n.inputs),n.compute(pi(n.inputs[0],e.perm))},A0=n=>sn({perm:n.perm})}),cp,dp,hp,pp,fp,mp,gp,_p,yp,vp,Er,C0,$0,R0,I0,P0,k0,O0,D0,L0,z0,s2=Ce(()=>{bt(),Dt(),Ot(),Ad(),so(),cp={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"},dp={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"},hp={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},pp={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},fp=(n,e)=>{let t=[];for(let r=e-n;r<e;++r)t.push(r);return t},mp=(n,e)=>{let t=[],r=n.length;for(let a=0;a<r;a++)e.indexOf(a)===-1&&t.push(n[a]);let i=e.map(a=>n[a]);return[t,i]},gp=(n,e)=>{let t=n.length+e.length,r=[],i=0;for(let a=0;a<t;a++)e.indexOf(a)===-1?r.push(n[i++]):r.push(1);return r},_p=(n,e)=>{for(let t=0;t<n.length;++t)if(n[n.length-t-1]!==e-1-t)return!1;return!0},yp=(n,e)=>{let t=[];if(!_p(n,e)){for(let r=0;r<e;++r)n.indexOf(r)===-1&&t.push(r);n.forEach(r=>t.push(r))}return t},vp=(n,e,t,r,i,a,s)=>{let o=t[0].dims,l=Ee.size(a),u=Ee.size(s),c=Te("_A",t[0].dataType,o),h=ct("output",i,a),p=32,d=`
          var<workgroup> aBestValues : array<f32, ${p}>;
       `;return{name:n,shaderCache:e,getShaderSource:m=>`
        ${m.registerUniform("reduceSize","u32").declareVariables(c,h)}
        ${d}
        fn DIV_CEIL(a : u32, b : u32) -> u32 {
          return ((a - 1u) / b + 1u);
         }
         ${m.mainStart(p)}

          let outputIndex = global_idx / ${p};
          let offset = outputIndex * uniforms.reduceSize;

          var bestValue = f32(${hp[r]});
          let Length = uniforms.reduceSize;
          for (var k = local_idx; k < Length; k = k + ${p}) {
           let candidate = f32(${c.getByOffset("offset + k")});
           bestValue = ${cp[r]};
          }
          aBestValues[local_idx] = bestValue;
          workgroupBarrier();

         var reduceSize = min(Length, ${p}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 = ${dp[r]};
            aBestValues[local_idx] = bestValue;
           }
           reduceSize = interval;
           workgroupBarrier();
         }

         if (local_idx == 0u) {
          ${h.setByOffset("outputIndex",`${r==="mean"?`${h.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${h.type.storage}(${pp[r]})`}`)};
         }
        }`,getRunData:()=>({outputs:[{dims:a,dataType:i}],dispatchGroup:{x:l},programUniforms:[{type:12,data:u}]})}},Er=(n,e,t,r)=>{let i=n.inputs.length===1?t:Gc(n.inputs,t),a=i.axes;a.length===0&&!i.noopWithEmptyAxes&&(a=n.inputs[0].dims.map((d,m)=>m));let s=Ee.normalizeAxes(a,n.inputs[0].dims.length),o=s,l=n.inputs[0],u=yp(o,n.inputs[0].dims.length);u.length>0&&(l=n.compute(pi(n.inputs[0],u),{inputs:[0],outputs:[-1]})[0],o=fp(o.length,l.dims.length));let[c,h]=mp(l.dims,o),p=c;i.keepDims&&(p=gp(c,s)),n.compute(vp(e,{hint:i.cacheKey,inputDependencies:["type"]},[l],r,n.inputs[0].dataType,p,h),{inputs:[l]})},C0=(n,e)=>{Er(n,"ReduceMeanShared",e,"mean")},$0=(n,e)=>{Er(n,"ReduceL1Shared",e,"l1")},R0=(n,e)=>{Er(n,"ReduceL2Shared",e,"l2")},I0=(n,e)=>{Er(n,"ReduceLogSumExpShared",e,"logSumExp")},P0=(n,e)=>{Er(n,"ReduceMaxShared",e,"max")},k0=(n,e)=>{Er(n,"ReduceMinShared",e,"min")},O0=(n,e)=>{Er(n,"ReduceProdShared",e,"prod")},D0=(n,e)=>{Er(n,"ReduceSumShared",e,"sum")},L0=(n,e)=>{Er(n,"ReduceSumSquareShared",e,"sumSquare")},z0=(n,e)=>{Er(n,"ReduceLogSumShared",e,"logSum")}}),Mr,wp,Ll,Gc,Tr,bp,xp,Sp,Ep,Mp,Tp,Ap,Cp,$p,Rp,Ar,N0,U0,B0,F0,G0,W0,V0,H0,q0,j0,Ad=Ce(()=>{bt(),Dt(),Mn(),Ot(),s2(),Mr=n=>{if(!n||n.length===0||n.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(n.length===2&&n[1].dims.length!==1)throw new Error("Invalid axes input dims.")},wp=n=>["","",`var value = ${n.getByIndices("input_indices")};`,""],Ll=(n,e,t,r,i,a,s=!1,o=!1)=>{let l=[],u=t[0].dims,c=u.length,h=Ee.normalizeAxes(i,c),p=!o&&h.length===0;u.forEach((y,g)=>{p||h.indexOf(g)>=0?s&&l.push(1):l.push(y)});let d=l.length,m=Ee.size(l);return{name:n,shaderCache:e,getShaderSource:y=>{let g=[],_=Te("_A",t[0].dataType,c),w=ct("output",a,d),b=r(_,w,h),E=b[2];for(let T=0,I=0;T<c;T++)p||h.indexOf(T)>=0?(s&&I++,E=`for(var j${T}: u32 = 0; j${T} < ${u[T]}; j${T}++) {
                  ${b[2].includes("last_index")?`let last_index = j${T};`:""}
                  ${_.indicesSet("input_indices",T,`j${T}`)}
                  ${E}
                }`):(g.push(`${_.indicesSet("input_indices",T,w.indicesGet("output_indices",I))};`),I++);return`

        ${y.registerUniform("output_size","u32").declareVariables(_,w)}

        ${y.mainStart()}
          ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          var input_indices: ${_.type.indices};
          let output_indices = ${w.offsetToIndices("global_idx")};

          ${g.join(`
`)}
          ${b[0]}       // init ops for reduce max/min
          ${b[1]}
          ${E}
          ${b[3]}
          ${b.length===4?w.setByOffset("global_idx","value"):b.slice(4).join(`
`)}
        }`},getRunData:()=>({outputs:[{dims:l,dataType:a}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:[{type:12,data:m},...gt(u,l)]})}},Gc=(n,e)=>{let t=[];return n[1].dims[0]>0&&n[1].getBigInt64Array().forEach(r=>t.push(Number(r))),sn({axes:t,keepDims:e.keepDims,noopWithEmptyAxes:e.noopWithEmptyAxes})},Tr=(n,e,t,r)=>{let i=n.inputs,a=i.length===1?t:Gc(i,t);n.compute(Ll(e,{hint:a.cacheKey,inputDependencies:["rank"]},[i[0]],a.noopWithEmptyAxes&&a.axes.length===0?wp:r,a.axes,i[0].dataType,a.keepDims,a.noopWithEmptyAxes),{inputs:[0]})},bp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceLogSum",e,(t,r)=>[`var value = ${r.type.storage}(0);`,"",`value += ${t.getByIndices("input_indices")};`,"value = log(value);"])},xp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceL1",e,(t,r)=>[`var value = ${r.type.storage}(0);`,"",`value += abs(${t.getByIndices("input_indices")});`,""])},Sp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceL2",e,(t,r)=>[`var t = ${r.type.value}(0); var value = ${r.type.value}(0);`,"",`t = ${t.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},Ep=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceLogSumExp",e,(t,r)=>[`var value = ${r.type.storage}(0);`,"",`value += exp(${t.getByIndices("input_indices")});`,"value = log(value);"])},Mp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceMax",e,(t,r,i)=>{let a=[];for(let s=0;s<t.rank;s++)(i.indexOf(s)>=0||i.length===0)&&a.push(t.indicesSet("input_indices",s,0));return[`${a.join(`
`)}`,`var value = ${t.getByIndices("input_indices")};`,`value = max(value, ${t.getByIndices("input_indices")});`,""]})},Tp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceMean",e,(t,r,i)=>{let a=1;for(let s=0;s<t.rank;s++)(i.indexOf(s)>=0||i.length===0)&&(a*=n.inputs[0].dims[s]);return["var sum = f32(0);","",`sum += f32(${t.getByIndices("input_indices")});`,`let value = ${r.type.value}(sum / ${a});`]})},Ap=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceMin",e,(t,r,i)=>{let a=[];for(let s=0;s<t.rank;s++)(i.indexOf(s)>=0||i.length===0)&&a.push(`input_indices[${s}] = 0;`);return[`${a.join(`
`)}`,`var value = ${t.getByIndices("input_indices")};`,`value = min(value, ${t.getByIndices("input_indices")});`,""]})},Cp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceProd",e,(t,r)=>[`var value = ${r.type.storage}(1);`,"",`value *= ${t.getByIndices("input_indices")};`,""])},$p=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceSum",e,(t,r)=>[`var value = ${r.type.storage}(0);`,"",`value += ${t.getByIndices("input_indices")};`,""])},Rp=(n,e)=>{Mr(n.inputs),Tr(n,"ReduceSumSquare",e,(t,r)=>[`var t = ${r.type.value}(0); var value = ${r.type.value}(0);`,"",`t = ${t.getByIndices("input_indices")}; value += t * t;`,""])},Ar=(n,e,t)=>{if(e.length===0)return t;let r=1,i=1;for(let a=0;a<e.length;a++)e.indexOf(a)===-1?r*=n[a]:i*=n[a];return i<32&&r>1024},N0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Tp(n,e):C0(n,e)},U0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?xp(n,e):$0(n,e)},B0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Sp(n,e):R0(n,e)},F0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Ep(n,e):I0(n,e)},G0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Mp(n,e):P0(n,e)},W0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Ap(n,e):k0(n,e)},V0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Cp(n,e):O0(n,e)},H0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?$p(n,e):D0(n,e)},q0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?Rp(n,e):L0(n,e)},j0=(n,e)=>{Ar(n.inputs[0].dims,e.axes,e.noopWithEmptyAxes)?bp(n,e):z0(n,e)}}),ku,X0,Y0,Wc,o2=Ce(()=>{bt(),Mn(),Ad(),ku=n=>{if(!n||n.length===0||n.length>2)throw new Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(n[0].dataType!==1)throw new Error("Invalid input type.")},X0=(n,e)=>{ku(n.inputs);let t=(r,i,a)=>{let s=[];for(let o=0;o<r.rank;o++)(a.indexOf(o)>=0||a.length===0)&&s.push(`input_indices[${o}] = 0;`);return[`${s.join(`
`)}`,`var value = ${r.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${r.getByIndices("input_indices")} ${e.selectLastIndex>0?"<=":"<"} value) {
         value = ${r.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",i.setByOffset("global_idx","best_index")]};n.compute(Ll("ArgMin",{hint:e.cacheKey,inputDependencies:["rank"]},[n.inputs[0]],t,[e.axis],7,e.keepDims),{inputs:[0]})},Y0=(n,e)=>{ku(n.inputs);let t=(r,i,a)=>{let s=[];for(let o=0;o<r.rank;o++)(a.indexOf(o)>=0||a.length===0)&&s.push(`input_indices[${o}] = 0;`);return[`${s.join(`
`)}`,`var value = ${r.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${r.getByIndices("input_indices")} ${e.selectLastIndex>0?">=":">"} value) {
         value = ${r.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",i.setByOffset("global_idx","best_index")]};n.compute(Ll("argMax",{hint:e.cacheKey,inputDependencies:["rank"]},[n.inputs[0]],t,[e.axis],7,e.keepDims),{inputs:[0]})},Wc=n=>sn(n)}),Ip,Pp,kp,zl,K0,Z0,Q0=Ce(()=>{bt(),Dt(),Mn(),Ot(),Ip=(n,e)=>{if(!n||n.length<1)throw new Error("too few inputs");let t=0,r=n[t],i=r.dataType,a=r.dims.length;n.forEach((s,o)=>{if(o!==t){if(s.dataType!==i)throw new Error("input tensors should be one type");if(s.dims.length!==a)throw new Error("input tensors should have the same shape");s.dims.forEach((l,u)=>{if(u!==e&&l!==r.dims[u])throw new Error("non concat dimensions must match")})}})},Pp=(n,e)=>`
  fn calculateInputIndex(index: u32) -> u32 {
    let sizeInConcatAxis = array<u32, ${n}u>(${e});
    for (var i: u32 = 0u; i < ${n}; i += 1u ) {
      if (index < sizeInConcatAxis[i]) {
        return i;
      }
    }
    return ${n}u;
  }`,kp=(n,e)=>{let t=n.length,r=[];for(let i=0;i<t;++i){let a=e.setByOffset("global_idx",n[i].getByIndices("indices"));t===1?r.push(a):i===0?r.push(`if (inputIndex == ${i}u) { ${a} }`):i===t-1?r.push(`else { ${a} }`):r.push(`else if (inputIndex == ${i}) { ${a} }`)}return r.join(`
`)},zl=(n,e,t,r)=>{let i=Ee.size(t),a=new Array(n.length),s=new Array(n.length),o=0,l=[],u=[],c=[{type:12,data:i}];for(let y=0;y<n.length;++y)o+=n[y].dims[e],a[y]=o,u.push(n[y].dims.length),s[y]=Te(`input${y}`,r,u[y]),l.push("rank"),c.push({type:12,data:a[y]});for(let y=0;y<n.length;++y)c.push(...gt(n[y].dims));c.push(...gt(t));let h=ct("output",r,t.length),p=h.indicesGet("indices",e),d=Array.from(Array(a.length).keys()).map(y=>`uniforms.sizeInConcatAxis${y}`).join(","),m=y=>`

  ${(()=>{y.registerUniform("outputSize","u32");for(let g=0;g<n.length;g++)y.registerUniform(`sizeInConcatAxis${g}`,"u32");return y.declareVariables(...s,h)})()}

  ${Pp(a.length,d)}

  ${y.mainStart()}
    ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

    var indices = ${h.offsetToIndices("global_idx")};

    let inputIndex = calculateInputIndex(${p});
    if (inputIndex != 0u) {
      let sizeInConcatAxis = array<u32, ${a.length}u>(${d});
      ${p} -= sizeInConcatAxis[inputIndex - 1u];
    }

    ${kp(s,h)}
  }`;return{name:"Concat",shaderCache:{hint:`${e}`,inputDependencies:l},getRunData:()=>({outputs:[{dims:t,dataType:r}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:c}),getShaderSource:m}},K0=(n,e)=>{let t=n.inputs,r=t[0].dims,i=Ee.normalizeAxis(e.axis,r.length);Ip(t,i);let a=r.slice();a[i]=t.reduce((o,l)=>o+(l.dims.length>i?l.dims[i]:0),0);let s=t.filter(o=>Ee.size(o.dims)>0);n.compute(zl(s,i,a,t[0].dataType),{inputs:s})},Z0=n=>sn({axis:n.axis})}),Op,Dp,Lp,zp,Nl,Np,J0,ey=Ce(()=>{bt(),Sd(),Ot(),Q0(),Op=(n,e)=>{let t=n[0],r=n[1],i=n[2],a=n[3],s=n[4],o=n[5];if(s&&o)throw new Error("Attention cannot have both past and relative_position_bias");if(t.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let l=t.dims[0],u=t.dims[1],c=t.dims[2];if(i.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(r.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(r.dims[0]!==c)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(i.dims[0]!==r.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let h=i.dims[0]/3,p=h,d=p;if(e.qkvHiddenSizes.length>0){if(e.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let b of e.qkvHiddenSizes)if(b%e.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");h=e.qkvHiddenSizes[0],p=e.qkvHiddenSizes[1],d=e.qkvHiddenSizes[2]}let m=u;if(h!==p)throw new Error("qkv_hidden_sizes first element should be same as the second");if(i.dims[0]!==h+p+d)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let y=0;if(s){if(p!==d)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(s.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(s.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(s.dims[1]!==l)throw new Error('Input "past" second dimension must be batch_size');if(s.dims[2]!==e.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(s.dims[4]!==p/e.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');e.pastPresentShareBuffer||(y=s.dims[3])}let g=m+y,_=-1,w=0;if(a)throw new Error("Mask not supported");if(s)throw new Error("past is not supported");return{batchSize:l,sequenceLength:u,pastSequenceLength:y,kvSequenceLength:m,totalSequenceLength:g,maxSequenceLength:_,inputHiddenSize:c,hiddenSize:h,vHiddenSize:d,headSize:Math.floor(h/e.numHeads),vHeadSize:Math.floor(d/e.numHeads),numHeads:e.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:e.maskFilterValue,maskType:w,scale:e.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Dp=(n,e,t,r)=>{let i=vn(r),a=64,s=r/i;s<a?a=1:s/8<64&&(a=Math.ceil(s/8));let o=Math.ceil(r/i/a),l=[{type:e.dataType,data:1/r},{type:12,data:s},{type:12,data:o}],u=Rn(e.dataType,i),c=tr(1,i),h=p=>{let d=ct("x",e.dataType,e.dims,i),m=[{name:"d_inv",type:tr(e.dataType)},{name:"d_comp",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`
  var<workgroup> thread_max: array<f32, ${a}>;
  var<workgroup> thread_sum: array<f32, ${a}>;
  ${p.registerUniforms(m).declareVariables(d)}
  ${p.mainStart([a,1,1])}
    let local_offset = local_idx * uniforms.elements_per_thread;
    let offset = workgroup_id.x * uniforms.d_comp + local_offset;

    var thread_max_vector = ${c}(-3.402823e+38f);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
      thread_max_vector = max(${c}(x[offset + i]), thread_max_vector);
    }
    thread_max[local_idx] = ${(()=>{switch(i){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: ${i}`)}})()};
    workgroupBarrier();

    var max_value =  f32(-3.402823e+38f);
    for (var i = 0u; i < ${a}; i++) {
      max_value = max(thread_max[i], max_value);
    }

    var sum_vector = ${c}(0);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
      sum_vector += exp(${c}(x[offset + i]) - max_value);
    }
    thread_sum[local_idx] = ${(()=>{switch(i){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: ${i}`)}})()};
    workgroupBarrier();

    var sum: f32 = 0;
    for (var i = 0u; i < ${a}; i++) {
      sum += thread_sum[i];
    }

    if (sum == 0) {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
        x[offset + i] = ${d.type.value}(uniforms.d_inv);
      }
    } else {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < uniforms.d_comp; i++) {
        var f32input = ${c}(x[offset + i]);
        x[offset + i] = ${d.type.value}(exp(f32input - max_value) / sum);
      }
    }
  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${a};${u};${i}`},getShaderSource:h,getRunData:()=>({outputs:[],dispatchGroup:{x:t},programUniforms:l})}},Lp=(n,e,t,r,i,a,s)=>{let o=s+i.kvSequenceLength,l=[i.batchSize,i.numHeads,i.sequenceLength,o],u=a.scale===0?1/Math.sqrt(i.headSize):a.scale,c=vn(i.headSize),h=i.headSize/c,p=12,d={x:Math.ceil(o/p),y:Math.ceil(i.sequenceLength/p),z:i.batchSize*i.numHeads},m=[{type:12,data:i.sequenceLength},{type:12,data:h},{type:12,data:o},{type:12,data:i.numHeads},{type:1,data:u}],y=r?["type","type","type"]:["type","type"],g=_=>{let w=Te("q",e.dataType,e.dims,c),b=Te("key",t.dataType,t.dims,c),E=[w,b];r&&E.push(Te("relative_position_bias",r.dataType,r.dims));let T=ct("output",e.dataType,l),I=tr(1,c),C=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"alpha",type:"f32"}];return`
  const TILE_SIZE = ${p}u;

  var<workgroup> tileQ: array<${w.type.storage}, ${p*p}>;
  var<workgroup> tileK: array<${w.type.storage}, ${p*p}>;
  ${_.registerUniforms(C).declareVariables(...E,T)}
  ${_.mainStart([p,p,1])}
    // x holds the N and y holds the M
    let headIdx = workgroup_id.z;
    let m = workgroup_id.y * TILE_SIZE;
    let n = workgroup_id.x * TILE_SIZE;
    let qOffset = uniforms.M * uniforms.K * headIdx + m * uniforms.K;
    let kOffset = uniforms.N * uniforms.K * headIdx + n * uniforms.K;

    var value = ${I}(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) {
        tileK[TILE_SIZE * local_id.y + local_id.x] = key[kOffset + local_id.y * uniforms.K + w + local_id.x];
      }
      workgroupBarrier();

      for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
        value += ${I}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);
      }

      workgroupBarrier();
    }

    let headOffset = headIdx * uniforms.M * uniforms.N;
    if (global_id.y < uniforms.M && global_id.x < uniforms.N) {
      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;
      var sum: f32 = ${(()=>{switch(c){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: ${c}`)}})()};
        output[outputIdx] = ${T.type.value} (sum * uniforms.alpha) + ${r?"relative_position_bias[outputIdx]":"0.0"};
    }
  }`};return{name:"AttentionProbs",shaderCache:{hint:`${c}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:l,dataType:e.dataType,gpuDataType:0}],dispatchGroup:d,programUniforms:m}),getShaderSource:g}},zp=(n,e,t,r,i)=>{let a=i+r.kvSequenceLength,s=[r.batchSize,r.sequenceLength,r.vHiddenSize],o=12,l={x:Math.ceil(r.vHeadSize/o),y:Math.ceil(r.sequenceLength/o),z:r.batchSize*r.numHeads},u=[{type:12,data:r.sequenceLength},{type:12,data:a},{type:12,data:r.vHeadSize},{type:12,data:r.numHeads},{type:12,data:r.vHiddenSize}];return{name:"AttentionScore",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:s,dataType:e.dataType,gpuDataType:0}],dispatchGroup:l,programUniforms:u}),getShaderSource:c=>{let h=Te("probs",e.dataType,e.dims),p=Te("v",t.dataType,t.dims),d=ct("output",e.dataType,s),m=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"v_hidden_size",type:"u32"}];return`
  const TILE_SIZE = ${o}u;
  var<workgroup> tileQ: array<${h.type.value}, ${o*o}>;
  var<workgroup> tileK: array<${h.type.value}, ${o*o}>;
  ${c.registerUniforms(m).declareVariables(h,p,d)}
  ${c.mainStart([o,o,1])}
   let headIdx = workgroup_id.z;
   let m = global_id.y;
   let n = global_id.x;

   let offsetA = headIdx * (uniforms.M * uniforms.K) + m * uniforms.K;
   let offsetB = headIdx * (uniforms.N * uniforms.K) + n;

   var value = ${h.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) {
       tileK[TILE_SIZE * local_id.y + local_id.x] = v[offsetB + (w + local_id.y) * uniforms.N];
     }
     workgroupBarrier();
     for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {
       value += tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * k + local_id.x];
     }
     workgroupBarrier();
   }

   // we need to transpose output from BNSH_v to BSND_v
   let batchIdx = workgroup_id.z / uniforms.num_heads;
   let currentBatchHeadNumber = workgroup_id.z % uniforms.num_heads;
   if (m < uniforms.M && n < uniforms.N) {
     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size
       + currentBatchHeadNumber * uniforms.N + n;
     output[outputIdx] = value;
   }
  }`}}},Nl=(n,e,t,r,i,a,s,o,l,u,c)=>{let h=n.outputCount>1,p=n.outputCount>2,d=h&&p?u.pastSequenceLength:0,m=d+u.kvSequenceLength,y=[u.batchSize,u.numHeads,m,u.headSize],g=s?[s,t]:[t],_=h?n.compute(zl(g,2,y,t.dataType),{inputs:g,outputs:[1]})[0]:t,w=[u.batchSize,u.numHeads,m,u.headSize],b=o?[o,r]:[r],E=p?n.compute(zl(b,2,w,r.dataType),{inputs:b,outputs:[2]})[0]:r,T=[e,_];l&&T.push(l);let I=n.compute(Lp(n,e,_,l,u,c,d),{inputs:T,outputs:[-1]})[0];n.compute(Dp(n,I,u.batchSize*u.numHeads*u.sequenceLength,m),{inputs:[I],outputs:[]});let C=[I,E];n.compute(zp(n,I,E,u,d),{inputs:C,outputs:[0]})},Np=(n,e)=>{let t=[e.batchSize,e.numHeads,e.sequenceLength,e.headSize],r=e.sequenceLength,i=e.inputHiddenSize,a=e.headSize,s=12,o={x:Math.ceil(e.headSize/s),y:Math.ceil(e.sequenceLength/s),z:e.batchSize*e.numHeads},l=[n.inputs[0],n.inputs[1],n.inputs[2]],u=[{type:12,data:r},{type:12,data:i},{type:12,data:a},{type:12,data:e.numHeads},{type:12,data:e.headSize},{type:12,data:e.hiddenSize},{type:12,data:e.hiddenSize+e.hiddenSize+e.vHiddenSize}],c=h=>{let p=ct("output_q",l[0].dataType,t),d=ct("output_k",l[0].dataType,t),m=ct("output_v",l[0].dataType,t),y=Te("input",l[0].dataType,l[0].dims),g=Te("weight",l[1].dataType,l[1].dims),_=Te("bias",l[2].dataType,l[2].dims),w=y.type.storage,b=[{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 = ${s}u;
  var<workgroup> tileInput: array<${w}, ${s*s}>;
  var<workgroup> tileWeightQ: array<${w}, ${s*s}>;
  var<workgroup> tileWeightK: array<${w}, ${s*s}>;
  var<workgroup> tileWeightV: array<${w}, ${s*s}>;
  ${h.registerUniforms(b).declareVariables(y,g,_,p,d,m)}
  ${h.mainStart([s,s,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 = ${w}(0);
    var valueK = ${w}(0);
    var valueV = ${w}(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 n.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:t,dataType:n.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:n.inputs[0].dataType,gpuDataType:0},{dims:t,dataType:n.inputs[0].dataType,gpuDataType:0}],dispatchGroup:o,programUniforms:u}),getShaderSource:c},{inputs:l,outputs:[-1,-1,-1]})},J0=(n,e)=>{let t=Op(n.inputs,e),[r,i,a]=Np(n,t);return Nl(n,r,i,a,n.inputs[4],void 0,void 0,void 0,n.inputs[5],t,e)}}),Up,Bp,Fp,ty,l2=Ce(()=>{Ur(),bt(),Dt(),Mn(),Ot(),Up=(n,e)=>{if(!n||n.length!==5)throw new Error("BatchNormalization requires 5 inputs");let t=(r,i,a)=>{let s=i.length;if(s!==r.length)throw new Error(`${a}: num dimensions != ${s}`);i.forEach((o,l)=>{if(o!==r[l])throw new Error(`${a}: dim[${l}] do not match`)})};if(n[0].dims.length>1){let r=e.format==="NHWC"?e.spatial?n[0].dims.slice(-1):n[0].dims.slice(-1).concat(n[0].dims.slice(1,n[0].dims.length-1)):n[0].dims.slice(1,e.spatial?2:void 0);t(n[1].dims,r,"Invalid input scale"),t(n[2].dims,r,"Invalid input B"),t(n[3].dims,r,"Invalid input mean"),t(n[4].dims,r,"Invalid input var")}else t(n[1].dims,[1],"Invalid input scale"),t(n[2].dims,[1],"Invalid input B"),t(n[3].dims,[1],"Invalid input mean"),t(n[4].dims,[1],"Invalid input var")},Bp=(n,e)=>{let{epsilon:t,spatial:r,format:i}=e,a=n[0].dims,s=r?vn(a[a.length-1]):1,o=i==="NHWC"&&a.length>1?s:1,l=Ee.size(a)/s,u=r,c=u?a.length:a,h=Te("x",n[0].dataType,n[0].dims,s),p=Te("scale",n[1].dataType,n[1].dims,o),d=Te("bias",n[2].dataType,n[2].dims,o),m=Te("inputMean",n[3].dataType,n[3].dims,o),y=Te("inputVar",n[4].dataType,n[4].dims,o),g=ct("y",n[0].dataType,c,s),_=()=>{let b="";if(r)b=`let cOffset = ${a.length===1?"0u":i==="NHWC"?`outputIndices[${a.length-1}] / ${s}`:"outputIndices[1]"};`;else if(i==="NCHW")b=`
            ${g.indicesSet("outputIndices","0","0")}
            let cOffset = ${g.indicesToOffset("outputIndices")};`;else{b=`var cIndices = ${p.type.indices}(0);
                       cIndices[0] = outputIndices[${a.length-1}];`;for(let E=1;E<p.rank;E++)b+=`cIndices[${E}] = outputIndices[${E}];`;b+=`let cOffset = ${p.indicesToOffset("cIndices")};`}return b},w=b=>`
  const epsilon = ${t};
  ${b.registerUniform("outputSize","u32").declareVariables(h,p,d,m,y,g)}
  ${b.mainStart()}
  ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
    var outputIndices = ${g.offsetToIndices(`global_idx * ${s}`)};
    ${_()}
    let scale = ${p.getByOffset("cOffset")};
    let bias = ${d.getByOffset("cOffset")};
    let inputMean = ${m.getByOffset("cOffset")};
    let inputVar = ${y.getByOffset("cOffset")};
    let x = ${h.getByOffset("global_idx")};
    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
    ${g.setByOffset("global_idx","value")}
  }`;return{name:"BatchNormalization",shaderCache:{hint:`${e.epsilon}_${e.format}_${r}_${s}`,inputDependencies:u?["rank","type","type","type","type"]:void 0},getShaderSource:w,getRunData:()=>({outputs:[{dims:n[0].dims,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u?[{type:12,data:l},...gt(a)]:[{type:12,data:l}]})}},Fp=n=>sn(n),ty=(n,e)=>{let{inputs:t,outputCount:r}=n,i=Fp({...e,outputCount:r});if(Kt.webgpu.validateInputContent&&Up(t,i),e.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");n.compute(Bp(t,i))}}),Gp,Wp,ny,u2=Ce(()=>{Dt(),Ot(),Gp=n=>{if(n[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(n[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(n[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(n[0].dims[2]!==n[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Wp=n=>{let e=n[0].dims,t=n[0].dims[2],r=Ee.size(e)/4,i=n[0].dataType,a=Te("input",i,e,4),s=Te("bias",i,[t],4),o=Te("residual",i,e,4),l=ct("output",i,e,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:e,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(r/64)}}),getShaderSource:u=>`
  const channels = ${t}u / 4;
  ${u.declareVariables(a,s,o,l)}

  ${u.mainStart()}
    ${u.guardAgainstOutOfBoundsWorkgroupSizes(r)}
    let value = ${a.getByOffset("global_idx")}
      + ${s.getByOffset("global_idx % channels")} + ${o.getByOffset("global_idx")};
    ${l.setByOffset("global_idx","value")}
  }`}},ny=n=>{Gp(n.inputs),n.compute(Wp(n.inputs))}}),Vp,Gt,ry,iy,ay,sy,oy,ly,uy,cy,dy,Hp,hy,py,fy,my,xl,gy,Sl,_y,yy,vy,wy,by,xy,Sy,Ey,My,Ty,Ay,Cy,$y,Ry,Iy,Py,Ou,ky,Vc,Hc,Oy,Dy,Ly,Cd=Ce(()=>{bt(),Dt(),Mn(),Ot(),Vp=(n,e,t,r,i,a)=>{let s=Math.ceil(e/4),o="";typeof i=="string"?o=`${i}(a)`:o=i("a");let l=Te("inputData",t,[s],4),u=ct("outputData",r,[s],4);return`
      ${n.registerUniform("vec_size","u32").declareVariables(l,u)}

  ${a??""}

  ${n.mainStart()}
    ${n.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}

    let a = ${l.getByOffset("global_idx")};
    ${u.setByOffset("global_idx",o)}
  }`},Gt=(n,e,t,r,i,a=n.dataType)=>({name:e,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:s=>Vp(s,Ee.size(n.dims),n.dataType,a,t,r),getRunData:s=>({outputs:[{dims:n.dims,dataType:a}],dispatchGroup:{x:Math.ceil(Ee.size(s[0].dims)/64/4)},programUniforms:[{type:12,data:Math.ceil(Ee.size(n.dims)/4)}]})}),ry=n=>{n.compute(Gt(n.inputs[0],"Abs","abs"))},iy=n=>{n.compute(Gt(n.inputs[0],"Acos","acos"))},ay=n=>{n.compute(Gt(n.inputs[0],"Acosh","acosh"))},sy=n=>{n.compute(Gt(n.inputs[0],"Asin","asin"))},oy=n=>{n.compute(Gt(n.inputs[0],"Asinh","asinh"))},ly=n=>{n.compute(Gt(n.inputs[0],"Atan","atan"))},uy=n=>{n.compute(Gt(n.inputs[0],"Atanh","atanh"))},cy=n=>sn(n),dy=(n,e)=>{let t;switch(e.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): ${e.to}`)}n.compute(Gt(n.inputs[0],"Cast",t,void 0,e.cacheKey,e.to))},Hp=n=>{let e=n.length>=2&&n[1].data!==0?n[1].getFloat32Array()[0]:Ed,t=n.length>=3&&n[2].data!==0?n[2].getFloat32Array()[0]:Md;return sn({min:e,max:t})},hy=(n,e)=>{let t=n.inputs.length===1?e:Hp(n.inputs),r=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"Clip",i=>`clamp(${i}, clip_min_, clip_max_)`,`
    const clip_min_: vec4<${r}> = vec4(${r}(${t.min}));
    const clip_max_: vec4<${r}> = vec4(${r}(${t.max}));
`,t.cacheKey),{inputs:[0]})},py=n=>{n.compute(Gt(n.inputs[0],"Ceil","ceil"))},fy=n=>{n.compute(Gt(n.inputs[0],"Cos","cos"))},my=n=>{n.compute(Gt(n.inputs[0],"Cosh","cosh"))},xl=n=>sn(n),gy=(n,e)=>{let t=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"Elu",r=>`elu_vf32(${r})`,`
  const elu_alpha_ = ${t}(${e.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));
  }`,e.cacheKey))},Sl=(n="f32")=>`
const r0: ${n} = 0.3275911;
const r1: ${n} = 0.254829592;
const r2: ${n} = -0.284496736;
const r3: ${n} = 1.421413741;
const r4: ${n} = -1.453152027;
const r5: ${n} = 1.061405429;

fn erf_vf32(v: vec4<${n}>) -> vec4<${n}> {
  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));
}`,_y=n=>{let e=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"Erf",t=>`erf_vf32(${t})`,Sl(e)))},yy=n=>{n.compute(Gt(n.inputs[0],"Exp","exp"))},vy=n=>{n.compute(Gt(n.inputs[0],"Floor","floor"))},wy=n=>{let e=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"Gelu",t=>`0.5 * ${t} * (1.0 + erf_vf32(${t} * 0.7071067811865475))`,Sl(e)))},by=(n,e)=>{let t=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"LeakyRelu",r=>`select(leaky_relu_alpha_ * ${r}, ${r}, ${r} >= vec4<${t}>(0.0))`,`const leaky_relu_alpha_ = ${t}(${e.alpha});`,e.cacheKey))},xy=n=>{n.compute(Gt(n.inputs[0],"Not",e=>`!${e}`))},Sy=n=>{n.compute(Gt(n.inputs[0],"Neg",e=>`-${e}`))},Ey=n=>{n.compute(Gt(n.inputs[0],"Reciprocal",e=>`1.0/${e}`))},My=n=>{let e=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"Relu",t=>`select(vec4<${e}>(0.0), ${t}, ${t} > vec4<${e}>(0.0))`))},Ty=n=>{n.compute(Gt(n.inputs[0],"Sigmoid",e=>`(1.0 / (1.0 + exp(-${e})))`))},Ay=n=>sn(n),Cy=(n,e)=>{let t=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"HardSigmoid",r=>`max(vec4<${t}>(0.0), min(vec4<${t}>(1.0), ${e.alpha} * ${r} + vec4<${t}>(${e.beta})))`,void 0,e.cacheKey))},$y=n=>{n.compute(Gt(n.inputs[0],"Sin","sin"))},Ry=n=>{n.compute(Gt(n.inputs[0],"Sinh","sinh"))},Iy=n=>{n.compute(Gt(n.inputs[0],"Sqrt","sqrt"))},Py=n=>{n.compute(Gt(n.inputs[0],"Tan","tan"))},Ou=n=>`sign(${n}) * (1 - exp(-2 * abs(${n}))) / (1 + exp(-2 * abs(${n})))`,ky=n=>{n.compute(Gt(n.inputs[0],"Tanh",Ou))},Vc=(n="f32")=>`
const fast_gelu_a: ${n} = 0.5;
const fast_gelu_b: ${n} = 0.7978845608028654;
const fast_gelu_c: ${n} = 0.035677408136300125;

fn tanh_v(v: vec4<${n}>) -> vec4<${n}> {
  return ${Ou("v")};
}
`,Hc=n=>`(fast_gelu_a + fast_gelu_a * tanh_v(${n} * (fast_gelu_c * ${n} * ${n} + fast_gelu_b))) * ${n}`,Oy=n=>{let e=tr(n.inputs[0].dataType);n.compute(Gt(n.inputs[0],"FastGelu",Hc,Vc(e),void 0,n.inputs[0].dataType))},Dy=(n,e)=>{let t=tr(n.inputs[0].dataType);return n.compute(Gt(n.inputs[0],"ThresholdedRelu",r=>`select(vec4<${t}>(0.0), ${r}, ${r} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${t}>(${e.alpha});`,e.cacheKey)),0},Ly=n=>{n.compute(Gt(n.inputs[0],"Log","log"))}}),qp,jp,zy,c2=Ce(()=>{Dt(),Ot(),Cd(),qp=n=>{if(n[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(n[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(n[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(n[0].dims[2]!==n[1].dims[0])throw new Error("last dimension of input and bias are not the same")},jp=n=>{let e=n[0].dims.slice();e[2]=e[2]/2;let t=Te("input",n[0].dataType,n[0].dims,4),r=Te("bias",n[0].dataType,[n[0].dims[2]],4),i=ct("output",n[0].dataType,e,4),a=Ee.size(e)/4,s=Rn(n[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:e,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)}}),getShaderSource:o=>`
  const M_SQRT2 = sqrt(2.0);
  const halfChannels = ${n[0].dims[2]/4/2}u;

  ${o.declareVariables(t,r,i)}

  ${Sl(s)}

  ${o.mainStart()}
    ${o.guardAgainstOutOfBoundsWorkgroupSizes(a)}
    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);

    ${i.setByOffset("global_idx","valueLeft * geluRight")}
  }`}},zy=n=>{qp(n.inputs),n.compute(jp(n.inputs))}}),Xp,Yp,Cr,Ny,Uy,By,Fy,Gy,Wy,Vy,Hy,qy,jy,d2=Ce(()=>{bt(),Dt(),Ot(),Xp=(n,e,t,r,i,a,s,o,l,u,c,h)=>{let p,d;typeof o=="string"?p=d=(w,b)=>`${o}((${w}),(${b}))`:typeof o=="function"?p=d=o:(p=o.scalar,d=o.vector);let m=ct("outputData",c,r.length,4),y=Te("aData",l,e.length,4),g=Te("bData",u,t.length,4),_;if(i)if(a){let w=Ee.size(e)===1,b=Ee.size(t)===1,E=e.length>0&&e[e.length-1]%4===0,T=t.length>0&&t[t.length-1]%4===0;w||b?_=m.setByOffset("global_idx",d(w?`${y.type.value}(${y.getByOffset("0")}.x)`:y.getByOffset("global_idx"),b?`${g.type.value}(${g.getByOffset("0")}.x)`:g.getByOffset("global_idx"))):_=`
            let outputIndices = ${m.offsetToIndices("global_idx * 4u")};
            let offsetA = ${y.broadcastedIndicesToOffset("outputIndices",m)};
            let offsetB = ${g.broadcastedIndicesToOffset("outputIndices",m)};
            ${m.setByOffset("global_idx",d(s||E?y.getByOffset("offsetA / 4u"):`${y.type.value}(${y.getByOffset("offsetA / 4u")}[offsetA % 4u])`,s||T?g.getByOffset("offsetB / 4u"):`${g.type.value}(${g.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
          `}else _=m.setByOffset("global_idx",d(y.getByOffset("global_idx"),g.getByOffset("global_idx")));else{if(!a)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let w=(b,E,T="")=>{let I=`aData[indexA${E}][componentA${E}]`,C=`bData[indexB${E}][componentB${E}]`;return`
            let outputIndices${E} = ${m.offsetToIndices(`global_idx * 4u + ${E}u`)};
            let offsetA${E} = ${y.broadcastedIndicesToOffset(`outputIndices${E}`,m)};
            let offsetB${E} = ${g.broadcastedIndicesToOffset(`outputIndices${E}`,m)};
            let indexA${E} = offsetA${E} / 4u;
            let indexB${E} = offsetB${E} / 4u;
            let componentA${E} = offsetA${E} % 4u;
            let componentB${E} = offsetB${E} % 4u;
            ${b}[${E}] = ${T}(${p(I,C)});
          `};c===9?_=`
            var data = vec4<u32>(0);
            ${w("data",0,"u32")}
            ${w("data",1,"u32")}
            ${w("data",2,"u32")}
            ${w("data",3,"u32")}
            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:_=`
            ${w("outputData[global_idx]",0)}
            ${w("outputData[global_idx]",1)}
            ${w("outputData[global_idx]",2)}
            ${w("outputData[global_idx]",3)}
          `}return`
        ${n.registerUniform("vec_size","u32").declareVariables(y,g,m)}

        ${h??""}

        ${n.mainStart()}
        ${n.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${_}
      }`},Yp=(n,e,t,r,i,a,s=t.dataType)=>{let o=!Ee.areEqual(t.dims,r.dims),l=t.dims,u=Ee.size(t.dims),c=!1,h=!1,p=[o];if(o){let d=os.calcShape(t.dims,r.dims,!1);if(!d)throw new Error("Can't perform binary op on the given tensors");l=d,u=Ee.size(l);let m=Ee.size(t.dims)===1,y=Ee.size(r.dims)===1,g=t.dims.length>0&&t.dims[t.dims.length-1]%4===0,_=r.dims.length>0&&r.dims[r.dims.length-1]%4===0;p.push(m),p.push(y),p.push(g),p.push(_);let w=1;for(let b=1;b<l.length;b++){let E=t.dims[t.dims.length-b]??1,T=r.dims[r.dims.length-b]??1;if(E===T)w*=E;else break}w%4===0?(h=!0,c=!0):(m||y||g||_)&&(c=!0)}else c=!0;return p.push(c),{name:n,shaderCache:{hint:e+p.map(d=>d.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:d=>Xp(d,t.dims,r.dims,l,c,o,h,i,t.dataType,r.dataType,s,a),getRunData:()=>({outputs:[{dims:l,dataType:s}],dispatchGroup:{x:Math.ceil(u/64/4)},programUniforms:[{type:12,data:Math.ceil(Ee.size(l)/4)},...gt(t.dims,r.dims,l)]})}},Cr=(n,e,t,r,i,a)=>{n.compute(Yp(e,i??"",n.inputs[0],n.inputs[1],t,r,a))},Ny=n=>{Cr(n,"Add",(e,t)=>`${e}+${t}`)},Uy=n=>{Cr(n,"Div",(e,t)=>`${e}/${t}`)},By=n=>{Cr(n,"Equal",{scalar:(e,t)=>`u32(${e}==${t})`,vector:(e,t)=>`vec4<u32>(${e}==${t})`},void 0,void 0,9)},Fy=n=>{Cr(n,"Mul",(e,t)=>`${e}*${t}`)},Gy=n=>{let e=Te("input",n.inputs[0].dataType,n.inputs[0].dims).type.value;Cr(n,"Pow",{scalar:(t,r)=>`pow_custom(${t},${r})`,vector:(t,r)=>`pow_vector_custom(${t},${r})`},`
    fn pow_custom(a : ${e}, b : ${e}) -> ${e} {
      if (b == ${e}(0.0)) {
        return ${e}(1.0);
      } else if (a < ${e}(0.0) && f32(b) != floor(f32(b))) {
        return ${e}(pow(f32(a), f32(b))); // NaN
      }
      return select(sign(a), ${e}(1.0), round(f32(abs(b) % ${e}(2.0))) != 1.0) * ${e}(${e==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
    }
    fn pow_vector_custom(a : vec4<${e}>, b : vec4<${e}>) -> vec4<${e}> {
      // TODO: implement vectorized pow
      return vec4<${e}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
    }
      `)},Wy=n=>{Cr(n,"Sub",(e,t)=>`${e}-${t}`)},Vy=n=>{Cr(n,"Greater",{scalar:(e,t)=>`u32(${e}>${t})`,vector:(e,t)=>`vec4<u32>(${e}>${t})`},void 0,void 0,9)},Hy=n=>{Cr(n,"Less",{scalar:(e,t)=>`u32(${e}<${t})`,vector:(e,t)=>`vec4<u32>(${e}<${t})`},void 0,void 0,9)},qy=n=>{Cr(n,"GreaterOrEqual",{scalar:(e,t)=>`u32(${e}>=${t})`,vector:(e,t)=>`vec4<u32>(${e}>=${t})`},void 0,void 0,9)},jy=n=>{Cr(n,"LessOrEqual",{scalar:(e,t)=>`u32(${e}<=${t})`,vector:(e,t)=>`vec4<u32>(${e}<=${t})`},void 0,void 0,9)}}),fa,ma,ga,$d,ba=Ce(()=>{bt(),Dt(),fa=(n,e,t="f32")=>{switch(n.activation){case"Relu":return`value = max(value, ${e}(0.0));`;case"Sigmoid":return`value = (${e}(1.0) / (${e}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${e}(${t}(uniforms.clip_min)), ${e}(${t}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${e}(0.0), min(${e}(1.0), ${t}(uniforms.alpha) * value + ${t}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${t}(uniforms.alpha) * value, value, value >= ${e}(0.0));`;case"":return"";default:throw new Error(`Unsupported activation ${n.activation}`)}},ma=(n,e)=>{n.activation==="Clip"?e.push({type:1,data:n.clipMax},{type:1,data:n.clipMin}):n.activation==="HardSigmoid"?e.push({type:1,data:n.alpha},{type:1,data:n.beta}):n.activation==="LeakyRelu"&&e.push({type:1,data:n.alpha})},ga=(n,e)=>{n.activation==="Clip"?e.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):n.activation==="HardSigmoid"?e.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):n.activation==="LeakyRelu"&&e.push({name:"alpha",type:"f32"})},$d=n=>{let e=n?.activation||"";if(e==="HardSigmoid"){let[t,r]=n?.activation_params||[.2,.5];return{activation:e,alpha:t,beta:r}}else if(e==="Clip"){let[t,r]=n?.activation_params||[Ed,Md];return{activation:e,clipMax:r,clipMin:t}}else if(e==="LeakyRelu"){let[t]=n?.activation_params||[.01];return{activation:e,alpha:t}}return{activation:e}}}),Hn,Rd,Id=Ce(()=>{Hn=(n,e)=>{switch(n){case 1:return e;case 2:return`vec2<${e}>`;case 3:return`vec3<${e}>`;case 4:return`vec4<${e}>`;default:throw new Error(`${n}-component is not supported.`)}},Rd=n=>`
      ${n?"value = value + getBiasByOutputCoords(coords);":""}
      `}),Pd,Xy=Ce(()=>{Pd=n=>`
fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
}
fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
    i32(${n}.x), i32(${n}.y), i32(${n}.z), 1));
}
`}),Kp,Zp,Ul,Du,Qp,Bl,Jp,kd,eu=Ce(()=>{bt(),Dt(),Ot(),ba(),Id(),Kp=(n,e)=>n?`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          kStart + inputRow,
          globalRowStart / innerElementSize + inputCol${e?", batchIndices":""});
        `:`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          globalRow + innerRow,
          kStart / innerElementSize + inputCol${e?", batchIndices":""});
        `,Zp=(n,e)=>n?`
        let ACached0 = mm_Asub[k * innerElementSize][localRow];
        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
        ${e===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];
          ${e===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];
          ${e===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
        }`,Ul=(n,e,t="f32",r,i=!1,a=32,s=!1,o=32)=>{let l=e[1]*n[1],u=e[0]*n[0],c=i?l:a,h=i?a:l,p=c/e[0],d=a/e[1];if(!((i&&p===4&&n[1]===4||!i&&(p===3||p===4))&&c%e[0]===0&&a%e[1]===0&&n[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${p} and workPerThread[1] ${n[1]} must be 4.
      Otherwise, innerElementSize ${p} must be 3 or 4.
  tileAWidth ${c} must be divisible by workgroupSize[0]${e[0]}. tileInner ${a} must be divisible by workgroupSize[1] ${e[1]}. colPerThread ${n[0]} must be 4.`);return`
var<workgroup> mm_Asub: array<array<vec${p}<${t}>, ${c/p}>, ${h}>;
var<workgroup> mm_Bsub: array<array<vec4<${t}>, ${u/n[0]}>, ${a}>;

const rowPerThread = ${n[1]};
const colPerThread = ${n[0]};
const innerElementSize = ${p};
const tileInner = ${a};

@compute @workgroup_size(${e[0]}, ${e[1]}, ${e[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 = ${s?"0":"i32(globalId.z)"};
  ${r?`let batchIndices = ${r.offsetToIndices("u32(batch)")};`:""}
  let globalRowStart = i32(workgroupId.y) * ${l};

  let num_tiles = ${s?`${Math.ceil(o/a)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
  var kStart = ${s?`i32(globalId.z) * ${o}`:"0"};

  var acc: array<vec4<${t}>, rowPerThread>;

  // Loop over shared dimension.
  let tileRowB = localRow * ${d};
  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;
          ${Kp(i,r)}
      }

      // Load one tile of B into local memory.
      for (var innerRow = 0; innerRow < ${d}; innerRow = innerRow + 1) {
          let inputRow = tileRowB + innerRow;
          let inputCol = tileCol;
          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${r?", 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];
          ${p===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}

          ${Zp(i,p)}
      }

      workgroupBarrier();
  }

  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
  }
}`},Du=(n,e)=>n?`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              kStart + inputRow,
              globalRowStart + inputCol${e?", batchIndices":""});
            `:`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              globalRowStart + inputRow,
              kStart + inputCol${e?", batchIndices":""});
            `,Qp=n=>n?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",Bl=(n,e,t="f32",r,i=!1,a=32,s=!1,o=32,l=!1)=>{let u=n[1]*e[1],c=n[0]*e[0],h=i?u:a,p=i?a:u;if(!(p%e[1]===0&&h%e[0]===0&&a%e[1]===0))throw new Error(`tileAHight ${p} must be divisible by workgroupSize[1]${e[1]}, tileAWidth ${h} must be divisible by workgroupSize[0]${e[0]}, tileInner ${a} must be divisible by workgroupSize[1]${e[1]}`);let d=p/e[1],m=h/e[0],y=a/e[1],g=l?`
    let localRow = i32(localId.y);
    let localCol = i32(localId.x);
    let globalRowStart = i32(workgroupId.y) * ${u};
    let globalColStart = i32(workgroupId.x) * ${c};

    // 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 < ${p}; inputRow = inputRow + ${e[1]}) {
        for (var inputCol = localCol; inputCol < ${h}; inputCol = inputCol + ${e[0]}) {
          ${Du(i,r)}
        }
      }
      // Load one tile of B into local memory.
      for (var inputRow = localRow; inputRow < ${a}; inputRow = inputRow + ${e[1]}) {
            for (var inputCol = localCol; inputCol < ${c}; inputCol = inputCol + ${e[0]}) {
          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
            kStart + inputRow,
            globalColStart + inputCol${r?", 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 * ${e[0]}];
        }
        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
          let ACached = ${i?`mm_Asub[k][localRow + innerRow * ${e[1]}];`:`mm_Asub[localRow + innerRow * ${e[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 * ${e[1]};
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        let gCol = globalColStart + localCol + innerCol * ${e[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) * ${u};

let tileRowA = i32(localId.y) * ${d};
let tileColA = i32(localId.x) * ${m};
let tileRowB = i32(localId.y) * ${y};
// 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 < ${d}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < ${m}; innerCol = innerCol + 1) {
      let inputRow = tileRowA + innerRow;
      let inputCol = tileColA + innerCol;
      ${Du(i,r)}
    }
  }

  // Load one tile of B into local memory.
  for (var innerRow = 0; innerRow < ${y}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
      let inputRow = tileRowB + innerRow;
      let inputCol = tileCol + innerCol;
      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
        kStart + inputRow,
        globalCol + innerCol${r?", 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) {
      ${Qp(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}, ${h}>, ${p}>;
  var<workgroup> mm_Bsub : array<array<${t}, ${c}>, ${a}>;
  const rowPerThread = ${n[1]};
  const colPerThread = ${n[0]};
  const tileInner = ${a};

@compute @workgroup_size(${e[0]}, ${e[1]}, ${e[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 = ${s?"0":"i32(globalId.z)"};
    ${r?`let batchIndices = ${r.offsetToIndices("u32(batch)")};`:""}
    let num_tiles = ${s?`${Math.ceil(o/a)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};
    var kStart = ${s?`i32(globalId.z) * ${o}`:"0"};

    var acc : array<array<${t}, colPerThread>, rowPerThread>;

    // Without this initialization strange values show up in acc.
    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        acc[innerRow][innerCol] = 0.0;
      }
    }
    ${g}
  }
`},Jp=(n,e,t,r,i,a=!1)=>{let[s,o,l]=i,[u,c,h,p]=r,d=Ys(s,l),m=Ys(o,l),y=Rn(r[0].type.tensor),g=()=>{let w=c.rank,b=u.rank,E=`var aIndices: ${c.type.indices};`;for(let T=w-2-1,I=b-1;T>=0;T--,I--)E+=`
aIndices[${T}] = ${b>1?`batchIndices[${I}]`:"batchIndices"};`;return d.forEach(T=>{E+=`
aIndices[${T}] = 0;`}),E+=`
aIndices[${w-2}] = u32(row);
                   aIndices[${w-1}] = u32(colIn);`,E},_=()=>{let w=h.rank,b=u.rank,E=`var bIndices: ${h.type.indices};`;for(let T=w-2-1,I=b-1;T>=0;T--,I--)E+=`
bIndices[${T}] = ${b>1?`batchIndices[${I}]`:"batchIndices"};`;return m.forEach(T=>{E+=`
bIndices[${T}] = 0;`}),E+=`
bIndices[${w-2}] = u32(row);
                   bIndices[${w-1}] = u32(colIn);`,E};return`
    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${u.type.indices}) -> ${Hn(n,y)} {
      var value = ${Hn(n,y)}(0.0);
      let col = colIn * ${n};
      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
      {
        ${g()}
        value = ${c.getByIndices("aIndices")};
      }
      return value;
    }

    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${u.type.indices}) -> ${Hn(n,y)} {
      var value = ${Hn(n,y)}(0.0);
      let col = colIn * ${n};
      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
      {
        ${_()}
        value = ${h.getByIndices("bIndices")};
      }
      return value;
    }

    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Hn(n,y)}) {
      let col = colIn * ${n};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
        var value = valueIn;
        let coords = vec3<i32>(batch, row, colIn);
        ${e?`value = value + ${a?"bias[colIn]":`${Hn(n,y)}(bias[row])`};`:""}
        ${t}
        ${p.setByIndices("vec3<u32>(coords)","value")}
      }
    }
    `},kd=(n,e,t,r,i=!1)=>{let a=n[0].dims,s=n[1].dims,o=a.slice(0,-2),l=s.slice(0,-2),u=r?r.slice(0,-2):t.slice(0,-2),c=Ee.size(u),h=a[a.length-2],p=a[a.length-1],d=s[s.length-1],m=p%4===0&&d%4===0,y=h<=8?[4,1,1]:[4,4,1],g=[8,8,1],_=[Math.ceil(d/g[0]/y[0]),Math.ceil(h/g[1]/y[1]),Math.ceil(c/g[2]/y[2])],w=m?4:1,b=[...o,h,p/w],E=b.length,T=[...l,p,d/w],I=T.length,C=[c,h,d/w],B=[{type:6,data:h},{type:6,data:d},{type:6,data:p}];ma(e,B),B.push(...gt(u,b,T));let R=["rank","rank"],k=n.length>2;k&&(B.push(...gt(n[2].dims)),R.push("rank")),B.push(...gt(C));let j=Q=>{let ie=u.length,F=Td("batchDims",n[0].dataType,ie,1),$=Rn(n[0].dataType),L=Te("a",n[0].dataType,E,w),H=Te("b",n[1].dataType,I,w),K=ct("result",n[0].dataType,C.length,w),X=[L,H];if(k){let de=i?w:1;X.push(Te("bias",n[2].dataType,n[2].dims.length,de))}let J=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];ga(e,J);let W=Rn(K.type.tensor),ae=fa(e,K.type.value,W),Z=Jp(w,k,ae,[F,L,H,K],[o,l,u],i);return`
  ${Q.registerUniforms(J).registerInternalVariables(F).declareVariables(...X,K)}
  ${Z}
  ${m?Ul(y,g,$,F):Bl(y,g,$,F)}
                   `};return{name:"MatMul",shaderCache:{hint:`${y};${e.activation};${m};${i}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:t,dataType:n[0].dataType}],dispatchGroup:{x:_[0],y:_[1],z:_[2]},programUniforms:B}),getShaderSource:j}}}),ef,Yy,h2=Ce(()=>{bt(),wa(),Ot(),ba(),Id(),Xy(),eu(),ef=(n,e,t,r,i=!1,a,s=4,o=4,l=4,u="f32")=>{let c=R=>{switch(R){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${u}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${R} is not supported.`)}},h=R=>{switch(R){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 ${R} is not supported.`)}},p=n?`
    let coord = vec4<i32>(batch, xRow, xCol, xCh);
    `:`
    let coord = vec4<i32>(batch, xCh, xRow, xCol);
    `,d=n?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,m=n?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",y=n?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",g=n?"row":"col",_=n?"col":"row",w=`
    let inChannels = i32(uniforms.w_shape[2]);
    let outWidth = ${n?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
    let outRow = ${g} / outWidth;
    let outCol = ${g} % outWidth;

    let WRow = ${_} / (i32(uniforms.w_shape[1]) * inChannels);
    let WCol = ${_} / 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 = ${_} % inChannels;
    var resData = ${Hn(s,u)}(0.0);
    // The bounds checking is always needed since we use it to pad zero for
    // the 'same' padding type.
    if (xRow >= 0 && xRow < ${m} && xCol >= 0 && xCol < ${y}) {
      ${p}
      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
      ${c(s)}
    }
    return resData;`,b=n?e&&r?`
    let col = colIn * ${s};
    ${w}`:`
    let col = colIn * ${s};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
      ${w}
    }
    return ${Hn(s,u)}(0.0);`:r&&t?`
    let col = colIn * ${s};
    ${w}`:`
    let col = colIn * ${s};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${w}
    }
    return ${Hn(s,u)}(0.0);`,E=`${h(o)}`,T=Hn(l,u),I=Hn(n?s:o,u),C=Hn(n?o:s,u),B=fa(a,T,u);return`
    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${I} {
      ${n?b:E}
    }

    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${C} {
      ${n?E:b}
    }

    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${T}) {
      let col = colIn * ${l};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
      {
      var value = valueIn;
      let outWidth = ${n?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${d}
      ${Rd(i)}
      ${B}
      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
      }
    }`},Yy=(n,e,t,r,i,a,s,o)=>{let l=e.format==="NHWC",u=l?n[0].dims[3]:n[0].dims[1],c=t[0],h=l?t[2]:t[3],p=l?t[1]:t[2],d=l?t[3]:t[1],m=l&&(u%4===0||u%3===0)&&d%4===0,y=l?d:h*p,g=l?h*p:d,_=[8,8,1],w=r<=8?[4,1,1]:[4,4,1],b=[Math.ceil(y/_[0]/w[0]),Math.ceil(g/_[1]/w[1]),Math.ceil(c/_[2]/w[2])];mn("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${b}`);let E=m?l&&u%4!==0?3:4:1,T=_[1]*w[1],I=_[0]*w[0],C=Math.max(_[0]*E,_[1]),B=r%T===0,R=i%I===0,k=a%C===0,j=m?[E,4,4]:[1,1,1],Q=[{type:6,data:r},{type:6,data:i},{type:6,data:a},{type:6,data:[e.pads[0],e.pads[1]]},{type:6,data:e.strides},{type:6,data:e.dilations}];ma(e,Q),Q.push(...gt(n[0].dims,n[1].dims));let ie=["rank","rank"];s&&(Q.push(...gt(n[2].dims)),ie.push("rank")),Q.push(...gt(t));let F=$=>{let L=[{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}];ga(e,L);let H=m?4:1,K=Rn(n[0].dataType),X=`
      fn setOutputAtIndex(flatIndex : i32, value : ${m?`vec4<${K}>`:K}) {
        result[flatIndex] = ${m?`vec4<${K}>`:K}(value);
      }
      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${m?`vec4<${K}>`:K}) {
        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
        setOutputAtIndex(flatIndex ${m?"/ 4":""}, value);
      }`,J=Te("x",n[0].dataType,n[0].dims.length,E===3?1:E),W=Te("w",n[1].dataType,n[1].dims.length,H),ae=[J,W],Z=ct("result",n[0].dataType,t.length,H);if(s){let de=Te("bias",n[2].dataType,n[2].dims.length,H);ae.push(de),X+=`
        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${m?`vec4<${K}>`:K} {
          return bias[coords.${l?"w":"y"}${m?"/ 4":""}];
        }`}return`
        ${Pd("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 };
        ${$.registerUniforms(L).declareVariables(...ae,Z)}
        ${X}
        ${ef(l,B,R,k,s,e,j[0],j[1],j[2],K)}
        ${m?Ul(w,_,K,void 0,!l,C):Bl(w,_,K,void 0,!l,C,!1,void 0,o)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${e.cacheKey};${E};${m};${B};${R};${k};${T};${I};${C}`,inputDependencies:ie},getRunData:()=>({outputs:[{dims:t,dataType:n[0].dataType}],dispatchGroup:{x:b[0],y:b[1],z:b[2]},programUniforms:Q}),getShaderSource:F}}}),qc,Ky,p2=Ce(()=>{bt(),Dt(),Ot(),Jy(),ba(),qc=(n,e,t)=>{let r=n.length>2,i=r?"value += b[output_channel];":"",a=n[0].dims,s=n[1].dims,o=s[0]/e.group,l=e.format==="NHWC",u=El(a,s,e.dilations,e.pads,e.strides,l),c=Ee.size(u),h=[{type:12,data:c},{type:12,data:e.dilations},{type:12,data:[e.strides[0],e.strides[1]]},{type:12,data:[e.pads[0],e.pads[1]]},{type:12,data:o}];ma(e,h),h.push(...gt(a,s));let p=["rank","rank"];r&&(h.push(...gt(n[2].dims)),p.push("rank")),h.push(...gt(u));let d=m=>{let y=ct("output",n[0].dataType,u.length),g=Rn(y.type.tensor),_=fa(e,y.type.value,g),w=Te("x",n[0].dataType,a.length),b=Te("w",n[1].dataType,s.length),E=[w,b];r&&E.push(Te("b",n[2].dataType,n[2].dims.length));let T=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:e.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];return ga(e,T),`
  ${m.registerUniforms(T).declareVariables(...E,y)}

  ${m.mainStart()}
    ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let outputIndices = ${y.offsetToIndices("global_idx")};
    let batch: u32 = outputIndices[0];
    let output_channel: u32 = outputIndices[${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 / uniforms.output_channels_per_group;

    var value: ${y.type.value} = ${y.type.value}(0);
    for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
      let input_channel = group_id * uniforms.w_shape[1] + 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[${l?1:2}]) {
          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[${l?2:3}]) {
            continue;
          }

          let xVal = ${l?w.get("batch","xHeight","xWidth","input_channel"):w.get("batch","input_channel","xHeight","xWidth")};
          let wVal = ${b.get("output_channel","wInChannel","wHeight","wWidth")};
          value += xVal*wVal;
        }
      }
    }
    ${i}
    ${_}
    ${y.setByOffset("global_idx","value")}
  }`};return{name:"GroupedConv",shaderCache:{hint:e.cacheKey,inputDependencies:p},getRunData:()=>({outputs:[{dims:t?t(u):u,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:h}),getShaderSource:d}},Ky=(n,e,t)=>{let r=n.length>2,i=vn(t[3]),a=vn(t[2]),s=Ee.size(t)/i/a,o=[n[0].dims[0],n[0].dims[1],n[0].dims[2],n[0].dims[3]/i],l=[n[1].dims[0],n[1].dims[1],n[1].dims[2],n[1].dims[3]/i],u=[t[0],t[1],t[2],t[3]/i],c=[{type:12,data:s},{type:6,data:[e.strides[0],e.strides[1]]},{type:6,data:[e.pads[0],e.pads[1]]}];ma(e,c),c.push(...gt(o,l,u));let h=(a-1)*e.strides[1]+l[1],p=d=>{let m=ct("output",n[0].dataType,u.length,i),y=Rn(m.type.tensor),g=fa(e,m.type.value,y),_=Te("x",n[0].dataType,o.length,i),w=Te("w",n[1].dataType,l.length,i),b=[_,w];r&&b.push(Te("b",n[2].dataType,n[2].dims,i));let E=r?"value += b[output_channel];":"",T=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return ga(e,T),`
  ${d.registerUniforms(T).declareVariables(...b,m)}
  ${d.mainStart()}
    ${d.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] / ${a}u;
    let col = (index1 % width1) * ${a}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<${_.type.value}, ${h}>;
    var values: array<${m.type.value}, ${a}>;
    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 < ${l[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] = ${_.get("batch","u32(x_height)","u32(x_width)","input_channel")};
          } else {
            x_vals[i] = ${_.type.value}(0);
          }
        }
        for (var w_width: u32 = 0u; w_width < ${l[1]}; w_width++) {
          let w_val = ${w.get("w_height","w_width","0","output_channel")};
          for (var i = 0u; i < ${a}u; i++) {
            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
          }
        }
      }
    }

    for (var i = 0u; i < ${a}u; i++) {
      var value = values[i];
      ${E}
      ${g}
      ${m.set("batch","row","col + i","output_channel","value")};
    }
  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${e.cacheKey};${i};${a};${h};${l[0]};${l[1]}`,inputDependencies:r?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:t,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:c}),getShaderSource:p}}}),jc,tf,Zy,Qy=Ce(()=>{bt(),Dt(),eu(),Ot(),ba(),jc=(n,e,t,r,i=!1)=>{let a=n[0].dims,s=n[1].dims,o=a[a.length-2],l=s[s.length-1],u=a[a.length-1],c=vn(l),h=vn(u),p=vn(o),d=Ee.size(t)/c/p,m=n.length>2,y=r?r.slice(0,-2):t.slice(0,-2),g=[Ee.size(y),o,l],_=[{type:12,data:d},{type:12,data:o},{type:12,data:l},{type:12,data:u}];ma(e,_),_.push(...gt(y,a,s)),m&&_.push(...gt(n[2].dims)),_.push(...gt(g));let w=b=>{let E=Td("batch_dims",n[0].dataType,y.length),T=Te("a",n[0].dataType,a.length,h),I=Te("b",n[1].dataType,s.length,c),C=ct("output",n[0].dataType,g.length,c),B=Rn(C.type.tensor),R=fa(e,C.type.value,B),k=[T,I],j="";if(m){let X=i?c:1;k.push(Te("bias",n[2].dataType,n[2].dims.length,X)),j=`${i?`value += bias[col / ${X}];`:`value += ${C.type.value}(bias[row + i]);`}`}let Q=a.slice(0,-2),ie=s.slice(0,-2),F=Ys(Q,y),$=Ys(ie,y),L=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];ga(e,L);let H=(X,J)=>{let W=X.rank,ae=X.name;if(W===2)return`var ${ae}_indices = ${X.type.indices}(0u, 0u);`;let Z=E.rank,de=`var ${ae}_indices: ${X.type.indices};`;for(let ye=W-2-1,Pe=Z-1;ye>=0;ye--,Pe--)de+=`
${ae}_indices[${ye}] = ${Z>1?`batch_indices[${Pe}]`:"batch_indices"};`;return J.forEach(ye=>{de+=`
${ae}_indices[${ye}] = 0;`}),de+=`${ae}_indices[${W-2}] = 0u;
                     ${ae}_indices[${W-1}] = 0u;`,de},K=()=>{let X=`var a_data: ${T.type.value};`;for(let J=0;J<h;J++)X+=`
              let b_data${J} = b[(b_offset + (k + ${J}) * uniforms.N + col) / ${c}];`;for(let J=0;J<p;J++){X+=`a_data = a[(a_offset + (row + ${J}) * uniforms.K + k) / ${h}];`;for(let W=0;W<h;W++)X+=`
            values[${J}] = fma(${I.type.value}(a_data${h===1?"":`[${W}]`}), b_data${W}, values[${J}]);
`}return X};return`
  ${b.registerUniforms(L).registerInternalVariables(E).declareVariables(...k,C)}
  ${b.mainStart()}
    ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let col = (global_idx % (uniforms.N / ${c})) * ${c};
    var index1 = global_idx / (uniforms.N / ${c});
    let stride1 = uniforms.M / ${p};
    let row = (index1 % stride1) * ${p};
    let batch = index1 / stride1;

    ${t.length===2?"":`let batch_indices = ${E.offsetToIndices("batch")};`}
    ${H(T,F)}
    let a_offset = ${T.indicesToOffset("a_indices")};
    ${H(I,$)}
    let b_offset = ${I.indicesToOffset("b_indices")};
    var values: array<${C.type.value}, ${p}>;
    for (var k: u32 = 0u; k < uniforms.K; k = k + ${h}) {
      ${K()}
    }
    for (var i = 0u; i < ${p}u; i++) {
      var value = values[i];
      ${j}
      ${R}
      let cur_indices = ${C.type.indices}(batch, row + i, col);
      let offset = ${C.indicesToOffset("cur_indices")};
      ${C.setByOffset(`offset / ${c}`,"value")};
    }
  }
  `};return{name:"MatMulNaive",shaderCache:{hint:`${e.activation};${c};${h};${p};${i}`,inputDependencies:m?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:t,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:_}),getShaderSource:w}},tf=n=>{if(!n||n.length!==2)throw new Error("MatMul requires 2 inputs.");if(n[0].dims[n[0].dims.length-1]!==n[1].dims[n[1].dims.length-2])throw new Error("shared dimension does not match.")},Zy=n=>{tf(n.inputs);let e=os.calcShape(n.inputs[0].dims,n.inputs[1].dims,!0);if(!e)throw new Error("Can't use matmul on the given tensors");let t=e[e.length-1],r=n.inputs[0].dims[n.inputs[0].dims.length-1];t<8&&r<8?n.compute(jc(n.inputs,{activation:""},e)):n.compute(kd(n.inputs,{activation:""},e))}}),El,Go,nf,Lu,Xc,rf,af,Yc,Jy=Ce(()=>{Dt(),h2(),eu(),p2(),ba(),Qy(),so(),El=(n,e,t,r,i,a)=>{let s=n[0],o=n.slice(a?1:2,a?3:4),l=o.length,u=e[0],c=e.slice(2).map((p,d)=>p+(p-1)*(t[d]-1)),h=o.map((p,d)=>p+r[d]+r[d+l]).map((p,d)=>Math.floor((p-c[d]+i[d])/i[d]));return h.splice(0,0,s),h.splice(a?3:1,0,u),h},Go=[2,3,1,0],nf=(n,e)=>{if(!n||n.length!==2&&n.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(n[0].dims.length!==4&&n[0].dims.length!==3)throw new Error("currently only support conv 1D and 2D");if(n[0].dims.length!==n[1].dims.length)throw new Error("filter does not have same dimension as input");let t=n[0].dims[e.format==="NHWC"?n[0].dims.length-1:1],r=n[1].dims[1]*e.group;if(t!==r)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(n.length===3&&(n[2].dims.length!==1||n[1].dims[0]!==n[2].dims[0]))throw new Error("invalid bias");let i=n[0].dims.length-2;if(e.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(e.strides.length!==i)throw new Error(`strides should be ${i}D`);if(e.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==n[1].dims.length-2)throw new Error("invalid kernel shape")},Lu=(n,e)=>{let t=n.kernelShape.slice();for(let a=2;a<e[1].dims.length;++a)t[a-2]===0&&(t[a-2]=e[1].dims[a]);let r=n.pads.slice();Dl.adjustPadsBasedOnAutoPad(e[0].dims,n.strides,n.dilations,t,r,n.format==="NHWC",n.autoPad);let i=Object.assign({},n);return Object.assign(i,{kernelShape:t,pads:r}),i},Xc=n=>{let e=$d(n),t=n.format,r=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][n.auto_pad],i=n.dilations,a=n.group,s=n.kernel_shape,o=n.pads,l=n.strides,u=n.w_is_const();return{autoPad:r,format:t,dilations:i,group:a,kernelShape:s,pads:o,strides:l,wIsConst:u,...e,cacheKey:`${n.format};${e.activation};`}},rf=(n,e,t)=>{let r=Lu(t,e),i=t.format==="NHWC";if(t.group!==1){if(!n.adapterInfo.isArchitecture("ampere")&&i&&e[1].dims[0]===t.group&&e[1].dims[1]===1&&t.dilations[0]===1&&t.dilations[1]===1){let I=El(e[0].dims,e[1].dims,t.dilations,r.pads,t.strides,i),C=n.kernelCustomData.wT??n.compute(pi(e[1],Go),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!n.kernelCustomData.wT&&(n.kernelCustomData.wT=C);let B=[e[0],C];e.length===3&&B.push(e[2]),n.compute(Ky(B,r,I),{inputs:B})}else n.compute(qc(e,r));return}let a=e.length===3,s=e[0].dims[i?1:2],o=e[0].dims[i?2:3],l=e[0].dims[i?3:1],u=e[1].dims[2],c=e[1].dims[3],h=El(e[0].dims,e[1].dims,t.dilations,r.pads,t.strides,i),p=h[i?1:2],d=h[i?2:3],m=h[i?3:1],y=i&&u===s&&c===o&&t.pads[0]===0&&t.pads[1]===0;if(y||u===1&&c===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 I=h[0],C,B,R,k=[];if(i){let ie=n.kernelCustomData.wT??n.compute(pi(e[1],Go),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];if(t.wIsConst&&!n.kernelCustomData.wT&&(n.kernelCustomData.wT=ie),y){let F=s*o*l;C=e[0].reshape([1,I,F]),B=ie.reshape([1,F,m]),R=[1,I,m]}else C=e[0].reshape([I,s*o,l]),B=ie.reshape([1,l,m]),R=[I,p*d,m];k.push(C),k.push(B)}else C=e[0].reshape([I,l,s*o]),B=e[1].reshape([1,m,l]),R=[I,m,p*d],k.push(B),k.push(C);a&&k.push(e[2]);let j=R[2],Q=k[0].dims[k[0].dims.length-1];j<8&&Q<8?n.compute(jc(k,r,h,R,i),{inputs:k}):n.compute(kd(k,r,h,R,i),{inputs:k});return}let g=!0,_=n.kernelCustomData.wT??n.compute(pi(e[1],Go),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!n.kernelCustomData.wT&&(n.kernelCustomData.wT=_);let w=[e[0],_];a&&w.push(e[2]);let b=i?p*d:m,E=i?m:p*d,T=u*c*l;n.compute(Yy(w,r,h,b,E,T,a,g),{inputs:w})},af=(n,e)=>{let t=e.format==="NHWC",r=[n.inputs[0].reshape(t?[n.inputs[0].dims[0],1,n.inputs[0].dims[1],n.inputs[0].dims[2]]:[n.inputs[0].dims[0],n.inputs[0].dims[1],1,n.inputs[0].dims[2]]),n.inputs[1].reshape([n.inputs[1].dims[0],n.inputs[1].dims[1],1,n.inputs[1].dims[2]])];n.inputs.length===3&&r.push(n.inputs[2]);let i=[0,e.pads[0],0,e.pads[1]],a=[1].concat(e.strides),s=[1].concat(e.dilations),o=[1].concat(e.kernelShape),l=Lu({...e,pads:i,strides:a,dilations:s,kernelShape:o},r);n.compute(qc(r,l,u=>t?[u[0],u[2],u[3]]:[]))},Yc=(n,e)=>{nf(n.inputs,e),n.inputs[0].dims.length===3?af(n,e):rf(n,n.inputs,e)}}),sf,ev,f2=Ce(()=>{bt(),wa(),Ot(),ba(),Id(),Xy(),eu(),sf=(n,e=!1,t,r,i=4)=>{let a=g=>{switch(g){case 1:return"return w[getIndexFromCoords4D(coord, vec4<i32>(uniforms.w_shape))];";case 4:return`
            let coord1 = vec4<i32>(coordX, coordY, col + 1, rowInner);
            let coord2 = vec4<i32>(coordX, coordY, col + 2, rowInner);
            let coord3 = vec4<i32>(coordX, coordY, col + 3, rowInner);
            let v0 = w[getIndexFromCoords4D(coord, vec4<i32>(uniforms.w_shape))];
            let v1 = w[getIndexFromCoords4D(coord1, vec4<i32>(uniforms.w_shape))];
            let v2 = w[getIndexFromCoords4D(coord2, vec4<i32>(uniforms.w_shape))];
            let v3 = w[getIndexFromCoords4D(coord3, vec4<i32>(uniforms.w_shape))];
            return ${r}(v0, v1, v2, v3);
            `;default:throw new Error(`innerElementSize ${g} is not supported.`)}},s=n?`
      let coord = vec4<i32>(batch, iXR, iXC, xCh);
      `:`
      let coord = vec4<i32>(batch, xCh, iXR, iXC);
      `,o=n?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,l=n?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",u=n?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",c=n?"row":"col",h=n?"col":"row",p=`
      let inChannels = ${n?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};
      let outWidth = ${n?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      let outRow = ${c} / outWidth;
      let outCol = ${c} % outWidth;

      let WRow = ${h} / (uniforms.filter_dims[1] * inChannels);
      let WCol = ${h} / inChannels % uniforms.filter_dims[1];
      let xR = f32(outRow - uniforms.pads[0] + uniforms.dilations[0] * WRow) / f32(uniforms.strides[0]);
      let xC = f32(outCol - uniforms.pads[1] + uniforms.dilations[1] * WCol) / f32(uniforms.strides[1]);
      if (xR < 0.0 || xR >= f32(${l}) || fract(xR) > 0.0) {
        return ${r}(0.0);
      }
      if (xC < 0.0 || xC >= f32(${u}) || fract(xC) > 0.0) {
        return ${r}(0.0);
      }
      let iXR = i32(xR);
      let iXC = i32(xC);
      let xCh = ${h} % inChannels;
      ${s}
      return x[getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape))/${i}];`,d=n?`
      let col = colIn * ${i};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
        ${p}
      }
      return ${r}(0.0);`:`
      let col = colIn * ${i};
      if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
        ${p}
      }
      return ${r}(0.0);`,m=`
      let col = colIn * ${i};
      let inChannels = ${n?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};
      let coordX = uniforms.filter_dims[0] - 1 - row / (uniforms.filter_dims[1] * inChannels);
      let coordY = uniforms.filter_dims[1] - 1 - (row / inChannels) % uniforms.filter_dims[1];
      if (${n?"row < uniforms.dim_inner && col < uniforms.dim_b_outer":"row < uniforms.dim_inner && col < uniforms.dim_a_outer"}  && coordX >= 0 && coordY >= 0) {
        let rowInner = row % inChannels;
        let coord = vec4<i32>(coordX, coordY, col, rowInner);
        ${a(i)}
      }
      return ${r}(0.0);
      `,y=fa(t,r);return`
  fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${r} {
    ${n?d:m}
  }

  fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${r} {
    ${n?m:d}
  }

  fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${r}) {
    let col = colIn * ${i};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
      var value = valueInput;
      let outWidth = ${n?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${o}
      ${Rd(e)}
      ${y}
      result[getIndexFromCoords4D(coords, vec4<i32>(uniforms.result_shape))/${i}] = value;
    }
  }`},ev=(n,e,t,r,i,a,s,o)=>{let l=e.format==="NHWC",u=l?n[0].dims[3]:n[0].dims[1],c=t[0],h=l?t[2]:t[3],p=l?t[1]:t[2],d=l?t[3]:t[1],m=l&&u%4===0&&u%3&&d%4===0,y=l?d:h*p,g=l?h*p:d,_=[8,8,1],w=r<=8?[4,1,1]:[4,4,1],b=[Math.ceil(y/_[0]/w[0]),Math.ceil(g/_[1]/w[1]),Math.ceil(c/_[2]/w[2])];mn("verbose",()=>`[conv_backprop_mm_webgpu] dispatch = ${b}`);let E=m?4:1,T=Math.max(_[0]*E,_[1]),I=m?4:1,C=[e.kernelShape[l?1:2],e.kernelShape[l?2:3]],B=[C[0]+(e.dilations[0]<=1?0:(C[0]-1)*(e.dilations[0]-1)),C[1]+(e.dilations[1]<=1?0:(C[1]-1)*(e.dilations[1]-1))],R=[B[0]-1-Math.floor((e.pads[0]+e.pads[2])/2),B[1]-1-Math.floor((e.pads[1]+e.pads[3])/2)],k=[{type:6,data:r},{type:6,data:i},{type:6,data:a},{type:6,data:e.strides},{type:6,data:e.dilations},{type:6,data:C},{type:6,data:R}];ma(e,k),k.push(...gt(n[0].dims,n[1].dims));let j=["rank","rank"];s&&(k.push(...gt(n[2].dims)),j.push("rank")),k.push(...gt(t));let Q=ie=>{let F=Te("x",n[0].dataType,n[0].dims.length,I),$=Te("w",n[1].dataType,n[1].dims.length,1),L=ct("result",n[0].dataType,t.length,I),H=[F,$],K="";if(s){let W=Te("bias",n[2].dataType,n[2].dims.length,I);H.push(W),K+=`
          fn getBiasByOutputCoords(coords : vec4<i32>) -> ${W.type.value} {
            return bias[coords.${l?"w":"y"}${m?"/ 4":""}];
          }`}let X=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"strides",type:"i32",length:2},{name:"dilations",type:"i32",length:2},{name:"filter_dims",type:"i32",length:C.length},{name:"pads",type:"i32",length:R.length}];ga(e,X);let J=Rn(n[0].dataType,1);if(J!=="f16"&&J!=="f32")throw new Error(`elemType ${J} is not supported.`);return`
        ${Pd("uniforms.result_strides")}
        ${ie.registerUniforms(X).declareVariables(...H,L)};
        ${K}
        ${sf(l,s,e,F.type.value,E)}
        ${m?Ul(w,_,J,void 0,!l,T):Bl(w,_,J,void 0,!l,T,!1,void 0,o)}`};return{name:"Conv2DTransposeMatMul",shaderCache:{hint:`${e.cacheKey};${w};${_};${m}`,inputDependencies:j},getRunData:()=>({outputs:[{dims:t,dataType:n[0].dataType}],dispatchGroup:{x:b[0],y:b[1],z:b[2]},programUniforms:k}),getShaderSource:Q}}}),of,Kc,m2=Ce(()=>{bt(),wa(),Dt(),Ot(),of=(n,e,t,r,i,a=!1,s,o,l=!1)=>{let u=l?1:2,c=l?2:3,h=l?3:1,p=a?2:1,d=`
  fn setOutputAtIndex(flatIndex : u32, value : ${a?`vec4<${s}>`:s}) {
    result[flatIndex] = ${a?`vec4<${s}>`:s}(value);
  }`;r&&(d+=`
    fn getBiasByOutputCoords(coords : vec4<u32>) -> ${a?`vec4<${s}>`:s} {
      return bias[coords.${l?"w":"y"}${a?"/ 4":""}];
    }`);let m=a?4:1,y=Te("W",e[1].dataType,e[1].dims.length,m),g=Te("Dy",e[0].dataType,e[0].dims.length,m),_=[g,y];r&&_.push(Te("bias",e[2].dataType,[t[h]].length,m));let w=ct("result",e[0].dataType,t.length,m),b=`{
        let batch: u32 = ${i?"global_id.z":"workgroup_id.z"} / uniforms.result_shape[1];
        let r = ${i?"global_id.z":"workgroup_id.z"} % uniforms.result_shape[1];
        let c = ${i?"global_id.y":"workgroup_id.y"} * ${p};
        let d1: u32 = ${i?"global_id.x":"workgroup_id.x"} * 4;

        let dyCorner = vec2<i32>(i32(r), i32(c)) - vec2<i32>(uniforms.pads);

        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
        // ? = to be determined. : = across all values in that axis.
        var dotProd: array<vec4<${s}>, ${p}>;
        for (var i = 0; i < ${p}; i++) {
          dotProd[i] = vec4<${s}>(0.0);
        }
        for (var wR: u32 = 0; wR < uniforms.filter_dims[0]; wR = wR + 1) {
          var dyR = (${s}(dyCorner.x) + ${s}(wR)) / ${s}(uniforms.strides.x);
          let wRPerm = uniforms.filter_dims[0] - 1 - wR;
          if (dyR < 0.0 || dyR >= ${s}(uniforms.Dy_shape[1]) ||
              fract(dyR) > 0.0 || wRPerm < 0) {
            continue;
          }
          let idyR: u32 = u32(dyR);

          for (var wC: u32 = 0; wC < uniforms.filter_dims[1]; wC = wC + 1) {
            let dyC = (${s}(dyCorner.y) + ${s}(wC)) / ${s}(uniforms.strides.y);
            let dyC2 = (${s}(dyCorner.y) + 1.0 + ${s}(wC)) / ${s}(uniforms.strides.y);
            let wCPerm = uniforms.filter_dims[1] - 1 - wC;
            if (wCPerm < 0) {
              continue;
            }
            var bDyCVal = true;
            var bDyCVal2 = true;
            if (dyC < 0.0 || dyC >= ${s}(uniforms.Dy_shape[2]) ||
                fract(dyC) > 0.0) {
              bDyCVal = false;
            }
            if (dyC2 < 0.0 || dyC2 >= ${s}(uniforms.Dy_shape[2]) ||
                fract(dyC2) > 0.0) {
              bDyCVal2 = false;
            }

            let idyC: u32 = u32(dyC);
            let idyC2: u32 = u32(dyC2);
            if (bDyCVal && bDyCVal2) {
              let d2Length = uniforms.Dy_shape[3];
              for (var d2 :u32 = 0; d2 < d2Length; d2 = d2 + 4) {
                let wValue0 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};
                let wValue1 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};
                let wValue2 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};
                let wValue3 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};

                var xValue = ${g.get("batch","idyR","idyC","d2")};
                let tmpval = vec4<${s}>(dot(xValue, wValue0),
                                      dot(xValue, wValue1),
                                      dot(xValue, wValue2),
                                      dot(xValue, wValue3));
                dotProd[0] = dotProd[0] + tmpval;

                xValue =  ${g.get("batch","idyR","idyC2","d2")};

                dotProd[1] = dotProd[1] + vec4<${s}>(dot(xValue, wValue0),
                                                    dot(xValue, wValue1),
                                                    dot(xValue, wValue2),
                                                    dot(xValue, wValue3));
              }
            } else if (bDyCVal) {
              let d2Length = uniforms.Dy_shape[${h}];
              for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {
                let wValue0 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};
                let wValue1 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};
                let wValue2 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};
                let wValue3 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};

                var xValue = ${g.get("batch","idyR","idyC","d2")};
                let tmpval = vec4<${s}>(dot(xValue, wValue0),
                                      dot(xValue, wValue1),
                                      dot(xValue, wValue2),
                                      dot(xValue, wValue3));
                dotProd[0] = dotProd[0] + tmpval;
              }
            } else if (bDyCVal2) {
              let d2Length = uniforms.Dy_shape[3];
              for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {
                let wValue0 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};
                let wValue1 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};
                let wValue2 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};
                let wValue3 = ${y.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};

                var xValue = ${g.get("batch","idyR","idyC2","d2")};
                let tmpval = vec4<${s}>(dot(xValue, wValue0),
                                      dot(xValue, wValue1),
                                      dot(xValue, wValue2),
                                      dot(xValue, wValue3));
                dotProd[1] = dotProd[1] + tmpval;
              }
            }
          }
        }

        for (var i: u32 = 0; i < ${p}; i = i + 1) {
          let value = dotProd[i] + ${r?"bias[c+i]":`vec4<${s}>(0.0)`};
          ${w.set("batch","r","c + i","d1","value")};
        }
      }`,E=`
          let outputIndices = ${w.offsetToIndices("global_idx")};
          let batch = ${w.indicesGet("outputIndices",0)};
          let d1 = ${w.indicesGet("outputIndices",h)};
          let r = ${w.indicesGet("outputIndices",u)};
          let c = ${w.indicesGet("outputIndices",c)};
          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 = ${s}(0.0);
          for (var wR: u32 = 0; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
            if (wR % uniforms.dilations.x != 0) {
              continue;
            }
            let dyR = (${s}(dyRCorner) + ${s}(wR)) / ${s}(uniforms.strides[0]);
            let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
            if (dyR < 0.0 || dyR >= ${s}(uniforms.Dy_shape[${u}]) || fract(dyR) > 0.0 ||
                wRPerm < 0) {
              continue;
            }
            let idyR: u32 = u32(dyR);

            for (var wC: u32 = 0; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {
              if (wC % uniforms.dilations.y != 0) {
                continue;
              }
              let dyC = (${s}(dyCCorner) + ${s}(wC)) / ${s}(uniforms.strides.y);
              let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;
              if (dyC < 0.0 || dyC >= ${s}(uniforms.Dy_shape[${c}]) ||
                  fract(dyC) > 0.0 || wCPerm < 0) {
                continue;
              }
              let idyC: u32 = u32(dyC);
              var inputChannel = groupId * uniforms.input_channels_per_group;
              for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group; d2 = d2 + 1) {
                let xValue = ${l?g.get("batch","idyR","idyC","inputChannel"):g.get("batch","inputChannel","idyR","idyC")};
                let wValue = ${y.get("inputChannel","wOutChannel","u32(wRPerm)","u32(wCPerm)")};
                dotProd = dotProd + xValue * wValue;
                inputChannel = inputChannel + 1;
              }
            }
          }
          let value = dotProd + ${r?"bias[d1]":`${s}(0.0)`};
          ${w.setByOffset("global_idx","value")};
        `;return`
  ${n.registerUniforms(o).declareVariables(..._,w)}
  ${d}

    ${n.mainStart()}
    ${n.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
  ${a?b:E}}`},Kc=(n,e,t)=>{let r=n.length>2,i=e.outputShape,a=Ee.size(i),s=[Math.ceil(a/64),1,1];mn("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${s}`);let o=e.format==="NHWC",l=["rank","rank"],u=[e.strides[0],e.strides[1]],c=[e.kernelShape[o?1:2],e.kernelShape[o?2:3]],h=[e.dilations[0],e.dilations[1]],p=[c[0]+(e.dilations[0]<=1?0:(e.kernelShape[o?1:2]-1)*(e.dilations[0]-1)),c[1]+(e.dilations[1]<=1?0:(e.kernelShape[o?2:3]-1)*(e.dilations[1]-1))],d=[p[0]-1-Math.floor((e.pads[0]+e.pads[2])/2),p[1]-1-Math.floor(e.pads[1]+e.pads[3])/2],m=!1,y=e.group,g=n[1].dims,_=g[0]/y,w=g[1],b=[{type:12,data:a},{type:12,data:u},{type:12,data:c},{type:12,data:h},{type:12,data:p},{type:6,data:d},{type:12,data:_},{type:12,data:w},...gt(n[0].dims,n[1].dims)];r&&(b.push(...gt(n[2].dims)),l.push("rank")),b.push(...gt(i));let E=s[1]===1&&s[2]===1,T=I=>{let C=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:u.length},{name:"filter_dims",type:"u32",length:c.length},{name:"dilations",type:"u32",length:c.length},{name:"effective_filter_dims",type:"u32",length:p.length},{name:"pads",type:"i32",length:d.length},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],B=Rn(n[0].dataType);return`${of(I,n,i,r,E,m,B,C,o)}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${e.cacheKey};`,inputDependencies:l},getRunData:()=>({dispatchGroup:{x:s[0],y:s[1],z:s[2]},outputs:[{dims:t?t(i):i,dataType:n[0].dataType}],programUniforms:b}),getShaderSource:T}}}),lf,uf,cf,zu,tv,df,hf,pf,ff,nv,g2=Ce(()=>{f2(),m2(),ba(),so(),lf=(n,e,t,r,i,a)=>(n-1)*e+t+(r-1)*i+1-a,uf=(n,e,t,r,i)=>{let a=Math.floor(n/2);e==="SAME_UPPER"?(t[r]=a,t[i]=n-a):e==="SAME_LOWER"&&(t[r]=n-a,t[i]=a)},cf=(n,e,t,r,i,a,s,o,l,u)=>{let c=n.length-2,h=u.length===0;if(l.length===0)for(let m=0;m<c;++m)l.push(0);let p=n[0],d=e[o?3:1]*i;for(let m=0,y=n.length-c-(o?1:0);m<c;++m,++y){let g=n[y],_=h?g*s[m]:u[m],w=lf(g,s[m],a[m],e[y],t[m],_);uf(w,r,a,m,m+c),h&&u.push(s[m]*(g-1)+l[m]+(e[y]-1)*t[m]+1-a[m]-a[m+c])}u.splice(0,0,p),u.splice(o?3:1,0,d)},zu=(n,e)=>{let t=n.kernelShape.slice();if(n.kernelShape.length===0||n.kernelShape.reduce((h,p)=>h*p,1)===0){t.length=0;for(let h=2;h<e[1].dims.length;++h)t.push(e[1].dims[h])}let r=n.format==="NHWC";t.splice(0,0,e[1].dims[0]),t.splice(r?3:1,0,e[1].dims[1]);let i=n.pads.slice(),a=n.outputShape.slice(),s=n.outputPadding.slice(),o=e[0].dims,l=n.dilations.slice();if(l.reduce((h,p)=>h+p,0)===0){let h=e[0].dims.length-2;l=new Array(h).fill(1)}let u=n.strides.slice();if(u.reduce((h,p)=>h+p,0)===0){let h=e[0].dims.length-2;u=new Array(h).fill(1)}cf(o,t,l,n.autoPad,n.group,i,u,r,s,a);let c=Object.assign({},n);return Object.assign(c,{kernelShape:t,pads:i,outputPadding:s,outputShape:a,dilations:l,strides:u}),c},tv=n=>{let e=$d(n),t=n.format,r=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof n.autoPad>"u"?0:n.autoPad],i=n.dilations,a=n.group,s=n.kernelShape,o=n.pads,l=n.strides,u=n.wIsConst(),c=n.outputPadding,h=n.outputShape;return{autoPad:r,format:t,dilations:i,group:a,kernelShape:s,outputPadding:c,outputShape:h,pads:o,strides:l,wIsConst:u,...e,cacheKey:`${n.format};${e.activation};`}},df=(n,e)=>{if(!n||n.length!==2&&n.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(n[0].dims.length!==4&&n[0].dims.length!==3)throw new Error("currently only support 2-dimensional conv");if(n[0].dims.length!==n[1].dims.length)throw new Error("filter does not have same dimension as input");let t=n[0].dims[e.format==="NHWC"?n[0].dims.length-1:1],r=n[1].dims[0];if(t!==r)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let i=n[1].dims[1]*e.group;if(n.length===3&&(n[2].dims.length!==1||n[2].dims[0]!==i))throw new Error("invalid bias");let a=n[0].dims.length-2;if(e.dilations.reduce((s,o)=>s+o,0)>0&&e.dilations.length!==a)throw new Error(`dilations should be ${a}D`);if(e.strides.reduce((s,o)=>s+o,0)>0&&e.strides.length!==a)throw new Error(`strides should be ${a}D`);if(e.pads.reduce((s,o)=>s+o,0)>0&&e.pads.length!==a*2)throw new Error(`pads should be ${a*2}D`);if(e.outputPadding.length!==a&&e.outputPadding.length!==0)throw new Error(`output_padding should be ${a}D`);if(e.kernelShape.reduce((s,o)=>s+o,0)>0&&e.kernelShape.length!==0&&e.kernelShape.length!==n[1].dims.length-2)throw new Error("invalid kernel shape");if(e.outputShape.length!==0&&e.outputShape.length!==n[0].dims.length-2)throw new Error("invalid output shape")},hf=[2,3,1,0],pf=(n,e,t)=>{let r=zu(t,e),i=t.format==="NHWC",a=r.outputShape,s=a[i?3:1],o=e[0].dims[i?3:1];if(r.group!==1||s===1&&o===1){n.compute(Kc(e,r));return}let l=a[i?1:2],u=a[i?2:3],c=e[1].dims[2],h=e[1].dims[3],p=i?l*u:s,d=i?s:l*u,m=c*h*o,y=!0,g=n.kernelCustomData.wT??n.compute(pi(e[1],hf),{inputs:[1],outputs:[t.wIsConst?-2:-1]})[0];t.wIsConst&&!n.kernelCustomData.wT&&(n.kernelCustomData.wT=g);let _=[e[0],g],w=e.length===3;w&&(!i&&e[2].dims.length===1?_.push(e[2].reshape([e[2].dims[0],1,1])):_.push(e[2])),n.compute(ev(_,r,a,p,d,m,w,y),{inputs:_})},ff=(n,e)=>{let t=e.format==="NHWC",r=[n.inputs[0].reshape(t?[n.inputs[0].dims[0],1,n.inputs[0].dims[1],n.inputs[0].dims[2]]:[n.inputs[0].dims[0],n.inputs[0].dims[1],1,n.inputs[0].dims[2]]),n.inputs[1].reshape([n.inputs[1].dims[0],n.inputs[1].dims[1],1,n.inputs[1].dims[2]])];n.inputs.length===3&&r.push(n.inputs[2]);let i=e.kernelShape;(i.length===0||i[0]===0)&&(i=[n.inputs[1].dims[2]]);let a=e.dilations;(a.length===0||a[0]===0)&&(a=[1]);let s=e.strides;(s.length===0||s[0]===0)&&(s=[1]);let o=e.pads;o.length===0&&(o=[0,0]),o=[0,o[0],0,o[1]],s=[1].concat(s),a=[1].concat(a),i=[1].concat(i);let l=zu({...e,pads:o,strides:s,dilations:a,kernelShape:i},r);n.compute(Kc(r,l,u=>t?[u[0],u[2],u[3]]:[u[0],u[1],u[3]]))},nv=(n,e)=>{df(n.inputs,e),n.inputs[0].dims.length===3?ff(n,e):pf(n,n.inputs,e)}}),mf,rv,iv,_2=Ce(()=>{bt(),Dt(),Mn(),Ot(),mf=(n,e,t,r)=>{let i=Ee.size(e),a=e.length,s=Te("input",n,a),o=ct("output",n,a),l=t.dataType===6?t.getInt32Array()[0]:Number(t.getBigInt64Array()[0]),u=Ee.normalizeAxis(l,a),c=h=>{let p=` i32(${s.indicesGet("inputIndices","uniforms.axis")}) `,d=Et("uniforms.input_shape","uniforms.axis",a),m=r.reverse?p+(r.exclusive?" + 1":""):"0",y=r.reverse?d:p+(r.exclusive?"":" + 1");return`
                ${h.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(s,o)}
                ${h.mainStart()}
                  ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
                  var inputIndices = ${o.offsetToIndices("global_idx")};
                  var sum = ${o.type.value}(0);
                  let first : i32 = ${m};
                  let last : i32 = ${y};
                  for (var i : i32 = first; i < last; i++) {
                    ${s.indicesSet("inputIndices","uniforms.axis","u32(i)")};
                    sum = sum + ${s.getByIndices("inputIndices")};
                  }
                  ${o.setByOffset("global_idx","sum")};
                }`};return{name:"CumSum",shaderCache:{hint:r.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:e,dataType:n}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},{type:12,data:u},...gt(e,e)]}),getShaderSource:c}},rv=(n,e)=>{let t=n.inputs[0].dims,r=n.inputs[0].dataType,i=n.inputs[1];n.compute(mf(r,t,i,e),{inputs:[0]})},iv=n=>{let e=n.exclusive===1,t=n.reverse===1;return sn({exclusive:e,reverse:t})}}),gf,_f,yf,av,sv,y2=Ce(()=>{bt(),Dt(),Mn(),Ot(),gf=n=>{if(!n||n.length!==1)throw new Error("DepthToSpace requires 1 input.");if(n[0].dims.length!==4)throw new Error("DepthToSpace requires 4D input.")},_f=(n,e,t,r)=>{let i=[];i.push(`fn perm(i: ${r.type.indices}) -> ${t.type.indices} {
    var a: ${t.type.indices};`);for(let a=0;a<e;++a)i.push(t.indicesSet("a",n[a],`i[${a}]`));return i.push("return a;}"),i.join(`
`)},yf=(n,e)=>{let t,r,i,a,s,o,l=e.format==="NHWC",u=e.blocksize,c=e.mode==="DCR";l?([t,r,i,a]=n.dims,s=c?[t,r,i,u,u,a/u**2]:[t,r,i,a/u**2,u,u],o=c?[0,1,3,2,4,5]:[0,1,4,2,5,3]):([t,r,i,a]=[n.dims[0],n.dims[2],n.dims[3],n.dims[1]],s=c?[t,u,u,a/u**2,r,i]:[t,a/u**2,u,u,r,i],o=c?[0,3,4,1,5,2]:[0,1,4,2,5,3]);let h=n.reshape(s),p=h.dims.length,d=n.dataType,m=Te("a",d,p),y=ct("output",d,p),g=_=>`
  ${_.registerUniform("output_size","u32").declareVariables(m,y)}

  ${_f(o,p,m,y)}

  ${_.mainStart()}
    ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let indices = ${y.offsetToIndices("global_idx")};
    let aIndices = perm(indices);

    ${y.setByOffset("global_idx",m.getByIndices("aIndices"))}
  }`;return{name:"DepthToSpace",shaderCache:{hint:`${n.dims};${e.blocksize};${e.mode}`,inputDependencies:["rank"]},getRunData:_=>{let w=l?[t,r*u,i*u,a/u**2]:[t,a/u**2,r*u,i*u],b=Ee.size(w),E=h.dims,T=Ee.sortBasedOnPerm(E,o);return{outputs:[{dims:w,dataType:_[0].dataType}],dispatchGroup:{x:Math.ceil(b/64)},programUniforms:[{type:12,data:b},...gt(E,T)]}},getShaderSource:g}},av=(n,e)=>{gf(n.inputs),n.compute(yf(n.inputs[0],e))},sv=n=>sn({blocksize:n.blocksize,mode:n.mode,format:n.format})}),Wo,Ts,Nu,vf,wf,bf,xf,Uu,Sf,ov,lv,v2=Ce(()=>{bt(),Dt(),Mn(),Ot(),Wo="[a-zA-Z]|\\.\\.\\.",Ts="("+Wo+")+",Nu="^"+Ts+"$",vf="("+Ts+",)*"+Ts,wf="^"+vf+"$",bf=class{constructor(n=-1){this.symbolToIndices=new Map,this.inputIndex=n}addSymbol(n,e){let t=this.symbolToIndices.get(n);t===void 0?t=[e]:t.push(e),this.symbolToIndices.set(n,t)}},xf=class{constructor(n,e){this.equation=e,this.hasEllipsis=!1,this.symbolToInfo=new Map,this.lhs=new Array,this.outputDims=[];let[t,r]=e.includes("->")?e.split("->",2):[e,""];if(!t.match(RegExp(wf)))throw new Error("Invalid LHS term");if(t.split(",").forEach((i,a)=>{let s=n[a].dims.slice();if(!i.match(RegExp(Nu)))throw new Error("Invalid LHS term");let o=this.processTerm(i,!0,s,a);this.lhs.push(o)}),r==="")r+=[...this.symbolToInfo.entries()].filter(([i,a])=>a.count===1||i==="...").map(([i])=>i).join("");else if(!r.match(RegExp(Ts)))throw new Error("Invalid RHS");r.match(RegExp(Wo,"g"))?.forEach(i=>{if(i==="...")this.outputDims=this.outputDims.concat(this.ellipsisDims);else{let a=this.symbolToInfo.get(i);if(a===void 0)throw new Error("Invalid RHS symbol");this.outputDims.push(a.dimValue)}}),this.rhs=this.processTerm(r,!1,this.outputDims)}addSymbol(n,e,t){let r=this.symbolToInfo.get(n);if(r!==void 0){if(r.dimValue!==e&&r.count!==1)throw new Error("Dimension mismatch");r.count++,r.inputIndices.push(t)}else r={count:1,dimValue:e,inputIndices:[t]};this.symbolToInfo.set(n,r)}processTerm(n,e,t,r=-1){let i=t.length,a=!1,s=[],o=0;if(!n.match(RegExp(Nu))&&!e&&n!=="")throw new Error("Invalid LHS term");let l=n.match(RegExp(Wo,"g")),u=new bf(r);return l?.forEach((c,h)=>{if(c==="..."){if(a)throw new Error("Only one ellipsis is allowed per input term");a=!0;let p=i-l.length+1;if(p<0)throw new Error("Ellipsis out of bounds");if(s=t.slice(o,o+p),this.hasEllipsis){if(this.ellipsisDims.length!==s.length||this.ellipsisDims.toString()!==s.toString())throw new Error("Ellipsis dimensions mismatch")}else if(e)this.hasEllipsis=!0,this.ellipsisDims=s;else throw new Error("Ellipsis must be specified in the LHS");for(let d=0;d<s.length;d++){let m=String.fromCharCode(48+d);u.addSymbol(m,h+d),this.addSymbol(m,t[o++],r)}}else u.addSymbol(c,h+(this.hasEllipsis?this.ellipsisDims.length-1:0)),this.addSymbol(c,t[o++],r)}),u}},Uu=n=>n+"_max",Sf=(n,e,t,r)=>{let i=n.map(u=>u.length).map((u,c)=>Te(`input${c}`,e,u)),a=Ee.size(r),s=ct("output",e,r.length),o=[...t.symbolToInfo.keys()].filter(u=>!t.rhs.symbolToIndices.has(u)),l=u=>{let c=[],h="var prod = 1.0;",p="var sum = 0.0;",d="sum += prod;",m=[],y=[],g=[],_=[],w=t.symbolToInfo.size===t.rhs.symbolToIndices.size;t.symbolToInfo.forEach((E,T)=>{if(t.rhs.symbolToIndices.has(T)){let I=t.rhs.symbolToIndices.get(T)?.[0];I!==void 0&&t.lhs.forEach((C,B)=>{if(E.inputIndices.includes(B)){let R=C.symbolToIndices.get(T);if(R===void 0)throw new Error("Invalid symbol error");R.forEach(k=>{c.push(`${i[B].indicesSet(`input${B}Indices`,k,s.indicesGet("outputIndices",I))}`)})}})}else t.lhs.forEach((I,C)=>{if(E.inputIndices.includes(C)){let B=I.symbolToIndices.get(T);if(B===void 0)throw new Error("Invalid symbol error");B.forEach(R=>{m.push(`${i[C].indicesSet(`input${C}Indices`,R,`${T}`)}`)}),_.push(`prod *= ${i[C].getByIndices(`input${C}Indices`)};`)}}),y.push(`for(var ${T}: u32 = 0; ${T} < uniforms.${Uu(T)}; ${T}++) {`),g.push("}")});let b=w?[...c,`let sum = ${i.map((E,T)=>E.getByIndices(`input${T}Indices`)).join(" * ")};`]:[...c,p,...y,...m,h,..._,d,...g];return`
            ${u.registerUniforms(o.map(E=>({name:`${Uu(E)}`,type:"u32"}))).registerUniform("outputSize","u32").declareVariables(...i,s)}

            ${u.mainStart()}
            ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
            var outputIndices = ${s.offsetToIndices("global_idx")};
            ${i.map((E,T)=>`var input${T}Indices: ${i[T].type.indices};`).join(`
`)}
            ${b.join(`
`)};
            ${s.setByOffset("global_idx","sum")};
          }`};return{name:"Einsum",shaderCache:{hint:t.equation,inputDependencies:n.map(()=>"rank")},getRunData:()=>{let u=o.filter(h=>t.symbolToInfo.has(h)).map(h=>({type:12,data:t.symbolToInfo.get(h)?.dimValue||0}));u.push({type:12,data:a});let c=n.map((h,p)=>[...gt(h)]).reduce((h,p)=>h.concat(p),u);return c.push(...gt(r)),{outputs:[{dims:r,dataType:e}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:c}},getShaderSource:l}},ov=(n,e)=>{let t=new xf(n.inputs,e.equation),r=t.outputDims,i=n.inputs.map((a,s)=>a.dims);n.compute(Sf(i,n.inputs[0].dataType,t,r))},lv=n=>{let e=n.equation.replace(/\s+/g,"");return sn({equation:e})}}),Ef,Bu,Mf,Tf,uv,w2=Ce(()=>{bt(),Dt(),Ot(),Ef=n=>{if(!n||n.length!==2)throw new Error("Expand requires 2 input.");let e=n[0].dims,t=Array.from(n[1].getBigInt64Array(),Number),r=t.length<e.length?0:t.length-e.length,i=e.length<t.length?0:e.length-t.length;for(;r<t.length&&i<e.length;++r,++i)if(t[r]!==e[i]&&t[r]!==1&&e[i]!==1)throw new Error("Expand requires shape to be broadcastable to input")},Bu=(n,e)=>{let t=n.length-e.length,r=[];for(let i=0;i<t;++i)r.push(n[i]);for(let i=0;i<e.length;++i)r.push(e[i]===1?n[i+t]:e[i]);return r},Mf=(n,e)=>n.length>e.length?Bu(n,e):Bu(e,n),Tf=n=>{let e=n[0].dims,t=Array.from(n[1].getBigInt64Array(),Number),r=Mf(e,t),i=n[0].dataType,a=i===9?4:1,s=Math.ceil(Ee.size(r)/a),o=u=>{let c=Te("input",i,e.length,a),h=ct("output",i,r.length,a),p;if(i===9){let d=(m,y,g="")=>`
          let outputIndices${y} = ${h.offsetToIndices(`outputOffset + ${y}u`)};
          let offset${y} = ${c.broadcastedIndicesToOffset(`outputIndices${y}`,h)};
          let index${y} = offset${y} / 4u;
          let component${y} = offset${y} % 4u;
          ${m}[${y}] = ${g}(${c.getByOffset(`index${y}`)}[component${y}]);
        `;p=`
        let outputOffset = global_idx * ${a};
        var data = vec4<u32>(0);
        ${d("data",0,"u32")}
        ${d("data",1,"u32")}
        ${d("data",2,"u32")}
        ${d("data",3,"u32")}
        ${h.setByOffset("global_idx","data")}
      }`}else p=`
        let outputIndices = ${h.offsetToIndices("global_idx")};
        let inputOffset = ${c.broadcastedIndicesToOffset("outputIndices",h)};
        ${h.setByOffset("global_idx",c.getByOffset("inputOffset"))}
      }`;return`
    ${u.registerUniform("vec_size","u32").declareVariables(c,h)}
    ${u.mainStart()}
    ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
    ${p}`},l=[{type:12,data:s},...gt(e,r)];return{name:"Expand",shaderCache:{hint:`${r.length}`,inputDependencies:["rank"]},getShaderSource:o,getRunData:()=>({outputs:[{dims:r,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:l})}},uv=n=>{Ef(n.inputs),n.compute(Tf(n.inputs),{inputs:[0]})}}),Af,cv,b2=Ce(()=>{bt(),Dt(),Ot(),Cd(),Af=n=>{let e=n[0].dataType,t=Ee.size(n[0].dims),r=Ee.size(n[1].dims),i=r%4===0,a=s=>{let o=Te("x",e,[1],4),l=Te("bias",e,[1],4),u=ct("y",e,[1],4),c=[{name:"output_vec_size",type:"u32"},{name:"bias_size",type:"u32"}],h=d=>`
      let bias${d}_offset: u32 = (global_idx * 4 + ${d}) % uniforms.bias_size;
      let bias${d} = ${l.getByOffset(`bias${d}_offset / 4`)}[bias${d}_offset % 4];`,p=i?`
      let bias = ${l.getByOffset("global_idx % (uniforms.bias_size / 4)")};`:`${h(0)}${h(1)}${h(2)}${h(3)}
      let bias = ${o.type.value}(bias0, bias1, bias2, bias3);`;return`${s.registerUniforms(c).declareVariables(o,l,u)}

    ${Vc(tr(e))}

    ${s.mainStart(ls)}
      ${s.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_vec_size")}

      let x = ${o.getByOffset("global_idx")};
      ${p}
      let x_in = x + bias;
      ${u.setByOffset("global_idx",Hc("x_in"))}
    }`};return{name:"FastGeluWithBias",shaderCache:{hint:`${i}`,inputDependencies:["type","type"]},getShaderSource:a,getRunData:s=>({outputs:[{dims:s[0].dims,dataType:s[0].dataType}],programUniforms:[{type:12,data:Math.ceil(t/4)},{type:12,data:r}],dispatchGroup:{x:Math.ceil(t/ls/4)}})}},cv=n=>{n.inputs.length<2||Ee.size(n.inputs[1].dims)===0?Oy(n):n.compute(Af(n.inputs))}}),Cf,$f,dv,hv,x2=Ce(()=>{bt(),Dt(),Mn(),Ot(),Cf=n=>{if(!n||n.length!==2)throw new Error("Gather requires 2 inputs.")},$f=(n,e)=>{let t=n[0].dims,r=n[1].dims,i=t.length,a=Ee.normalizeAxis(e.axis,i),s=t.slice(0);s.splice(a,1,...r);let o=t[a],l=n[0].dataType===9?4:1,u=Math.ceil(Ee.size(s)/l),c=[{type:12,data:u},{type:6,data:o},{type:12,data:a},...gt(n[0].dims,n[1].dims,s)],h=p=>{let d=Te("data",n[0].dataType,n[0].dims.length,l),m=Te("inputIndices",n[1].dataType,n[1].dims.length),y=ct("output",n[0].dataType,s.length,l),g=w=>{let b=r.length,E=`var indicesIndices${w}  = ${m.type.indices}(0);`;for(let T=0;T<b;T++)E+=`${b>1?`indicesIndices${w}[${T}]`:`indicesIndices${w}`} = ${s.length>1?`outputIndices${w}[uniforms.axis + ${T}]`:`outputIndices${w}`};`;E+=`
          var idx${w} = ${m.getByIndices(`indicesIndices${w}`)};
          if (idx${w} < 0) {
            idx${w} = idx${w} + uniforms.axisDimLimit;
          }
          var dataIndices${w} : ${d.type.indices};
        `;for(let T=0,I=0;T<i;T++)T===a?(E+=`${i>1?`dataIndices${w}[${T}]`:`dataIndices${w}`} = u32(idx${w});`,I+=b):(E+=`${i>1?`dataIndices${w}[${T}]`:`dataIndices${w}`} = ${s.length>1?`outputIndices${w}[${I}]`:`outputIndices${w}`};`,I++);return E},_;if(n[0].dataType===9){let w=(b,E,T="")=>`
          let outputIndices${E} = ${y.offsetToIndices(`outputOffset + ${E}u`)};
          ${g(E)};
          let offset${E} = ${d.indicesToOffset(`dataIndices${E}`)};
          let index${E} = offset${E} / 4u;
          let component${E} = offset${E} % 4u;
          ${b}[${E}] = ${T}(${d.getByOffset(`index${E}`)}[component${E}]);
        `;_=`
        let outputOffset = global_idx * ${l};
        var value = vec4<u32>(0);
        ${w("value",0,"u32")}
        ${w("value",1,"u32")}
        ${w("value",2,"u32")}
        ${w("value",3,"u32")}
        ${y.setByOffset("global_idx","value")}
      `}else _=`
      let outputIndices = ${y.offsetToIndices("global_idx")};
      ${g("")};
      let value = ${d.getByIndices("dataIndices")};
      ${y.setByOffset("global_idx","value")};
      `;return`
      ${p.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(d,m,y)}
      ${p.mainStart()}
        ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        ${_}
      }`};return{name:"Gather",shaderCache:{hint:e.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:s,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:c}),getShaderSource:h}},dv=n=>sn({axis:n.axis}),hv=(n,e)=>{let t=n.inputs;Cf(t),n.compute($f(n.inputs,e))}}),Rf,If,pv,fv,S2=Ce(()=>{bt(),Dt(),Mn(),Ot(),Rf=n=>{if(!n||n.length!==2)throw new Error("GatherElements requires 2 inputs.");if(n[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(n[0].dims.length!==n[1].dims.length)throw new Error(`GatherElements requires that the data input and
                     indices input tensors be of same rank.`)},If=(n,e)=>{let t=n[0].dims,r=n[0].dataType,i=t.length,a=n[1].dims,s=n[1].dataType,o=Ee.normalizeAxis(e.axis,i),l=t[o],u=a.slice(0),c=Ee.size(u),h=Te("input",r,i),p=Te("indicesInput",s,a.length),d=ct("output",r,u.length),m=[{type:12,data:c},{type:6,data:l},{type:12,data:o}];return m.push(...gt(t,a,u)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:u,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(c/64)},programUniforms:m}),getShaderSource:y=>`
      ${y.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(h,p,d)}
      ${y.mainStart()}
      ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

      let outputIndices = ${d.offsetToIndices("global_idx")};

      var idx = ${p.getByOffset("global_idx")};
      if (idx < 0) {
        idx = idx + uniforms.axisDimLimit;
      }
      var inputIndices = ${h.type.indices}(outputIndices);
      ${h.indicesSet("inputIndices","uniforms.axis","u32(idx)")};
      let value = ${h.getByIndices("inputIndices")};

      ${d.setByOffset("global_idx","value")};
  }`}},pv=n=>sn({axis:n.axis}),fv=(n,e)=>{let t=n.inputs;Rf(t),n.compute(If(n.inputs,e))}}),Pf,kf,mv,gv,E2=Ce(()=>{bt(),Dt(),Ot(),Pf=n=>{if(!n)throw new Error("Input is missing");if(n.length<2||n.length>3)throw new Error("Invaid input number.");if(n.length===3&&n[2].dims.length>2)throw new Error("Invalid input shape of C");if(n[0].dataType!==n[1].dataType||n.length===3&&n[0].dataType!==n[2].dataType)throw new Error("Input types are mismatched")},kf=(n,e)=>{let t=n[0].dims.slice(),r=n[1].dims.slice(),[i,a,s]=E0.getShapeOfGemmResult(t,e.transA,r,e.transB,n.length===3?n[2].dims:void 0),o=[i,a];if(!o)throw new Error("Can't use gemm on the given tensors");let l=Ee.size(o),u=[{type:12,data:l},{type:12,data:i},{type:12,data:a},{type:12,data:s},{type:1,data:e.alpha},{type:1,data:e.beta}],c=["type","type"];n.length===3&&(u.push(...gt(n[2].dims)),c.push("rank")),u.push(...gt(o));let h=p=>{let d="";e.transA&&e.transB?d="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":e.transA&&!e.transB?d="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!e.transA&&e.transB?d="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!e.transA&&!e.transB&&(d="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let m=e.alpha===1?"":"value *= uniforms.alpha;",y=Te("a",n[0].dataType,n[0].dims),g=Te("b",n[1].dataType,n[1].dims),_=y.type.value,w=null,b=[y,g];n.length===3&&(w=Te("c",n[2].dataType,n[2].dims.length),b.push(w));let E=ct("output",n[0].dataType,o.length);b.push(E);let T=[{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`
  ${p.registerUniforms(T).declareVariables(...b)}

  ${p.mainStart()}
    ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

    let m = global_idx / uniforms.N;
    let n = global_idx % uniforms.N;

    var value = ${_}(0);
    for (var k: u32 = 0u; k < uniforms.K; k++) {
      ${d}
    }

    ${m}
    ${w!=null?`let cOffset = ${w.broadcastedIndicesToOffset("vec2(m, n)",E)}; value += ${_}(uniforms.beta) * ${w.getByOffset("cOffset")};`:""}
    output[global_idx] = value;
  }`};return{name:"Gemm",shaderCache:{hint:`${e.cacheKey}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:o,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u}),getShaderSource:h}},mv=n=>{let e=n.transA,t=n.transB,r=n.alpha,i=n.beta;return{transA:e,transB:t,alpha:r,beta:i,cacheKey:`${n.transA};${n.transB};${n.alpha===1}`}},gv=(n,e)=>{Pf(n.inputs),n.compute(kf(n.inputs,e))}}),Of,Df,Lf,_v,M2=Ce(()=>{bt(),Dt(),Ot(),Of=(n,e)=>{let t=n[0].dims,r=t,i=2,a=Ee.sizeToDimension(t,i),s=Ee.sizeFromDimension(t,i),o=vn(s),l=s/o,u=[t[0],t[1],l],c=["rank","type","type"],h=[{type:12,data:s},{type:12,data:l}];h.push(...gt(u,u));let p=d=>{let m=Te("x",n[0].dataType,u.length,o),y=Te("scale",n[1].dataType,n[1].dims),g=Te("bias",n[2].dataType,n[2].dims),_=ct("output",n[0].dataType,u.length,o),w=[m,y,g,_],b=m.type.value,E=o===1?"f32":`vec${o}<f32>`,T=64,I=[{name:"normSize",type:"u32"},{name:"normPackedSize",type:"u32"}];return`
  var<workgroup> meanShared : f32;
  var<workgroup> squaredNormShared : f32;
  var<workgroup> workgroupShared : array<${E}, ${T}>;
  const workgroupSize = ${T}u;
  ${d.registerUniforms(I).declareVariables(...w)}
  ${d.mainStart(T)}
    let norm = global_idx / workgroupSize;
    let batch = norm / uniforms.x_shape[1];
    let channel = norm % uniforms.x_shape[1];
    let localIndex = local_id.x;

    // initialize workgroup memory
    var initial = ${E}(0);
    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {
      initial = initial + ${E}(${m.get("batch","channel","h")});
    }
    workgroupShared[localIndex] = initial;
    workgroupBarrier();

    // Calculate the mean of current channel data.
    for (var currSize = workgroupSize >> 1;  currSize > 0; currSize = currSize >> 1) {
      if (localIndex < currSize) {
        workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];
      }
      workgroupBarrier();
    }
    if (localIndex == 0) {
      meanShared = ${zi("workgroupShared[0]",o)} / f32(uniforms.normSize);
    }
    workgroupBarrier();

    // reinitialize workgroup memory.
    initial = ${E}(0);
    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {
      let deviation =  ${E}(${m.get("batch","channel","h")}) - ${E}(meanShared);
      initial = initial + deviation * deviation;
    }
    workgroupShared[localIndex] = initial;
    workgroupBarrier();

    // Calculate the sum of square of deviation of current channel data.
    for (var currSize = workgroupSize >> 1;  currSize > 0; currSize = currSize >> 1) {
      if (localIndex < currSize) {
        workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];
      }
      workgroupBarrier();
    }
    if (localIndex == 0) {
      squaredNormShared = ${zi("workgroupShared[0]",o)};
    }
    workgroupBarrier();

    let invStdDev = inverseSqrt(squaredNormShared / f32(uniforms.normSize) + f32(${e.epsilon}));
    let channelScale = invStdDev * f32(${y.getByOffset("channel")});
    let channelShift = f32(${g.getByOffset("channel")}) - meanShared * channelScale;
    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {
      let value = ${m.get("batch","channel","h")} * ${b}(${E}(channelScale)) + ${b}(${E}(channelShift));
      ${_.set("batch","channel","h","value")};
    }
  }`};return{name:"InstanceNormalization",shaderCache:{hint:`${e.epsilon};${o}`,inputDependencies:c},getRunData:()=>({outputs:[{dims:r,dataType:n[0].dataType}],dispatchGroup:{x:a},programUniforms:h}),getShaderSource:p}},Df=(n,e,t,r,i,a,s,o)=>{let l=vn(s),u=64,c=l===1?"vec2f":`mat2x${l}f`,h=l===1?"f32":`vec${l}f`,p=(I,C)=>`${c}(${I}, ${C})`,d=i*s/l,m=Math.ceil(a/u),y=["type"],g=[{type:12,data:m},{type:12,data:a},{type:12,data:Math.floor(s/l)},{type:12,data:Math.floor(a*s/l)}],_=I=>{let C=Te("input",e.dataType,e.dims,l);return`
  ${I.declareVariables(C)}
  @group(0) @binding(1) var<storage, read_write> output : array<${c}>;
  struct Uniforms {wg_size:u32, H:u32, C:u32, image_size:u32};
  @group(0) @binding(2) var<uniform> uniforms: Uniforms;

  ${I.mainStart(u)}
    let currentImageNumber = global_idx / ${u} / uniforms.C;
    let currentChannelNumber = (global_idx / ${u}) % uniforms.C;
    let wgOffset = local_id.x * uniforms.wg_size;
    if (wgOffset >= uniforms.H) {
        return;
    }
    let wgMax = min(wgOffset + uniforms.wg_size, uniforms.H);

    let offset = currentImageNumber * uniforms.image_size + currentChannelNumber;
    var sum = ${ui("f32",l)};
    var squaredSum = ${ui("f32",l)};
    for (var i: u32 = wgOffset; i < wgMax; i++) {
        let value = ${h}(input[offset + i * uniforms.C]);
        sum += value;
        squaredSum += value * value;
    }
    output[global_idx] = ${p("sum","squaredSum")};
  }`},w=n.compute({name:"InstanceNormComputeMean",shaderCache:{hint:`${l}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:[i,s,u,2],dataType:1}],dispatchGroup:{x:i*s/l},programUniforms:g}),getShaderSource:_},{inputs:[e],outputs:[-1]})[0],b=[{type:12,data:d},{type:12,data:a},{type:12,data:Math.floor(s/l)},{type:12,data:Math.floor(u*s/l)}],E=["type","type","type"],T=I=>{let C=Te("scale",t.dataType,t.dims,l),B=Te("bias",r.dataType,r.dims,l);return`
  @group(0) @binding(0) var<storage, read> input : array<${c}>;
  @group(0) @binding(1) var<storage, read> scale : array<${C.type.storage}>;
  @group(0) @binding(2) var<storage, read> bias : array<${B.type.storage}>;
  @group(0) @binding(3) var<storage, read_write> output : array<${c}>;
  struct Uniforms {units_of_work : u32, H: u32, C : u32, image_size : u32};
  @group(0) @binding(4) var<uniform> uniforms: Uniforms;

  ${I.mainStart()}
    ${I.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.units_of_work")}
    let currentImageNumber = global_idx / uniforms.C;
    let currentChannelNumber = global_idx % uniforms.C;

    let offset = currentImageNumber * uniforms.image_size;
    var sum = ${ui("f32",l)};
    var squaredSum = ${ui("f32",l)};
    for (var i: u32 = 0; i < min(${u}, uniforms.H); i++) {
        let value = input[offset + i + currentChannelNumber * ${u}];
        sum += value[0];
        squaredSum += value[1];
    }
    sum = sum / f32(uniforms.H);
    squaredSum = squaredSum / f32(uniforms.H);
    let invStdDev = inverseSqrt(squaredSum - sum * sum + f32(${o}));
    let channelScale = invStdDev * ${h}(scale[currentChannelNumber]);
    let channelShift = ${h}(bias[currentChannelNumber]) - sum * channelScale;

    output[global_idx] = ${p("channelScale","channelShift")};
  }`};return n.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${l};${o}`,inputDependencies:E},getRunData:()=>({outputs:[{dims:[i,s,2],dataType:1}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:b}),getShaderSource:T},{inputs:[w,t,r],outputs:[-1]})[0]},Lf=(n,e,t)=>{let r=e[0].dims,i=r,a=r[0],s=r[r.length-1],o=Ee.sizeFromDimension(r,1)/s,l=vn(s),u=Ee.size(i)/l,c=[{type:12,data:o},{type:12,data:Math.floor(s/l)}],h=["type","type"],p=Df(n,e[0],e[1],e[2],a,o,s,t.epsilon),d=m=>{let y=Rn(e[0].dataType),g=l===1?"vec2f":`mat2x${l}f`,_=l===1?y:`vec${l}<${y}>`,w=Te("input",e[0].dataType,e[0].dims,l),b=ct("output",e[0].dataType,i,l);return`
  @group(0) @binding(0) var<storage, read> input : array<${w.type.storage}>;
  @group(0) @binding(1) var<storage, read> scaleInput : array<${g}>;
  @group(0) @binding(2) var<storage, read_write> output : array<${b.type.storage}>;
  struct Uniforms {H: u32, C : u32};
  @group(0) @binding(3) var<uniform> uniforms: Uniforms;

  ${m.mainStart()}
    let currentImageNumber = global_idx / (uniforms.C * uniforms.H);
    let currentChannelNumber = global_idx % uniforms.C;

    let scaleOffset = currentImageNumber * uniforms.C + currentChannelNumber;
    let scale = scaleInput[scaleOffset];
    output[global_idx] = fma(input[global_idx], ${_}(scale[0]), ${_}(scale[1]));
  }`};n.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${l}`,inputDependencies:h},getRunData:()=>({outputs:[{dims:i,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(u/64)},programUniforms:c}),getShaderSource:d},{inputs:[e[0],p]})},_v=(n,e)=>{e.format==="NHWC"?Lf(n,n.inputs,e):n.compute(Of(n.inputs,e))}}),zf,Nf,yv,T2=Ce(()=>{bt(),Dt(),Ot(),zf=n=>{if(!n||n.length<2)throw new Error("layerNorm requires at least 2 inputs.")},Nf=(n,e,t)=>{let r=e.simplified,i=n[0].dims,a=n[1],s=!r&&n[2],o=i,l=Ee.normalizeAxis(e.axis,i.length),u=Ee.sizeToDimension(i,l),c=Ee.sizeFromDimension(i,l),h=Ee.size(a.dims),p=s?Ee.size(s.dims):0;if(h!==c||s&&p!==c)throw new Error(`Size of X.shape()[axis:] == ${c}.
       Size of scale and bias (if provided) must match this.
       Got scale size of ${h} and bias size of ${p}`);let d=[];for(let T=0;T<i.length;++T)T<l?d.push(i[T]):d.push(1);let m=vn(c),y=["type","type"],g=[{type:12,data:u},{type:1,data:c},{type:12,data:Math.floor(c/m)},{type:1,data:e.epsilon}];s&&y.push("type");let _=t>1,w=t>2,b=T=>{let I=Rn(n[0].dataType),C=[Te("x",n[0].dataType,n[0].dims,m),Te("scale",a.dataType,a.dims,m)];s&&C.push(Te("bias",s.dataType,s.dims,m)),C.push(ct("output",n[0].dataType,o,m)),_&&C.push(ct("mean_data_output",1,d)),w&&C.push(ct("inv_std_output",1,d));let B=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
  ${T.registerUniforms(B).declareVariables(...C)}
  ${T.mainStart()}
    ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
    let offset = global_idx * uniforms.norm_size_vectorized;
    var mean_vector = ${ui("f32",m)};
    var mean_square_vector = ${ui("f32",m)};

    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
      let value = ${es(I,m,"x[h + offset]")};
      mean_vector += value;
      mean_square_vector += value * value;
    }
    let mean = ${zi("mean_vector",m)} / uniforms.norm_size;
    let inv_std_dev = inverseSqrt(${zi("mean_square_vector",m)} / uniforms.norm_size ${r?"":"- mean * mean"} + uniforms.epsilon);

    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
      let f32input = ${es(I,m,"x[j + offset]")};
      let f32scale = ${es(I,m,"scale[j]")};
      output[j + offset] = ${C[0].type.value}((f32input ${r?"":"- mean"}) * inv_std_dev * f32scale
        ${s?`+ ${es(I,m,"bias[j]")}`:""}
      );
    }

    ${_?"mean_data_output[global_idx] = mean":""};
    ${w?"inv_std_output[global_idx] = inv_std_dev":""};
  }`},E=[{dims:o,dataType:n[0].dataType}];return _&&E.push({dims:d,dataType:1}),w&&E.push({dims:d,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${m};${t};${r}`,inputDependencies:y},getRunData:()=>({outputs:E,dispatchGroup:{x:Math.ceil(u/64)},programUniforms:g}),getShaderSource:b}},yv=(n,e)=>{zf(n.inputs),n.compute(Nf(n.inputs,e,n.outputCount))}}),Uf,Bf,vv,wv,A2=Ce(()=>{bt(),Dt(),Mn(),Ot(),Uf=(n,e)=>{if(n.length<3||n.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let t=n[0],r=t.dims.length;if(t.dims[r-1]!==e.k)throw new Error("The last dim of input shape does not match the k value");let i=Math.floor((e.k+e.blockSize-1)/e.blockSize),a=e.blockSize/8*e.bits,s=n[1];if(!Ee.areEqual(s.dims,[e.n,i,a]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let o=n[2].dims;if(Ee.size(o)!==e.n*i)throw new Error("scales input size error.");if(n.length===4){let l=n[3].dims,u=e.bits>4?e.n*i:e.n*Math.floor((i+1)/2);if(Ee.size(l)!==u)throw new Error("zeroPoints input size error.")}},Bf=(n,e,t,r)=>{let i=n[0].dims,a=i.length,s=Math.floor((e.k+e.blockSize-1)/e.blockSize),o=i[a-2],l=e.k,u=e.n,c=i.slice(0,a-2),h=Ee.size(c),p=e.blockSize/8*e.bits/4,d=n[0].dataType,m=vn(o),y=vn(e.k),g=vn(p),_=Xs(d),w=o*s*_,b=Math.floor(r/w),E=s<=t[0]&&b>0,T=!E||b>=4?vn(u):b>=2&&vn(u)>=2?2:1,I=c.concat([o,u]),C=Ee.size(I)/T/m,B=E?[]:[{type:12,data:C},{type:12,data:e.blockSize}],R=[h,o,l/y],k=Ee.convertShape(n[1].dims).slice();k.splice(-1,1,p/g),B.push(...gt(R)),B.push(...gt(k)),B.push(...gt(n[2].dims)),n.length===4&&B.push(...gt(Ee.convertShape(n[3].dims)));let j=[h,o,u/T];B.push(...gt(j));let Q=ie=>{let F=R.length,$=Te("a",n[0].dataType,F,y),L=Te("b",12,k.length,g),H=Te("scales",n[2].dataType,n[2].dims.length),K=[$,L,H],X=n.length===4?Te("zero_points",12,n[3].dims.length):void 0;X&&K.push(X);let J=j.length,W=ct("output",n[0].dataType,J,T),ae=[{name:"output_size",type:"u32"},{name:"block_size",type:"u32"}],Z=Rn(n[0].dataType),de=(()=>{switch(y){case 1:return`array<${Z}, 8>`;case 2:return`mat4x2<${Z}>`;case 4:return`mat2x4<${Z}>`;default:throw new Error(`${y}-component is not supported.`)}})(),ye=`
        for (var word: u32 = 0; word < ${p}; word += ${g}) {
          ${L.indicesSet("b_indices","2","word")};
          let b_data = ${L.getByIndices("b_indices")};
          for (var i: u32 = 0; i < ${g}; i++) {
            let b_value: u32 = ${g===1?"b_data":"b_data[word + i]"};
            let b_mask: u32 = 0x0F0F0F0Fu;
            let b_value_lower: vec4<u32> = unpack4xU8(b_value & b_mask);
            let b_value_upper: vec4<u32> = unpack4xU8((b_value >> 4) & b_mask);
            let b_quantized_values = ${de}(${Array.from({length:4},(ke,Be)=>`${Z}(b_value_lower[${Be}]), ${Z}(b_value_upper[${Be}])`).join(", ")});
            let b_dequantized_values = ${y===1?`${de}(${Array.from({length:8},(ke,Be)=>`(b_quantized_values[${Be}] - zero_point) * scale`).join(", ")});`:`(b_quantized_values - ${de}(${Array(8).fill("zero_point").join(",")})) * scale;`};
            // Number of B elements per 32-bit word is 32/bits = 32/4 = 8
            for (var m: u32 = 0; m < ${E?o:m}u; m++) {
              ${$.indicesSet("a_indices",F-2,E?"m":`row * ${m} + m`)};
              ${$.indicesSet("a_indices",F-1,"word_offset")};
              var input_offset = ${$.indicesToOffset("a_indices")};
              var a_data: ${de};
              for (var j: u32 = 0; j < ${8/y}; j++) {
                a_data[j] = ${$.getByOffset("input_offset")};
                input_offset++;
              }
              ${E?"workgroup_shared[workgroup_shared_offset + m]":"output_values[m]"}${T>1?"[c]":""} += ${Array.from({length:8/y},(ke,Be)=>`${y===1?`a_data[${Be}] * b_dequantized_values[${Be}]`:`dot(a_data[${Be}], b_dequantized_values[${Be}])`}`).join(" + ")};
            }
            word_offset += ${8/y};
          }
        }`,Pe=X?`
          zero_point_offset += 4;
          if (zero_point_offset == 32) {
            zero_point_offset = 0;
            zero_point_index++;
            zero_point_word = ${X.getByOffset("zero_point_index")};
          }`:"";return E?`
        var<workgroup> workgroup_shared: array<${W.type.value}, ${o*s}>;
        ${ie.declareVariables(...K,W)}
        ${ie.mainStart([s,1,1])}
          var a_indices: ${$.type.indices};
          var block = local_id.x;
          var col = workgroup_id.y;
          var batch = workgroup_id.z;
          ${$.indicesSet("a_indices","0","batch")};
          // Two zero points are packed into one byte when uniforms.bits is 4.
          for (var c: u32 = 0; c < ${T}; c++) {
            let col_times_components_plus_c = col * ${T} + c;
              ${X?`
            var zero_point_bytes_per_col: u32 = (${s} + 1) / 2;
            var zero_point_byte_count: u32 = col_times_components_plus_c * zero_point_bytes_per_col + (block >> 0x1u);
            var zero_point_word_index: u32 = zero_point_byte_count >> 0x2u;
            var zero_point_byte_offset: u32 = zero_point_byte_count & 0x3u;
            var zero_point_nibble_offset: u32 = block & 0x1u;
            var zero_point_bits_offset: u32 = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
            var zero_point_word: u32 = ${X.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;`:""}
            var b_indices: ${L.type.indices};
            ${L.indicesSet("b_indices","0","col_times_components_plus_c")};
            // The scale and zero points are computed per block.
            var scales_index = col_times_components_plus_c * ${s} + block;
            let scale = ${H.getByOffset("scales_index")};
            // The default zero point is 8 for unsigned 4-bit quantization.
            let zero_point = ${Z}(${X?"(zero_point_word) & 0xFu":8});
            ${L.indicesSet("b_indices","1","block")};
            var word_offset: u32 = block * ${e.blockSize/y};
            var workgroup_shared_offset: u32 = block * ${o};
            ${ye}
          }
          workgroupBarrier();
          if (local_id.x == 0u) {
            var output_indices: ${W.type.indices};
            ${W.indicesSet("output_indices","0","batch")};
            ${W.indicesSet("output_indices",J-1,"col")};
            ${W.indicesSet("output_indices",J-2,"0")};
            var output_offset = ${W.indicesToOffset("output_indices")};
            for (var m: u32 = 0u; m < ${o}u; m++) {
              var output_value: ${W.type.value} = ${W.type.value}(0);
              var workgroup_shared_offset: u32 = m;
              for (var b: u32 = 0u; b < ${s}u; b++) {
                output_value += workgroup_shared[workgroup_shared_offset];
                workgroup_shared_offset += ${o};
              }
              ${W.setByOffset("output_offset","output_value")};
              output_offset += ${u/T};
            }
          }
        }`:`
        ${ie.registerUniforms(ae).declareVariables(...K,W)}
        ${ie.mainStart()}
          ${ie.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          var output_values: array<${W.type.value}, ${m}>;
          var output_indices = ${W.offsetToIndices("global_idx")};
          var col = ${W.indicesGet("output_indices",J-1)};
          var row = ${W.indicesGet("output_indices",J-2)};
          var a_indices: ${$.type.indices} = output_indices;
          // Two zero points are packed into one byte because uniforms.bits <= 4.
          // zero_point_offset is either 0 or 4. It is bit offset within one byte.
          // TODO support zero_point_offset for bits > 4
          ${X?`
          var zero_point_abs_offset = col * ${T} * ((${s} + 1) / 2);
          var zero_point_index: u32 = zero_point_abs_offset / 4;
          var zero_point_word: u32 = ${X.getByOffset("zero_point_index")};
          var zero_point_offset: u32 = (zero_point_abs_offset % 4) * 8;`:""}
          var scale_index = col * ${s*T};
          var b_indices: ${L.type.indices};
          for (var c: u32 = 0; c < ${T}; c++) {
            ${L.indicesSet("b_indices","0",`col * ${T} + c`)};
            var block_offset: u32 = 0;
            for (var block: u32 = 0; block < ${s}; block++) {
              // The scale and zero points are computed per block.
              let scale = ${H.getByOffset("scale_index")};
              // The default zero point is 8 for unsigned 4-bit quantization.
              let zero_point = ${Z}(${X?"extractBits(zero_point_word, zero_point_offset, 4)":8});
              ${L.indicesSet("b_indices","1","block")};
              var word_offset: u32 = block_offset;
              ${ye}
              scale_index++;
              ${Pe}
              block_offset += uniforms.block_size / ${y};
            }
            // Drop the trailing 4 bits if the zero_poit_offset is not a byte boundary to align with the next byte.
            ${X?`if (zero_point_offset % 8 > 0) {
                ${Pe}
              }`:""}
            }
            for (var k: u32 = 0u; k < ${m}u; k++) {
              ${W.indicesSet("output_indices",J-2,`${m} * row + k`)};
              ${W.setByIndices("output_indices","output_values[k]")}
            }
        }`};return{name:E?"BlockwiseMatMulNBits":"MatMulNBits",shaderCache:{hint:`${e.cacheKey};${o};${d};${n.length}`,inputDependencies:Array(n.length).fill("rank")},getRunData:()=>({outputs:[{dims:I,dataType:d}],name:E?"BlockwiseMatMulNBits":"MatMulNBits",dispatchGroup:E?{x:1,y:Math.ceil(u/T),z:h}:{x:Math.ceil(C/64)},programUniforms:B}),getShaderSource:Q}},vv=(n,e)=>{Uf(n.inputs,e);let t=n.getMaxComputeWorkgroupSizes(),r=n.getMaxComputeWorkgroupStoragesize();n.compute(Bf(n.inputs,e,t,r))},wv=n=>sn(n)}),Gn,Ff,bv,Fu,Gf,Vo,xv,C2=Ce(()=>{bt(),Dt(),Mn(),Sd(),ey(),Ot(),so(),Gn=(n,e)=>n.length>e&&n[e].dims.length>0&&Ee.size(n[e].dims)>0?n[e]:void 0,Ff=(n,e)=>{let t=n[0],r=Gn(n,1),i=Gn(n,2),a=Gn(n,3),s=Gn(n,4),o=Gn(n,5),l=Gn(n,6),u=Gn(n,7);if(t.dims.length!==3&&t.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let c=!1,h=t.dims[0],p=t.dims[1],d=t.dims.length===3?c?t.dims[2]/3:t.dims[2]:e.numHeads*t.dims[4],m=p,y=0,g=0,_=Math.floor(d/e.numHeads);if(l&&u){if(l.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(l.dims[0]!==h||l.dims[1]!==e.numHeads||l.dims[3]!==_)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(u.dims[0]!==h||u.dims[1]!==e.numHeads||u.dims[3]!==_)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(l.dims[2]!==u.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(u.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');y=l.dims[2],g=l.dims[2]}else if(l||u)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let w;if(r){if(t.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(r.dims.length<3||r.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(t.dims[0]!==r.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(r.dims.length===3){if(r.dims[2]!==t.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');w=2,m=r.dims[1]}else if(r.dims.length===5){if(r.dims[2]!==e.numHeads||r.dims[3]!==2||r.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.');w=5,m=r.dims[1]}else{if(r.dims[1]!==e.numHeads||r.dims[3]!==_)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');w=0,m=r.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]!==e.numHeads||t.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');w=3}if(a){if(a.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(i&&t.dims.length===5&&t.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let b=0;if(s){b=8;let B=s.dims;throw B.length===1?B[0]===h?b=1:B[0]===3*h+2&&(b=3):B.length===2&&B[0]===h&&B[1]===m&&(b=5),b===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, kv_sequence_length)'):new Error("Mask not supported")}let E=!1,T=d;if(i){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(m!==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(m!==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],E=!0}}let I=y+m,C=!1;if(s)throw new Error("Key padding mask is not supported");if(o){if(o.dims.length!==4)throw new Error('Input "relative_position_bias" is expected to have 4 dimensions');if(o.dims[0]!==h&&o.dims[0]!==1||o.dims[1]!==e.numHeads||o.dims[2]!==p||o.dims[3]!==I)throw new Error('Input "relative_position_bias" shape (batch_size, 1, sequence_length, kv_sequence_length)')}return{batchSize:h,sequenceLength:p,pastSequenceLength:y,kvSequenceLength:m,totalSequenceLength:I,maxSequenceLength:g,inputHiddenSize:0,hiddenSize:d,vHiddenSize:T,headSize:_,vHeadSize:Math.floor(T/e.numHeads),numHeads:e.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:e.maskFilterValue,maskType:b,scale:e.scale,broadcastResPosBias:C,passPastInKv:E,qkvFormat:w}},bv=n=>sn({...n}),Fu=sn({perm:[0,2,1,3]}),Gf=(n,e,t,r,i,a,s)=>{let o=[r,i,a],l=Ee.size(o),u=[{type:12,data:l},{type:12,data:s},{type:12,data:a}],c=h=>{let p=ct("qkv_with_bias",e.dataType,o),d=Te("qkv",e.dataType,o),m=Te("bias",t.dataType,o),y=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
  ${h.registerUniforms(y).declareVariables(d,m,p)}
  ${h.mainStart()}
    ${h.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 n.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:o,dataType:e.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(l/64)},programUniforms:u}),getShaderSource:c},{inputs:[e,t],outputs:[-1]})[0]},Vo=(n,e,t,r,i,a,s,o)=>{let l=a;if(s){if(r===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return l=Gf(n,a,s,e,r,t*i,o),l=l.reshape([e,r,t,i]),n.compute(pi(l,Fu.perm),{inputs:[l],outputs:[-1]})[0]}else return a.dims.length===3&&(l=a.reshape([e,r,t,i])),n.compute(pi(l,Fu.perm),{inputs:[l],outputs:[-1]})[0]},xv=(n,e)=>{let t=Ff(n.inputs,e),r=n.inputs[0],i=Gn(n.inputs,1),a=Gn(n.inputs,2),s=Gn(n.inputs,3),o=Gn(n.inputs,4),l=Gn(n.inputs,5),u=Gn(n.inputs,6),c=Gn(n.inputs,7);if(r.dims.length===5)throw new Error("Packed QKV is not implemented");if(i?.dims.length===5)throw new Error("Packed KV is not implemented");let h=i&&a&&i.dims.length===4&&a.dims.length===4,p=Vo(n,t.batchSize,t.numHeads,t.sequenceLength,t.headSize,r,s,0);if(h)return Nl(n,p,i,a,o,void 0,u,c,l,t,e);if(!i||!a)throw new Error("key and value must be provided");let d=Vo(n,t.batchSize,t.numHeads,t.kvSequenceLength,t.headSize,i,s,t.hiddenSize),m=Vo(n,t.batchSize,t.numHeads,t.kvSequenceLength,t.vHeadSize,a,s,2*t.hiddenSize);Nl(n,p,d,m,o,void 0,u,c,l,t,e)}}),Wf,Vf,Hf,qf,jf,Xf,Yf,Kf,Sv,$2=Ce(()=>{bt(),Dt(),Ot(),Wf=n=>{if(!n||n.length<1)throw new Error("Too few inputs");if(n[0].dataType!==1&&n[0].dataType!==10)throw new Error("Input type must be float or float16.");if(n.length>=2){let e=n[0].dims.length*2===n[1].dims[0];if(n.length===4&&(e=n[3].dims[0]*2===n[1].dims[0]),!e)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},Vf=(n,e,t)=>{let r="";for(let i=e-1;i>=0;--i)r+=`
            k = i32(${n.indicesGet("indices",i)}) - ${Et("uniforms.pads",i,t)};
            if (k < 0) {
              break;
            }
            if (k >= i32(${Et("uniforms.x_shape",i,e)})) {
              break;
            }
            offset += k * i32(${Et("uniforms.x_strides",i,e)});
        `;return`
          value = ${n.type.value}(uniforms.constant_value);
          for (var i = 0; i < 1; i++) {
            var offset = 0;
            var k = 0;
            ${r}
            value = x[offset];
          }
      `},Hf=(n,e,t)=>{let r="";for(let i=e-1;i>=0;--i)r+=`
                k = i32(${n.indicesGet("indices",i)}) - ${Et("uniforms.pads",i,t)};
                if (k < 0) {
                  k = -k;
                }
                {
                  let _2n_1 = 2 * (i32(${Et("uniforms.x_shape",i,e)}) - 1);
                  k = k % _2n_1;
                  if(k >= i32(${Et("uniforms.x_shape",i,e)})) {
                    k = _2n_1 - k;
                  }
                }
                offset += k * i32(${Et("uniforms.x_strides",i,e)});
            `;return`
              var offset = 0;
              var k = 0;
              ${r}
              value = x[offset];
          `},qf=(n,e,t)=>{let r="";for(let i=e-1;i>=0;--i)r+=`
                k = i32(${n.indicesGet("indices",i)}) - ${Et("uniforms.pads",i,t)};
                if (k < 0) {
                  k = 0;
                }
                if (k >= i32(${Et("uniforms.x_shape",i,e)})) {
                  k = i32(${Et("uniforms.x_shape",i,e)}) - 1;
                }
                offset += k * i32(${Et("uniforms.x_strides",i,e)});
            `;return`
              var offset = 0;
              var k = 0;
              ${r}
              value = x[offset];
          `},jf=(n,e,t)=>{let r="";for(let i=e-1;i>=0;--i)r+=`
                k = i32(${n.indicesGet("indices",i)}) - ${Et("uniforms.pads",i,t)};
                if (k < 0)  {
                  k += i32(${Et("uniforms.x_shape",i,e)}]);
                }
                if (k >= i32(${Et("uniforms.x_shape",i,e)})) {
                  k -= i32(${Et("uniforms.x_shape",i,e)});
                }
                offset += k * i32(${Et("uniforms.x_strides",i,e)});
            `;return`
              var offset = 0;
              var k = 0;
              ${r}
              value = x[offset];
          `},Xf=(n,e,t)=>{switch(t.mode){case 0:return Vf(n,e,t.pads.length);case 1:return Hf(n,e,t.pads.length);case 2:return qf(n,e,t.pads.length);case 3:return jf(n,e,t.pads.length);default:throw new Error("Invalid mode")}},Yf=(n,e)=>{let t=Ee.padShape(n[0].dims.slice(),e.pads),r=n[0].dims,i=Ee.size(t),a=[{type:12,data:i},{type:6,data:e.pads}];e.mode===0&&a.push({type:n[0].dataType,data:e.value}),a.push(...gt(n[0].dims,t));let s=["rank"],o=l=>{let u=ct("output",n[0].dataType,t.length),c=Te("x",n[0].dataType,r.length),h=c.type.value,p=Xf(u,r.length,e),d=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:e.pads.length}];return e.mode===0&&d.push({name:"constant_value",type:h}),`
            ${l.registerUniforms(d).declareVariables(c,u)}
            ${l.mainStart()}
            ${l.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

            let indices = ${u.offsetToIndices("global_idx")};

            var value = ${h}(0);
            ${p}
            output[global_idx] = value;
        }`};return{name:"Pad",shaderCache:{hint:`${e.mode}`,inputDependencies:s},getRunData:()=>({outputs:[{dims:t,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(Ee.size(t)/64)},programUniforms:a}),getShaderSource:o}},Kf=(n,e)=>{if(n.length>1){let t=n[1].getBigInt64Array(),r=n.length>=3&&n[2].data?n[2].getFloat32Array()[0]:0,i=n[0].dims.length,a=new Int32Array(2*i).fill(0);if(n.length>=4){let o=n[3].getBigInt64Array();for(let l=0;l<o.length;l++)a[Number(o[l])]=Number(t[l]),a[Number(o[l])+i]=Number(t[l+o.length])}else t.forEach((o,l)=>a[Number(l)]=Number(o));let s=[];return a.forEach(o=>s.push(o)),{mode:e.mode,value:r,pads:s}}else return e},Sv=(n,e)=>{Wf(n.inputs);let t=Kf(n.inputs,e);n.compute(Yf(n.inputs,t),{inputs:[0]})}}),As,Gu,Wu,Vu,Hu,Zf,Qf,qu,ju,Ev,Mv,Xu,Tv,Av,Yu,Cv,$v,Rv,Iv,R2=Ce(()=>{Ur(),bt(),Dt(),Ot(),As=n=>{if(Kt.webgpu.validateInputContent&&(!n||n.length!==1))throw new Error("Pool ops requires 1 input.")},Gu=(n,e,t)=>{let r=e.format==="NHWC",i=n.dims.slice();r&&i.splice(1,0,i.pop());let a=Object.hasOwnProperty.call(e,"dilations"),s=e.kernelShape.slice(),o=e.strides.slice(),l=a?e.dilations.slice():[],u=e.pads.slice();Dl.adjustPoolAttributes(t,i,s,o,l,u);let c=Dl.computePoolOutputShape(t,i,o,l,s,u,e.autoPad),h=Object.assign({},e);a?Object.assign(h,{kernelShape:s,strides:o,pads:u,dilations:l,cacheKey:e.cacheKey}):Object.assign(h,{kernelShape:s,strides:o,pads:u,cacheKey:e.cacheKey});let p=c.slice();return p.push(p.splice(1,1)[0]),[h,r?p:c]},Wu=(n,e)=>{let t=e.format==="NHWC",r=Ee.size(n),i=Ee.size(e.kernelShape),a=[{type:12,data:r},{type:12,data:i}],s=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(e.kernelShape.length<=2){let o=e.kernelShape[e.kernelShape.length-1],l=e.strides[e.strides.length-1],u=e.pads[e.pads.length/2-1],c=e.pads[e.pads.length-1],h=!!(u+c);a.push({type:12,data:o},{type:12,data:l},{type:12,data:u},{type:12,data:c}),s.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let p=!1;if(e.kernelShape.length===2){let d=e.kernelShape[e.kernelShape.length-2],m=e.strides[e.strides.length-2],y=e.pads[e.pads.length/2-2],g=e.pads[e.pads.length-2];p=!!(y+g),a.push({type:12,data:d},{type:12,data:m},{type:12,data:y},{type:12,data:g}),s.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[a,s,!0,h,p]}else{if(t)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let o=Ee.computeStrides(e.kernelShape);a.push({type:12,data:o},{type:12,data:e.pads},{type:12,data:e.strides}),s.push({name:"kernelStrides",type:"u32",length:o.length},{name:"pads",type:"u32",length:e.pads.length},{name:"strides",type:"u32",length:e.strides.length});let l=e.pads.reduce((u,c)=>u+c);return[a,s,!!l,!1,!1]}},Vu=(n,e,t,r,i,a,s,o,l,u,c,h)=>{let p=i.format==="NHWC",d=e.type.value,m=ct("output",e.type.tensor,r);if(i.kernelShape.length<=2){let y="",g="",_="",w=t-(p?2:1);if(c?y=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${w}] = indices[${w}] * uniforms.sw - uniforms.pwStart + i;
                  if (xIndices[${w}] < 0 || xIndices[${w}]
                      >= uniforms.x_shape[${w}]) {
                    pad++;
                    continue;
                  }
                  let x_val = x[${e.indicesToOffset("xIndices")}];
                  ${a}
                }`:y=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${w}] = indices[${w}] * uniforms.sw - uniforms.pwStart + i;
                  let x_val = x[${e.indicesToOffset("xIndices")}];
                  ${a}
                }`,i.kernelShape.length===2){let b=t-(p?3:2);h?g=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${b}] = indices[${b}] * uniforms.sh - uniforms.phStart + j;
                  if (xIndices[${b}] < 0 || xIndices[${b}] >= uniforms.x_shape[${b}]) {
                    pad += i32(uniforms.kw);
                    continue;
                  }
              `:g=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${b}] = indices[${b}] * uniforms.sh - uniforms.phStart + j;
                `,_=`
              }
            `}return`
            ${n.registerUniforms(l).declareVariables(e,m)}

            ${n.mainStart()}
              ${n.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

              let indices = ${m.offsetToIndices("global_idx")};
              var xIndices = ${m.offsetToIndices("global_idx")};

              var value = ${d}(${o});
              var pad = 0;
              ${g}
              ${y}
              ${_}
              ${s}

              output[global_idx] = value;
            }`}else{if(p)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let y=i.kernelShape.length,g=i.pads.length,_="";return u?_=`
                if (xIndices[j] >= uniforms.x_shape[j]) {
                  pad++;
                  isPad = true;
                  break;
                }
              }
              if (!isPad) {
                let x_val = x[${e.indicesToOffset("xIndices")}];
                ${a}
              }`:_=`
              }
              let x_val = x[${e.indicesToOffset("xIndices")}];
              ${a}
            `,`
            ${n.registerUniforms(l).declareVariables(e,m)}

            ${n.mainStart()}
              ${n.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
              let indices = ${m.offsetToIndices("global_idx")};
              var xIndices = ${m.offsetToIndices("global_idx")};

              var offsets: array<u32, ${y}>;

              var value = ${d}(${o});
              var pad = 0;
              var isPad = false;

              for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {
                var offset = i;
                for (var j = 0u; j < ${y-1}u; j++) {
                  offsets[j] = offset / ${Et("uniforms.kernelStrides","j",y)};
                  offset -= offsets[j] * ${Et("uniforms.kernelStrides","j",y)};
                }
                offsets[${y-1}] = offset;

                isPad = false;
                for (var j = ${t-y}u; j < ${t}u; j++) {
                  xIndices[j] = indices[j] * ${Et("uniforms.strides",`j - ${t-y}u`,y)}
                    + offsets[j - ${t-y}u] - ${Et("uniforms.pads","j - 2u",g)};
                  ${_}
              }
              ${s}

              output[global_idx] = value;
            }`}},Hu=n=>`${n.format};${n.ceilMode};${n.autoPad};${n.kernelShape.length}`,Zf=n=>`${Hu(n)};${n.countIncludePad}`,Qf=n=>`${Hu(n)};${n.storageOrder};${n.dilations}`,qu=n=>({format:n.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][n.auto_pad],ceilMode:n.ceil_mode,kernelShape:n.kernel_shape,strides:n.strides,pads:n.pads}),ju=(n,e,t,r)=>{let[i,a]=Gu(e,r,t),s=Te("x",e.dataType,e.dims.length),o=s.type.value,l="value += x_val;",u="";i.countIncludePad?u+=`value /= ${o}(uniforms.kernelSize);`:u+=`value /= ${o}(i32(uniforms.kernelSize) - pad);`;let[c,h,p,d,m]=Wu(a,i);c.push(...gt(e.dims,a));let y=["rank"];return{name:n,shaderCache:{hint:`${r.cacheKey};${p};${d};${m}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:a,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(Ee.size(a)/64)},programUniforms:c}),getShaderSource:g=>Vu(g,s,e.dims.length,a.length,i,l,u,0,h,p,d,m)}},Ev=n=>{let e=n.count_include_pad!==0,t=qu(n);if(t.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let r={countIncludePad:e,...t,cacheKey:""};return{...r,cacheKey:Zf(r)}},Mv=(n,e)=>{As(n.inputs),n.compute(ju("AveragePool",n.inputs[0],!1,e))},Xu={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},Tv=n=>{let e=n.format;return{format:e,...Xu,cacheKey:e}},Av=(n,e)=>{As(n.inputs),n.compute(ju("GlobalAveragePool",n.inputs[0],!0,e))},Yu=(n,e,t,r)=>{let[i,a]=Gu(e,r,t),s=`
      value = max(x_val, value);
    `,o="",l=Te("x",e.dataType,e.dims.length),u=["rank"],[c,h,p,d,m]=Wu(a,i);return c.push(...gt(e.dims,a)),{name:n,shaderCache:{hint:`${r.cacheKey};${p};${d};${m}`,inputDependencies:u},getRunData:()=>({outputs:[{dims:a,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(Ee.size(a)/64)},programUniforms:c}),getShaderSource:y=>Vu(y,l,e.dims.length,a.length,i,s,o,e.dataType===10?-65504:-1e5,h,p,d,m)}},Cv=(n,e)=>{As(n.inputs),n.compute(Yu("MaxPool",n.inputs[0],!1,e))},$v=n=>{let e=n.storage_order,t=n.dilations,r=qu(n);if(e!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(r.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:e,dilations:t,...r,cacheKey:""};return{...i,cacheKey:Qf(i)}},Rv=n=>{let e=n.format;return{format:e,...Xu,cacheKey:e}},Iv=(n,e)=>{As(n.inputs),n.compute(Yu("GlobalMaxPool",n.inputs[0],!0,e))}}),Jf,em,Pv,I2=Ce(()=>{Ur(),bt(),Ot(),Jf=(n,e,t)=>{let r=n===e,i=n<e&&t<0,a=n>e&&t>0;if(r||i||a)throw new Error("Range these inputs' contents are invalid.")},em=(n,e,t,r)=>{let i=Math.abs(Math.ceil((e-n)/t)),a=[i],s=i,o=[{type:12,data:s},{type:r,data:n},{type:r,data:t},...gt(a)],l=u=>{let c=ct("output",r,a.length),h=c.type.value,p=[{name:"outputSize",type:"u32"},{name:"start",type:h},{name:"delta",type:h}];return`
        ${u.registerUniforms(p).declareVariables(c)}
        ${u.mainStart()}
        ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        output[global_idx] = uniforms.start + ${h}(global_idx) * uniforms.delta;
      }`};return{name:"Range",shaderCache:{hint:`${r}`},getShaderSource:l,getRunData:()=>({outputs:[{dims:a,dataType:r}],dispatchGroup:{x:Math.ceil(s/64)},programUniforms:o})}},Pv=n=>{let e=0,t=0,r=0;n.inputs[0].dataType===6?(e=n.inputs[0].getInt32Array()[0],t=n.inputs[1].getInt32Array()[0],r=n.inputs[2].getInt32Array()[0]):n.inputs[0].dataType===1&&(e=n.inputs[0].getFloat32Array()[0],t=n.inputs[1].getFloat32Array()[0],r=n.inputs[2].getFloat32Array()[0]),Kt.webgpu.validateInputContent&&Jf(e,t,r),n.compute(em(e,t,r,n.inputs[0].dataType),{inputs:[]})}}),tm,nm,rm,im,am,sm,om,lm,um,cm,dm,Ku,hm,pm,fm,mm,gm,kv,Ov,P2=Ce(()=>{bt(),Dt(),Mn(),Ot(),tm=(n,e)=>{if(n.every(t=>t>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),n.length>0){if(e.mode==="linear"){if(!(n.length===2||n.length===3||n.length===4&&n[0]===1&&n[1]===1||n.length===4&&n[0]===1&&n[3]===1||n.length===5&&n[0]===1&&n[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(e.mode==="cubic"&&!(n.length===2||n.length===4&&n[0]===1&&n[1]===1||n.length===4&&n[0]===1&&n[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},nm=(n,e,t)=>{e.every(i=>i>=0&&i<t||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let r=new Array(t).fill(1);return e.forEach((i,a)=>r[i]=n[a]),r},rm=(n,e,t,r,i,a)=>{let[s,o,l]=t>10?[1,2,3]:[-1,n.length>1?1:-1,-1],u=n[0].dims.length;if(s>0&&n.length>s&&n[s].dims.length>0)n[s].getFloat32Array().forEach(c=>a.push(c));else if(e.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(o>0&&n.length>o&&n[o].dims.length>0){if(n[o].getFloat32Array().forEach(c=>r.push(c)),r.length!==0&&r.length!==u&&t>=18&&r.length!==e.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");tm(r,e),e.axes.length>0&&nm(r,e.axes,u).forEach((c,h)=>r[h]=c)}if(l>0&&n.length>l&&(n[l].getBigInt64Array().forEach(c=>i.push(Number(c))),i.length!==u||t>=18&&i.length===e.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(e.axes.length>0){if(r.length!==e.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(i.length!==e.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof r<"u"&&typeof i<"u"&&r.length>0&&i.length>u)throw new Error("Resize requires only of scales or sizes to be specified")},im=(n,e)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${e} { `+(()=>{switch(n){case"asymmetric":return`return ${e}(xResized) / ${e}(xScale);`;case"pytorch_half_pixel":return`if (lengthResized > 1) {
                    return (${e}(xResized) + 0.5) / ${e}(xScale) - 0.5;
                  } else {
                    return 0.0;
                  }`;case"tf_half_pixel_for_nn":return`return (${e}(xResized) + 0.5) / ${e}(xScale);`;case"align_corners":return`if (lengthResized == 1) {
                    return 0.0;
                  } else {
                    // 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 whole = ${e}(xResized * (lengthOriginal - 1) / (lengthResized - 1));
                    let fract =
                        ${e}(xResized * (lengthOriginal - 1) % (lengthResized - 1)) / ${e}(lengthResized - 1);
                    return whole + fract;
                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
                    return ${e}(roiStart) * ${e}(lengthOriginal - 1) +
                        (${e}(xResized) * ${e}(roiEnd - roiStart) * ${e}(lengthOriginal - 1)) /
                        ${e}(lengthResized - 1);
                  } else {
                    return 0.5 * ${e}(roiStart + roiEnd) * ${e}(lengthOriginal - 1);
                  }`;case"half_pixel_symmetric":return`const outputWidth = ${e}xScale * ${e}(lengthResized);
                  const adjustment = ${e}(lengthResized) / outputWidth;
                  const center = ${e}(lengthOriginal) / 2;
                  const offset = center * (1 - adjustment);
                  return offset + ((${e}(xResized) + 0.5) / ${e}(xScale)) - 0.5;`;case"half_pixel":return`return ((${e}(xResized) + 0.5) / ${e}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${n} is not supported`)}})()+"}",am=(n,e,t)=>`fn getNearestPixelFromOriginal(xOriginal: ${t}, isDownSample: bool) -> ${t} {`+(()=>{switch(n){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(e<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${n} is not supported`)}})()+"}",sm=(n,e,t)=>{let r=new Array(t).fill(0).concat(new Array(t).fill(1)),i=n.length===0?r:n.slice();return e.length>0?(e.forEach((a,s)=>{r[a]=i[s],r[s+t]=i[e.length+s]}),r):i},om=(n,e,t,r)=>{let i=[];if(t.length>0)if(r.length>0){if(n.forEach(a=>i.push(a)),Math.max(...r)>n.length)throw new Error("axes is out of bound");r.forEach((a,s)=>i[a]=t[s])}else t.forEach(a=>i.push(a));else{if(e.length===0)throw new Error("Resize requires either scales or sizes.");i=n.map((a,s)=>Math.round(a*e[s]))}return i},lm=(n,e,t)=>{let r=(()=>{switch(t.keepAspectRatioPolicy){case"not_larger":return t.axes.length>0?Math.min(...t.axes.map(a=>e[a]),Number.MAX_VALUE):Math.min(...e,Number.MAX_VALUE);case"not_smaller":return t.axes.length>0?Math.max(...t.axes.map(a=>e[a]),Number.MIN_VALUE):Math.max(...e,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${t.keepAspectRatioPolicy} is not supported`)}})();e.fill(1,0,e.length);let i=n.slice();return t.axes.length>0?(t.axes.forEach(a=>e[a]=r),t.axes.forEach(a=>i[a]=Math.round(n[a]*e[a]))):(e.fill(r,0,e.length),i.forEach((a,s)=>i[s]=Math.round(a*e[s]))),i},um=(n,e,t,r,i)=>`
    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${n.type.indices}) -> array<${n.type.value}, ${t.length}> {
      var original_indices: array<${n.type.value}, ${t.length}>;
      for (var i:u32 = 0; i < ${t.length}; i++) {
        var output_index = ${n.indicesGet("output_indices","i")};
        var scale = ${Et("uniforms.scales","i",r)};
        var roi_low = ${Et("uniforms.roi","i",i)};
        var roi_hi = ${Et("uniforms.roi",`i + ${e.length}`,i)};
        if (scale == 1.0) {
          original_indices[i] = ${n.type.value}(output_index);
        } else {
          var input_shape_i = ${Et("uniforms.input_shape","i",e.length)};
          var output_shape_i = ${Et("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;
    }`,cm=(n,e,t,r,i,a,s)=>`
    fn calculateInputIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> ${n.type.indices} {
      var input_indices: ${n.type.indices};
      for (var i:u32 = 0; i < ${r.length}; i++) {
        var output_index = ${e.indicesGet("output_indices","i")};
        var input_index: u32;
        var scale = ${Et("uniforms.scales","i",i)};
        if (scale == 1.0) {
          input_index = output_index;
        } else {
          var roi_low = ${Et("uniforms.roi","i",a)};
          var roi_hi = ${Et("uniforms.roi",`i + ${t.length}`,a)};
          var input_shape_i = ${Et("uniforms.input_shape","i",t.length)};
          var output_shape_i = ${Et("uniforms.output_shape","i",r.length)};
          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                        input_shape_i, roi_low, roi_hi);
          if (!${s} || (original_idx >= 0 && original_idx < ${e.type.value}(input_shape_i))) {
            if (original_idx < 0) {
              input_index = 0;
            } else if (original_idx > ${e.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);
          }
        }
        ${n.indicesSet("input_indices","i"," input_index")}
      }
      return input_indices;
    }`,dm=(n,e)=>`
    fn checkInputIndices(input_indices: ${n.type.indices}) -> bool {
      for (var i:u32 = 0; i < ${e.length}; i++) {
        var input_index = ${n.indicesGet("input_indices","i")};
        if (input_index < 0 || input_index >= ${Et("uniforms.input_shape","i",e.length)}) {
          return false;
        }
      }
      return true;
    }`,Ku=(n,e,t,r)=>n.rank>r?`
    ${n.indicesSet("input_indices",e,"channel")};
    ${n.indicesSet("input_indices",t,"batch")};
`:"",hm=(n,e,t,r,i)=>{let[a,s,o,l]=t.length===2?[-1,0,1,-1]:[0,2,3,1],u=n.type.value;return`
    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${u} {
      var input_indices: ${n.type.indices};
      ${n.indicesSet("input_indices",s,`max(0, min(row, ${t[s]} - 1))`)};
      ${n.indicesSet("input_indices",o,`max(0, min(col, ${t[o]} - 1))`)};
      ${Ku(n,l,a,2)}
      return ${n.getByIndices("input_indices")};
    }

    fn bilinearInterpolation(output_indices: ${e.type.indices}) -> ${u} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var row:${u} = originalIndices[${s}];
      var col:${u} = originalIndices[${o}];
      ${r?`if (row < 0 || row > (${t[s]} - 1) || col < 0 || col > (${t[o]} - 1)) {
        return ${i};
      }`:""};
      row = max(0, min(row, ${t[s]} - 1));
      col = max(0, min(col, ${t[o]} - 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 =  ${t.length>2?`u32(originalIndices[${a}])`:"0"};
      var x11: ${u} = getInputValue(batch, channel, row1, col1);
      var x12: ${u} = getInputValue(batch, channel, row1, col2);
      var x21: ${u} = getInputValue(batch, channel, row2, col1);
      var x22: ${u} = getInputValue(batch, channel, row2, col2);
      var dx1: ${u} = abs(row - ${u}(row1));
      var dx2: ${u} = abs(${u}(row2) - row);
      var dy1: ${u} = abs(col - ${u}(col1));
      var dy2: ${u} = abs(${u}(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);
    }`},pm=(n,e,t,r,i,a,s,o,l,u)=>{let c=t.length===2,[h,p]=c?[0,1]:[2,3],d=n.type.value,m=y=>{let g=y===h?"row":"col";return`
      fn ${g}CubicInterpolation(input_indices: ${n.type.indices}, output_indices: ${e.type.indices}) -> ${d} {
        var output_index = ${e.indicesGet("output_indices",y)};
        var originalIdx: ${d} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[y]},
        ${r[y]}, ${t[y]}, ${a[y]}, ${a[y]} + ${t.length});
        var fractOriginalIdx: ${d} = originalIdx - floor(originalIdx);
        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);

        if (${o} && (originalIdx < 0 || originalIdx > (${t[y]} - 1))) {
          return ${l};
        }
        var data: array<${d}, 4> = array<${d}, 4>(0.0, 0.0, 0.0, 0.0);
        for (var i: i32 = -1; i < 3; i++) {
          var ${g}: ${d} = originalIdx + ${d}(i);
          if (${g} < 0 || ${g} >= ${t[y]}) {
            ${u?`coefs[i + 1] = 0.0;
                        continue;`:o?`return ${l};`:`${g} = max(0, min(${g}, ${t[y]} - 1));`};
          }
        var input_indices_copy: ${n.type.indices} = input_indices;
          ${n.indicesSet("input_indices_copy",y,`u32(${g})`)};
          data[i + 1] = ${y===h?n.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
        }
        return cubicInterpolation1D(data, coefs);
      }`};return`
    ${m(h)};
    ${m(p)};
  fn getCubicInterpolationCoefs(s: ${d}) -> array<${d}, 4> {
    var absS = abs(s);
    var coeffs: array<${d}, 4> = array<${d}, 4>(0.0, 0.0, 0.0, 0.0);
    var oneMinusAbsS: ${d} = 1.0 - absS;
    var twoMinusAbsS: ${d} = 2.0 - absS;
    var onePlusAbsS: ${d} = 1.0 + absS;
    coeffs[0] = ((${s} * onePlusAbsS - 5 * ${s}) * onePlusAbsS + 8 * ${s}) * onePlusAbsS - 4 * ${s};
    coeffs[1] = ((${s} + 2) * absS - (${s} + 3)) * absS * absS + 1;
    coeffs[2] = ((${s} + 2) * oneMinusAbsS - (${s} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
    coeffs[3] = ((${s} * twoMinusAbsS - 5 * ${s}) * twoMinusAbsS + 8 * ${s}) * twoMinusAbsS - 4 * ${s};
    return coeffs;
  }

  fn cubicInterpolation1D(x: array<${d}, 4>, coefs: array<${d}, 4>) -> ${d} {
    var coefsSum: ${d} = 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: ${e.type.indices}) -> ${d} {
    var input_indices: ${n.type.indices} = output_indices;
    return colCubicInterpolation(input_indices, output_indices);
  }
    `},fm=(n,e,t,r,i)=>{let[a,s,o,l,u]=t.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],c=n.type.value;return`
    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${c} {
      var input_indices: ${n.type.indices};
      ${n.indicesSet("input_indices",s,`max(0, min(depth, ${t[s]} - 1))`)};
      ${n.indicesSet("input_indices",o,`max(0, min(height, ${t[o]} - 1))`)};
      ${n.indicesSet("input_indices",l,`max(0, min(width, ${t[l]} - 1))`)};
      ${Ku(n,u,a,3)}
      return ${n.getByIndices("input_indices")};
    }

    fn trilinearInterpolation(output_indices: ${e.type.indices}) -> ${c} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var depth:${c} = originalIndices[${s}];
      var height:${c} = originalIndices[${o}];
      var width:${c} = originalIndices[${l}];
      ${r?`if (depth < 0 || depth > (${t[s]} - 1) || height < 0 || height > (${t[o]} - 1) || width < 0 || (width > ${t[l]} - 1)) {
      return ${i};
        }`:""};

    depth = max(0, min(depth, ${t[s]} - 1));
      height = max(0, min(height, ${t[o]} - 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 = ${t.length>3?`u32(originalIndices[${u}])`:"0"};
      var batch: u32 =  ${t.length>3?`u32(originalIndices[${a}])`:"0"};

      var x111: ${c} = getInputValue(batch, channel, depth1, height1, width1);
      var x112: ${c} = getInputValue(batch, channel, depth1, height1, width2);
      var x121: ${c} = getInputValue(batch, channel, depth1, height2, width1);
      var x122: ${c} = getInputValue(batch, channel, depth1, height2, width2);
      var x211: ${c} = getInputValue(batch, channel, depth2, height1, width1);
      var x212: ${c} = getInputValue(batch, channel, depth2, height1, width2);
      var x221: ${c} = getInputValue(batch, channel, depth2, height2, width1);
      var x222: ${c} = getInputValue(batch, channel, depth2, height2, width2);
      var dx1: ${c} = abs(depth - ${c}(depth1));
      var dx2: ${c} = abs(${c}(depth2) - depth);
      var dy1: ${c} = abs(height - ${c}(height1));
      var dy2: ${c} = abs(${c}(height2) - height);
      var dz1: ${c} = abs(width - ${c}(width1));
      var dz2: ${c} = abs(${c}(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);
    }`},mm=(n,e,t,r,i,a)=>{let s=n.dims,o=sm(a,e.axes,s.length),l=om(s,r,i,e.axes),u=r.slice();r.length===0&&(u=s.map((w,b)=>w===0?1:l[b]/w),e.keepAspectRatioPolicy!=="stretch"&&(l=lm(s,u,e)));let c=ct("output",n.dataType,l.length),h=Te("input",n.dataType,s.length),p=Ee.size(l),d=s.length===l.length&&s.every((w,b)=>w===l[b]),m=e.coordinateTransformMode==="tf_crop_and_resize",y=e.extrapolationValue,g=h.type.value,_=w=>`
      ${d?"":`
      ${im(e.coordinateTransformMode,g)};
      ${(()=>{switch(e.mode){case"nearest":return`
              ${dm(h,s)};
              ${am(e.nearestMode,t,g)};
              ${cm(h,c,s,l,u.length,o.length,m)};
              `;case"linear":return`
              ${um(c,s,l,u.length,o.length)};
              ${(()=>{if(s.length===2||s.length===4)return`${hm(h,c,s,m,y)}`;if(s.length===3||s.length===5)return`${fm(h,c,s,m,y)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
            `;case"cubic":return`
            ${(()=>{if(s.length===2||s.length===4)return`${pm(h,c,s,l,u,o,e.cubicCoeffA,m,e.extrapolationValue,e.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
            `;default:throw Error("Invalid resize mode")}})()};
      `}
      ${w.registerUniform("output_size","u32").registerUniform("scales","f32",u.length).registerUniform("roi","f32",o.length).declareVariables(h,c)}
      ${w.mainStart()}
        ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
        ${d?"output[global_idx] = input[global_idx];":`
        let output_indices = ${c.offsetToIndices("global_idx")};
        var input_indices: ${h.type.indices};
        ${(()=>{switch(e.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
                if (checkInputIndices(input_indices)) {
                  output[global_idx] = ${h.getByIndices("input_indices")};
                } else {
                  output[global_idx] = ${e.extrapolationValue};
                }`;case"linear":return`output[global_idx] = ${s.length===2||s.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${e.mode}`)}})()};
`}
      }`;return{name:"Resize",shaderCache:{hint:`${e.cacheKey}|${t}|${u.length>0?u:""}|${i.length>0?i:""}|${o.length>0?o:""}|${d}|${s}`,inputDependencies:["rank"]},getShaderSource:_,getRunData:()=>({outputs:[{dims:l,dataType:n.dataType}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:[{type:12,data:p},{type:1,data:u},{type:1,data:o},...gt(s,l)]})}},gm=n=>{let e=n.customDataBuffer;return new Uint32Array(e,e.byteOffset,1)[0]},kv=(n,e)=>{let t=[],r=[],i=[],a=gm(n);if(e.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");rm(n.inputs,e,a,t,r,i),n.compute(mm(n.inputs[0],e,a,t,r,i),{inputs:[0]})},Ov=n=>{let e=n.antialias,t=n.axes,r=n.coordinateTransformMode,i=n.cubicCoeffA,a=n.excludeOutside!==0,s=n.extrapolationValue,o=n.keepAspectRatioPolicy,l=n.mode,u=n.nearestMode===""?"simple":n.nearestMode;return sn({antialias:e,axes:t,coordinateTransformMode:r,cubicCoeffA:i,excludeOutside:a,extrapolationValue:s,keepAspectRatioPolicy:o,mode:l,nearestMode:u})}}),_m,ym,Dv,k2=Ce(()=>{bt(),Dt(),Mn(),Ot(),_m=(n,e)=>{let[t,r,i,a]=n,{numHeads:s,rotaryEmbeddingDim:o}=e;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(!Ee.areEqual(r.dims,[])&&!Ee.areEqual(r.dims,[1])&&r.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${r.dims.length}`);if(i.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${i.dims.length}`);if(a.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${a.dims.length}`);if(!Ee.areEqual(i.dims,a.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(o>0&&s===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let l=t.dims[0],u=t.dims[t.dims.length-2],c=i.dims[0],h=Ee.sizeFromDimension(t.dims,1)/u,p=o===0?i.dims[1]*2:h/s;if(o>p)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(r.dims.length===2){if(l!==r.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${r.dims[0]}`);if(u!==r.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${r.dims[1]}`)}if(p/2!==i.dims[1]&&o/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(u>c)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},ym=(n,e)=>{let{interleaved:t,numHeads:r,rotaryEmbeddingDim:i,scale:a}=e,s=n[0].dims[0],o=Ee.sizeFromDimension(n[0].dims,1),l=n[0].dims[n[0].dims.length-2],u=o/l,c=n[2].dims[1],h=i===0?c*2:u/r,p=new Array(s,l,u/h,h-c),d=Ee.computeStrides(p),m=[{type:1,data:a},{type:12,data:p},{type:12,data:d},...n[0].dims.length===3?new Array({type:12,data:[o,u,h,1]}):[],...n[0].dims.length===4?new Array({type:12,data:[o,h,l*h,1]}):[],...gt(n[0].dims,n[1].dims,n[2].dims,n[3].dims,n[0].dims)],y=g=>{let _=Te("input",n[0].dataType,n[0].dims.length),w=Te("position_ids",n[1].dataType,n[1].dims.length),b=Te("cos_cache",n[2].dataType,n[2].dims.length),E=Te("sin_cache",n[3].dataType,n[3].dims.length),T=ct("output",n[0].dataType,n[0].dims.length);return g.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:p.length},{name:"global_strides",type:"u32",length:d.length},{name:"input_output_strides",type:"u32",length:d.length}]),`
        ${g.declareVariables(_,w,b,E,T)}

        ${g.mainStart(ls)}
          let half_rotary_emb_dim = uniforms.${b.name}_shape[1];
          let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;
          let size = uniforms.global_shape[0] * uniforms.global_strides[0];
          ${g.guardAgainstOutOfBoundsWorkgroupSizes("size")}

          if (bsnh[3] < half_rotary_emb_dim) {
            let position_ids_idx =
                ${w.broadcastedIndicesToOffset("bsnh.xy",ct("",w.type.tensor,2))};
            let position_id =
                u32(${w.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 = ${_.getByOffset("i")} * ${b.get("position_id","bsnh[3]")} -
                ${_.getByOffset("j")} * ${E.get("position_id","bsnh[3]")};
            ${T.setByOffset("i","re")}
            let im = ${_.getByOffset("i")} * ${E.get("position_id","bsnh[3]")} +
                ${_.getByOffset("j")} * ${b.get("position_id","bsnh[3]")};
            ${T.setByOffset("j","im")}
          } else {
            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
            ${T.setByOffset("k",_.getByOffset("k"))}
          }
        }`};return{name:"RotaryEmbedding",shaderCache:{hint:sn({interleaved:t}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:y,getRunData:()=>({outputs:[{dims:n[0].dims,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(Ee.size(p)/ls)},programUniforms:m})}},Dv=(n,e)=>{_m(n.inputs,e),n.compute(ym(n.inputs,e))}}),vm,wm,Lv,O2=Ce(()=>{bt(),Dt(),Ot(),vm=n=>{if(!n||n.length<3)throw new Error("layerNorm requires at least 3 inputs.");let e=n[0],t=n[1],r=n[2];if(e.dataType!==t.dataType||e.dataType!==r.dataType)throw new Error("All inputs must have the same data type");if(e.dims.length!==3&&e.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=e.dims[e.dims.length-1],a=e.dims[e.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]!==a)throw new Error("Skip must have the same sequence length as input");if(r.dims.length!==1)throw new Error("Gamma must be 1D");if(r.dims[r.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(n.length>3){let s=n[3];if(s.dims.length!==1)throw new Error("Beta must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(n.length>4){let s=n[4];if(s.dims.length!==1)throw new Error("Bias must be 1D");if(s.dims[s.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},wm=(n,e,t,r)=>{let i=e.simplified,a=n[0].dims,s=Ee.size(a),o=a,l=s,u=a.slice(-1)[0],c=r?a.slice(0,-1).concat(1):[],h=!i&&n.length>3,p=n.length>4,d=r&&t>1,m=r&&t>2,y=t>3,g=vn(u),_=[{type:12,data:l},{type:12,data:g},{type:12,data:u},{type:1,data:e.epsilon}],w=E=>{let T=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],I=[Te("x",n[0].dataType,n[0].dims,g),Te("skip",n[1].dataType,n[1].dims,g),Te("gamma",n[2].dataType,n[2].dims,g)];h&&I.push(Te("beta",n[3].dataType,n[3].dims,g)),p&&I.push(Te("bias",n[4].dataType,n[4].dims,g)),I.push(ct("output",n[0].dataType,o,g)),d&&I.push(ct("mean_output",1,c)),m&&I.push(ct("inv_std_output",1,c)),y&&I.push(ct("input_skip_bias_sum",n[0].dataType,o,g));let C=Rn(n[0].dataType);return`

      ${E.registerUniforms(T).declareVariables(...I)}

      ${E.mainStart()}
        ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size / uniforms.hidden_size")}
        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
        let offset = global_idx * hidden_size_vectorized;
        var sum = ${ui("f32",g)};
        var squareSum = ${ui("f32",g)};
        for (var i: u32 = 0; i < hidden_size_vectorized; i++) {
          let skip_value = skip[offset + i];
          let bias_value = ${p?"bias[i]":C+"(0.0)"};
          let input_value = x[offset + i];
          let value = input_value + skip_value + bias_value;
          ${y?"input_skip_bias_sum[offset + i] = value;":""}
          output[offset + i] = value;
          let f32_value = ${es(C,g,"value")};
          sum += f32_value;
          squareSum += f32_value * f32_value;
        }
        let mean = ${zi("sum",g)} / f32(uniforms.hidden_size);
        let inv_std_dev = inverseSqrt(${zi("squareSum",g)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon);
        ${d?"mean_output[global_idx] = mean;":""}
        ${m?"inv_std_output[global_idx] = inv_std_dev;":""}
        for (var i: u32 = 0; i < hidden_size_vectorized; i++) {
          output[offset + i] = (output[offset + i] ${i?"":`- ${C}(mean)`}) * ${C}(inv_std_dev) * gamma[i] ${h?"+ beta[i]":""};
        }
      }`},b=[{dims:o,dataType:n[0].dataType}];return t>1&&b.push({dims:c,dataType:1}),t>2&&b.push({dims:c,dataType:1}),t>3&&b.push({dims:a,dataType:n[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${g};${d};${m};${y}`,inputDependencies:n.map((E,T)=>"type")},getShaderSource:w,getRunData:()=>({outputs:b,dispatchGroup:{x:Math.ceil(l/u/64)},programUniforms:_})}},Lv=(n,e)=>{vm(n.inputs);let t=[0];n.outputCount>1&&t.push(-3),n.outputCount>2&&t.push(-3),n.outputCount>3&&t.push(3),n.compute(wm(n.inputs,e,n.outputCount,!1),{outputs:t})}}),bm,Cs,xm,Zu,Sm,Em,zv,Nv,D2=Ce(()=>{bt(),Dt(),Mn(),Ot(),bm=(n,e)=>{if(!n||n.length<1)throw new Error("too few inputs");if(e.axes.length!==0){if(e.axes.length!==e.starts.length||e.axes.length!==e.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(e.starts.length!==e.ends.length)throw new Error("starts and ends must have the same length");n.slice(1).forEach((t,r)=>{if(n[r+1].dataType!==6&&n[r+1].dataType!==7)throw new Error(`Input ${r} must be an array of int32 or int64`)})},Cs=(n,e)=>{let t=[];if(n.length>e)if(n[e].dataType===7)n[e].getBigInt64Array().forEach(r=>t.push(Number(r)));else if(n[e].dataType===6)n[e].getInt32Array().forEach(r=>t.push(Number(r)));else throw new Error(`Input ${e} must be an array of int32 or int64`);return t},xm=(n,e)=>{if(n.length>1){let t=Cs(n,1),r=Cs(n,2),i=Cs(n,3);return i.length===0&&(i=[...Array(n[0].dims.length).keys()]),sn({starts:t,ends:r,axes:i})}else return e},Zu=(n,e,t,r,i)=>{let a=n;return n<0&&(a+=t[r[e]]),i[e]<0?Math.max(0,Math.min(a,t[r[e]]-1)):Math.max(0,Math.min(a,t[r[e]]))},Sm=(n,e,t)=>`fn calculateInputIndices(output_indices: ${e.type.indices}) -> ${n.type.indices} {
          var input_indices: ${n.type.indices};
          var carry = 0u;
          for (var i = ${t.length}; i >= 0; i--) {
            let input_shape_i = ${Et("uniforms.input_shape","i",t.length)};
            let steps_i = ${Et("uniforms.steps","i",t.length)};
            let signs_i = ${Et("uniforms.signs","i",t.length)};
            let starts_i = ${Et("uniforms.starts","i",t.length)};
            var output_index = ${e.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;
            }
            ${n.indicesSet("input_indices","i","input_index")};
          }
          return input_indices;
      }`,Em=(n,e)=>{let t=n[0].dims,r=Ee.size(t),i=e.axes.length>0?Ee.normalizeAxes(e.axes,t.length):[...Array(t.length).keys()],a=Cs(n,4);a.forEach(_=>_!==0||(()=>{throw new Error("step cannot be 0")})),a.length===0&&(a=Array(i.length).fill(1));let s=e.starts.map((_,w)=>Zu(_,w,t,i,a)),o=e.ends.map((_,w)=>Zu(_,w,t,i,a));if(i.length!==s.length||i.length!==o.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==t.length)for(let _=0;_<t.length;++_)i.includes(_)||(s.splice(_,0,0),o.splice(_,0,t[_]),a.splice(_,0,1));let l=a.map(_=>Math.sign(_));a.forEach((_,w,b)=>{if(_<0){let E=(o[w]-s[w])/_,T=s[w],I=T+E*a[w];s[w]=I,o[w]=T,b[w]=-_}});let u=t.slice(0);i.forEach((_,w)=>{u[_]=Math.ceil((o[_]-s[_])/a[_])});let c={dims:u,dataType:n[0].dataType},h=ct("output",n[0].dataType,u.length),p=Te("input",n[0].dataType,n[0].dims.length),d=Ee.size(u),m=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:s.length},{name:"signs",type:"i32",length:l.length},{name:"steps",type:"u32",length:a.length}],y=[{type:12,data:d},{type:12,data:s},{type:6,data:l},{type:12,data:a},...gt(n[0].dims,u)],g=_=>`
      ${_.registerUniforms(m).declareVariables(p,h)}
        ${Sm(p,h,t)}
        ${_.mainStart()}
          ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
          let output_indices = ${h.offsetToIndices("global_idx")};
          let input_indices = calculateInputIndices(output_indices);
          ${h.setByOffset("global_idx",p.getByIndices("input_indices"))}
      }`;return{name:"Slice",shaderCache:{hint:`${l.length}_${s.length}_${a.length}`,inputDependencies:["rank"]},getShaderSource:g,getRunData:()=>({outputs:[c],dispatchGroup:{x:Math.ceil(r/64)},programUniforms:y})}},zv=(n,e)=>{bm(n.inputs,e);let t=xm(n.inputs,e);n.compute(Em(n.inputs,t),{inputs:[0]})},Nv=n=>{let e=n.starts,t=n.ends,r=n.axes;return sn({starts:e,ends:t,axes:r})}}),Mm,Tm,Uv,Bv,L2=Ce(()=>{bt(),Dt(),Mn(),Ot(),Mm=n=>{if(!n||n.length!==1)throw new Error("Softmax op requires 1 input.")},Tm=(n,e)=>{let t=n.dims,r=Ee.size(t),i=64,a=e.axis;if(a<0&&(a=t.length+a),a<t.length-1)throw new Error("softmax only supports last axis for now.");let s=t[a],o=r/s,l=vn(s),u=s/l,c=(g,_)=>_===4?`max(max(${g}.x, ${g}.y), max(${g}.z, ${g}.w))`:_===2?`max(${g}.x, ${g}.y)`:_===3?`max(max(${g}.x, ${g}.y), ${g}.z)`:g,h=Te("x",n.dataType,n.dims,l),p=ct("result",n.dataType,n.dims,l),d=h.type.value,m=Rn(n.dataType)==="f32"?`var threadMax = ${d}(-3.402823e+38f);`:`var threadMax = ${d}(-65504.0h);`,y=g=>`
      var<workgroup> rowMaxShared : ${d};
      var<workgroup> rowSumShared : ${d};
      var<workgroup> threadShared : array<${d}, ${i}>;

      fn getValue(row: i32, col: i32, row_stride: i32) -> ${d} {
        let index = row * row_stride + col;
        return x[index];
      }

      fn setValue(row: i32, col: i32, row_stride: i32, value: ${d}) {
        let index = row * row_stride + col;
        result[index] = value;
      }
      ${g.registerUniform("packedCols","i32").declareVariables(h,p)}
      ${g.mainStart()}
        let gindex = i32(global_idx);
        let lindex = i32(local_idx);
        const wg = ${i};
        let row = gindex / wg;
        let cols = uniforms.packedCols;
        let row_stride : i32 = uniforms.packedCols;

        // find the rows max
        ${m}
        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 = ${d}(${c("threadShared[0]",l)});
        }
        workgroupBarrier();

        // find the rows sum
        var threadSum = ${d}(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 = ${d}(${zi("threadShared[0]",l)});
        }
        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);
        }
      }`;return{name:"Softmax",shaderCache:{hint:`${l}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:t,dataType:n.dataType}],dispatchGroup:{x:o},programUniforms:[{type:6,data:u}]}),getShaderSource:y}},Uv=(n,e)=>{Mm(n.inputs),n.compute(Tm(n.inputs[0],e))},Bv=n=>sn({axis:n.axis})}),Am,Cm,$m,Rm,Im,Fv,Gv,z2=Ce(()=>{bt(),Dt(),Mn(),Ot(),Am=n=>{if(!n||n.length<1)throw new Error("too few inputs")},Cm=(n,e)=>{let t=[],r=e.numOutputs;return n[1].dims[0]>0&&(n[1].getBigInt64Array().forEach(i=>t.push(Number(i))),r=t.length),sn({numOutputs:r,axis:e.axis,splitSizes:t})},$m=n=>`
fn calculateOutputIndex(index: u32) -> u32 {
    for (var i: u32 = 0u; i < ${n}u; i += 1u ) {
    if (index < ${Et("uniforms.size_in_split_axis","i",n)}) {
        return i;
    }
    }
    return ${n}u;
}`,Rm=n=>{let e=n.length,t=[];for(let r=0;r<e;++r){let i=n[r].setByIndices("indices","input[global_idx]");e===1?t.push(i):r===0?t.push(`if (output_number == ${r}u) { ${i} }`):r===e-1?t.push(`else { ${i} }`):t.push(`else if (output_number == ${r}) { ${i} }`)}return`
      fn writeBufferData(output_number: u32, indices: ${n[0].type.indices}, global_idx: u32) {
        ${t.join(`
`)}
      }`},Im=(n,e)=>{let t=n[0].dims,r=Ee.size(t),i=n[0].dataType,a=Ee.normalizeAxis(e.axis,t.length),s=new Array(e.numOutputs),o=Te("input",i,t.length),l=new Array(e.numOutputs),u=[],c=[],h=0,p=[{type:12,data:r}];for(let m=0;m<e.numOutputs;m++){h+=e.splitSizes[m],l[m]=h;let y=t.slice();y[e.axis]=e.splitSizes[m],c.push(y),s[m]=ct(`output${m}`,i,y.length),u.push({dims:c[m],dataType:n[0].dataType})}p.push({type:12,data:l},...gt(t,...c));let d=m=>`
  ${m.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",l.length).declareVariables(o,...s)}
  ${$m(l.length)}
  ${Rm(s)}

  ${m.mainStart()}
    ${m.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.input_size")}

    var indices = ${o.offsetToIndices("global_idx")};
    var index = ${o.indicesGet("indices",a)};
    let output_number = calculateOutputIndex(index);
    if (output_number != 0) {
      index -= ${Et("uniforms.size_in_split_axis","output_number - 1u",l.length)};
      ${o.indicesSet("indices",a,"index")};
    }
    writeBufferData(output_number, indices, global_idx);
  }`;return{name:"Split",shaderCache:{hint:e.cacheKey,inputDependencies:["rank"]},getShaderSource:d,getRunData:()=>({outputs:u,dispatchGroup:{x:Math.ceil(r/64)},programUniforms:p})}},Fv=(n,e)=>{Am(n.inputs);let t=n.inputs.length===1?e:Cm(n.inputs,e);n.compute(Im(n.inputs,t),{inputs:[0]})},Gv=n=>{let e=n.axis,t=n.splitSizes,r=n.numOutputs<0?t.length:n.numOutputs;if(r!==t.length)throw new Error("numOutputs and splitSizes lengh must be equal");return sn({axis:e,numOutputs:r,splitSizes:t})}}),Qu,Pm,km,Om,Wv,N2=Ce(()=>{bt(),Dt(),Ot(),Qu=n=>Array.from(n.getBigInt64Array(),Number),Pm=n=>{if(!n||n.length!==2)throw new Error("Tile requires 2 inputs.");if(n[0].dataType!==1&&n[0].dataType!==6&&n[0].dataType!==12)throw new Error("Tile only support float, int32, and uint32 data types");if(n[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(n[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Qu(n[1]).length!==n[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},km=(n,e)=>{let t=[];for(let r=0;r<n.length;++r)t.push(n[r]*e[r]);return t},Om=n=>{let e=n[0].dims,t=Qu(n[1]),r=km(e,t),i=Ee.size(r),a=n[0].dataType,s=Te("input",a,e.length),o=ct("output",a,r.length),l=u=>`
      const inputShape = ${s.indices(...e)};
      ${u.registerUniform("output_size","u32").declareVariables(s,o)}
      ${u.mainStart()}
      ${u.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let output_indices = ${o.offsetToIndices("global_idx")};
      var input_indices: ${s.type.indices};
      for (var i = 0; i < ${e.length}; i++) {
        let input_dim_i = ${s.indicesGet("uniforms.input_shape","i")};
        let input_dim_value = ${o.indicesGet("output_indices","i")}  % input_dim_i;

        ${s.indicesSet("input_indices","i","input_dim_value")}
      }
      ${o.setByOffset("global_idx",s.getByIndices("input_indices"))}
    }`;return{name:"Tile",shaderCache:{hint:`${t}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:r,dataType:n[0].dataType}],dispatchGroup:{x:Math.ceil(i/64)},programUniforms:[{type:12,data:i},...gt(n[0].dims,r)]}),getShaderSource:l}},Wv=n=>{Pm(n.inputs),n.compute(Om(n.inputs),{inputs:[0]})}}),Dm,Lm,Vv,U2=Ce(()=>{bt(),Dt(),Ot(),Dm=(n,e,t,r,i)=>{let a=ct("output_data",i,t.length,4),s=Te("a_data",e[1].dataType,e[1].dims.length,4),o=Te("b_data",e[2].dataType,e[2].dims.length,4),l=Te("c_data",e[0].dataType,e[0].dims.length,4),u,c=(h,p,d)=>`select(${p}, ${h}, ${d})`;if(!r)u=a.setByOffset("global_idx",c(s.getByOffset("global_idx"),o.getByOffset("global_idx"),l.getByOffset("global_idx")));else{let h=(p,d,m="")=>{let y=`a_data[index_a${d}][component_a${d}]`,g=`b_data[index_b${d}][component_b${d}]`,_=`bool(c_data[index_c${d}] & (0xffu << (component_c${d} * 8)))`;return`
            let output_indices${d} = ${a.offsetToIndices(`global_idx * 4u + ${d}u`)};
            let offset_a${d} = ${s.broadcastedIndicesToOffset(`output_indices${d}`,a)};
            let offset_b${d} = ${o.broadcastedIndicesToOffset(`output_indices${d}`,a)};
            let offset_c${d} = ${l.broadcastedIndicesToOffset(`output_indices${d}`,a)};
            let index_a${d} = offset_a${d} / 4u;
            let index_b${d} = offset_b${d} / 4u;
            let index_c${d} = offset_c${d} / 4u;
            let component_a${d} = offset_a${d} % 4u;
            let component_b${d} = offset_b${d} % 4u;
            let component_c${d} = offset_c${d} % 4u;
            ${p}[${d}] = ${m}(${c(y,g,_)});
          `};i===9?u=`
            var data = vec4<u32>(0);
            ${h("data",0,"u32")}
            ${h("data",1,"u32")}
            ${h("data",2,"u32")}
            ${h("data",3,"u32")}
            output_data[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:u=`
            ${h("output_data[global_idx]",0)}
            ${h("output_data[global_idx]",1)}
            ${h("output_data[global_idx]",2)}
            ${h("output_data[global_idx]",3)}
          `}return`
        ${n.registerUniform("vec_size","u32").declareVariables(l,s,o,a)}
        ${n.mainStart()}
        ${n.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${u}
      }`},Lm=n=>{let e=n[1].dims,t=n[2].dims,r=n[0].dims,i=n[1].dataType,a=!(Ee.areEqual(e,t)&&Ee.areEqual(t,r)),s=e,o=Ee.size(e);if(a){let u=os.calcShape(os.calcShape(e,t,!1),r,!1);if(!u)throw new Error("Can't perform where op on the given tensors");s=u,o=Ee.size(s)}let l=Math.ceil(o/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:u=>Dm(u,n,s,a,i),getRunData:()=>({outputs:[{dims:s,dataType:i}],dispatchGroup:{x:Math.ceil(o/64/4)},programUniforms:[{type:12,data:l},...gt(r,e,t,s)]})}},Vv=n=>{n.compute(Lm(n.inputs))}}),Hv,B2=Ce(()=>{o2(),ey(),l2(),u2(),c2(),d2(),Q0(),Jy(),g2(),_2(),y2(),v2(),w2(),b2(),x2(),S2(),E2(),M2(),T2(),Qy(),A2(),C2(),$2(),R2(),I2(),Ad(),P2(),k2(),O2(),D2(),L2(),z2(),N2(),so(),Cd(),U2(),Hv=new Map([["Abs",[ry]],["Acos",[iy]],["Acosh",[ay]],["Add",[Ny]],["ArgMax",[Y0,Wc]],["ArgMin",[X0,Wc]],["Asin",[sy]],["Asinh",[oy]],["Atan",[ly]],["Atanh",[uy]],["Attention",[J0]],["AveragePool",[Mv,Ev]],["BatchNormalization",[ty]],["BiasAdd",[ny]],["BiasSplitGelu",[zy]],["Cast",[dy,cy]],["Ceil",[py]],["Clip",[hy]],["Concat",[K0,Z0]],["Conv",[Yc,Xc]],["ConvTranspose",[nv,tv]],["Cos",[fy]],["Cosh",[my]],["CumSum",[rv,iv]],["DepthToSpace",[av,sv]],["Div",[Uy]],["Einsum",[ov,lv]],["Elu",[gy,xl]],["Equal",[By]],["Erf",[_y]],["Exp",[yy]],["Expand",[uv]],["FastGelu",[cv]],["Floor",[vy]],["FusedConv",[Yc,Xc]],["Gather",[hv,dv]],["GatherElements",[fv,pv]],["Gelu",[wy]],["Gemm",[gv,mv]],["GlobalAveragePool",[Av,Tv]],["GlobalMaxPool",[Iv,Rv]],["Greater",[Vy]],["GreaterOrEqual",[qy]],["HardSigmoid",[Cy,Ay]],["InstanceNormalization",[_v]],["LayerNormalization",[yv]],["LeakyRelu",[by,xl]],["Less",[Hy]],["LessOrEqual",[jy]],["Log",[Ly]],["MatMul",[Zy]],["MatMulNBits",[vv,wv]],["MaxPool",[Cv,$v]],["Mul",[Fy]],["MultiHeadAttention",[xv,bv]],["Neg",[Sy]],["Not",[xy]],["Pad",[Sv]],["Pow",[Gy]],["Range",[Pv]],["Reciprocal",[Ey]],["ReduceMin",[W0]],["ReduceMean",[N0]],["ReduceMax",[G0]],["ReduceSum",[H0]],["ReduceProd",[V0]],["ReduceL1",[U0]],["ReduceL2",[B0]],["ReduceLogSum",[j0]],["ReduceLogSumExp",[F0]],["ReduceSumSquare",[q0]],["Relu",[My]],["Resize",[kv,Ov]],["RotaryEmbedding",[Dv]],["Sigmoid",[Ty]],["Sin",[$y]],["Sinh",[Ry]],["Slice",[zv,Nv]],["SkipLayerNormalization",[Lv]],["Split",[Fv,Gv]],["Sqrt",[Iy]],["Softmax",[Uv,Bv]],["Sub",[Wy]],["Tan",[Py]],["Tanh",[ky]],["ThresholdedRelu",[Dy,xl]],["Tile",[Wv]],["Transpose",[T0,A0]],["Where",[Vv]]])}),qv,F2=Ce(()=>{Ur(),wa(),Ot(),qv=class{constructor(n){this.backend=n,this.repo=new Map,this.attributesBound=!1}getArtifact(n){return this.repo.get(n)}setArtifact(n,e){this.repo.set(n,e)}run(n,e,t,r,i){Nr(n.programInfo.name);let a=this.backend.device,s=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let o=[];for(let u of e)o.push({binding:o.length,resource:{buffer:u.buffer}});for(let u of t)o.push({binding:o.length,resource:{buffer:u.buffer}});i&&o.push({binding:o.length,resource:i});let l=a.createBindGroup({layout:n.computePipeline.getBindGroupLayout(0),entries:o,label:n.programInfo.name});if(this.backend.sessionStatus==="capturing"){let u={kernelId:this.backend.currentKernelId,computePipeline:n.computePipeline,bindGroup:l,dispatchGroup:r};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(u)}s.setPipeline(n.computePipeline),s.setBindGroup(0,l),s.dispatchWorkgroups(...r),this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2+1),this.backend.pendingDispatchNumber++,(this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber||this.backend.queryType==="at-passes")&&this.backend.endComputePass(),this.backend.pendingDispatchNumber>=this.backend.maxDispatchNumber&&this.backend.flush(),yr(n.programInfo.name)}dispose(){}build(n,e){Nr(n.name);let t=this.backend.device,r=[];t.features.has("shader-f16")&&r.push("enable f16;");let i=M0(e,this.backend.device.limits),a=n.getShaderSource(i),s=`${r.join(`
`)}
${i.additionalImplementations}
${a}`,o=t.createShaderModule({code:s,label:n.name});mn("verbose",()=>`[WebGPU] ${n.name} shader code: ${s}`);let l=t.createComputePipeline({compute:{module:o,entryPoint:"main"},layout:"auto",label:n.name});return yr(n.name),{programInfo:n,computePipeline:l,uniformVariablesInfo:i.variablesInfo}}normalizeDispatchGroupSize(n){let e=typeof n=="number"?n:n.x,t=typeof n=="number"?1:n.y||1,r=typeof n=="number"?1:n.z||1,i=this.backend.device.limits.maxComputeWorkgroupsPerDimension;if(e<=i&&t<=i&&r<=i)return[e,t,r];let a=e*t*r,s=Math.ceil(Math.sqrt(a));if(s>i){if(s=Math.ceil(Math.cbrt(a)),s>i)throw new Error("Total dispatch size exceeds WebGPU maximum.");return[s,s,s]}else return[s,s,1]}}}),zm,Nm,Um,jv,G2=Ce(()=>{Ur(),bt(),wa(),i2(),a2(),B2(),F2(),zm=(n,e)=>{if(e.length!==n.length)throw new Error(`inputDependencies length ${e.length} is not equal to inputTensors length ${n.length}.`);let t=[];for(let r=0;r<n.length;++r){let i=n[r].dataType;switch(e[r]){case"none":{t.push("");break}case"type":{t.push(`${i}`);break}case"rank":{let a=n[r].dims.length;t.push(`${i};${a}`);break}case"dims":{let a=n[r].dims.join(",");t.push(`${i};${a}`);break}default:throw new Error(`unsupported input dependency: ${e[r]}`)}}return t.join("|")},Nm=(n,e,t)=>{let r=n.name;return n.shaderCache?.hint&&(r+="["+n.shaderCache.hint+"]"),r+=":"+t+`:${zm(e,n.shaderCache?.inputDependencies??new Array(e.length).fill("dims"))}`,r},Um=class{constructor(n){n&&(this.architecture=n.architecture,this.vendor=n.vendor)}isArchitecture(n){return this.architecture===n}isVendor(n){return this.vendor===n}},jv=class{constructor(){this.currentSessionId=null,this.currentKernelId=null,this.commandEncoder=null,this.computePassEncoder=null,this.maxDispatchNumber=16,this.pendingDispatchNumber=0,this.pendingKernels=[],this.pendingQueries=new Map,this.sessionStatus="default",this.capturedCommandList=new Map,this.capturedPendingKernels=new Map,this.sessionExternalDataMapping=new Map}get currentKernelCustomData(){if(this.currentKernelId===null)throw new Error("currentKernelCustomData(): currentKernelId is null. (should not happen)");let n=this.kernelCustomData.get(this.currentKernelId);return n||(n={},this.kernelCustomData.set(this.currentKernelId,n)),n}async initialize(n,e){this.env=n;let t=[],r={requiredLimits:{maxComputeWorkgroupStorageSize:e.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:e.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:e.limits.maxStorageBufferBindingSize,maxBufferSize:e.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:e.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:e.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:e.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:e.limits.maxComputeWorkgroupSizeZ},requiredFeatures:t};e.features.has("chromium-experimental-timestamp-query-inside-passes")?t.push("chromium-experimental-timestamp-query-inside-passes"):e.features.has("timestamp-query")&&t.push("timestamp-query"),e.features.has("shader-f16")&&t.push("shader-f16"),this.device=await e.requestDevice(r),this.adapterInfo=new Um(await e.requestAdapterInfo()),this.gpuDataManager=S0(this),this.programManager=new qv(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,b0(n.logLevel,!!n.debug),this.device.onuncapturederror=i=>{i.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${i.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:e,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose()}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let n=this.getCommandEncoder(),e={};this.queryType==="at-passes"&&(e.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=n.beginComputePass(e)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;Nr(),this.endComputePass();let n;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),n=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(n,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,n,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&n.mapAsync(GPUMapMode.READ).then(()=>{let e=new BigUint64Array(n.getMappedRange()),t=this.pendingQueries.get(n);for(let r=0;r<e.length/2;r++){let i=t[r],a=i.kernelId,s=this.kernels.get(a),o=s.kernelType,l=s.kernelName,u=i.programName,c=i.inputTensorViews,h=i.outputTensorViews,p=e[r*2],d=e[r*2+1];typeof this.queryTimeBase>"u"&&(this.queryTimeBase=p);let m=Number(p-this.queryTimeBase),y=Number(d-this.queryTimeBase);if(!Number.isSafeInteger(m)||!Number.isSafeInteger(y))throw new RangeError("incorrect timestamp range");if(this.env.webgpu.profiling?.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:c.map(g=>({dims:g.dims,dataType:ta(g.dataType)})),outputsMetadata:h.map(g=>({dims:g.dims,dataType:ta(g.dataType)})),kernelId:a,kernelType:o,kernelName:l,programName:u,startTime:m,endTime:y});else{let g="";c.forEach((w,b)=>{g+=`input[${b}]: [${w.dims}] | ${ta(w.dataType)}, `});let _="";h.forEach((w,b)=>{_+=`output[${b}]: [${w.dims}] | ${ta(w.dataType)}, `}),console.log(`[profiling] kernel "${a}|${o}|${l}|${u}" ${g}${_}execution time: ${y-m} ns`)}js("GPU",`${u}::${p}::${d}`)}n.unmap(),this.pendingQueries.delete(n)}),yr()}run(n,e,t,r,i,a){Nr(n.name);let s=[];for(let w=0;w<e.length;++w){let b=e[w].data;if(b===0)continue;let E=this.gpuDataManager.get(b);if(!E)throw new Error(`no GPU data for input: ${b}`);s.push(E)}let{outputs:o,dispatchGroup:l,programUniforms:u}=n.getRunData(e),c=t.length===0?o.map((w,b)=>b):t;if(c.length!==o.length)throw new Error(`Output size ${c.length} must be equal to ${o.length}.`);let h=[],p=[];for(let w=0;w<o.length;++w){if(!Number.isInteger(c[w])||c[w]<-3||c[w]>=a)throw new Error(`Invalid output index: ${c[w]}`);if(c[w]===-3)continue;let b=c[w]===-1,E=c[w]===-2,T=b||E?i(o[w].dataType,o[w].dims):r(c[w],o[w].dataType,o[w].dims);if(h.push(T),T.data===0)continue;let I=this.gpuDataManager.get(T.data);if(!I)throw new Error(`no GPU data for output: ${T.data}`);if(b&&this.temporaryData.push(I),E){let C=this.kernelPersistentData.get(this.currentKernelId);C||(C=[],this.kernelPersistentData.set(this.currentKernelId,C)),C.push(I)}p.push(I)}if(s.length!==e.length||p.length!==h.length){if(p.length===0)return yr(n.name),h;throw new Error(`Program ${n.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let d;if(u){let w=0,b=[];u.forEach(C=>{let B=typeof C.data=="number"?[C.data]:C.data;if(B.length===0)return;let R=C.type===10?2:4,k,j;C.type===10?(j=B.length>4?16:B.length>2?8:B.length*R,k=B.length>4?16:R*B.length):(j=B.length<=2?B.length*R:16,k=16),w=Math.ceil(w/j)*j,b.push(w);let Q=C.type===10?8:4;w+=B.length>4?Math.ceil(B.length/Q)*k:B.length*R});let E=16;w=Math.ceil(w/E)*E;let T=new ArrayBuffer(w);u.forEach((C,B)=>{let R=b[B],k=typeof C.data=="number"?[C.data]:C.data;if(C.type===6)new Int32Array(T,R,k.length).set(k);else if(C.type===12)new Uint32Array(T,R,k.length).set(k);else if(C.type===10)new Uint16Array(T,R,k.length).set(k);else if(C.type===1)new Float32Array(T,R,k.length).set(k);else throw new Error(`Unsupported uniform type: ${ta(C.type)}`)});let I=this.gpuDataManager.create(w,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(I.buffer,0,T,0,w),this.gpuDataManager.release(I.id),d={offset:0,size:w,buffer:I.buffer}}let m=this.programManager.normalizeDispatchGroupSize(l),y=m[1]===1&&m[2]===1,g=Nm(n,e,y),_=this.programManager.getArtifact(g);if(_||(_=this.programManager.build(n,m),this.programManager.setArtifact(g,_),mn("info",()=>`[artifact] key: ${g}, programName: ${n.name}`)),u&&_.uniformVariablesInfo){if(u.length!==_.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${_.uniformVariablesInfo.length}, got ${u.length} in program "${_.programInfo.name}".`);for(let w=0;w<u.length;w++){let b=u[w],E=b.type,T=typeof b.data=="number"?1:b.data.length,[I,C]=_.uniformVariablesInfo[w];if(E!==I||T!==C)throw new Error(`Uniform variable ${w} mismatch: expect type ${I} with size ${C}, got type ${E} with size ${T} in program "${_.programInfo.name}".`)}}if(mn("info",()=>`[ProgramManager] run "${n.name}" (key=${g}) with ${m[0]}x${m[1]}x${m[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let w={kernelId:this.currentKernelId,programName:_.programInfo.name,inputTensorViews:e,outputTensorViews:h};this.pendingKernels.push(w),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(w)}return this.programManager.run(_,s,p,m,d),yr(n.name),h}upload(n,e){this.gpuDataManager.upload(n,e)}memcpy(n,e){this.gpuDataManager.memcpy(n,e)}async download(n,e){await this.gpuDataManager.download(n,e)}alloc(n){return this.gpuDataManager.create(n).id}free(n){return this.gpuDataManager.release(n)}createKernel(n,e,t,r){let i=Hv.get(n);if(!i)throw new Error(`kernel not implemented: ${n}`);let a={kernelType:n,kernelName:r,kernelEntry:i[0],attributes:[i[1],t]};this.kernels.set(e,a)}releaseKernel(n){let e=this.kernelPersistentData.get(n);if(e){for(let t of e)this.gpuDataManager.release(t.id);this.kernelPersistentData.delete(n)}this.kernelCustomData.delete(n),this.kernels.delete(n)}computeKernel(n,e,t){let r=this.kernels.get(n);if(!r)throw new Error(`kernel not created: ${n}`);let i=r.kernelType,a=r.kernelName,s=r.kernelEntry,o=r.attributes;if(this.currentKernelId!==null)throw new Error(`kernel "[${i}] ${a}" is not allowed to be called recursively`);this.currentKernelId=n,o[0]&&(o[1]=o[0](o[1]),o[0]=void 0),mn("info",()=>`[WebGPU] Start to run kernel "[${i}] ${a}"...`);let l=this.env.debug;this.temporaryData=[];try{return l&&this.device.pushErrorScope("validation"),s(e,o[1]),0}catch(u){return t.push(Promise.resolve(`[WebGPU] Kernel "[${i}] ${a}" failed. ${u}`)),1}finally{l&&t.push(this.device.popErrorScope().then(u=>u?`GPU validation error for kernel "[${i}] ${a}": ${u.message}`:null));for(let u of this.temporaryData)this.gpuDataManager.release(u.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(n,e,t,r){let i=this.sessionExternalDataMapping.get(n);i||(i=new Map,this.sessionExternalDataMapping.set(n,i));let a=i.get(e),s=this.gpuDataManager.registerExternalBuffer(t,r,a?.[1]);return i.set(e,[s,t]),s}unregisterBuffers(n){let e=this.sessionExternalDataMapping.get(n);e&&(e.forEach(t=>this.gpuDataManager.unregisterExternalBuffer(t[1])),this.sessionExternalDataMapping.delete(n))}getBuffer(n){let e=this.gpuDataManager.get(n);if(!e)throw new Error(`no GPU data for buffer: ${n}`);return e.buffer}createDownloader(n,e,t){return async()=>{let r=await Fc(this,n,e);return x0(r.buffer,t)}}writeTimestamp(n){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,n)}setQueryType(){this.queryType="none",(this.env.webgpu.profiling?.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(){mn("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(){mn("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){mn("info","replay"),this.sessionStatus="replaying";let n=this.capturedCommandList.get(this.currentSessionId),e=this.capturedPendingKernels.get(this.currentSessionId),t=n.length;this.pendingKernels=[];for(let r=0;r<t;r++){let i=this.getComputePassEncoder(),a=n[r];this.writeTimestamp(this.pendingDispatchNumber*2),i.setPipeline(a.computePipeline),i.setBindGroup(0,a.bindGroup),i.dispatchWorkgroups(...a.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!=="none"&&this.pendingKernels.push(e[r]),(this.pendingDispatchNumber>=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onReleaseSession(n){this.unregisterBuffers(n),this.capturedCommandList.has(n)&&this.capturedCommandList.delete(n),this.capturedPendingKernels.has(n)&&this.capturedPendingKernels.delete(n),this.gpuDataManager.onReleaseSession(n)}onRunStart(n){this.currentSessionId=n,this.setQueryType()}}}),Xv={};ms(Xv,{init:()=>Yv});var Ho,Bm,Yv,W2=Ce(()=>{bt(),G2(),wa(),Dt(),Ho=class Kv{constructor(e,t,r,i){this.module=e,this.dataType=t,this.data=r,this.dims=i}getFloat32Array(){if(this.dataType!==1)throw new Error("Invalid data type");let e=Ee.size(this.dims);return e===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,e)}getBigInt64Array(){if(this.dataType!==7)throw new Error("Invalid data type");let e=Ee.size(this.dims);return e===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,e)}getInt32Array(){if(this.dataType!==6)throw new Error("Invalid data type");let e=Ee.size(this.dims);return e===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,e)}reshape(e){if(Ee.size(e)!==Ee.size(this.dims))throw new Error("Invalid new shape");return new Kv(this.module,this.dataType,this.data,e)}},Bm=class{constructor(n,e,t){this.module=n,this.backend=e,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=e.adapterInfo;let r=n.HEAPU32,i=t>>>2;this.opKernelContext=r[i++];let a=r[i++];this.outputCount=r[i++],this.customDataOffset=r[i++],this.customDataSize=r[i++];let s=[];for(let o=0;o<a;o++){let l=r[i++],u=r[i++],c=r[i++],h=[];for(let p=0;p<c;p++)h.push(r[i++]);s.push(new Ho(n,l,u,h))}this.inputs=s}get kernelCustomData(){return this.backend.currentKernelCustomData}get customDataBuffer(){return this.module.HEAPU8.subarray(this.customDataOffset,this.customDataOffset+this.customDataSize)}getMaxComputeWorkgroupSizes(){return[this.backend.device.limits.maxComputeWorkgroupSizeX,this.backend.device.limits.maxComputeWorkgroupSizeY,this.backend.device.limits.maxComputeWorkgroupSizeZ]}getMaxComputeWorkgroupStoragesize(){return this.backend.device.limits.maxComputeWorkgroupStorageSize}compute(n,e){let t=e?.inputs?.map(s=>typeof s=="number"?this.inputs[s]:s)??this.inputs,r=e?.outputs??[],i=(s,o,l)=>new Ho(this.module,o,this.output(s,l),l),a=(s,o)=>{let l=Xs(s);if(!l)throw new Error(`Unsupported data type: ${s}`);let u=l*Ee.size(o),c=u>0?this.backend.gpuDataManager.create(u).id:0;return new Ho(this.module,s,c,o)};return this.backend.run(n,t,r,i,a,this.outputCount)}output(n,e){let t=this.module.stackSave();try{let r=this.module.stackAlloc((1+e.length)*4),i=r>>2;this.module.HEAPU32[i++]=e.length;for(let a=0;a<e.length;a++)this.module.HEAPU32[i++]=e[a];return this.module._JsepOutput(this.opKernelContext,n,r)}catch(r){throw new Error(`Failed to generate kernel's output[${n}] with dims [${e}]. If you are running with pre-allocated output, please make sure the output type/dims are correct. Error: ${r}`)}finally{this.module.stackRestore(t)}}},Yv=async(n,e,t,r)=>{let i=e.jsepInit;if(!i)throw new Error("Failed to initialize JSEP. The WebAssembly module is not built with JSEP support.");if(n==="webgpu"){let a=new jv;await a.initialize(t,r),i("webgpu",[a,s=>a.alloc(s),s=>a.free(s),(s,o,l,u=!1)=>{if(u)mn("verbose",()=>`[WebGPU] jsepCopyGpuToGpu: src=${s}, dst=${o}, size=${l}`),a.memcpy(s,o);else{mn("verbose",()=>`[WebGPU] jsepCopyCpuToGpu: dataOffset=${s}, gpuDataId=${o}, size=${l}`);let c=e.HEAPU8.subarray(s>>>0,(s>>>0)+l);a.upload(o,c)}},async(s,o,l)=>{mn("verbose",()=>`[WebGPU] jsepCopyGpuToCpu: gpuDataId=${s}, dataOffset=${o}, size=${l}`),await a.download(s,()=>e.HEAPU8.subarray(o>>>0,(o>>>0)+l))},(s,o,l)=>a.createKernel(s,o,l,e.UTF8ToString(e._JsepGetNodeName(o))),s=>a.releaseKernel(s),(s,o,l,u)=>{mn("verbose",()=>`[WebGPU] jsepRun: sessionHandle=${l}, kernel=${s}, contextDataOffset=${o}`);let c=new Bm(e,a,o);return a.computeKernel(s,c,u)},()=>a.captureBegin(),()=>a.captureEnd(),()=>a.replay()])}else i("webnn")}}),Fm,Zv,Qv,xi,Gm,Zc,Jv,ew,Ju,tw,nw,rw,V2=Ce(()=>{n2(),r2(),bt(),ao(),wd(),w0(),Fm=(n,e)=>{yn()._OrtInit(n,e)!==0&&an("Can't initialize onnxruntime.")},Zv=async n=>{Fm(n.wasm.numThreads,kl(n.logLevel))},Qv=async(n,e)=>{{let t=(W2(),la(Xv)).init;if(e==="webgpu"){if(typeof navigator>"u"||!navigator.gpu)throw new Error("WebGPU is not supported in current environment");let r=n.webgpu.adapter;if(r){if(typeof r.limits!="object"||typeof r.features!="object"||typeof r.requestDevice!="function")throw new Error("Invalid GPU adapter set in `env.webgpu.adapter`. 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}`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${u};${h};${i}`},getShaderSource:y,getRunData:()=>({outputs:[],dispatchGroup:{x:r},programUniforms:p})}},rc=(e,t,r,o,i,u,a)=>{let c=a+i.kvSequenceLength,p=[i.batchSize,i.numHeads,i.sequenceLength,c],h=u.scale===0?1/Math.sqrt(i.headSize):u.scale,d=Me(i.headSize),y=i.headSize/d,w=12,_={x:Math.ceil(c/w),y:Math.ceil(i.sequenceLength/w),z:i.batchSize*i.numHeads},v=[{type:12,data:i.sequenceLength},{type:12,data:y},{type:12,data:c},{type:12,data:i.numHeads},{type:1,data:h}],S=o?["type","type","type"]:["type","type"],A=I=>{let x=U("q",t.dataType,t.dims,d),E=U("key",r.dataType,r.dims,d),P=[x,E];o&&P.push(U("relative_position_bias",o.dataType,o.dims));let O=j("output",t.dataType,p),R=et(1,d),L=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"alpha",type:"f32"}];return`\n  const TILE_SIZE = ${w}u;\n\n  var<workgroup> tileQ: array<${x.type.storage}, ${w*w}>;\n  var<workgroup> tileK: array<${x.type.storage}, ${w*w}>;\n  ${I.registerUniforms(L).declareVariables(...P,O)}\n  ${I.mainStart([w,w,1])}\n    // x holds the N and y holds the M\n    let headIdx = workgroup_id.z;\n    let m = workgroup_id.y * TILE_SIZE;\n    let n = workgroup_id.x * TILE_SIZE;\n    let qOffset = uniforms.M * uniforms.K * headIdx + m * uniforms.K;\n    let kOffset = uniforms.N * uniforms.K * headIdx + n * uniforms.K;\n\n    var value = ${R}(0);\n    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {\n        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];\n      }\n      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {\n        tileK[TILE_SIZE * local_id.y + local_id.x] = key[kOffset + local_id.y * uniforms.K + w + local_id.x];\n      }\n      workgroupBarrier();\n\n      for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {\n        value += ${R}(tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * local_id.x + k]);\n      }\n\n      workgroupBarrier();\n    }\n\n    let headOffset = headIdx * uniforms.M * uniforms.N;\n    if (global_id.y < uniforms.M && global_id.x < uniforms.N) {\n      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;\n      var sum: f32 = ${(()=>{switch(d){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: ${d}`)}})()};\n        output[outputIdx] = ${O.type.value} (sum * uniforms.alpha) + ${o?"relative_position_bias[outputIdx]":"0.0"};\n    }\n  }`};return{name:"AttentionProbs",shaderCache:{hint:`${d}`,inputDependencies:S},getRunData:()=>({outputs:[{dims:p,dataType:t.dataType,gpuDataType:0}],dispatchGroup:_,programUniforms:v}),getShaderSource:A}},nc=(e,t,r,o,i)=>{let u=i+o.kvSequenceLength,a=[o.batchSize,o.sequenceLength,o.vHiddenSize],c=12,p={x:Math.ceil(o.vHeadSize/c),y:Math.ceil(o.sequenceLength/c),z:o.batchSize*o.numHeads},h=[{type:12,data:o.sequenceLength},{type:12,data:u},{type:12,data:o.vHeadSize},{type:12,data:o.numHeads},{type:12,data:o.vHiddenSize}];return{name:"AttentionScore",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:a,dataType:t.dataType,gpuDataType:0}],dispatchGroup:p,programUniforms:h}),getShaderSource:w=>{let _=U("probs",t.dataType,t.dims),v=U("v",r.dataType,r.dims),S=j("output",t.dataType,a),A=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"v_hidden_size",type:"u32"}];return`\n  const TILE_SIZE = ${c}u;\n  var<workgroup> tileQ: array<${_.type.value}, ${c*c}>;\n  var<workgroup> tileK: array<${_.type.value}, ${c*c}>;\n  ${w.registerUniforms(A).declareVariables(_,v,S)}\n  ${w.mainStart([c,c,1])}\n   let headIdx = workgroup_id.z;\n   let m = global_id.y;\n   let n = global_id.x;\n\n   let offsetA = headIdx * (uniforms.M * uniforms.K) + m * uniforms.K;\n   let offsetB = headIdx * (uniforms.N * uniforms.K) + n;\n\n   var value = ${_.type.storage}(0);\n   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n     if (m < uniforms.M && w + local_id.x < uniforms.K) {\n       tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];\n     }\n     if (n < uniforms.N && w + local_id.y < uniforms.K) {\n       tileK[TILE_SIZE * local_id.y + local_id.x] = v[offsetB + (w + local_id.y) * uniforms.N];\n     }\n     workgroupBarrier();\n     for (var k: u32 = 0u; k < TILE_SIZE && w+k < uniforms.K; k++) {\n       value += tileQ[TILE_SIZE * local_id.y + k] * tileK[TILE_SIZE * k + local_id.x];\n     }\n     workgroupBarrier();\n   }\n\n   // we need to transpose output from BNSH_v to BSND_v\n   let batchIdx = workgroup_id.z / uniforms.num_heads;\n   let currentBatchHeadNumber = workgroup_id.z % uniforms.num_heads;\n   if (m < uniforms.M && n < uniforms.N) {\n     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size\n       + currentBatchHeadNumber * uniforms.N + n;\n     output[outputIdx] = value;\n   }\n  }`}}},Pn=(e,t,r,o,i,u,a,c,p,h,d)=>{let y=e.outputCount>1,w=e.outputCount>2,_=y&&w?h.pastSequenceLength:0,v=_+h.kvSequenceLength,S=[h.batchSize,h.numHeads,v,h.headSize],A=a?[a,r]:[r],I=y?e.compute(En(A,2,S,r.dataType),{inputs:A,outputs:[1]})[0]:r,x=[h.batchSize,h.numHeads,v,h.headSize],E=c?[c,o]:[o],P=w?e.compute(En(E,2,x,o.dataType),{inputs:E,outputs:[2]})[0]:o,O=[t,I];p&&O.push(p);let R=e.compute(rc(e,t,I,p,h,d,_),{inputs:O,outputs:[-1]})[0];e.compute(tc(e,R,h.batchSize*h.numHeads*h.sequenceLength,v),{inputs:[R],outputs:[]});let L=[R,P];e.compute(nc(e,R,P,h,_),{inputs:L,outputs:[0]})},oc=(e,t)=>{let r=[t.batchSize,t.numHeads,t.sequenceLength,t.headSize],o=t.sequenceLength,i=t.inputHiddenSize,u=t.headSize,a=12,c={x:Math.ceil(t.headSize/a),y:Math.ceil(t.sequenceLength/a),z:t.batchSize*t.numHeads},p=[e.inputs[0],e.inputs[1],e.inputs[2]],h=[{type:12,data:o},{type:12,data:i},{type:12,data:u},{type:12,data:t.numHeads},{type:12,data:t.headSize},{type:12,data:t.hiddenSize},{type:12,data:t.hiddenSize+t.hiddenSize+t.vHiddenSize}],d=y=>{let w=j("output_q",p[0].dataType,r),_=j("output_k",p[0].dataType,r),v=j("output_v",p[0].dataType,r),S=U("input",p[0].dataType,p[0].dims),A=U("weight",p[1].dataType,p[1].dims),I=U("bias",p[2].dataType,p[2].dims),x=S.type.storage,E=[{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`\n  const TILE_SIZE = ${a}u;\n  var<workgroup> tileInput: array<${x}, ${a*a}>;\n  var<workgroup> tileWeightQ: array<${x}, ${a*a}>;\n  var<workgroup> tileWeightK: array<${x}, ${a*a}>;\n  var<workgroup> tileWeightV: array<${x}, ${a*a}>;\n  ${y.registerUniforms(E).declareVariables(S,A,I,w,_,v)}\n  ${y.mainStart([a,a,1])}\n    let batchIndex = workgroup_id.z / uniforms.num_heads;\n    let headNumber = workgroup_id.z % uniforms.num_heads;\n    let m = global_id.y;\n    let n = global_id.x;\n\n    let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;\n    let biasOffsetQ = headNumber * uniforms.head_size;\n    let biasOffsetK = uniforms.hidden_size + biasOffsetQ;\n    let biasOffsetV = uniforms.hidden_size + biasOffsetK;\n\n    var valueQ = ${x}(0);\n    var valueK = ${x}(0);\n    var valueV = ${x}(0);\n    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {\n      if (m < uniforms.M && w + local_id.x < uniforms.K) {\n        tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];\n      }\n      if (n < uniforms.N && w + local_id.y < uniforms.K) {\n        let offset = n + (w + local_id.y) * uniforms.ldb;\n        tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];\n        tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];\n        tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];\n      }\n      workgroupBarrier();\n      for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {\n        let inputTileOffset = TILE_SIZE * local_id.y + k;\n        let weightTileOffset = TILE_SIZE * k + local_id.x;\n        valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];\n        valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];\n        valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];\n      }\n\n      workgroupBarrier();\n    }\n\n    let headOffset = (m * uniforms.N + n) % uniforms.head_size;\n    valueQ += bias[headOffset + biasOffsetQ];\n    valueK += bias[headOffset + biasOffsetK];\n    valueV += bias[headOffset + biasOffsetV];\n\n    let offset = workgroup_id.z * uniforms.M * uniforms.N;\n    if (m < uniforms.M && n < uniforms.N) {\n      let outputIdx = offset + m * uniforms.N + n;\n      output_q[outputIdx] = valueQ;\n      output_k[outputIdx] = valueK;\n      output_v[outputIdx] = valueV;\n    }\n  }`};return e.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0},{dims:r,dataType:e.inputs[0].dataType,gpuDataType:0}],dispatchGroup:c,programUniforms:h}),getShaderSource:d},{inputs:p,outputs:[-1,-1,-1]})},Xa=(e,t)=>{let r=ec(e.inputs,t),[o,i,u]=oc(e,r);return Pn(e,o,i,u,e.inputs[4],void 0,void 0,void 0,e.inputs[5],r,t)}});var ic,ac,sc,Qa,Ja=Y(()=>{"use strict";$r();ye();Se();Ze();_e();ic=(e,t)=>{if(!e||e.length!==5)throw new Error("BatchNormalization requires 5 inputs");let r=(o,i,u)=>{let a=i.length;if(a!==o.length)throw new Error(`${u}: num dimensions != ${a}`);i.forEach((c,p)=>{if(c!==o[p])throw new Error(`${u}: dim[${p}] do not match`)})};if(e[0].dims.length>1){let o=t.format==="NHWC"?t.spatial?e[0].dims.slice(-1):e[0].dims.slice(-1).concat(e[0].dims.slice(1,e[0].dims.length-1)):e[0].dims.slice(1,t.spatial?2:void 0);r(e[1].dims,o,"Invalid input scale"),r(e[2].dims,o,"Invalid input B"),r(e[3].dims,o,"Invalid input mean"),r(e[4].dims,o,"Invalid input var")}else r(e[1].dims,[1],"Invalid input scale"),r(e[2].dims,[1],"Invalid input B"),r(e[3].dims,[1],"Invalid input mean"),r(e[4].dims,[1],"Invalid input 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${E.registerUniform("outputSize","u32").declareVariables(y,w,_,v,S,A)}\n  ${E.mainStart()}\n  ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n    var outputIndices = ${A.offsetToIndices(`global_idx * ${a}`)};\n    ${I()}\n    let scale = ${w.getByOffset("cOffset")};\n    let bias = ${_.getByOffset("cOffset")};\n    let inputMean = ${v.getByOffset("cOffset")};\n    let inputVar = ${S.getByOffset("cOffset")};\n    let x = ${y.getByOffset("global_idx")};\n    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;\n    ${A.setByOffset("global_idx","value")}\n  }`;return{name:"BatchNormalization",shaderCache:{hint:`${t.epsilon}_${t.format}_${o}_${a}`,inputDependencies:h?["rank","type","type","type","type"]:void 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t=e[0].dims,r=e[0].dims[2],o=M.size(t)/4,i=e[0].dataType,u=U("input",i,t,4),a=U("bias",i,[r],4),c=U("residual",i,t,4),p=j("output",i,t,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:t,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(o/64)}}),getShaderSource:d=>`\n  const channels = ${r}u / 4;\n  ${d.declareVariables(u,a,c,p)}\n\n  ${d.mainStart()}\n    ${d.guardAgainstOutOfBoundsWorkgroupSizes(o)}\n    let value = ${u.getByOffset("global_idx")}\n      + ${a.getByOffset("global_idx % channels")} + ${c.getByOffset("global_idx")};\n    ${p.setByOffset("global_idx","value")}\n  }`}},es=e=>{uc(e.inputs),e.compute(dc(e.inputs))}});var lc,ke,rs,ns,os,is,as,ss,us,ds,ls,cc,cs,ps,ms,fs,kn,hs,On,gs,ys,bs,ws,vs,$s,_s,Ss,xs,Cs,As,Is,Ts,Es,Ps,ks,Os,Rs,Bo,Do,Bs,Ds,zs,Rn=Y(()=>{"use strict";ye();Se();Ze();_e();lc=(e,t,r,o,i,u)=>{let a=Math.ceil(t/4),c="";typeof i=="string"?c=`${i}(a)`:c=i("a");let p=U("inputData",r,[a],4),h=j("outputData",o,[a],4);return`\n      ${e.registerUniform("vec_size","u32").declareVariables(p,h)}\n\n  ${u??""}\n\n  ${e.mainStart()}\n    ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}\n\n    let a = ${p.getByOffset("global_idx")};\n    ${h.setByOffset("global_idx",c)}\n  }`},ke=(e,t,r,o,i,u=e.dataType)=>({name:t,shaderCache:{hint:i,inputDependencies:["type"]},getShaderSource:a=>lc(a,M.size(e.dims),e.dataType,u,r,o),getRunData:a=>({outputs:[{dims:e.dims,dataType:u}],dispatchGroup:{x:Math.ceil(M.size(a[0].dims)/64/4)},programUniforms:[{type:12,data:Math.ceil(M.size(e.dims)/4)}]})}),rs=e=>{e.compute(ke(e.inputs[0],"Abs","abs"))},ns=e=>{e.compute(ke(e.inputs[0],"Acos","acos"))},os=e=>{e.compute(ke(e.inputs[0],"Acosh","acosh"))},is=e=>{e.compute(ke(e.inputs[0],"Asin","asin"))},as=e=>{e.compute(ke(e.inputs[0],"Asinh","asinh"))},ss=e=>{e.compute(ke(e.inputs[0],"Atan","atan"))},us=e=>{e.compute(ke(e.inputs[0],"Atanh","atanh"))},ds=e=>ve(e),ls=(e,t)=>{let r;switch(t.to){case 10:r="vec4<f16>";break;case 1:r="vec4<f32>";break;case 12:r="vec4<u32>";break;case 6:r="vec4<i32>";break;case 9:r="vec4<bool>";break;default:throw new RangeError(`not supported type (specified in attribute \'to\' from \'Cast\' operator): ${t.to}`)}e.compute(ke(e.inputs[0],"Cast",r,void 0,t.cacheKey,t.to))},cc=e=>{let t=e.length>=2&&e[1].data!==0?e[1].getFloat32Array()[0]:xn,r=e.length>=3&&e[2].data!==0?e[2].getFloat32Array()[0]:Cn;return ve({min:t,max:r})},cs=(e,t)=>{let r=e.inputs.length===1?t:cc(e.inputs),o=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Clip",i=>`clamp(${i}, clip_min_, clip_max_)`,`\n    const clip_min_: vec4<${o}> = vec4(${o}(${r.min}));\n    const clip_max_: vec4<${o}> = vec4(${o}(${r.max}));\n`,r.cacheKey),{inputs:[0]})},ps=e=>{e.compute(ke(e.inputs[0],"Ceil","ceil"))},ms=e=>{e.compute(ke(e.inputs[0],"Cos","cos"))},fs=e=>{e.compute(ke(e.inputs[0],"Cosh","cosh"))},kn=e=>ve(e),hs=(e,t)=>{let r=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Elu",o=>`elu_vf32(${o})`,`\n  const elu_alpha_ 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0.7071067811865475))`,On(t)))},vs=(e,t)=>{let r=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"LeakyRelu",o=>`select(leaky_relu_alpha_ * ${o}, ${o}, ${o} >= vec4<${r}>(0.0))`,`const leaky_relu_alpha_ = ${r}(${t.alpha});`,t.cacheKey))},$s=e=>{e.compute(ke(e.inputs[0],"Not",t=>`!${t}`))},_s=e=>{e.compute(ke(e.inputs[0],"Neg",t=>`-${t}`))},Ss=e=>{e.compute(ke(e.inputs[0],"Reciprocal",t=>`1.0/${t}`))},xs=e=>{let t=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"Relu",r=>`select(vec4<${t}>(0.0), ${r}, ${r} > vec4<${t}>(0.0))`))},Cs=e=>{e.compute(ke(e.inputs[0],"Sigmoid",t=>`(1.0 / (1.0 + exp(-${t})))`))},As=e=>ve(e),Is=(e,t)=>{let r=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"HardSigmoid",o=>`max(vec4<${r}>(0.0), min(vec4<${r}>(1.0), ${t.alpha} * ${o} + vec4<${r}>(${t.beta})))`,void 0,t.cacheKey))},Ts=e=>{e.compute(ke(e.inputs[0],"Sin","sin"))},Es=e=>{e.compute(ke(e.inputs[0],"Sinh","sinh"))},Ps=e=>{e.compute(ke(e.inputs[0],"Sqrt","sqrt"))},ks=e=>{e.compute(ke(e.inputs[0],"Tan","tan"))},Os=e=>`sign(${e}) * (1 - exp(-2 * abs(${e}))) / (1 + exp(-2 * abs(${e})))`,Rs=e=>{e.compute(ke(e.inputs[0],"Tanh",Os))},Bo=(e="f32")=>`\nconst fast_gelu_a: ${e} = 0.5;\nconst fast_gelu_b: ${e} = 0.7978845608028654;\nconst fast_gelu_c: ${e} = 0.035677408136300125;\n\nfn tanh_v(v: vec4<${e}>) -> vec4<${e}> {\n  return ${Os("v")};\n}\n`,Do=e=>`(fast_gelu_a + fast_gelu_a * tanh_v(${e} * (fast_gelu_c * ${e} * ${e} + fast_gelu_b))) * ${e}`,Bs=e=>{let t=et(e.inputs[0].dataType);e.compute(ke(e.inputs[0],"FastGelu",Do,Bo(t),void 0,e.inputs[0].dataType))},Ds=(e,t)=>{let r=et(e.inputs[0].dataType);return e.compute(ke(e.inputs[0],"ThresholdedRelu",o=>`select(vec4<${r}>(0.0), ${o}, ${o} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = 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${p.guardAgainstOutOfBoundsWorkgroupSizes(u)}\n    let biasIdx = global_idx % halfChannels;\n    let batchIndex = global_idx / halfChannels;\n    let inputOffset = biasIdx + batchIndex * halfChannels * 2;\n    let valueLeft = input[inputOffset] + bias[biasIdx];\n    let valueRight = input[inputOffset + halfChannels] + bias[biasIdx + halfChannels];\n    let geluRight = valueRight * 0.5 * (erf_vf32(valueRight / M_SQRT2) + 1);\n\n    ${i.setByOffset("global_idx","valueLeft * geluRight")}\n  }`}},Us=e=>{pc(e.inputs),e.compute(mc(e.inputs))}});var fc,hc,Ot,Ws,Ns,Gs,Hs,Ls,Fs,qs,js,Ks,Ys,Zs=Y(()=>{"use strict";ye();Se();_e();fc=(e,t,r,o,i,u,a,c,p,h,d,y)=>{let w,_;typeof c=="string"?w=_=(x,E)=>`${c}((${x}),(${E}))`:typeof c=="function"?w=_=c:(w=c.scalar,_=c.vector);let v=j("outputData",d,o.length,4),S=U("aData",p,t.length,4),A=U("bData",h,r.length,4),I;if(i)if(u){let x=M.size(t)===1,E=M.size(r)===1,P=t.length>0&&t[t.length-1]%4===0,O=r.length>0&&r[r.length-1]%4===0;x||E?I=v.setByOffset("global_idx",_(x?`${S.type.value}(${S.getByOffset("0")}.x)`:S.getByOffset("global_idx"),E?`${A.type.value}(${A.getByOffset("0")}.x)`:A.getByOffset("global_idx"))):I=`\n            let outputIndices = ${v.offsetToIndices("global_idx * 4u")};\n            let offsetA = ${S.broadcastedIndicesToOffset("outputIndices",v)};\n            let offsetB = ${A.broadcastedIndicesToOffset("outputIndices",v)};\n            ${v.setByOffset("global_idx",_(a||P?S.getByOffset("offsetA / 4u"):`${S.type.value}(${S.getByOffset("offsetA / 4u")}[offsetA % 4u])`,a||O?A.getByOffset("offsetB / 4u"):`${A.type.value}(${A.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}\n          `}else I=v.setByOffset("global_idx",_(S.getByOffset("global_idx"),A.getByOffset("global_idx")));else{if(!u)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let x=(E,P,O="")=>{let R=`aData[indexA${P}][componentA${P}]`,L=`bData[indexB${P}][componentB${P}]`;return`\n            let outputIndices${P} = ${v.offsetToIndices(`global_idx * 4u + ${P}u`)};\n            let offsetA${P} = ${S.broadcastedIndicesToOffset(`outputIndices${P}`,v)};\n            let offsetB${P} = ${A.broadcastedIndicesToOffset(`outputIndices${P}`,v)};\n            let indexA${P} = offsetA${P} / 4u;\n            let indexB${P} = offsetB${P} / 4u;\n            let componentA${P} = offsetA${P} % 4u;\n            let componentB${P} = offsetB${P} % 4u;\n            ${E}[${P}] = ${O}(${w(R,L)});\n          `};d===9?I=`\n            var data = vec4<u32>(0);\n            ${x("data",0,"u32")}\n            ${x("data",1,"u32")}\n            ${x("data",2,"u32")}\n            ${x("data",3,"u32")}\n            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:I=`\n            ${x("outputData[global_idx]",0)}\n            ${x("outputData[global_idx]",1)}\n            ${x("outputData[global_idx]",2)}\n            ${x("outputData[global_idx]",3)}\n          `}return`\n        ${e.registerUniform("vec_size","u32").declareVariables(S,A,v)}\n\n        ${y??""}\n\n        ${e.mainStart()}\n        ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}\n        ${I}\n      }`},hc=(e,t,r,o,i,u,a=r.dataType)=>{let c=!M.areEqual(r.dims,o.dims),p=r.dims,h=M.size(r.dims),d=!1,y=!1,w=[c];if(c){let _=It.calcShape(r.dims,o.dims,!1);if(!_)throw new Error("Can\'t perform binary op on the given tensors");p=_,h=M.size(p);let v=M.size(r.dims)===1,S=M.size(o.dims)===1,A=r.dims.length>0&&r.dims[r.dims.length-1]%4===0,I=o.dims.length>0&&o.dims[o.dims.length-1]%4===0;w.push(v),w.push(S),w.push(A),w.push(I);let x=1;for(let E=1;E<p.length;E++){let P=r.dims[r.dims.length-E]??1,O=o.dims[o.dims.length-E]??1;if(P===O)x*=P;else break}x%4===0?(y=!0,d=!0):(v||S||A||I)&&(d=!0)}else d=!0;return w.push(d),{name:e,shaderCache:{hint:t+w.map(_=>_.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:_=>fc(_,r.dims,o.dims,p,d,c,y,i,r.dataType,o.dataType,a,u),getRunData:()=>({outputs:[{dims:p,dataType:a}],dispatchGroup:{x:Math.ceil(h/64/4)},programUniforms:[{type:12,data:Math.ceil(M.size(p)/4)},...Z(r.dims,o.dims,p)]})}},Ot=(e,t,r,o,i,u)=>{e.compute(hc(t,i??"",e.inputs[0],e.inputs[1],r,o,u))},Ws=e=>{Ot(e,"Add",(t,r)=>`${t}+${r}`)},Ns=e=>{Ot(e,"Div",(t,r)=>`${t}/${r}`)},Gs=e=>{Ot(e,"Equal",{scalar:(t,r)=>`u32(${t}==${r})`,vector:(t,r)=>`vec4<u32>(${t}==${r})`},void 0,void 0,9)},Hs=e=>{Ot(e,"Mul",(t,r)=>`${t}*${r}`)},Ls=e=>{let t=U("input",e.inputs[0].dataType,e.inputs[0].dims).type.value;Ot(e,"Pow",{scalar:(o,i)=>`pow_custom(${o},${i})`,vector:(o,i)=>`pow_vector_custom(${o},${i})`},`\n    fn pow_custom(a : ${t}, b : ${t}) -> ${t} {\n      if (b == ${t}(0.0)) {\n        return ${t}(1.0);\n      } else if (a < ${t}(0.0) && f32(b) != floor(f32(b))) {\n        return ${t}(pow(f32(a), f32(b))); // NaN\n      }\n      return select(sign(a), ${t}(1.0), round(f32(abs(b) % ${t}(2.0))) != 1.0) * ${t}(${t==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));\n    }\n    fn pow_vector_custom(a : vec4<${t}>, b : vec4<${t}>) -> vec4<${t}> {\n      // TODO: implement vectorized pow\n      return vec4<${t}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));\n    }\n      `)},Fs=e=>{Ot(e,"Sub",(t,r)=>`${t}-${r}`)},qs=e=>{Ot(e,"Greater",{scalar:(t,r)=>`u32(${t}>${r})`,vector:(t,r)=>`vec4<u32>(${t}>${r})`},void 0,void 0,9)},js=e=>{Ot(e,"Less",{scalar:(t,r)=>`u32(${t}<${r})`,vector:(t,r)=>`vec4<u32>(${t}<${r})`},void 0,void 0,9)},Ks=e=>{Ot(e,"GreaterOrEqual",{scalar:(t,r)=>`u32(${t}>=${r})`,vector:(t,r)=>`vec4<u32>(${t}>=${r})`},void 0,void 0,9)},Ys=e=>{Ot(e,"LessOrEqual",{scalar:(t,r)=>`u32(${t}<=${r})`,vector:(t,r)=>`vec4<u32>(${t}<=${r})`},void 0,void 0,9)}});var St,xt,Ct,Bn,Ft=Y(()=>{"use strict";ye();Se();St=(e,t,r="f32")=>{switch(e.activation){case"Relu":return`value = max(value, ${t}(0.0));`;case"Sigmoid":return`value = (${t}(1.0) / (${t}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${t}(${r}(uniforms.clip_min)), ${t}(${r}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${t}(0.0), min(${t}(1.0), ${r}(uniforms.alpha) * value + ${r}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${r}(uniforms.alpha) * value, value, value >= ${t}(0.0));`;case"":return"";default:throw new Error(`Unsupported activation ${e.activation}`)}},xt=(e,t)=>{e.activation==="Clip"?t.push({type:1,data:e.clipMax},{type:1,data:e.clipMin}):e.activation==="HardSigmoid"?t.push({type:1,data:e.alpha},{type:1,data:e.beta}):e.activation==="LeakyRelu"&&t.push({type:1,data:e.alpha})},Ct=(e,t)=>{e.activation==="Clip"?t.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):e.activation==="HardSigmoid"?t.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):e.activation==="LeakyRelu"&&t.push({name:"alpha",type:"f32"})},Bn=e=>{let t=e?.activation||"";if(t==="HardSigmoid"){let[r,o]=e?.activation_params||[.2,.5];return{activation:t,alpha:r,beta:o}}else if(t==="Clip"){let[r,o]=e?.activation_params||[xn,Cn];return{activation:t,clipMax:o,clipMin:r}}else if(t==="LeakyRelu"){let[r]=e?.activation_params||[.01];return{activation:t,alpha:r}}return{activation:t}}});var tt,Dn,zn=Y(()=>{"use strict";tt=(e,t)=>{switch(e){case 1:return t;case 2:return`vec2<${t}>`;case 3:return`vec3<${t}>`;case 4:return`vec4<${t}>`;default:throw 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innerElementSize][localRow];\n        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];\n        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];\n        ${t===3?"":"let ACached3 = mm_Asub[k * innerElementSize + 3][localRow];"}\n        for (var i = 0; i < rowPerThread; i = i + 1) {\n          acc[i] = BCached0 * ACached0[i] + acc[i];\n          acc[i] = BCached1 * ACached1[i] + acc[i];\n          acc[i] = BCached2 * ACached2[i] + acc[i];\n          ${t===3?"":"acc[i] = BCached3 * ACached3[i] + acc[i];"}\n        }`:`\n        for (var i = 0; i < rowPerThread; i = i + 1) {\n          let ACached = mm_Asub[tileRow + i][k];\n          acc[i] = BCached0 * ACached.x + acc[i];\n          acc[i] = BCached1 * ACached.y + acc[i];\n          acc[i] = BCached2 * ACached.z + acc[i];\n          ${t===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}\n        }`,Hr=(e,t,r="f32",o,i=!1,u=32,a=!1,c=32)=>{let p=t[1]*e[1],h=t[0]*e[0],d=i?p:u,y=i?u:p,w=d/t[0],_=u/t[1];if(!((i&&w===4&&e[1]===4||!i&&(w===3||w===4))&&d%t[0]===0&&u%t[1]===0&&e[0]===4))throw new Error(`If transposeA ${i} is true, innerElementSize ${w} and workPerThread[1] ${e[1]} must be 4.\n      Otherwise, innerElementSize ${w} must be 3 or 4.\n  tileAWidth ${d} must be divisible by workgroupSize[0]${t[0]}. tileInner ${u} must be divisible by workgroupSize[1] ${t[1]}. colPerThread ${e[0]} must be 4.`);return`\nvar<workgroup> mm_Asub: array<array<vec${w}<${r}>, ${d/w}>, ${y}>;\nvar<workgroup> mm_Bsub: array<array<vec4<${r}>, ${h/e[0]}>, ${u}>;\n\nconst rowPerThread = ${e[1]};\nconst colPerThread = ${e[0]};\nconst innerElementSize = ${w};\nconst tileInner = ${u};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3<u32>,\n        @builtin(global_invocation_id) globalId : vec3<u32>,\n        @builtin(workgroup_id) workgroupId : vec3<u32>) {\n  let localRow = i32(localId.y);\n  let tileRow = localRow * rowPerThread;\n  let tileCol = i32(localId.x);\n\n  let globalRow =i32(globalId.y) * rowPerThread;\n  let globalCol = i32(globalId.x);\n  let batch = ${a?"0":"i32(globalId.z)"};\n  ${o?`let batchIndices = ${o.offsetToIndices("u32(batch)")};`:""}\n  let globalRowStart = i32(workgroupId.y) * ${p};\n\n  let num_tiles = ${a?`${Math.ceil(c/u)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};\n  var kStart = ${a?`i32(globalId.z) * ${c}`:"0"};\n\n  var acc: array<vec4<${r}>, rowPerThread>;\n\n  // Loop over shared dimension.\n  let tileRowB = localRow * ${_};\n  for (var t = 0; t < num_tiles; t = t + 1) {\n      // Load one tile of A into local memory.\n      for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n          let inputRow = tileRow + innerRow;\n          let inputCol = tileCol;\n          ${yc(i,o)}\n      }\n\n      // Load one tile of B into local memory.\n      for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) {\n          let inputRow = tileRowB + innerRow;\n          let inputCol = tileCol;\n          mm_Bsub[inputRow][inputCol] = mm_readB(batch, kStart + inputRow, globalCol${o?", batchIndices":""});\n      }\n      kStart = kStart + tileInner;\n      workgroupBarrier();\n\n      // Compute acc values for a single thread.\n      for (var k = 0; k < tileInner / innerElementSize; k = k + 1) {\n          let BCached0 = mm_Bsub[k * innerElementSize][tileCol];\n          let BCached1 = mm_Bsub[k * innerElementSize + 1][tileCol];\n          let BCached2 = mm_Bsub[k * innerElementSize + 2][tileCol];\n          ${w===3?"":"let BCached3 = mm_Bsub[k * innerElementSize + 3][tileCol];"}\n\n          ${bc(i,w)}\n      }\n\n      workgroupBarrier();\n  }\n\n  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);\n  }\n}`},Xs=(e,t)=>e?`\n            mm_Asub[inputRow][inputCol] = mm_readA(batch,\n              kStart + inputRow,\n              globalRowStart + inputCol${t?", batchIndices":""});\n            `:`\n            mm_Asub[inputRow][inputCol] = mm_readA(batch,\n              globalRowStart + inputRow,\n              kStart + inputCol${t?", batchIndices":""});\n            `,wc=e=>e?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",Lr=(e,t,r="f32",o,i=!1,u=32,a=!1,c=32,p=!1)=>{let h=e[1]*t[1],d=e[0]*t[0],y=i?h:u,w=i?u:h;if(!(w%t[1]===0&&y%t[0]===0&&u%t[1]===0))throw new Error(`tileAHight ${w} must be divisible by workgroupSize[1]${t[1]}, tileAWidth ${y} must be divisible by workgroupSize[0]${t[0]}, tileInner ${u} must be divisible by workgroupSize[1]${t[1]}`);let _=w/t[1],v=y/t[0],S=u/t[1],A=p?`\n    let localRow = i32(localId.y);\n    let localCol = i32(localId.x);\n    let globalRowStart = i32(workgroupId.y) * ${h};\n    let globalColStart = i32(workgroupId.x) * ${d};\n\n    // Loop over shared dimension.\n    for (var t = 0; t < num_tiles; t = t + 1) {\n      // Load one tile of A into local memory.\n      for (var inputRow = localRow; inputRow < ${w}; inputRow = inputRow + ${t[1]}) {\n        for (var inputCol = localCol; inputCol < ${y}; inputCol = inputCol + ${t[0]}) {\n          ${Xs(i,o)}\n        }\n      }\n      // Load one tile of B into local memory.\n      for (var inputRow = localRow; inputRow < ${u}; inputRow = inputRow + ${t[1]}) {\n            for (var inputCol = localCol; inputCol < ${d}; inputCol = inputCol + ${t[0]}) {\n          mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n            kStart + inputRow,\n            globalColStart + inputCol${o?", batchIndices":""});\n        }\n      }\n      kStart = kStart + tileInner;\n      workgroupBarrier();\n\n      // Compute acc values for a single thread.\n      var BCached : array<${r}, colPerThread>;\n      for (var k = 0; k < tileInner; k = k + 1) {\n        for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n          BCached[inner] = mm_Bsub[k][localCol + inner * ${t[0]}];\n        }\n        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n          let ACached = ${i?`mm_Asub[k][localRow + innerRow * ${t[1]}];`:`mm_Asub[localRow + innerRow * ${t[1]}][k];`}\n          for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n            acc[innerRow][innerCol] = acc[innerRow][innerCol] +\n                ACached * BCached[innerCol];\n          }\n        }\n      }\n      workgroupBarrier();\n    }\n    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      let gRow = globalRowStart + localRow + innerRow * ${t[1]};\n      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n        let gCol = globalColStart + localCol + innerCol * ${t[0]};\n        mm_write(batch, gRow, gCol, acc[innerRow][innerCol]);\n      }\n    }\n    `:`\nlet tileRow = i32(localId.y) * rowPerThread;\nlet tileCol = i32(localId.x) * colPerThread;\n\nlet globalRow = i32(globalId.y) * rowPerThread;\nlet globalCol = i32(globalId.x) * colPerThread;\nlet globalRowStart = i32(workgroupId.y) * ${h};\n\nlet tileRowA = i32(localId.y) * ${_};\nlet tileColA = i32(localId.x) * ${v};\nlet tileRowB = i32(localId.y) * ${S};\n// Loop over shared dimension.\nfor (var t = 0; t < num_tiles; t = t + 1) {\n  // Load one tile of A into local memory.\n  for (var innerRow = 0; innerRow < ${_}; innerRow = innerRow + 1) {\n    for (var innerCol = 0; innerCol < ${v}; innerCol = innerCol + 1) {\n      let inputRow = tileRowA + innerRow;\n      let inputCol = tileColA + innerCol;\n      ${Xs(i,o)}\n    }\n  }\n\n  // Load one tile of B into local memory.\n  for (var innerRow = 0; innerRow < ${S}; innerRow = innerRow + 1) {\n    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n      let inputRow = tileRowB + innerRow;\n      let inputCol = tileCol + innerCol;\n      mm_Bsub[inputRow][inputCol] = mm_readB(batch,\n        kStart + inputRow,\n        globalCol + innerCol${o?", batchIndices":""});\n    }\n  }\n  kStart = kStart + tileInner;\n  workgroupBarrier();\n\n  // Compute acc values for a single thread.\n  var BCached : array<${r}, colPerThread>;\n  for (var k = 0; k < tileInner; k = k + 1) {\n    for (var inner = 0; inner < colPerThread; inner = inner + 1) {\n      BCached[inner] = mm_Bsub[k][tileCol + inner];\n    }\n\n    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      ${wc(i)}\n      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n        acc[innerRow][innerCol] = acc[innerRow][innerCol] + ACached * BCached[innerCol];\n      }\n    }\n  }\n\n  workgroupBarrier();\n}\n\nfor (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n  for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n    mm_write(batch, globalRow + innerRow, globalCol + innerCol,\n        acc[innerRow][innerCol]);\n  }\n}\n`;return`\n  var<workgroup> mm_Asub : array<array<${r}, ${y}>, ${w}>;\n  var<workgroup> mm_Bsub : array<array<${r}, ${d}>, ${u}>;\n  const rowPerThread = ${e[1]};\n  const colPerThread = ${e[0]};\n  const tileInner = ${u};\n\n@compute @workgroup_size(${t[0]}, ${t[1]}, ${t[2]})\nfn main(@builtin(local_invocation_id) localId : vec3<u32>,\n        @builtin(global_invocation_id) globalId : vec3<u32>,\n        @builtin(workgroup_id) workgroupId : vec3<u32>) {\n    let batch = ${a?"0":"i32(globalId.z)"};\n    ${o?`let batchIndices = ${o.offsetToIndices("u32(batch)")};`:""}\n    let num_tiles = ${a?`${Math.ceil(c/u)}`:"(uniforms.dim_inner - 1) / tileInner + 1"};\n    var kStart = ${a?`i32(globalId.z) * ${c}`:"0"};\n\n    var acc : array<array<${r}, colPerThread>, rowPerThread>;\n\n    // Without this initialization strange values show up in acc.\n    for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {\n      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {\n        acc[innerRow][innerCol] = 0.0;\n      }\n    }\n    ${A}\n  }\n`},vc=(e,t,r,o,i,u=!1)=>{let[a,c,p]=i,[h,d,y,w]=o,_=_r(a,p),v=_r(c,p),S=De(o[0].type.tensor),A=()=>{let E=d.rank,P=h.rank,O=`var aIndices: ${d.type.indices};`;for(let R=E-2-1,L=P-1;R>=0;R--,L--)O+=`\naIndices[${R}] = ${P>1?`batchIndices[${L}]`:"batchIndices"};`;return _.forEach(R=>{O+=`\naIndices[${R}] = 0;`}),O+=`\naIndices[${E-2}] = u32(row);\n                   aIndices[${E-1}] = u32(colIn);`,O},I=()=>{let E=y.rank,P=h.rank,O=`var bIndices: ${y.type.indices};`;for(let R=E-2-1,L=P-1;R>=0;R--,L--)O+=`\nbIndices[${R}] = ${P>1?`batchIndices[${L}]`:"batchIndices"};`;return v.forEach(R=>{O+=`\nbIndices[${R}] = 0;`}),O+=`\nbIndices[${E-2}] = u32(row);\n                   bIndices[${E-1}] = u32(colIn);`,O};return`\n    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${h.type.indices}) -> ${tt(e,S)} {\n      var value = ${tt(e,S)}(0.0);\n      let col = colIn * ${e};\n      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)\n      {\n        ${A()}\n        value = ${d.getByIndices("aIndices")};\n      }\n      return value;\n    }\n\n    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${h.type.indices}) -> ${tt(e,S)} {\n      var value = ${tt(e,S)}(0.0);\n      let col = colIn * ${e};\n      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)\n      {\n        ${I()}\n        value = ${y.getByIndices("bIndices")};\n      }\n      return value;\n    }\n\n    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${tt(e,S)}) {\n      let col = colIn * ${e};\n      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {\n        var value = valueIn;\n        let coords = vec3<i32>(batch, row, colIn);\n        ${t?`value = value + ${u?"bias[colIn]":`${tt(e,S)}(bias[row])`};`:""}\n        ${r}\n        ${w.setByIndices("vec3<u32>(coords)","value")}\n      }\n    }\n    `},Un=(e,t,r,o,i=!1)=>{let u=e[0].dims,a=e[1].dims,c=u.slice(0,-2),p=a.slice(0,-2),h=o?o.slice(0,-2):r.slice(0,-2),d=M.size(h),y=u[u.length-2],w=u[u.length-1],_=a[a.length-1],v=w%4===0&&_%4===0,S=y<=8?[4,1,1]:[4,4,1],A=[8,8,1],I=[Math.ceil(_/A[0]/S[0]),Math.ceil(y/A[1]/S[1]),Math.ceil(d/A[2]/S[2])],x=v?4:1,E=[...c,y,w/x],P=E.length,O=[...p,w,_/x],R=O.length,L=[d,y,_/x],N=[{type:6,data:y},{type:6,data:_},{type:6,data:w}];xt(t,N),N.push(...Z(h,E,O));let K=["rank","rank"],Q=e.length>2;Q&&(N.push(...Z(e[2].dims)),K.push("rank")),N.push(...Z(L));let he=W=>{let se=h.length,Ce=An("batchDims",e[0].dataType,se,1),We=De(e[0].dataType),ee=U("a",e[0].dataType,P,x),ae=U("b",e[1].dataType,R,x),Ae=j("result",e[0].dataType,L.length,x),me=[ee,ae];if(Q){let G=i?x:1;me.push(U("bias",e[2].dataType,e[2].dims.length,G))}let ie=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Ct(t,ie);let ue=De(Ae.type.tensor),le=St(t,Ae.type.value,ue),qe=vc(x,Q,le,[Ce,ee,ae,Ae],[c,p,h],i);return`\n  ${W.registerUniforms(ie).registerInternalVariables(Ce).declareVariables(...me,Ae)}\n  ${qe}\n  ${v?Hr(S,A,We,Ce):Lr(S,A,We,Ce)}\n                   `};return{name:"MatMul",shaderCache:{hint:`${S};${t.activation};${v};${i}`,inputDependencies:K},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:I[0],y:I[1],z:I[2]},programUniforms:N}),getShaderSource:he}}});var $c,Qs,Js=Y(()=>{"use strict";ye();Lt();_e();Ft();zn();zo();Fr();$c=(e,t,r,o,i=!1,u,a=4,c=4,p=4,h="f32")=>{let d=Q=>{switch(Q){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${h}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${Q} is not supported.`)}},y=Q=>{switch(Q){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 ${Q} is not supported.`)}},w=e?`\n    let coord = vec4<i32>(batch, xRow, xCol, xCh);\n    `:`\n    let coord = vec4<i32>(batch, xCh, xRow, xCol);\n    `,_=e?`\n    let coords = vec4<i32>(\n      batch,\n      row / outWidth,\n      row % outWidth,\n      col);\n    `:`\n    let coords = vec4<i32>(\n      batch,\n      row,\n      col / outWidth,\n      col % outWidth);\n    `,v=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",S=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",A=e?"row":"col",I=e?"col":"row",x=`\n    let inChannels = i32(uniforms.w_shape[2]);\n    let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n    let outRow = ${A} / outWidth;\n    let outCol = ${A} % outWidth;\n\n    let WRow = ${I} / (i32(uniforms.w_shape[1]) * inChannels);\n    let WCol = ${I} / inChannels % i32(uniforms.w_shape[1]);\n    let xRow = outRow * uniforms.stride[0] + uniforms.dilation[0] * WRow - uniforms.pad[0];\n    let xCol = outCol * uniforms.stride[1] + uniforms.dilation[1] * WCol - uniforms.pad[1];\n    let xCh = ${I} % inChannels;\n    var resData = ${tt(a,h)}(0.0);\n    // The bounds checking is always needed since we use it to pad zero for\n    // the \'same\' padding type.\n    if (xRow >= 0 && xRow < ${v} && xCol >= 0 && xCol < ${S}) {\n      ${w}\n      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));\n      ${d(a)}\n    }\n    return resData;`,E=e?t&&o?`\n    let col = colIn * ${a};\n    ${x}`:`\n    let col = colIn * ${a};\n    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {\n      ${x}\n    }\n    return ${tt(a,h)}(0.0);`:o&&r?`\n    let col = colIn * ${a};\n    ${x}`:`\n    let col = colIn * ${a};\n    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {\n      ${x}\n    }\n    return ${tt(a,h)}(0.0);`,P=`${y(c)}`,O=tt(p,h),R=e?tt(a,h):tt(c,h),L=e?tt(c,h):tt(a,h),N=St(u,O,h);return`\n    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${R} {\n      ${e?E:P}\n    }\n\n    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${L} {\n      ${e?P:E}\n    }\n\n    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${O}) {\n      let col = colIn * ${p};\n      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)\n      {\n      var value = valueIn;\n      let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n      ${_}\n      ${Dn(i)}\n      ${N}\n      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);\n      }\n    }`},Qs=(e,t,r,o,i,u,a,c)=>{let p=t.format==="NHWC",h=p?e[0].dims[3]:e[0].dims[1],d=r[0],y=p?r[2]:r[3],w=p?r[1]:r[2],_=p?r[3]:r[1],v=p&&(h%4===0||h%3===0)&&_%4===0,S=p?_:y*w,A=p?y*w:_,I=[8,8,1],x=o<=8?[4,1,1]:[4,4,1],E=[Math.ceil(S/I[0]/x[0]),Math.ceil(A/I[1]/x[1]),Math.ceil(d/I[2]/x[2])];Ve("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${E}`);let P=v?p&&h%4!==0?3:4:1,O=I[1]*x[1],R=I[0]*x[0],L=Math.max(I[0]*P,I[1]),N=o%O===0,K=i%R===0,Q=u%L===0,he=v?[P,4,4]:[1,1,1],W=[{type:6,data:o},{type:6,data:i},{type:6,data:u},{type:6,data:[t.pads[0],t.pads[1]]},{type:6,data:t.strides},{type:6,data:t.dilations}];xt(t,W),W.push(...Z(e[0].dims,e[1].dims));let se=["rank","rank"];a&&(W.push(...Z(e[2].dims)),se.push("rank")),W.push(...Z(r));let Ce=We=>{let ee=[{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}];Ct(t,ee);let ae=v?4:1,Ae=De(e[0].dataType),me=`\n      fn setOutputAtIndex(flatIndex : i32, value : ${v?`vec4<${Ae}>`:Ae}) {\n        result[flatIndex] = ${v?`vec4<${Ae}>`:Ae}(value);\n      }\n      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${v?`vec4<${Ae}>`:Ae}) {\n        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));\n        setOutputAtIndex(flatIndex ${v?"/ 4":""}, value);\n      }`,ie=U("x",e[0].dataType,e[0].dims.length,P===3?1:P),ue=U("w",e[1].dataType,e[1].dims.length,ae),le=[ie,ue],qe=j("result",e[0].dataType,r.length,ae);if(a){let G=U("bias",e[2].dataType,e[2].dims.length,ae);le.push(G),me+=`\n        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${v?`vec4<${Ae}>`:Ae} {\n          return bias[coords.${p?"w":"y"}${v?"/ 4":""}];\n        }`}return`\n        ${Mn("uniforms.result_strides")}\n        //struct Uniforms { xShape : vec4<i32>, wShape : vec4<i32>, outShape : vec4<i32>,\n        //  outShapeStrides: vec3<i32>, filterDims : vec2<i32>, pad : vec2<i32>, stride : vec2<i32>,\n        //  dilation : vec2<i32>, dimAOuter : i32, dimBOuter : i32, dimInner : i32 };\n        ${We.registerUniforms(ee).declareVariables(...le,qe)}\n        ${me}\n        ${$c(p,N,K,Q,a,t,he[0],he[1],he[2],Ae)}\n        ${v?Hr(x,I,Ae,void 0,!p,L):Lr(x,I,Ae,void 0,!p,L,!1,void 0,c)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${t.cacheKey};${P};${v};${N};${K};${Q};${O};${R};${L}`,inputDependencies:se},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:E[0],y:E[1],z:E[2]},programUniforms:W}),getShaderSource:Ce}}});var Mo,eu,tu=Y(()=>{"use strict";ye();Se();_e();Uo();Ft();Mo=(e,t,r)=>{let o=e.length>2,i=o?"value += b[output_channel];":"",u=e[0].dims,a=e[1].dims,c=a[0]/t.group,p=t.format==="NHWC",h=Vn(u,a,t.dilations,t.pads,t.strides,p),d=M.size(h),y=[{type:12,data:d},{type:12,data:t.dilations},{type:12,data:[t.strides[0],t.strides[1]]},{type:12,data:[t.pads[0],t.pads[1]]},{type:12,data:c}];xt(t,y),y.push(...Z(u,a));let w=["rank","rank"];o&&(y.push(...Z(e[2].dims)),w.push("rank")),y.push(...Z(h));let _=v=>{let S=j("output",e[0].dataType,h.length),A=De(S.type.tensor),I=St(t,S.type.value,A),x=U("x",e[0].dataType,u.length),E=U("w",e[1].dataType,a.length),P=[x,E];o&&P.push(U("b",e[2].dataType,e[2].dims.length));let O=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:t.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];return Ct(t,O),`\n  ${v.registerUniforms(O).declareVariables(...P,S)}\n\n  ${v.mainStart()}\n    ${v.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n    let outputIndices = ${S.offsetToIndices("global_idx")};\n    let batch: u32 = outputIndices[0];\n    let output_channel: u32 = outputIndices[${p?3:1}];\n    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${p?1:2}], outputIndices[${p?2:3}]) * uniforms.strides - uniforms.pads;\n    let group_id: u32 = output_channel / uniforms.output_channels_per_group;\n\n    var value: ${S.type.value} = ${S.type.value}(0);\n    for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {\n      let input_channel = group_id * uniforms.w_shape[1] + wInChannel;\n      for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {\n        let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];\n\n        if (xHeight < 0u || xHeight >= uniforms.x_shape[${p?1:2}]) {\n          continue;\n        }\n\n        for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {\n          let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];\n          if (xWidth < 0u || xWidth >= uniforms.x_shape[${p?2:3}]) {\n            continue;\n          }\n\n          let xVal = ${p?x.get("batch","xHeight","xWidth","input_channel"):x.get("batch","input_channel","xHeight","xWidth")};\n          let wVal = ${E.get("output_channel","wInChannel","wHeight","wWidth")};\n          value += xVal*wVal;\n        }\n      }\n    }\n    ${i}\n    ${I}\n    ${S.setByOffset("global_idx","value")}\n  }`};return{name:"GroupedConv",shaderCache:{hint:t.cacheKey,inputDependencies:w},getRunData:()=>({outputs:[{dims:r?r(h):h,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(d/64)},programUniforms:y}),getShaderSource:_}},eu=(e,t,r)=>{let o=e.length>2,i=Me(r[3]),u=Me(r[2]),a=M.size(r)/i/u,c=[e[0].dims[0],e[0].dims[1],e[0].dims[2],e[0].dims[3]/i],p=[e[1].dims[0],e[1].dims[1],e[1].dims[2],e[1].dims[3]/i],h=[r[0],r[1],r[2],r[3]/i],d=[{type:12,data:a},{type:6,data:[t.strides[0],t.strides[1]]},{type:6,data:[t.pads[0],t.pads[1]]}];xt(t,d),d.push(...Z(c,p,h));let y=(u-1)*t.strides[1]+p[1],w=_=>{let v=j("output",e[0].dataType,h.length,i),S=De(v.type.tensor),A=St(t,v.type.value,S),I=U("x",e[0].dataType,c.length,i),x=U("w",e[1].dataType,p.length,i),E=[I,x];o&&E.push(U("b",e[2].dataType,e[2].dims,i));let P=o?"value += b[output_channel];":"",O=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Ct(t,O),`\n  ${_.registerUniforms(O).declareVariables(...E,v)}\n  ${_.mainStart()}\n    ${_.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n    let width0 = uniforms.output_shape[3];\n    let output_channel = global_idx % width0;\n    var index1 = global_idx / width0;\n    let width1 = uniforms.output_shape[2] / ${u}u;\n    let col = (index1 % width1) * ${u}u;\n    index1 = index1 / width1;\n    let row = index1 % uniforms.output_shape[1];\n    let batch = index1 / uniforms.output_shape[1];\n\n    let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;\n\n    var x_vals: array<${I.type.value}, ${y}>;\n    var values: array<${v.type.value}, ${u}>;\n    let input_channel = output_channel;\n    // Use constant instead of uniform can give better performance for w\'s height/width.\n    for (var w_height: u32 = 0u; w_height < ${p[0]}; w_height++) {\n      let x_height = x_corner.x + i32(w_height);\n      if (x_height >= 0 && u32(x_height) < uniforms.x_shape[1]) {\n        for (var i = 0; i < ${y}; i++) {\n          let x_width = x_corner.y + i;\n          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {\n            x_vals[i] = ${I.get("batch","u32(x_height)","u32(x_width)","input_channel")};\n          } else {\n            x_vals[i] = ${I.type.value}(0);\n          }\n        }\n        for (var w_width: u32 = 0u; w_width < ${p[1]}; w_width++) {\n          let w_val = ${x.get("w_height","w_width","0","output_channel")};\n          for (var i = 0u; i < ${u}u; i++) {\n            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);\n          }\n        }\n      }\n    }\n\n    for (var i = 0u; i < ${u}u; i++) {\n      var value = values[i];\n      ${P}\n      ${A}\n      ${v.set("batch","row","col + i","output_channel","value")};\n    }\n  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${t.cacheKey};${i};${u};${y};${p[0]};${p[1]}`,inputDependencies:o?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:d}),getShaderSource:w}}});var Vo,_c,ru,Wo=Y(()=>{"use strict";ye();Se();Fr();_e();Ft();Vo=(e,t,r,o,i=!1)=>{let u=e[0].dims,a=e[1].dims,c=u[u.length-2],p=a[a.length-1],h=u[u.length-1],d=Me(p),y=Me(h),w=Me(c),_=M.size(r)/d/w,v=e.length>2,S=o?o.slice(0,-2):r.slice(0,-2),I=[M.size(S),c,p],x=[{type:12,data:_},{type:12,data:c},{type:12,data:p},{type:12,data:h}];xt(t,x),x.push(...Z(S,u,a)),v&&x.push(...Z(e[2].dims)),x.push(...Z(I));let E=P=>{let O=An("batch_dims",e[0].dataType,S.length),R=U("a",e[0].dataType,u.length,y),L=U("b",e[1].dataType,a.length,d),N=j("output",e[0].dataType,I.length,d),K=De(N.type.tensor),Q=St(t,N.type.value,K),he=[R,L],W="";if(v){let ie=i?d:1;he.push(U("bias",e[2].dataType,e[2].dims.length,ie)),W=`${i?`value += bias[col / ${ie}];`:`value += ${N.type.value}(bias[row + i]);`}`}let se=u.slice(0,-2),Ce=a.slice(0,-2),We=_r(se,S),ee=_r(Ce,S),ae=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Ct(t,ae);let Ae=(ie,ue)=>{let le=ie.rank,qe=ie.name;if(le===2)return`var ${qe}_indices = ${ie.type.indices}(0u, 0u);`;let G=O.rank,ne=`var ${qe}_indices: ${ie.type.indices};`;for(let xe=le-2-1,Ke=G-1;xe>=0;xe--,Ke--)ne+=`\n${qe}_indices[${xe}] = ${G>1?`batch_indices[${Ke}]`:"batch_indices"};`;return ue.forEach(xe=>{ne+=`\n${qe}_indices[${xe}] = 0;`}),ne+=`${qe}_indices[${le-2}] = 0u;\n                     ${qe}_indices[${le-1}] = 0u;`,ne},me=()=>{let ie=`var a_data: ${R.type.value};`;for(let ue=0;ue<y;ue++)ie+=`\n              let b_data${ue} = b[(b_offset + (k + ${ue}) * uniforms.N + col) / ${d}];`;for(let ue=0;ue<w;ue++){ie+=`a_data = a[(a_offset + (row + ${ue}) * uniforms.K + k) / ${y}];`;for(let le=0;le<y;le++)ie+=`\n            values[${ue}] = fma(${L.type.value}(a_data${y===1?"":`[${le}]`}), b_data${le}, values[${ue}]);\n`}return ie};return`\n  ${P.registerUniforms(ae).registerInternalVariables(O).declareVariables(...he,N)}\n  ${P.mainStart()}\n    ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n    let col = (global_idx % (uniforms.N / ${d})) * ${d};\n    var index1 = global_idx / (uniforms.N / ${d});\n    let stride1 = uniforms.M / ${w};\n    let row = (index1 % stride1) * ${w};\n    let batch = index1 / stride1;\n\n    ${r.length===2?"":`let batch_indices = ${O.offsetToIndices("batch")};`}\n    ${Ae(R,We)}\n    let a_offset = ${R.indicesToOffset("a_indices")};\n    ${Ae(L,ee)}\n    let b_offset = ${L.indicesToOffset("b_indices")};\n    var values: array<${N.type.value}, ${w}>;\n    for (var k: u32 = 0u; k < uniforms.K; k = k + ${y}) {\n      ${me()}\n    }\n    for (var i = 0u; i < ${w}u; i++) {\n      var value = values[i];\n      ${W}\n      ${Q}\n      let cur_indices = ${N.type.indices}(batch, row + i, col);\n      let offset = ${N.indicesToOffset("cur_indices")};\n      ${N.setByOffset(`offset / ${d}`,"value")};\n    }\n  }\n  `};return{name:"MatMulNaive",shaderCache:{hint:`${t.activation};${d};${y};${w};${i}`,inputDependencies:v?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:x}),getShaderSource:E}},_c=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.")},ru=e=>{_c(e.inputs);let t=It.calcShape(e.inputs[0].dims,e.inputs[1].dims,!0);if(!t)throw new Error("Can\'t use matmul on the given tensors");let r=t[t.length-1],o=e.inputs[0].dims[e.inputs[0].dims.length-1];r<8&&o<8?e.compute(Vo(e.inputs,{activation:""},t)):e.compute(Un(e.inputs,{activation:""},t))}});var Vn,No,Sc,nu,Go,xc,Cc,Ho,Uo=Y(()=>{"use strict";Se();Js();Fr();tu();Ft();Wo();Sr();Vn=(e,t,r,o,i,u)=>{let a=e[0],c=e.slice(u?1:2,u?3:4),p=c.length,h=t[0],y=t.slice(2).map((v,S)=>v+(v-1)*(r[S]-1)),_=c.map((v,S)=>v+o[S]+o[S+p]).map((v,S)=>Math.floor((v-y[S]+i[S])/i[S]));return _.splice(0,0,a),_.splice(u?3:1,0,h),_},No=[2,3,1,0],Sc=(e,t)=>{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 conv 1D and 2D");if(e[0].dims.length!==e[1].dims.length)throw new Error("filter does not have same dimension as input");let r=e[0].dims[t.format==="NHWC"?e[0].dims.length-1:1],o=e[1].dims[1]*t.group;if(r!==o)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(t.dilations.length!==i)throw new Error(`dilations should be ${i}D`);if(t.strides.length!==i)throw new Error(`strides should be ${i}D`);if(t.pads.length!==i*2)throw new Error(`pads should be ${i*2}D`);if(t.kernelShape.length!==0&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape")},nu=(e,t)=>{let r=e.kernelShape.slice();for(let u=2;u<t[1].dims.length;++u)r[u-2]===0&&(r[u-2]=t[1].dims[u]);let o=e.pads.slice();nr.adjustPadsBasedOnAutoPad(t[0].dims,e.strides,e.dilations,r,o,e.format==="NHWC",e.autoPad);let i=Object.assign({},e);return Object.assign(i,{kernelShape:r,pads:o}),i},Go=e=>{let t=Bn(e),r=e.format,o=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][e.auto_pad],i=e.dilations,u=e.group,a=e.kernel_shape,c=e.pads,p=e.strides,h=e.w_is_const();return{autoPad:o,format:r,dilations:i,group:u,kernelShape:a,pads:c,strides:p,wIsConst:h,...t,cacheKey:`${e.format};${t.activation};`}},xc=(e,t,r)=>{let o=nu(r,t),i=r.format==="NHWC";if(r.group!==1){if(!e.adapterInfo.isArchitecture("ampere")&&i&&t[1].dims[0]===r.group&&t[1].dims[1]===1&&r.dilations[0]===1&&r.dilations[1]===1){let L=Vn(t[0].dims,t[1].dims,r.dilations,o.pads,r.strides,i),N=e.kernelCustomData.wT??e.compute(yt(t[1],No),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=N);let K=[t[0],N];t.length===3&&K.push(t[2]),e.compute(eu(K,o,L),{inputs:K})}else e.compute(Mo(t,o));return}let u=t.length===3,a=t[0].dims[i?1:2],c=t[0].dims[i?2:3],p=t[0].dims[i?3:1],h=t[1].dims[2],d=t[1].dims[3],y=Vn(t[0].dims,t[1].dims,r.dilations,o.pads,r.strides,i),w=y[i?1:2],_=y[i?2:3],v=y[i?3:1],S=i&&h===a&&d===c&&r.pads[0]===0&&r.pads[1]===0;if(S||h===1&&d===1&&r.dilations[0]===1&&r.dilations[1]===1&&r.strides[0]===1&&r.strides[1]===1&&r.pads[0]===0&&r.pads[1]===0){let R=y[0],L,N,K,Q=[];if(i){let se=e.kernelCustomData.wT??e.compute(yt(t[1],No),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];if(r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=se),S){let Ce=a*c*p;L=t[0].reshape([1,R,Ce]),N=se.reshape([1,Ce,v]),K=[1,R,v]}else L=t[0].reshape([R,a*c,p]),N=se.reshape([1,p,v]),K=[R,w*_,v];Q.push(L),Q.push(N)}else L=t[0].reshape([R,p,a*c]),N=t[1].reshape([1,v,p]),K=[R,v,w*_],Q.push(N),Q.push(L);u&&Q.push(t[2]);let he=K[2],W=Q[0].dims[Q[0].dims.length-1];he<8&&W<8?e.compute(Vo(Q,o,y,K,i),{inputs:Q}):e.compute(Un(Q,o,y,K,i),{inputs:Q});return}let A=!0,I=e.kernelCustomData.wT??e.compute(yt(t[1],No),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=I);let x=[t[0],I];u&&x.push(t[2]);let E=i?w*_:v,P=i?v:w*_,O=h*d*p;e.compute(Qs(x,o,y,E,P,O,u,A),{inputs:x})},Cc=(e,t)=>{let r=t.format==="NHWC",o=[e.inputs[0].reshape(r?[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&&o.push(e.inputs[2]);let i=[0,t.pads[0],0,t.pads[1]],u=[1].concat(t.strides),a=[1].concat(t.dilations),c=[1].concat(t.kernelShape),p=nu({...t,pads:i,strides:u,dilations:a,kernelShape:c},o);e.compute(Mo(o,p,h=>r?[h[0],h[2],h[3]]:[]))},Ho=(e,t)=>{Sc(e.inputs,t),e.inputs[0].dims.length===3?Cc(e,t):xc(e,e.inputs,t)}});var Ac,ou,iu=Y(()=>{"use strict";ye();Lt();_e();Ft();zn();zo();Fr();Ac=(e,t=!1,r,o,i=4)=>{let u=I=>{switch(I){case 1:return"return w[getIndexFromCoords4D(coord, vec4<i32>(uniforms.w_shape))];";case 4:return`\n            let coord1 = vec4<i32>(coordX, coordY, col + 1, rowInner);\n            let coord2 = vec4<i32>(coordX, coordY, col + 2, rowInner);\n            let coord3 = vec4<i32>(coordX, coordY, col + 3, rowInner);\n            let v0 = w[getIndexFromCoords4D(coord, vec4<i32>(uniforms.w_shape))];\n            let v1 = w[getIndexFromCoords4D(coord1, vec4<i32>(uniforms.w_shape))];\n            let v2 = w[getIndexFromCoords4D(coord2, vec4<i32>(uniforms.w_shape))];\n            let v3 = w[getIndexFromCoords4D(coord3, vec4<i32>(uniforms.w_shape))];\n            return ${o}(v0, v1, v2, v3);\n            `;default:throw new Error(`innerElementSize ${I} is not supported.`)}},a=e?`\n      let coord = vec4<i32>(batch, iXR, iXC, xCh);\n      `:`\n      let coord = vec4<i32>(batch, xCh, iXR, iXC);\n      `,c=e?`\n    let coords = vec4<i32>(\n      batch,\n      row / outWidth,\n      row % outWidth,\n      col);\n    `:`\n    let coords = vec4<i32>(\n      batch,\n      row,\n      col / outWidth,\n      col % outWidth);\n    `,p=e?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",h=e?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",d=e?"row":"col",y=e?"col":"row",w=`\n      let inChannels = ${e?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};\n      let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n      let outRow = ${d} / outWidth;\n      let outCol = ${d} % outWidth;\n\n      let WRow = ${y} / (uniforms.filter_dims[1] * inChannels);\n      let WCol = ${y} / inChannels % uniforms.filter_dims[1];\n      let xR = f32(outRow - uniforms.pads[0] + uniforms.dilations[0] * WRow) / f32(uniforms.strides[0]);\n      let xC = f32(outCol - uniforms.pads[1] + uniforms.dilations[1] * WCol) / f32(uniforms.strides[1]);\n      if (xR < 0.0 || xR >= f32(${p}) || fract(xR) > 0.0) {\n        return ${o}(0.0);\n      }\n      if (xC < 0.0 || xC >= f32(${h}) || fract(xC) > 0.0) {\n        return ${o}(0.0);\n      }\n      let iXR = i32(xR);\n      let iXC = i32(xC);\n      let xCh = ${y} % inChannels;\n      ${a}\n      return x[getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape))/${i}];`,_=e?`\n      let col = colIn * ${i};\n      if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {\n        ${w}\n      }\n      return ${o}(0.0);`:`\n      let col = colIn * ${i};\n      if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {\n        ${w}\n      }\n      return ${o}(0.0);`,v=`\n      let col = colIn * ${i};\n      let inChannels = ${e?"i32(uniforms.x_shape[3])":"i32(uniforms.x_shape[1])"};\n      let coordX = uniforms.filter_dims[0] - 1 - row / (uniforms.filter_dims[1] * inChannels);\n      let coordY = uniforms.filter_dims[1] - 1 - (row / inChannels) % uniforms.filter_dims[1];\n      if (${e?"row < uniforms.dim_inner && col < uniforms.dim_b_outer":"row < uniforms.dim_inner && col < uniforms.dim_a_outer"}  && coordX >= 0 && coordY >= 0) {\n        let rowInner = row % inChannels;\n        let coord = vec4<i32>(coordX, coordY, col, rowInner);\n        ${u(i)}\n      }\n      return ${o}(0.0);\n      `,S=St(r,o);return`\n  fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${o} {\n    ${e?_:v}\n  }\n\n  fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${o} {\n    ${e?v:_}\n  }\n\n  fn mm_write(batch: i32, row : i32, colIn : i32, valueInput : ${o}) {\n    let col = colIn * ${i};\n    if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {\n      var value = valueInput;\n      let outWidth = ${e?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};\n      ${c}\n      ${Dn(t)}\n      ${S}\n      result[getIndexFromCoords4D(coords, vec4<i32>(uniforms.result_shape))/${i}] = value;\n    }\n  }`},ou=(e,t,r,o,i,u,a,c)=>{let p=t.format==="NHWC",h=p?e[0].dims[3]:e[0].dims[1],d=r[0],y=p?r[2]:r[3],w=p?r[1]:r[2],_=p?r[3]:r[1],v=p&&h%4===0&&h%3&&_%4===0,S=p?_:y*w,A=p?y*w:_,I=[8,8,1],x=o<=8?[4,1,1]:[4,4,1],E=[Math.ceil(S/I[0]/x[0]),Math.ceil(A/I[1]/x[1]),Math.ceil(d/I[2]/x[2])];Ve("verbose",()=>`[conv_backprop_mm_webgpu] dispatch = ${E}`);let P=v?4:1,O=Math.max(I[0]*P,I[1]),R=v?4:1,L=[t.kernelShape[p?1:2],t.kernelShape[p?2:3]],N=[L[0]+(t.dilations[0]<=1?0:(L[0]-1)*(t.dilations[0]-1)),L[1]+(t.dilations[1]<=1?0:(L[1]-1)*(t.dilations[1]-1))],K=[N[0]-1-Math.floor((t.pads[0]+t.pads[2])/2),N[1]-1-Math.floor((t.pads[1]+t.pads[3])/2)],Q=[{type:6,data:o},{type:6,data:i},{type:6,data:u},{type:6,data:t.strides},{type:6,data:t.dilations},{type:6,data:L},{type:6,data:K}];xt(t,Q),Q.push(...Z(e[0].dims,e[1].dims));let he=["rank","rank"];a&&(Q.push(...Z(e[2].dims)),he.push("rank")),Q.push(...Z(r));let W=se=>{let Ce=U("x",e[0].dataType,e[0].dims.length,R),We=U("w",e[1].dataType,e[1].dims.length,1),ee=j("result",e[0].dataType,r.length,R),ae=[Ce,We],Ae="";if(a){let ue=U("bias",e[2].dataType,e[2].dims.length,R);ae.push(ue),Ae+=`\n          fn getBiasByOutputCoords(coords : vec4<i32>) -> ${ue.type.value} {\n            return bias[coords.${p?"w":"y"}${v?"/ 4":""}];\n          }`}let me=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"},{name:"strides",type:"i32",length:2},{name:"dilations",type:"i32",length:2},{name:"filter_dims",type:"i32",length:L.length},{name:"pads",type:"i32",length:K.length}];Ct(t,me);let ie=De(e[0].dataType,1);if(ie!=="f16"&&ie!=="f32")throw new Error(`elemType ${ie} is not supported.`);return`\n        ${Mn("uniforms.result_strides")}\n        ${se.registerUniforms(me).declareVariables(...ae,ee)};\n        ${Ae}\n        ${Ac(p,a,t,Ce.type.value,P)}\n        ${v?Hr(x,I,ie,void 0,!p,O):Lr(x,I,ie,void 0,!p,O,!1,void 0,c)}`};return{name:"Conv2DTransposeMatMul",shaderCache:{hint:`${t.cacheKey};${x};${I};${v}`,inputDependencies:he},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:E[0],y:E[1],z:E[2]},programUniforms:Q}),getShaderSource:W}}});var Ic,Lo,au=Y(()=>{"use strict";ye();Lt();Se();_e();Ic=(e,t,r,o,i,u=!1,a,c,p=!1)=>{let h=p?1:2,d=p?2:3,y=p?3:1,w=u?2:1,_=`\n  fn setOutputAtIndex(flatIndex : u32, value : ${u?`vec4<${a}>`:a}) {\n    result[flatIndex] = ${u?`vec4<${a}>`:a}(value);\n  }`;o&&(_+=`\n    fn getBiasByOutputCoords(coords : vec4<u32>) -> ${u?`vec4<${a}>`:a} {\n      return bias[coords.${p?"w":"y"}${u?"/ 4":""}];\n    }`);let v=u?4:1,S=U("W",t[1].dataType,t[1].dims.length,v),A=U("Dy",t[0].dataType,t[0].dims.length,v),I=[A,S];o&&I.push(U("bias",t[2].dataType,[r[y]].length,v));let x=j("result",t[0].dataType,r.length,v),E=`{\n        let batch: u32 = ${i?"global_id.z":"workgroup_id.z"} / uniforms.result_shape[1];\n        let r = ${i?"global_id.z":"workgroup_id.z"} % uniforms.result_shape[1];\n        let c = ${i?"global_id.y":"workgroup_id.y"} * ${w};\n        let d1: u32 = ${i?"global_id.x":"workgroup_id.x"} * 4;\n\n        let dyCorner = vec2<i32>(i32(r), i32(c)) - vec2<i32>(uniforms.pads);\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        var dotProd: array<vec4<${a}>, ${w}>;\n        for (var i = 0; i < ${w}; i++) {\n          dotProd[i] = vec4<${a}>(0.0);\n        }\n        for (var wR: u32 = 0; wR < uniforms.filter_dims[0]; wR = wR + 1) {\n          var dyR = (${a}(dyCorner.x) + ${a}(wR)) / ${a}(uniforms.strides.x);\n          let wRPerm = uniforms.filter_dims[0] - 1 - wR;\n          if (dyR < 0.0 || dyR >= ${a}(uniforms.Dy_shape[1]) ||\n              fract(dyR) > 0.0 || wRPerm < 0) {\n            continue;\n          }\n          let idyR: u32 = u32(dyR);\n\n          for (var wC: u32 = 0; wC < uniforms.filter_dims[1]; wC = wC + 1) {\n            let dyC = (${a}(dyCorner.y) + ${a}(wC)) / ${a}(uniforms.strides.y);\n            let dyC2 = (${a}(dyCorner.y) + 1.0 + ${a}(wC)) / ${a}(uniforms.strides.y);\n            let wCPerm = uniforms.filter_dims[1] - 1 - wC;\n            if (wCPerm < 0) {\n              continue;\n            }\n            var bDyCVal = true;\n            var bDyCVal2 = true;\n            if (dyC < 0.0 || dyC >= ${a}(uniforms.Dy_shape[2]) ||\n                fract(dyC) > 0.0) {\n              bDyCVal = false;\n            }\n            if (dyC2 < 0.0 || dyC2 >= ${a}(uniforms.Dy_shape[2]) ||\n                fract(dyC2) > 0.0) {\n              bDyCVal2 = false;\n            }\n\n            let idyC: u32 = u32(dyC);\n            let idyC2: u32 = u32(dyC2);\n            if (bDyCVal && bDyCVal2) {\n              let d2Length = uniforms.Dy_shape[3];\n              for (var d2 :u32 = 0; d2 < d2Length; d2 = d2 + 4) {\n                let wValue0 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};\n                let wValue1 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};\n                let wValue2 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};\n                let wValue3 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};\n\n                var xValue = ${A.get("batch","idyR","idyC","d2")};\n                let tmpval = vec4<${a}>(dot(xValue, wValue0),\n                                      dot(xValue, wValue1),\n                                      dot(xValue, wValue2),\n                                      dot(xValue, wValue3));\n                dotProd[0] = dotProd[0] + tmpval;\n\n                xValue =  ${A.get("batch","idyR","idyC2","d2")};\n\n                dotProd[1] = dotProd[1] + vec4<${a}>(dot(xValue, wValue0),\n                                                    dot(xValue, wValue1),\n                                                    dot(xValue, wValue2),\n                                                    dot(xValue, wValue3));\n              }\n            } else if (bDyCVal) {\n              let d2Length = uniforms.Dy_shape[${y}];\n              for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {\n                let wValue0 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};\n                let wValue1 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};\n                let wValue2 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};\n                let wValue3 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};\n\n                var xValue = ${A.get("batch","idyR","idyC","d2")};\n                let tmpval = vec4<${a}>(dot(xValue, wValue0),\n                                      dot(xValue, wValue1),\n                                      dot(xValue, wValue2),\n                                      dot(xValue, wValue3));\n                dotProd[0] = dotProd[0] + tmpval;\n              }\n            } else if (bDyCVal2) {\n              let d2Length = uniforms.Dy_shape[3];\n              for (var d2: u32 = 0; d2 < d2Length; d2 = d2 + 4) {\n                let wValue0 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1","d2")};\n                let wValue1 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 1","d2")};\n                let wValue2 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 2","d2")};\n                let wValue3 = ${S.get("u32(wRPerm)","u32(wCPerm)","d1 + 3","d2")};\n\n                var xValue = ${A.get("batch","idyR","idyC2","d2")};\n                let tmpval = vec4<${a}>(dot(xValue, wValue0),\n                                      dot(xValue, wValue1),\n                                      dot(xValue, wValue2),\n                                      dot(xValue, wValue3));\n                dotProd[1] = dotProd[1] + tmpval;\n              }\n            }\n          }\n        }\n\n        for (var i: u32 = 0; i < ${w}; i = i + 1) {\n          let value = dotProd[i] + ${o?"bias[c+i]":`vec4<${a}>(0.0)`};\n          ${x.set("batch","r","c + i","d1","value")};\n        }\n      }`,P=`\n          let outputIndices = ${x.offsetToIndices("global_idx")};\n          let batch = ${x.indicesGet("outputIndices",0)};\n          let d1 = ${x.indicesGet("outputIndices",y)};\n          let r = ${x.indicesGet("outputIndices",h)};\n          let c = ${x.indicesGet("outputIndices",d)};\n          let dyCorner = vec2<i32>(i32(r), i32(c)) - uniforms.pads;\n          let dyRCorner = dyCorner.x;\n          let dyCCorner = dyCorner.y;\n          let groupId = d1 / uniforms.output_channels_per_group;\n          let wOutChannel = d1 - groupId * uniforms.output_channels_per_group;\n          // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n          // ? = to be determined. : = across all values in that axis.\n          var dotProd = ${a}(0.0);\n          for (var wR: u32 = 0; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {\n            if (wR % uniforms.dilations.x != 0) {\n              continue;\n            }\n            let dyR = (${a}(dyRCorner) + ${a}(wR)) / ${a}(uniforms.strides[0]);\n            let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;\n            if (dyR < 0.0 || dyR >= ${a}(uniforms.Dy_shape[${h}]) || fract(dyR) > 0.0 ||\n                wRPerm < 0) {\n              continue;\n            }\n            let idyR: u32 = u32(dyR);\n\n            for (var wC: u32 = 0; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {\n              if (wC % uniforms.dilations.y != 0) {\n                continue;\n              }\n              let dyC = (${a}(dyCCorner) + ${a}(wC)) / ${a}(uniforms.strides.y);\n              let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;\n              if (dyC < 0.0 || dyC >= ${a}(uniforms.Dy_shape[${d}]) ||\n                  fract(dyC) > 0.0 || wCPerm < 0) {\n                continue;\n              }\n              let idyC: u32 = u32(dyC);\n              var inputChannel = groupId * uniforms.input_channels_per_group;\n              for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group; d2 = d2 + 1) {\n                let xValue = ${p?A.get("batch","idyR","idyC","inputChannel"):A.get("batch","inputChannel","idyR","idyC")};\n                let wValue = ${S.get("inputChannel","wOutChannel","u32(wRPerm)","u32(wCPerm)")};\n                dotProd = dotProd + xValue * wValue;\n                inputChannel = inputChannel + 1;\n              }\n            }\n          }\n          let value = dotProd + ${o?"bias[d1]":`${a}(0.0)`};\n          ${x.setByOffset("global_idx","value")};\n        `;return`\n  ${e.registerUniforms(c).declareVariables(...I,x)}\n  ${_}\n\n    ${e.mainStart()}\n    ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};\n  ${u?E:P}}`},Lo=(e,t,r)=>{let o=e.length>2,i=t.outputShape,u=M.size(i),a=[Math.ceil(u/64),1,1];Ve("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${a}`);let c=t.format==="NHWC",p=["rank","rank"],h=[t.strides[0],t.strides[1]],d=[t.kernelShape[c?1:2],t.kernelShape[c?2:3]],y=[t.dilations[0],t.dilations[1]],w=[d[0]+(t.dilations[0]<=1?0:(t.kernelShape[c?1:2]-1)*(t.dilations[0]-1)),d[1]+(t.dilations[1]<=1?0:(t.kernelShape[c?2:3]-1)*(t.dilations[1]-1))],_=[w[0]-1-Math.floor((t.pads[0]+t.pads[2])/2),w[1]-1-Math.floor(t.pads[1]+t.pads[3])/2],v=!1,S=t.group,A=e[1].dims,I=A[0]/S,x=A[1],E=[{type:12,data:u},{type:12,data:h},{type:12,data:d},{type:12,data:y},{type:12,data:w},{type:6,data:_},{type:12,data:I},{type:12,data:x},...Z(e[0].dims,e[1].dims)];o&&(E.push(...Z(e[2].dims)),p.push("rank")),E.push(...Z(i));let P=a[1]===1&&a[2]===1,O=R=>{let L=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:h.length},{name:"filter_dims",type:"u32",length:d.length},{name:"dilations",type:"u32",length:d.length},{name:"effective_filter_dims",type:"u32",length:w.length},{name:"pads",type:"i32",length:_.length},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],N=De(e[0].dataType);return`${Ic(R,e,i,o,P,v,N,L,c)}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${t.cacheKey};`,inputDependencies:p},getRunData:()=>({dispatchGroup:{x:a[0],y:a[1],z:a[2]},outputs:[{dims:r?r(i):i,dataType:e[0].dataType}],programUniforms:E}),getShaderSource:O}}});var Tc,Ec,Pc,su,uu,kc,Oc,Rc,Bc,du,lu=Y(()=>{"use strict";iu();au();Ft();Sr();Tc=(e,t,r,o,i,u)=>(e-1)*t+r+(o-1)*i+1-u,Ec=(e,t,r,o,i)=>{let u=Math.floor(e/2);t==="SAME_UPPER"?(r[o]=u,r[i]=e-u):t==="SAME_LOWER"&&(r[o]=e-u,r[i]=u)},Pc=(e,t,r,o,i,u,a,c,p,h)=>{let d=e.length-2,y=h.length===0;if(p.length===0)for(let v=0;v<d;++v)p.push(0);let w=e[0],_=t[c?3:1]*i;for(let v=0,S=e.length-d-(c?1:0);v<d;++v,++S){let A=e[S],I=y?A*a[v]:h[v],x=Tc(A,a[v],u[v],t[S],r[v],I);Ec(x,o,u,v,v+d),y&&h.push(a[v]*(A-1)+p[v]+(t[S]-1)*r[v]+1-u[v]-u[v+d])}h.splice(0,0,w),h.splice(c?3:1,0,_)},su=(e,t)=>{let r=e.kernelShape.slice();if(e.kernelShape.length===0||e.kernelShape.reduce((y,w)=>y*w,1)===0){r.length=0;for(let y=2;y<t[1].dims.length;++y)r.push(t[1].dims[y])}let o=e.format==="NHWC";r.splice(0,0,t[1].dims[0]),r.splice(o?3:1,0,t[1].dims[1]);let i=e.pads.slice(),u=e.outputShape.slice(),a=e.outputPadding.slice(),c=t[0].dims,p=e.dilations.slice();if(p.reduce((y,w)=>y+w,0)===0){let y=t[0].dims.length-2;p=new Array(y).fill(1)}let h=e.strides.slice();if(h.reduce((y,w)=>y+w,0)===0){let y=t[0].dims.length-2;h=new Array(y).fill(1)}Pc(c,r,p,e.autoPad,e.group,i,h,o,a,u);let d=Object.assign({},e);return Object.assign(d,{kernelShape:r,pads:i,outputPadding:a,outputShape:u,dilations:p,strides:h}),d},uu=e=>{let t=Bn(e),r=e.format,o=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof e.autoPad>"u"?0:e.autoPad],i=e.dilations,u=e.group,a=e.kernelShape,c=e.pads,p=e.strides,h=e.wIsConst(),d=e.outputPadding,y=e.outputShape;return{autoPad:o,format:r,dilations:i,group:u,kernelShape:a,outputPadding:d,outputShape:y,pads:c,strides:p,wIsConst:h,...t,cacheKey:`${e.format};${t.activation};`}},kc=(e,t)=>{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 r=e[0].dims[t.format==="NHWC"?e[0].dims.length-1:1],o=e[1].dims[0];if(r!==o)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let i=e[1].dims[1]*t.group;if(e.length===3&&(e[2].dims.length!==1||e[2].dims[0]!==i))throw new Error("invalid bias");let u=e[0].dims.length-2;if(t.dilations.reduce((d,y)=>d+y,0)>0&&t.dilations.length!==u)throw new Error(`dilations should be ${u}D`);if(t.strides.reduce((d,y)=>d+y,0)>0&&t.strides.length!==u)throw new Error(`strides should be ${u}D`);if(t.pads.reduce((d,y)=>d+y,0)>0&&t.pads.length!==u*2)throw new Error(`pads should be ${u*2}D`);if(t.outputPadding.length!==u&&t.outputPadding.length!==0)throw new Error(`output_padding should be ${u}D`);if(t.kernelShape.reduce((d,y)=>d+y,0)>0&&t.kernelShape.length!==0&&t.kernelShape.length!==e[1].dims.length-2)throw new Error("invalid kernel shape");if(t.outputShape.length!==0&&t.outputShape.length!==e[0].dims.length-2)throw new Error("invalid output shape")},Oc=[2,3,1,0],Rc=(e,t,r)=>{let o=su(r,t),i=r.format==="NHWC",u=o.outputShape,a=u[i?3:1],c=t[0].dims[i?3:1];if(o.group!==1||a===1&&c===1){e.compute(Lo(t,o));return}let p=u[i?1:2],h=u[i?2:3],d=t[1].dims[2],y=t[1].dims[3],w=i?p*h:a,_=i?a:p*h,v=d*y*c,S=!0,A=e.kernelCustomData.wT??e.compute(yt(t[1],Oc),{inputs:[1],outputs:[r.wIsConst?-2:-1]})[0];r.wIsConst&&!e.kernelCustomData.wT&&(e.kernelCustomData.wT=A);let I=[t[0],A],x=t.length===3;x&&(!i&&t[2].dims.length===1?I.push(t[2].reshape([t[2].dims[0],1,1])):I.push(t[2])),e.compute(ou(I,o,u,w,_,v,x,S),{inputs:I})},Bc=(e,t)=>{let r=t.format==="NHWC",o=[e.inputs[0].reshape(r?[e.inputs[0].dims[0],1,e.inputs[0].dims[1],e.inputs[0].dims[2]]:[e.inputs[0].dims[0],e.inputs[0].dims[1],1,e.inputs[0].dims[2]]),e.inputs[1].reshape([e.inputs[1].dims[0],e.inputs[1].dims[1],1,e.inputs[1].dims[2]])];e.inputs.length===3&&o.push(e.inputs[2]);let i=t.kernelShape;(i.length===0||i[0]===0)&&(i=[e.inputs[1].dims[2]]);let u=t.dilations;(u.length===0||u[0]===0)&&(u=[1]);let a=t.strides;(a.length===0||a[0]===0)&&(a=[1]);let c=t.pads;c.length===0&&(c=[0,0]),c=[0,c[0],0,c[1]],a=[1].concat(a),u=[1].concat(u),i=[1].concat(i);let p=su({...t,pads:c,strides:a,dilations:u,kernelShape:i},o);e.compute(Lo(o,p,h=>r?[h[0],h[2],h[3]]:[h[0],h[1],h[3]]))},du=(e,t)=>{kc(e.inputs,t),e.inputs[0].dims.length===3?Bc(e,t):Rc(e,e.inputs,t)}});var Dc,cu,pu,mu=Y(()=>{"use strict";ye();Se();Ze();_e();Dc=(e,t,r,o)=>{let i=M.size(t),u=t.length,a=U("input",e,u),c=j("output",e,u),p=r.dataType===6?r.getInt32Array()[0]:Number(r.getBigInt64Array()[0]),h=M.normalizeAxis(p,u),d=y=>{let w=` i32(${a.indicesGet("inputIndices","uniforms.axis")}) `,_=fe("uniforms.input_shape","uniforms.axis",u),v=o.reverse?w+(o.exclusive?" + 1":""):"0",S=o.reverse?_:w+(o.exclusive?"":" + 1");return`\n                ${y.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(a,c)}\n                ${y.mainStart()}\n                  ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n                  var inputIndices = ${c.offsetToIndices("global_idx")};\n                  var sum = ${c.type.value}(0);\n                 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r=e[0].dims,o=r,i=2,u=M.sizeToDimension(r,i),a=M.sizeFromDimension(r,i),c=Me(a),p=a/c,h=[r[0],r[1],p],d=["rank","type","type"],y=[{type:12,data:a},{type:12,data:p}];y.push(...Z(h,h));let w=_=>{let v=U("x",e[0].dataType,h.length,c),S=U("scale",e[1].dataType,e[1].dims),A=U("bias",e[2].dataType,e[2].dims),I=j("output",e[0].dataType,h.length,c),x=[v,S,A,I],E=v.type.value,P=c===1?"f32":`vec${c}<f32>`,O=64,R=[{name:"normSize",type:"u32"},{name:"normPackedSize",type:"u32"}];return`\n  var<workgroup> meanShared : f32;\n  var<workgroup> squaredNormShared : f32;\n  var<workgroup> workgroupShared : array<${P}, ${O}>;\n  const workgroupSize = ${O}u;\n  ${_.registerUniforms(R).declareVariables(...x)}\n  ${_.mainStart(O)}\n    let norm = global_idx / workgroupSize;\n    let batch = norm / uniforms.x_shape[1];\n    let channel = norm % uniforms.x_shape[1];\n    let localIndex = local_id.x;\n\n    // initialize workgroup memory\n    var initial = ${P}(0);\n    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {\n      initial = initial + ${P}(${v.get("batch","channel","h")});\n    }\n    workgroupShared[localIndex] = initial;\n    workgroupBarrier();\n\n    // Calculate the mean of current channel data.\n    for (var currSize = workgroupSize >> 1;  currSize > 0; currSize = currSize >> 1) {\n      if (localIndex < currSize) {\n        workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];\n      }\n      workgroupBarrier();\n    }\n    if (localIndex == 0) {\n      meanShared = ${_t("workgroupShared[0]",c)} / f32(uniforms.normSize);\n    }\n    workgroupBarrier();\n\n    // reinitialize workgroup memory.\n    initial = ${P}(0);\n    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {\n      let deviation =  ${P}(${v.get("batch","channel","h")}) - ${P}(meanShared);\n      initial = initial + deviation * deviation;\n    }\n    workgroupShared[localIndex] = initial;\n    workgroupBarrier();\n\n    // Calculate the sum of square of deviation of current channel data.\n    for (var currSize = workgroupSize >> 1;  currSize > 0; currSize = currSize >> 1) {\n      if (localIndex < currSize) {\n        workgroupShared[localIndex] = workgroupShared[localIndex] + workgroupShared[localIndex + currSize];\n      }\n      workgroupBarrier();\n    }\n    if (localIndex == 0) {\n      squaredNormShared = ${_t("workgroupShared[0]",c)};\n    }\n    workgroupBarrier();\n\n    let invStdDev = inverseSqrt(squaredNormShared / f32(uniforms.normSize) + f32(${t.epsilon}));\n    let channelScale = invStdDev * f32(${S.getByOffset("channel")});\n    let channelShift = f32(${A.getByOffset("channel")}) - meanShared * channelScale;\n    for (var h = localIndex; h < uniforms.normPackedSize; h += workgroupSize) {\n      let value = ${v.get("batch","channel","h")} * ${E}(${P}(channelScale)) + ${E}(${P}(channelShift));\n      ${I.set("batch","channel","h","value")};\n    }\n  }`};return{name:"InstanceNormalization",shaderCache:{hint:`${t.epsilon};${c}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:o,dataType:e[0].dataType}],dispatchGroup:{x:u},programUniforms:y}),getShaderSource:w}},Jc=(e,t,r,o,i,u,a,c)=>{let p=Me(a),h=64,d=p===1?"vec2f":`mat2x${p}f`,y=p===1?"f32":`vec${p}f`,w=(R,L)=>`${d}(${R}, ${L})`,_=i*a/p,v=Math.ceil(u/h),S=["type"],A=[{type:12,data:v},{type:12,data:u},{type:12,data:Math.floor(a/p)},{type:12,data:Math.floor(u*a/p)}],I=R=>{let L=U("input",t.dataType,t.dims,p);return`\n  ${R.declareVariables(L)}\n  @group(0) @binding(1) var<storage, read_write> output : array<${d}>;\n  struct Uniforms {wg_size:u32, H:u32, C:u32, image_size:u32};\n  @group(0) @binding(2) var<uniform> uniforms: Uniforms;\n\n  ${R.mainStart(h)}\n    let currentImageNumber = global_idx / ${h} / uniforms.C;\n    let currentChannelNumber = (global_idx / ${h}) % uniforms.C;\n    let wgOffset = local_id.x * uniforms.wg_size;\n    if (wgOffset >= uniforms.H) {\n        return;\n    }\n    let wgMax = min(wgOffset + uniforms.wg_size, uniforms.H);\n\n    let offset = currentImageNumber * uniforms.image_size + currentChannelNumber;\n    var sum = ${$t("f32",p)};\n    var squaredSum = ${$t("f32",p)};\n    for (var i: u32 = wgOffset; i < wgMax; i++) {\n        let value = ${y}(input[offset + i * uniforms.C]);\n        sum += value;\n        squaredSum += value * value;\n    }\n    output[global_idx] = ${w("sum","squaredSum")};\n  }`},x=e.compute({name:"InstanceNormComputeMean",shaderCache:{hint:`${p}`,inputDependencies:S},getRunData:()=>({outputs:[{dims:[i,a,h,2],dataType:1}],dispatchGroup:{x:i*a/p},programUniforms:A}),getShaderSource:I},{inputs:[t],outputs:[-1]})[0],E=[{type:12,data:_},{type:12,data:u},{type:12,data:Math.floor(a/p)},{type:12,data:Math.floor(h*a/p)}],P=["type","type","type"],O=R=>{let L=U("scale",r.dataType,r.dims,p),N=U("bias",o.dataType,o.dims,p);return`\n  @group(0) @binding(0) var<storage, read> input : array<${d}>;\n  @group(0) @binding(1) var<storage, read> scale : array<${L.type.storage}>;\n  @group(0) @binding(2) var<storage, read> bias : array<${N.type.storage}>;\n  @group(0) @binding(3) var<storage, read_write> output : array<${d}>;\n  struct Uniforms {units_of_work : u32, H: u32, C : u32, image_size : u32};\n  @group(0) @binding(4) var<uniform> uniforms: Uniforms;\n\n  ${R.mainStart()}\n    ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.units_of_work")}\n    let currentImageNumber = global_idx / uniforms.C;\n    let currentChannelNumber = global_idx % uniforms.C;\n\n    let offset = currentImageNumber * uniforms.image_size;\n    var sum = ${$t("f32",p)};\n    var squaredSum = ${$t("f32",p)};\n    for (var i: u32 = 0; i < min(${h}, uniforms.H); i++) {\n        let value = input[offset + i + currentChannelNumber * ${h}];\n        sum += value[0];\n        squaredSum += value[1];\n    }\n    sum = sum / f32(uniforms.H);\n    squaredSum = squaredSum / f32(uniforms.H);\n    let invStdDev = inverseSqrt(squaredSum - sum * sum + f32(${c}));\n    let channelScale = invStdDev * ${y}(scale[currentChannelNumber]);\n    let channelShift = ${y}(bias[currentChannelNumber]) - sum * channelScale;\n\n    output[global_idx] = ${w("channelScale","channelShift")};\n  }`};return e.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${p};${c}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:[i,a,2],dataType:1}],dispatchGroup:{x:Math.ceil(_/64)},programUniforms:E}),getShaderSource:O},{inputs:[x,r,o],outputs:[-1]})[0]},ep=(e,t,r)=>{let o=t[0].dims,i=o,u=o[0],a=o[o.length-1],c=M.sizeFromDimension(o,1)/a,p=Me(a),h=M.size(i)/p,d=[{type:12,data:c},{type:12,data:Math.floor(a/p)}],y=["type","type"],w=Jc(e,t[0],t[1],t[2],u,c,a,r.epsilon),_=v=>{let S=De(t[0].dataType),A=p===1?"vec2f":`mat2x${p}f`,I=p===1?S:`vec${p}<${S}>`,x=U("input",t[0].dataType,t[0].dims,p),E=j("output",t[0].dataType,i,p);return`\n  @group(0) @binding(0) var<storage, read> input : array<${x.type.storage}>;\n  @group(0) @binding(1) var<storage, read> scaleInput : array<${A}>;\n  @group(0) @binding(2) var<storage, read_write> output : array<${E.type.storage}>;\n  struct Uniforms {H: u32, C : u32};\n  @group(0) @binding(3) var<uniform> uniforms: Uniforms;\n\n  ${v.mainStart()}\n    let currentImageNumber = global_idx / (uniforms.C * uniforms.H);\n    let currentChannelNumber = global_idx % uniforms.C;\n\n    let scaleOffset = currentImageNumber * uniforms.C + currentChannelNumber;\n    let scale = scaleInput[scaleOffset];\n    output[global_idx] = fma(input[global_idx], ${I}(scale[0]), ${I}(scale[1]));\n  }`};e.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${p}`,inputDependencies:y},getRunData:()=>({outputs:[{dims:i,dataType:t[0].dataType}],dispatchGroup:{x:Math.ceil(h/64)},programUniforms:d}),getShaderSource:_},{inputs:[t[0],w]})},zu=(e,t)=>{t.format==="NHWC"?ep(e,e.inputs,t):e.compute(Qc(e.inputs,t))}});var tp,rp,Uu,Vu=Y(()=>{"use strict";ye();Se();_e();tp=e=>{if(!e||e.length<2)throw new Error("layerNorm requires at least 2 inputs.")},rp=(e,t,r)=>{let o=t.simplified,i=e[0].dims,u=e[1],a=!o&&e[2],c=i,p=M.normalizeAxis(t.axis,i.length),h=M.sizeToDimension(i,p),d=M.sizeFromDimension(i,p),y=M.size(u.dims),w=a?M.size(a.dims):0;if(y!==d||a&&w!==d)throw new Error(`Size of X.shape()[axis:] == ${d}.\n       Size of scale and bias (if provided) must match this.\n       Got scale size of ${y} and bias size of ${w}`);let _=[];for(let O=0;O<i.length;++O)O<p?_.push(i[O]):_.push(1);let v=Me(d),S=["type","type"],A=[{type:12,data:h},{type:1,data:d},{type:12,data:Math.floor(d/v)},{type:1,data:t.epsilon}];a&&S.push("type");let I=r>1,x=r>2,E=O=>{let R=De(e[0].dataType),L=[U("x",e[0].dataType,e[0].dims,v),U("scale",u.dataType,u.dims,v)];a&&L.push(U("bias",a.dataType,a.dims,v)),L.push(j("output",e[0].dataType,c,v)),I&&L.push(j("mean_data_output",1,_)),x&&L.push(j("inv_std_output",1,_));let N=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`\n  ${O.registerUniforms(N).declareVariables(...L)}\n  ${O.mainStart()}\n    ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}\n    let offset = global_idx * uniforms.norm_size_vectorized;\n    var mean_vector = ${$t("f32",v)};\n    var mean_square_vector = ${$t("f32",v)};\n\n    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {\n      let value = ${ir(R,v,"x[h + offset]")};\n      mean_vector += value;\n      mean_square_vector += value * value;\n    }\n    let mean = ${_t("mean_vector",v)} / uniforms.norm_size;\n    let inv_std_dev = inverseSqrt(${_t("mean_square_vector",v)} / uniforms.norm_size ${o?"":"- mean * mean"} + uniforms.epsilon);\n\n    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {\n      let f32input = ${ir(R,v,"x[j + offset]")};\n      let f32scale = ${ir(R,v,"scale[j]")};\n      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i=Math.floor((t.k+t.blockSize-1)/t.blockSize),u=t.blockSize/8*t.bits,a=e[1];if(!M.areEqual(a.dims,[t.n,i,u]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let p=e[2].dims;if(M.size(p)!==t.n*i)throw new Error("scales input size error.");if(e.length===4){let d=e[3].dims,y=t.bits>4?t.n*i:t.n*Math.floor((i+1)/2);if(M.size(d)!==y)throw new Error("zeroPoints input size error.")}},op=(e,t,r,o)=>{let i=e[0].dims,u=i.length,a=Math.floor((t.k+t.blockSize-1)/t.blockSize),c=i[u-2],p=t.k,h=t.n,d=i.slice(0,u-2),y=M.size(d),_=t.blockSize/8*t.bits/4,v=e[0].dataType,S=Me(c),A=Me(t.k),I=Me(_),x=tr(v),E=c*a*x,P=Math.floor(o/E),O=a<=r[0]&&P>0,R=!O||P>=4?Me(h):P>=2&&Me(h)>=2?2:1,L=d.concat([c,h]),N=M.size(L)/R/S,K=O?[]:[{type:12,data:N},{type:12,data:t.blockSize}],Q=[y,c,p/A],he=M.convertShape(e[1].dims).slice();he.splice(-1,1,_/I),K.push(...Z(Q)),K.push(...Z(he)),K.push(...Z(e[2].dims)),e.length===4&&K.push(...Z(M.convertShape(e[3].dims)));let W=[y,c,h/R];K.push(...Z(W));let se=Ce=>{let We=Q.length,ee=U("a",e[0].dataType,We,A),ae=U("b",12,he.length,I),Ae=U("scales",e[2].dataType,e[2].dims.length),me=[ee,ae,Ae],ie=e.length===4?U("zero_points",12,e[3].dims.length):void 0;ie&&me.push(ie);let ue=W.length,le=j("output",e[0].dataType,ue,R),qe=[{name:"output_size",type:"u32"},{name:"block_size",type:"u32"}],G=De(e[0].dataType),ne=(()=>{switch(A){case 1:return`array<${G}, 8>`;case 2:return`mat4x2<${G}>`;case 4:return`mat2x4<${G}>`;default:throw new Error(`${A}-component is not supported.`)}})(),xe=`\n        for (var word: u32 = 0; word < ${_}; word += ${I}) {\n          ${ae.indicesSet("b_indices","2","word")};\n          let b_data = ${ae.getByIndices("b_indices")};\n          for (var i: u32 = 0; i < ${I}; i++) {\n            let b_value: u32 = ${I===1?"b_data":"b_data[word + i]"};\n            let b_mask: u32 = 0x0F0F0F0Fu;\n            let b_value_lower: vec4<u32> = unpack4xU8(b_value & b_mask);\n            let b_value_upper: vec4<u32> = unpack4xU8((b_value >> 4) & b_mask);\n            let b_quantized_values = ${ne}(${Array.from({length:4},(Be,Ge)=>`${G}(b_value_lower[${Ge}]), ${G}(b_value_upper[${Ge}])`).join(", ")});\n            let b_dequantized_values = ${(()=>A===1?`${ne}(${Array.from({length:8},(Be,Ge)=>`(b_quantized_values[${Ge}] - zero_point) * scale`).join(", ")});`:`(b_quantized_values - ${ne}(${Array(8).fill("zero_point").join(",")})) * scale;`)()};\n            // Number of B elements per 32-bit word is 32/bits = 32/4 = 8\n            for (var m: u32 = 0; m < ${O?c:S}u; m++) {\n              ${ee.indicesSet("a_indices",We-2,O?"m":`row * ${S} + m`)};\n              ${ee.indicesSet("a_indices",We-1,"word_offset")};\n              var input_offset = ${ee.indicesToOffset("a_indices")};\n              var a_data: ${ne};\n              for (var j: u32 = 0; j < ${8/A}; j++) {\n                a_data[j] = ${ee.getByOffset("input_offset")};\n                input_offset++;\n              }\n              ${O?"workgroup_shared[workgroup_shared_offset + m]":"output_values[m]"}${R>1?"[c]":""} += ${Array.from({length:8/A},(Be,Ge)=>`${A===1?`a_data[${Ge}] * b_dequantized_values[${Ge}]`:`dot(a_data[${Ge}], b_dequantized_values[${Ge}])`}`).join(" + ")};\n            }\n            word_offset += ${8/A};\n          }\n        }`,Ke=ie?`\n          zero_point_offset += 4;\n          if (zero_point_offset == 32) {\n            zero_point_offset = 0;\n            zero_point_index++;\n            zero_point_word = ${ie.getByOffset("zero_point_index")};\n          }`:"";return O?`\n        var<workgroup> workgroup_shared: array<${le.type.value}, ${c*a}>;\n        ${Ce.declareVariables(...me,le)}\n        ${Ce.mainStart([a,1,1])}\n          var a_indices: ${ee.type.indices};\n          var block = local_id.x;\n          var col = workgroup_id.y;\n          var batch = workgroup_id.z;\n          ${ee.indicesSet("a_indices","0","batch")};\n          // Two zero points are packed into one byte when uniforms.bits is 4.\n          for (var c: u32 = 0; c < ${R}; c++) {\n            let col_times_components_plus_c = col * ${R} + c;\n              ${ie?`\n            var zero_point_bytes_per_col: u32 = (${a} + 1) / 2;\n            var zero_point_byte_count: u32 = col_times_components_plus_c * zero_point_bytes_per_col + (block >> 0x1u);\n            var zero_point_word_index: u32 = zero_point_byte_count >> 0x2u;\n            var zero_point_byte_offset: u32 = zero_point_byte_count & 0x3u;\n            var zero_point_nibble_offset: u32 = block & 0x1u;\n            var zero_point_bits_offset: u32 = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);\n            var zero_point_word: u32 = ${ie.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;`:""}\n            var b_indices: ${ae.type.indices};\n            ${ae.indicesSet("b_indices","0","col_times_components_plus_c")};\n            // The scale and zero points are computed per block.\n            var scales_index = col_times_components_plus_c * ${a} + block;\n            let scale = ${Ae.getByOffset("scales_index")};\n            // The default zero point is 8 for unsigned 4-bit quantization.\n            let zero_point = ${G}(${ie?"(zero_point_word) & 0xFu":8});\n            ${ae.indicesSet("b_indices","1","block")};\n            var word_offset: u32 = block * ${t.blockSize/A};\n            var workgroup_shared_offset: u32 = block * ${c};\n            ${xe}\n          }\n          workgroupBarrier();\n          if (local_id.x == 0u) {\n            var output_indices: ${le.type.indices};\n            ${le.indicesSet("output_indices","0","batch")};\n            ${le.indicesSet("output_indices",ue-1,"col")};\n            ${le.indicesSet("output_indices",ue-2,"0")};\n            var output_offset = ${le.indicesToOffset("output_indices")};\n            for (var m: u32 = 0u; m < ${c}u; m++) {\n              var output_value: ${le.type.value} = ${le.type.value}(0);\n              var workgroup_shared_offset: u32 = m;\n              for (var b: u32 = 0u; b < ${a}u; b++) {\n                output_value += workgroup_shared[workgroup_shared_offset];\n                workgroup_shared_offset += ${c};\n              }\n              ${le.setByOffset("output_offset","output_value")};\n              output_offset += ${h/R};\n            }\n          }\n        }`:`\n        ${Ce.registerUniforms(qe).declareVariables(...me,le)}\n        ${Ce.mainStart()}\n          ${Ce.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n          var output_values: array<${le.type.value}, ${S}>;\n          var output_indices = ${le.offsetToIndices("global_idx")};\n          var col = ${le.indicesGet("output_indices",ue-1)};\n          var row = ${le.indicesGet("output_indices",ue-2)};\n          var a_indices: ${ee.type.indices} = output_indices;\n          // Two zero points are packed into one byte because uniforms.bits <= 4.\n          // zero_point_offset is either 0 or 4. It is bit offset within one byte.\n          // TODO support zero_point_offset for bits > 4\n          ${ie?`\n          var zero_point_abs_offset = col * ${R} * ((${a} + 1) / 2);\n          var zero_point_index: u32 = zero_point_abs_offset / 4;\n          var zero_point_word: u32 = ${ie.getByOffset("zero_point_index")};\n          var zero_point_offset: u32 = (zero_point_abs_offset % 4) * 8;`:""}\n          var scale_index = col * ${a*R};\n          var b_indices: ${ae.type.indices};\n          for (var c: u32 = 0; c < ${R}; c++) {\n            ${ae.indicesSet("b_indices","0",`col * ${R} + c`)};\n            var block_offset: u32 = 0;\n            for (var block: u32 = 0; block < ${a}; block++) {\n              // The scale and zero points are computed per block.\n              let scale = ${Ae.getByOffset("scale_index")};\n              // The default zero point is 8 for unsigned 4-bit quantization.\n              let zero_point = ${G}(${ie?"extractBits(zero_point_word, zero_point_offset, 4)":8});\n              ${ae.indicesSet("b_indices","1","block")};\n              var word_offset: u32 = block_offset;\n              ${xe}\n              scale_index++;\n              ${Ke}\n              block_offset += uniforms.block_size / ${A};\n            }\n            // Drop the trailing 4 bits if the zero_poit_offset is not a byte boundary to align with the next byte.\n            ${ie?`if (zero_point_offset % 8 > 0) {\n                ${Ke}\n              }`:""}\n            }\n            for (var k: u32 = 0u; k < ${S}u; k++) {\n              ${le.indicesSet("output_indices",ue-2,`${S} * row + k`)};\n              ${le.setByIndices("output_indices","output_values[k]")}\n            }\n        }`};return{name:O?"BlockwiseMatMulNBits":"MatMulNBits",shaderCache:{hint:`${t.cacheKey};${c};${v};${e.length}`,inputDependencies:Array(e.length).fill("rank")},getRunData:()=>({outputs:[{dims:L,dataType:v}],name:O?"BlockwiseMatMulNBits":"MatMulNBits",dispatchGroup:O?{x:1,y:Math.ceil(h/R),z:y}:{x:Math.ceil(N/64)},programUniforms:K}),getShaderSource:se}},Wu=(e,t)=>{np(e.inputs,t);let r=e.getMaxComputeWorkgroupSizes(),o=e.getMaxComputeWorkgroupStoragesize();e.compute(op(e.inputs,t,r,o))},Nu=e=>ve(e)});var it,ip,Lu,Hu,ap,Ko,Fu,qu=Y(()=>{"use strict";ye();Se();Ze();_n();Ro();_e();Sr();it=(e,t)=>e.length>t&&e[t].dims.length>0&&M.size(e[t].dims)>0?e[t]:void 0,ip=(e,t)=>{let r=e[0],o=it(e,1),i=it(e,2),u=it(e,3),a=it(e,4),c=it(e,5),p=it(e,6),h=it(e,7);if(r.dims.length!==3&&r.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let d=!1,y=r.dims[0],w=r.dims[1],_=r.dims.length===3?d?r.dims[2]/3:r.dims[2]:t.numHeads*r.dims[4],v=w,S=0,A=0,I=Math.floor(_/t.numHeads);if(p&&h){if(p.dims.length!==4)throw new Error(\'Input "past_key" is expected to have 4 dimensions\');if(p.dims[0]!==y||p.dims[1]!==t.numHeads||p.dims[3]!==I)throw new Error(\'Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)\');if(h.dims[0]!==y||h.dims[1]!==t.numHeads||h.dims[3]!==I)throw new Error(\'Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)\');if(p.dims[2]!==h.dims[2])throw new Error(\'Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)\');if(h.dims.length!==4)throw new Error(\'Input "past_value" is expected to have 4 dimensions\');S=p.dims[2],A=p.dims[2]}else if(p||h)throw new Error(\'Input "past_key" and "past_value" shall be both present or both absent\');let x;if(o){if(r.dims.length!==3)throw new Error(\'Input "query" is expected to have 3 dimensions when key is given\');if(o.dims.length<3||o.dims.length>5)throw new Error(\'Input "key" is expected to have 3, 4, or 5 dimensions\');if(r.dims[0]!==o.dims[0])throw new Error(\'Input "query" and "key" shall have same dim 0 (batch size)\');if(o.dims.length===3){if(o.dims[2]!==r.dims[2])throw new Error(\'Input "query" and "key" shall have same dim 2 (hidden_size)\');x=2,v=o.dims[1]}else if(o.dims.length===5){if(o.dims[2]!==t.numHeads||o.dims[3]!==2||o.dims[4]!==I)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.\');x=5,v=o.dims[1]}else{if(o.dims[1]!==t.numHeads||o.dims[3]!==I)throw new Error(\'Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key\');x=0,v=o.dims[2]}}else{if(r.dims.length!==3&&r.dims.length!==5)throw new Error(\'Input "query" is expected to have 3 or 5 dimensions when key is empty\');if(r.dims.length===5&&(r.dims[2]!==t.numHeads||r.dims[3]!==3))throw new Error(\'Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv\');x=3}if(u){if(u.dims.length!==1)throw new Error(\'Input "bias" is expected to have 1 dimension\');if(i&&r.dims.length===5&&r.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let E=0;if(a){E=8;let N=a.dims;throw N.length===1?N[0]===y?E=1:N[0]===3*y+2&&(E=3):N.length===2&&N[0]===y&&N[1]===v&&(E=5),E===8?new Error(\'Input "key_padding_mask" shape shall be (batch_size) or (batch_size, kv_sequence_length)\'):new Error("Mask not supported")}let P=!1,O=_;if(i){if(i.dims.length!==3&&i.dims.length!==4)throw new Error(\'Input "value" is expected to have 3 or 4 dimensions\');if(r.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(v!==i.dims[1])throw new Error(\'Input "key" and "value" shall have the same dim 1 (kv_sequence_length)\');O=i.dims[2]}else{if(v!==i.dims[2])throw new Error(\'Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)\');O=i.dims[1]*i.dims[3],P=!0}}let R=S+v,L=!1;if(a)throw new Error("Key padding mask is not supported");if(c){if(c.dims.length!==4)throw new Error(\'Input "relative_position_bias" is expected to have 4 dimensions\');if(c.dims[0]!==y&&c.dims[0]!==1||c.dims[1]!==t.numHeads||c.dims[2]!==w||c.dims[3]!==R)throw new Error(\'Input "relative_position_bias" shape (batch_size, 1, sequence_length, kv_sequence_length)\')}return{batchSize:y,sequenceLength:w,pastSequenceLength:S,kvSequenceLength:v,totalSequenceLength:R,maxSequenceLength:A,inputHiddenSize:0,hiddenSize:_,vHiddenSize:O,headSize:I,vHeadSize:Math.floor(O/t.numHeads),numHeads:t.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:t.maskFilterValue,maskType:E,scale:t.scale,broadcastResPosBias:L,passPastInKv:P,qkvFormat:x}},Lu=e=>ve({...e}),Hu=ve({perm:[0,2,1,3]}),ap=(e,t,r,o,i,u,a)=>{let c=[o,i,u],p=M.size(c),h=[{type:12,data:p},{type:12,data:a},{type:12,data:u}],d=y=>{let w=j("qkv_with_bias",t.dataType,c),_=U("qkv",t.dataType,c),v=U("bias",r.dataType,c),S=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`\n  ${y.registerUniforms(S).declareVariables(_,v,w)}\n  ${y.mainStart()}\n    ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n    let bias_offset_idx = (global_idx % uniforms.hidden_size) + uniforms.bias_offset;\n\n    qkv_with_bias[global_idx] = qkv[global_idx] + bias[bias_offset_idx];\n  }`};return e.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:c,dataType:t.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:h}),getShaderSource:d},{inputs:[t,r],outputs:[-1]})[0]},Ko=(e,t,r,o,i,u,a,c)=>{let p=u;if(a){if(o===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return p=ap(e,u,a,t,o,r*i,c),p=p.reshape([t,o,r,i]),e.compute(yt(p,Hu.perm),{inputs:[p],outputs:[-1]})[0]}else return u.dims.length===3&&(p=u.reshape([t,o,r,i])),e.compute(yt(p,Hu.perm),{inputs:[p],outputs:[-1]})[0]},Fu=(e,t)=>{let r=ip(e.inputs,t),o=e.inputs[0],i=it(e.inputs,1),u=it(e.inputs,2),a=it(e.inputs,3),c=it(e.inputs,4),p=it(e.inputs,5),h=it(e.inputs,6),d=it(e.inputs,7);if(o.dims.length===5)throw new Error("Packed QKV is not implemented");if(i?.dims.length===5)throw new Error("Packed KV is not implemented");let y=i&&u&&i.dims.length===4&&u.dims.length===4,w=Ko(e,r.batchSize,r.numHeads,r.sequenceLength,r.headSize,o,a,0);if(y)return Pn(e,w,i,u,c,void 0,h,d,p,r,t);if(!i||!u)throw new Error("key and value must be provided");let _=Ko(e,r.batchSize,r.numHeads,r.kvSequenceLength,r.headSize,i,a,r.hiddenSize),v=Ko(e,r.batchSize,r.numHeads,r.kvSequenceLength,r.vHeadSize,u,a,2*r.hiddenSize);Pn(e,w,_,v,c,void 0,h,d,p,r,t)}});var sp,up,dp,lp,cp,pp,mp,fp,ju,Ku=Y(()=>{"use strict";ye();Se();_e();sp=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 t=e[0].dims.length*2===e[1].dims[0];if(e.length===4&&(t=e[3].dims[0]*2===e[1].dims[0]),!t)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},up=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n            k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n            if (k < 0) {\n              break;\n            }\n            if (k >= i32(${fe("uniforms.x_shape",i,t)})) {\n              break;\n            }\n            offset += k * i32(${fe("uniforms.x_strides",i,t)});\n        `;return`\n          value = ${e.type.value}(uniforms.constant_value);\n          for (var i = 0; i < 1; i++) {\n            var offset = 0;\n            var k = 0;\n            ${o}\n            value = x[offset];\n          }\n      `},dp=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n                k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n                if (k < 0) {\n                  k = -k;\n                }\n                {\n                  let _2n_1 = 2 * (i32(${fe("uniforms.x_shape",i,t)}) - 1);\n                  k = k % _2n_1;\n                  if(k >= i32(${fe("uniforms.x_shape",i,t)})) {\n                    k = _2n_1 - k;\n                  }\n                }\n                offset += k * i32(${fe("uniforms.x_strides",i,t)});\n            `;return`\n              var offset = 0;\n              var k = 0;\n              ${o}\n              value = x[offset];\n          `},lp=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n                k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n                if (k < 0) {\n                  k = 0;\n                }\n                if (k >= i32(${fe("uniforms.x_shape",i,t)})) {\n                  k = i32(${fe("uniforms.x_shape",i,t)}) - 1;\n                }\n                offset += k * i32(${fe("uniforms.x_strides",i,t)});\n            `;return`\n              var offset = 0;\n              var k = 0;\n              ${o}\n              value = x[offset];\n          `},cp=(e,t,r)=>{let o="";for(let i=t-1;i>=0;--i)o+=`\n                k = i32(${e.indicesGet("indices",i)}) - ${fe("uniforms.pads",i,r)};\n                if (k < 0)  {\n                  k += i32(${fe("uniforms.x_shape",i,t)}]);\n                }\n                if (k >= i32(${fe("uniforms.x_shape",i,t)})) {\n                  k -= i32(${fe("uniforms.x_shape",i,t)});\n                }\n                offset += k * i32(${fe("uniforms.x_strides",i,t)});\n            `;return`\n              var offset = 0;\n              var k = 0;\n              ${o}\n              value = x[offset];\n          `},pp=(e,t,r)=>{switch(r.mode){case 0:return up(e,t,r.pads.length);case 1:return dp(e,t,r.pads.length);case 2:return lp(e,t,r.pads.length);case 3:return cp(e,t,r.pads.length);default:throw new Error("Invalid mode")}},mp=(e,t)=>{let r=M.padShape(e[0].dims.slice(),t.pads),o=e[0].dims,i=M.size(r),u=[{type:12,data:i},{type:6,data:t.pads}];t.mode===0&&u.push({type:e[0].dataType,data:t.value}),u.push(...Z(e[0].dims,r));let a=["rank"],c=p=>{let h=j("output",e[0].dataType,r.length),d=U("x",e[0].dataType,o.length),y=d.type.value,w=pp(h,o.length,t),_=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:t.pads.length}];return t.mode===0&&_.push({name:"constant_value",type:y}),`\n            ${p.registerUniforms(_).declareVariables(d,h)}\n            ${p.mainStart()}\n            ${p.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n\n            let indices = ${h.offsetToIndices("global_idx")};\n\n            var value = ${y}(0);\n            ${w}\n            output[global_idx] = value;\n        }`};return{name:"Pad",shaderCache:{hint:`${t.mode}`,inputDependencies:a},getRunData:()=>({outputs:[{dims:r,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(M.size(r)/64)},programUniforms:u}),getShaderSource:c}},fp=(e,t)=>{if(e.length>1){let r=e[1].getBigInt64Array(),o=e.length>=3&&e[2].data?e[2].getFloat32Array()[0]:0,i=e[0].dims.length,u=new Int32Array(2*i).fill(0);if(e.length>=4){let c=e[3].getBigInt64Array();for(let p=0;p<c.length;p++)u[Number(c[p])]=Number(r[p]),u[Number(c[p])+i]=Number(r[p+c.length])}else r.forEach((c,p)=>u[Number(p)]=Number(c));let a=[];return u.forEach(c=>a.push(c)),{mode:t.mode,value:o,pads:a}}else return t},ju=(e,t)=>{sp(e.inputs);let r=fp(e.inputs,t);e.compute(mp(e.inputs,r),{inputs:[0]})}});var Nn,Yu,Zu,Xu,Qu,hp,gp,Ju,ed,td,rd,nd,od,id,ad,sd,ud,dd,ld,cd=Y(()=>{"use strict";$r();ye();Se();_e();Nn=e=>{if(vr.webgpu.validateInputContent&&(!e||e.length!==1))throw new Error("Pool ops requires 1 input.")},Yu=(e,t,r)=>{let o=t.format==="NHWC",i=e.dims.slice();o&&i.splice(1,0,i.pop());let u=Object.hasOwnProperty.call(t,"dilations"),a=t.kernelShape.slice(),c=t.strides.slice(),p=u?t.dilations.slice():[],h=t.pads.slice();nr.adjustPoolAttributes(r,i,a,c,p,h);let d=nr.computePoolOutputShape(r,i,c,p,a,h,t.autoPad),y=Object.assign({},t);u?Object.assign(y,{kernelShape:a,strides:c,pads:h,dilations:p,cacheKey:t.cacheKey}):Object.assign(y,{kernelShape:a,strides:c,pads:h,cacheKey:t.cacheKey});let w=d.slice();return w.push(w.splice(1,1)[0]),[y,o?w:d]},Zu=(e,t)=>{let r=t.format==="NHWC",o=M.size(e),i=M.size(t.kernelShape),u=[{type:12,data:o},{type:12,data:i}],a=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(t.kernelShape.length<=2){let c=t.kernelShape[t.kernelShape.length-1],p=t.strides[t.strides.length-1],h=t.pads[t.pads.length/2-1],d=t.pads[t.pads.length-1],y=!!(h+d);u.push({type:12,data:c},{type:12,data:p},{type:12,data:h},{type:12,data:d}),a.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let w=!1;if(t.kernelShape.length===2){let _=t.kernelShape[t.kernelShape.length-2],v=t.strides[t.strides.length-2],S=t.pads[t.pads.length/2-2],A=t.pads[t.pads.length-2];w=!!(S+A),u.push({type:12,data:_},{type:12,data:v},{type:12,data:S},{type:12,data:A}),a.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[u,a,!0,y,w]}else{if(r)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let c=M.computeStrides(t.kernelShape);u.push({type:12,data:c},{type:12,data:t.pads},{type:12,data:t.strides}),a.push({name:"kernelStrides",type:"u32",length:c.length},{name:"pads",type:"u32",length:t.pads.length},{name:"strides",type:"u32",length:t.strides.length});let p=t.pads.reduce((h,d)=>h+d);return[u,a,!!p,!1,!1]}},Xu=(e,t,r,o,i,u,a,c,p,h,d,y)=>{let w=i.format==="NHWC",_=t.type.value,v=j("output",t.type.tensor,o);if(i.kernelShape.length<=2){let S="",A="",I="",x=r-(w?2:1);if(d?S=`\n                for (var i: u32 = 0u; i < uniforms.kw; i++) {\n                  xIndices[${x}] = indices[${x}] * uniforms.sw - uniforms.pwStart + i;\n                  if (xIndices[${x}] < 0 || xIndices[${x}]\n                      >= uniforms.x_shape[${x}]) {\n                    pad++;\n                    continue;\n                  }\n                  let x_val = x[${t.indicesToOffset("xIndices")}];\n                  ${u}\n                }`:S=`\n                for (var i: u32 = 0u; i < uniforms.kw; i++) {\n                  xIndices[${x}] = indices[${x}] * uniforms.sw - uniforms.pwStart + i;\n                  let x_val = x[${t.indicesToOffset("xIndices")}];\n                  ${u}\n                }`,i.kernelShape.length===2){let P=r-(w?3:2);y?A=`\n                for (var j: u32 = 0u; j < uniforms.kh; j++) {\n                  xIndices[${P}] = indices[${P}] * uniforms.sh - uniforms.phStart + j;\n                  if (xIndices[${P}] < 0 || xIndices[${P}] >= uniforms.x_shape[${P}]) {\n                    pad += i32(uniforms.kw);\n                    continue;\n                  }\n              `:A=`\n                for (var j: u32 = 0u; j < uniforms.kh; j++) {\n                  xIndices[${P}] = indices[${P}] * uniforms.sh - uniforms.phStart + j;\n                `,I=`\n              }\n            `}return`\n            ${e.registerUniforms(p).declareVariables(t,v)}\n\n            ${e.mainStart()}\n              ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n\n              let indices = ${v.offsetToIndices("global_idx")};\n              var xIndices = ${v.offsetToIndices("global_idx")};\n\n              var value = ${_}(${c});\n              var pad = 0;\n              ${A}\n              ${S}\n              ${I}\n              ${a}\n\n              output[global_idx] = value;\n            }`}else{if(w)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let S=i.kernelShape.length,A=i.pads.length,I="";return h?I=`\n                if (xIndices[j] >= uniforms.x_shape[j]) {\n                  pad++;\n                  isPad = true;\n                  break;\n                }\n              }\n              if (!isPad) {\n                let x_val = x[${t.indicesToOffset("xIndices")}];\n                ${u}\n              }`:I=`\n              }\n              let x_val = x[${t.indicesToOffset("xIndices")}];\n              ${u}\n            `,`\n            ${e.registerUniforms(p).declareVariables(t,v)}\n\n            ${e.mainStart()}\n              ${e.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n              let indices = ${v.offsetToIndices("global_idx")};\n              var xIndices = ${v.offsetToIndices("global_idx")};\n\n              var offsets: array<u32, ${S}>;\n\n              var value = ${_}(${c});\n              var pad = 0;\n              var isPad = false;\n\n              for (var i: u32 = 0u; i < uniforms.kernelSize; i++) {\n                var offset = i;\n                for (var j = 0u; j < ${S-1}u; j++) {\n                  offsets[j] = offset / ${fe("uniforms.kernelStrides","j",S)};\n                  offset -= offsets[j] * ${fe("uniforms.kernelStrides","j",S)};\n                }\n                offsets[${S-1}] = offset;\n\n                isPad = false;\n                for (var j = ${r-S}u; j < ${r}u; j++) {\n                  xIndices[j] = indices[j] * ${fe("uniforms.strides",`j - ${r-S}u`,S)}\n                    + offsets[j - ${r-S}u] - ${fe("uniforms.pads","j - 2u",A)};\n                  ${I}\n              }\n              ${a}\n\n              output[global_idx] = value;\n            }`}},Qu=e=>`${e.format};${e.ceilMode};${e.autoPad};${e.kernelShape.length}`,hp=e=>`${Qu(e)};${e.countIncludePad}`,gp=e=>`${Qu(e)};${e.storageOrder};${e.dilations}`,Ju=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}),ed=(e,t,r,o)=>{let[i,u]=Yu(t,o,r),a=U("x",t.dataType,t.dims.length),c=a.type.value,p="value += x_val;",h="";i.countIncludePad?h+=`value /= ${c}(uniforms.kernelSize);`:h+=`value /= ${c}(i32(uniforms.kernelSize) - pad);`;let[d,y,w,_,v]=Zu(u,i);d.push(...Z(t.dims,u));let S=["rank"];return{name:e,shaderCache:{hint:`${o.cacheKey};${w};${_};${v}`,inputDependencies:S},getRunData:()=>({outputs:[{dims:u,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(M.size(u)/64)},programUniforms:d}),getShaderSource:A=>Xu(A,a,t.dims.length,u.length,i,p,h,0,y,w,_,v)}},td=e=>{let t=e.count_include_pad!==0,r=Ju(e);if(r.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let o={countIncludePad:t,...r,cacheKey:""};return{...o,cacheKey:hp(o)}},rd=(e,t)=>{Nn(e.inputs),e.compute(ed("AveragePool",e.inputs[0],!1,t))},nd={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},od=e=>{let t=e.format;return{format:t,...nd,cacheKey:t}},id=(e,t)=>{Nn(e.inputs),e.compute(ed("GlobalAveragePool",e.inputs[0],!0,t))},ad=(e,t,r,o)=>{let[i,u]=Yu(t,o,r),a=`\n      value = max(x_val, value);\n    `,c="",p=U("x",t.dataType,t.dims.length),h=["rank"],[d,y,w,_,v]=Zu(u,i);return d.push(...Z(t.dims,u)),{name:e,shaderCache:{hint:`${o.cacheKey};${w};${_};${v}`,inputDependencies:h},getRunData:()=>({outputs:[{dims:u,dataType:t.dataType}],dispatchGroup:{x:Math.ceil(M.size(u)/64)},programUniforms:d}),getShaderSource:S=>Xu(S,p,t.dims.length,u.length,i,a,c,t.dataType===10?-65504:-1e5,y,w,_,v)}},sd=(e,t)=>{Nn(e.inputs),e.compute(ad("MaxPool",e.inputs[0],!1,t))},ud=e=>{let t=e.storage_order,r=e.dilations,o=Ju(e);if(t!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(o.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let i={storageOrder:t,dilations:r,...o,cacheKey:""};return{...i,cacheKey:gp(i)}},dd=e=>{let t=e.format;return{format:t,...nd,cacheKey:t}},ld=(e,t)=>{Nn(e.inputs),e.compute(ad("GlobalMaxPool",e.inputs[0],!0,t))}});var bp,wp,pd,md=Y(()=>{"use strict";$r();ye();_e();bp=(e,t,r)=>{let o=e===t,i=e<t&&r<0,u=e>t&&r>0;if(o||i||u)throw new Error("Range these inputs\' contents are invalid.")},wp=(e,t,r,o)=>{let i=Math.abs(Math.ceil((t-e)/r)),u=[i],a=i,c=[{type:12,data:a},{type:o,data:e},{type:o,data:r},...Z(u)],p=h=>{let d=j("output",o,u.length),y=d.type.value,w=[{name:"outputSize",type:"u32"},{name:"start",type:y},{name:"delta",type:y}];return`\n        ${h.registerUniforms(w).declareVariables(d)}\n        ${h.mainStart()}\n        ${h.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}\n        output[global_idx] = uniforms.start + ${y}(global_idx) * uniforms.delta;\n      }`};return{name:"Range",shaderCache:{hint:`${o}`},getShaderSource:p,getRunData:()=>({outputs:[{dims:u,dataType:o}],dispatchGroup:{x:Math.ceil(a/64)},programUniforms:c})}},pd=e=>{let t=0,r=0,o=0;e.inputs[0].dataType===6?(t=e.inputs[0].getInt32Array()[0],r=e.inputs[1].getInt32Array()[0],o=e.inputs[2].getInt32Array()[0]):e.inputs[0].dataType===1&&(t=e.inputs[0].getFloat32Array()[0],r=e.inputs[1].getFloat32Array()[0],o=e.inputs[2].getFloat32Array()[0]),vr.webgpu.validateInputContent&&bp(t,r,o),e.compute(wp(t,r,o,e.inputs[0].dataType),{inputs:[]})}});var vp,$p,_p,Sp,xp,Cp,Ap,Ip,Tp,Ep,Pp,fd,kp,Op,Rp,Bp,Dp,hd,gd,yd=Y(()=>{"use strict";ye();Se();Ze();_e();vp=(e,t)=>{if(e.every(r=>r>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),e.length>0){if(t.mode==="linear"){if(!(e.length===2||e.length===3||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1||e.length===5&&e[0]===1&&e[1]===1))throw new Error(`For linear mode, Resize requires scales to be 2D, 3D, 4D with either two outermost or one innermost and\n            one outermost scale values equal to 1, or 5D with two outermost scale values equal to 1`)}else if(t.mode==="cubic"&&!(e.length===2||e.length===4&&e[0]===1&&e[1]===1||e.length===4&&e[0]===1&&e[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},$p=(e,t,r)=>{t.every(i=>i>=0&&i<r||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let o=new Array(r).fill(1);return t.forEach((i,u)=>o[i]=e[u]),o},_p=(e,t,r,o,i,u)=>{let[a,c,p]=r>10?[1,2,3]:[-1,e.length>1?1:-1,-1],h=e[0].dims.length;if(a>0&&e.length>a&&e[a].dims.length>0)e[a].getFloat32Array().forEach(d=>u.push(d));else if(t.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(c>0&&e.length>c&&e[c].dims.length>0){if(e[c].getFloat32Array().forEach(d=>o.push(d)),o.length!==0&&o.length!==h&&r>=18&&o.length!==t.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");vp(o,t),t.axes.length>0&&$p(o,t.axes,h).forEach((d,y)=>o[y]=d)}if(p>0&&e.length>p&&(e[p].getBigInt64Array().forEach(d=>i.push(Number(d))),i.length!==h||r>=18&&i.length===t.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(t.axes.length>0){if(o.length!==t.axes.length)throw new Error(\'Resize requires "scales" input size to be of axes rank when axes attributes is specified\');if(i.length!==t.axes.length)throw new Error(\'Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified\')}if(typeof o<"u"&&typeof i<"u"&&o.length>0&&i.length>h)throw new Error("Resize requires only of scales or sizes to be specified")},Sp=(e,t)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,\n     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${t} { `+(()=>{switch(e){case"asymmetric":return`return ${t}(xResized) / ${t}(xScale);`;case"pytorch_half_pixel":return`if (lengthResized > 1) {\n                    return (${t}(xResized) + 0.5) / ${t}(xScale) - 0.5;\n                  } else {\n                    return 0.0;\n                  }`;case"tf_half_pixel_for_nn":return`return (${t}(xResized) + 0.5) / ${t}(xScale);`;case"align_corners":return`if (lengthResized == 1) {\n                    return 0.0;\n                  } else {\n                    // The whole part and the fractional part are calculated separately due to inaccuracy of floating\n                    // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an\n                    // offset-by-one error later in floor().\n                    let whole = ${t}(xResized * (lengthOriginal - 1) / (lengthResized - 1));\n                    let fract =\n                        ${t}(xResized * (lengthOriginal - 1) % (lengthResized - 1)) / ${t}(lengthResized - 1);\n                    return whole + fract;\n                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {\n                    return ${t}(roiStart) * ${t}(lengthOriginal - 1) +\n                        (${t}(xResized) * ${t}(roiEnd - roiStart) * ${t}(lengthOriginal - 1)) /\n                        ${t}(lengthResized - 1);\n                  } else {\n                    return 0.5 * ${t}(roiStart + roiEnd) * ${t}(lengthOriginal - 1);\n                  }`;case"half_pixel_symmetric":return`const outputWidth = ${t}xScale * ${t}(lengthResized);\n                  const adjustment = ${t}(lengthResized) / outputWidth;\n                  const center = ${t}(lengthOriginal) / 2;\n                  const offset = center * (1 - adjustment);\n                  return offset + ((${t}(xResized) + 0.5) / ${t}(xScale)) - 0.5;`;case"half_pixel":return`return ((${t}(xResized) + 0.5) / ${t}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${e} is not supported`)}})()+"}",xp=(e,t,r)=>`fn getNearestPixelFromOriginal(xOriginal: ${r}, isDownSample: bool) -> ${r} {`+(()=>{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(t<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${e} is not supported`)}})()+"}",Cp=(e,t,r)=>{let o=new Array(r).fill(0).concat(new Array(r).fill(1)),i=e.length===0?o:e.slice();return t.length>0?(t.forEach((u,a)=>{o[u]=i[a],o[a+r]=i[t.length+a]}),o):i},Ap=(e,t,r,o)=>{let i=[];if(r.length>0)if(o.length>0){if(e.forEach(u=>i.push(u)),Math.max(...o)>e.length)throw new Error("axes is out of bound");o.forEach((u,a)=>i[u]=r[a])}else r.forEach(u=>i.push(u));else{if(t.length===0)throw new Error("Resize requires either scales or sizes.");i=e.map((u,a)=>Math.round(u*t[a]))}return i},Ip=(e,t,r)=>{let o=(()=>{switch(r.keepAspectRatioPolicy){case"not_larger":return r.axes.length>0?Math.min(...r.axes.map(u=>t[u]),Number.MAX_VALUE):Math.min(...t,Number.MAX_VALUE);case"not_smaller":return r.axes.length>0?Math.max(...r.axes.map(u=>t[u]),Number.MIN_VALUE):Math.max(...t,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${r.keepAspectRatioPolicy} is not supported`)}})();t.fill(1,0,t.length);let i=e.slice();return r.axes.length>0?(r.axes.forEach(u=>t[u]=o),r.axes.forEach(u=>i[u]=Math.round(e[u]*t[u]))):(t.fill(o,0,t.length),i.forEach((u,a)=>i[a]=Math.round(u*t[a]))),i},Tp=(e,t,r,o,i)=>`\n    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${e.type.indices}) -> array<${e.type.value}, ${r.length}> {\n      var original_indices: array<${e.type.value}, ${r.length}>;\n      for (var i:u32 = 0; i < ${r.length}; i++) {\n        var output_index = ${e.indicesGet("output_indices","i")};\n        var scale = ${fe("uniforms.scales","i",o)};\n        var roi_low = ${fe("uniforms.roi","i",i)};\n        var roi_hi = ${fe("uniforms.roi",`i + ${t.length}`,i)};\n        if (scale == 1.0) {\n          original_indices[i] = ${e.type.value}(output_index);\n        } else {\n          var input_shape_i = ${fe("uniforms.input_shape","i",t.length)};\n          var output_shape_i = ${fe("uniforms.output_shape","i",r.length)};\n          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,\n                                                                           input_shape_i, roi_low, roi_hi);\n        }\n      }\n      return original_indices;\n    }`,Ep=(e,t,r,o,i,u,a)=>`\n    fn calculateInputIndicesFromOutputIndices(output_indices: ${t.type.indices}) -> ${e.type.indices} {\n      var input_indices: ${e.type.indices};\n      for (var i:u32 = 0; i < ${o.length}; i++) {\n        var output_index = ${t.indicesGet("output_indices","i")};\n        var input_index: u32;\n        var scale = ${fe("uniforms.scales","i",i)};\n        if (scale == 1.0) {\n          input_index = output_index;\n        } else {\n          var roi_low = ${fe("uniforms.roi","i",u)};\n          var roi_hi = ${fe("uniforms.roi",`i + ${r.length}`,u)};\n          var input_shape_i = ${fe("uniforms.input_shape","i",r.length)};\n          var output_shape_i = ${fe("uniforms.output_shape","i",o.length)};\n          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,\n                                                                        input_shape_i, roi_low, roi_hi);\n          if (!${a} || (original_idx >= 0 && original_idx < ${t.type.value}(input_shape_i))) {\n            if (original_idx < 0) {\n              input_index = 0;\n            } else if (original_idx > ${t.type.value}(input_shape_i - 1)) {\n              input_index = input_shape_i - 1;\n            } else {\n              input_index = u32(getNearestPixelFromOriginal(original_idx, scale < 1));\n            }\n          } else {\n            input_index = u32(original_idx);\n          }\n        }\n        ${e.indicesSet("input_indices","i"," input_index")}\n      }\n      return input_indices;\n    }`,Pp=(e,t)=>`\n    fn checkInputIndices(input_indices: ${e.type.indices}) -> bool {\n      for (var i:u32 = 0; i < ${t.length}; i++) {\n        var input_index = ${e.indicesGet("input_indices","i")};\n        if (input_index < 0 || input_index >= ${fe("uniforms.input_shape","i",t.length)}) {\n          return false;\n        }\n      }\n      return true;\n    }`,fd=(e,t,r,o)=>e.rank>o?`\n    ${e.indicesSet("input_indices",t,"channel")};\n    ${e.indicesSet("input_indices",r,"batch")};\n`:"",kp=(e,t,r,o,i)=>{let[a,c,p,h]=r.length===2?[-1,0,1,-1]:[0,2,3,1],d=e.type.value;return`\n    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${d} {\n      var input_indices: ${e.type.indices};\n      ${e.indicesSet("input_indices",c,`max(0, min(row, ${r[c]} - 1))`)};\n      ${e.indicesSet("input_indices",p,`max(0, min(col, ${r[p]} - 1))`)};\n      ${fd(e,h,a,2)}\n      return ${e.getByIndices("input_indices")};\n    }\n\n    fn bilinearInterpolation(output_indices: ${t.type.indices}) -> ${d} {\n      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);\n      var row:${d} = originalIndices[${c}];\n      var col:${d} = originalIndices[${p}];\n      ${o?`if (row < 0 || row > (${r[c]} - 1) || col < 0 || col > (${r[p]} - 1)) {\n        return ${i};\n      }`:""};\n      row = max(0, min(row, ${r[c]} - 1));\n      col = max(0, min(col, ${r[p]} - 1));\n      var row1: u32 = u32(row);\n      var col1: u32 = u32(col);\n      var row2: u32 = u32(row + 1);\n      var col2: u32 = u32(col + 1);\n      var channel: u32 = ${r.length>2?`u32(originalIndices[${h}])`:"0"};\n      var batch: u32 =  ${r.length>2?`u32(originalIndices[${a}])`:"0"};\n      var x11: ${d} = getInputValue(batch, channel, row1, col1);\n      var x12: ${d} = getInputValue(batch, channel, row1, col2);\n      var x21: ${d} = getInputValue(batch, channel, row2, col1);\n      var x22: ${d} = getInputValue(batch, channel, row2, col2);\n      var dx1: ${d} = abs(row - ${d}(row1));\n      var dx2: ${d} = abs(${d}(row2) - row);\n      var dy1: ${d} = abs(col - ${d}(col1));\n      var dy2: ${d} = abs(${d}(col2) - col);\n      if (row1 == row2) {\n        dx1 = 0.5;\n        dx2 = 0.5;\n      }\n      if (col1 == col2) {\n        dy1 = 0.5;\n        dy2 = 0.5;\n      }\n      return (x11 * dx2 * dy2 + x12 * dx2 * dy1 + x21 * dx1 * dy2 + x22 * dx1 * dy1);\n    }`},Op=(e,t,r,o,i,u,a,c,p,h)=>{let d=r.length===2,y=!0,[w,_]=d?[0,1]:y?[2,3]:[1,2],v=e.type.value,S=A=>{let I=A===w?"row":"col";return`\n      fn ${I}CubicInterpolation(input_indices: ${e.type.indices}, output_indices: ${t.type.indices}) -> ${v} {\n        var output_index = ${t.indicesGet("output_indices",A)};\n        var originalIdx: ${v} = getOriginalCoordinateFromResizedCoordinate(output_index, ${i[A]},\n        ${o[A]}, ${r[A]}, ${u[A]}, ${u[A]} + ${r.length});\n        var fractOriginalIdx: ${v} = originalIdx - floor(originalIdx);\n        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);\n\n        if (${c} && (originalIdx < 0 || originalIdx > (${r[A]} - 1))) {\n          return ${p};\n        }\n        var data: array<${v}, 4> = array<${v}, 4>(0.0, 0.0, 0.0, 0.0);\n        for (var i: i32 = -1; i < 3; i++) {\n          var ${I}: ${v} = originalIdx + ${v}(i);\n          if (${I} < 0 || ${I} >= ${r[A]}) {\n            ${(()=>h?`coefs[i + 1] = 0.0;\n                        continue;`:c?`return ${p};`:`${I} = max(0, min(${I}, ${r[A]} - 1));`)()};\n          }\n        var input_indices_copy: ${e.type.indices} = input_indices;\n          ${e.indicesSet("input_indices_copy",A,`u32(${I})`)};\n          data[i + 1] = ${A===w?e.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};\n        }\n        return cubicInterpolation1D(data, coefs);\n      }`};return`\n    ${S(w)};\n    ${S(_)};\n  fn getCubicInterpolationCoefs(s: ${v}) -> array<${v}, 4> {\n    var absS = abs(s);\n    var coeffs: array<${v}, 4> = array<${v}, 4>(0.0, 0.0, 0.0, 0.0);\n    var oneMinusAbsS: ${v} = 1.0 - absS;\n    var twoMinusAbsS: ${v} = 2.0 - absS;\n    var onePlusAbsS: ${v} = 1.0 + absS;\n    coeffs[0] = ((${a} * onePlusAbsS - 5 * ${a}) * onePlusAbsS + 8 * ${a}) * onePlusAbsS - 4 * ${a};\n    coeffs[1] = ((${a} + 2) * absS - (${a} + 3)) * absS * absS + 1;\n    coeffs[2] = ((${a} + 2) * oneMinusAbsS - (${a} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;\n    coeffs[3] = ((${a} * twoMinusAbsS - 5 * ${a}) * twoMinusAbsS + 8 * ${a}) * twoMinusAbsS - 4 * ${a};\n    return coeffs;\n  }\n\n  fn cubicInterpolation1D(x: array<${v}, 4>, coefs: array<${v}, 4>) -> ${v} {\n    var coefsSum: ${v} = coefs[0] + coefs[1] + coefs[2] + coefs[3];\n    return (x[0] * coefs[0] + x[1] * coefs[1]+ x[2] * coefs[2]+ x[3] * coefs[3]) / coefsSum;\n  }\n\n  fn bicubicInterpolation(output_indices: ${t.type.indices}) -> ${v} {\n    var input_indices: ${e.type.indices} = output_indices;\n    return colCubicInterpolation(input_indices, output_indices);\n  }\n    `},Rp=(e,t,r,o,i)=>{let[a,c,p,h,d]=r.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],y=e.type.value;return`\n    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${y} {\n      var input_indices: ${e.type.indices};\n      ${e.indicesSet("input_indices",c,`max(0, min(depth, ${r[c]} - 1))`)};\n      ${e.indicesSet("input_indices",p,`max(0, min(height, ${r[p]} - 1))`)};\n      ${e.indicesSet("input_indices",h,`max(0, min(width, ${r[h]} - 1))`)};\n      ${fd(e,d,a,3)}\n      return ${e.getByIndices("input_indices")};\n    }\n\n    fn trilinearInterpolation(output_indices: ${t.type.indices}) -> ${y} {\n      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);\n      var depth:${y} = originalIndices[${c}];\n      var height:${y} = originalIndices[${p}];\n      var width:${y} = originalIndices[${h}];\n      ${o?`if (depth < 0 || depth > (${r[c]} - 1) || height < 0 || height > (${r[p]} - 1) || width < 0 || (width > ${r[h]} - 1)) {\n      return ${i};\n        }`:""};\n\n    depth = max(0, min(depth, ${r[c]} - 1));\n      height = max(0, min(height, ${r[p]} - 1));\n      width = max(0, min(width, ${r[h]} - 1));\n      var depth1: u32 = u32(depth);\n      var height1: u32 = u32(height);\n      var width1: u32 = u32(width);\n      var depth2: u32 = u32(depth + 1);\n      var height2: u32 = u32(height + 1);\n      var width2: u32 = u32(width + 1);\n      var channel: u32 = ${r.length>3?`u32(originalIndices[${d}])`:"0"};\n      var batch: u32 =  ${r.length>3?`u32(originalIndices[${a}])`:"0"};\n\n      var x111: ${y} = getInputValue(batch, channel, depth1, height1, width1);\n      var x112: ${y} = getInputValue(batch, channel, depth1, height1, width2);\n      var x121: ${y} = getInputValue(batch, channel, depth1, height2, width1);\n      var x122: ${y} = getInputValue(batch, channel, depth1, height2, width2);\n      var x211: ${y} = getInputValue(batch, channel, depth2, height1, width1);\n      var x212: ${y} = getInputValue(batch, channel, depth2, height1, width2);\n      var x221: ${y} = getInputValue(batch, channel, depth2, height2, width1);\n      var x222: ${y} = getInputValue(batch, channel, depth2, height2, width2);\n      var dx1: ${y} = abs(depth - ${y}(depth1));\n      var dx2: ${y} = abs(${y}(depth2) - depth);\n      var dy1: ${y} = abs(height - ${y}(height1));\n      var dy2: ${y} = abs(${y}(height2) - height);\n      var dz1: ${y} = abs(width - ${y}(width1));\n      var dz2: ${y} = abs(${y}(width2) - width);\n      if (depth1 == depth2) {\n        dx1 = 0.5;\n        dx2 = 0.5;\n      }\n      if (height1 == height2) {\n        dy1 = 0.5;\n        dy2 = 0.5;\n      }\n      if (width1 == width2) {\n        dz1 = 0.5;\n        dz2 = 0.5;\n      }\n      return (x111 * dx2 * dy2 * dz2 + x112 * dx2 * dy2 * dz1 + x121 * dx2 * dy1 *dz2 + x122 * dx2 * dy1 * dz1 +\n              x211 * dx1 * dy2 * dz2 + x212 * dx1 * dy2 * dz1 + x221 * dx1 * dy1 *dz2 + x222 * dx1 * dy1 * dz1);\n    }`},Bp=(e,t,r,o,i,u)=>{let a=e.dims,c=Cp(u,t.axes,a.length),p=Ap(a,o,i,t.axes),h=o.slice();o.length===0&&(h=a.map((x,E)=>x===0?1:p[E]/x),t.keepAspectRatioPolicy!=="stretch"&&(p=Ip(a,h,t)));let d=j("output",e.dataType,p.length),y=U("input",e.dataType,a.length),w=M.size(p),_=a.length===p.length&&a.every((x,E)=>x===p[E]),v=t.coordinateTransformMode==="tf_crop_and_resize",S=t.extrapolationValue,A=y.type.value,I=x=>`\n      ${_?"":`\n      ${Sp(t.coordinateTransformMode,A)};\n      ${(()=>{switch(t.mode){case"nearest":return`\n              ${Pp(y,a)};\n              ${xp(t.nearestMode,r,A)};\n              ${Ep(y,d,a,p,h.length,c.length,v)};\n              `;case"linear":return`\n              ${Tp(d,a,p,h.length,c.length)};\n              ${(()=>{if(a.length===2||a.length===4)return`${kp(y,d,a,v,S)}`;if(a.length===3||a.length===5)return`${Rp(y,d,a,v,S)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};\n            `;case"cubic":return`\n            ${(()=>{if(a.length===2||a.length===4)return`${Op(y,d,a,p,h,c,t.cubicCoeffA,v,t.extrapolationValue,t.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};\n            `;default:throw Error("Invalid resize mode")}})()};\n      `}\n      ${x.registerUniform("output_size","u32").registerUniform("scales","f32",h.length).registerUniform("roi","f32",c.length).declareVariables(y,d)}\n      ${x.mainStart()}\n        ${x.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}\n        ${_?"output[global_idx] = input[global_idx];":`\n        let output_indices = ${d.offsetToIndices("global_idx")};\n        var input_indices: ${y.type.indices};\n        ${(()=>{switch(t.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);\n                if (checkInputIndices(input_indices)) {\n                  output[global_idx] = ${y.getByIndices("input_indices")};\n                } else {\n                  output[global_idx] = ${t.extrapolationValue};\n                }`;case"linear":return`output[global_idx] = ${a.length===2||a.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${t.mode}`)}})()};\n`}\n      }`;return{name:"Resize",shaderCache:{hint:`${t.cacheKey}|${r}|${h.length>0?h:""}|${i.length>0?i:""}|${c.length>0?c:""}|${_}|${a}`,inputDependencies:["rank"]},getShaderSource:I,getRunData:()=>({outputs:[{dims:p,dataType:e.dataType}],dispatchGroup:{x:Math.ceil(w/64)},programUniforms:[{type:12,data:w},{type:1,data:h},{type:1,data:c},...Z(a,p)]})}},Dp=e=>{let t=e.customDataBuffer;return new Uint32Array(t,t.byteOffset,1)[0]},hd=(e,t)=>{let r=[],o=[],i=[],u=Dp(e);if(t.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");_p(e.inputs,t,u,r,o,i),e.compute(Bp(e.inputs[0],t,u,r,o,i),{inputs:[0]})},gd=e=>{let t=e.antialias,r=e.axes,o=e.coordinateTransformMode,i=e.cubicCoeffA,u=e.excludeOutside!==0,a=e.extrapolationValue,c=e.keepAspectRatioPolicy,p=e.mode,h=e.nearestMode===""?"simple":e.nearestMode;return ve({antialias:t,axes:r,coordinateTransformMode:o,cubicCoeffA:i,excludeOutside:u,extrapolationValue:a,keepAspectRatioPolicy:c,mode:p,nearestMode:h})}});var zp,Mp,bd,wd=Y(()=>{"use strict";ye();Se();Ze();_e();zp=(e,t)=>{let[r,o,i,u]=e,{numHeads:a,rotaryEmbeddingDim:c}=t;if(r.dims.length!==3&&r.dims.length!==4)throw new Error(`Input \'x\' is expected to have 3 or 4 dimensions, got ${r.dims.length}`);if(!M.areEqual(o.dims,[])&&!M.areEqual(o.dims,[1])&&o.dims.length!==2)throw new Error(`Input \'position_ids\' is expected to have 0, 1, or 2 dimensions, got ${o.dims.length}`);if(i.dims.length!==2)throw new Error(`Input \'cos_cache\' is expected to have 2 dimensions, got ${i.dims.length}`);if(u.dims.length!==2)throw new Error(`Input \'sin_cache\' is expected to have 2 dimensions, got ${u.dims.length}`);if(!M.areEqual(i.dims,u.dims))throw new Error("Inputs \'cos_cache\' and \'sin_cache\' are expected to have the same shape");if(c>0&&a===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let p=r.dims[0],h=r.dims[r.dims.length-2],d=i.dims[0],y=M.sizeFromDimension(r.dims,1)/h,w=c===0?i.dims[1]*2:y/a;if(c>w)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(o.dims.length===2){if(p!==o.dims[0])throw new Error(`Input \'position_ids\' dimension 0 should be of size batch_size, got ${o.dims[0]}`);if(h!==o.dims[1])throw new Error(`Input \'position_ids\' dimension 1 should be of size sequence_length, got ${o.dims[1]}`)}if(w/2!==i.dims[1]&&c/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(h>d)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},Mp=(e,t)=>{let{interleaved:r,numHeads:o,rotaryEmbeddingDim:i,scale:u}=t,a=e[0].dims[0],c=M.sizeFromDimension(e[0].dims,1),p=e[0].dims[e[0].dims.length-2],h=c/p,d=e[2].dims[1],y=i===0?d*2:h/o,w=new Array(a,p,h/y,y-d),_=M.computeStrides(w),v=[{type:1,data:u},{type:12,data:w},{type:12,data:_},...e[0].dims.length===3?new Array({type:12,data:[c,h,y,1]}):[],...e[0].dims.length===4?new Array({type:12,data:[c,y,p*y,1]}):[],...Z(e[0].dims,e[1].dims,e[2].dims,e[3].dims,e[0].dims)],S=A=>{let I=U("input",e[0].dataType,e[0].dims.length),x=U("position_ids",e[1].dataType,e[1].dims.length),E=U("cos_cache",e[2].dataType,e[2].dims.length),P=U("sin_cache",e[3].dataType,e[3].dims.length),O=j("output",e[0].dataType,e[0].dims.length);return A.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:w.length},{name:"global_strides",type:"u32",length:_.length},{name:"input_output_strides",type:"u32",length:_.length}]),`\n        ${A.declareVariables(I,x,E,P,O)}\n\n        ${A.mainStart(or)}\n          let half_rotary_emb_dim = uniforms.${E.name}_shape[1];\n          let bsnh = global_idx / uniforms.global_strides % uniforms.global_shape;\n          let size = uniforms.global_shape[0] * uniforms.global_strides[0];\n          ${A.guardAgainstOutOfBoundsWorkgroupSizes("size")}\n\n          if (bsnh[3] < half_rotary_emb_dim) {\n            let position_ids_idx =\n                ${x.broadcastedIndicesToOffset("bsnh.xy",j("",x.type.tensor,2))};\n            let position_id =\n                u32(${x.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);\n            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${r});\n            let j = i + select(half_rotary_emb_dim, 1, ${r});\n            let re = ${I.getByOffset("i")} * ${E.get("position_id","bsnh[3]")} -\n                ${I.getByOffset("j")} * ${P.get("position_id","bsnh[3]")};\n            ${O.setByOffset("i","re")}\n            let im = ${I.getByOffset("i")} * ${P.get("position_id","bsnh[3]")} +\n                ${I.getByOffset("j")} * ${E.get("position_id","bsnh[3]")};\n            ${O.setByOffset("j","im")}\n          } else {\n            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;\n            ${O.setByOffset("k",I.getByOffset("k"))}\n          }\n        }`};return{name:"RotaryEmbedding",shaderCache:{hint:ve({interleaved:r}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:S,getRunData:()=>({outputs:[{dims:e[0].dims,dataType:e[0].dataType}],dispatchGroup:{x:Math.ceil(M.size(w)/or)},programUniforms:v})}},bd=(e,t)=>{zp(e.inputs,t),e.compute(Mp(e.inputs,t))}});var Up,Vp,vd,$d=Y(()=>{"use strict";ye();Se();_e();Up=e=>{if(!e||e.length<3)throw new Error("layerNorm requires at least 3 inputs.");let t=e[0],r=e[1],o=e[2];if(t.dataType!==r.dataType||t.dataType!==o.dataType)throw new Error("All inputs must have the same data type");if(t.dims.length!==3&&t.dims.length!==2)throw new Error("Input must be 2D or 3D");if(r.dims.length!==3&&r.dims.length!==2)throw new Error("Skip must be 2D or 3D");let i=t.dims[t.dims.length-1],u=t.dims[t.dims.length-2];if(r.dims[r.dims.length-1]!==i)throw new Error("Skip must have the same hidden size as input");if(r.dims[r.dims.length-2]!==u)throw new Error("Skip must have the same sequence length as input");if(o.dims.length!==1)throw new Error("Gamma must be 1D");if(o.dims[o.dims.length-1]!==i)throw new Error("Gamma must have the same hidden size as input");if(e.length>3){let a=e[3];if(a.dims.length!==1)throw new Error("Beta must be 1D");if(a.dims[a.dims.length-1]!==i)throw new Error("Beta must have the same hidden size as input")}if(e.length>4){let a=e[4];if(a.dims.length!==1)throw new Error("Bias must be 1D");if(a.dims[a.dims.length-1]!==i)throw new Error("Bias must have the same hidden size as input")}},Vp=(e,t,r,o)=>{let i=t.simplified,u=e[0].dims,a=M.size(u),c=u,p=a,h=u.slice(-1)[0],d=o?u.slice(0,-1).concat(1):[],y=!i&&e.length>3,w=e.length>4,_=o&&r>1,v=o&&r>2,S=r>3,A=Me(h),I=[{type:12,data:p},{type:12,data:A},{type:12,data:h},{type:1,data:t.epsilon}],x=P=>{let O=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],R=[U("x",e[0].dataType,e[0].dims,A),U("skip",e[1].dataType,e[1].dims,A),U("gamma",e[2].dataType,e[2].dims,A)];y&&R.push(U("beta",e[3].dataType,e[3].dims,A)),w&&R.push(U("bias",e[4].dataType,e[4].dims,A)),R.push(j("output",e[0].dataType,c,A)),_&&R.push(j("mean_output",1,d)),v&&R.push(j("inv_std_output",1,d)),S&&R.push(j("input_skip_bias_sum",e[0].dataType,c,A));let L=De(e[0].dataType);return`\n\n      ${P.registerUniforms(O).declareVariables(...R)}\n\n      ${P.mainStart()}\n        ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size / uniforms.hidden_size")}\n        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;\n        let offset = global_idx * hidden_size_vectorized;\n        var sum = ${$t("f32",A)};\n        var squareSum = ${$t("f32",A)};\n        for (var i: u32 = 0; i < hidden_size_vectorized; i++) {\n          let skip_value = skip[offset + i];\n          let bias_value = ${w?"bias[i]":L+"(0.0)"};\n          let input_value = x[offset + i];\n          let value = input_value + skip_value + bias_value;\n          ${S?"input_skip_bias_sum[offset + i] = value;":""}\n          output[offset + i] = value;\n          let f32_value = ${ir(L,A,"value")};\n          sum += f32_value;\n          squareSum += f32_value * f32_value;\n        }\n        let mean = ${_t("sum",A)} / f32(uniforms.hidden_size);\n        let inv_std_dev = inverseSqrt(${_t("squareSum",A)} / f32(uniforms.hidden_size) ${i?"":"- mean * mean"} + uniforms.epsilon);\n        ${_?"mean_output[global_idx] = mean;":""}\n        ${v?"inv_std_output[global_idx] = inv_std_dev;":""}\n        for (var i: u32 = 0; i < hidden_size_vectorized; i++) {\n          output[offset + i] = (output[offset + i] ${i?"":`- ${L}(mean)`}) * ${L}(inv_std_dev) * gamma[i] ${y?"+ beta[i]":""};\n        }\n      }`},E=[{dims:c,dataType:e[0].dataType}];return r>1&&E.push({dims:d,dataType:1}),r>2&&E.push({dims:d,dataType:1}),r>3&&E.push({dims:u,dataType:e[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${A};${_};${v};${S}`,inputDependencies:e.map((P,O)=>"type")},getShaderSource:x,getRunData:()=>({outputs:E,dispatchGroup:{x:Math.ceil(p/h/64)},programUniforms:I})}},vd=(e,t)=>{Up(e.inputs);let o=[0];e.outputCount>1&&o.push(-3),e.outputCount>2&&o.push(-3),e.outputCount>3&&o.push(3),e.compute(Vp(e.inputs,t,e.outputCount,!1),{outputs:o})}});var Wp,Gn,Np,_d,Gp,Hp,Sd,xd,Cd=Y(()=>{"use strict";ye();Se();Ze();_e();Wp=(e,t)=>{if(!e||e.length<1)throw new Error("too few inputs");if(t.axes.length!==0){if(t.axes.length!==t.starts.length||t.axes.length!==t.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(t.starts.length!==t.ends.length)throw new Error("starts and ends must have the same length");e.slice(1).forEach((r,o)=>{if(e[o+1].dataType!==6&&e[o+1].dataType!==7)throw new Error(`Input ${o} must be an array of int32 or int64`)})},Gn=(e,t)=>{let r=[];if(e.length>t)if(e[t].dataType===7)e[t].getBigInt64Array().forEach(o=>r.push(Number(o)));else if(e[t].dataType===6)e[t].getInt32Array().forEach(o=>r.push(Number(o)));else throw new Error(`Input ${t} must be an array of int32 or int64`);return r},Np=(e,t)=>{if(e.length>1){let r=Gn(e,1),o=Gn(e,2),i=Gn(e,3);return i.length===0&&(i=[...Array(e[0].dims.length).keys()]),ve({starts:r,ends:o,axes:i})}else return t},_d=(e,t,r,o,i)=>{let u=e;return e<0&&(u+=r[o[t]]),i[t]<0?Math.max(0,Math.min(u,r[o[t]]-1)):Math.max(0,Math.min(u,r[o[t]]))},Gp=(e,t,r)=>`fn calculateInputIndices(output_indices: ${t.type.indices}) -> ${e.type.indices} {\n          var input_indices: ${e.type.indices};\n          var carry = 0u;\n          for (var i = ${r.length}; i >= 0; i--) {\n            let input_shape_i = ${fe("uniforms.input_shape","i",r.length)};\n            let steps_i = ${fe("uniforms.steps","i",r.length)};\n            let signs_i = ${fe("uniforms.signs","i",r.length)};\n            let starts_i = ${fe("uniforms.starts","i",r.length)};\n            var output_index = ${t.indicesGet("output_indices","i")};\n            var input_index = output_index * steps_i + starts_i + carry;\n            carry = input_index / input_shape_i;\n            input_index = input_index % input_shape_i;\n            if (signs_i < 0) {\n              input_index = input_shape_i - input_index - 1u + starts_i;\n            }\n            ${e.indicesSet("input_indices","i","input_index")};\n          }\n          return input_indices;\n      }`,Hp=(e,t)=>{let r=e[0].dims,o=M.size(r),i=t.axes.length>0?M.normalizeAxes(t.axes,r.length):[...Array(r.length).keys()],u=Gn(e,4);u.forEach(I=>I!==0||(()=>{throw new Error("step cannot be 0")})),u.length===0&&(u=Array(i.length).fill(1));let a=t.starts.map((I,x)=>_d(I,x,r,i,u)),c=t.ends.map((I,x)=>_d(I,x,r,i,u));if(i.length!==a.length||i.length!==c.length)throw new Error("start, ends and axes should have the same number of elements");if(i.length!==r.length)for(let I=0;I<r.length;++I)i.includes(I)||(a.splice(I,0,0),c.splice(I,0,r[I]),u.splice(I,0,1));let p=u.map(I=>Math.sign(I));u.forEach((I,x,E)=>{if(I<0){let P=(c[x]-a[x])/I,O=a[x],R=O+P*u[x];a[x]=R,c[x]=O,E[x]=-I}});let h=r.slice(0);i.forEach((I,x)=>{h[I]=Math.ceil((c[I]-a[I])/u[I])});let 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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n'}),Si,dr,Ra,$s,Rs,ec,qo,Vi,Hi,Wm,Is,iw,aw,sw,ow,lw,uw,cw,dw=Ce(()=>{Ur(),V2(),ao(),Si=()=>!!Kt.wasm.proxy&&typeof document<"u",Ra=!1,$s=!1,Rs=!1,qo=new Map,Vi=(n,e)=>{let t=qo.get(n);t?t.push(e):qo.set(n,[e])},Hi=()=>{if(Ra||!$s||Rs||!dr)throw new Error("worker not 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fetchModelAndCopyToWasmMemory(n){return sw(await Ol(n))}async loadModel(n,e){Nr();let t;typeof n=="string"?typeof process<"u"&&process.versions&&process.versions.node?t=await Ol(n):t=await this.fetchModelAndCopyToWasmMemory(n):t=n,[this.sessionId,this.inputNames,this.outputNames]=await ow(t,e),yr()}async dispose(){return lw(this.sessionId)}async run(n,e,t){Nr();let r=[],i=[];Object.entries(n).forEach(h=>{let p=h[0],d=h[1],m=this.inputNames.indexOf(p);if(m===-1)throw new Error(`invalid input '${p}'`);r.push(d),i.push(m)});let a=[],s=[];Object.entries(e).forEach(h=>{let p=h[0],d=h[1],m=this.outputNames.indexOf(p);if(m===-1)throw new Error(`invalid output '${p}'`);a.push(d),s.push(m)});let o=r.map((h,p)=>tc(h,()=>`input "${this.inputNames[i[p]]}"`)),l=a.map((h,p)=>h?tc(h,()=>`output "${this.outputNames[s[p]]}"`):null),u=await uw(this.sessionId,i,o,s,l,t),c={};for(let h=0;h<u.length;h++)c[this.outputNames[s[h]]]=a[h]??Vm(u[h]);return yr(),c}startProfiling(){}endProfiling(){cw(this.sessionId)}}}),Hm,pw,j2=Ce(()=>{Ur(),dw(),q2(),Hm=()=>{if((typeof Kt.wasm.initTimeout!="number"||Kt.wasm.initTimeout<0)&&(Kt.wasm.initTimeout=0),typeof Kt.wasm.simd!="boolean"&&(Kt.wasm.simd=!0),typeof Kt.wasm.proxy!="boolean"&&(Kt.wasm.proxy=!1),typeof Kt.wasm.trace!="boolean"&&(Kt.wasm.trace=!1),typeof Kt.wasm.numThreads!="number"||!Number.isInteger(Kt.wasm.numThreads)||Kt.wasm.numThreads<=0){(typeof self<"u"&&!self.crossOriginIsolated||typeof process<"u"&&process.versions&&process.versions.node)&&(Kt.wasm.numThreads=1);let n=typeof navigator>"u"?(void 0)().length:navigator.hardwareConcurrency;Kt.wasm.numThreads=Math.min(4,Math.ceil((n||1)/2))}},pw=class{async init(n){Hm(),await iw(),await aw(n)}async createInferenceSessionHandler(n,e){let t=new hw;return await t.loadModel(n,e),Promise.resolve(t)}}}),fw={};ms(fw,{wasmBackend:()=>mw});var mw,X2=Ce(()=>{j2(),mw=new pw});Ur();Ur();Ur();var Y2="1.18.0",K2=l0;{let n=(X2(),la(fw)).wasmBackend;aa("webgpu",n,5),aa("webnn",n,5),aa("cpu",n,10),aa("wasm",n,10)}Object.defineProperty(Kt.versions,"web",{value:Y2,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.
 * =============================================================================
 */const Z2=Object.freeze(Object.defineProperty({__proto__:null,get InferenceSession(){return gd},get TRACE(){return js},get TRACE_FUNC_BEGIN(){return Nr},get TRACE_FUNC_END(){return yr},get Tensor(){return jn},get TrainingSession(){return _d},default:K2,get env(){return Kt},get registerBackend(){return aa}},Symbol.toStringTag,{value:"Module"})),Q2=(n,e)=>{const t=typeof document<"u"?document.createElement("canvas"):new OffscreenCanvas(1,1);t.width=n.dims[3],t.height=n.dims[2];const r=t.getContext("2d");if(r!=null){let i,a;e?.tensorLayout!==void 0&&e.tensorLayout==="NHWC"?(i=n.dims[2],a=n.dims[3]):(i=n.dims[3],a=n.dims[2]);const s=e?.format!==void 0?e.format:"RGB",o=e?.norm;let l,u;o===void 0||o.mean===void 0?l=[255,255,255,255]:typeof o.mean=="number"?l=[o.mean,o.mean,o.mean,o.mean]:(l=[o.mean[0],o.mean[1],o.mean[2],0],o.mean[3]!==void 0&&(l[3]=o.mean[3])),o===void 0||o.bias===void 0?u=[0,0,0,0]:typeof o.bias=="number"?u=[o.bias,o.bias,o.bias,o.bias]:(u=[o.bias[0],o.bias[1],o.bias[2],0],o.bias[3]!==void 0&&(u[3]=o.bias[3]));const c=a*i;let h=0,p=c,d=c*2,m=-1;s==="RGBA"?(h=0,p=c,d=c*2,m=c*3):s==="RGB"?(h=0,p=c,d=c*2):s==="RBG"&&(h=0,d=c,p=c*2);for(let y=0;y<a;y++)for(let g=0;g<i;g++){const _=(n.data[h++]-u[0])*l[0],w=(n.data[p++]-u[1])*l[1],b=(n.data[d++]-u[2])*l[2],E=m===-1?255:(n.data[m++]-u[3])*l[3];r.fillStyle="rgba("+_+","+w+","+b+","+E+")",r.fillRect(g,y,1,1)}if("toDataURL"in t)return t.toDataURL();throw new Error("toDataURL is not supported")}else throw new Error("Can not access image data")},J2=(n,e)=>{const t=typeof document<"u"?document.createElement("canvas").getContext("2d"):new OffscreenCanvas(1,1).getContext("2d");let r;if(t!=null){let i,a,s;e?.tensorLayout!==void 0&&e.tensorLayout==="NHWC"?(i=n.dims[2],a=n.dims[1],s=n.dims[3]):(i=n.dims[3],a=n.dims[2],s=n.dims[1]);const o=e!==void 0&&e.format!==void 0?e.format:"RGB",l=e?.norm;let u,c;l===void 0||l.mean===void 0?u=[255,255,255,255]:typeof l.mean=="number"?u=[l.mean,l.mean,l.mean,l.mean]:(u=[l.mean[0],l.mean[1],l.mean[2],255],l.mean[3]!==void 0&&(u[3]=l.mean[3])),l===void 0||l.bias===void 0?c=[0,0,0,0]:typeof l.bias=="number"?c=[l.bias,l.bias,l.bias,l.bias]:(c=[l.bias[0],l.bias[1],l.bias[2],0],l.bias[3]!==void 0&&(c[3]=l.bias[3]));const h=a*i;if(e!==void 0&&(e.format!==void 0&&s===4&&e.format!=="RGBA"||s===3&&e.format!=="RGB"&&e.format!=="BGR"))throw new Error("Tensor format doesn't match input tensor dims");const p=4;let d=0,m=1,y=2,g=3,_=0,w=h,b=h*2,E=-1;o==="RGBA"?(_=0,w=h,b=h*2,E=h*3):o==="RGB"?(_=0,w=h,b=h*2):o==="RBG"&&(_=0,b=h,w=h*2),r=t.createImageData(i,a);for(let T=0;T<a*i;d+=p,m+=p,y+=p,g+=p,T++)r.data[d]=(n.data[_++]-c[0])*u[0],r.data[m]=(n.data[w++]-c[1])*u[1],r.data[y]=(n.data[b++]-c[2])*u[2],r.data[g]=E===-1?255:(n.data[E++]-c[3])*u[3]}else throw new Error("Can not access image data");return r},nc=(n,e)=>{if(n===void 0)throw new Error("Image buffer must be defined");if(e.height===void 0||e.width===void 0)throw new Error("Image height and width must be defined");if(e.tensorLayout==="NHWC")throw new Error("NHWC Tensor layout is not supported yet");const{height:t,width:r}=e,i=e.norm??{mean:255,bias:0};let a,s;typeof i.mean=="number"?a=[i.mean,i.mean,i.mean,i.mean]:a=[i.mean[0],i.mean[1],i.mean[2],i.mean[3]??255],typeof i.bias=="number"?s=[i.bias,i.bias,i.bias,i.bias]:s=[i.bias[0],i.bias[1],i.bias[2],i.bias[3]??0];const o=e.format!==void 0?e.format:"RGBA",l=e.tensorFormat!==void 0&&e.tensorFormat!==void 0?e.tensorFormat:"RGB",u=t*r,c=l==="RGBA"?new Float32Array(u*4):new Float32Array(u*3);let h=4,p=0,d=1,m=2,y=3,g=0,_=u,w=u*2,b=-1;o==="RGB"&&(h=3,p=0,d=1,m=2,y=-1),l==="RGBA"?b=u*3:l==="RBG"?(g=0,w=u,_=u*2):l==="BGR"&&(w=0,_=u,g=u*2);for(let T=0;T<u;T++,p+=h,m+=h,d+=h,y+=h)c[g++]=(n[p]+s[0])/a[0],c[_++]=(n[d]+s[1])/a[1],c[w++]=(n[m]+s[2])/a[2],b!==-1&&y!==-1&&(c[b++]=(n[y]+s[3])/a[3]);return l==="RGBA"?new jr("float32",c,[1,4,t,r]):new jr("float32",c,[1,3,t,r])},eS=async(n,e)=>{const t=typeof HTMLImageElement<"u"&&n instanceof HTMLImageElement,r=typeof ImageData<"u"&&n instanceof ImageData,i=typeof ImageBitmap<"u"&&n instanceof ImageBitmap,a=typeof n=="string";let s,o=e??{};const l=()=>{if(typeof document<"u")return document.createElement("canvas");if(typeof OffscreenCanvas<"u")return new OffscreenCanvas(1,1);throw new Error("Canvas is not supported")},u=c=>c instanceof HTMLCanvasElement||c instanceof OffscreenCanvas?c.getContext("2d"):null;if(t){const c=l();c.width=n.width,c.height=n.height;const h=u(c);if(h!=null){let p=n.height,d=n.width;if(e!==void 0&&e.resizedHeight!==void 0&&e.resizedWidth!==void 0&&(p=e.resizedHeight,d=e.resizedWidth),e!==void 0){if(o=e,e.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");o.tensorFormat="RGBA",o.height=p,o.width=d}else o.tensorFormat="RGBA",o.height=p,o.width=d;h.drawImage(n,0,0),s=h.getImageData(0,0,d,p).data}else throw new Error("Can not access image data")}else if(r){let c,h;if(e!==void 0&&e.resizedWidth!==void 0&&e.resizedHeight!==void 0?(c=e.resizedHeight,h=e.resizedWidth):(c=n.height,h=n.width),e!==void 0&&(o=e),o.format="RGBA",o.height=c,o.width=h,e!==void 0){const p=l();p.width=h,p.height=c;const d=u(p);if(d!=null)d.putImageData(n,0,0),s=d.getImageData(0,0,h,c).data;else throw new Error("Can not access image data")}else s=n.data}else if(i){if(e===void 0)throw new Error("Please provide image config with format for Imagebitmap");const c=l();c.width=n.width,c.height=n.height;const h=u(c);if(h!=null){const p=n.height,d=n.width;return h.drawImage(n,0,0,d,p),s=h.getImageData(0,0,d,p).data,o.height=p,o.width=d,nc(s,o)}else throw new Error("Can not access image data")}else{if(a)return new Promise((c,h)=>{const p=l(),d=u(p);if(!n||!d)return h();const m=new Image;m.crossOrigin="Anonymous",m.src=n,m.onload=()=>{p.width=m.width,p.height=m.height,d.drawImage(m,0,0,p.width,p.height);const y=d.getImageData(0,0,p.width,p.height);o.height=p.height,o.width=p.width,c(nc(y.data,o))}});throw new Error("Input data provided is not supported - aborted tensor creation")}if(s!==void 0)return nc(s,o);throw new Error("Input data provided is not supported - aborted tensor creation")},tS=(n,e)=>{const{width:t,height:r,download:i,dispose:a}=e,s=[1,r,t,4];return new jr({location:"texture",type:"float32",texture:n,dims:s,download:i,dispose:a})},nS=(n,e)=>{const{dataType:t,dims:r,download:i,dispose:a}=e;return new jr({location:"gpu-buffer",type:t??"float32",gpuBuffer:n,dims:r,download:i,dispose:a})},rS=(n,e,t)=>new jr({location:"cpu-pinned",type:n,data:e,dims:t??[e.length]}),ts=new Map([["float32",Float32Array],["uint8",Uint8Array],["int8",Int8Array],["uint16",Uint16Array],["int16",Int16Array],["int32",Int32Array],["bool",Uint8Array],["float64",Float64Array],["uint32",Uint32Array]]),Ml=new Map([[Float32Array,"float32"],[Uint8Array,"uint8"],[Int8Array,"int8"],[Uint16Array,"uint16"],[Int16Array,"int16"],[Int32Array,"int32"],[Float64Array,"float64"],[Uint32Array,"uint32"]]);let qm=!1;const iS=()=>{if(!qm){qm=!0;const n=typeof BigInt64Array<"u"&&BigInt64Array.from,e=typeof BigUint64Array<"u"&&BigUint64Array.from,t=typeof Float16Array<"u"&&Float16Array.from;n&&(ts.set("int64",BigInt64Array),Ml.set(BigInt64Array,"int64")),e&&(ts.set("uint64",BigUint64Array),Ml.set(BigUint64Array,"uint64")),t?(ts.set("float16",Float16Array),Ml.set(Float16Array,"float16")):ts.set("float16",Uint16Array)}},aS=n=>{let e=1;for(let t=0;t<n.length;t++){const r=n[t];if(typeof r!="number"||!Number.isSafeInteger(r))throw new TypeError(`dims[${t}] must be an integer, got: ${r}`);if(r<0)throw new RangeError(`dims[${t}] must be a non-negative integer, got: ${r}`);e*=r}return e},sS=(n,e)=>{switch(n.location){case"cpu":return new jr(n.type,n.data,e);case"cpu-pinned":return new jr({location:"cpu-pinned",data:n.data,type:n.type,dims:e});case"texture":return new jr({location:"texture",texture:n.texture,type:n.type,dims:e});case"gpu-buffer":return new jr({location:"gpu-buffer",gpuBuffer:n.gpuBuffer,type:n.type,dims:e});default:throw new Error(`tensorReshape: tensor location ${n.location} is not supported`)}};let jr=class{constructor(e,t,r){iS();let i,a;if(typeof e=="object"&&"location"in e)switch(this.dataLocation=e.location,i=e.type,a=e.dims,e.location){case"cpu-pinned":{const o=ts.get(i);if(!o)throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`);if(!(e.data instanceof o))throw new TypeError(`buffer should be of type ${o.name}`);this.cpuData=e.data;break}case"texture":{if(i!=="float32")throw new TypeError(`unsupported type "${i}" to create tensor from texture`);this.gpuTextureData=e.texture,this.downloader=e.download,this.disposer=e.dispose;break}case"gpu-buffer":{if(i!=="float32"&&i!=="float16"&&i!=="int32"&&i!=="int64"&&i!=="uint32"&&i!=="uint8"&&i!=="bool")throw new TypeError(`unsupported type "${i}" to create tensor from gpu buffer`);this.gpuBufferData=e.gpuBuffer,this.downloader=e.download,this.disposer=e.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let o,l;if(typeof e=="string")if(i=e,l=r,e==="string"){if(!Array.isArray(t))throw new TypeError("A string tensor's data must be a string array.");o=t}else{const u=ts.get(e);if(u===void 0)throw new TypeError(`Unsupported tensor type: ${e}.`);if(Array.isArray(t)){if(e==="float16"&&u===Uint16Array)throw new TypeError("Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.");e==="uint64"||e==="int64"?o=u.from(t,BigInt):o=u.from(t)}else if(t instanceof u)o=t;else throw new TypeError(`A ${i} tensor's data must be type of ${u}`)}else if(l=t,Array.isArray(e)){if(e.length===0)throw new TypeError("Tensor type cannot be inferred from an empty array.");const u=typeof e[0];if(u==="string")i="string",o=e;else if(u==="boolean")i="bool",o=Uint8Array.from(e);else throw new TypeError(`Invalid element type of data array: ${u}.`)}else{const u=Ml.get(e.constructor);if(u===void 0)throw new TypeError(`Unsupported type for tensor data: ${e.constructor}.`);i=u,o=e}if(l===void 0)l=[o.length];else if(!Array.isArray(l))throw new TypeError("A tensor's dims must be a number array");a=l,this.cpuData=o,this.dataLocation="cpu"}const s=aS(a);if(this.cpuData&&s!==this.cpuData.length)throw new Error(`Tensor's size(${s}) does not match data length(${this.cpuData.length}).`);this.type=i,this.dims=a,this.size=s}static async fromImage(e,t){return eS(e,t)}static fromTexture(e,t){return tS(e,t)}static fromGpuBuffer(e,t){return nS(e,t)}static fromPinnedBuffer(e,t,r){return rS(e,t,r)}toDataURL(e){return Q2(this,e)}toImageData(e){return J2(this,e)}get data(){if(this.ensureValid(),!this.cpuData)throw new Error("The data is not on CPU. 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}async getData(e){switch(this.ensureValid(),this.dataLocation){case"cpu":case"cpu-pinned":return this.data;case"texture":case"gpu-buffer":{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,e&&this.disposer&&(this.disposer(),this.disposer=void 0),t}finally{this.isDownloading=!1}}default:throw new Error(`cannot get data from location: ${this.dataLocation}`)}}dispose(){if(this.isDownloading)throw new Error("The current tensor is being downloaded.");this.disposer&&(this.disposer(),this.disposer=void 0),this.cpuData=void 0,this.gpuTextureData=void 0,this.gpuBufferData=void 0,this.downloader=void 0,this.isDownloading=void 0,this.dataLocation="none"}ensureValid(){if(this.dataLocation==="none")throw new Error("The tensor is disposed.")}reshape(e){if(this.ensureValid(),this.downloader||this.disposer)throw new Error("Cannot reshape a tensor that owns GPU resource.");return sS(this,e)}};const oS=jr,Bs=[];let Qc,Ks;pa.IS_NODE_ENV?(Ks=un??c1,Bs.push("cpu"),Qc=["cpu"]):(Ks=Z2,pa.IS_WEBGPU_AVAILABLE&&Bs.push("webgpu"),Bs.push("wasm"),Qc=["wasm"]);const lS=Ks.InferenceSession;function uS(n){let e=Qc;if(n){if(!Bs.includes(n))throw new Error(`Unsupported device: "${n}". Should be one of: ${Bs.join(", ")}.`);e=[n]}return e}async function gw(n,e){return await lS.create(n,e)}function _w(n){return n instanceof Ks.Tensor}const na=Ks?.env;na?.wasm&&(na.wasm.wasmPaths="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.18.0/dist/",na.wasm.proxy=!pa.IS_WEBWORKER_ENV,(typeof crossOriginIsolated>"u"||!crossOriginIsolated)&&(na.wasm.numThreads=1),typeof navigator<"u"&&/iP(hone|od|ad).+16_4.+AppleWebKit/.test(navigator.userAgent)&&(na.wasm.simd=!1));function cS(){return na?.wasm?.proxy}er.backends.onnx=na;const Ia=async(n,e,t)=>{const r=await gw(new Uint8Array(n),e);return async i=>{const a=Object.fromEntries(Object.entries(i).map(([o,l])=>[o,l.ort_tensor])),s=await r.run(a);return Array.isArray(t)?t.map(o=>new je(s[o])):new je(s[t])}};class Fl{static session_options={};static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=Ia([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=Ia([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=Ia([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=Ia([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=Ia([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=Ia([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}}const jm=Object.freeze({float32:Float32Array,float16:Uint16Array,float64:Float64Array,string:Array,int8:Int8Array,uint8:Uint8Array,int16:Int16Array,uint16:Uint16Array,int32:Int32Array,uint32:Uint32Array,int64:BigInt64Array,uint64:BigUint64Array,bool:Uint8Array});class je{get dims(){return this.ort_tensor.dims}set dims(e){this.ort_tensor.dims=e}get type(){return this.ort_tensor.type}get data(){return this.ort_tensor.data}get size(){return this.ort_tensor.size}get location(){return this.ort_tensor.location}ort_tensor;constructor(...e){return _w(e[0])?this.ort_tensor=e[0]:this.ort_tensor=new oS(e[0],e[1],e[2]),new Proxy(this,{get:(t,r)=>{if(typeof r=="string"){let i=Number(r);if(Number.isInteger(i))return t._getitem(i)}return t[r]},set:(t,r,i)=>t[r]=i})}dispose(){this.ort_tensor.dispose()}*[Symbol.iterator](){const[e,...t]=this.dims;if(t.length>0){const r=t.reduce((i,a)=>i*a);for(let i=0;i<e;++i)yield this._subarray(i,r,t)}else yield*this.data}_getitem(e){const[t,...r]=this.dims;if(e=Vr(e,t),r.length>0){const i=r.reduce((a,s)=>a*s);return this._subarray(e,i,r)}else return new je(this.type,[this.data[e]],r)}indexOf(e){const t=this.data;for(let r=0;r<t.length;++r)if(t[r]==e)return r;return-1}_subarray(e,t,r){const i=e*t,a=(e+1)*t,s="subarray"in this.data?this.data.subarray(i,a):this.data.slice(i,a);return new je(this.type,s,r)}item(){const e=this.data;if(e.length!==1)throw new Error(`a Tensor with ${e.length} elements cannot be converted to Scalar`);return e[0]}tolist(){return dS(this.data,this.dims)}sigmoid(){return this.clone().sigmoid_()}sigmoid_(){const e=this.data;for(let t=0;t<e.length;++t)e[t]=1/(1+Math.exp(-e[t]));return this}mul(e){return this.clone().mul_(e)}mul_(e){const t=this.data;for(let r=0;r<t.length;++r)t[r]*=e;return this}div(e){return this.clone().div_(e)}div_(e){const t=this.data;for(let r=0;r<t.length;++r)t[r]/=e;return this}add(e){return this.clone().add_(e)}add_(e){const t=this.data;for(let r=0;r<t.length;++r)t[r]+=e;return this}clone(){return new je(this.type,this.data.slice(),this.dims.slice())}slice(...e){let t=[],r=[];for(let u=0;u<this.dims.length;++u){let c=e[u];if(c==null)r.push([0,this.dims[u]]),t.push(this.dims[u]);else if(typeof c=="number")c=Vr(c,this.dims[u],u),r.push([c,c+1]);else if(Array.isArray(c)&&c.length===2){let[h,p]=c;if(h=h===null?0:Vr(h,this.dims[u],u,!1),p=p===null?this.dims[u]:Vr(p,this.dims[u],u,!1),h>p)throw new Error(`Invalid slice: ${c}`);let d=[Math.max(h,0),Math.min(p,this.dims[u])];r.push(d),t.push(d[1]-d[0])}else throw new Error(`Invalid slice: ${c}`)}let i=r.map(([u,c])=>c-u),a=i.reduce((u,c)=>u*c);const s=this.data;let o=new s.constructor(a);const l=this.stride();for(let u=0;u<a;++u){let c=0;for(let h=i.length-1,p=u;h>=0;--h){const d=i[h];c+=(p%d+r[h][0])*l[h],p=Math.floor(p/d)}o[u]=s[c]}return new je(this.type,o,t)}permute(...e){return hS(this,e)}transpose(...e){return this.permute(...e)}sum(e=null,t=!1){return this.norm(1,e,t)}norm(e="fro",t=null,r=!1){if(e==="fro")e=2;else if(typeof e=="string")throw Error(`Unsupported norm: ${e}`);const i=this.data;if(t===null){let o=i.reduce((l,u)=>l+u**e,0)**(1/e);return new je(this.type,[o],[])}t=Vr(t,this.dims.length);const a=this.dims.slice();a[t]=1;const s=new i.constructor(i.length/this.dims[t]);for(let o=0;o<i.length;++o){let l=0;for(let u=this.dims.length-1,c=o,h=1;u>=0;--u){const p=this.dims[u];if(u!==t){const d=c%p;l+=d*h,h*=a[u]}c=Math.floor(c/p)}s[l]+=i[o]**e}if(e!==1)for(let o=0;o<s.length;++o)s[o]=s[o]**(1/e);return r||a.splice(t,1),new je(this.type,s,a)}normalize_(e=2,t=1){t=Vr(t,this.dims.length);const r=this.norm(e,t,!0),i=this.data;for(let a=0;a<i.length;++a){let s=0;for(let o=this.dims.length-1,l=a,u=1;o>=0;--o){const c=this.dims[o];if(o!==t){const h=l%c;s+=h*u,u*=this.dims[o]}l=Math.floor(l/c)}i[a]/=r.data[s]}return this}normalize(e=2,t=1){return this.clone().normalize_(e,t)}stride(){return _S(this.dims)}squeeze(e=null){return new je(this.type,this.data,Ym(this.dims,e))}squeeze_(e=null){return this.dims=Ym(this.dims,e),this}unsqueeze(e=null){return new je(this.type,this.data,Km(this.dims,e))}unsqueeze_(e=null){return this.dims=Km(this.dims,e),this}flatten_(e=0,t=-1){t=(t+this.dims.length)%this.dims.length;let r=this.dims.slice(0,e),i=this.dims.slice(e,t+1),a=this.dims.slice(t+1);return this.dims=[...r,i.reduce((s,o)=>s*o,1),...a],this}flatten(e=0,t=-1){return this.clone().flatten_(e,t)}view(...e){let t=-1;for(let r=0;r<e.length;++r)if(e[r]===-1){if(t!==-1)throw new Error("Only one dimension can be inferred");t=r}if(t!==-1){const r=e.reduce((i,a,s)=>s!==t?i*a:i,1);e[t]=this.data.length/r}return new je(this.type,this.data,e)}neg_(){const e=this.data;for(let t=0;t<e.length;++t)e[t]=-e[t];return this}neg(){return this.clone().neg_()}clamp_(e,t){const r=this.data;for(let i=0;i<r.length;++i)r[i]=Math.min(Math.max(r[i],e),t);return this}clamp(e,t){return this.clone().clamp_(e,t)}round_(){const e=this.data;for(let t=0;t<e.length;++t)e[t]=Math.round(e[t]);return this}round(){return this.clone().round_()}mean(e=null,t=!1){return Dd(this,e,t)}to(e){if(this.type===e)return this;if(!jm.hasOwnProperty(e))throw new Error(`Unsupported type: ${e}`);return new je(e,jm[e].from(this.data),this.dims)}}function dS(n,e){const t=n.length,r=e.reduce((a,s)=>a*s);if(t!==r)throw Error(`cannot reshape array of size ${t} into shape (${e})`);let i=n;for(let a=e.length-1;a>=0;a--)i=i.reduce((s,o)=>{let l=s[s.length-1];return l.length<e[a]?l.push(o):s.push([o]),s},[[]]);return i[0]}function hS(n,e){const[t,r]=M1(n.data,n.dims,e);return new je(n.type,t,r)}function Od(n,[e,t],r="bilinear",i=!1){const a=n.dims.at(-3)??1,s=n.dims.at(-2),o=n.dims.at(-1);let l=E1(n.data,[a,s,o],[e,t],r,i);return new je(n.type,l,[a,e,t])}async function Xm(n,{size:e=null,mode:t="bilinear"}={}){if(n.dims.length!==4)throw new Error("`interpolate_4d` currently only supports 4D input.");if(!e)throw new Error("`interpolate_4d` requires a `size` argument.");let r;if(e.length===2)r=[...n.dims.slice(0,2),...e];else if(e.length===3)r=[n.dims[0],...e];else if(e.length===4)r=e;else throw new Error("`size` must be of length 2, 3, or 4.");let i;if(t==="bilinear")i=await Fl.bilinear_interpolate_4d;else if(t==="bicubic")i=await Fl.bicubic_interpolate_4d;else throw new Error(`Unsupported mode: ${t}`);const a=new je("int64",new BigInt64Array(r.map(BigInt)),[r.length]);return await i({x:n,s:a})}async function pS(n,e){return await(await Fl.matmul)({a:n,b:e})}async function gs(n,e){const t=await Fl.top_k;return e===null?e=n.dims.at(-1):e=Math.min(e,n.dims.at(-1)),await t({x:n,k:new je("int64",[BigInt(e)],[1])})}function fS(n,e){let t=[n.dims[0],n.dims[2]],r=new n.data.constructor(t[0]*t[1]),[i,a,s]=n.dims,o=0;for(let l=0;l<i;++l){let u=l*s*a;for(let c=0;c<s;++c){let h=0,p=0,d=l*a,m=u+c;for(let g=0;g<a;++g){let _=Number(e.data[d+g]);p+=_,h+=n.data[m+g*s]*_}let y=h/p;r[o++]=y}}return new je(n.type,r,t)}function Ym(n,e){return n=n.slice(),e===null?n=n.filter(t=>t!==1):typeof e=="number"?n[e]===1&&n.splice(e,1):Array.isArray(e)&&(n=n.filter((t,r)=>t!==1||!e.includes(r))),n}function Km(n,e){return e=Vr(e,n.length+1),n=n.slice(),n.splice(e,0,1),n}function Vr(n,e,t=null,r=!0){if(r&&(n<-e||n>=e))throw new Error(`IndexError: index ${n} is out of bounds for dimension${t===null?"":" "+t} with size ${e}`);return n<0&&(n=(n%e+e)%e),n}function Xr(n,e=0){e=Vr(e,n[0].dims.length);const t=n[0].dims.slice();t[e]=n.reduce((s,o)=>s+o.dims[e],0);const r=t.reduce((s,o)=>s*o,1),i=new n[0].data.constructor(r),a=n[0].type;if(e===0){let s=0;for(let o of n)i.set(o.data,s),s+=o.data.length}else{let s=0;for(let o=0;o<n.length;++o){let l=n[o];for(let u=0;u<l.data.length;++u){let c=0;for(let h=l.dims.length-1,p=u,d=1;h>=0;--h){const m=l.dims[h];let y=p%m;h===e&&(y+=s),c+=y*d,d*=t[h],p=Math.floor(p/m)}i[c]=l.data[u]}s+=l.dims[e]}}return new je(a,i,t)}function Zs(n,e=0){return Xr(n.map(t=>t.unsqueeze(e)),e)}function mS(n,e=null,t=1,r=!1){if(e===null){const u=n.data.reduce((d,m)=>d+m,0)/n.data.length,c=Math.sqrt(n.data.reduce((d,m)=>d+(m-u)**2,0)/(n.data.length-t)),h=new je(n.type,[u],[]);return[new je(n.type,[c],[]),h]}e=Vr(e,n.dims.length);const i=Dd(n,e,r),a=n.dims.slice();a[e]=1;const s=new n.data.constructor(n.data.length/n.dims[e]);for(let l=0;l<n.data.length;++l){let u=0;for(let c=n.dims.length-1,h=l,p=1;c>=0;--c){const d=n.dims[c];if(c!==e){const m=h%d;u+=m*p,p*=a[c]}h=Math.floor(h/d)}s[u]+=(n.data[l]-i.data[u])**2}for(let l=0;l<s.length;++l)s[l]=Math.sqrt(s[l]/(n.dims[e]-t));return r||a.splice(e,1),[new je(n.type,s,a),i]}function Dd(n,e=null,t=!1){if(e===null){let a=n.data.reduce((s,o)=>s+o,0);return new je(n.type,[a/n.data.length],[])}e=Vr(e,n.dims.length);const r=n.dims.slice();r[e]=1;const i=new n.data.constructor(n.data.length/n.dims[e]);for(let a=0;a<n.data.length;++a){let s=0;for(let o=n.dims.length-1,l=a,u=1;o>=0;--o){const c=n.dims[o];if(o!==e){const h=l%c;s+=h*u,u*=r[o]}l=Math.floor(l/c)}i[s]+=n.data[a]}if(n.dims[e]!==1)for(let a=0;a<i.length;++a)i[a]=i[a]/n.dims[e];return t||r.splice(e,1),new je(n.type,i,r)}function gS(n){const[e,t]=n.dims,r=[e+1,t+1],i=new je("float32",new Float32Array(r[0]*r[1]).fill(1/0),r),a=new je("float32",new Float32Array(r[0]*r[1]).fill(-1),r);i[0].data[0]=0;for(let c=1;c<t+1;++c)for(let h=1;h<e+1;++h){const p=i[h-1][c-1].item(),d=i[h-1][c].item(),m=i[h][c-1].item();let y,g;p<d&&p<m?(y=p,g=0):d<p&&d<m?(y=d,g=1):(y=m,g=2),i[h].data[c]=n[h-1][c-1].item()+y,a[h].data[c]=g}let s=e,o=t;a.data.fill(2,0,r[1]);for(let c=0;c<r[0];++c)a[c].data[0]=1;let l=[],u=[];for(;s>0||o>0;)switch(l.push(s-1),u.push(o-1),a[s][o].item()){case 0:--s,--o;break;case 1:--s;break;case 2:--o;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${s}, ${o}]. Please file a bug report.`)}return l.reverse(),u.reverse(),[l,u]}function _S(n){const e=new Array(n.length);for(let t=n.length-1,r=1;t>=0;--t)e[t]=r,r*=n[t];return e}function Ld(n,e,t,r){const i=n.reduce((a,s)=>a*s,1);return new je(t,new r(i).fill(e),n)}function yS(n,e){let t,r;if(typeof e=="number")t="float32",r=Float32Array;else if(typeof e=="bigint")t="int64",r=BigInt64Array;else throw new Error(`Unsupported data type: ${typeof e}`);return Ld(n,e,t,r)}function vS(n,e){return yS(n.dims,e)}function oo(n){return Ld(n,1n,"int64",BigInt64Array)}function wS(n){return oo(n.dims)}function bS(n){return Ld(n,0n,"int64",BigInt64Array)}function xS(n){return bS(n.dims)}function SS(n,e){if(n.dims.length!==2)throw new Error("The tensor must have 2 dimensions");if(n.dims.at(-1)%8!==0)throw new Error("The last dimension of the tensor must be a multiple of 8");if(!["binary","ubinary"].includes(e))throw new Error("The precision must be either 'binary' or 'ubinary'");const t=e==="binary",r=t?"int8":"uint8",i=t?Int8Array:Uint8Array,a=n.data,s=new i(a.length/8);for(let o=0;o<a.length;++o){const l=a[o]>0?1:0,u=Math.floor(o/8),c=o%8;s[u]|=l<<7-c,t&&c===0&&(s[u]-=128)}return new je(r,s,[n.dims[0],n.dims[1]/8])}class ES{constructor(e=(r,i)=>r>i,t=1/0){this._heap=[],this._comparator=e,this._maxSize=t}get size(){return this._heap.length}isEmpty(){return this.size===0}peek(){return this._heap[0]}push(...e){return this.extend(e)}extend(e){for(const t of e)if(this.size<this._maxSize)this._heap.push(t),this._siftUp();else{const r=this._smallest();this._comparator(t,this._heap[r])&&(this._heap[r]=t,this._siftUpFrom(r))}return this.size}pop(){const e=this.peek(),t=this.size-1;return t>0&&this._swap(0,t),this._heap.pop(),this._siftDown(),e}replace(e){const t=this.peek();return this._heap[0]=e,this._siftDown(),t}_parent(e){return(e+1>>>1)-1}_left(e){return(e<<1)+1}_right(e){return e+1<<1}_greater(e,t){return this._comparator(this._heap[e],this._heap[t])}_swap(e,t){const r=this._heap[e];this._heap[e]=this._heap[t],this._heap[t]=r}_siftUp(){this._siftUpFrom(this.size-1)}_siftUpFrom(e){for(;e>0&&this._greater(e,this._parent(e));)this._swap(e,this._parent(e)),e=this._parent(e)}_siftDown(){let e=0;for(;this._left(e)<this.size&&this._greater(this._left(e),e)||this._right(e)<this.size&&this._greater(this._right(e),e);){const t=this._right(e)<this.size&&this._greater(this._right(e),this._left(e))?this._right(e):this._left(e);this._swap(e,t),e=t}}_smallest(){return 2**Math.floor(Math.log2(this.size))-1}}class MS{constructor(){this.root=Gl.default()}extend(e){for(let t of e)this.push(t)}push(e){let t=this.root;for(let r of e){let i=t.children.get(r);i===void 0&&(i=Gl.default(),t.children.set(r,i)),t=i}t.isLeaf=!0}*commonPrefixSearch(e){let t=this.root,r="";for(let i=0;i<e.length&&t!==void 0;++i){const a=e[i];r+=a,t=t.children.get(a),t!==void 0&&t.isLeaf&&(yield r)}}}class Gl{constructor(e,t){this.isLeaf=e,this.children=t}static default(){return new Gl(!1,new Map)}}class TS{constructor(e,t,r){this.sentence=e,this.len=e.length,this.bosTokenId=t,this.eosTokenId=r,this.nodes=[],this.beginNodes=Array.from({length:this.len+1},()=>[]),this.endNodes=Array.from({length:this.len+1},()=>[]);const i=new Fs(this.bosTokenId,0,0,0,0),a=new Fs(this.eosTokenId,1,this.len,0,0);this.nodes.push(i.clone()),this.nodes.push(a.clone()),this.beginNodes[this.len].push(a),this.endNodes[0].push(i)}insert(e,t,r,i){const a=this.nodes.length,s=new Fs(i,a,e,t,r);this.beginNodes[e].push(s),this.endNodes[e+t].push(s),this.nodes.push(s)}viterbi(){const e=this.len;let t=0;for(;t<=e;){if(this.beginNodes[t].length==0)return[];for(let o of this.beginNodes[t]){o.prev=null;let l=0,u=null;for(let c of this.endNodes[t]){const h=c.backtraceScore+o.score;(u===null||h>l)&&(u=c.clone(),l=h)}if(u!==null)o.prev=u,o.backtraceScore=l;else return[]}++t}const r=[],a=this.beginNodes[e][0].prev;if(a===null)return[];let s=a.clone();for(;s.prev!==null;)r.push(s.clone()),s=s.clone().prev.clone();return r.reverse(),r}piece(e){return this.sentence.slice(e.pos,e.pos+e.length)}tokens(){return this.viterbi().map(t=>this.piece(t))}tokenIds(){return this.viterbi().map(t=>t.tokenId)}}class Fs{constructor(e,t,r,i,a){this.tokenId=e,this.nodeId=t,this.pos=r,this.length=i,this.score=a,this.prev=null,this.backtraceScore=0}clone(){const e=new Fs(this.tokenId,this.nodeId,this.pos,this.length,this.score);return e.prev=this.prev,e.backtraceScore=this.backtraceScore,e}}var pe=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",BooleanLiteral:"BooleanLiteral",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"}),Zm=Object.freeze({set:pe.Set,for:pe.For,in:pe.In,is:pe.Is,if:pe.If,else:pe.Else,endif:pe.EndIf,elif:pe.ElseIf,endfor:pe.EndFor,and:pe.And,or:pe.Or,not:pe.Not,"not 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`],["t","	"],["r","\r"],["b","\b"],["f","\f"],["v","\v"],["'","'"],['"','"'],["\\","\\"]]);function $S(n,e={}){return n.endsWith(`
`)&&(n=n.slice(0,-1)),n=n.replace(/{#.*?#}/gs,"{##}"),e.lstrip_blocks&&(n=n.replace(/^[ \t]*({[#%])/gm,"$1")),e.trim_blocks&&(n=n.replace(/([#%]})\n/g,"$1")),n.replace(/{##}/g,"").replace(/-%}\s*/g,"%}").replace(/\s*{%-/g,"{%").replace(/-}}\s*/g,"}}").replace(/\s*{{-/g,"{{")}function RS(n,e={}){const t=[],r=$S(n,e);let i=0;const a=s=>{let o="";for(;s(r[i]);){if(r[i]==="\\"){if(++i,i>=r.length)throw new SyntaxError("Unexpected end of input");const l=r[i++],u=CS.get(l);if(u===void 0)throw new SyntaxError(`Unexpected escaped character: ${l}`);o+=u;continue}if(o+=r[i++],i>=r.length)throw new SyntaxError("Unexpected end of input")}return o};e:for(;i<r.length;){const s=t.at(-1)?.type;if(s===void 0||s===pe.CloseStatement||s===pe.CloseExpression){let l="";for(;i<r.length&&!(r[i]==="{"&&(r[i+1]==="%"||r[i+1]==="{"));)l+=r[i++];if(l.length>0){t.push(new qi(l,pe.Text));continue}}a(l=>/\s/.test(l));const o=r[i];if(o==="-"||o==="+"){const l=t.at(-1)?.type;if(l===pe.Text||l===void 0)throw new SyntaxError(`Unexpected character: ${o}`);switch(l){case pe.Identifier:case pe.NumericLiteral:case pe.BooleanLiteral:case pe.StringLiteral:case pe.CloseParen:case pe.CloseSquareBracket:break;default:{++i;const u=a(rc);t.push(new qi(`${o}${u}`,u.length>0?pe.NumericLiteral:pe.UnaryOperator));continue}}}for(const[l,u]of AS)if(r.slice(i,i+l.length)===l){t.push(new qi(l,u)),i+=l.length;continue e}if(o==="'"||o==='"'){++i;const l=a(u=>u!==o);t.push(new qi(l,pe.StringLiteral)),++i;continue}if(rc(o)){const l=a(rc);t.push(new qi(l,pe.NumericLiteral));continue}if(Qm(o)){const l=a(Qm),u=Object.hasOwn(Zm,l)?Zm[l]:pe.Identifier;u===pe.In&&t.at(-1)?.type===pe.Not?(t.pop(),t.push(new qi("not in",pe.NotIn))):t.push(new qi(l,u));continue}throw new SyntaxError(`Unexpected character: ${o}`)}return t}var lo=class{type="Statement"},IS=class extends lo{constructor(n){super(),this.body=n}type="Program"},Jm=class extends lo{constructor(n,e,t){super(),this.test=n,this.body=e,this.alternate=t}type="If"},PS=class extends lo{constructor(n,e,t){super(),this.loopvar=n,this.iterable=e,this.body=t}type="For"},kS=class extends lo{constructor(n,e){super(),this.assignee=n,this.value=e}type="Set"},Kr=class extends lo{type="Expression"},OS=class extends Kr{constructor(n,e,t){super(),this.object=n,this.property=e,this.computed=t}type="MemberExpression"},DS=class extends Kr{constructor(n,e){super(),this.callee=n,this.args=e}type="CallExpression"},Pa=class extends Kr{constructor(n){super(),this.value=n}type="Identifier"},_s=class extends Kr{constructor(n){super(),this.value=n}type="Literal"},LS=class extends _s{type="NumericLiteral"},eg=class extends _s{type="StringLiteral"},tg=class extends _s{type="BooleanLiteral"},zS=class extends _s{type="ArrayLiteral"},ng=class extends _s{type="TupleLiteral"},NS=class extends _s{type="ObjectLiteral"},Ps=class extends Kr{constructor(n,e,t){super(),this.operator=n,this.left=e,this.right=t}type="BinaryExpression"},US=class extends Kr{constructor(n,e){super(),this.operand=n,this.filter=e}type="FilterExpression"},BS=class extends Kr{constructor(n,e,t){super(),this.operand=n,this.negate=e,this.test=t}type="TestExpression"},FS=class extends Kr{constructor(n,e){super(),this.operator=n,this.argument=e}type="UnaryExpression"},GS=class extends Kr{constructor(n=void 0,e=void 0,t=void 0){super(),this.start=n,this.stop=e,this.step=t}type="SliceExpression"},WS=class extends Kr{constructor(n,e){super(),this.key=n,this.value=e}type="KeywordArgumentExpression"};function VS(n){const e=new IS([]);let t=0;function r($,L){const H=n[t++];if(!H||H.type!==$)throw new Error(`Parser Error: ${L}. ${H.type} !== ${$}.`);return H}function i(){switch(n[t].type){case pe.Text:return o();case pe.OpenStatement:return l();case pe.OpenExpression:return u();default:throw new SyntaxError(`Unexpected token type: ${n[t].type}`)}}function a(...$){return t+$.length<=n.length&&$.some((L,H)=>L!==n[t+H].type)}function s(...$){return t+$.length<=n.length&&$.every((L,H)=>L===n[t+H].type)}function o(){return new eg(r(pe.Text,"Expected text token").value)}function l(){r(pe.OpenStatement,"Expected opening statement token");let $;switch(n[t].type){case pe.Set:++t,$=c(),r(pe.CloseStatement,"Expected closing statement token");break;case pe.If:++t,$=h(),r(pe.OpenStatement,"Expected {% token"),r(pe.EndIf,"Expected endif token"),r(pe.CloseStatement,"Expected %} token");break;case pe.For:++t,$=d(),r(pe.OpenStatement,"Expected {% token"),r(pe.EndFor,"Expected endfor token"),r(pe.CloseStatement,"Expected %} token");break;default:throw new SyntaxError(`Unknown statement type: ${n[t].type}`)}return $}function u(){r(pe.OpenExpression,"Expected opening expression token");const $=m();return r(pe.CloseExpression,"Expected closing expression token"),$}function c(){const $=m();if(s(pe.Equals)){++t;const L=c();return new kS($,L)}return $}function h(){const $=m();r(pe.CloseStatement,"Expected closing statement token");const L=[],H=[];for(;!(n[t]?.type===pe.OpenStatement&&(n[t+1]?.type===pe.ElseIf||n[t+1]?.type===pe.Else||n[t+1]?.type===pe.EndIf));)L.push(i());if(n[t]?.type===pe.OpenStatement&&n[t+1]?.type!==pe.EndIf)if(++t,s(pe.ElseIf))r(pe.ElseIf,"Expected elseif token"),H.push(h());else for(r(pe.Else,"Expected else token"),r(pe.CloseStatement,"Expected closing statement token");!(n[t]?.type===pe.OpenStatement&&n[t+1]?.type===pe.EndIf);)H.push(i());return new Jm($,L,H)}function p($=!1){const L=$?F:m,H=[L()],K=s(pe.Comma);for(;K&&(++t,H.push(L()),!!s(pe.Comma)););return K?new ng(H):H[0]}function d(){const $=p(!0);if(!($ instanceof Pa||$ instanceof ng))throw new SyntaxError(`Expected identifier/tuple for the loop variable, got ${$.type} instead`);r(pe.In,"Expected `in` keyword following loop variable");const L=m();r(pe.CloseStatement,"Expected closing statement token");const H=[];for(;a(pe.OpenStatement,pe.EndFor);)H.push(i());return new PS($,L,H)}function m(){return y()}function y(){const $=g();if(s(pe.If)){++t;const L=g();r(pe.Else,"Expected else token");const H=g();return new Jm(L,[$],[H])}return $}function g(){let $=_();for(;s(pe.Or);){const L=n[t];++t;const H=_();$=new Ps(L,$,H)}return $}function _(){let $=w();for(;s(pe.And);){const L=n[t];++t;const H=w();$=new Ps(L,$,H)}return $}function w(){let $;for(;s(pe.Not);){const L=n[t];++t;const H=w();$=new FS(L,H)}return $??b()}function b(){let $=E();for(;s(pe.ComparisonBinaryOperator)||s(pe.In)||s(pe.NotIn);){const L=n[t];++t;const H=E();$=new Ps(L,$,H)}return $}function E(){let $=j();for(;s(pe.AdditiveBinaryOperator);){const L=n[t];++t;const H=j();$=new Ps(L,$,H)}return $}function T(){const $=k();return s(pe.OpenParen)?I($):$}function I($){let L=new DS($,C());return s(pe.OpenParen)&&(L=I(L)),L}function C(){r(pe.OpenParen,"Expected opening parenthesis for arguments list");const $=B();return r(pe.CloseParen,"Expected closing parenthesis for arguments list"),$}function B(){const $=[];for(;!s(pe.CloseParen);){let L=m();if(s(pe.Equals)){if(++t,!(L instanceof Pa))throw new SyntaxError("Expected identifier for keyword argument");const H=m();L=new WS(L,H)}$.push(L),s(pe.Comma)&&++t}return $}function R(){const $=[];let L=!1;for(;!s(pe.CloseSquareBracket);)s(pe.Colon)?($.push(void 0),++t,L=!0):($.push(m()),s(pe.Colon)&&(++t,L=!0));if($.length===0)throw new SyntaxError("Expected at least one argument for member/slice expression");if(L){if($.length>3)throw new SyntaxError("Expected 0-3 arguments for slice expression");return new GS(...$)}return $[0]}function k(){let $=F();for(;s(pe.Dot)||s(pe.OpenSquareBracket);){const L=n[t];++t;let H;const K=L.type!==pe.Dot;if(K)H=R(),r(pe.CloseSquareBracket,"Expected closing square bracket");else if(H=F(),H.type!=="Identifier")throw new SyntaxError("Expected identifier following dot operator");$=new OS($,H,K)}return $}function j(){let $=Q();for(;s(pe.MultiplicativeBinaryOperator);){const L=n[t];++t;const H=Q();$=new Ps(L,$,H)}return $}function Q(){let $=ie();for(;s(pe.Is);){++t;const L=s(pe.Not);L&&++t;let H=F();if(H instanceof tg&&(H=new Pa(H.value.toString())),!(H instanceof Pa))throw new SyntaxError("Expected identifier for the test");$=new BS($,L,H)}return $}function ie(){let $=T();for(;s(pe.Pipe);){++t;let L=F();if(!(L instanceof Pa))throw new SyntaxError("Expected identifier for the filter");s(pe.OpenParen)&&(L=I(L)),$=new US($,L)}return $}function F(){const $=n[t];switch($.type){case pe.NumericLiteral:return++t,new LS(Number($.value));case pe.StringLiteral:return++t,new eg($.value);case pe.BooleanLiteral:return++t,new tg($.value==="true");case pe.Identifier:return++t,new Pa($.value);case pe.OpenParen:{++t;const L=p();if(n[t].type!==pe.CloseParen)throw new SyntaxError(`Expected closing parenthesis, got ${n[t].type} instead`);return++t,L}case pe.OpenSquareBracket:{++t;const L=[];for(;!s(pe.CloseSquareBracket);)L.push(m()),s(pe.Comma)&&++t;return++t,new zS(L)}case pe.OpenCurlyBracket:{++t;const L=new Map;for(;!s(pe.CloseCurlyBracket);){const H=m();r(pe.Colon,"Expected colon between key and value in object literal");const K=m();L.set(H,K),s(pe.Comma)&&++t}return++t,new NS(L)}default:throw new SyntaxError(`Unexpected token: ${$.type}`)}}for(;t<n.length;)e.body.push(i());return e}function HS(n,e,t=1){e===void 0&&(e=n,n=0);const r=[];for(let i=n;i<e;i+=t)r.push(i);return r}function rg(n,e,t,r=1){const i=Math.sign(r);i>=0?(e=(e??=0)<0?Math.max(n.length+e,0):Math.min(e,n.length),t=(t??=n.length)<0?Math.max(n.length+t,0):Math.min(t,n.length)):(e=(e??=n.length-1)<0?Math.max(n.length+e,-1):Math.min(e,n.length-1),t=(t??=-1)<-1?Math.max(n.length+t,-1):Math.min(t,n.length-1));const a=[];for(let s=e;i*s<i*t;s+=r)a.push(n[s]);return a}function yw(n){return n.replace(/\b\w/g,e=>e.toUpperCase())}var mi=class{type="RuntimeValue";value;builtins=new Map;constructor(n=void 0){this.value=n}__bool__(){return new pn(!!this.value)}},nn=class extends mi{type="NumericValue"},Ft=class extends mi{type="StringValue";builtins=new Map([["upper",new ci(()=>new Ft(this.value.toUpperCase()))],["lower",new ci(()=>new Ft(this.value.toLowerCase()))],["strip",new ci(()=>new Ft(this.value.trim()))],["title",new ci(()=>new Ft(yw(this.value)))],["length",new nn(this.value.length)]])},pn=class extends mi{type="BooleanValue"},kr=class extends mi{type="ObjectValue";__bool__(){return new pn(this.value.size>0)}builtins=new Map([["get",new ci(([n,e])=>{if(!(n instanceof Ft))throw new Error(`Object key must be a string: got ${n.type}`);return this.value.get(n.value)??e??new Gs})],["items",new ci(()=>new ln(Array.from(this.value.entries()).map(([n,e])=>new ln([new Ft(n),e]))))]])},ln=class extends mi{type="ArrayValue";builtins=new Map([["length",new nn(this.value.length)]]);__bool__(){return new pn(this.value.length>0)}},qS=class extends ln{type="TupleValue"},ci=class extends mi{type="FunctionValue"},Gs=class extends mi{type="NullValue"},Pr=class extends mi{type="UndefinedValue"},Jc=class{constructor(n){this.parent=n}variables=new Map([["namespace",new ci(n=>{if(n.length===0)return new kr(new Map);if(n.length!==1||!(n[0]instanceof kr))throw new Error("`namespace` expects either zero arguments or a single object argument");return n[0]})]]);tests=new Map([["boolean",n=>n.type==="BooleanValue"],["callable",n=>n instanceof ci],["odd",n=>{if(n.type!=="NumericValue")throw new Error(`Cannot apply test "odd" to type: ${n.type}`);return n.value%2!==0}],["even",n=>{if(n.type!=="NumericValue")throw new Error(`Cannot apply test "even" to type: ${n.type}`);return n.value%2===0}],["false",n=>n.type==="BooleanValue"&&!n.value],["true",n=>n.type==="BooleanValue"&&n.value],["number",n=>n.type==="NumericValue"],["integer",n=>n.type==="NumericValue"&&Number.isInteger(n.value)],["iterable",n=>n instanceof ln||n instanceof Ft],["lower",n=>{const e=n.value;return n.type==="StringValue"&&e===e.toLowerCase()}],["upper",n=>{const e=n.value;return n.type==="StringValue"&&e===e.toUpperCase()}],["none",n=>n.type==="NullValue"],["defined",n=>n.type!=="UndefinedValue"],["undefined",n=>n.type==="UndefinedValue"],["equalto",(n,e)=>n.value===e.value]]);set(n,e){return this.declareVariable(n,Tl(e))}declareVariable(n,e){if(this.variables.has(n))throw new SyntaxError(`Variable already declared: ${n}`);return this.variables.set(n,e),e}setVariable(n,e){return this.variables.set(n,e),e}resolve(n){if(this.variables.has(n))return this;if(this.parent)return this.parent.resolve(n);throw new Error(`Unknown variable: ${n}`)}lookupVariable(n){try{return this.resolve(n).variables.get(n)??new Pr}catch{return new Pr}}},jS=class{global;constructor(n){this.global=n??new Jc}run(n){return this.evaluate(n,this.global)}evaluateBinaryExpression(n,e){const t=this.evaluate(n.left,e);switch(n.operator.value){case"and":return t.__bool__().value?this.evaluate(n.right,e):t;case"or":return t.__bool__().value?t:this.evaluate(n.right,e)}const r=this.evaluate(n.right,e);switch(n.operator.value){case"==":return new pn(t.value==r.value);case"!=":return new pn(t.value!=r.value)}if(t instanceof Pr||r instanceof Pr)throw new Error("Cannot perform operation on undefined values");if(t instanceof Gs||r instanceof Gs)throw new Error("Cannot perform operation on null values");if(t instanceof nn&&r instanceof nn)switch(n.operator.value){case"+":return new nn(t.value+r.value);case"-":return new nn(t.value-r.value);case"*":return new nn(t.value*r.value);case"/":return new nn(t.value/r.value);case"%":return new nn(t.value%r.value);case"<":return new pn(t.value<r.value);case">":return new pn(t.value>r.value);case">=":return new pn(t.value>=r.value);case"<=":return new pn(t.value<=r.value)}else if(t instanceof ln&&r instanceof ln)switch(n.operator.value){case"+":return new ln(t.value.concat(r.value))}else if(r instanceof ln){const i=r.value.find(a=>a.value===t.value)!==void 0;switch(n.operator.value){case"in":return new pn(i);case"not in":return new pn(!i)}}if(t instanceof Ft||r instanceof Ft)switch(n.operator.value){case"+":return new Ft(t.value.toString()+r.value.toString())}if(t instanceof Ft&&r instanceof Ft)switch(n.operator.value){case"in":return new pn(r.value.includes(t.value));case"not in":return new pn(!r.value.includes(t.value))}if(t instanceof Ft&&r instanceof kr)switch(n.operator.value){case"in":return new pn(r.value.has(t.value));case"not in":return new pn(!r.value.has(t.value))}throw new SyntaxError(`Unknown operator "${n.operator.value}" between ${t.type} and ${r.type}`)}evaluateFilterExpression(n,e){const t=this.evaluate(n.operand,e);if(n.filter.type==="Identifier"){const r=n.filter;if(t instanceof ln)switch(r.value){case"list":return t;case"first":return t.value[0];case"last":return t.value[t.value.length-1];case"length":return new nn(t.value.length);case"reverse":return new ln(t.value.reverse());case"sort":return new ln(t.value.sort((i,a)=>{if(i.type!==a.type)throw new Error(`Cannot compare different types: ${i.type} and ${a.type}`);switch(i.type){case"NumericValue":return i.value-a.value;case"StringValue":return i.value.localeCompare(a.value);default:throw new Error(`Cannot compare type: ${i.type}`)}}));default:throw new Error(`Unknown ArrayValue filter: ${r.value}`)}else if(t instanceof Ft)switch(r.value){case"length":return new nn(t.value.length);case"upper":return new Ft(t.value.toUpperCase());case"lower":return new Ft(t.value.toLowerCase());case"title":return new Ft(yw(t.value));case"capitalize":return new Ft(t.value.charAt(0).toUpperCase()+t.value.slice(1));case"trim":return new Ft(t.value.trim());default:throw new Error(`Unknown StringValue filter: ${r.value}`)}else if(t instanceof nn)switch(r.value){case"abs":return new nn(Math.abs(t.value));default:throw new Error(`Unknown NumericValue filter: ${r.value}`)}else if(t instanceof kr)switch(r.value){case"items":return new ln(Array.from(t.value.entries()).map(([i,a])=>new ln([new Ft(i),a])));case"length":return new nn(t.value.size);default:throw new Error(`Unknown ObjectValue filter: ${r.value}`)}throw new Error(`Cannot apply filter "${r.value}" to type: ${t.type}`)}else if(n.filter.type==="CallExpression"){const r=n.filter;if(r.callee.type!=="Identifier")throw new Error(`Unknown filter: ${r.callee.type}`);const i=r.callee.value;if(t instanceof ln){switch(i){case"selectattr":{if(t.value.some(c=>!(c instanceof kr)))throw new Error("`selectattr` can only be applied to array of objects");if(r.args.some(c=>c.type!=="StringLiteral"))throw new Error("arguments of `selectattr` must be strings");const[a,s,o]=r.args.map(c=>this.evaluate(c,e));let l;if(s){const c=e.tests.get(s.value);if(!c)throw new Error(`Unknown test: ${s.value}`);l=c}else l=(...c)=>c[0].__bool__().value;const u=t.value.filter(c=>{const h=c.value.get(a.value);return h?l(h,o):!1});return new ln(u)}}throw new Error(`Unknown ArrayValue filter: ${i}`)}else throw new Error(`Cannot apply filter "${i}" to type: ${t.type}`)}throw new Error(`Unknown filter: ${n.filter.type}`)}evaluateTestExpression(n,e){const t=this.evaluate(n.operand,e),r=e.tests.get(n.test.value);if(!r)throw new Error(`Unknown test: ${n.test.value}`);const i=r(t);return new pn(n.negate?!i:i)}evaluateUnaryExpression(n,e){const t=this.evaluate(n.argument,e);switch(n.operator.value){case"not":return new pn(!t.value);default:throw new SyntaxError(`Unknown operator: ${n.operator.value}`)}}evalProgram(n,e){return this.evaluateBlock(n.body,e)}evaluateBlock(n,e){let t="";for(const r of n){const i=this.evaluate(r,e);i.type!=="NullValue"&&i.type!=="UndefinedValue"&&(t+=i.value)}return new Ft(t)}evaluateIdentifier(n,e){return e.lookupVariable(n.value)}evaluateCallExpression(n,e){const t=[],r=new Map;for(const a of n.args)if(a.type==="KeywordArgumentExpression"){const s=a;r.set(s.key.value,this.evaluate(s.value,e))}else t.push(this.evaluate(a,e));r.size>0&&t.push(new kr(r));const i=this.evaluate(n.callee,e);if(i.type!=="FunctionValue")throw new Error(`Cannot call something that is not a function: got ${i.type}`);return i.value(t,e)}evaluateSliceExpression(n,e,t){if(!(n instanceof ln||n instanceof Ft))throw new Error("Slice object must be an array or string");const r=this.evaluate(e.start,t),i=this.evaluate(e.stop,t),a=this.evaluate(e.step,t);if(!(r instanceof nn||r instanceof Pr))throw new Error("Slice start must be numeric or undefined");if(!(i instanceof nn||i instanceof Pr))throw new Error("Slice stop must be numeric or undefined");if(!(a instanceof nn||a instanceof Pr))throw new Error("Slice step must be numeric or undefined");return n instanceof ln?new ln(rg(n.value,r.value,i.value,a.value)):new Ft(rg(Array.from(n.value),r.value,i.value,a.value).join(""))}evaluateMemberExpression(n,e){const t=this.evaluate(n.object,e);let r;if(n.computed){if(n.property.type==="SliceExpression")return this.evaluateSliceExpression(t,n.property,e);r=this.evaluate(n.property,e)}else r=new Ft(n.property.value);let i;if(t instanceof kr){if(!(r instanceof Ft))throw new Error(`Cannot access property with non-string: got ${r.type}`);i=t.value.get(r.value)??t.builtins.get(r.value)}else if(t instanceof ln||t instanceof Ft)if(r instanceof nn)i=t.value.at(r.value),t instanceof Ft&&(i=new Ft(t.value.at(r.value)));else if(r instanceof Ft)i=t.builtins.get(r.value);else throw new Error(`Cannot access property with non-string/non-number: got ${r.type}`);else{if(!(r instanceof Ft))throw new Error(`Cannot access property with non-string: got ${r.type}`);i=t.builtins.get(r.value)}return i instanceof mi?i:new Pr}evaluateSet(n,e){const t=this.evaluate(n.value,e);if(n.assignee.type==="Identifier"){const r=n.assignee.value;e.setVariable(r,t)}else if(n.assignee.type==="MemberExpression"){const r=n.assignee,i=this.evaluate(r.object,e);if(!(i instanceof kr))throw new Error("Cannot assign to member of non-object");if(r.property.type!=="Identifier")throw new Error("Cannot assign to member with non-identifier property");i.value.set(r.property.value,t)}else throw new Error(`Invalid LHS inside assignment expression: ${JSON.stringify(n.assignee)}`);return new Gs}evaluateIf(n,e){const t=this.evaluate(n.test,e);return this.evaluateBlock(t.__bool__().value?n.body:n.alternate,e)}evaluateFor(n,e){const t=new Jc(e),r=this.evaluate(n.iterable,t);if(!(r instanceof ln))throw new Error(`Expected iterable type in for loop: got ${r.type}`);let i="";for(let a=0;a<r.value.length;++a){const s=new Map([["index",new nn(a+1)],["index0",new nn(a)],["revindex",new nn(r.value.length-a)],["revindex0",new nn(r.value.length-a-1)],["first",new pn(a===0)],["last",new pn(a===r.value.length-1)],["length",new nn(r.value.length)],["previtem",a>0?r.value[a-1]:new Pr],["nextitem",a<r.value.length-1?r.value[a+1]:new Pr]]);t.setVariable("loop",new kr(s));const o=r.value[a];if(n.loopvar.type==="Identifier")t.setVariable(n.loopvar.value,o);else if(n.loopvar.type==="TupleLiteral"){const u=n.loopvar;if(o.type!=="ArrayValue")throw new Error(`Cannot unpack non-iterable type: ${o.type}`);const c=o;if(u.value.length!==c.value.length)throw new Error(`Too ${u.value.length>c.value.length?"few":"many"} items to unpack`);for(let h=0;h<u.value.length;++h){if(u.value[h].type!=="Identifier")throw new Error(`Cannot unpack non-identifier type: ${u.value[h].type}`);t.setVariable(u.value[h].value,c.value[h])}}const l=this.evaluateBlock(n.body,t);i+=l.value}return new Ft(i)}evaluate(n,e){if(n===void 0)return new Pr;switch(n.type){case"Program":return this.evalProgram(n,e);case"Set":return this.evaluateSet(n,e);case"If":return this.evaluateIf(n,e);case"For":return this.evaluateFor(n,e);case"NumericLiteral":return new nn(Number(n.value));case"StringLiteral":return new Ft(n.value);case"BooleanLiteral":return new pn(n.value);case"ArrayLiteral":return new ln(n.value.map(t=>this.evaluate(t,e)));case"TupleLiteral":return new qS(n.value.map(t=>this.evaluate(t,e)));case"ObjectLiteral":{const t=new Map;for(const[r,i]of n.value){const a=this.evaluate(r,e);if(!(a instanceof Ft))throw new Error(`Object keys must be strings: got ${a.type}`);t.set(a.value,this.evaluate(i,e))}return new kr(t)}case"Identifier":return this.evaluateIdentifier(n,e);case"CallExpression":return this.evaluateCallExpression(n,e);case"MemberExpression":return this.evaluateMemberExpression(n,e);case"UnaryExpression":return this.evaluateUnaryExpression(n,e);case"BinaryExpression":return this.evaluateBinaryExpression(n,e);case"FilterExpression":return this.evaluateFilterExpression(n,e);case"TestExpression":return this.evaluateTestExpression(n,e);default:throw new SyntaxError(`Unknown node type: ${n.type}`)}}};function Tl(n){switch(typeof n){case"number":return new nn(n);case"string":return new Ft(n);case"boolean":return new pn(n);case"object":return n===null?new Gs:Array.isArray(n)?new ln(n.map(Tl)):new kr(new Map(Object.entries(n).map(([e,t])=>[e,Tl(t)])));case"function":return new ci((e,t)=>{const r=n(...e.map(i=>i.value))??null;return Tl(r)});default:throw new Error(`Cannot convert to runtime value: ${n}`)}}var XS=class{parsed;constructor(n){const e=RS(n,{lstrip_blocks:!0,trim_blocks:!0});this.parsed=VS(e)}render(n){const e=new Jc;e.set("false",!1),e.set("true",!0),e.set("raise_exception",i=>{throw new Error(i)}),e.set("range",HS);for(const[i,a]of Object.entries(n))e.set(i,a);return new jS(e).run(this.parsed).value}};const vw=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],Al=new Map(vw),YS=new Map([...vw.map(([n,e])=>[e,n]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function ww(n){n=n.toLowerCase();let e=YS.get(n);if(e===void 0)if(Al.has(n))e=n;else{const r=n.length===2?Al.keys():Al.values();throw new Error(`Language "${n}" is not supported. Must be one of: ${JSON.stringify(r)}`)}return e}const ic="https://github.com/xenova/transformers.js/issues/new/choose";async function bw(n,e){const t=await Promise.all([Ii(n,"tokenizer.json",!0,e),Ii(n,"tokenizer_config.json",!0,e)]);return e.legacy!==null&&(t[1].legacy=e.legacy),t}function KS(n,e){const t=[];let r=0;for(const i of n.matchAll(e)){const a=i[0];r<i.index&&t.push(n.slice(r,i.index)),a.length>0&&t.push(a),r=i.index+a.length}return r<n.length&&t.push(n.slice(r)),t}function tu(n,e=!0){if(n.Regex!==void 0){let t=n.Regex.replace(/\\([#&~])/g,"$1");for(const[r,i]of tE)t=t.replaceAll(r,i);return new RegExp(t,"gu")}else if(n.String!==void 0){const t=G_(n.String);return new RegExp(e?t:`(${t})`,"gu")}else return console.warn("Unknown pattern type:",n),null}function zd(n){return new Map(Object.entries(n))}function xw(n){const e=n.dims;switch(e.length){case 1:return n.tolist();case 2:if(e[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return n.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${e.length}.`)}}function Nd(n){return n.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 Sw(n){return n.replace(/[\u0300-\u036f]/g,"")}function ZS(n){return Sw(n.toLowerCase())}function QS(n){return n>=19968&&n<=40959||n>=13312&&n<=19903||n>=131072&&n<=173791||n>=173824&&n<=177983||n>=177984&&n<=178207||n>=178208&&n<=183983||n>=63744&&n<=64255||n>=194560&&n<=195103}function JS(n,e,t){const r=[];let i=0;for(;i<n.length;){if(r.push(n[i]),(t.get(n[i])??e)!==e){++i;continue}for(;i<n.length&&(t.get(n[i])??e)===e;)++i}return r}function eE(n){return n.match(/\S+/g)||[]}const Qs="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",tE=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"]]);class nE{constructor(e){this.content=e.content,this.id=e.id,this.single_word=e.single_word??!1,this.lstrip=e.lstrip??!1,this.rstrip=e.rstrip??!1,this.special=e.special??!1,this.normalized=e.normalized??null}}class uo extends Nn{constructor(e){super(),this.config=e,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig(e,...t){switch(e.type){case"WordPiece":return new rE(e);case"Unigram":return new iE(e,...t);case"BPE":return new sE(e);default:if(e.vocab)return new oE(e,...t);throw new Error(`Unknown TokenizerModel type: ${e.type}`)}}_call(e){let t=this.encode(e);return this.fuse_unk&&(t=JS(t,this.unk_token_id,this.tokens_to_ids)),t}encode(e){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(e){return e.map(t=>this.tokens_to_ids.get(t)??this.unk_token_id)}convert_ids_to_tokens(e){return e.map(t=>this.vocab[t]??this.unk_token)}}class rE extends uo{constructor(e){super(e),this.tokens_to_ids=zd(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.max_input_chars_per_word=e.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[t,r]of this.tokens_to_ids)this.vocab[r]=t}encode(e){const t=[];for(const r of e){const i=[...r];if(i.length>this.max_input_chars_per_word){t.push(this.unk_token);continue}let a=!1,s=0;const o=[];for(;s<i.length;){let l=i.length,u=null;for(;s<l;){let c=i.slice(s,l).join("");if(s>0&&(c=this.config.continuing_subword_prefix+c),this.tokens_to_ids.has(c)){u=c;break}--l}if(u===null){a=!0;break}o.push(u),s=l}a?t.push(this.unk_token):t.push(...o)}return t}}class iE extends uo{constructor(e,t){super(e);const r=e.vocab.length;this.vocab=new Array(r),this.scores=new Array(r);for(let i=0;i<r;++i){const a=e.vocab[i];this.vocab[i]=a[0],this.scores[i]=a[1]}this.unk_token_id=e.unk_id,this.unk_token=this.vocab[e.unk_id],this.tokens_to_ids=new Map(this.vocab.map((i,a)=>[i,a])),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=t.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=W_(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new MS,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(e){const t=e.sentence,r=t.length;let i=0;for(;i<r;){let s=!1;for(let o of this.trie.commonPrefixSearch(t.slice(i))){const l=this.tokens_to_ids.get(o),u=this.scores[l],c=o.length;e.insert(i,c,u,l),!s&&c===1&&(s=!0)}s||e.insert(i,1,this.unkScore,this.unk_token_id),i+=1}}tokenize(e){const t=new TS(e,this.bosTokenId,this.eosTokenId);return this.populateNodes(t),t.tokens()}encode(e){const t=[];for(const r of e){const i=this.tokenize(r);t.push(...i)}return t}}const Ew=(()=>{const n=[...Array.from({length:94},(i,a)=>a+33),...Array.from({length:12},(i,a)=>a+161),...Array.from({length:82},(i,a)=>a+174)],e=n.slice();let t=0;for(let i=0;i<256;++i)n.includes(i)||(n.push(i),e.push(256+t),t+=1);const r=e.map(i=>String.fromCharCode(i));return Object.fromEntries(n.map((i,a)=>[i,r[a]]))})(),aE=_1(Ew);class sE extends uo{constructor(e){super(e),this.BPE_SPLIT_TOKEN=" ",this.tokens_to_ids=zd(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[t,r]of this.tokens_to_ids)this.vocab[r]=t;this.bpe_ranks=new Map(e.merges.map((t,r)=>[t,r])),this.merges=e.merges.map(t=>t.split(this.BPE_SPLIT_TOKEN)),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.ignore_merges=this.config.ignore_merges??!1,this.cache=new Map}bpe(e){if(e.length===0)return[];const t=this.cache.get(e);if(t!==void 0)return t;const r=Array.from(e);this.end_of_word_suffix&&(r[r.length-1]+=this.end_of_word_suffix);let i=[];if(r.length>1){const a=new ES((l,u)=>l.score<u.score);let s={token:r[0],bias:0,prev:null,next:null},o=s;for(let l=1;l<r.length;++l){const u={bias:l/r.length,token:r[l],prev:o,next:null};o.next=u,this._add_node(a,o),o=u}for(;!a.isEmpty();){const l=a.pop();if(l.deleted||!l.next||l.next.deleted)continue;if(l.deleted=!0,l.next.deleted=!0,l.prev){const c={...l.prev};l.prev.deleted=!0,l.prev=c,c.prev?c.prev.next=c:s=c}const u={token:l.token+l.next.token,bias:l.bias,prev:l.prev,next:l.next.next};u.prev?(u.prev.next=u,this._add_node(a,u.prev)):s=u,u.next&&(u.next.prev=u,this._add_node(a,u))}for(let l=s;l!==null;l=l.next)i.push(l.token)}else i=r;if(this.continuing_subword_suffix)for(let a=0;a<i.length-1;++a)i[a]+=this.continuing_subword_suffix;return this.cache.set(e,i),i}_add_node(e,t){const r=this.bpe_ranks.get(t.token+this.BPE_SPLIT_TOKEN+t.next.token);r!==void 0&&(t.score=r+t.bias,e.push(t))}encode(e){const t=[];for(const r of e){if(this.ignore_merges&&this.tokens_to_ids.has(r)){t.push(r);continue}const i=this.bpe(r);for(const a of i)this.tokens_to_ids.has(a)?t.push(a):this.byte_fallback?t.push(...Array.from(this.text_encoder.encode(a)).map(s=>`<0x${s.toString(16).toUpperCase().padStart(2,"0")}>`)):t.push(this.unk_token)}return t}}class oE extends uo{constructor(e,t){super(e),this.tokens_to_ids=zd(t.target_lang?e.vocab[t.target_lang]:e.vocab),this.bos_token=t.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=t.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=t.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=new Array(this.tokens_to_ids.size);for(const[r,i]of this.tokens_to_ids)this.vocab[i]=r}encode(e){return e}}class lr extends Nn{constructor(e){super(),this.config=e}static fromConfig(e){if(e===null)return null;switch(e.type){case"BertNormalizer":return new _E(e);case"Precompiled":return new LE(e);case"Sequence":return new gE(e);case"Replace":return new lE(e);case"NFC":return new uE(e);case"NFKC":return new cE(e);case"NFKD":return new dE(e);case"Strip":return new hE(e);case"StripAccents":return new pE(e);case"Lowercase":return new fE(e);case"Prepend":return new mE(e);default:throw new Error(`Unknown Normalizer type: ${e.type}`)}}normalize(e){throw Error("normalize should be implemented in subclass.")}_call(e){return this.normalize(e)}}class lE extends lr{normalize(e){const t=tu(this.config.pattern);return t===null?e:e.replaceAll(t,this.config.content)}}class uE extends lr{normalize(e){return e=e.normalize("NFC"),e}}class cE extends lr{normalize(e){return e=e.normalize("NFKC"),e}}class dE extends lr{normalize(e){return e=e.normalize("NFKD"),e}}class hE extends lr{normalize(e){return this.config.strip_left&&this.config.strip_right?e=e.trim():(this.config.strip_left&&(e=e.trimStart()),this.config.strip_right&&(e=e.trimEnd())),e}}class pE extends lr{normalize(e){return e=Sw(e),e}}class fE extends lr{normalize(e){return e=e.toLowerCase(),e}}class mE extends lr{normalize(e){return e=this.config.prepend+e,e}}class gE extends lr{constructor(e){super(e),this.normalizers=e.normalizers.map(t=>lr.fromConfig(t))}normalize(e){return this.normalizers.reduce((t,r)=>r.normalize(t),e)}}class _E extends lr{_tokenize_chinese_chars(e){const t=[];for(let r=0;r<e.length;++r){const i=e[r],a=i.charCodeAt(0);QS(a)?(t.push(" "),t.push(i),t.push(" ")):t.push(i)}return t.join("")}stripAccents(e){return e.normalize("NFD").replace(/[\u0300-\u036f]/g,"")}_is_control(e){switch(e){case"	":case`
`:case"\r":return!1;default:return/^\p{Cc}|\p{Cf}|\p{Co}|\p{Cs}$/u.test(e)}}_clean_text(e){const t=[];for(const r of e){const i=r.charCodeAt(0);i===0||i===65533||this._is_control(r)||(/^\s$/.test(r)?t.push(" "):t.push(r))}return t.join("")}normalize(e){return this.config.clean_text&&(e=this._clean_text(e)),this.config.handle_chinese_chars&&(e=this._tokenize_chinese_chars(e)),this.config.lowercase?(e=e.toLowerCase(),this.config.strip_accents!==!1&&(e=this.stripAccents(e))):this.config.strip_accents&&(e=this.stripAccents(e)),e}}class vr extends Nn{static fromConfig(e){if(e===null)return null;switch(e.type){case"BertPreTokenizer":return new yE(e);case"Sequence":return new zE(e);case"Whitespace":return new NE(e);case"WhitespaceSplit":return new UE(e);case"Metaspace":return new Cw(e);case"ByteLevel":return new vE(e);case"Split":return new wE(e);case"Punctuation":return new bE(e);case"Digits":return new xE(e);case"Replace":return new BE(e);default:throw new Error(`Unknown PreTokenizer type: ${e.type}`)}}pre_tokenize_text(e,t){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(e,t){return(Array.isArray(e)?e.map(r=>this.pre_tokenize_text(r,t)):this.pre_tokenize_text(e,t)).flat()}_call(e,t){return this.pre_tokenize(e,t)}}class yE extends vr{constructor(e){super(),this.pattern=new RegExp(`[^\\s${Qs}]+|[${Qs}]`,"gu")}pre_tokenize_text(e,t){return e.trim().match(this.pattern)||[]}}class vE extends vr{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=Ew,this.text_encoder=new TextEncoder}pre_tokenize_text(e,t){return this.add_prefix_space&&!e.startsWith(" ")&&(e=" "+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(i=>Array.from(this.text_encoder.encode(i),a=>this.byte_encoder[a]).join(""))}}class wE extends vr{constructor(e){super(),this.config=e,this.pattern=tu(this.config.pattern,this.config.invert)}pre_tokenize_text(e,t){return this.pattern===null?[]:this.config.invert?e.match(this.pattern)||[]:KS(e,this.pattern)}}class bE extends vr{constructor(e){super(),this.config=e,this.pattern=new RegExp(`[^${Qs}]+|[${Qs}]+`,"gu")}pre_tokenize_text(e,t){return e.match(this.pattern)||[]}}class xE extends vr{constructor(e){super(),this.config=e;const t=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(t,"gu")}pre_tokenize_text(e,t){return e.match(this.pattern)||[]}}class us extends Nn{constructor(e){super(),this.config=e}static fromConfig(e){if(e===null)return null;switch(e.type){case"TemplateProcessing":return new SE(e);case"ByteLevel":return new Aw(e);case"RobertaProcessing":return new Tw(e);case"BertProcessing":return new Mw(e);case"Sequence":return new EE(e);default:throw new Error(`Unknown PostProcessor type: ${e.type}`)}}post_process(e,...t){throw Error("post_process should be implemented in subclass.")}_call(e,...t){return this.post_process(e,...t)}}class Mw extends us{constructor(e){super(e),this.cls=e.cls[0],this.sep=e.sep[0]}post_process(e,t=null,{add_special_tokens:r=!0}={}){r&&(e=Cn([this.cls],e,[this.sep]));let i=new Array(e.length).fill(0);if(t!==null){const a=r&&this instanceof Tw?[this.sep]:[],s=r?[this.sep]:[];e=Cn(e,a,t,s),i=Cn(i,new Array(t.length+a.length+s.length).fill(1))}return{tokens:e,token_type_ids:i}}}class Tw extends Mw{}class SE extends us{constructor(e){super(e),this.single=e.single,this.pair=e.pair}post_process(e,t=null,{add_special_tokens:r=!0}={}){const i=t===null?this.single:this.pair;let a=[],s=[];for(const o of i)"SpecialToken"in o?r&&(a.push(o.SpecialToken.id),s.push(o.SpecialToken.type_id)):"Sequence"in o&&(o.Sequence.id==="A"?(a=Cn(a,e),s=Cn(s,new Array(e.length).fill(o.Sequence.type_id))):o.Sequence.id==="B"&&(a=Cn(a,t),s=Cn(s,new Array(t.length).fill(o.Sequence.type_id))));return{tokens:a,token_type_ids:s}}}class Aw extends us{post_process(e,t=null){return t&&(e=Cn(e,t)),{tokens:e}}}class EE extends us{constructor(e){super(e),this.processors=e.processors.map(t=>us.fromConfig(t))}post_process(e,t=null,r={}){let i;for(const a of this.processors)if(a instanceof Aw)e=a.post_process(e).tokens,t&&(t=a.post_process(t).tokens);else{const s=a.post_process(e,t,r);e=s.tokens,i=s.token_type_ids}return{tokens:e,token_type_ids:i}}}class ur extends Nn{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=e.trim_offsets}static fromConfig(e){if(e===null)return null;switch(e.type){case"WordPiece":return new $E(e);case"Metaspace":return new DE(e);case"ByteLevel":return new RE(e);case"Replace":return new ME(e);case"ByteFallback":return new TE(e);case"Fuse":return new AE(e);case"Strip":return new CE(e);case"Sequence":return new PE(e);case"CTC":return new IE(e);case"BPEDecoder":return new kE(e);default:throw new Error(`Unknown Decoder type: ${e.type}`)}}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join("")}decode_chain(e){throw Error("`decode_chain` should be implemented in subclass.")}}class ME extends ur{decode_chain(e){const t=tu(this.config.pattern);return t===null?e:e.map(r=>r.replaceAll(t,this.config.content))}}class TE extends ur{constructor(e){super(e),this.text_decoder=new TextDecoder}decode_chain(e){const t=[];let r=[];for(const i of e){let a=null;if(i.length===6&&i.startsWith("<0x")&&i.endsWith(">")){const s=parseInt(i.slice(3,5),16);isNaN(s)||(a=s)}if(a!==null)r.push(a);else{if(r.length>0){const s=this.text_decoder.decode(Uint8Array.from(r));t.push(s),r=[]}t.push(i)}}if(r.length>0){const i=this.text_decoder.decode(Uint8Array.from(r));t.push(i),r=[]}return t}}class AE extends ur{decode_chain(e){return[e.join("")]}}class CE extends ur{constructor(e){super(e),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(e){return e.map(t=>{let r=0;for(let a=0;a<this.start&&t[a]===this.content;++a){r=a+1;continue}let i=t.length;for(let a=0;a<this.stop;++a){const s=t.length-a-1;if(t[s]===this.content){i=s;continue}else break}return t.slice(r,i)})}}class $E extends ur{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((t,r)=>(r!==0&&(t.startsWith(this.config.prefix)?t=t.replace(this.config.prefix,""):t=" "+t),this.cleanup&&(t=Nd(t)),t))}}class RE extends ur{constructor(e){super(e),this.byte_decoder=aE,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){const t=e.join(""),r=new Uint8Array([...t].map(a=>this.byte_decoder[a]));return this.text_decoder.decode(r)}decode_chain(e){const t=[];let r=[];for(const i of e)this.added_tokens.find(a=>a.content===i)!==void 0?(r.length>0&&(t.push(this.convert_tokens_to_string(r)),r=[]),t.push(i)):r.push(i);return r.length>0&&t.push(this.convert_tokens_to_string(r)),t}}class IE extends ur{constructor(e){super(e),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(e){if(e.length===0)return"";const t=[e[0]];for(let a=1;a<e.length;++a)e[a]!==t.at(-1)&&t.push(e[a]);let i=t.filter(a=>a!==this.pad_token).join("");return this.cleanup&&(i=Nd(i).replaceAll(this.word_delimiter_token," ").trim()),i}decode_chain(e){return[this.convert_tokens_to_string(e)]}}class PE extends ur{constructor(e){super(e),this.decoders=e.decoders.map(t=>ur.fromConfig(t))}decode_chain(e){return this.decoders.reduce((t,r)=>r.decode_chain(t),e)}}class kE extends ur{constructor(e){super(e),this.suffix=this.config.suffix}decode_chain(e){return e.map((t,r)=>t.replaceAll(this.suffix,r===e.length-1?"":" "))}}class OE extends ur{decode_chain(e){let t="";for(let r=1;r<e.length;r+=2)t+=e[r];return[t]}}class Cw extends vr{constructor(e){super(),this.addPrefixSpace=e.add_prefix_space,this.replacement=e.replacement,this.strRep=e.str_rep||this.replacement,this.prepend_scheme=e.prepend_scheme??"always"}pre_tokenize_text(e,{section_index:t=void 0}={}){let r=e.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!r.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&t===0)&&(r=this.strRep+r),[r]}}class DE extends ur{constructor(e){super(e),this.addPrefixSpace=e.add_prefix_space,this.replacement=e.replacement}decode_chain(e){const t=[];for(let r=0;r<e.length;++r){let i=e[r].replaceAll(this.replacement," ");this.addPrefixSpace&&r==0&&i.startsWith(" ")&&(i=i.substring(1)),t.push(i)}return t}}class LE extends lr{constructor(e){super(e),this.charsmap=e.precompiled_charsmap}normalize(e){return e=e.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),e=e.replace(/[\u0009\u000A\u000C\u000D\u1680\u200B\u200C\u200E\u200F\u2028\u2029\u2581\uFEFF\uFFFD]/gm," "),e.includes("～")?e=e.split("～").map(r=>r.normalize("NFKC")).join("～"):e=e.normalize("NFKC"),e}}class zE extends vr{constructor(e){super(),this.tokenizers=e.pretokenizers.map(t=>vr.fromConfig(t))}pre_tokenize_text(e,t){return this.tokenizers.reduce((r,i)=>i.pre_tokenize(r,t),[e])}}class NE extends vr{constructor(e){super()}pre_tokenize_text(e,t){return e.match(/\w+|[^\w\s]+/g)||[]}}class UE extends vr{constructor(e){super()}pre_tokenize_text(e,t){return eE(e)}}class BE extends vr{constructor(e){super(),this.config=e,this.pattern=tu(this.config.pattern),this.content=this.config.content}pre_tokenize_text(e,t){return this.pattern===null?[e]:[e.replaceAll(this.pattern,this.config.content)]}}const FE=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function GE(n,e,t,r){for(const i of Object.keys(n)){const a=e-n[i].length,s=t(i),o=new Array(a).fill(s);n[i]=r==="right"?Cn(n[i],o):Cn(o,n[i])}}function WE(n,e){for(const t of Object.keys(n))n[t].length=e}class At extends Nn{return_token_type_ids=!1;_default_chat_template=`{% for message in messages %}{{'<|im_start|>' + message['role'] + '
' + message['content'] + '<|im_end|>' + '
'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
' }}{% endif %}`;padding_side="right";constructor(e,t){super(),this._tokenizer_config=t,this.normalizer=lr.fromConfig(e.normalizer),this.pre_tokenizer=vr.fromConfig(e.pre_tokenizer),this.model=uo.fromConfig(e.model,t),this.post_processor=us.fromConfig(e.post_processor),this.decoder=ur.fromConfig(e.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const r of e.added_tokens){const i=new nE(r);this.added_tokens.push(i),this.model.tokens_to_ids.set(i.content,i.id),this.model.vocab[i.id]=i.content,i.special&&(this.special_tokens.push(i.content),this.all_special_ids.push(i.id))}if(this.additional_special_tokens=t.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.map(r=>`${r.lstrip?"\\s*":""}(${G_(r.content)})${r.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.model_max_length=t.model_max_length,this.remove_space=t.remove_space,this.clean_up_tokenization_spaces=t.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=t.do_lowercase_and_remove_accent??!1,t.padding_side&&(this.padding_side=t.padding_side),this.legacy=!1,this.chat_template=t.chat_template??null,Array.isArray(this.chat_template)){const r=Object.create(null);for(const{name:i,template:a}of this.chat_template){if(typeof i!="string"||typeof a!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');r[i]=a}this.chat_template=r}this._compiled_template_cache=new Map}getToken(...e){for(const t of e){const r=this._tokenizer_config[t];if(r)if(typeof r=="object"){if(r.__type==="AddedToken")return r.content;throw Error(`Unknown token: ${r}`)}else return r}return null}static async from_pretrained(e,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main",legacy:o=null}={}){const l=await bw(e,{progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s,legacy:o});return new this(...l)}_call(e,{text_pair:t=null,add_special_tokens:r=!0,padding:i=!1,truncation:a=null,max_length:s=null,return_tensor:o=!0,return_token_type_ids:l=null}={}){const u=Array.isArray(e);let c;if(u){if(e.length===0)throw Error("text array must be non-empty");if(t!==null){if(Array.isArray(t)){if(e.length!==t.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");c=e.map((p,d)=>this._encode_plus(p,{text_pair:t[d],add_special_tokens:r,return_token_type_ids:l}))}else c=e.map(p=>this._encode_plus(p,{add_special_tokens:r,return_token_type_ids:l}))}else{if(e==null)throw Error("text may not be null or undefined");if(Array.isArray(t))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");c=[this._encode_plus(e,{text_pair:t,add_special_tokens:r,return_token_type_ids:l})]}if(s===null?i==="max_length"?s=this.model_max_length:s=wr(c.map(p=>p.input_ids.length))[0]:a||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."),s=Math.min(s,this.model_max_length??1/0),i||a)for(let p=0;p<c.length;++p)c[p].input_ids.length!==s&&(c[p].input_ids.length>s?a&&WE(c[p],s):i&&GE(c[p],s,d=>d==="input_ids"?this.pad_token_id:0,this.padding_side));const h={};if(o){if(!(i&&a)&&c.some(d=>{for(const m of Object.keys(d))if(d[m].length!==c[0][m]?.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 p=[c.length,c[0].input_ids.length];for(const d of Object.keys(c[0]))h[d]=new je("int64",BigInt64Array.from(c.flatMap(m=>m[d]).map(BigInt)),p)}else{for(const p of Object.keys(c[0]))h[p]=c.map(d=>d[p]);if(!u)for(const p of Object.keys(h))h[p]=h[p][0]}return h}_encode_text(e){return e===null?null:(this.added_tokens_regex?e.split(this.added_tokens_regex).filter(i=>i):[e]).map((i,a)=>{if(this.added_tokens.find(o=>o.content===i)!==void 0)return i;{if(this.remove_space===!0&&(i=i.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(i=ZS(i)),this.normalizer!==null&&(i=this.normalizer(i)),i.length===0)return[];const o=this.pre_tokenizer!==null?this.pre_tokenizer(i,{section_index:a}):[i];return this.model(o)}}).flat()}_encode_plus(e,{text_pair:t=null,add_special_tokens:r=!0,return_token_type_ids:i=null}={}){const{tokens:a,token_type_ids:s}=this._tokenize_helper(e,{pair:t,add_special_tokens:r}),o=this.model.convert_tokens_to_ids(a),l={input_ids:o,attention_mask:new Array(o.length).fill(1)};return(i??this.return_token_type_ids)&&s&&(l.token_type_ids=s),l}_tokenize_helper(e,{pair:t=null,add_special_tokens:r=!1}={}){const i=this._encode_text(e),a=this._encode_text(t);return this.post_processor?this.post_processor(i,a,{add_special_tokens:r}):{tokens:Cn(i??[],a??[])}}tokenize(e,{pair:t=null,add_special_tokens:r=!1}={}){return this._tokenize_helper(e,{pair:t,add_special_tokens:r}).tokens}encode(e,{text_pair:t=null,add_special_tokens:r=!0,return_token_type_ids:i=null}={}){return this._encode_plus(e,{text_pair:t,add_special_tokens:r,return_token_type_ids:i}).input_ids}batch_decode(e,t={}){return e instanceof je&&(e=e.tolist()),e.map(r=>this.decode(r,t))}decode(e,t={}){if(e instanceof je&&(e=xw(e)),!Array.isArray(e)||e.length===0||!y1(e[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(e,t)}decode_single(e,{skip_special_tokens:t=!1,clean_up_tokenization_spaces:r=null}){let i=this.model.convert_ids_to_tokens(e);t&&(i=i.filter(s=>!this.special_tokens.includes(s)));let a=this.decoder?this.decoder(i):i.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(a=a.replaceAll(this.decoder.end_of_word_suffix," "),t&&(a=a.trim())),(r??this.clean_up_tokenization_spaces)&&(a=Nd(a)),a}get default_chat_template(){return this._warned_about_chat_template||(console.warn("No chat template is defined for this tokenizer - using a default chat template that implements the ChatML format. If the default is not appropriate for your model, please set `tokenizer.chat_template` to an appropriate template. See https://huggingface.co/docs/transformers/main/chat_templating for more information."),this._warned_about_chat_template=!0),this._default_chat_template}apply_chat_template(e,{chat_template:t=null,add_generation_prompt:r=!1,tokenize:i=!0,padding:a=!1,truncation:s=!1,max_length:o=null,return_tensor:l=!0,return_dict:u=!1,tokenizer_kwargs:c={},...h}={}){if(this.chat_template&&typeof this.chat_template=="object"||this.chat_template===null&&this.default_chat_template&&typeof this.default_chat_template=="object"){const y=this.chat_template??this.default_chat_template;if(t!==null&&Object.hasOwn(y,t))t=y[t];else if(t===null&&"default"in y)t=y.default;else if(t===null)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(y).sort()}.`)}else t??=this.chat_template??this.default_chat_template;if(typeof t!="string")throw Error(`chat_template must be a string, but got ${typeof t}`);let p=this._compiled_template_cache.get(t);p===void 0&&(p=new XS(t),this._compiled_template_cache.set(t,p));const d=Object.create(null);for(const y of FE){const g=this.getToken(y);g&&(d[y]=g)}const m=p.render({messages:e,add_generation_prompt:r,...d,...h});if(i){const y=this._call(m,{add_special_tokens:!1,padding:a,truncation:s,max_length:o,return_tensor:l,...c});return u?y:y.input_ids}return m}}class VE extends At{return_token_type_ids=!0}class HE extends At{return_token_type_ids=!0}class qE extends At{return_token_type_ids=!0}class jE extends At{return_token_type_ids=!0}class XE extends At{return_token_type_ids=!0}class YE extends At{return_token_type_ids=!0}class KE extends At{return_token_type_ids=!0}class ZE extends At{return_token_type_ids=!0}class QE extends At{return_token_type_ids=!0}class JE extends At{}class eM extends At{}class tM extends At{return_token_type_ids=!0;constructor(e,t){super(e,t),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class nM extends At{return_token_type_ids=!0}class rM extends At{}class $w extends At{_default_chat_template='{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}'}class iM extends At{}class Rw extends At{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(r=>this.languageRegex.test(r)),this.lang_to_token=r=>r}_build_translation_inputs(e,t,r){return Ud(this,e,t,r)}}class aM extends Rw{}class sM extends At{}class oM extends $w{constructor(e,t){const r=".,!?…。，、।۔،",i=e.pre_tokenizer?.pretokenizers[0]?.pattern;i&&i.Regex===` ?[^(\\s|[${r}])]+`&&(i.Regex=` ?[^\\s${r}]+`),super(e,t)}}const jo="▁";class Iw extends At{_default_chat_template=`{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif USE_DEFAULT_PROMPT == true and not '<<SYS>>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'DEFAULT_SYSTEM_MESSAGE' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>
' + system_message + '
<</SYS>>

' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>
' + content.strip() + '
<</SYS>>

' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}`;DEFAULT_SYSTEM_PROMPT=`You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.`;padding_side="left";constructor(e,t){super(e,t),this.use_default_system_prompt=t.use_default_system_prompt??!1,this.legacy=t.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new Cw({replacement:jo,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(e){if(e===null)return null;if(this.legacy||e.length===0)return super._encode_text(e);let t=super._encode_text(jo+e.replaceAll(jo," "));return t.length>1&&t[0]===jo&&this.special_tokens.includes(t[1])&&(t=t.slice(1)),t}get default_chat_template(){return super.default_chat_template.replaceAll("USE_DEFAULT_PROMPT",this.use_default_system_prompt?"true":"false").replaceAll("DEFAULT_SYSTEM_MESSAGE",this.DEFAULT_SYSTEM_PROMPT.replaceAll(`
`,"\\n").replaceAll("'","\\'"))}}class lM extends Iw{}class uM extends At{}class cM extends At{}class dM extends At{}class hM extends At{}class pM extends At{}class fM extends At{}class mM extends At{_default_chat_template=`{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
' + message['content'] | trim + '<end_of_turn>
' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
'}}{% endif %}`}class gM extends At{}function Ud(n,e,t,r){if(!("language_codes"in n)||!Array.isArray(n.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in n)||!(n.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in n)||typeof n.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const i=r.src_lang,a=r.tgt_lang;if(!n.language_codes.includes(a))throw new Error(`Target language code "${a}" is not valid. Must be one of: {${n.language_codes.join(", ")}}`);if(i!==void 0){if(!n.language_codes.includes(i))throw new Error(`Source language code "${i}" is not valid. Must be one of: {${n.language_codes.join(", ")}}`);for(const s of n.post_processor.config.single)if("SpecialToken"in s&&n.languageRegex.test(s.SpecialToken.id)){s.SpecialToken.id=n.lang_to_token(i);break}}return r.forced_bos_token_id=n.model.convert_tokens_to_ids([n.lang_to_token(a)])[0],n._call(e,t)}class _M extends At{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(r=>this.languageRegex.test(r)),this.lang_to_token=r=>r}_build_translation_inputs(e,t,r){return Ud(this,e,t,r)}}class yM extends At{constructor(e,t){super(e,t),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(r=>this.languageRegex.test(r)).map(r=>r.slice(2,-2)),this.lang_to_token=r=>`__${r}__`}_build_translation_inputs(e,t,r){return Ud(this,e,t,r)}}class vM extends At{_default_chat_template='{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}';get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(e,{return_timestamps:t=!1,return_language:r=!1,time_precision:i=null,force_full_sequences:a=!0}={}){if(i===null)throw Error("Must specify time_precision");let s=null;const o=t==="word";function l(){return{language:s,timestamp:[null,null],text:""}}const u=[];let c=l(),h=0;const p=this.timestamp_begin;let d=[],m=[],y=!1,g=null;const _=new Set(this.all_special_ids);for(const E of e){const T=E.tokens,I=o?E.token_timestamps:null;let C=null,B=p;if("stride"in E){const[j,Q,ie]=E.stride;if(h-=Q,g=j-ie,Q&&(B=Q/i+p),ie)for(let F=T.length-1;F>=0;--F){const $=Number(T[F]);if($>=p){if(C!==null&&($-p)*i<g)break;C=$}}}let R=[],k=[];for(let j=0;j<T.length;++j){const Q=Number(T[j]);if(_.has(Q)){const ie=this.decode([Q]),F=Al.get(ie.slice(2,-2));if(F!==void 0){if(s!==null&&F!==s&&!t){d.push(R);const $=this.findLongestCommonSequence(d)[0],L=this.decode($);c.text=L,u.push(c),d=[],R=[],c=l()}s=c.language=F}}else if(Q>=p){const ie=(Q-p)*i+h,F=wl(ie,2);if(C!==null&&Q>=C)y=!0;else if(y||d.length>0&&Q<B)y=!1;else if(c.timestamp[0]===null)c.timestamp[0]=F;else if(F!==c.timestamp[0]){c.timestamp[1]=F,d.push(R),o&&m.push(k);const[$,L]=this.findLongestCommonSequence(d,m),H=this.decode($);c.text=H,o&&(c.words=this.collateWordTimestamps($,L,s)),u.push(c),d=[],R=[],m=[],k=[],c=l()}}else if(R.push(Q),o){let ie=wl(I[j]+h,2),F;j+1<I.length?F=wl(I[j+1]+h,2):F=null,k.push([ie,F])}}if("stride"in E){const[j,Q,ie]=E.stride;h+=j-ie}R.length>0?(d.push(R),o&&m.push(k)):d.every(j=>j.length===0)&&(c=l(),d=[],R=[],m=[],k=[])}if(d.length>0){if(a&&t)throw new Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");const[E,T]=this.findLongestCommonSequence(d,m),I=this.decode(E);c.text=I,o&&(c.words=this.collateWordTimestamps(E,T,s)),u.push(c)}let w=Object.create(null);const b=u.map(E=>E.text).join("");if(t||r){for(let E=0;E<u.length;++E){const T=u[E];t||delete T.timestamp,r||delete T.language}if(o){const E=[];for(const T of u)for(const I of T.words)E.push(I);w={chunks:E}}else w={chunks:u}}return[b,w]}findLongestCommonSequence(e,t=null){let r=e[0],i=r.length,a=[];const s=Array.isArray(t)&&t.length>0;let o=s?[]:null,l=s?t[0]:null;for(let u=1;u<e.length;++u){const c=e[u];let h=0,p=[i,i,0,0];const d=c.length;for(let E=1;E<i+d;++E){const T=E/1e4,I=Math.max(0,i-E),C=Math.min(i,i+d-E),B=r.slice(I,C),R=Math.max(0,E-i),k=Math.min(d,E),j=c.slice(R,k);if(B.length!==j.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");const Q=B.filter((F,$)=>F===j[$]).length,ie=Q/E+T;Q>1&&ie>h&&(h=ie,p=[I,C,R,k])}const[m,y,g,_]=p,w=Math.floor((y+m)/2),b=Math.floor((_+g)/2);a.push(...r.slice(0,w)),r=c.slice(b),i=r.length,s&&(o.push(...l.slice(0,w)),l=t[u].slice(b))}return a.push(...r),s?(o.push(...l),[a,o]):[a,[]]}collateWordTimestamps(e,t,r){const[i,a,s]=this.combineTokensIntoWords(e,r),o=[];for(let l=0;l<i.length;++l){const u=s[l];o.push({text:i[l],timestamp:[t[u.at(0)][0],t[u.at(-1)][1]]})}return o}combineTokensIntoWords(e,t,r=`"'“¡¿([{-`,i=`"'.。,，!！?？:：”)]}、`){t=t??"english";let a,s,o;return["chinese","japanese","thai","lao","myanmar"].includes(t)?[a,s,o]=this.splitTokensOnUnicode(e):[a,s,o]=this.splitTokensOnSpaces(e),this.mergePunctuations(a,s,o,r,i)}decode(e,t){let r;return t?.decode_with_timestamps?(e instanceof je&&(e=xw(e)),r=this.decodeWithTimestamps(e,t)):r=super.decode(e,t),r}decodeWithTimestamps(e,t){const r=t?.time_precision??.02,i=Array.from(this.all_special_ids).at(-1)+1;let a=[[]];for(let s of e)if(s=Number(s),s>=i){const o=((s-i)*r).toFixed(2);a.push(`<|${o}|>`),a.push([])}else a[a.length-1].push(s);return a=a.map(s=>typeof s=="string"?s:super.decode(s,t)),a.join("")}splitTokensOnUnicode(e){const t=this.decode(e,{decode_with_timestamps:!0}),r="�",i=[],a=[],s=[];let o=[],l=[],u=0;for(let c=0;c<e.length;++c){const h=e[c];o.push(h),l.push(c);const p=this.decode(o,{decode_with_timestamps:!0});(!p.includes(r)||t[u+p.indexOf(r)]===r)&&(i.push(p),a.push(o),s.push(l),o=[],l=[],u+=p.length)}return[i,a,s]}splitTokensOnSpaces(e){const[t,r,i]=this.splitTokensOnUnicode(e),a=[],s=[],o=[],l=new RegExp(`^[${Qs}]$`,"gu");for(let u=0;u<t.length;++u){const c=t[u],h=r[u],p=i[u],d=h[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),m=c.startsWith(" "),y=c.trim(),g=l.test(y);if(d||m||g||a.length===0)a.push(c),s.push(h),o.push(p);else{const _=a.length-1;a[_]+=c,s[_].push(...h),o[_].push(...p)}}return[a,s,o]}mergePunctuations(e,t,r,i,a){const s=structuredClone(e),o=structuredClone(t),l=structuredClone(r);let u=s.length-2,c=s.length-1;for(;u>=0;)s[u].startsWith(" ")&&i.includes(s[u].trim())?(s[c]=s[u]+s[c],o[c]=Cn(o[u],o[c]),l[c]=Cn(l[u],l[c]),s[u]="",o[u]=[],l[u]=[]):c=u,--u;for(u=0,c=1;c<s.length;)!s[u].endsWith(" ")&&a.includes(s[c])?(s[u]+=s[c],o[u]=Cn(o[u],o[c]),l[u]=Cn(l[u],l[c]),s[c]="",o[c]=[],l[c]=[]):u=c,++c;return[s.filter(h=>h),o.filter(h=>h.length>0),l.filter(h=>h.length>0)]}get_decoder_prompt_ids({language:e=null,task:t=null,no_timestamps:r=!0}={}){const i=[];if(e){const a=ww(e),s=this.model.tokens_to_ids.get(`<|${a}|>`);if(s===void 0)throw new Error(`Unable to find language "${a}" in model vocabulary. Please report this issue at ${ic}.`);i.push(s)}else i.push(null);if(t){if(t=t.toLowerCase(),t!=="transcribe"&&t!=="translate")throw new Error(`Task "${t}" is not supported. Must be one of: ["transcribe", "translate"]`);const a=this.model.tokens_to_ids.get(`<|${t}|>`);if(a===void 0)throw new Error(`Unable to find task "${t}" in model vocabulary. Please report this issue at ${ic}.`);i.push(a)}else i.push(null);if(r){const a=this.model.tokens_to_ids.get("<|notimestamps|>");if(a===void 0)throw new Error(`Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at ${ic}.`);i.push(a)}return i.map((a,s)=>[s+1,a]).filter(a=>a[1]!==null)}}class wM extends At{}class bM extends At{}class xM extends At{}class SM extends At{constructor(e,t){super(e,t),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(r=>this.languageRegex.test(r)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(e){if(e===null)return null;const[t,...r]=e.trim().split(this.languageRegex);if(r.length===0)return super._encode_text(t);if(r.length===2){const[i,a]=r;return this.supported_language_codes.includes(i)||console.warn(`Unsupported language code "${i}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),Cn([i],super._encode_text(a))}}}class EM extends At{}class Pw extends At{_default_chat_template="{% for message in messages %}{% if message['role'] == 'user' %}{{ ' ' }}{% endif %}{{ message['content'] }}{% if not loop.last %}{{ '  ' }}{% endif %}{% endfor %}{{ eos_token }}"}class MM extends Pw{}class TM extends At{}class AM extends At{}class CM extends At{constructor(e,t){super(e,t),this.decoder=new OE({})}}class $M extends At{}class Tn{static TOKENIZER_CLASS_MAPPING={T5Tokenizer:rM,DistilBertTokenizer:JE,CamembertTokenizer:eM,DebertaTokenizer:XE,DebertaV2Tokenizer:YE,BertTokenizer:VE,HerbertTokenizer:KE,ConvBertTokenizer:ZE,RoFormerTokenizer:QE,XLMTokenizer:tM,ElectraTokenizer:nM,MobileBertTokenizer:qE,SqueezeBertTokenizer:jE,AlbertTokenizer:HE,GPT2Tokenizer:$w,BartTokenizer:iM,MBartTokenizer:Rw,MBart50Tokenizer:aM,RobertaTokenizer:sM,WhisperTokenizer:vM,CodeGenTokenizer:wM,CLIPTokenizer:bM,SiglipTokenizer:xM,MarianTokenizer:SM,BloomTokenizer:oM,NllbTokenizer:_M,M2M100Tokenizer:yM,LlamaTokenizer:Iw,CodeLlamaTokenizer:lM,XLMRobertaTokenizer:uM,MPNetTokenizer:cM,FalconTokenizer:dM,GPTNeoXTokenizer:hM,EsmTokenizer:pM,Wav2Vec2CTCTokenizer:EM,BlenderbotTokenizer:Pw,BlenderbotSmallTokenizer:MM,SpeechT5Tokenizer:TM,NougatTokenizer:AM,VitsTokenizer:CM,Qwen2Tokenizer:fM,GemmaTokenizer:mM,Grok1Tokenizer:gM,CohereTokenizer:$M,PreTrainedTokenizer:At};static async from_pretrained(e,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main",legacy:o=null}={}){const[l,u]=await bw(e,{progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s,legacy:o}),c=u.tokenizer_class?.replace(/Fast$/,"")??"PreTrainedTokenizer";let h=this.TOKENIZER_CLASS_MAPPING[c];return h||(console.warn(`Unknown tokenizer class "${c}", attempting to construct from base class.`),h=At),new h(l,u)}}async function RM(n,e){return await Ii(n,"config.json",!0,e)}function Qa(n){const e={};let t={};switch(n.model_type){case"llava":case"paligemma":t=Qa(n.text_config);break;case"moondream1":t=Qa(n.phi_config);break;case"musicgen":t=Qa(n.decoder);break;case"gpt2":case"gptj":case"codegen":case"gpt_bigcode":e.num_heads="n_head",e.num_layers="n_layer",e.hidden_size="n_embd";break;case"gpt_neox":case"stablelm":case"opt":case"phi":case"phi3":case"falcon":e.num_heads="num_attention_heads",e.num_layers="num_hidden_layers",e.hidden_size="hidden_size";break;case"llama":case"cohere":case"mistral":case"starcoder2":case"qwen2":e.num_heads="num_key_value_heads",e.num_layers="num_hidden_layers",e.hidden_size="hidden_size",e.num_attention_heads="num_attention_heads";break;case"gemma":e.num_heads="num_key_value_heads",e.num_layers="num_hidden_layers",e.dim_kv="head_dim";break;case"openelm":e.num_heads="num_kv_heads",e.num_layers="num_transformer_layers",e.dim_kv="head_dim";break;case"gpt_neo":e.num_heads="num_heads",e.num_layers="num_layers",e.hidden_size="hidden_size";break;case"bloom":e.num_heads="n_head",e.num_layers="n_layer",e.hidden_size="hidden_size";break;case"mpt":e.num_heads="n_heads",e.num_layers="n_layers",e.hidden_size="d_model";break;case"t5":case"mt5":case"longt5":e.num_decoder_layers="num_decoder_layers",e.num_decoder_heads="num_heads",e.decoder_dim_kv="d_kv",e.num_encoder_layers="num_layers",e.num_encoder_heads="num_heads",e.encoder_dim_kv="d_kv";break;case"bart":case"mbart":case"marian":case"whisper":case"m2m_100":case"blenderbot":case"blenderbot-small":e.num_decoder_layers="decoder_layers",e.num_decoder_heads="decoder_attention_heads",e.decoder_hidden_size="d_model",e.num_encoder_layers="encoder_layers",e.num_encoder_heads="encoder_attention_heads",e.encoder_hidden_size="d_model";break;case"speecht5":e.num_decoder_layers="decoder_layers",e.num_decoder_heads="decoder_attention_heads",e.decoder_hidden_size="hidden_size",e.num_encoder_layers="encoder_layers",e.num_encoder_heads="encoder_attention_heads",e.encoder_hidden_size="hidden_size";break;case"trocr":e.num_encoder_layers=e.num_decoder_layers="decoder_layers",e.num_encoder_heads=e.num_decoder_heads="decoder_attention_heads",e.encoder_hidden_size=e.decoder_hidden_size="d_model";break;case"musicgen_decoder":e.num_encoder_layers=e.num_decoder_layers="num_hidden_layers",e.num_encoder_heads=e.num_decoder_heads="num_attention_heads",e.encoder_hidden_size=e.decoder_hidden_size="hidden_size";break;case"vision-encoder-decoder":const i=Qa(n.encoder),a=Qa(n.decoder),s="num_decoder_layers"in a,o={};return s?(o.num_decoder_layers=a.num_layers,o.num_decoder_heads=a.num_heads,o.decoder_hidden_size=a.hidden_size,o.num_encoder_layers=i.num_layers,o.num_encoder_heads=i.num_heads,o.encoder_hidden_size=i.hidden_size):(o.num_layers=a.num_layers,o.num_heads=a.num_heads,o.hidden_size=a.hidden_size),o}const r={...t,...oa(n,["model_type","multi_query","is_encoder_decoder"])};for(const i in e)r[i]=n[e[i]];return r}function kw(n,{prefix:e="past_key_values",encoder_add_pkv:t=!0}={}){const r={},i=n.normalized_config,a=1;if(i.is_encoder_decoder&&t){const s=i.encoder_dim_kv??i.encoder_hidden_size/i.num_encoder_heads,o=i.decoder_dim_kv??i.decoder_hidden_size/i.num_decoder_heads,l=[a,i.num_encoder_heads,0,s],u=[a,i.num_decoder_heads,0,o];for(let c=0;c<i.num_decoder_layers;++c)r[`${e}.${c}.encoder.key`]=l,r[`${e}.${c}.encoder.value`]=l,r[`${e}.${c}.decoder.key`]=u,r[`${e}.${c}.decoder.value`]=u}else{const s=i.num_heads,o=i.num_layers,l=i.dim_kv??i.hidden_size/(i.num_attention_heads??s);if(i.model_type==="falcon"){const u=[a*s,0,l];for(let c=0;c<o;++c)r[`${e}.${c}.key`]=u,r[`${e}.${c}.value`]=u}else if(i.multi_query){const u=[a*s,0,2*l];for(let c=0;c<o;++c)r[`${e}.${c}.key_value`]=u}else if(i.model_type==="bloom"){const u=[a*s,l,0],c=[a*s,0,l];for(let h=0;h<o;++h)r[`${e}.${h}.key`]=u,r[`${e}.${h}.value`]=c}else if(i.model_type==="openelm")for(let u=0;u<o;++u){const c=[a,s[u],0,l];r[`${e}.${u}.key`]=c,r[`${e}.${u}.value`]=c}else{const u=[a,s,0,l];for(let c=0;c<o;++c)r[`${e}.${c}.key`]=u,r[`${e}.${c}.value`]=u}}return r}class Wl{max_position_embeddings;constructor(e){this.model_type=null,this.is_encoder_decoder=!1,Object.assign(this,e),this.normalized_config=Qa(this)}static async from_pretrained(e,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main"}={}){r&&!(r instanceof Wl)&&(r=new Wl(r));const o=r??await RM(e,{progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s});return new this(o)}}class Ow{static async from_pretrained(...e){return Wl.from_pretrained(...e)}}const Xo=Object.freeze({cpu:"cpu",gpu:"gpu",wasm:"wasm",webgpu:"webgpu"}),IM=function(){let n;return async function(){if(n===void 0)if(pa.IS_NODE_ENV)n=!0;else if(!pa.IS_WEBGPU_AVAILABLE)n=!1;else try{n=(await navigator.gpu.requestAdapter()).features.has("shader-f16")}catch{n=!1}return n}}(),nr=Object.freeze({fp32:"fp32",fp16:"fp16",q8:"q8",int8:"int8",uint8:"uint8",q4:"q4",bnb4:"bnb4",q4f16:"q4f16"}),PM=Object.freeze({[Xo.cpu]:nr.q8,[Xo.gpu]:nr.fp32,[Xo.wasm]:nr.q8,[Xo.webgpu]:nr.fp32}),ig=Object.freeze({[nr.fp32]:"",[nr.fp16]:"_fp16",[nr.int8]:"_int8",[nr.uint8]:"_uint8",[nr.q8]:"_quantized",[nr.q4]:"_q4",[nr.q4f16]:"_q4f16",[nr.bnb4]:"_bnb4"});class Zr extends Nn{_call(e,t){throw Error("`_call` should be implemented in a subclass")}}class Bd extends Nn{_call(e,t){throw Error("`_call` should be implemented in a subclass")}}class ed extends Nn{constructor(){super(),this.processors=[]}push(e){this.processors.push(e)}extend(e){this.processors.push(...e)}_call(e,t){let r=t;for(const i of this.processors)r=i(e,r);return r}[Symbol.iterator](){return this.processors.values()}}class kM extends Zr{constructor(e){super(),this.bos_token_id=e}_call(e,t){for(let r=0;r<e.length;++r)if(e[r].length===1){const i=t[r];i.data.fill(-1/0),i.data[this.bos_token_id]=0}return t}}class OM extends Zr{constructor(e,t){super(),this.max_length=e,this.eos_token_id=Array.isArray(t)?t:[t]}_call(e,t){for(let r=0;r<e.length;++r)if(e[r].length===this.max_length-1){const i=t[r];i.data.fill(-1/0);for(const a of this.eos_token_id)i.data[a]=0}return t}}class DM extends Zr{constructor(e,t){super(),this.begin_suppress_tokens=e,this.begin_index=t}_call(e,t){for(let r=0;r<e.length;++r)if(e[r].length===this.begin_index){const i=t[r];for(const a of this.begin_suppress_tokens)i.data[a]=-1/0}return t}}class LM extends Zr{constructor(e,t){super(),this.eos_token_id=Array.isArray(e.eos_token_id)?e.eos_token_id[0]:e.eos_token_id,this.no_timestamps_token_id=e.no_timestamps_token_id,this.timestamp_begin=this.no_timestamps_token_id+1,this.begin_index=t.length,t.at(-1)===this.no_timestamps_token_id&&(this.begin_index-=1),this.max_initial_timestamp_index=e.max_initial_timestamp_index}_call(e,t){for(let r=0;r<e.length;++r){const a=t[r].data;if(a[this.no_timestamps_token_id]=-1/0,e[r].length===this.begin_index-1){a.fill(-1/0),a[this.timestamp_begin]=0;continue}const s=e[r].slice(this.begin_index),o=s.length>=1&&s[s.length-1]>=this.timestamp_begin,l=s.length<2||s[s.length-2]>=this.timestamp_begin;if(o&&(l?a.subarray(this.timestamp_begin).fill(-1/0):a.subarray(0,this.eos_token_id).fill(-1/0)),e[r].length===this.begin_index&&this.max_initial_timestamp_index!==null){const p=this.timestamp_begin+this.max_initial_timestamp_index;a.subarray(p+1).fill(-1/0)}const u=T1(a),c=Math.log(u.subarray(this.timestamp_begin).map(Math.exp).reduce((p,d)=>p+d)),h=wr(u.subarray(0,this.timestamp_begin))[0];c>h&&a.subarray(0,this.timestamp_begin).fill(-1/0)}return t}}class zM extends Zr{constructor(e){super(),this.no_repeat_ngram_size=e}getNgrams(e){const t=e.length,r=[];for(let a=0;a<t+1-this.no_repeat_ngram_size;++a){const s=[];for(let o=0;o<this.no_repeat_ngram_size;++o)s.push(e[a+o]);r.push(s)}const i=new Map;for(const a of r){const s=a.slice(0,a.length-1),o=JSON.stringify(s),l=i.get(o)??[];l.push(a[a.length-1]),i.set(o,l)}return i}getGeneratedNgrams(e,t){const r=t.slice(t.length+1-this.no_repeat_ngram_size,t.length);return e.get(JSON.stringify(r))??[]}calcBannedNgramTokens(e){const t=[];if(e.length+1<this.no_repeat_ngram_size)return t;{const r=this.getNgrams(e);return this.getGeneratedNgrams(r,e)}}_call(e,t){for(let r=0;r<e.length;++r){const i=t[r],a=this.calcBannedNgramTokens(e[r]);for(const s of a)i.data[s]=-1/0}return t}}class NM extends Zr{constructor(e){super(),this.penalty=e}_call(e,t){for(let r=0;r<e.length;++r){const i=t[r];for(const a of e[r])i.data[a]<0?i.data[a]*=this.penalty:i.data[a]/=this.penalty}return t}}class UM extends Zr{constructor(e,t){super(),this.min_length=e,this.eos_token_id=Array.isArray(t)?t:[t]}_call(e,t){for(let r=0;r<e.length;++r)if(e[r].length<this.min_length){const i=t[r];for(const a of this.eos_token_id)i.data[a]=-1/0}return t}}class BM extends Zr{constructor(e,t,r){super(),this.prompt_length_to_skip=e,this.min_new_tokens=t,this.eos_token_id=Array.isArray(r)?r:[r]}_call(e,t){for(let r=0;r<e.length;++r)if(e[r].length-this.prompt_length_to_skip<this.min_new_tokens){const a=t[r];for(const s of this.eos_token_id)a[s]=-1/0}return t}}class FM extends Zr{constructor(e,t){super(),this.bad_words_ids=e,this.eos_token_id=Array.isArray(t)?t:[t]}_call(e,t){for(let r=0;r<e.length;++r){const i=t[r];for(const a of this.bad_words_ids){let s=!0;for(let o=1;o<=a.length-1&&a.length<e[o].length;++o)if(a.at(-o-1)!==e[o].at(-o)){s=!1;break}s&&(i[a.at(-1)]=-1/0)}}return t}}class GM extends Zr{constructor(e){if(super(),e<=1)throw new Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${e}.`);this.guidance_scale=e}_call(e,t){if(t.dims[0]!==2*e.length)throw new Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. Got batch size ${t.dims[0]} for the logits and ${e.length} for the input ids.`);const r=e.length,i=t.slice([0,r],null),a=t.slice([r,t.dims[0]],null);for(let s=0;s<a.data.length;++s)a.data[s]+=(i.data[s]-a.data[s])*this.guidance_scale;return a}}class WM extends Bd{constructor(e){super(),this.temperature=e}_call(e,t){const r=t.data;for(let i=0;i<r.length;++i)r[i]/=this.temperature;return t}}class VM extends Bd{constructor(e,{filter_value:t=-1/0,min_tokens_to_keep:r=1}={}){if(super(),e<0||e>1)throw new Error(`\`top_p\` must be a float > 0 and < 1, but is ${e}`);if(!Number.isInteger(r)||r<1)throw new Error(`\`min_tokens_to_keep\` must be a positive integer, but is ${r}`);this.top_p=e,this.filter_value=t,this.min_tokens_to_keep=r}}class HM extends Bd{constructor(e,{filter_value:t=-1/0,min_tokens_to_keep:r=1}={}){if(super(),!Number.isInteger(e)||e<0)throw new Error(`\`top_k\` must be a positive integer, but is ${e}`);this.top_k=Math.max(e,r),this.filter_value=t}}class Dw{max_length=20;max_new_tokens=null;min_length=0;min_new_tokens=null;early_stopping=!1;max_time=null;do_sample=!1;num_beams=1;num_beam_groups=1;penalty_alpha=null;use_cache=!0;temperature=1;top_k=50;top_p=1;typical_p=1;epsilon_cutoff=0;eta_cutoff=0;diversity_penalty=0;repetition_penalty=1;encoder_repetition_penalty=1;length_penalty=1;no_repeat_ngram_size=0;bad_words_ids=null;force_words_ids=null;renormalize_logits=!1;constraints=null;forced_bos_token_id=null;forced_eos_token_id=null;remove_invalid_values=!1;exponential_decay_length_penalty=null;suppress_tokens=null;begin_suppress_tokens=null;forced_decoder_ids=null;guidance_scale=null;num_return_sequences=1;output_attentions=!1;output_hidden_states=!1;output_scores=!1;return_dict_in_generate=!1;pad_token_id=null;bos_token_id=null;eos_token_id=null;encoder_no_repeat_ngram_size=0;decoder_start_token_id=null;generation_kwargs={};constructor(e){Object.assign(this,oa(e,Object.getOwnPropertyNames(this)))}}class Fd extends Nn{_call(e,t){throw Error("StoppingCriteria needs to be subclassed")}}class Gd extends Nn{constructor(){super(),this.criteria=[]}push(e){this.criteria.push(e)}extend(e){e instanceof Gd?e=e.criteria:e instanceof Fd&&(e=[e]),this.criteria.push(...e)}_call(e,t){const r=new Array(e.length).fill(!1);for(const i of this.criteria){const a=i(e,t);for(let s=0;s<r.length;++s)r[s]||=a[s]}return r}[Symbol.iterator](){return this.criteria.values()}}class qM extends Fd{constructor(e,t=null){super(),this.max_length=e,this.max_position_embeddings=t}_call(e){return e.map(t=>t.length>=this.max_length)}}class jM extends Fd{constructor(e){super(),Array.isArray(e)||(e=[e]),this.eos_token_id=e}_call(e,t){return e.map(r=>{const i=r.at(-1);return this.eos_token_id.some(a=>i==a)})}}class nu extends Nn{constructor(e){super(),this.generation_config=e}async _call(e){return this.sample(e)}async sample(e){throw Error("sample should be implemented in subclasses.")}getLogits(e,t){let r=e.dims.at(-1),i=e.data;if(t===-1)i=i.slice(-r);else{let a=t*r;i=i.slice(a,a+r)}return i}randomSelect(e){let t=0;for(let i=0;i<e.length;++i)t+=e[i];let r=Math.random()*t;for(let i=0;i<e.length;++i)if(r-=e[i],r<=0)return i;return 0}static getSampler(e){if(e.do_sample)return new YM(e);if(e.num_beams>1)return new KM(e);if(e.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${e.num_return_sequences}.`);return new XM(e)}}class XM extends nu{async sample(e){const t=wr(e.data)[1];return[[BigInt(t),0]]}}class YM extends nu{async sample(e){let t=e.dims.at(-1);this.generation_config.top_k>0&&(t=Math.min(this.generation_config.top_k,t));const[r,i]=await gs(e,t),a=zn(r.data);return Array.from({length:this.generation_config.num_beams},()=>{const s=this.randomSelect(a);return[i.data[s],Math.log(a[s])]})}}class KM extends nu{async sample(e){let t=e.dims.at(-1);this.generation_config.top_k>0&&(t=Math.min(this.generation_config.top_k,t));const[r,i]=await gs(e,t),a=zn(r.data);return Array.from({length:this.generation_config.num_beams},(s,o)=>[i.data[o],Math.log(a[o])])}}class ZM extends Dw{return_timestamps=null;return_token_timestamps=null;num_frames=null;alignment_heads=null;task=null;language=null;no_timestamps_token_id=null;prompt_ids=null;is_multilingual=null;lang_to_id=null;task_to_id=null;max_initial_timestamp_index=1}const _t={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,MaskGeneration:5,ImageTextToText:6,Musicgen:7},Vl=new Map,Lw=new Map,Ws=new Map;async function QM(n,e,t){let r=t.device;r&&typeof r!="string"&&(r.hasOwnProperty(e)?r=r[e]:(console.warn(`Device not specified for ${e}. Using the default device.`),r=null));const i=uS(r);let a=t.dtype;if(typeof a!="string"&&(a&&a.hasOwnProperty(e)?a=a[e]:(a=PM[i[0]],console.warn(`Dtype not specified for ${e}. Using the default dtype: ${a}.`))),ig.hasOwnProperty(a)){if(a===nr.fp16&&!await IM())throw new Error("The device does not support fp16.")}else throw new Error(`Invalid dtype: ${a}. Should be one of: ${Object.keys(nr).join(", ")}`);const s=ig[a],o=`${t.subfolder??""}/${e}${s}.onnx`,l={...t.session_options};l.executionProviders??=i;const u=vl(n,o,!0,t);let c=[];if(t.use_external_data_format){if(pa.IS_NODE_ENV)throw new Error("External data format is not yet supported in Node.js");const p=`${e}${s}.onnx_data`,d=`${t.subfolder??""}/${p}`;c.push(new Promise(async(m,y)=>{const g=await vl(n,d,!0,t);m({path:p,data:g})}))}else l.externalData!==void 0&&(c=l.externalData.map(async p=>{if(typeof p.data=="string"){const d=await vl(n,p.data,!0,t);return{...p,data:d}}return p}));if(c.length>0&&(l.externalData=await Promise.all(c)),r==="webgpu"){const p=kw(t.config,{prefix:"present"});if(Object.keys(p).length>0){const d={};for(const m in p)d[m]="gpu-buffer";l.preferredOutputLocation=d}}return{buffer:await u,session_options:l}}async function ji(n,e,t){const r=Object.keys(e),i=await Promise.all(r.map(async s=>QM(n,e[s],t))),a={};for(let s=0;s<r.length;++s){const{buffer:o,session_options:l}=i[s],u=await gw(o,l);a[r[s]]=u}return a}function JM(n,e){const t=Object.create(null),r=[];for(const s of n.inputNames){const o=e[s];if(!(o instanceof je)){r.push(s);continue}t[s]=cS()?o.clone():o}if(r.length>0)throw new Error(`An error occurred during model execution: "Missing the following inputs: ${r.join(", ")}.`);const i=Object.keys(e).length,a=n.inputNames.length;if(i>a){let s=Object.keys(e).filter(o=>!n.inputNames.includes(o));console.warn(`WARNING: Too many inputs were provided (${i} > ${a}). The following inputs will be ignored: "${s.join(", ")}".`)}return t}async function Ni(n,e){const t=JM(n,e);try{const r=Object.fromEntries(Object.entries(t).map(([a,s])=>[a,s.ort_tensor]));let i=await n.run(r);return i=zw(i),i}catch(r){throw console.error(`An error occurred during model execution: "${r}".`),console.error("Inputs given to model:",t),r}}function zw(n){for(let e in n)_w(n[e])?n[e]=new je(n[e]):typeof n[e]=="object"&&zw(n[e]);return n}function Nw(n){if(n instanceof je)return n;if(n.length===0)throw Error("items must be non-empty");if(Array.isArray(n[0])){if(n.some(e=>e.length!==n[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 je("int64",BigInt64Array.from(n.flat().map(e=>BigInt(e))),[n.length,n[0].length])}else return new je("int64",BigInt64Array.from(n.map(e=>BigInt(e))),[1,n.length])}function Uw(n){return new je("bool",[n],[1])}async function ag(n,e){let{encoder_outputs:t,past_key_values:r}=e;if(!t){const l=oa(e,n.sessions.model.inputNames);t=(await Js(n,l)).last_hidden_state}const{input_ids:i,decoder_input_ids:a,...s}=e;return s.input_ids=a,s.encoder_hidden_states=t,n.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask")&&(s.encoder_attention_mask=e.attention_mask),await Wd(n,s,!0)}async function Js(n,e){const t=n.sessions.model,r=Object.create(null);for(const i of t.inputNames)r[i]=e[i];return t.inputNames.includes("token_type_ids")&&!r.token_type_ids&&(r.token_type_ids=new je("int64",new BigInt64Array(r.input_ids.data.length),r.input_ids.dims)),await Ni(t,r)}async function Wd(n,e,t=!1){const r=n.sessions[t?"decoder_model_merged":"model"],{past_key_values:i,...a}=e;r.inputNames.includes("use_cache_branch")&&(a.use_cache_branch=Uw(!!i)),r.inputNames.includes("position_ids")&&a.attention_mask&&!a.position_ids&&(a.position_ids=tT(a,i)),n.addPastKeyValues(a,i);const s=oa(a,r.inputNames);return await Ni(r,s)}async function eT(n,{input_ids:e=null,attention_mask:t=null,pixel_values:r=null,position_ids:i=null,inputs_embeds:a=null,past_key_values:s=null,generation_config:o=null,logits_processor:l=null,...u}){if(!a){if(a=await n.encode_text({input_ids:e}),r&&e.dims[1]!==1){const h=await n.encode_image({pixel_values:r});({inputs_embeds:a,attention_mask:t}=n._merge_input_ids_with_image_features({image_features:h,inputs_embeds:a,input_ids:e,attention_mask:t}))}else if(s&&r&&e.dims[1]===1){const h=e.dims[1],p=Object.values(s)[0].dims.at(-2);t=Xr([oo([e.dims[0],p]),t.slice(null,[t.dims[1]-h,t.dims[1]])],1)}}return await Wd(n,{inputs_embeds:a,past_key_values:s,attention_mask:t,position_ids:i,generation_config:o,logits_processor:l},!0)}function tT(n,e=null){const{input_ids:t,inputs_embeds:r,attention_mask:i}=n,[a,s]=i.dims,o=new BigInt64Array(i.data.length);for(let u=0;u<a;++u){const c=u*s;let h=BigInt(0);for(let p=0;p<s;++p){const d=c+p;i.data[d]===0n?o[d]=BigInt(1):(o[d]=h,h+=i.data[d])}}let l=new je("int64",o,i.dims);if(e){const u=-(t??r).dims.at(1);l=l.slice(null,[u,null])}return l}function sg(n,e,t,r){if(t.past_key_values){const i=Object.values(t.past_key_values)[0].dims.at(-2),{input_ids:a,attention_mask:s}=t;if(!(s&&s.dims[1]>a.dims[1])){if(i<a.dims[1])t.input_ids=a.slice(null,[i,null]);else if(n.config.image_token_index!=null&&a.data.some(o=>o==n.config.image_token_index)){const o=n.config.num_image_tokens;if(!o)throw new Error("`num_image_tokens` is missing in the model configuration.");const l=a.dims[1]-(i-o);t.input_ids=a.slice(null,[-l,null]),t.attention_mask=oo([1,i+l])}}}return t}function nT(n,e,t,r){const{...i}=t;return t.past_key_values&&(e=e.map(s=>[s.at(-1)])),i.decoder_input_ids=Nw(e),i}class $e extends Nn{main_input_name="input_ids";forward_params=["input_ids","attention_mask"];constructor(e,t){super(),this.config=e,this.sessions=t;const r=Ws.get(this.constructor),i=Vl.get(r);this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,i===_t.DecoderOnly?(this.can_generate=!0,this._forward=Wd,this._prepare_inputs_for_generation=sg):i===_t.Seq2Seq||i===_t.Vision2Seq||i===_t.Musicgen?(this.can_generate=!0,this._forward=ag,this._prepare_inputs_for_generation=nT):i===_t.EncoderDecoder?this._forward=ag:i===_t.ImageTextToText?(this.can_generate=!0,this._forward=eT,this._prepare_inputs_for_generation=sg):this._forward=Js,this.can_generate&&this.forward_params.push("past_key_values"),this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){const e=[];for(const t of Object.values(this.sessions))t?.handler?.dispose&&e.push(t.handler.dispose());return await Promise.all(e)}static async from_pretrained(e,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main",model_file_name:o=null,subfolder:l="onnx",device:u=null,dtype:c=null,use_external_data_format:h=null,session_options:p={}}={}){let d={progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s,model_file_name:o,subfolder:l,device:u,dtype:c,use_external_data_format:h,session_options:p};const m=Ws.get(this),y=Vl.get(m);d.config=await Ow.from_pretrained(e,d);let g;return y===_t.DecoderOnly?g=await Promise.all([ji(e,{model:d.model_file_name??"model"},d),Ii(e,"generation_config.json",!1,d)]):y===_t.Seq2Seq||y===_t.Vision2Seq?g=await Promise.all([ji(e,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},d),Ii(e,"generation_config.json",!1,d)]):y===_t.MaskGeneration?g=await Promise.all([ji(e,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},d)]):y===_t.EncoderDecoder?g=await Promise.all([ji(e,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},d)]):y===_t.ImageTextToText?g=await Promise.all([ji(e,{embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"},d),Ii(e,"generation_config.json",!1,d)]):y===_t.Musicgen?g=await Promise.all([ji(e,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},d),Ii(e,"generation_config.json",!1,d)]):(y!==_t.EncoderOnly&&console.warn(`Model type for '${m??r?.model_type}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`),g=await Promise.all([ji(e,{model:d.model_file_name??"model"},d)])),new this(d.config,...g)}async _call(e){return await this.forward(e)}async forward(e){return await this._forward(this,e)}_get_logits_warper(e){const t=new ed;return e.temperature!==null&&e.temperature!==1&&t.push(new WM(e.temperature)),e.top_k!==null&&e.top_k!==0&&t.push(new HM(e.top_k)),e.top_p!==null&&e.top_p<1&&t.push(new VM(e.top_p)),t}_get_logits_processor(e,t,r=null){const i=new ed;if(e.repetition_penalty!==null&&e.repetition_penalty!==1&&i.push(new NM(e.repetition_penalty)),e.no_repeat_ngram_size!==null&&e.no_repeat_ngram_size>0&&i.push(new zM(e.no_repeat_ngram_size)),e.bad_words_ids!==null&&i.push(new FM(e.bad_words_ids,e.eos_token_id)),e.min_length!==null&&e.eos_token_id!==null&&e.min_length>0&&i.push(new UM(e.min_length,e.eos_token_id)),e.min_new_tokens!==null&&e.eos_token_id!==null&&e.min_new_tokens>0&&i.push(new BM(t,e.min_new_tokens,e.eos_token_id)),e.forced_bos_token_id!==null&&i.push(new kM(e.forced_bos_token_id)),e.forced_eos_token_id!==null&&i.push(new OM(e.max_length,e.forced_eos_token_id)),e.begin_suppress_tokens!==null){const a=t>1||e.forced_bos_token_id===null?t:t+1;i.push(new DM(e.begin_suppress_tokens,a))}return e.guidance_scale!==null&&e.guidance_scale>1&&i.push(new GM(e.guidance_scale)),r!==null&&i.extend(r),i}_prepare_generation_config(e,t,r=Dw){const i={...this.config};for(const s of["decoder","generator","text_config"])s in i&&Object.assign(i,i[s]);const a=new r(i);return"generation_config"in this&&Object.assign(a,this.generation_config),e&&Object.assign(a,e),t&&Object.assign(a,oa(t,Object.getOwnPropertyNames(a))),a}_get_stopping_criteria(e,t=null){const r=new Gd;return e.max_length!==null&&r.push(new qM(e.max_length,this.config.max_position_embeddings??null)),e.eos_token_id!==null&&r.push(new jM(e.eos_token_id)),t&&r.extend(t),r}_validate_model_class(){if(!this.can_generate){const e=[Zd,Qd,Kd,Yd],t=Ws.get(this.constructor),r=new Set,i=this.config.model_type;for(const s of e){const o=s.get(i);o&&r.add(o[0])}let a=`The current model class (${t}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw r.size>0&&(a+=` Please use the following class instead: ${[...r].join(", ")}`),Error(a)}}prepare_inputs_for_generation(...e){return this._prepare_inputs_for_generation(this,...e)}_update_model_kwargs_for_generation({generated_input_ids:e,outputs:t,model_inputs:r,is_encoder_decoder:i}){return r.past_key_values=this.getPastKeyValues(t,r.past_key_values),r.input_ids=new je("int64",e.flat(),[e.length,1]),i||(r.attention_mask=Xr([r.attention_mask,oo([r.attention_mask.dims[0],1])],1)),r.position_ids=null,r}_prepare_model_inputs({inputs:e,bos_token_id:t,model_kwargs:r}){const i=oa(r,this.forward_params),a=this.main_input_name;if(a in i){if(e)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else i[a]=e;return{inputs_tensor:i[a],model_inputs:i,model_input_name:a}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:e,model_inputs:t,model_input_name:r,generation_config:i}){const a=oa(t,this.sessions.model.inputNames);let{last_hidden_state:s}=await Js(this,a);return i.guidance_scale!==null&&i.guidance_scale>1&&(s=Xr([s,vS(s,0)],0),"attention_mask"in t&&(t.attention_mask=Xr([t.attention_mask,xS(t.attention_mask)],0))),t.encoder_outputs=s,t}_prepare_decoder_input_ids_for_generation({batch_size:e,model_input_name:t,model_kwargs:r,decoder_start_token_id:i,bos_token_id:a,generation_config:s}){let{decoder_input_ids:o,...l}=r;if(!o)if(i??=a,this.config.model_type==="musicgen")o=Array.from({length:e*this.config.decoder.num_codebooks},()=>[i]);else if(Array.isArray(i)){if(i.length!==e)throw new Error(`\`decoder_start_token_id\` expcted to have length ${e} but got ${i.length}`);o=i}else o=Array.from({length:e},()=>[i]);return o=Nw(o),r.decoder_attention_mask=wS(o),{input_ids:o,model_inputs:l}}async generate({inputs:e=null,generation_config:t=null,logits_processor:r=null,stopping_criteria:i=null,streamer:a=null,...s}){this._validate_model_class(),t=this._prepare_generation_config(t,s);let{inputs_tensor:o,model_inputs:l,model_input_name:u}=this._prepare_model_inputs({inputs:e,model_kwargs:s});const c=this.config.is_encoder_decoder;c&&("encoder_outputs"in l||(l=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:o,model_inputs:l,model_input_name:u,generation_config:t})));let h;c?{input_ids:h,model_inputs:l}=this._prepare_decoder_input_ids_for_generation({batch_size:l[u].dims.at(0),model_input_name:u,model_kwargs:l,decoder_start_token_id:t.decoder_start_token_id,bos_token_id:t.bos_token_id,generation_config:t}):h=l[u];let p=h.dims.at(-1);t.max_new_tokens!==null&&(t.max_length=p+t.max_new_tokens);const d=this._get_logits_processor(t,p,r),m=this._get_stopping_criteria(t,i),y=l[u].dims.at(0),g=nu.getSampler(t),_=new Array(y).fill(0),w=h.tolist();a&&a.put(w);let b=null;for(;;){l=this.prepare_inputs_for_generation(w,l,t);const T=await this.forward(l),I=T.logits.slice(null,-1,null),C=d(w,I),B=[];for(let k=0;k<C.dims.at(0);++k){const j=C[k],Q=await g(j);for(const[ie,F]of Q){const $=BigInt(ie);_[k]+=F,w[k].push($),B.push([$]);break}}if(a&&a.put(B),m(w).every(k=>k)){t.return_dict_in_generate&&(b=this.getPastKeyValues(T,l.past_key_values,!1));break}l=this._update_model_kwargs_for_generation({generated_input_ids:B,outputs:T,model_inputs:l,is_encoder_decoder:c})}a&&a.end();const E=new je("int64",w.flat(),[w.length,w[0].length]);return t.return_dict_in_generate?{sequences:E,past_key_values:b}:E}addAttentionsToBeam(e,t){if(this.config.is_encoder_decoder){if(!t.cross_attentions||t.cross_attentions.length===0)throw Error("`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.");e.cross_attentions||(e.cross_attentions=[]),e.cross_attentions.push(t.cross_attentions)}if(!t.decoder_attentions||t.decoder_attentions.length===0)throw Error("`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.");e.decoder_attentions||(e.decoder_attentions=[]),e.decoder_attentions.push(t.decoder_attentions)}groupBeams(e){const t=Object.create(null);for(const r of e)t[r.id]===void 0?t[r.id]=[r]:t[r.id].push(r);return Object.values(t)}getPastKeyValues(e,t,r=!0){const i=Object.create(null);for(const a in e)if(a.startsWith("present")){let s=a.replace("present","past_key_values");if(t&&a.includes("encoder"))i[s]=t[s];else{if(r&&t){const o=t[s];o.location==="gpu-buffer"&&o.dispose()}i[s]=e[a]}}return i}getAttentions(e){const t=Object.create(null);for(const r of["cross_attentions","decoder_attentions"]){const i=[];for(const a in e)if(a.startsWith(r)){const s=a.split(".").pop();i[s]=e[a]}t[r]=i}return t}addPastKeyValues(e,t){if(t)Object.assign(e,t);else{const r=this.custom_config.kv_cache_dtype??"float32",i=r==="float16"?new Uint16Array:[],a=kw(this.config);for(const s in a)e[s]=new je(r,i,a[s])}}}class br{}class co extends $e{}class rT extends co{}class iT extends co{async _call(e){return new Bn(await super._call(e))}}class aT extends co{async _call(e){return new Nt(await super._call(e))}}class sT extends co{async _call(e){return new Un(await super._call(e))}}class oT extends co{async _call(e){return new Yn(await super._call(e))}}class lT extends $e{}class uT extends lT{}class ho extends $e{}class cT extends ho{}class dT extends ho{async _call(e){return new Bn(await super._call(e))}}class hT extends ho{async _call(e){return new Nt(await super._call(e))}}class pT extends ho{async _call(e){return new Un(await super._call(e))}}class fT extends ho{async _call(e){return new Yn(await super._call(e))}}class po extends $e{}class mT extends po{}class gT extends po{async _call(e){return new Bn(await super._call(e))}}class _T extends po{async _call(e){return new Nt(await super._call(e))}}class yT extends po{async _call(e){return new Un(await super._call(e))}}class vT extends po{async _call(e){return new Yn(await super._call(e))}}class fo extends $e{}class wT extends fo{}class bT extends fo{async _call(e){return new Bn(await super._call(e))}}class xT extends fo{async _call(e){return new Nt(await super._call(e))}}class ST extends fo{async _call(e){return new Un(await super._call(e))}}class ET extends fo{async _call(e){return new Yn(await super._call(e))}}class mo extends $e{}class MT extends mo{}class TT extends mo{async _call(e){return new Bn(await super._call(e))}}class AT extends mo{async _call(e){return new Nt(await super._call(e))}}class CT extends mo{async _call(e){return new Un(await super._call(e))}}class $T extends mo{async _call(e){return new Yn(await super._call(e))}}class go extends $e{}class RT extends go{}class IT extends go{async _call(e){return new Bn(await super._call(e))}}class PT extends go{async _call(e){return new Nt(await super._call(e))}}class kT extends go{async _call(e){return new Un(await super._call(e))}}class OT extends go{async _call(e){return new Yn(await super._call(e))}}class _o extends $e{}class DT extends _o{}class LT extends _o{async _call(e){return new Bn(await super._call(e))}}class zT extends _o{async _call(e){return new Nt(await super._call(e))}}class NT extends _o{async _call(e){return new Un(await super._call(e))}}class UT extends _o{async _call(e){return new Yn(await super._call(e))}}class yo extends $e{}class BT extends yo{}class FT extends yo{async _call(e){return new Nt(await super._call(e))}}class GT extends yo{async _call(e){return new Un(await super._call(e))}}class WT extends yo{async _call(e){return new Yn(await super._call(e))}}class VT extends yo{async _call(e){return new Bn(await super._call(e))}}class ru extends $e{}class HT extends ru{}class qT extends ru{async _call(e){return new Bn(await super._call(e))}}class jT extends ru{async _call(e){return new Nt(await super._call(e))}}class XT extends ru{async _call(e){return new Un(await super._call(e))}}class iu extends $e{}class YT extends iu{}class KT extends iu{async _call(e){return new Bn(await super._call(e))}}class ZT extends iu{async _call(e){return new Nt(await super._call(e))}}class QT extends iu{async _call(e){return new Yn(await super._call(e))}}class vo extends $e{}class JT extends vo{}class eA extends vo{async _call(e){return new Bn(await super._call(e))}}class tA extends vo{async _call(e){return new Nt(await super._call(e))}}class nA extends vo{async _call(e){return new Un(await super._call(e))}}class rA extends vo{async _call(e){return new Yn(await super._call(e))}}class au extends $e{}class iA extends au{}class aA extends au{async _call(e){return new Bn(await super._call(e))}}class sA extends au{async _call(e){return new Nt(await super._call(e))}}class oA extends au{async _call(e){return new Yn(await super._call(e))}}class su extends $e{}class lA extends su{}class uA extends su{async _call(e){return new Nt(await super._call(e))}}class cA extends su{async _call(e){return new Yn(await super._call(e))}}class dA extends su{async _call(e){return new Bn(await super._call(e))}}class Bw extends $e{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"];constructor(e,t,r){super(e,t),this.generation_config=r}}class hA extends Bw{}class pA extends Bw{}class Fw extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class fA extends Fw{}class mA extends Fw{}class Gw extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class gA extends Gw{}class _A extends Gw{}class Vd extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class yA extends Vd{}class vA extends Vd{}class wA extends Vd{async _call(e){return new Nt(await super._call(e))}}class ou extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class bA extends ou{}class xA extends ou{}class SA extends ou{async _call(e){return new Nt(await super._call(e))}}class EA extends ou{}class Ww extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class MA extends Ww{}class TA extends Ww{}class Vw extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class AA extends Vw{}class CA extends Vw{}class wo extends $e{}class $A extends wo{}class RA extends wo{async _call(e){return new Bn(await super._call(e))}}class IA extends wo{async _call(e){return new Nt(await super._call(e))}}class PA extends wo{async _call(e){return new Un(await super._call(e))}}class kA extends wo{async _call(e){return new Yn(await super._call(e))}}class bo extends $e{}class OA extends bo{}class DA extends bo{async _call(e){return new Bn(await super._call(e))}}class LA extends bo{async _call(e){return new Nt(await super._call(e))}}class zA extends bo{async _call(e){return new Un(await super._call(e))}}class NA extends bo{async _call(e){return new Yn(await super._call(e))}}class xo extends $e{}class UA extends xo{}class BA extends xo{async _call(e){return new Bn(await super._call(e))}}class FA extends xo{async _call(e){return new Nt(await super._call(e))}}class GA extends xo{async _call(e){return new Un(await super._call(e))}}class WA extends xo{async _call(e){return new Yn(await super._call(e))}}class Hw extends $e{}class VA extends Hw{}class HA extends Hw{}class qw extends $e{requires_attention_mask=!1;main_input_name="input_features";forward_params=["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"];constructor(e,t,r){super(e,t),this.generation_config=r}}class qA extends qw{}class jA extends qw{_prepare_generation_config(e,t){return super._prepare_generation_config(e,t,ZM)}_retrieve_init_tokens(e){const t=[e.decoder_start_token_id];let r=e.language;const i=e.task;if(e.is_multilingual){r||(console.warn("No language specified - defaulting to English (en)."),r="en");const s=`<|${ww(r)}|>`;t.push(e.lang_to_id[s]),t.push(e.task_to_id[i??"transcribe"])}else if(r||i)throw new Error("Cannot specify `task` or `language` for an English-only model. If the model is intended to be multilingual, pass `is_multilingual=true` to generate, or update the generation config.");return!e.return_timestamps&&e.no_timestamps_token_id&&t.at(-1)!==e.no_timestamps_token_id?t.push(e.no_timestamps_token_id):e.return_timestamps&&t.at(-1)===e.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),t.pop()),t.filter(a=>a!=null)}async generate({inputs:e=null,generation_config:t=null,logits_processor:r=null,stopping_criteria:i=null,...a}){t=this._prepare_generation_config(t,a);const s=this._retrieve_init_tokens(t);return t.return_timestamps&&(r??=new ed,r.push(new LM(t,s))),await super.generate({inputs:e,generation_config:t,logits_processor:r,decoder_input_ids:s,...a})}_extract_token_timestamps(e,t,r=null,i=.02){if(!e.cross_attentions)throw new Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");let a=this.config.median_filter_width;a===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),a=7);const s=e.cross_attentions.map(u=>{let c=Array.from({length:this.config.decoder_layers},(g,_)=>Xr(u.map(w=>w[_]),2)),h=Zs(t.map(([g,_])=>r?c[g].slice(null,_,null,[0,r]):c[g].slice(null,_)));h=h.transpose(1,0,2,3);let[p,d]=mS(h,-2,0,!0),m=h.clone();for(let g=0;g<m.dims[0];++g){let _=m[g];for(let w=0;w<_.dims[0];++w){let b=_[w];const E=p[g][w][0],T=d[g][w][0];for(let I=0;I<b.dims[0];++I){let C=b[I];for(let B=0;B<C.data.length;++B)C.data[B]=(C.data[B]-T.data[B])/E.data[B];C.data.set($1(C.data,a))}}}return Dd(m,1)}),o=[e.sequences.length,e.sequences[0].length],l=new je("float32",new Float32Array(o[0]*o[1]),o);for(let u=0;u<o[0];++u){const c=s[u].neg().squeeze_(0);let[h,p]=gS(c),d=Array.from({length:h.length-1},(g,_)=>h[_+1]-h[_]),m=Cn([1],d).map(g=>!!g),y=[];for(let g=0;g<m.length;++g)m[g]&&y.push(p[g]*i);l[u].data.set(y,1)}return l}}class jw extends $e{main_input_name="pixel_values";forward_params=["pixel_values","input_ids","encoder_hidden_states","past_key_values"];constructor(e,t,r){super(e,t),this.generation_config=r}}class XA extends $e{forward_params=["input_ids","pixel_values","attention_mask","position_ids","past_key_values"];constructor(e,t,r){super(e,t),this.generation_config=r}}class Xw extends XA{async encode_image({pixel_values:e}){const t=(await Ni(this.sessions.vision_encoder,{pixel_values:e})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${t.dims[1]}).`),this.config.num_image_tokens=t.dims[1]),t}async encode_text({input_ids:e}){return(await Ni(this.sessions.embed_tokens,{input_ids:e})).inputs_embeds}_merge_input_ids_with_image_features({inputs_embeds:e,image_features:t,input_ids:r,attention_mask:i}){const a=this.config.image_token_index,o=r.tolist().map(p=>p.findIndex(d=>d==a)),l=o.every(p=>p===-1),u=o.every(p=>p!==-1);if(!l&&!u)throw new Error("Every input should contain either 0 or 1 image token.");if(l)return{inputs_embeds:e,attention_mask:i};const c=[],h=[];for(let p=0;p<o.length;++p){const d=o[p],m=e[p],y=t[p],g=i[p];c.push(Xr([m.slice([0,d]),y,m.slice([d+1,m.dims[0]])],0)),h.push(Xr([g.slice([0,d]),oo([y.dims[0]]),g.slice([d+1,g.dims[0]])],0))}return{inputs_embeds:Zs(c,0),attention_mask:Zs(h,0)}}}class YA extends Xw{}class lu extends $e{}class KA extends lu{}class ZA extends lu{static async from_pretrained(e,t={}){return t.model_file_name??="text_model",super.from_pretrained(e,t)}}class QA extends lu{static async from_pretrained(e,t={}){return t.model_file_name??="vision_model",super.from_pretrained(e,t)}}class Yw extends $e{}class JA extends Yw{}class eC extends Yw{static async from_pretrained(e,t={}){return t.model_file_name??="text_model",super.from_pretrained(e,t)}}class tC extends lu{static async from_pretrained(e,t={}){return t.model_file_name??="vision_model",super.from_pretrained(e,t)}}class nC extends $e{}class rC extends nC{}class Kw extends $e{}class iC extends Kw{}class aC extends Kw{}class Zw extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class sC extends Zw{}class oC extends Zw{}class Qw extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class lC extends Qw{}class uC extends Qw{}class Jw extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class cC extends Jw{}class dC extends Jw{}class eb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class hC extends eb{}class pC extends eb{}class tb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class fC extends tb{}class mC extends tb{}class nb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class gC extends nb{}class _C extends nb{}class rb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class yC extends rb{}class vC extends rb{}class ib extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class wC extends ib{}class bC extends ib{}class ab extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class xC extends ab{}class SC extends ab{}class sb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class EC extends sb{}class MC extends sb{}class ob extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class TC extends ob{}class AC extends ob{}class lb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class CC extends lb{}class $C extends lb{}class ub extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class RC extends ub{}class IC extends ub{}class cb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class PC extends cb{}class kC extends cb{}class db extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class OC extends db{}class DC extends db{}class hb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class LC extends hb{}class zC extends hb{}class pb extends $e{}class NC extends pb{}class UC extends pb{async _call(e){return new Nt(await super._call(e))}}class fb extends $e{}class BC extends fb{}class FC extends fb{async _call(e){return new Nt(await super._call(e))}}class GC extends $e{}class WC extends GC{async _call(e){return new iR(await super._call(e))}}class mb extends $e{}class VC extends mb{}class HC extends mb{async _call(e){return new Nt(await super._call(e))}}class gb extends $e{}class qC extends gb{}class jC extends gb{async _call(e){return new Nt(await super._call(e))}}class _b extends $e{}class XC extends _b{}class YC extends _b{}class yb extends $e{}class KC extends yb{}class ZC extends yb{}class vb extends $e{}class QC extends vb{}class JC extends vb{async _call(e){return new Nt(await super._call(e))}}class Hd extends $e{}class e$ extends Hd{}class t$ extends Hd{async _call(e){return new wb(await super._call(e))}}class n$ extends Hd{async _call(e){return new r$(await super._call(e))}}class wb extends br{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}}class r$ extends br{constructor({logits:e,pred_boxes:t,pred_masks:r}){super(),this.logits=e,this.pred_boxes=t,this.pred_masks=r}}class bb extends $e{}class i$ extends bb{}class a$ extends bb{async _call(e){return new s$(await super._call(e))}}class s$ extends wb{}class xb extends $e{}class o$ extends xb{}class l$ extends xb{async _call(e){return new Nt(await super._call(e))}}class Sb extends $e{}class u$ extends Sb{}class c$ extends Sb{async _call(e){return new Nt(await super._call(e))}}class Eb extends $e{}class d$ extends Eb{}class h$ extends Eb{async _call(e){return new Nt(await super._call(e))}}class Mb extends $e{}class p$ extends Mb{}class f$ extends Mb{}class Tb extends $e{}class m$ extends Tb{}class g$ extends Tb{}class _$ extends $e{}class y$ extends _${}class Ab extends $e{}class v$ extends Ab{}class w$ extends Ab{}class b$ extends $e{}class x$ extends b${}class Cb extends $e{}class S$ extends Cb{}class E$ extends Cb{async _call(e){return new Nt(await super._call(e))}}class $b extends $e{}class M$ extends $b{}class T$ extends $b{async _call(e){return new Nt(await super._call(e))}}class Rb extends $e{}class A$ extends Rb{}class C$ extends Rb{async _call(e){return new Nt(await super._call(e))}}class Ib extends $e{}class $$ extends Ib{}class R$ extends Ib{async _call(e){return new I$(await super._call(e))}}class I$ extends br{constructor({logits:e,pred_boxes:t}){super(),this.logits=e,this.pred_boxes=t}}class P$ extends $e{}class k$ extends P${async get_image_embeddings({pixel_values:e}){return await Js(this,{pixel_values:e})}async forward(e){if((!e.image_embeddings||!e.image_positional_embeddings)&&(e={...e,...await this.get_image_embeddings(e)}),!e.input_labels&&e.input_points){const r=e.input_points.dims.slice(0,-1),i=r.reduce((a,s)=>a*s,1);e.input_labels=new je("int64",new BigInt64Array(i).fill(1n),r)}const t={image_embeddings:e.image_embeddings,image_positional_embeddings:e.image_positional_embeddings};return e.input_points&&(t.input_points=e.input_points),e.input_labels&&(t.input_labels=e.input_labels),e.input_boxes&&(t.input_boxes=e.input_boxes),await Ni(this.sessions.prompt_encoder_mask_decoder,t)}async _call(e){return new O$(await super._call(e))}}class O$ extends br{constructor({iou_scores:e,pred_masks:t}){super(),this.iou_scores=e,this.pred_masks=t}}class Pb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class D$ extends Pb{}class L$ extends Pb{}class kb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class z$ extends kb{}class N$ extends kb{}class xa extends $e{}class U$ extends xa{}class B$ extends xa{async _call(e){return new ys(await super._call(e))}}class F$ extends xa{async _call(e){return new Nt(await super._call(e))}}class G$ extends xa{async _call(e){return new Un(await super._call(e))}}class qd extends $e{}class W$ extends qd{}class V$ extends qd{async _call(e){return new ys(await super._call(e))}}class H$ extends qd{async _call(e){return new Nt(await super._call(e))}}class uu extends $e{}class q$ extends uu{}class j$ extends uu{async _call(e){return new ys(await super._call(e))}}class X$ extends uu{async _call(e){return new Nt(await super._call(e))}}class Y$ extends uu{async _call(e){return new Un(await super._call(e))}}class jd extends $e{}class K$ extends jd{}class Z$ extends jd{async _call(e){return new ys(await super._call(e))}}class Q$ extends jd{async _call(e){return new Nt(await super._call(e))}}class J$ extends xa{}class e3 extends xa{async _call(e){return new ys(await super._call(e))}}class t3 extends xa{async _call(e){return new Nt(await super._call(e))}}class So extends $e{}class n3 extends So{}class r3 extends So{async _call(e){return new ys(await super._call(e))}}class i3 extends So{async _call(e){return new Nt(await super._call(e))}}class a3 extends So{async _call(e){return new rR(await super._call(e))}}class s3 extends So{async _call(e){return new Un(await super._call(e))}}class Ob extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class o3 extends Ob{}class l3 extends Ob{async generate_speech(e,t,{threshold:r=.5,minlenratio:i=0,maxlenratio:a=20,vocoder:s=null}={}){const o={input_ids:e},{encoder_outputs:l,encoder_attention_mask:u}=await Js(this,o),c=l.dims[1]/this.config.reduction_factor,h=Math.floor(c*a),p=Math.floor(c*i),d=this.config.num_mel_bins;let m=[],y=null,g=null,_=0;for(;;){++_;const E=Uw(!!g);let T;g?T=g.output_sequence_out:T=new je("float32",new Float32Array(d),[1,1,d]);let I={use_cache_branch:E,output_sequence:T,encoder_attention_mask:u,speaker_embeddings:t,encoder_hidden_states:l};this.addPastKeyValues(I,y),g=await Ni(this.sessions.decoder_model_merged,I),y=this.getPastKeyValues(g,y);const{prob:C,spectrum:B}=g;if(m.push(B),_>=p&&(Array.from(C.data).filter(R=>R>=r).length>0||_>=h))break}const w=Xr(m),{waveform:b}=await Ni(s.sessions.model,{spectrogram:w});return{spectrogram:w,waveform:b}}}class u3 extends $e{main_input_name="spectrogram"}class c3 extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class d3 extends c3{}class Db extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class h3 extends Db{}class p3 extends Db{}class Lb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class f3 extends Lb{}class m3 extends Lb{}class zb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class g3 extends zb{}class _3 extends zb{}class Xd extends $e{}class y3 extends Xd{}class v3 extends Xd{static async from_pretrained(e,t={}){return t.model_file_name??="text_model",super.from_pretrained(e,t)}}class w3 extends Xd{static async from_pretrained(e,t={}){return t.model_file_name??="audio_model",super.from_pretrained(e,t)}}class b3 extends $e{}class Nb extends b3{async _call(e){return new aR(await super._call(e))}}class Ub extends $e{}class x3 extends Ub{}class S3 extends Ub{}class Bb extends $e{constructor(e,t,r){super(e,t),this.generation_config=r}}class E3 extends Bb{}class M3 extends Bb{}class Fb extends $e{}class T3 extends Fb{}class A3 extends Fb{async _call(e){return new Nt(await super._call(e))}}class Gb extends $e{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"];constructor(e,t,r){super(e,t),this.generation_config=r}_apply_and_filter_by_delay_pattern_mask(e){const[t,r]=e.dims,i=this.config.decoder.num_codebooks,a=r-i;let s=0;for(let u=0;u<e.size;++u){if(e.data[u]===this.config.decoder.pad_token_id)continue;const c=u%r,h=Math.floor(u/r)%i,p=c-h;p>0&&p<=a&&(e.data[s++]=e.data[u])}const o=Math.floor(t/i),l=s/(o*i);return new je(e.type,e.data.slice(0,s),[o,i,l])}prepare_inputs_for_generation(e,t,r){let i=structuredClone(e);for(let s=0;s<i.length;++s)for(let o=0;o<i[s].length;++o)s%this.config.decoder.num_codebooks>=o&&(i[s][o]=BigInt(this.config.decoder.pad_token_id));return r.guidance_scale!==null&&r.guidance_scale>1&&(i=i.concat(i)),super.prepare_inputs_for_generation(i,t,r)}async generate(e){const t=await super.generate(e),r=this._apply_and_filter_by_delay_pattern_mask(t).unsqueeze_(0),{audio_values:i}=await Ni(this.sessions.encodec_decode,{audio_codes:r});return i}}class cn{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static async from_pretrained(e,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main",model_file_name:o=null,subfolder:l="onnx",device:u=null,dtype:c=null,use_external_data_format:h=null,session_options:p={}}={}){let d={progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s,model_file_name:o,subfolder:l,device:u,dtype:c,use_external_data_format:h,session_options:p};if(d.config=await Ow.from_pretrained(e,d),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);for(let m of this.MODEL_CLASS_MAPPINGS){const y=m.get(d.config.model_type);if(y)return await y[1].from_pretrained(e,d)}if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${d.config.model_type}", attempting to construct from base class.`),await $e.from_pretrained(e,d);throw Error(`Unsupported model type: ${d.config.model_type}`)}}const C3=new Map([["bert",["BertModel",rT]],["nomic_bert",["NomicBertModel",uT]],["roformer",["RoFormerModel",cT]],["electra",["ElectraModel",wT]],["esm",["EsmModel",HT]],["convbert",["ConvBertModel",mT]],["camembert",["CamembertModel",MT]],["deberta",["DebertaModel",RT]],["deberta-v2",["DebertaV2Model",DT]],["mpnet",["MPNetModel",JT]],["albert",["AlbertModel",lA]],["distilbert",["DistilBertModel",BT]],["roberta",["RobertaModel",$A]],["xlm",["XLMModel",OA]],["xlm-roberta",["XLMRobertaModel",UA]],["clap",["ClapModel",y3]],["clip",["CLIPModel",KA]],["clipseg",["CLIPSegModel",iC]],["chinese_clip",["ChineseCLIPModel",rC]],["siglip",["SiglipModel",JA]],["mobilebert",["MobileBertModel",YT]],["squeezebert",["SqueezeBertModel",iA]],["wav2vec2",["Wav2Vec2Model",U$]],["wav2vec2-bert",["Wav2Vec2BertModel",K$]],["unispeech",["UniSpeechModel",W$]],["unispeech-sat",["UniSpeechSatModel",q$]],["hubert",["HubertModel",J$]],["wavlm",["WavLMModel",n3]],["audio-spectrogram-transformer",["ASTModel",VA]],["vits",["VitsModel",Nb]],["detr",["DetrModel",e$]],["table-transformer",["TableTransformerModel",i$]],["vit",["ViTModel",NC]],["fastvit",["FastViTModel",BC]],["mobilevit",["MobileViTModel",VC]],["mobilevitv2",["MobileViTV2Model",qC]],["owlvit",["OwlViTModel",XC]],["owlv2",["Owlv2Model",KC]],["beit",["BeitModel",QC]],["deit",["DeiTModel",o$]],["convnext",["ConvNextModel",S$]],["convnextv2",["ConvNextV2Model",M$]],["dinov2",["Dinov2Model",A$]],["resnet",["ResNetModel",u$]],["swin",["SwinModel",d$]],["swin2sr",["Swin2SRModel",p$]],["donut-swin",["DonutSwinModel",x$]],["yolos",["YolosModel",$$]],["dpt",["DPTModel",m$]],["glpn",["GLPNModel",v$]],["hifigan",["SpeechT5HifiGan",u3]],["efficientnet",["EfficientNetModel",T3]]]),$3=new Map([["t5",["T5Model",hA]],["longt5",["LongT5Model",fA]],["mt5",["MT5Model",gA]],["bart",["BartModel",yA]],["mbart",["MBartModel",bA]],["marian",["MarianModel",D$]],["whisper",["WhisperModel",qA]],["m2m_100",["M2M100Model",z$]],["blenderbot",["BlenderbotModel",MA]],["blenderbot-small",["BlenderbotSmallModel",AA]]]),R3=new Map([["bloom",["BloomModel",PC]],["gpt2",["GPT2Model",sC]],["gptj",["GPTJModel",hC]],["gpt_bigcode",["GPTBigCodeModel",fC]],["gpt_neo",["GPTNeoModel",lC]],["gpt_neox",["GPTNeoXModel",cC]],["codegen",["CodeGenModel",gC]],["llama",["LlamaModel",yC]],["cohere",["CohereModel",wC]],["gemma",["GemmaModel",xC]],["openelm",["OpenELMModel",EC]],["qwen2",["Qwen2Model",TC]],["phi",["PhiModel",CC]],["phi3",["Phi3Model",RC]],["mpt",["MptModel",OC]],["opt",["OPTModel",LC]],["mistral",["MistralModel",h3]],["starcoder2",["Starcoder2Model",f3]],["falcon",["FalconModel",g3]],["stablelm",["StableLmModel",E3]]]),Yd=new Map([["speecht5",["SpeechT5ForSpeechToText",o3]],["whisper",["WhisperForConditionalGeneration",jA]]]),Wb=new Map([["speecht5",["SpeechT5ForTextToSpeech",l3]]]),Vb=new Map([["vits",["VitsModel",Nb]],["musicgen",["MusicgenForConditionalGeneration",Gb]]]),Hb=new Map([["bert",["BertForSequenceClassification",aT]],["roformer",["RoFormerForSequenceClassification",hT]],["electra",["ElectraForSequenceClassification",xT]],["esm",["EsmForSequenceClassification",jT]],["convbert",["ConvBertForSequenceClassification",_T]],["camembert",["CamembertForSequenceClassification",AT]],["deberta",["DebertaForSequenceClassification",PT]],["deberta-v2",["DebertaV2ForSequenceClassification",zT]],["mpnet",["MPNetForSequenceClassification",tA]],["albert",["AlbertForSequenceClassification",uA]],["distilbert",["DistilBertForSequenceClassification",FT]],["roberta",["RobertaForSequenceClassification",IA]],["xlm",["XLMForSequenceClassification",LA]],["xlm-roberta",["XLMRobertaForSequenceClassification",FA]],["bart",["BartForSequenceClassification",wA]],["mbart",["MBartForSequenceClassification",SA]],["mobilebert",["MobileBertForSequenceClassification",ZT]],["squeezebert",["SqueezeBertForSequenceClassification",sA]]]),qb=new Map([["bert",["BertForTokenClassification",sT]],["roformer",["RoFormerForTokenClassification",pT]],["electra",["ElectraForTokenClassification",ST]],["esm",["EsmForTokenClassification",XT]],["convbert",["ConvBertForTokenClassification",yT]],["camembert",["CamembertForTokenClassification",CT]],["deberta",["DebertaForTokenClassification",kT]],["deberta-v2",["DebertaV2ForTokenClassification",NT]],["mpnet",["MPNetForTokenClassification",nA]],["distilbert",["DistilBertForTokenClassification",GT]],["roberta",["RobertaForTokenClassification",PA]],["xlm",["XLMForTokenClassification",zA]],["xlm-roberta",["XLMRobertaForTokenClassification",GA]]]),Kd=new Map([["t5",["T5ForConditionalGeneration",pA]],["longt5",["LongT5ForConditionalGeneration",mA]],["mt5",["MT5ForConditionalGeneration",_A]],["bart",["BartForConditionalGeneration",vA]],["mbart",["MBartForConditionalGeneration",xA]],["marian",["MarianMTModel",L$]],["m2m_100",["M2M100ForConditionalGeneration",N$]],["blenderbot",["BlenderbotForConditionalGeneration",TA]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",CA]]]),Zd=new Map([["bloom",["BloomForCausalLM",kC]],["gpt2",["GPT2LMHeadModel",oC]],["gptj",["GPTJForCausalLM",pC]],["gpt_bigcode",["GPTBigCodeForCausalLM",mC]],["gpt_neo",["GPTNeoForCausalLM",uC]],["gpt_neox",["GPTNeoXForCausalLM",dC]],["codegen",["CodeGenForCausalLM",_C]],["llama",["LlamaForCausalLM",vC]],["cohere",["CohereForCausalLM",bC]],["gemma",["GemmaForCausalLM",SC]],["openelm",["OpenELMForCausalLM",MC]],["qwen2",["Qwen2ForCausalLM",AC]],["phi",["PhiForCausalLM",$C]],["phi3",["Phi3ForCausalLM",IC]],["mpt",["MptForCausalLM",DC]],["opt",["OPTForCausalLM",zC]],["mbart",["MBartForCausalLM",EA]],["mistral",["MistralForCausalLM",p3]],["starcoder2",["Starcoder2ForCausalLM",m3]],["falcon",["FalconForCausalLM",_3]],["trocr",["TrOCRForCausalLM",d3]],["stablelm",["StableLmForCausalLM",M3]]]),jb=new Map([["bert",["BertForMaskedLM",iT]],["roformer",["RoFormerForMaskedLM",dT]],["electra",["ElectraForMaskedLM",bT]],["esm",["EsmForMaskedLM",qT]],["convbert",["ConvBertForMaskedLM",gT]],["camembert",["CamembertForMaskedLM",TT]],["deberta",["DebertaForMaskedLM",IT]],["deberta-v2",["DebertaV2ForMaskedLM",LT]],["mpnet",["MPNetForMaskedLM",eA]],["albert",["AlbertForMaskedLM",dA]],["distilbert",["DistilBertForMaskedLM",VT]],["roberta",["RobertaForMaskedLM",RA]],["xlm",["XLMWithLMHeadModel",DA]],["xlm-roberta",["XLMRobertaForMaskedLM",BA]],["mobilebert",["MobileBertForMaskedLM",KT]],["squeezebert",["SqueezeBertForMaskedLM",aA]]]),Xb=new Map([["bert",["BertForQuestionAnswering",oT]],["roformer",["RoFormerForQuestionAnswering",fT]],["electra",["ElectraForQuestionAnswering",ET]],["convbert",["ConvBertForQuestionAnswering",vT]],["camembert",["CamembertForQuestionAnswering",$T]],["deberta",["DebertaForQuestionAnswering",OT]],["deberta-v2",["DebertaV2ForQuestionAnswering",UT]],["mpnet",["MPNetForQuestionAnswering",rA]],["albert",["AlbertForQuestionAnswering",cA]],["distilbert",["DistilBertForQuestionAnswering",WT]],["roberta",["RobertaForQuestionAnswering",kA]],["xlm",["XLMForQuestionAnswering",NA]],["xlm-roberta",["XLMRobertaForQuestionAnswering",WA]],["mobilebert",["MobileBertForQuestionAnswering",QT]],["squeezebert",["SqueezeBertForQuestionAnswering",oA]]]),Qd=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",jw]]]),I3=new Map([["llava",["LlavaForConditionalGeneration",Xw]],["moondream1",["Moondream1ForConditionalGeneration",YA]]]),P3=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",jw]]]),Yb=new Map([["vit",["ViTForImageClassification",UC]],["fastvit",["FastViTForImageClassification",FC]],["mobilevit",["MobileViTForImageClassification",HC]],["mobilevitv2",["MobileViTV2ForImageClassification",jC]],["beit",["BeitForImageClassification",JC]],["deit",["DeiTForImageClassification",l$]],["convnext",["ConvNextForImageClassification",E$]],["convnextv2",["ConvNextV2ForImageClassification",T$]],["dinov2",["Dinov2ForImageClassification",C$]],["resnet",["ResNetForImageClassification",c$]],["swin",["SwinForImageClassification",h$]],["segformer",["SegformerForImageClassification",x3]],["efficientnet",["EfficientNetForImageClassification",A3]]]),Kb=new Map([["detr",["DetrForObjectDetection",t$]],["table-transformer",["TableTransformerForObjectDetection",a$]],["yolos",["YolosForObjectDetection",R$]]]),Zb=new Map([["owlvit",["OwlViTForObjectDetection",YC]],["owlv2",["Owlv2ForObjectDetection",ZC]]]),Qb=new Map([["detr",["DetrForSegmentation",n$]],["clipseg",["CLIPSegForImageSegmentation",aC]]]),Jb=new Map([["segformer",["SegformerForSemanticSegmentation",S3]]]),k3=new Map([["sam",["SamModel",k$]]]),ex=new Map([["wav2vec2",["Wav2Vec2ForCTC",B$]],["wav2vec2-bert",["Wav2Vec2BertForCTC",Z$]],["unispeech",["UniSpeechForCTC",V$]],["unispeech-sat",["UniSpeechSatForCTC",j$]],["wavlm",["WavLMForCTC",r3]],["hubert",["HubertForCTC",e3]]]),tx=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",F$]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",Q$]],["unispeech",["UniSpeechForSequenceClassification",H$]],["unispeech-sat",["UniSpeechSatForSequenceClassification",X$]],["wavlm",["WavLMForSequenceClassification",i3]],["hubert",["HubertForSequenceClassification",t3]],["audio-spectrogram-transformer",["ASTForAudioClassification",HA]]]),O3=new Map([["wavlm",["WavLMForXVector",a3]]]),D3=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",Y$]],["wavlm",["WavLMForAudioFrameClassification",s3]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",G$]]]),L3=new Map([["vitmatte",["VitMatteForImageMatting",WC]]]),nx=new Map([["swin2sr",["Swin2SRForImageSuperResolution",f$]]]),rx=new Map([["dpt",["DPTForDepthEstimation",g$]],["depth_anything",["DepthAnythingForDepthEstimation",y$]],["glpn",["GLPNForDepthEstimation",w$]]]),ix=new Map([["clip",["CLIPVisionModelWithProjection",QA]],["siglip",["SiglipVisionModel",tC]]]),ax=[[C3,_t.EncoderOnly],[$3,_t.EncoderDecoder],[R3,_t.DecoderOnly],[Hb,_t.EncoderOnly],[qb,_t.EncoderOnly],[Kd,_t.Seq2Seq],[Yd,_t.Seq2Seq],[Zd,_t.DecoderOnly],[jb,_t.EncoderOnly],[Xb,_t.EncoderOnly],[Qd,_t.Vision2Seq],[I3,_t.ImageTextToText],[Yb,_t.EncoderOnly],[Qb,_t.EncoderOnly],[Jb,_t.EncoderOnly],[L3,_t.EncoderOnly],[nx,_t.EncoderOnly],[rx,_t.EncoderOnly],[Kb,_t.EncoderOnly],[Zb,_t.EncoderOnly],[k3,_t.MaskGeneration],[ex,_t.EncoderOnly],[tx,_t.EncoderOnly],[Wb,_t.Seq2Seq],[Vb,_t.EncoderOnly],[O3,_t.EncoderOnly],[D3,_t.EncoderOnly],[ix,_t.EncoderOnly]];for(const[n,e]of ax)for(const[t,r]of n.values())Vl.set(t,e),Ws.set(r,t),Lw.set(t,r);const z3=[["MusicgenForConditionalGeneration",Gb,_t.Musicgen],["CLIPTextModelWithProjection",ZA,_t.EncoderOnly],["SiglipTextModel",eC,_t.EncoderOnly],["ClapTextModelWithProjection",v3,_t.EncoderOnly],["ClapAudioModelWithProjection",w3,_t.EncoderOnly]];for(const[n,e,t]of z3)Vl.set(n,t),Ws.set(e,n),Lw.set(n,e);class Us extends cn{static MODEL_CLASS_MAPPINGS=ax.map(e=>e[0]);static BASE_IF_FAIL=!0}class og extends cn{static MODEL_CLASS_MAPPINGS=[Hb]}class N3 extends cn{static MODEL_CLASS_MAPPINGS=[qb]}class ac extends cn{static MODEL_CLASS_MAPPINGS=[Kd]}class U3 extends cn{static MODEL_CLASS_MAPPINGS=[Yd]}class B3 extends cn{static MODEL_CLASS_MAPPINGS=[Wb]}class F3 extends cn{static MODEL_CLASS_MAPPINGS=[Vb]}class G3 extends cn{static MODEL_CLASS_MAPPINGS=[Zd]}class W3 extends cn{static MODEL_CLASS_MAPPINGS=[jb]}class V3 extends cn{static MODEL_CLASS_MAPPINGS=[Xb]}class H3 extends cn{static MODEL_CLASS_MAPPINGS=[Qd]}class q3 extends cn{static MODEL_CLASS_MAPPINGS=[Yb]}class j3 extends cn{static MODEL_CLASS_MAPPINGS=[Qb]}class X3 extends cn{static MODEL_CLASS_MAPPINGS=[Jb]}class Y3 extends cn{static MODEL_CLASS_MAPPINGS=[Kb]}class K3 extends cn{static MODEL_CLASS_MAPPINGS=[Zb]}class Z3 extends cn{static MODEL_CLASS_MAPPINGS=[ex]}class Q3 extends cn{static MODEL_CLASS_MAPPINGS=[tx]}class J3 extends cn{static MODEL_CLASS_MAPPINGS=[P3]}class eR extends cn{static MODEL_CLASS_MAPPINGS=[nx]}class tR extends cn{static MODEL_CLASS_MAPPINGS=[rx]}class nR extends cn{static MODEL_CLASS_MAPPINGS=[ix]}class Nt extends br{constructor({logits:e}){super(),this.logits=e}}class rR extends br{constructor({logits:e,embeddings:t}){super(),this.logits=e,this.embeddings=t}}class Un extends br{constructor({logits:e}){super(),this.logits=e}}class Bn extends br{constructor({logits:e}){super(),this.logits=e}}class Yn extends br{constructor({start_logits:e,end_logits:t}){super(),this.start_logits=e,this.end_logits=t}}class ys extends br{constructor({logits:e}){super(),this.logits=e}}class iR extends br{constructor({alphas:e}){super(),this.alphas=e}}class aR extends br{constructor({waveform:e,spectrogram:t}){super(),this.waveform=e,this.spectrogram=t}}const pr=typeof self<"u",sR=pr&&self.constructor.name==="DedicatedWorkerGlobalScope";let Qi,sx,$i;if(pr)Qi=(n,e)=>{if(!self.OffscreenCanvas)throw new Error("OffscreenCanvas not supported by this browser.");return new self.OffscreenCanvas(n,e)},$i=self.createImageBitmap,sx=self.ImageData;else if(un)$i=async n=>{const t=(await n.metadata()).channels,{data:r,info:i}=await n.rotate().raw().toBuffer({resolveWithObject:!0}),a=new An(new Uint8ClampedArray(r),i.width,i.height,i.channels);return t!==void 0&&t!==i.channels&&a.convert(t),a};else throw new Error("Unable to load image processing library.");const oR={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"},lR=new Map([["png","image/png"],["jpg","image/jpeg"],["jpeg","image/jpeg"],["gif","image/gif"]]);class An{constructor(e,t,r,i){this.data=e,this.width=t,this.height=r,this.channels=i}get size(){return[this.width,this.height]}static async read(e){if(e instanceof An)return e;if(typeof e=="string"||e instanceof URL)return await this.fromURL(e);throw new Error(`Unsupported input type: ${typeof e}`)}static fromCanvas(e){if(!pr)throw new Error("fromCanvas() is only supported in browser environments.");const r=e.getContext("2d").getImageData(0,0,e.width,e.height).data;return new An(r,e.width,e.height,4)}static async fromURL(e){const t=await Il(e);if(t.status!==200)throw new Error(`Unable to read image from "${e}" (${t.status} ${t.statusText})`);const r=await t.blob();return this.fromBlob(r)}static async fromBlob(e){if(pr){const t=await $i(e),r=Qi(t.width,t.height).getContext("2d");return r.drawImage(t,0,0),new this(r.getImageData(0,0,t.width,t.height).data,t.width,t.height,4)}else{const t=un(await e.arrayBuffer());return await $i(t)}}static fromTensor(e,t="CHW"){if(e.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${e.dims.length} dimensions.`);if(t==="CHW")e=e.transpose(1,2,0);else if(t!=="HWC")throw new Error(`Unsupported channel format: ${t}`);if(!(e.data instanceof Uint8ClampedArray||e.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${e.type}`);switch(e.dims[2]){case 1:case 2:case 3:case 4:return new An(e.data,e.dims[1],e.dims[0],e.dims[2]);default:throw new Error(`Unsupported number of channels: ${e.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const e=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let t=0,r=0;t<this.data.length;t+=this.channels){const i=this.data[t],a=this.data[t+1],s=this.data[t+2];e[r++]=Math.round(.2989*i+.587*a+.114*s)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,1)}rgb(){if(this.channels===3)return this;const e=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let t=0,r=0;t<this.data.length;++t)e[r++]=this.data[t],e[r++]=this.data[t],e[r++]=this.data[t];break;case 4:for(let t=0,r=0;t<this.data.length;t+=4)e[r++]=this.data[t],e[r++]=this.data[t+1],e[r++]=this.data[t+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const e=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let t=0,r=0;t<this.data.length;++t)e[r++]=this.data[t],e[r++]=this.data[t],e[r++]=this.data[t],e[r++]=255;break;case 3:for(let t=0,r=0;t<this.data.length;t+=3)e[r++]=this.data[t],e[r++]=this.data[t+1],e[r++]=this.data[t+2],e[r++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(e,this.width,this.height,4)}async resize(e,t,{resample:r=2}={}){let i=oR[r]??r;if(pr){const a=this.channels,s=this.toCanvas(),o=Qi(e,t).getContext("2d");return o.drawImage(s,0,0,e,t),new An(o.getImageData(0,0,e,t).data,e,t,4).convert(a)}else{let a=this.toSharp();switch(i){case"box":case"hamming":(i==="box"||i==="hamming")&&(console.warn(`Resampling method ${i} is not yet supported. Using bilinear instead.`),i="bilinear");case"nearest":case"bilinear":case"bicubic":a=a.affine([e/this.width,0,0,t/this.height],{interpolator:i});break;case"lanczos":a=a.resize({width:e,height:t,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${i} is not supported.`)}return await $i(a)}}async pad([e,t,r,i]){if(e=Math.max(e,0),t=Math.max(t,0),r=Math.max(r,0),i=Math.max(i,0),e===0&&t===0&&r===0&&i===0)return this;if(pr){const a=this.channels,s=this.toCanvas(),o=this.width+e+t,l=this.height+r+i,u=Qi(o,l).getContext("2d");return u.drawImage(s,0,0,this.width,this.height,e,r,o,l),new An(u.getImageData(0,0,o,l).data,o,l,4).convert(a)}else{const a=this.toSharp().extend({left:e,right:t,top:r,bottom:i});return await $i(a)}}async crop([e,t,r,i]){if(e=Math.max(e,0),t=Math.max(t,0),r=Math.min(r,this.width-1),i=Math.min(i,this.height-1),e===0&&t===0&&r===this.width-1&&i===this.height-1)return this;const a=r-e+1,s=i-t+1;if(pr){const o=this.channels,l=this.toCanvas(),u=Qi(a,s).getContext("2d");return u.drawImage(l,e,t,a,s,0,0,a,s),new An(u.getImageData(0,0,a,s).data,a,s,4).convert(o)}else{const o=this.toSharp().extract({left:e,top:t,width:a,height:s});return await $i(o)}}async center_crop(e,t){if(this.width===e&&this.height===t)return this;const r=(this.width-e)/2,i=(this.height-t)/2;if(pr){const a=this.channels,s=this.toCanvas(),o=Qi(e,t).getContext("2d");let l=0,u=0,c=0,h=0;return r>=0?l=r:c=-r,i>=0?u=i:h=-i,o.drawImage(s,l,u,e,t,c,h,e,t),new An(o.getImageData(0,0,e,t).data,e,t,4).convert(a)}else{let a=this.toSharp();if(r>=0&&i>=0)a=a.extract({left:Math.floor(r),top:Math.floor(i),width:e,height:t});else if(r<=0&&i<=0){const s=Math.floor(-i),o=Math.floor(-r);a=a.extend({top:s,left:o,right:e-this.width-o,bottom:t-this.height-s})}else{let s=[0,0],o=0;i<0?(s[0]=Math.floor(-i),s[1]=t-this.height-s[0]):o=Math.floor(i);let l=[0,0],u=0;r<0?(l[0]=Math.floor(-r),l[1]=e-this.width-l[0]):u=Math.floor(r),a=a.extend({top:s[0],bottom:s[1],left:l[0],right:l[1]}).extract({left:u,top:o,width:e,height:t})}return await $i(a)}}async toBlob(e="image/png",t=1){if(!pr)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:e,quality:t})}toTensor(e="CHW"){let t=new je("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(e!=="HWC")if(e==="CHW")t=t.permute(2,0,1);else throw new Error(`Unsupported channel format: ${e}`);return t}toCanvas(){if(!pr)throw new Error("toCanvas() is only supported in browser environments.");const e=this.clone().rgba(),t=Qi(e.width,e.height),r=new sx(e.data,e.width,e.height);return t.getContext("2d").putImageData(r,0,0),t}_update(e,t,r,i=null){return this.data=e,this.width=t,this.height=r,i!==null&&(this.channels=i),this}clone(){return new An(this.data.slice(),this.width,this.height,this.channels)}convert(e){if(this.channels===e)return this;switch(e){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(e){if(pr){if(sR)throw new Error("Unable to save an image from a Web Worker.");const t=e.split(".").pop().toLowerCase(),r=lR.get(t)??"image/png",i=await this.toBlob(r),a=URL.createObjectURL(i),s=document.createElement("a");s.href=a,s.download=e,s.click(),s.remove()}else{if(er.useFS)return await this.toSharp().toFile(e);throw new Error("Unable to save the image because filesystem is disabled in this environment.")}}toSharp(){if(pr)throw new Error("toSharp() is only supported in server-side environments.");return un(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}async function uR(n,e){if(typeof AudioContext>"u")throw Error("Unable to load audio from path/URL since `AudioContext` is not available in your environment. Instead, audio data should be passed directly to the pipeline/processor. For more information and some example code, see https://huggingface.co/docs/transformers.js/guides/node-audio-processing.");const t=await(await Il(n)).arrayBuffer(),r=new AudioContext({sampleRate:e});typeof e>"u"&&console.warn(`No sampling rate provided, using default of ${r.sampleRate}Hz.`);const i=await r.decodeAudioData(t);let a;if(i.numberOfChannels===2){const s=Math.sqrt(2),o=i.getChannelData(0),l=i.getChannelData(1);a=new Float32Array(o.length);for(let u=0;u<i.length;++u)a[u]=s*(o[u]+l[u])/2}else a=i.getChannelData(0);return a}function lg(n){if(n<1)return new Float64Array;if(n===1)return new Float64Array([1]);const e=n-1,t=Math.PI/e,r=new Float64Array(n);for(let i=0;i<n;++i){const a=2*i-e;r[i]=.5+.5*Math.cos(t*a)}return r}const cR={htk:n=>2595*Math.log10(1+n/700),kaldi:n=>1127*Math.log(1+n/700),slaney:(n,e=1e3,t=15,r=27/Math.log(6.4))=>n>=e?t+Math.log(n/e)*r:3*n/200};function sc(n,e="htk"){const t=cR[e];if(!t)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof n=="number"?t(n):n.map(r=>t(r))}const dR={htk:n=>700*(10**(n/2595)-1),kaldi:n=>700*(Math.exp(n/1127)-1),slaney:(n,e=1e3,t=15,r=Math.log(6.4)/27)=>n>=t?e*Math.exp(r*(n-t)):200*n/3};function hR(n,e="htk"){const t=dR[e];if(!t)throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');return typeof n=="number"?t(n):n.map(r=>t(r))}function pR(n,e){const t=Float64Array.from({length:e.length-1},(s,o)=>e[o+1]-e[o]),r=Array.from({length:n.length},()=>new Array(e.length));for(let s=0;s<n.length;++s){const o=r[s];for(let l=0;l<e.length;++l)o[l]=e[l]-n[s]}const i=e.length-2,a=Array.from({length:i},()=>new Array(n.length));for(let s=0;s<n.length;++s){const o=r[s];for(let l=0;l<i;++l){const u=-o[l]/t[l],c=o[l+2]/t[l+1];a[l][s]=Math.max(0,Math.min(u,c))}}return a}function ug(n,e,t){const r=(e-n)/(t-1);return Float64Array.from({length:t},(i,a)=>n+r*a)}function eo(n,e,t,r,i,a=null,s="htk",o=!1){if(a!==null&&a!=="slaney")throw new Error('norm must be one of null or "slaney"');const l=sc(t,s),u=sc(r,s),c=ug(l,u,e+2);let h=hR(c,s),p;if(o){const m=i/(n*2);p=sc(Float64Array.from({length:n},(y,g)=>g*m),s),h=c}else p=ug(0,Math.floor(i/2),n);const d=pR(p,h);if(a!==null&&a==="slaney")for(let m=0;m<e;++m){const y=d[m],g=2/(h[m+2]-h[m]);for(let _=0;_<n;++_)y[_]*=g}return d}function fR(n,e,t){const r=new n.constructor(n.length+e+t),i=n.length-1;for(let a=0;a<n.length;++a)r[e+a]=n[a];for(let a=1;a<=e;++a)r[e-a]=n[Rl(a,i)];for(let a=1;a<=t;++a)r[i+e+a]=n[Rl(i-a,i)];return r}function ox(n,e,t,r,i){if(t<=0)throw new Error("reference must be greater than zero");if(r<=0)throw new Error("min_value must be greater than zero");t=Math.max(r,t);const a=Math.log10(t);for(let s=0;s<n.length;++s)n[s]=e*Math.log10(Math.max(r,n[s])-a);if(i!==null){if(i<=0)throw new Error("db_range must be greater than zero");const s=wr(n)[0]-i;for(let o=0;o<n.length;++o)n[o]=Math.max(n[o],s)}return n}function mR(n,e=1,t=1e-5,r=null){return ox(n,20,e,t,r)}function gR(n,e=1,t=1e-10,r=null){return ox(n,10,e,t,r)}async function cu(n,e,t,r,{fft_length:i=null,power:a=1,center:s=!0,pad_mode:o="reflect",onesided:l=!0,preemphasis:u=null,mel_filters:c=null,mel_floor:h=1e-10,log_mel:p=null,reference:d=1,min_value:m=1e-10,db_range:y=null,remove_dc_offset:g=null,max_num_frames:_=null,do_pad:w=!0,transpose:b=!1}={}){const E=e.length;if(i===null&&(i=t),t>i)throw Error(`frame_length (${t}) may not be larger than fft_length (${i})`);if(E!==t)throw new Error(`Length of the window (${E}) must equal frame_length (${t})`);if(r<=0)throw new Error("hop_length must be greater than zero");if(a===null&&c!==null)throw new Error("You have provided `mel_filters` but `power` is `None`. Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(s){if(o!=="reflect")throw new Error(`pad_mode="${o}" not implemented yet.`);const L=Math.floor((i-1)/2)+1;n=fR(n,L,L)}const T=Math.floor(1+Math.floor((n.length-t)/r)),I=l?Math.floor(i/2)+1:i;let C=T,B=T;_!==null&&(_>T?w&&(B=_):B=C=_);const R=new C1(i),k=new Float64Array(i),j=new Float64Array(R.outputBufferSize),Q=new Float32Array(I*B);for(let L=0;L<C;++L){const H=L*r;for(let K=0;K<t;++K)k[K]=n[H+K];if(g){let K=0;for(let J=0;J<t;++J)K+=k[J];const X=K/t;for(let J=0;J<t;++J)k[J]-=X}if(u!==null){for(let K=t-1;K>=1;--K)k[K]-=u*k[K-1];k[0]*=1-u}for(let K=0;K<e.length;++K)k[K]*=e[K];R.realTransform(j,k);for(let K=0;K<I;++K){const X=K<<1;Q[K*B+L]=j[X]**2+j[X+1]**2}}if(a!==null&&a!==2){const L=2/a;for(let H=0;H<Q.length;++H)Q[H]**=L}const ie=c.length;let F=await pS(new je("float32",c.flat(),[ie,I]),new je("float32",Q,[I,B]));b&&(F=F.transpose(1,0));const $=F.data;for(let L=0;L<$.length;++L)$[L]=Math.max(h,$[L]);if(a!==null&&p!==null){const L=Math.min($.length,C*ie);switch(p){case"log":for(let H=0;H<L;++H)$[H]=Math.log($[H]);break;case"log10":for(let H=0;H<L;++H)$[H]=Math.log10($[H]);break;case"dB":if(a===1)mR($,d,m,y);else if(a===2)gR($,d,m,y);else throw new Error(`Cannot use log_mel option '${p}' with power ${a}`);break;default:throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${p}'`)}}return F}function du(n,e,{periodic:t=!0,frame_length:r=null,center:i=!0}={}){const a=t?n+1:n;let s;switch(e){case"boxcar":s=new Float64Array(a).fill(1);break;case"hann":case"hann_window":s=lg(a);break;case"povey":s=lg(a).map(o=>Math.pow(o,.85));break;default:throw new Error(`Unknown window type ${e}.`)}if(t&&(s=s.subarray(0,n)),r===null)return s;if(n>r)throw new Error(`Length of the window (${n}) may not be larger than frame_length (${r})`);return s}function _R([n,e,t,r]){return[n-t/2,e-r/2,n+t/2,e+r/2]}function Jd(n,e=.5,t=null,r=!1){const i=n.logits,a=n.pred_boxes,[s,o,l]=i.dims;if(t!==null&&t.length!==s)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let u=[];for(let c=0;c<s;++c){let h=t!==null?t[c]:null,p={boxes:[],classes:[],scores:[]},d=i[c],m=a[c];for(let y=0;y<o;++y){let g=d[y],_=[],w;if(r){w=g.sigmoid().data;for(let b=0;b<w.length;++b)w[b]>e&&_.push(b)}else{let b=wr(g.data)[1];if(b===l-1||(w=zn(g.data),w[b]<e))continue;_.push(b)}for(const b of _){let E=m[y].data;E=_R(E),h!==null&&(E=E.map((T,I)=>T*h[(I+1)%2])),p.boxes.push(E),p.classes.push(b),p.scores.push(w[b])}}u.push(p)}return u}function Eo(n,e){if(!(n instanceof Float32Array||n instanceof Float64Array))throw new Error(`${e} expects input to be a Float32Array or a Float64Array, but got ${n?.constructor?.name??typeof n} instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`)}function cg(n,e,t=0,r=null){const i=n/e;let a=R1(i)*e;return r!==null&&a>r&&(a=Math.floor(i)*e),a<t&&(a=Math.ceil(i)*e),a}function oc([n,e],t){return[Math.max(Math.floor(n/t),1)*t,Math.max(Math.floor(e/t),1)*t]}class Sa extends Nn{constructor(e){super(),this.config=e}}class on extends Sa{constructor(e){super(e),this.image_mean=this.config.image_mean??this.config.mean,this.image_std=this.config.image_std??this.config.std,this.resample=this.config.resample??2,this.do_rescale=this.config.do_rescale??!0,this.rescale_factor=this.config.rescale_factor??1/255,this.do_normalize=this.config.do_normalize,this.do_resize=this.config.do_resize,this.do_thumbnail=this.config.do_thumbnail,this.size=this.config.size,this.size_divisibility=this.config.size_divisibility??this.config.size_divisor,this.do_center_crop=this.config.do_center_crop,this.crop_size=this.config.crop_size,this.do_convert_rgb=this.config.do_convert_rgb??!0,this.do_crop_margin=this.config.do_crop_margin,this.pad_size=this.config.pad_size,this.do_pad=this.config.do_pad,this.do_pad&&!this.pad_size&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=this.config.do_flip_channel_order??!1}async thumbnail(e,t,r=2){const i=e.height,a=e.width,s=t.height,o=t.width;let l=Math.min(i,s),u=Math.min(a,o);return l===i&&u===a?e:(i>a?u=Math.floor(a*l/i):a>i&&(l=Math.floor(i*u/a)),await e.resize(u,l,{resample:r}))}async crop_margin(e,t=200){const r=e.clone().grayscale(),i=W_(r.data)[0],s=wr(r.data)[0]-i;if(s===0)return e;const o=t/255;let l=r.width,u=r.height,c=0,h=0;const p=r.data;for(let d=0;d<r.height;++d){const m=d*r.width;for(let y=0;y<r.width;++y)(p[m+y]-i)/s<o&&(l=Math.min(l,y),u=Math.min(u,d),c=Math.max(c,y),h=Math.max(h,d))}return e=await e.crop([l,u,c,h]),e}pad_image(e,t,r,{mode:i="constant",center:a=!1,constant_values:s=0}={}){const[o,l,u]=t;let c,h;if(typeof r=="number"?(c=r,h=r):(c=r.width,h=r.height),c!==l||h!==o){const p=new Float32Array(c*h*u);if(Array.isArray(s))for(let y=0;y<p.length;++y)p[y]=s[y%u];else s!==0&&p.fill(s);const[d,m]=a?[Math.floor((c-l)/2),Math.floor((h-o)/2)]:[0,0];for(let y=0;y<o;++y){const g=(y+m)*c,_=y*l;for(let w=0;w<l;++w){const b=(g+w+d)*u,E=(_+w)*u;for(let T=0;T<u;++T)p[b+T]=e[E+T]}}if(i==="symmetric"){if(a)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const y=o-1,g=l-1;for(let _=0;_<h;++_){const w=_*c,b=Rl(_,y)*l;for(let E=0;E<c;++E){if(_<o&&E<l)continue;const T=(w+E)*u,I=(b+Rl(E,g))*u;for(let C=0;C<u;++C)p[T+C]=e[I+C]}}}e=p,t=[h,c,u]}return[e,t]}rescale(e){for(let t=0;t<e.length;++t)e[t]=this.rescale_factor*e[t]}get_resize_output_image_size(e,t){const[r,i]=e.size;let a,s;if(this.do_thumbnail){const{height:o,width:l}=t;a=Math.min(o,l)}else Number.isInteger(t)?(a=t,s=this.config.max_size??a):t!==void 0&&(a=t.shortest_edge,s=t.longest_edge);if(a!==void 0||s!==void 0){const o=a===void 0?1:Math.max(a/r,a/i),l=r*o,u=i*o,c=s===void 0?1:Math.min(s/l,s/u);let h=Math.floor(Number((l*c).toFixed(2))),p=Math.floor(Number((u*c).toFixed(2)));return this.size_divisibility!==void 0&&([h,p]=oc([h,p],this.size_divisibility)),[h,p]}else if(t!==void 0&&t.width!==void 0&&t.height!==void 0){let o=t.width,l=t.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let u=l/i,c=o/r;Math.abs(1-c)<Math.abs(1-u)?u=c:c=u,l=cg(u*i,this.config.ensure_multiple_of),o=cg(c*r,this.config.ensure_multiple_of)}return[o,l]}else{if(this.size_divisibility!==void 0)return oc([r,i],this.size_divisibility);throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(t)}`)}}async resize(e){const[t,r]=this.get_resize_output_image_size(e,this.size);return await e.resize(t,r,{resample:this.resample})}async preprocess(e,{do_normalize:t=null,do_pad:r=null,do_convert_rgb:i=null,do_convert_grayscale:a=null,do_flip_channel_order:s=null}={}){this.do_crop_margin&&(e=await this.crop_margin(e));const[o,l]=e.size;if(i??this.do_convert_rgb?e=e.rgb():a&&(e=e.grayscale()),this.do_resize&&(e=await this.resize(e)),this.do_thumbnail&&(e=await this.thumbnail(e,this.size,this.resample)),this.do_center_crop){let d,m;Number.isInteger(this.crop_size)?(d=this.crop_size,m=this.crop_size):(d=this.crop_size.width,m=this.crop_size.height),e=await e.center_crop(d,m)}const u=[e.height,e.width];let c=Float32Array.from(e.data),h=[e.height,e.width,e.channels];if(this.do_rescale&&this.rescale(c),t??this.do_normalize){let d=this.image_mean;Array.isArray(this.image_mean)||(d=new Array(e.channels).fill(d));let m=this.image_std;if(Array.isArray(this.image_std)||(m=new Array(e.channels).fill(d)),d.length!==e.channels||m.length!==e.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${d.length}) and \`image_std\` (${m.length}) must match the number of channels in the image (${e.channels}).`);for(let y=0;y<c.length;y+=e.channels)for(let g=0;g<e.channels;++g)c[y+g]=(c[y+g]-d[g])/m[g]}if(r??this.do_pad){if(this.pad_size)[c,h]=this.pad_image(c,[e.height,e.width,e.channels],this.pad_size);else if(this.size_divisibility){const[d,m]=oc([h[1],h[0]],this.size_divisibility);[c,h]=this.pad_image(c,h,{width:d,height:m})}}if(s??this.do_flip_channel_order){if(h[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let d=0;d<c.length;d+=3){const m=c[d];c[d]=c[d+2],c[d+2]=m}}const p=new je("float32",c,h).permute(2,0,1);return{original_size:[l,o],reshaped_input_size:u,pixel_values:p}}async _call(e,...t){Array.isArray(e)||(e=[e]);const r=await Promise.all(e.map(a=>this.preprocess(a)));return{pixel_values:Zs(r.map(a=>a.pixel_values),0),original_sizes:r.map(a=>a.original_size),reshaped_input_sizes:r.map(a=>a.reshaped_input_size)}}}class yR extends on{post_process_semantic_segmentation(e,t=null){const r=e.logits,i=r.dims[0];if(t!==null&&t.length!==i)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const a=[];for(let s=0;s<i;++s){const o=t!==null?t[s]:null;let l=r[s];o!==null&&(l=Od(l,o,"bilinear",!1));const[u,c]=o??l.dims.slice(-2),h=new je("int32",new Int32Array(u*c),[u,c]),p=l[0].data,d=h.data;for(let _=1;_<l.dims[0];++_){const w=l[_].data;for(let b=0;b<w.length;++b)w[b]>p[b]&&(p[b]=w[b],d[b]=_)}const m=new Array(l.dims[0]),y=h.data;for(let _=0;_<y.length;++_){const w=y[_];m[w]=w}const g=m.filter(_=>_!==void 0);a.push({segmentation:h,labels:g})}return a}}class lx extends on{}class vR extends lx{}class wR extends on{}class bR extends on{}class ux extends on{}class xR extends ux{}class SR extends on{}class ER extends on{}class cx extends on{constructor(e){super(e),this.crop_pct=this.config.crop_pct??224/256}async resize(e){const t=this.size?.shortest_edge;if(t===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(t<384){const r=Math.floor(t/this.crop_pct),[i,a]=this.get_resize_output_image_size(e,{shortest_edge:r});e=await e.resize(i,a,{resample:this.resample}),e=await e.center_crop(t,t)}else e=await e.resize(t,t,{resample:this.resample});return e}}class MR extends cx{}class TR extends on{}class AR extends on{}class CR extends on{constructor(e){super(e),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(t=>t*t))}}class dx extends on{}class $R extends dx{}class hx extends on{post_process_object_detection(...e){return Jd(...e)}}class RR extends hx{}class IR extends on{}class PR extends on{}class px extends on{pad_image(e,t,r,i={}){const[a,s,o]=t;let l=this.image_mean;Array.isArray(this.image_mean)||(l=new Array(o).fill(l));let u=this.image_std;Array.isArray(u)||(u=new Array(o).fill(l));const c=l.map((h,p)=>-h/u[p]);return super.pad_image(e,t,r,{center:!0,constant_values:c,...i})}}class kR extends px{}class OR extends on{async _call(e){const t=await super._call(e),r=[t.pixel_values.dims[0],64,64],i=new je("int64",new BigInt64Array(r.reduce((a,s)=>a*s)).fill(1n),r);return{...t,pixel_mask:i}}post_process_object_detection(...e){return Jd(...e)}remove_low_and_no_objects(e,t,r,i){let a=[],s=[],o=[];for(let l=0;l<e.dims[0];++l){let u=e[l],c=t[l],h=wr(u.data)[1];if(h===i)continue;let d=zn(u.data)[h];d>r&&(a.push(c),s.push(d),o.push(h))}return[a,s,o]}check_segment_validity(e,t,r,i=.5,a=.8){let s=[],o=0,l=0;const u=t[r].data;for(let h=0;h<e.length;++h)e[h]===r&&(s.push(h),++o),u[h]>=i&&++l;let c=o>0&&l>0;return c&&(c=o/l>a),[c,s]}compute_segments(e,t,r,i,a,s=null,o=null){let[l,u]=o??e[0].dims,c=new je("int32",new Int32Array(l*u),[l,u]),h=[];if(o!==null)for(let g=0;g<e.length;++g)e[g]=Od(e[g],o,"bilinear",!1);let p=new Int32Array(e[0].data.length),d=new Float32Array(e[0].data.length);for(let g=0;g<e.length;++g){let _=t[g];const w=e[g].data;for(let b=0;b<w.length;++b)w[b]*=_,w[b]>d[b]&&(p[b]=g,d[b]=w[b])}let m=0;const y=c.data;for(let g=0;g<r.length;++g){let _=r[g],[w,b]=this.check_segment_validity(p,e,g,i,a);if(w){++m;for(let E of b)y[E]=m;h.push({id:m,label_id:_,score:t[g]})}}return[c,h]}post_process_panoptic_segmentation(e,t=.5,r=.5,i=.8,a=null,s=null){a===null&&(console.warn("`label_ids_to_fuse` unset. No instance will be fused."),a=new Set);const o=e.logits,u=e.pred_masks.sigmoid();let[c,h,p]=o.dims;if(p-=1,s!==null&&s.length!==c)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let d=[];for(let m=0;m<c;++m){let y=s!==null?s[m]:null,g=o[m],_=u[m],[w,b,E]=this.remove_low_and_no_objects(g,_,t,p);if(E.length===0){let[C,B]=y??_.dims.slice(-2),R=new je("int32",new Int32Array(C*B).fill(-1),[C,B]);d.push({segmentation:R,segments_info:[]});continue}let[T,I]=this.compute_segments(w,b,E,r,i,a,y);d.push({segmentation:T,segments_info:I})}return d}post_process_instance_segmentation(){throw Error("Not implemented yet")}}class DR extends on{post_process_object_detection(...e){return Jd(...e)}}class LR extends on{reshape_input_points(e,t,r,i=!1){e=structuredClone(e);let a=zh(e);if(a.length===3)i||(a=[1,...a]),e=[e];else if(a.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 s=0;s<e.length;++s){let o=t[s],l=r[s],u=[l[0]/o[0],l[1]/o[1]];for(let c=0;c<e[s].length;++c)for(let h=0;h<e[s][c].length;++h)for(let p=0;p<e[s][c][h].length;++p)e[s][c][h][p]*=u[p%2]}return new je("float32",Float32Array.from(e.flat(1/0)),a)}add_input_labels(e,t){let r=zh(e);if(r.length===2)r=[1,...r],e=[e];else if(r.length!==3)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(r.some((i,a)=>i!==t.dims[a]))throw Error(`The first ${r.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new je("int64",e.flat(1/0).map(BigInt),r)}async _call(e,{input_points:t=null,input_labels:r=null,input_boxes:i=null}={}){const a=await super._call(e);if(t&&(a.input_points=this.reshape_input_points(t,a.original_sizes,a.reshaped_input_sizes)),r){if(!a.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");a.input_labels=this.add_input_labels(r,a.input_points)}return i&&(a.input_boxes=this.reshape_input_points(i,a.original_sizes,a.reshaped_input_sizes,!0)),a}async post_process_masks(e,t,r,{mask_threshold:i=0,binarize:a=!0,pad_size:s=null}={}){const o=[];s=s??this.pad_size;const l=[s.height,s.width];for(let u=0;u<t.length;++u){const c=t[u],h=r[u];let p=await Xm(e[u],{mode:"bilinear",size:l});if(p=p.slice(null,null,[0,h[0]],[0,h[1]]),p=await Xm(p,{mode:"bilinear",size:c}),a){const d=p.data,m=new Uint8Array(d.length);for(let y=0;y<d.length;++y)d[y]>i&&(m[y]=1);p=new je("bool",m,p.dims)}o.push(p)}return o}generate_crop_boxes(e,t,{crop_n_layers:r=0,overlap_ratio:i=512/1500,points_per_crop:a=32,crop_n_points_downscale_factor:s=1}={}){}}class zR extends on{pad_image(e,t,r,i={}){const[a,s,o]=t;return super.pad_image(e,t,{width:s+(r-s%r)%r,height:a+(r-a%r)%r},{mode:"symmetric",center:!1,constant_values:-1,...i})}}class NR extends on{async _call(e,t){Array.isArray(e)||(e=[e]),Array.isArray(t)||(t=[t]);const r=await Promise.all(e.map(s=>this.preprocess(s))),i=await Promise.all(t.map(s=>this.preprocess(s,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:Zs(r.map((s,o)=>Xr([s.pixel_values,i[o].pixel_values],0)),0),original_sizes:r.map(s=>s.original_size),reshaped_input_sizes:r.map(s=>s.reshaped_input_size)}}}class UR extends Sa{constructor(e){super(e),this.config.mel_filters??=eo(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney"),this.window=du(this.config.n_fft,"hann")}async _extract_fbank_features(e){const t=await cu(e,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10",max_num_frames:this.config.nb_max_frames}),r=t.data,i=wr(r)[0];for(let a=0;a<r.length;++a)r[a]=(Math.max(r[a],i-8)+4)/4;return t}async _call(e){Eo(e,"WhisperFeatureExtractor");let t;return e.length>this.config.n_samples?(console.warn("Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`."),t=e.slice(0,this.config.n_samples)):(t=new Float32Array(this.config.n_samples),t.set(e)),{input_features:(await this._extract_fbank_features(t)).unsqueeze_(0)}}}class BR extends Sa{_zero_mean_unit_var_norm(e){const r=e.reduce((a,s)=>a+s,0)/e.length,i=e.reduce((a,s)=>a+(s-r)**2,0)/e.length;return e.map(a=>(a-r)/Math.sqrt(i+1e-7))}async _call(e){Eo(e,"Wav2Vec2FeatureExtractor"),e instanceof Float64Array&&(e=new Float32Array(e));let t=e;this.config.do_normalize&&(t=this._zero_mean_unit_var_norm(t));const r=[1,t.length];return{input_values:new je("float32",t,r),attention_mask:new je("int64",new BigInt64Array(t.length).fill(1n),r)}}}class FR extends Sa{constructor(e){super(e);const t=this.config.sampling_rate,r=eo(256,this.config.num_mel_bins,20,Math.floor(t/2),t,null,"kaldi",!0);for(let i=0;i<r.length;++i)r[i].push(0);this.mel_filters=r,this.window=du(400,"povey",{periodic:!1})}async _extract_fbank_features(e,t){return e=e.map(r=>r*32768),cu(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e,{padding:t=!0,pad_to_multiple_of:r=2,do_normalize_per_mel_bins:i=!0,return_attention_mask:a=!0}={}){Eo(e,"SeamlessM4TFeatureExtractor");let s=await this._extract_fbank_features(e,this.config.max_length);if(i){const[m,y]=s.dims,g=s.data;for(let _=0;_<y;++_){let w=0;for(let I=0;I<m;++I)w+=g[I*y+_];const b=w/m;let E=0;for(let I=0;I<m;++I)E+=(g[I*y+_]-b)**2;E/=m-1;const T=Math.sqrt(E+1e-7);for(let I=0;I<m;++I){const C=I*y+_;g[C]=(g[C]-b)/T}}}let o;if(t){const[m,y]=s.dims,g=s.data,_=m%r;if(_>0){const w=new Float32Array(y*(m+_));w.set(g),w.fill(this.config.padding_value,g.length);const b=m+_;s=new je(s.type,w,[b,y]),a&&(o=new je("int64",new BigInt64Array(b),[1,b]),o.data.fill(1n,0,m))}}const[l,u]=s.dims,c=this.config.stride;if(l%c!==0)throw new Error(`The number of frames (${l}) must be a multiple of the stride (${c}).`);const p=s.view(1,Math.floor(l/c),u*c),d={input_features:p};if(a){const m=p.dims[1],y=new BigInt64Array(m);if(o){const g=o.data;for(let _=1,w=0;_<l;_+=c,++w)y[w]=g[_]}else y.fill(1n);d.attention_mask=new je("int64",y,[1,m])}return d}}class GR extends Sa{constructor(e){super(e);const t=this.config.sampling_rate,r=eo(256,this.config.num_mel_bins,20,Math.floor(t/2),t,null,"kaldi",!0);for(let i=0;i<r.length;++i)r[i].push(0);this.mel_filters=r,this.window=du(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(e,t){return cu(e,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:t,transpose:!0})}async _call(e){Eo(e,"ASTFeatureExtractor");const t=await this._extract_fbank_features(e,this.config.max_length);if(this.config.do_normalize){const r=this.std*2,i=t.data;for(let a=0;a<i.length;++a)i[a]=(i[a]-this.mean)/r}return{input_values:t.unsqueeze_(0)}}}class WR extends Sa{constructor(e){super(e),this.mel_filters=eo(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=eo(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=du(this.config.fft_window_size,"hann")}async _get_input_mel(e,t,r,i){let a;const s=e.length-t;if(s>0)if(r==="rand_trunc"){const o=Math.floor(Math.random()*(s+1));e=e.subarray(o,o+t),a=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${r}" not implemented`);else{if(s<0){let o=new Float64Array(t);if(o.set(e),i==="repeat")for(let l=e.length;l<t;l+=e.length)o.set(e.subarray(0,Math.min(e.length,t-l)),l);else if(i==="repeatpad")for(let l=e.length;l<-s;l+=e.length)o.set(e,l);e=o}if(r==="fusion")throw new Error(`Truncation strategy "${r}" not implemented`);a=await this._extract_fbank_features(e,this.mel_filters_slaney,this.config.nb_max_samples)}return a.unsqueeze_(0)}async _extract_fbank_features(e,t,r=null){return cu(e,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:t,log_mel:"dB",max_num_frames:r,do_pad:!1,transpose:!0})}async _call(e,{max_length:t=null}={}){return Eo(e,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(e,t??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}}class VR extends Sa{}class vs extends Nn{constructor(e){super(),this.feature_extractor=e}async _call(e,...t){return await this.feature_extractor(e,...t)}}class HR extends vs{async _call(...e){return await this.feature_extractor(...e)}post_process_masks(...e){return this.feature_extractor.post_process_masks(...e)}reshape_input_points(...e){return this.feature_extractor.reshape_input_points(...e)}}class qR extends vs{async _call(e){return await this.feature_extractor(e)}}class jR extends vs{async _call(e){return await this.feature_extractor(e)}}class XR extends vs{async _call(e){return await this.feature_extractor(e)}}class YR extends vs{}class Jn{static FEATURE_EXTRACTOR_CLASS_MAPPING={ImageFeatureExtractor:on,WhisperFeatureExtractor:UR,ViTFeatureExtractor:TR,MobileViTFeatureExtractor:dx,MobileViTImageProcessor:$R,OwlViTFeatureExtractor:hx,Owlv2ImageProcessor:RR,CLIPFeatureExtractor:ux,CLIPImageProcessor:xR,ChineseCLIPFeatureExtractor:SR,SiglipImageProcessor:ER,ConvNextFeatureExtractor:cx,ConvNextImageProcessor:MR,SegformerFeatureExtractor:yR,BitImageProcessor:wR,DPTImageProcessor:vR,DPTFeatureExtractor:lx,GLPNFeatureExtractor:bR,BeitFeatureExtractor:PR,DeiTFeatureExtractor:IR,DetrFeatureExtractor:OR,YolosFeatureExtractor:DR,DonutFeatureExtractor:px,NougatImageProcessor:kR,EfficientNetImageProcessor:CR,ViTImageProcessor:AR,VitMatteImageProcessor:NR,SamImageProcessor:LR,Swin2SRImageProcessor:zR,Wav2Vec2FeatureExtractor:BR,SeamlessM4TFeatureExtractor:FR,SpeechT5FeatureExtractor:VR,ASTFeatureExtractor:GR,ClapFeatureExtractor:WR};static PROCESSOR_CLASS_MAPPING={WhisperProcessor:qR,Wav2Vec2ProcessorWithLM:jR,SamProcessor:HR,SpeechT5Processor:XR,OwlViTProcessor:YR};static async from_pretrained(e,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main"}={}){let o=r??await Ii(e,"preprocessor_config.json",!0,{progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s}),l=o.feature_extractor_type??o.image_processor_type,u=this.FEATURE_EXTRACTOR_CLASS_MAPPING[l];if(!u)if(o.size!==void 0)console.warn(`Feature extractor type "${l}" not found, assuming ImageFeatureExtractor due to size parameter in config.`),u=on;else throw new Error(`Unknown Feature Extractor type: ${l}`);let c=this.PROCESSOR_CLASS_MAPPING[o.processor_class]??vs,h=new u(o);return new c(h)}}async function gi(n){return Array.isArray(n)||(n=[n]),await Promise.all(n.map(e=>An.read(e)))}async function Hl(n,e){return Array.isArray(n)||(n=[n]),await Promise.all(n.map(t=>typeof t=="string"||t instanceof URL?uR(t,e):t instanceof Float64Array?new Float32Array(t):t))}function fx(n,e){e&&(n=n.map(s=>s|0));const[t,r,i,a]=n;return{xmin:t,ymin:r,xmax:i,ymax:a}}class dn extends Nn{constructor({task:e,model:t,tokenizer:r=null,processor:i=null}){super(),this.task=e,this.model=t,this.tokenizer=r,this.processor=i}async dispose(){await this.model.dispose()}}class KR extends dn{constructor(e){super(e)}async _call(e,{top_k:t=1}={}){const r=this.tokenizer(e,{padding:!0,truncation:!0}),i=await this.model(r),a=this.model.config.problem_type==="multi_label_classification"?l=>l.sigmoid():l=>new je("float32",zn(l.data),l.dims),s=this.model.config.id2label,o=[];for(const l of i.logits){const u=a(l),c=await gs(u,t),h=c[0].tolist(),d=c[1].tolist().map((m,y)=>({label:s?s[m]:`LABEL_${m}`,score:h[y]}));t===1?o.push(...d):o.push(d)}return Array.isArray(e)||t===1?o:o[0]}}class ZR extends dn{constructor(e){super(e)}async _call(e,{ignore_labels:t=["O"]}={}){const r=Array.isArray(e),i=this.tokenizer(r?e:[e],{padding:!0,truncation:!0}),s=(await this.model(i)).logits,o=this.model.config.id2label,l=[];for(let u=0;u<s.dims[0];++u){const c=i.input_ids[u],h=s[u],p=[];for(let d=0;d<h.dims[0];++d){const m=h[d],y=wr(m.data)[1],g=o?o[y]:`LABEL_${y}`;if(t.includes(g))continue;const _=this.tokenizer.decode([c[d].item()],{skip_special_tokens:!0});if(_==="")continue;const w=zn(m.data);p.push({entity:g,score:w[y],index:d,word:_})}l.push(p)}return r?l:l[0]}}class QR extends dn{constructor(e){super(e)}async _call(e,t,{top_k:r=1}={}){const i=this.tokenizer(e,{text_pair:t,padding:!0,truncation:!0}),{start_logits:a,end_logits:s}=await this.model(i);console.log("start_logits",a),console.log("end_logits",s);const o=i.input_ids.tolist(),l=i.attention_mask.tolist();console.log("attention_mask",l),console.log(".tokenizer.sep_token_id,",this.tokenizer.sep_token_id);const u=this.tokenizer.all_special_ids;console.log("special_tokens",u);const c=[];for(let h=0;h<a.dims[0];++h){const p=o[h],d=p.findIndex(b=>b==this.tokenizer.sep_token_id);l[h].map((b,E)=>b==1&&(E===0||E>d&&u.findIndex(T=>T==p[E])===-1));const m=a[h].tolist(),y=s[h].tolist();for(let b=1;b<m.length;++b)(l[h]==0||b<=d||u.findIndex(E=>E==p[b])!==-1)&&(m[b]=-1/0,y[b]=-1/0);const g=zn(m).map((b,E)=>[b,E]),_=zn(y).map((b,E)=>[b,E]);g[0][0]=0,_[0][0]=0;const w=v1(g,_).filter(b=>b[0][1]<=b[1][1]).map(b=>[b[0][1],b[1][1],b[0][0]*b[1][0]]).sort((b,E)=>E[2]-b[2]);for(let b=0;b<Math.min(w.length,r);++b){const[E,T,I]=w[b],C=p.slice(E,T+1),B=this.tokenizer.decode(C,{skip_special_tokens:!0});c.push({answer:B,score:I})}}return r===1?c[0]:c}}class JR extends dn{constructor(e){super(e)}async _call(e,{top_k:t=5}={}){const r=this.tokenizer(e,{padding:!0,truncation:!0}),{logits:i}=await this.model(r),a=[],s=r.input_ids.tolist();console.log("input_ids",s);for(let o=0;o<s.length;++o){const l=s[o],u=l.findIndex(m=>m==this.tokenizer.mask_token_id);if(u===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const c=i[o][u],h=await gs(new je("float32",zn(c.data),c.dims),t),p=h[0].tolist(),d=h[1].tolist();a.push(d.map((m,y)=>{const g=l.slice();return g[u]=m,{score:p[y],token:Number(m),token_str:this.tokenizer.model.vocab[m],sequence:this.tokenizer.decode(g,{skip_special_tokens:!0})}}))}return Array.isArray(e)?a:a[0]}}class eh extends dn{_key="generated_text";constructor(e){super(e)}async _call(e,t={}){Array.isArray(e)||(e=[e]),this.model.config.prefix&&(e=e.map(l=>this.model.config.prefix+l));const r=this.model.config.task_specific_params;r&&r[this.task]&&r[this.task].prefix&&(e=e.map(l=>r[this.task].prefix+l));const i=this.tokenizer,a={padding:!0,truncation:!0};let s;this instanceof mx&&"_build_translation_inputs"in i?s=i._build_translation_inputs(e,a,t):s=i(e,a);const o=await this.model.generate({...s,...t});return i.batch_decode(o,{skip_special_tokens:!0}).map(l=>({[this._key]:l}))}}class eI extends eh{_key="summary_text";constructor(e){super(e)}}class mx extends eh{_key="translation_text";constructor(e){super(e)}}class tI extends dn{constructor(e){super(e)}async _call(e,t={}){throw new Error("This pipeline is not yet supported in Transformers.js v3.")}}class nI extends dn{constructor(e){super(e),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([t,r])=>[t.toLowerCase(),r])),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(e,t,{hypothesis_template:r="This example is {}.",multi_label:i=!1}={}){const a=Array.isArray(e);a||(e=[e]),Array.isArray(t)||(t=[t]);const s=t.map(u=>r.replace("{}",u)),o=i||t.length===1,l=[];for(const u of e){const c=[];for(const d of s){const m=this.tokenizer(u,{text_pair:d,padding:!0,truncation:!0}),y=await this.model(m);o?c.push([y.logits.data[this.contradiction_id],y.logits.data[this.entailment_id]]):c.push(y.logits.data[this.entailment_id])}const p=(o?c.map(d=>zn(d)[1]):zn(c)).map((d,m)=>[d,m]).sort((d,m)=>m[0]-d[0]);l.push({sequence:u,labels:p.map(d=>t[d[1]]),scores:p.map(d=>d[0])})}return a?l:l[0]}}class rI extends dn{constructor(e){super(e)}async _call(e,{pooling:t="none",normalize:r=!1,quantize:i=!1,precision:a="binary"}={}){const s=this.tokenizer(e,{padding:!0,truncation:!0}),o=await this.model(s);let l=o.last_hidden_state??o.logits??o.token_embeddings;if(t!=="none")if(t==="mean")l=fS(l,s.attention_mask);else if(t==="cls")l=l.slice(null,0);else throw Error(`Pooling method '${t}' not supported.`);return r&&(l=l.normalize(2,-1)),i&&(l=SS(l,a)),l}}class iI extends dn{constructor(e){super(e)}async _call(e,{pool:t=null}={}){const r=await gi(e),{pixel_values:i}=await this.processor(r),a=await this.model({pixel_values:i});let s;if(t){if(!("pooler_output"in a))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");s=a.pooler_output}else s=a.last_hidden_state??a.logits??a.image_embeds;return s}}class aI extends dn{constructor(e){super(e)}async _call(e,{top_k:t=5}={}){const r=this.processor.feature_extractor.config.sampling_rate,i=await Hl(e,r),a=this.model.config.id2label,s=[];for(const o of i){const l=await this.processor(o),c=(await this.model(l)).logits[0],h=await gs(new je("float32",zn(c.data),c.dims),t),p=h[0].tolist(),m=h[1].tolist().map((y,g)=>({label:a?a[y]:`LABEL_${y}`,score:p[g]}));s.push(m)}return Array.isArray(e)?s:s[0]}}class sI extends dn{constructor(e){super(e)}async _call(e,t,{hypothesis_template:r="This is a sound of {}."}={}){const i=!Array.isArray(e);i&&(e=[e]);const a=t.map(c=>r.replace("{}",c)),s=this.tokenizer(a,{padding:!0,truncation:!0}),o=this.processor.feature_extractor.config.sampling_rate,l=await Hl(e,o),u=[];for(const c of l){const h=await this.processor(c),p=await this.model({...s,...h}),d=zn(p.logits_per_audio.data);u.push([...d].map((m,y)=>({score:m,label:t[y]})))}return i?u[0]:u}}class oI extends dn{constructor(e){super(e)}async _call(e,t={}){switch(this.model.config.model_type){case"whisper":return this._call_whisper(e,t);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(e,t);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(e,t){t.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),t.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const r=!Array.isArray(e);r&&(e=[e]);const i=this.processor.feature_extractor.config.sampling_rate,a=await Hl(e,i),s=[];for(const o of a){const l=await this.processor(o),c=(await this.model(l)).logits[0],h=[];for(const d of c)h.push(wr(d.data)[1]);const p=this.tokenizer.decode(h);s.push({text:p})}return r?s[0]:s}async _call_whisper(e,t){const r=t.return_timestamps??!1,i=t.chunk_length_s??0,a=t.force_full_sequences??!1;let s=t.stride_length_s??null;r==="word"&&(t.return_token_timestamps=!0);const o=!Array.isArray(e);o&&(e=[e]);const l=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,u=this.processor.feature_extractor.config.hop_length,c=this.processor.feature_extractor.config.sampling_rate,h=await Hl(e,c),p=[];for(const d of h){let m=[];if(i>0){if(s===null)s=i/6;else if(i<=s)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const _=c*i,w=c*s,b=_-2*w;let E=0;for(;E<d.length;){const T=d.subarray(E,E+_),I=await this.processor(T),C=E===0,B=E+b>=d.length;m.push({stride:[T.length,C?0:w,B?0:w],input_features:I.input_features,is_last:B}),E+=b}}else m=[{stride:[d.length,0,0],input_features:(await this.processor(d)).input_features,is_last:!0}];for(const _ of m){t.num_frames=Math.floor(_.stride[0]/u);const w=await this.model.generate({inputs:_.input_features,...t});r==="word"?(_.tokens=w.sequences[0].tolist(),_.token_timestamps=w.token_timestamps.tolist()[0].map(b=>wl(b,2))):_.tokens=w[0].tolist(),_.stride=_.stride.map(b=>b/c)}const[y,g]=this.tokenizer._decode_asr(m,{time_precision:l,return_timestamps:r,force_full_sequences:a});p.push({text:y,...g})}return o?p[0]:p}}class lI extends dn{constructor(e){super(e)}async _call(e,t={}){const r=Array.isArray(e),i=await gi(e),{pixel_values:a}=await this.processor(i),s=[];for(const o of a){o.dims=[1,...o.dims];const l=await this.model.generate({inputs:o,...t}),u=this.tokenizer.batch_decode(l,{skip_special_tokens:!0}).map(c=>({generated_text:c.trim()}));s.push(u)}return r?s:s[0]}}class uI extends dn{constructor(e){super(e)}async _call(e,{top_k:t=5}={}){const r=await gi(e),{pixel_values:i}=await this.processor(r),a=await this.model({pixel_values:i}),s=this.model.config.id2label,o=[];for(const l of a.logits){const u=await gs(new je("float32",zn(l.data),l.dims),t),c=u[0].tolist(),p=u[1].tolist().map((d,m)=>({label:s?s[d]:`LABEL_${d}`,score:c[m]}));o.push(p)}return Array.isArray(e)?o:o[0]}}class cI extends dn{constructor(e){super(e),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(e,{threshold:t=.5,mask_threshold:r=.5,overlap_mask_area_threshold:i=.8,label_ids_to_fuse:a=null,target_sizes:s=null,subtask:o=null}={}){if(Array.isArray(e)&&e.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const u=await gi(e),c=u.map(_=>[_.height,_.width]),{pixel_values:h,pixel_mask:p}=await this.processor(u),d=await this.model({pixel_values:h,pixel_mask:p});let m=null;if(o!==null)m=this.subtasks_mapping[o];else for(let[_,w]of Object.entries(this.subtasks_mapping))if(w in this.processor.feature_extractor){m=this.processor.feature_extractor[w].bind(this.processor.feature_extractor),o=_;break}const y=this.model.config.id2label,g=[];if(o==="panoptic"||o==="instance"){const _=m(d,t,r,i,a,s??c)[0],w=_.segmentation;for(const b of _.segments_info){const E=new Uint8ClampedArray(w.data.length);for(let I=0;I<w.data.length;++I)w.data[I]===b.id&&(E[I]=255);const T=new An(E,w.dims[1],w.dims[0],1);g.push({score:b.score,label:y[b.label_id],mask:T})}}else if(o==="semantic"){const{segmentation:_,labels:w}=m(d,s??c)[0];for(const b of w){const E=new Uint8ClampedArray(_.data.length);for(let I=0;I<_.data.length;++I)_.data[I]===b&&(E[I]=255);const T=new An(E,_.dims[1],_.dims[0],1);g.push({score:null,label:y[b],mask:T})}}else throw Error(`Subtask ${o} not supported.`);return g}}class dI extends dn{constructor(e){super(e)}async _call(e,t,{hypothesis_template:r="This is a photo of {}"}={}){const i=Array.isArray(e),a=await gi(e),s=t.map(p=>r.replace("{}",p)),o=this.tokenizer(s,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:l}=await this.processor(a),u=await this.model({...o,pixel_values:l}),c=this.model.config.model_type==="siglip"?p=>p.sigmoid().data:p=>zn(p.data),h=[];for(const p of u.logits_per_image){const m=[...c(p)].map((y,g)=>({score:y,label:t[g]}));m.sort((y,g)=>g.score-y.score),h.push(m)}return i?h:h[0]}}class hI extends dn{constructor(e){super(e)}async _call(e,{threshold:t=.9,percentage:r=!1}={}){const i=Array.isArray(e);if(i&&e.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const a=await gi(e),s=r?null:a.map(d=>[d.height,d.width]),{pixel_values:o,pixel_mask:l}=await this.processor(a),u=await this.model({pixel_values:o,pixel_mask:l}),c=this.processor.feature_extractor.post_process_object_detection(u,t,s),h=this.model.config.id2label,p=c.map(d=>d.boxes.map((m,y)=>({score:d.scores[y],label:h[d.classes[y]],box:fx(m,!r)})));return i?p:p[0]}}class pI extends dn{constructor(e){super(e)}async _call(e,t,{threshold:r=.1,top_k:i=null,percentage:a=!1}={}){const s=Array.isArray(e),o=await gi(e),l=this.tokenizer(t,{padding:!0,truncation:!0}),u=await this.processor(o),c=[];for(let h=0;h<o.length;++h){const p=o[h],d=a?null:[[p.height,p.width]],m=u.pixel_values[h].unsqueeze_(0),y=await this.model({...l,pixel_values:m}),g=this.processor.feature_extractor.post_process_object_detection(y,r,d,!0)[0];let _=g.boxes.map((w,b)=>({score:g.scores[b],label:t[g.classes[b]],box:fx(w,!a)})).sort((w,b)=>b.score-w.score);i!==null&&(_=_.slice(0,i)),c.push(_)}return s?c:c[0]}}class fI extends dn{constructor(e){super(e)}async _call(e,t,r={}){throw new Error("This pipeline is not yet supported in Transformers.js v3.")}}class mI extends dn{DEFAULT_VOCODER_ID="Xenova/speecht5_hifigan";constructor(e){super(e),this.vocoder=e.vocoder??null}async _call(e,{speaker_embeddings:t=null}={}){throw new Error("This pipeline is not yet supported in Transformers.js v3.")}async _call_text_to_waveform(e){const t=this.tokenizer(e,{padding:!0,truncation:!0}),{waveform:r}=await this.model(t),i=this.model.config.sampling_rate;return{audio:r.data,sampling_rate:i}}async _call_text_to_spectrogram(e,{speaker_embeddings:t}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await Us.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof t=="string"||t instanceof URL)&&(t=new Float32Array(await(await fetch(t)).arrayBuffer())),t instanceof Float32Array)t=new je("float32",t,[1,t.length]);else if(!(t instanceof je))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:r}=this.tokenizer(e,{padding:!0,truncation:!0}),{waveform:i}=await this.model.generate_speech(r,t,{vocoder:this.vocoder}),a=this.processor.feature_extractor.config.sampling_rate;return{audio:i.data,sampling_rate:a}}}class gI extends dn{constructor(e){super(e)}async _call(e){const t=await gi(e),r=await this.processor(t),i=await this.model(r),a=[];for(const s of i.reconstruction){const o=s.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");a.push(An.fromTensor(o))}return a.length>1?a:a[0]}}class _I extends dn{constructor(e){super(e)}async _call(e){const t=await gi(e),r=await this.processor(t),{predicted_depth:i}=await this.model(r),a=[];for(let s=0;s<t.length;++s){const o=Od(i[s],t[s].size.reverse(),"bilinear",!1),l=o.mul_(255/wr(o.data)[0]).to("uint8");a.push({predicted_depth:i[s],depth:An.fromTensor(l)})}return a.length>1?a:a[0]}}const dg=Object.freeze({"text-classification":{tokenizer:Tn,pipeline:KR,model:og,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:Tn,pipeline:ZR,model:N3,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:Tn,pipeline:QR,model:V3,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:Tn,pipeline:JR,model:W3,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:Tn,pipeline:eI,model:ac,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:Tn,pipeline:mx,model:ac,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:Tn,pipeline:eh,model:ac,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:Tn,pipeline:tI,model:G3,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:Tn,pipeline:nI,model:og,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:aI,model:Q3,processor:Jn,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:Tn,pipeline:sI,model:Us,processor:Jn,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:Tn,pipeline:oI,model:[U3,Z3],processor:Jn,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:Tn,pipeline:mI,model:[F3,B3],processor:[Jn,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:Tn,pipeline:lI,model:H3,processor:Jn,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:uI,model:q3,processor:Jn,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:cI,model:[j3,X3],processor:Jn,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"zero-shot-image-classification":{tokenizer:Tn,pipeline:dI,model:Us,processor:Jn,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:hI,model:Y3,processor:Jn,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:Tn,pipeline:pI,model:K3,processor:Jn,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:Tn,pipeline:fI,model:J3,processor:Jn,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:gI,model:eR,processor:Jn,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:_I,model:tR,processor:Jn,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:Tn,pipeline:rI,model:Us,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:Jn,pipeline:iI,model:[nR,Us],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),yI=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function vI(n,e=null,{progress_callback:t=null,config:r=null,cache_dir:i=null,local_files_only:a=!1,revision:s="main",device:o=null,dtype:l=null,model_file_name:u=null,session_options:c={}}={}){n=yI[n]??n;const h=dg[n.split("_",1)[0]];if(!h)throw Error(`Unsupported pipeline: ${n}. Must be one of [${Object.keys(dg)}]`);e||(e=h.default.model,console.log(`No model specified. Using default model: "${e}".`));const p={progress_callback:t,config:r,cache_dir:i,local_files_only:a,revision:s,device:o,dtype:l,model_file_name:u,session_options:c},d=new Map([["tokenizer",h.tokenizer],["model",h.model],["processor",h.processor]]),m=await wI(d,e,p);m.task=n,Za(t,{status:"ready",task:n,model:e});const y=h.pipeline;return new y(m)}async function wI(n,e,t){const r=Object.create(null),i=[];for(let[a,s]of n.entries()){if(!s)continue;let o;Array.isArray(s)?o=new Promise(async(l,u)=>{let c;for(let h of s){if(h===null){l(null);return}try{l(await h.from_pretrained(e,t));return}catch(p){if(p.message?.includes("Unsupported model type"))c=p;else{u(p);return}}}u(c)}):o=s.from_pretrained(e,t),r[a]=o,i.push(o)}await Promise.all(i);for(let[a,s]of Object.entries(r))r[a]=await s;return r}pa.IS_PROCESS_AVAILABLE;/**
 * @license
 * Copyright 2010-2023 Three.js Authors
 * SPDX-License-Identifier: MIT
 */const 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Math.acos(Ln(r,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){const t=this.x-e.x,r=this.y-e.y;return t*t+r*r}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this}lerpVectors(e,t,r){return this.x=e.x+(t.x-e.x)*r,this.y=e.y+(t.y-e.y)*r,this}equals(e){return e.x===this.x&&e.y===this.y}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this}rotateAround(e,t){const r=Math.cos(t),i=Math.sin(t),a=this.x-e.x,s=this.y-e.y;return this.x=a*r-s*i+e.x,this.y=a*i+s*r+e.y,this}random(){return this.x=Math.random(),this.y=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y}}class Lt{constructor(e,t,r,i,a,s,o,l,u){Lt.prototype.isMatrix3=!0,this.elements=[1,0,0,0,1,0,0,0,1],e!==void 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this.convert(n,this._workingColorSpace,e)},toWorkingColorSpace:function(n,e){return this.convert(n,e,this._workingColorSpace)},getPrimaries:function(n){return Yo[n].primaries},getTransfer:function(n){return n===_r?jl:Yo[n].transfer}};function as(n){return n<.04045?n*.0773993808:Math.pow(n*.9478672986+.0521327014,2.4)}function mc(n){return n<.0031308?n*12.92:1.055*Math.pow(n,.41666)-.055}let La;class Rx{static getDataURL(e){if(/^data:/i.test(e.src)||typeof HTMLCanvasElement>"u")return e.src;let t;if(e instanceof HTMLCanvasElement)t=e;else{La===void 0&&(La=io("canvas")),La.width=e.width,La.height=e.height;const r=La.getContext("2d");e instanceof ImageData?r.putImageData(e,0,0):r.drawImage(e,0,0,e.width,e.height),t=La}return t.width>2048||t.height>2048?(console.warn("THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons",e),t.toDataURL("image/jpeg",.6)):t.toDataURL("image/png")}static sRGBToLinear(e){if(typeof HTMLImageElement<"u"&&e instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&e instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&e instanceof ImageBitmap){const t=io("canvas");t.width=e.width,t.height=e.height;const r=t.getContext("2d");r.drawImage(e,0,0,e.width,e.height);const i=r.getImageData(0,0,e.width,e.height),a=i.data;for(let s=0;s<a.length;s++)a[s]=as(a[s]/255)*255;return r.putImageData(i,0,0),t}else if(e.data){const t=e.data.slice(0);for(let r=0;r<t.length;r++)t instanceof Uint8Array||t instanceof Uint8ClampedArray?t[r]=Math.floor(as(t[r]/255)*255):t[r]=as(t[r]);return{data:t,width:e.width,height:e.height}}else return console.warn("THREE.ImageUtils.sRGBToLinear(): Unsupported image type. No color space conversion applied."),e}}let zP=0;class Ix{constructor(e=null){this.isSource=!0,Object.defineProperty(this,"id",{value:zP++}),this.uuid=ws(),this.data=e,this.version=0}set needsUpdate(e){e===!0&&this.version++}toJSON(e){const t=e===void 0||typeof e=="string";if(!t&&e.images[this.uuid]!==void 0)return e.images[this.uuid];const r={uuid:this.uuid,url:""},i=this.data;if(i!==null){let a;if(Array.isArray(i)){a=[];for(let s=0,o=i.length;s<o;s++)i[s].isDataTexture?a.push(gc(i[s].image)):a.push(gc(i[s]))}else a=gc(i);r.url=a}return t||(e.images[this.uuid]=r),r}}function gc(n){return typeof HTMLImageElement<"u"&&n instanceof HTMLImageElement||typeof HTMLCanvasElement<"u"&&n instanceof HTMLCanvasElement||typeof ImageBitmap<"u"&&n instanceof ImageBitmap?Rx.getDataURL(n):n.data?{data:Array.from(n.data),width:n.width,height:n.height,type:n.data.constructor.name}:(console.warn("THREE.Texture: Unable to serialize Texture."),{})}let NP=0;class Xn extends Ea{constructor(e=Xn.DEFAULT_IMAGE,t=Xn.DEFAULT_MAPPING,r=Lr,i=Lr,a=mr,s=to,o=zr,l=Li,u=Xn.DEFAULT_ANISOTROPY,c=_r){super(),this.isTexture=!0,Object.defineProperty(this,"id",{value:NP++}),this.uuid=ws(),this.name="",this.source=new Ix(e),this.mipmaps=[],this.mapping=t,this.channel=0,this.wrapS=r,this.wrapT=i,this.magFilter=a,this.minFilter=s,this.anisotropy=u,this.format=o,this.internalFormat=null,this.type=l,this.offset=new kt(0,0),this.repeat=new kt(1,1),this.center=new kt(0,0),this.rotation=0,this.matrixAutoUpdate=!0,this.matrix=new Lt,this.generateMipmaps=!0,this.premultiplyAlpha=!1,this.flipY=!0,this.unpackAlignment=4,typeof c=="string"?this.colorSpace=c:(qs("THREE.Texture: Property .encoding has been replaced by .colorSpace."),this.colorSpace=c===da?En:_r),this.userData={},this.version=0,this.onUpdate=null,this.isRenderTargetTexture=!1,this.needsPMREMUpdate=!1}get image(){return this.source.data}set image(e=null){this.source.data=e}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}clone(){return new this.constructor().copy(this)}copy(e){return this.name=e.name,this.source=e.source,this.mipmaps=e.mipmaps.slice(0),this.mapping=e.mapping,this.channel=e.channel,this.wrapS=e.wrapS,this.wrapT=e.wrapT,this.magFilter=e.magFilter,this.minFilter=e.minFilter,this.anisotropy=e.anisotropy,this.format=e.format,this.internalFormat=e.internalFormat,this.type=e.type,this.offset.copy(e.offset),this.repeat.copy(e.repeat),this.center.copy(e.center),this.rotation=e.rotation,this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrix.copy(e.matrix),this.generateMipmaps=e.generateMipmaps,this.premultiplyAlpha=e.premultiplyAlpha,this.flipY=e.flipY,this.unpackAlignment=e.unpackAlignment,this.colorSpace=e.colorSpace,this.userData=JSON.parse(JSON.stringify(e.userData)),this.needsUpdate=!0,this}toJSON(e){const t=e===void 0||typeof e=="string";if(!t&&e.textures[this.uuid]!==void 0)return e.textures[this.uuid];const r={metadata:{version:4.6,type:"Texture",generator:"Texture.toJSON"},uuid:this.uuid,name:this.name,image:this.source.toJSON(e).uuid,mapping:this.mapping,channel:this.channel,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,internalFormat:this.internalFormat,type:this.type,colorSpace:this.colorSpace,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,generateMipmaps:this.generateMipmaps,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};return Object.keys(this.userData).length>0&&(r.userData=this.userData),t||(e.textures[this.uuid]=r),r}dispose(){this.dispatchEvent({type:"dispose"})}transformUv(e){if(this.mapping!==yx)return e;if(e.applyMatrix3(this.matrix),e.x<0||e.x>1)switch(this.wrapS){case ad:e.x=e.x-Math.floor(e.x);break;case Lr:e.x=e.x<0?0:1;break;case sd:Math.abs(Math.floor(e.x)%2)===1?e.x=Math.ceil(e.x)-e.x:e.x=e.x-Math.floor(e.x);break}if(e.y<0||e.y>1)switch(this.wrapT){case ad:e.y=e.y-Math.floor(e.y);break;case Lr:e.y=e.y<0?0:1;break;case sd:Math.abs(Math.floor(e.y)%2)===1?e.y=Math.ceil(e.y)-e.y:e.y=e.y-Math.floor(e.y);break}return this.flipY&&(e.y=1-e.y),e}set needsUpdate(e){e===!0&&(this.version++,this.source.needsUpdate=!0)}get encoding(){return qs("THREE.Texture: Property .encoding has been replaced by .colorSpace."),this.colorSpace===En?da:Tx}set encoding(e){qs("THREE.Texture: Property .encoding has been replaced by .colorSpace."),this.colorSpace=e===da?En:_r}}Xn.DEFAULT_IMAGE=null;Xn.DEFAULT_MAPPING=yx;Xn.DEFAULT_ANISOTROPY=1;class $n{constructor(e=0,t=0,r=0,i=1){$n.prototype.isVector4=!0,this.x=e,this.y=t,this.z=r,this.w=i}get width(){return this.z}set width(e){this.z=e}get height(){return this.w}set height(e){this.w=e}set(e,t,r,i){return this.x=e,this.y=t,this.z=r,this.w=i,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this.w=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setW(e){return this.w=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;case 3:this.w=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this.w=e.w!==void 0?e.w:1,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this.w+=e.w,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this.w+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this.w=e.w+t.w,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this.w+=e.w*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this.w-=e.w,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this.w-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this.w=e.w-t.w,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this.w*=e.w,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this.w*=e,this}applyMatrix4(e){const t=this.x,r=this.y,i=this.z,a=this.w,s=e.elements;return this.x=s[0]*t+s[4]*r+s[8]*i+s[12]*a,this.y=s[1]*t+s[5]*r+s[9]*i+s[13]*a,this.z=s[2]*t+s[6]*r+s[10]*i+s[14]*a,this.w=s[3]*t+s[7]*r+s[11]*i+s[15]*a,this}divideScalar(e){return this.multiplyScalar(1/e)}setAxisAngleFromQuaternion(e){this.w=2*Math.acos(e.w);const t=Math.sqrt(1-e.w*e.w);return t<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=e.x/t,this.y=e.y/t,this.z=e.z/t),this}setAxisAngleFromRotationMatrix(e){let t,r,i,a;const l=e.elements,u=l[0],c=l[4],h=l[8],p=l[1],d=l[5],m=l[9],y=l[2],g=l[6],_=l[10];if(Math.abs(c-p)<.01&&Math.abs(h-y)<.01&&Math.abs(m-g)<.01){if(Math.abs(c+p)<.1&&Math.abs(h+y)<.1&&Math.abs(m+g)<.1&&Math.abs(u+d+_-3)<.1)return this.set(1,0,0,0),this;t=Math.PI;const b=(u+1)/2,E=(d+1)/2,T=(_+1)/2,I=(c+p)/4,C=(h+y)/4,B=(m+g)/4;return b>E&&b>T?b<.01?(r=0,i=.707106781,a=.707106781):(r=Math.sqrt(b),i=I/r,a=C/r):E>T?E<.01?(r=.707106781,i=0,a=.707106781):(i=Math.sqrt(E),r=I/i,a=B/i):T<.01?(r=.707106781,i=.707106781,a=0):(a=Math.sqrt(T),r=C/a,i=B/a),this.set(r,i,a,t),this}let w=Math.sqrt((g-m)*(g-m)+(h-y)*(h-y)+(p-c)*(p-c));return Math.abs(w)<.001&&(w=1),this.x=(g-m)/w,this.y=(h-y)/w,this.z=(p-c)/w,this.w=Math.acos((u+d+_-1)/2),this}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this.w=Math.min(this.w,e.w),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this.w=Math.max(this.w,e.w),this}clamp(e,t){return this.x=Math.max(e.x,Math.min(t.x,this.x)),this.y=Math.max(e.y,Math.min(t.y,this.y)),this.z=Math.max(e.z,Math.min(t.z,this.z)),this.w=Math.max(e.w,Math.min(t.w,this.w)),this}clampScalar(e,t){return this.x=Math.max(e,Math.min(t,this.x)),this.y=Math.max(e,Math.min(t,this.y)),this.z=Math.max(e,Math.min(t,this.z)),this.w=Math.max(e,Math.min(t,this.w)),this}clampLength(e,t){const r=this.length();return this.divideScalar(r||1).multiplyScalar(Math.max(e,Math.min(t,r)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this.w=Math.floor(this.w),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this.w=Math.ceil(this.w),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this.w=Math.round(this.w),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this.w=Math.trunc(this.w),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this.w=-this.w,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z+this.w*e.w}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z+this.w*this.w)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)+Math.abs(this.w)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this.w+=(e.w-this.w)*t,this}lerpVectors(e,t,r){return this.x=e.x+(t.x-e.x)*r,this.y=e.y+(t.y-e.y)*r,this.z=e.z+(t.z-e.z)*r,this.w=e.w+(t.w-e.w)*r,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z&&e.w===this.w}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this.w=e[t+3],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e[t+3]=this.w,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this.w=e.getW(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this.w=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z,yield this.w}}class UP extends Ea{constructor(e=1,t=1,r={}){super(),this.isRenderTarget=!0,this.width=e,this.height=t,this.depth=1,this.scissor=new $n(0,0,e,t),this.scissorTest=!1,this.viewport=new $n(0,0,e,t);const i={width:e,height:t,depth:1};r.encoding!==void 0&&(qs("THREE.WebGLRenderTarget: option.encoding has been replaced by option.colorSpace."),r.colorSpace=r.encoding===da?En:_r),r=Object.assign({generateMipmaps:!1,internalFormat:null,minFilter:mr,depthBuffer:!0,stencilBuffer:!1,depthTexture:null,samples:0},r),this.texture=new Xn(i,r.mapping,r.wrapS,r.wrapT,r.magFilter,r.minFilter,r.format,r.type,r.anisotropy,r.colorSpace),this.texture.isRenderTargetTexture=!0,this.texture.flipY=!1,this.texture.generateMipmaps=r.generateMipmaps,this.texture.internalFormat=r.internalFormat,this.depthBuffer=r.depthBuffer,this.stencilBuffer=r.stencilBuffer,this.depthTexture=r.depthTexture,this.samples=r.samples}setSize(e,t,r=1){(this.width!==e||this.height!==t||this.depth!==r)&&(this.width=e,this.height=t,this.depth=r,this.texture.image.width=e,this.texture.image.height=t,this.texture.image.depth=r,this.dispose()),this.viewport.set(0,0,e,t),this.scissor.set(0,0,e,t)}clone(){return new this.constructor().copy(this)}copy(e){this.width=e.width,this.height=e.height,this.depth=e.depth,this.scissor.copy(e.scissor),this.scissorTest=e.scissorTest,this.viewport.copy(e.viewport),this.texture=e.texture.clone(),this.texture.isRenderTargetTexture=!0;const t=Object.assign({},e.texture.image);return this.texture.source=new Ix(t),this.depthBuffer=e.depthBuffer,this.stencilBuffer=e.stencilBuffer,e.depthTexture!==null&&(this.depthTexture=e.depthTexture.clone()),this.samples=e.samples,this}dispose(){this.dispatchEvent({type:"dispose"})}}class _a extends UP{constructor(e=1,t=1,r={}){super(e,t,r),this.isWebGLRenderTarget=!0}}class Px extends Xn{constructor(e=null,t=1,r=1,i=1){super(null),this.isDataArrayTexture=!0,this.image={data:e,width:t,height:r,depth:i},this.magFilter=qn,this.minFilter=qn,this.wrapR=Lr,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}}class BP extends Xn{constructor(e=null,t=1,r=1,i=1){super(null),this.isData3DTexture=!0,this.image={data:e,width:t,height:r,depth:i},this.magFilter=qn,this.minFilter=qn,this.wrapR=Lr,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1}}class ya{constructor(e=0,t=0,r=0,i=1){this.isQuaternion=!0,this._x=e,this._y=t,this._z=r,this._w=i}static slerpFlat(e,t,r,i,a,s,o){let l=r[i+0],u=r[i+1],c=r[i+2],h=r[i+3];const p=a[s+0],d=a[s+1],m=a[s+2],y=a[s+3];if(o===0){e[t+0]=l,e[t+1]=u,e[t+2]=c,e[t+3]=h;return}if(o===1){e[t+0]=p,e[t+1]=d,e[t+2]=m,e[t+3]=y;return}if(h!==y||l!==p||u!==d||c!==m){let g=1-o;const _=l*p+u*d+c*m+h*y,w=_>=0?1:-1,b=1-_*_;if(b>Number.EPSILON){const T=Math.sqrt(b),I=Math.atan2(T,_*w);g=Math.sin(g*I)/T,o=Math.sin(o*I)/T}const E=o*w;if(l=l*g+p*E,u=u*g+d*E,c=c*g+m*E,h=h*g+y*E,g===1-o){const T=1/Math.sqrt(l*l+u*u+c*c+h*h);l*=T,u*=T,c*=T,h*=T}}e[t]=l,e[t+1]=u,e[t+2]=c,e[t+3]=h}static multiplyQuaternionsFlat(e,t,r,i,a,s){const o=r[i],l=r[i+1],u=r[i+2],c=r[i+3],h=a[s],p=a[s+1],d=a[s+2],m=a[s+3];return e[t]=o*m+c*h+l*d-u*p,e[t+1]=l*m+c*p+u*h-o*d,e[t+2]=u*m+c*d+o*p-l*h,e[t+3]=c*m-o*h-l*p-u*d,e}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get w(){return this._w}set w(e){this._w=e,this._onChangeCallback()}set(e,t,r,i){return this._x=e,this._y=t,this._z=r,this._w=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._w)}copy(e){return this._x=e.x,this._y=e.y,this._z=e.z,this._w=e.w,this._onChangeCallback(),this}setFromEuler(e,t=!0){const r=e._x,i=e._y,a=e._z,s=e._order,o=Math.cos,l=Math.sin,u=o(r/2),c=o(i/2),h=o(a/2),p=l(r/2),d=l(i/2),m=l(a/2);switch(s){case"XYZ":this._x=p*c*h+u*d*m,this._y=u*d*h-p*c*m,this._z=u*c*m+p*d*h,this._w=u*c*h-p*d*m;break;case"YXZ":this._x=p*c*h+u*d*m,this._y=u*d*h-p*c*m,this._z=u*c*m-p*d*h,this._w=u*c*h+p*d*m;break;case"ZXY":this._x=p*c*h-u*d*m,this._y=u*d*h+p*c*m,this._z=u*c*m+p*d*h,this._w=u*c*h-p*d*m;break;case"ZYX":this._x=p*c*h-u*d*m,this._y=u*d*h+p*c*m,this._z=u*c*m-p*d*h,this._w=u*c*h+p*d*m;break;case"YZX":this._x=p*c*h+u*d*m,this._y=u*d*h+p*c*m,this._z=u*c*m-p*d*h,this._w=u*c*h-p*d*m;break;case"XZY":this._x=p*c*h-u*d*m,this._y=u*d*h-p*c*m,this._z=u*c*m+p*d*h,this._w=u*c*h+p*d*m;break;default:console.warn("THREE.Quaternion: .setFromEuler() encountered an unknown order: "+s)}return t===!0&&this._onChangeCallback(),this}setFromAxisAngle(e,t){const r=t/2,i=Math.sin(r);return this._x=e.x*i,this._y=e.y*i,this._z=e.z*i,this._w=Math.cos(r),this._onChangeCallback(),this}setFromRotationMatrix(e){const t=e.elements,r=t[0],i=t[4],a=t[8],s=t[1],o=t[5],l=t[9],u=t[2],c=t[6],h=t[10],p=r+o+h;if(p>0){const d=.5/Math.sqrt(p+1);this._w=.25/d,this._x=(c-l)*d,this._y=(a-u)*d,this._z=(s-i)*d}else if(r>o&&r>h){const d=2*Math.sqrt(1+r-o-h);this._w=(c-l)/d,this._x=.25*d,this._y=(i+s)/d,this._z=(a+u)/d}else if(o>h){const d=2*Math.sqrt(1+o-r-h);this._w=(a-u)/d,this._x=(i+s)/d,this._y=.25*d,this._z=(l+c)/d}else{const d=2*Math.sqrt(1+h-r-o);this._w=(s-i)/d,this._x=(a+u)/d,this._y=(l+c)/d,this._z=.25*d}return this._onChangeCallback(),this}setFromUnitVectors(e,t){let r=e.dot(t)+1;return r<Number.EPSILON?(r=0,Math.abs(e.x)>Math.abs(e.z)?(this._x=-e.y,this._y=e.x,this._z=0,this._w=r):(this._x=0,this._y=-e.z,this._z=e.y,this._w=r)):(this._x=e.y*t.z-e.z*t.y,this._y=e.z*t.x-e.x*t.z,this._z=e.x*t.y-e.y*t.x,this._w=r),this.normalize()}angleTo(e){return 2*Math.acos(Math.abs(Ln(this.dot(e),-1,1)))}rotateTowards(e,t){const r=this.angleTo(e);if(r===0)return this;const i=Math.min(1,t/r);return this.slerp(e,i),this}identity(){return this.set(0,0,0,1)}invert(){return this.conjugate()}conjugate(){return this._x*=-1,this._y*=-1,this._z*=-1,this._onChangeCallback(),this}dot(e){return this._x*e._x+this._y*e._y+this._z*e._z+this._w*e._w}lengthSq(){return this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w}length(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)}normalize(){let e=this.length();return e===0?(this._x=0,this._y=0,this._z=0,this._w=1):(e=1/e,this._x=this._x*e,this._y=this._y*e,this._z=this._z*e,this._w=this._w*e),this._onChangeCallback(),this}multiply(e){return this.multiplyQuaternions(this,e)}premultiply(e){return this.multiplyQuaternions(e,this)}multiplyQuaternions(e,t){const r=e._x,i=e._y,a=e._z,s=e._w,o=t._x,l=t._y,u=t._z,c=t._w;return this._x=r*c+s*o+i*u-a*l,this._y=i*c+s*l+a*o-r*u,this._z=a*c+s*u+r*l-i*o,this._w=s*c-r*o-i*l-a*u,this._onChangeCallback(),this}slerp(e,t){if(t===0)return this;if(t===1)return this.copy(e);const r=this._x,i=this._y,a=this._z,s=this._w;let o=s*e._w+r*e._x+i*e._y+a*e._z;if(o<0?(this._w=-e._w,this._x=-e._x,this._y=-e._y,this._z=-e._z,o=-o):this.copy(e),o>=1)return this._w=s,this._x=r,this._y=i,this._z=a,this;const l=1-o*o;if(l<=Number.EPSILON){const d=1-t;return this._w=d*s+t*this._w,this._x=d*r+t*this._x,this._y=d*i+t*this._y,this._z=d*a+t*this._z,this.normalize(),this}const u=Math.sqrt(l),c=Math.atan2(u,o),h=Math.sin((1-t)*c)/u,p=Math.sin(t*c)/u;return this._w=s*h+this._w*p,this._x=r*h+this._x*p,this._y=i*h+this._y*p,this._z=a*h+this._z*p,this._onChangeCallback(),this}slerpQuaternions(e,t,r){return this.copy(e).slerp(t,r)}random(){const e=Math.random(),t=Math.sqrt(1-e),r=Math.sqrt(e),i=2*Math.PI*Math.random(),a=2*Math.PI*Math.random();return this.set(t*Math.cos(i),r*Math.sin(a),r*Math.cos(a),t*Math.sin(i))}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._w===this._w}fromArray(e,t=0){return this._x=e[t],this._y=e[t+1],this._z=e[t+2],this._w=e[t+3],this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._w,e}fromBufferAttribute(e,t){return this._x=e.getX(t),this._y=e.getY(t),this._z=e.getZ(t),this._w=e.getW(t),this._onChangeCallback(),this}toJSON(){return this.toArray()}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._w}}class re{constructor(e=0,t=0,r=0){re.prototype.isVector3=!0,this.x=e,this.y=t,this.z=r}set(e,t,r){return r===void 0&&(r=this.z),this.x=e,this.y=t,this.z=r,this}setScalar(e){return this.x=e,this.y=e,this.z=e,this}setX(e){return this.x=e,this}setY(e){return this.y=e,this}setZ(e){return this.z=e,this}setComponent(e,t){switch(e){case 0:this.x=t;break;case 1:this.y=t;break;case 2:this.z=t;break;default:throw new Error("index is out of range: "+e)}return this}getComponent(e){switch(e){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw new Error("index is out of range: "+e)}}clone(){return new this.constructor(this.x,this.y,this.z)}copy(e){return this.x=e.x,this.y=e.y,this.z=e.z,this}add(e){return this.x+=e.x,this.y+=e.y,this.z+=e.z,this}addScalar(e){return this.x+=e,this.y+=e,this.z+=e,this}addVectors(e,t){return this.x=e.x+t.x,this.y=e.y+t.y,this.z=e.z+t.z,this}addScaledVector(e,t){return this.x+=e.x*t,this.y+=e.y*t,this.z+=e.z*t,this}sub(e){return this.x-=e.x,this.y-=e.y,this.z-=e.z,this}subScalar(e){return this.x-=e,this.y-=e,this.z-=e,this}subVectors(e,t){return this.x=e.x-t.x,this.y=e.y-t.y,this.z=e.z-t.z,this}multiply(e){return this.x*=e.x,this.y*=e.y,this.z*=e.z,this}multiplyScalar(e){return this.x*=e,this.y*=e,this.z*=e,this}multiplyVectors(e,t){return this.x=e.x*t.x,this.y=e.y*t.y,this.z=e.z*t.z,this}applyEuler(e){return this.applyQuaternion(Zg.setFromEuler(e))}applyAxisAngle(e,t){return this.applyQuaternion(Zg.setFromAxisAngle(e,t))}applyMatrix3(e){const t=this.x,r=this.y,i=this.z,a=e.elements;return this.x=a[0]*t+a[3]*r+a[6]*i,this.y=a[1]*t+a[4]*r+a[7]*i,this.z=a[2]*t+a[5]*r+a[8]*i,this}applyNormalMatrix(e){return this.applyMatrix3(e).normalize()}applyMatrix4(e){const t=this.x,r=this.y,i=this.z,a=e.elements,s=1/(a[3]*t+a[7]*r+a[11]*i+a[15]);return this.x=(a[0]*t+a[4]*r+a[8]*i+a[12])*s,this.y=(a[1]*t+a[5]*r+a[9]*i+a[13])*s,this.z=(a[2]*t+a[6]*r+a[10]*i+a[14])*s,this}applyQuaternion(e){const t=this.x,r=this.y,i=this.z,a=e.x,s=e.y,o=e.z,l=e.w,u=2*(s*i-o*r),c=2*(o*t-a*i),h=2*(a*r-s*t);return this.x=t+l*u+s*h-o*c,this.y=r+l*c+o*u-a*h,this.z=i+l*h+a*c-s*u,this}project(e){return this.applyMatrix4(e.matrixWorldInverse).applyMatrix4(e.projectionMatrix)}unproject(e){return this.applyMatrix4(e.projectionMatrixInverse).applyMatrix4(e.matrixWorld)}transformDirection(e){const t=this.x,r=this.y,i=this.z,a=e.elements;return this.x=a[0]*t+a[4]*r+a[8]*i,this.y=a[1]*t+a[5]*r+a[9]*i,this.z=a[2]*t+a[6]*r+a[10]*i,this.normalize()}divide(e){return this.x/=e.x,this.y/=e.y,this.z/=e.z,this}divideScalar(e){return this.multiplyScalar(1/e)}min(e){return this.x=Math.min(this.x,e.x),this.y=Math.min(this.y,e.y),this.z=Math.min(this.z,e.z),this}max(e){return this.x=Math.max(this.x,e.x),this.y=Math.max(this.y,e.y),this.z=Math.max(this.z,e.z),this}clamp(e,t){return this.x=Math.max(e.x,Math.min(t.x,this.x)),this.y=Math.max(e.y,Math.min(t.y,this.y)),this.z=Math.max(e.z,Math.min(t.z,this.z)),this}clampScalar(e,t){return this.x=Math.max(e,Math.min(t,this.x)),this.y=Math.max(e,Math.min(t,this.y)),this.z=Math.max(e,Math.min(t,this.z)),this}clampLength(e,t){const r=this.length();return this.divideScalar(r||1).multiplyScalar(Math.max(e,Math.min(t,r)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=Math.trunc(this.x),this.y=Math.trunc(this.y),this.z=Math.trunc(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(e){return this.x*e.x+this.y*e.y+this.z*e.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(e){return this.normalize().multiplyScalar(e)}lerp(e,t){return this.x+=(e.x-this.x)*t,this.y+=(e.y-this.y)*t,this.z+=(e.z-this.z)*t,this}lerpVectors(e,t,r){return this.x=e.x+(t.x-e.x)*r,this.y=e.y+(t.y-e.y)*r,this.z=e.z+(t.z-e.z)*r,this}cross(e){return this.crossVectors(this,e)}crossVectors(e,t){const r=e.x,i=e.y,a=e.z,s=t.x,o=t.y,l=t.z;return this.x=i*l-a*o,this.y=a*s-r*l,this.z=r*o-i*s,this}projectOnVector(e){const t=e.lengthSq();if(t===0)return this.set(0,0,0);const r=e.dot(this)/t;return this.copy(e).multiplyScalar(r)}projectOnPlane(e){return _c.copy(this).projectOnVector(e),this.sub(_c)}reflect(e){return this.sub(_c.copy(e).multiplyScalar(2*this.dot(e)))}angleTo(e){const t=Math.sqrt(this.lengthSq()*e.lengthSq());if(t===0)return Math.PI/2;const r=this.dot(e)/t;return Math.acos(Ln(r,-1,1))}distanceTo(e){return Math.sqrt(this.distanceToSquared(e))}distanceToSquared(e){const t=this.x-e.x,r=this.y-e.y,i=this.z-e.z;return t*t+r*r+i*i}manhattanDistanceTo(e){return Math.abs(this.x-e.x)+Math.abs(this.y-e.y)+Math.abs(this.z-e.z)}setFromSpherical(e){return this.setFromSphericalCoords(e.radius,e.phi,e.theta)}setFromSphericalCoords(e,t,r){const i=Math.sin(t)*e;return this.x=i*Math.sin(r),this.y=Math.cos(t)*e,this.z=i*Math.cos(r),this}setFromCylindrical(e){return this.setFromCylindricalCoords(e.radius,e.theta,e.y)}setFromCylindricalCoords(e,t,r){return this.x=e*Math.sin(t),this.y=r,this.z=e*Math.cos(t),this}setFromMatrixPosition(e){const t=e.elements;return this.x=t[12],this.y=t[13],this.z=t[14],this}setFromMatrixScale(e){const t=this.setFromMatrixColumn(e,0).length(),r=this.setFromMatrixColumn(e,1).length(),i=this.setFromMatrixColumn(e,2).length();return this.x=t,this.y=r,this.z=i,this}setFromMatrixColumn(e,t){return this.fromArray(e.elements,t*4)}setFromMatrix3Column(e,t){return this.fromArray(e.elements,t*3)}setFromEuler(e){return this.x=e._x,this.y=e._y,this.z=e._z,this}setFromColor(e){return this.x=e.r,this.y=e.g,this.z=e.b,this}equals(e){return e.x===this.x&&e.y===this.y&&e.z===this.z}fromArray(e,t=0){return this.x=e[t],this.y=e[t+1],this.z=e[t+2],this}toArray(e=[],t=0){return e[t]=this.x,e[t+1]=this.y,e[t+2]=this.z,e}fromBufferAttribute(e,t){return this.x=e.getX(t),this.y=e.getY(t),this.z=e.getZ(t),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){const e=(Math.random()-.5)*2,t=Math.random()*Math.PI*2,r=Math.sqrt(1-e**2);return this.x=r*Math.cos(t),this.y=r*Math.sin(t),this.z=e,this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}}const _c=new re,Zg=new ya;class Mo{constructor(e=new re(1/0,1/0,1/0),t=new re(-1/0,-1/0,-1/0)){this.isBox3=!0,this.min=e,this.max=t}set(e,t){return this.min.copy(e),this.max.copy(t),this}setFromArray(e){this.makeEmpty();for(let t=0,r=e.length;t<r;t+=3)this.expandByPoint($r.fromArray(e,t));return this}setFromBufferAttribute(e){this.makeEmpty();for(let t=0,r=e.count;t<r;t++)this.expandByPoint($r.fromBufferAttribute(e,t));return this}setFromPoints(e){this.makeEmpty();for(let t=0,r=e.length;t<r;t++)this.expandByPoint(e[t]);return this}setFromCenterAndSize(e,t){const r=$r.copy(t).multiplyScalar(.5);return this.min.copy(e).sub(r),this.max.copy(e).add(r),this}setFromObject(e,t=!1){return this.makeEmpty(),this.expandByObject(e,t)}clone(){return new this.constructor().copy(this)}copy(e){return this.min.copy(e.min),this.max.copy(e.max),this}makeEmpty(){return this.min.x=this.min.y=this.min.z=1/0,this.max.x=this.max.y=this.max.z=-1/0,this}isEmpty(){return this.max.x<this.min.x||this.max.y<this.min.y||this.max.z<this.min.z}getCenter(e){return this.isEmpty()?e.set(0,0,0):e.addVectors(this.min,this.max).multiplyScalar(.5)}getSize(e){return this.isEmpty()?e.set(0,0,0):e.subVectors(this.max,this.min)}expandByPoint(e){return this.min.min(e),this.max.max(e),this}expandByVector(e){return this.min.sub(e),this.max.add(e),this}expandByScalar(e){return this.min.addScalar(-e),this.max.addScalar(e),this}expandByObject(e,t=!1){e.updateWorldMatrix(!1,!1);const r=e.geometry;if(r!==void 0){const a=r.getAttribute("position");if(t===!0&&a!==void 0&&e.isInstancedMesh!==!0)for(let s=0,o=a.count;s<o;s++)e.isMesh===!0?e.getVertexPosition(s,$r):$r.fromBufferAttribute(a,s),$r.applyMatrix4(e.matrixWorld),this.expandByPoint($r);else e.boundingBox!==void 0?(e.boundingBox===null&&e.computeBoundingBox(),Ko.copy(e.boundingBox)):(r.boundingBox===null&&r.computeBoundingBox(),Ko.copy(r.boundingBox)),Ko.applyMatrix4(e.matrixWorld),this.union(Ko)}const i=e.children;for(let a=0,s=i.length;a<s;a++)this.expandByObject(i[a],t);return this}containsPoint(e){return!(e.x<this.min.x||e.x>this.max.x||e.y<this.min.y||e.y>this.max.y||e.z<this.min.z||e.z>this.max.z)}containsBox(e){return this.min.x<=e.min.x&&e.max.x<=this.max.x&&this.min.y<=e.min.y&&e.max.y<=this.max.y&&this.min.z<=e.min.z&&e.max.z<=this.max.z}getParameter(e,t){return t.set((e.x-this.min.x)/(this.max.x-this.min.x),(e.y-this.min.y)/(this.max.y-this.min.y),(e.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(e){return!(e.max.x<this.min.x||e.min.x>this.max.x||e.max.y<this.min.y||e.min.y>this.max.y||e.max.z<this.min.z||e.min.z>this.max.z)}intersectsSphere(e){return this.clampPoint(e.center,$r),$r.distanceToSquared(e.center)<=e.radius*e.radius}intersectsPlane(e){let t,r;return e.normal.x>0?(t=e.normal.x*this.min.x,r=e.normal.x*this.max.x):(t=e.normal.x*this.max.x,r=e.normal.x*this.min.x),e.normal.y>0?(t+=e.normal.y*this.min.y,r+=e.normal.y*this.max.y):(t+=e.normal.y*this.max.y,r+=e.normal.y*this.min.y),e.normal.z>0?(t+=e.normal.z*this.min.z,r+=e.normal.z*this.max.z):(t+=e.normal.z*this.max.z,r+=e.normal.z*this.min.z),t<=-e.constant&&r>=-e.constant}intersectsTriangle(e){if(this.isEmpty())return!1;this.getCenter(ks),Zo.subVectors(this.max,ks),za.subVectors(e.a,ks),Na.subVectors(e.b,ks),Ua.subVectors(e.c,ks),Ei.subVectors(Na,za),Mi.subVectors(Ua,Na),Xi.subVectors(za,Ua);let t=[0,-Ei.z,Ei.y,0,-Mi.z,Mi.y,0,-Xi.z,Xi.y,Ei.z,0,-Ei.x,Mi.z,0,-Mi.x,Xi.z,0,-Xi.x,-Ei.y,Ei.x,0,-Mi.y,Mi.x,0,-Xi.y,Xi.x,0];return!yc(t,za,Na,Ua,Zo)||(t=[1,0,0,0,1,0,0,0,1],!yc(t,za,Na,Ua,Zo))?!1:(Qo.crossVectors(Ei,Mi),t=[Qo.x,Qo.y,Qo.z],yc(t,za,Na,Ua,Zo))}clampPoint(e,t){return t.copy(e).clamp(this.min,this.max)}distanceToPoint(e){return this.clampPoint(e,$r).distanceTo(e)}getBoundingSphere(e){return this.isEmpty()?e.makeEmpty():(this.getCenter(e.center),e.radius=this.getSize($r).length()*.5),e}intersect(e){return this.min.max(e.min),this.max.min(e.max),this.isEmpty()&&this.makeEmpty(),this}union(e){return this.min.min(e.min),this.max.max(e.max),this}applyMatrix4(e){return this.isEmpty()?this:(ri[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(e),ri[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(e),ri[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(e),ri[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(e),ri[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(e),ri[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(e),ri[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(e),ri[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(e),this.setFromPoints(ri),this)}translate(e){return this.min.add(e),this.max.add(e),this}equals(e){return e.min.equals(this.min)&&e.max.equals(this.max)}}const ri=[new re,new re,new re,new re,new re,new re,new re,new re],$r=new re,Ko=new Mo,za=new re,Na=new re,Ua=new re,Ei=new re,Mi=new re,Xi=new re,ks=new re,Zo=new re,Qo=new re,Yi=new re;function yc(n,e,t,r,i){for(let a=0,s=n.length-3;a<=s;a+=3){Yi.fromArray(n,a);const o=i.x*Math.abs(Yi.x)+i.y*Math.abs(Yi.y)+i.z*Math.abs(Yi.z),l=e.dot(Yi),u=t.dot(Yi),c=r.dot(Yi);if(Math.max(-Math.max(l,u,c),Math.min(l,u,c))>o)return!1}return!0}const FP=new Mo,Os=new re,vc=new re;class ah{constructor(e=new re,t=-1){this.isSphere=!0,this.center=e,this.radius=t}set(e,t){return this.center.copy(e),this.radius=t,this}setFromPoints(e,t){const r=this.center;t!==void 0?r.copy(t):FP.setFromPoints(e).getCenter(r);let i=0;for(let a=0,s=e.length;a<s;a++)i=Math.max(i,r.distanceToSquared(e[a]));return this.radius=Math.sqrt(i),this}copy(e){return this.center.copy(e.center),this.radius=e.radius,this}isEmpty(){return this.radius<0}makeEmpty(){return this.center.set(0,0,0),this.radius=-1,this}containsPoint(e){return e.distanceToSquared(this.center)<=this.radius*this.radius}distanceToPoint(e){return e.distanceTo(this.center)-this.radius}intersectsSphere(e){const t=this.radius+e.radius;return e.center.distanceToSquared(this.center)<=t*t}intersectsBox(e){return e.intersectsSphere(this)}intersectsPlane(e){return Math.abs(e.distanceToPoint(this.center))<=this.radius}clampPoint(e,t){const r=this.center.distanceToSquared(e);return t.copy(e),r>this.radius*this.radius&&(t.sub(this.center).normalize(),t.multiplyScalar(this.radius).add(this.center)),t}getBoundingBox(e){return this.isEmpty()?(e.makeEmpty(),e):(e.set(this.center,this.center),e.expandByScalar(this.radius),e)}applyMatrix4(e){return this.center.applyMatrix4(e),this.radius=this.radius*e.getMaxScaleOnAxis(),this}translate(e){return this.center.add(e),this}expandByPoint(e){if(this.isEmpty())return this.center.copy(e),this.radius=0,this;Os.subVectors(e,this.center);const t=Os.lengthSq();if(t>this.radius*this.radius){const r=Math.sqrt(t),i=(r-this.radius)*.5;this.center.addScaledVector(Os,i/r),this.radius+=i}return this}union(e){return e.isEmpty()?this:this.isEmpty()?(this.copy(e),this):(this.center.equals(e.center)===!0?this.radius=Math.max(this.radius,e.radius):(vc.subVectors(e.center,this.center).setLength(e.radius),this.expandByPoint(Os.copy(e.center).add(vc)),this.expandByPoint(Os.copy(e.center).sub(vc))),this)}equals(e){return e.center.equals(this.center)&&e.radius===this.radius}clone(){return new this.constructor().copy(this)}}const ii=new re,wc=new re,Jo=new re,Ti=new re,bc=new re,el=new re,xc=new re;class kx{constructor(e=new re,t=new re(0,0,-1)){this.origin=e,this.direction=t}set(e,t){return this.origin.copy(e),this.direction.copy(t),this}copy(e){return this.origin.copy(e.origin),this.direction.copy(e.direction),this}at(e,t){return t.copy(this.origin).addScaledVector(this.direction,e)}lookAt(e){return this.direction.copy(e).sub(this.origin).normalize(),this}recast(e){return this.origin.copy(this.at(e,ii)),this}closestPointToPoint(e,t){t.subVectors(e,this.origin);const r=t.dot(this.direction);return r<0?t.copy(this.origin):t.copy(this.origin).addScaledVector(this.direction,r)}distanceToPoint(e){return Math.sqrt(this.distanceSqToPoint(e))}distanceSqToPoint(e){const t=ii.subVectors(e,this.origin).dot(this.direction);return t<0?this.origin.distanceToSquared(e):(ii.copy(this.origin).addScaledVector(this.direction,t),ii.distanceToSquared(e))}distanceSqToSegment(e,t,r,i){wc.copy(e).add(t).multiplyScalar(.5),Jo.copy(t).sub(e).normalize(),Ti.copy(this.origin).sub(wc);const a=e.distanceTo(t)*.5,s=-this.direction.dot(Jo),o=Ti.dot(this.direction),l=-Ti.dot(Jo),u=Ti.lengthSq(),c=Math.abs(1-s*s);let h,p,d,m;if(c>0)if(h=s*l-o,p=s*o-l,m=a*c,h>=0)if(p>=-m)if(p<=m){const y=1/c;h*=y,p*=y,d=h*(h+s*p+2*o)+p*(s*h+p+2*l)+u}else p=a,h=Math.max(0,-(s*p+o)),d=-h*h+p*(p+2*l)+u;else p=-a,h=Math.max(0,-(s*p+o)),d=-h*h+p*(p+2*l)+u;else p<=-m?(h=Math.max(0,-(-s*a+o)),p=h>0?-a:Math.min(Math.max(-a,-l),a),d=-h*h+p*(p+2*l)+u):p<=m?(h=0,p=Math.min(Math.max(-a,-l),a),d=p*(p+2*l)+u):(h=Math.max(0,-(s*a+o)),p=h>0?a:Math.min(Math.max(-a,-l),a),d=-h*h+p*(p+2*l)+u);else p=s>0?-a:a,h=Math.max(0,-(s*p+o)),d=-h*h+p*(p+2*l)+u;return r&&r.copy(this.origin).addScaledVector(this.direction,h),i&&i.copy(wc).addScaledVector(Jo,p),d}intersectSphere(e,t){ii.subVectors(e.center,this.origin);const r=ii.dot(this.direction),i=ii.dot(ii)-r*r,a=e.radius*e.radius;if(i>a)return null;const s=Math.sqrt(a-i),o=r-s,l=r+s;return l<0?null:o<0?this.at(l,t):this.at(o,t)}intersectsSphere(e){return this.distanceSqToPoint(e.center)<=e.radius*e.radius}distanceToPlane(e){const t=e.normal.dot(this.direction);if(t===0)return e.distanceToPoint(this.origin)===0?0:null;const r=-(this.origin.dot(e.normal)+e.constant)/t;return r>=0?r:null}intersectPlane(e,t){const r=this.distanceToPlane(e);return r===null?null:this.at(r,t)}intersectsPlane(e){const t=e.distanceToPoint(this.origin);return t===0||e.normal.dot(this.direction)*t<0}intersectBox(e,t){let r,i,a,s,o,l;const u=1/this.direction.x,c=1/this.direction.y,h=1/this.direction.z,p=this.origin;return u>=0?(r=(e.min.x-p.x)*u,i=(e.max.x-p.x)*u):(r=(e.max.x-p.x)*u,i=(e.min.x-p.x)*u),c>=0?(a=(e.min.y-p.y)*c,s=(e.max.y-p.y)*c):(a=(e.max.y-p.y)*c,s=(e.min.y-p.y)*c),r>s||a>i||((a>r||isNaN(r))&&(r=a),(s<i||isNaN(i))&&(i=s),h>=0?(o=(e.min.z-p.z)*h,l=(e.max.z-p.z)*h):(o=(e.max.z-p.z)*h,l=(e.min.z-p.z)*h),r>l||o>i)||((o>r||r!==r)&&(r=o),(l<i||i!==i)&&(i=l),i<0)?null:this.at(r>=0?r:i,t)}intersectsBox(e){return this.intersectBox(e,ii)!==null}intersectTriangle(e,t,r,i,a){bc.subVectors(t,e),el.subVectors(r,e),xc.crossVectors(bc,el);let s=this.direction.dot(xc),o;if(s>0){if(i)return null;o=1}else if(s<0)o=-1,s=-s;else return null;Ti.subVectors(this.origin,e);const l=o*this.direction.dot(el.crossVectors(Ti,el));if(l<0)return null;const u=o*this.direction.dot(bc.cross(Ti));if(u<0||l+u>s)return null;const c=-o*Ti.dot(xc);return c<0?null:this.at(c/s,a)}applyMatrix4(e){return this.origin.applyMatrix4(e),this.direction.transformDirection(e),this}equals(e){return e.origin.equals(this.origin)&&e.direction.equals(this.direction)}clone(){return new this.constructor().copy(this)}}class In{constructor(e,t,r,i,a,s,o,l,u,c,h,p,d,m,y,g){In.prototype.isMatrix4=!0,this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],e!==void 0&&this.set(e,t,r,i,a,s,o,l,u,c,h,p,d,m,y,g)}set(e,t,r,i,a,s,o,l,u,c,h,p,d,m,y,g){const _=this.elements;return _[0]=e,_[4]=t,_[8]=r,_[12]=i,_[1]=a,_[5]=s,_[9]=o,_[13]=l,_[2]=u,_[6]=c,_[10]=h,_[14]=p,_[3]=d,_[7]=m,_[11]=y,_[15]=g,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return new In().fromArray(this.elements)}copy(e){const t=this.elements,r=e.elements;return t[0]=r[0],t[1]=r[1],t[2]=r[2],t[3]=r[3],t[4]=r[4],t[5]=r[5],t[6]=r[6],t[7]=r[7],t[8]=r[8],t[9]=r[9],t[10]=r[10],t[11]=r[11],t[12]=r[12],t[13]=r[13],t[14]=r[14],t[15]=r[15],this}copyPosition(e){const t=this.elements,r=e.elements;return t[12]=r[12],t[13]=r[13],t[14]=r[14],this}setFromMatrix3(e){const t=e.elements;return this.set(t[0],t[3],t[6],0,t[1],t[4],t[7],0,t[2],t[5],t[8],0,0,0,0,1),this}extractBasis(e,t,r){return e.setFromMatrixColumn(this,0),t.setFromMatrixColumn(this,1),r.setFromMatrixColumn(this,2),this}makeBasis(e,t,r){return this.set(e.x,t.x,r.x,0,e.y,t.y,r.y,0,e.z,t.z,r.z,0,0,0,0,1),this}extractRotation(e){const t=this.elements,r=e.elements,i=1/Ba.setFromMatrixColumn(e,0).length(),a=1/Ba.setFromMatrixColumn(e,1).length(),s=1/Ba.setFromMatrixColumn(e,2).length();return t[0]=r[0]*i,t[1]=r[1]*i,t[2]=r[2]*i,t[3]=0,t[4]=r[4]*a,t[5]=r[5]*a,t[6]=r[6]*a,t[7]=0,t[8]=r[8]*s,t[9]=r[9]*s,t[10]=r[10]*s,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromEuler(e){const t=this.elements,r=e.x,i=e.y,a=e.z,s=Math.cos(r),o=Math.sin(r),l=Math.cos(i),u=Math.sin(i),c=Math.cos(a),h=Math.sin(a);if(e.order==="XYZ"){const p=s*c,d=s*h,m=o*c,y=o*h;t[0]=l*c,t[4]=-l*h,t[8]=u,t[1]=d+m*u,t[5]=p-y*u,t[9]=-o*l,t[2]=y-p*u,t[6]=m+d*u,t[10]=s*l}else if(e.order==="YXZ"){const p=l*c,d=l*h,m=u*c,y=u*h;t[0]=p+y*o,t[4]=m*o-d,t[8]=s*u,t[1]=s*h,t[5]=s*c,t[9]=-o,t[2]=d*o-m,t[6]=y+p*o,t[10]=s*l}else if(e.order==="ZXY"){const p=l*c,d=l*h,m=u*c,y=u*h;t[0]=p-y*o,t[4]=-s*h,t[8]=m+d*o,t[1]=d+m*o,t[5]=s*c,t[9]=y-p*o,t[2]=-s*u,t[6]=o,t[10]=s*l}else if(e.order==="ZYX"){const p=s*c,d=s*h,m=o*c,y=o*h;t[0]=l*c,t[4]=m*u-d,t[8]=p*u+y,t[1]=l*h,t[5]=y*u+p,t[9]=d*u-m,t[2]=-u,t[6]=o*l,t[10]=s*l}else if(e.order==="YZX"){const p=s*l,d=s*u,m=o*l,y=o*u;t[0]=l*c,t[4]=y-p*h,t[8]=m*h+d,t[1]=h,t[5]=s*c,t[9]=-o*c,t[2]=-u*c,t[6]=d*h+m,t[10]=p-y*h}else if(e.order==="XZY"){const p=s*l,d=s*u,m=o*l,y=o*u;t[0]=l*c,t[4]=-h,t[8]=u*c,t[1]=p*h+y,t[5]=s*c,t[9]=d*h-m,t[2]=m*h-d,t[6]=o*c,t[10]=y*h+p}return t[3]=0,t[7]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,this}makeRotationFromQuaternion(e){return this.compose(GP,e,WP)}lookAt(e,t,r){const i=this.elements;return sr.subVectors(e,t),sr.lengthSq()===0&&(sr.z=1),sr.normalize(),Ai.crossVectors(r,sr),Ai.lengthSq()===0&&(Math.abs(r.z)===1?sr.x+=1e-4:sr.z+=1e-4,sr.normalize(),Ai.crossVectors(r,sr)),Ai.normalize(),tl.crossVectors(sr,Ai),i[0]=Ai.x,i[4]=tl.x,i[8]=sr.x,i[1]=Ai.y,i[5]=tl.y,i[9]=sr.y,i[2]=Ai.z,i[6]=tl.z,i[10]=sr.z,this}multiply(e){return this.multiplyMatrices(this,e)}premultiply(e){return this.multiplyMatrices(e,this)}multiplyMatrices(e,t){const r=e.elements,i=t.elements,a=this.elements,s=r[0],o=r[4],l=r[8],u=r[12],c=r[1],h=r[5],p=r[9],d=r[13],m=r[2],y=r[6],g=r[10],_=r[14],w=r[3],b=r[7],E=r[11],T=r[15],I=i[0],C=i[4],B=i[8],R=i[12],k=i[1],j=i[5],Q=i[9],ie=i[13],F=i[2],$=i[6],L=i[10],H=i[14],K=i[3],X=i[7],J=i[11],W=i[15];return a[0]=s*I+o*k+l*F+u*K,a[4]=s*C+o*j+l*$+u*X,a[8]=s*B+o*Q+l*L+u*J,a[12]=s*R+o*ie+l*H+u*W,a[1]=c*I+h*k+p*F+d*K,a[5]=c*C+h*j+p*$+d*X,a[9]=c*B+h*Q+p*L+d*J,a[13]=c*R+h*ie+p*H+d*W,a[2]=m*I+y*k+g*F+_*K,a[6]=m*C+y*j+g*$+_*X,a[10]=m*B+y*Q+g*L+_*J,a[14]=m*R+y*ie+g*H+_*W,a[3]=w*I+b*k+E*F+T*K,a[7]=w*C+b*j+E*$+T*X,a[11]=w*B+b*Q+E*L+T*J,a[15]=w*R+b*ie+E*H+T*W,this}multiplyScalar(e){const t=this.elements;return t[0]*=e,t[4]*=e,t[8]*=e,t[12]*=e,t[1]*=e,t[5]*=e,t[9]*=e,t[13]*=e,t[2]*=e,t[6]*=e,t[10]*=e,t[14]*=e,t[3]*=e,t[7]*=e,t[11]*=e,t[15]*=e,this}determinant(){const e=this.elements,t=e[0],r=e[4],i=e[8],a=e[12],s=e[1],o=e[5],l=e[9],u=e[13],c=e[2],h=e[6],p=e[10],d=e[14],m=e[3],y=e[7],g=e[11],_=e[15];return m*(+a*l*h-i*u*h-a*o*p+r*u*p+i*o*d-r*l*d)+y*(+t*l*d-t*u*p+a*s*p-i*s*d+i*u*c-a*l*c)+g*(+t*u*h-t*o*d-a*s*h+r*s*d+a*o*c-r*u*c)+_*(-i*o*c-t*l*h+t*o*p+i*s*h-r*s*p+r*l*c)}transpose(){const e=this.elements;let t;return t=e[1],e[1]=e[4],e[4]=t,t=e[2],e[2]=e[8],e[8]=t,t=e[6],e[6]=e[9],e[9]=t,t=e[3],e[3]=e[12],e[12]=t,t=e[7],e[7]=e[13],e[13]=t,t=e[11],e[11]=e[14],e[14]=t,this}setPosition(e,t,r){const i=this.elements;return e.isVector3?(i[12]=e.x,i[13]=e.y,i[14]=e.z):(i[12]=e,i[13]=t,i[14]=r),this}invert(){const e=this.elements,t=e[0],r=e[1],i=e[2],a=e[3],s=e[4],o=e[5],l=e[6],u=e[7],c=e[8],h=e[9],p=e[10],d=e[11],m=e[12],y=e[13],g=e[14],_=e[15],w=h*g*u-y*p*u+y*l*d-o*g*d-h*l*_+o*p*_,b=m*p*u-c*g*u-m*l*d+s*g*d+c*l*_-s*p*_,E=c*y*u-m*h*u+m*o*d-s*y*d-c*o*_+s*h*_,T=m*h*l-c*y*l-m*o*p+s*y*p+c*o*g-s*h*g,I=t*w+r*b+i*E+a*T;if(I===0)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const C=1/I;return e[0]=w*C,e[1]=(y*p*a-h*g*a-y*i*d+r*g*d+h*i*_-r*p*_)*C,e[2]=(o*g*a-y*l*a+y*i*u-r*g*u-o*i*_+r*l*_)*C,e[3]=(h*l*a-o*p*a-h*i*u+r*p*u+o*i*d-r*l*d)*C,e[4]=b*C,e[5]=(c*g*a-m*p*a+m*i*d-t*g*d-c*i*_+t*p*_)*C,e[6]=(m*l*a-s*g*a-m*i*u+t*g*u+s*i*_-t*l*_)*C,e[7]=(s*p*a-c*l*a+c*i*u-t*p*u-s*i*d+t*l*d)*C,e[8]=E*C,e[9]=(m*h*a-c*y*a-m*r*d+t*y*d+c*r*_-t*h*_)*C,e[10]=(s*y*a-m*o*a+m*r*u-t*y*u-s*r*_+t*o*_)*C,e[11]=(c*o*a-s*h*a-c*r*u+t*h*u+s*r*d-t*o*d)*C,e[12]=T*C,e[13]=(c*y*i-m*h*i+m*r*p-t*y*p-c*r*g+t*h*g)*C,e[14]=(m*o*i-s*y*i-m*r*l+t*y*l+s*r*g-t*o*g)*C,e[15]=(s*h*i-c*o*i+c*r*l-t*h*l-s*r*p+t*o*p)*C,this}scale(e){const t=this.elements,r=e.x,i=e.y,a=e.z;return t[0]*=r,t[4]*=i,t[8]*=a,t[1]*=r,t[5]*=i,t[9]*=a,t[2]*=r,t[6]*=i,t[10]*=a,t[3]*=r,t[7]*=i,t[11]*=a,this}getMaxScaleOnAxis(){const e=this.elements,t=e[0]*e[0]+e[1]*e[1]+e[2]*e[2],r=e[4]*e[4]+e[5]*e[5]+e[6]*e[6],i=e[8]*e[8]+e[9]*e[9]+e[10]*e[10];return Math.sqrt(Math.max(t,r,i))}makeTranslation(e,t,r){return e.isVector3?this.set(1,0,0,e.x,0,1,0,e.y,0,0,1,e.z,0,0,0,1):this.set(1,0,0,e,0,1,0,t,0,0,1,r,0,0,0,1),this}makeRotationX(e){const t=Math.cos(e),r=Math.sin(e);return this.set(1,0,0,0,0,t,-r,0,0,r,t,0,0,0,0,1),this}makeRotationY(e){const t=Math.cos(e),r=Math.sin(e);return this.set(t,0,r,0,0,1,0,0,-r,0,t,0,0,0,0,1),this}makeRotationZ(e){const t=Math.cos(e),r=Math.sin(e);return this.set(t,-r,0,0,r,t,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(e,t){const r=Math.cos(t),i=Math.sin(t),a=1-r,s=e.x,o=e.y,l=e.z,u=a*s,c=a*o;return this.set(u*s+r,u*o-i*l,u*l+i*o,0,u*o+i*l,c*o+r,c*l-i*s,0,u*l-i*o,c*l+i*s,a*l*l+r,0,0,0,0,1),this}makeScale(e,t,r){return this.set(e,0,0,0,0,t,0,0,0,0,r,0,0,0,0,1),this}makeShear(e,t,r,i,a,s){return this.set(1,r,a,0,e,1,s,0,t,i,1,0,0,0,0,1),this}compose(e,t,r){const i=this.elements,a=t._x,s=t._y,o=t._z,l=t._w,u=a+a,c=s+s,h=o+o,p=a*u,d=a*c,m=a*h,y=s*c,g=s*h,_=o*h,w=l*u,b=l*c,E=l*h,T=r.x,I=r.y,C=r.z;return i[0]=(1-(y+_))*T,i[1]=(d+E)*T,i[2]=(m-b)*T,i[3]=0,i[4]=(d-E)*I,i[5]=(1-(p+_))*I,i[6]=(g+w)*I,i[7]=0,i[8]=(m+b)*C,i[9]=(g-w)*C,i[10]=(1-(p+y))*C,i[11]=0,i[12]=e.x,i[13]=e.y,i[14]=e.z,i[15]=1,this}decompose(e,t,r){const i=this.elements;let a=Ba.set(i[0],i[1],i[2]).length();const s=Ba.set(i[4],i[5],i[6]).length(),o=Ba.set(i[8],i[9],i[10]).length();this.determinant()<0&&(a=-a),e.x=i[12],e.y=i[13],e.z=i[14],Rr.copy(this);const u=1/a,c=1/s,h=1/o;return Rr.elements[0]*=u,Rr.elements[1]*=u,Rr.elements[2]*=u,Rr.elements[4]*=c,Rr.elements[5]*=c,Rr.elements[6]*=c,Rr.elements[8]*=h,Rr.elements[9]*=h,Rr.elements[10]*=h,t.setFromRotationMatrix(Rr),r.x=a,r.y=s,r.z=o,this}makePerspective(e,t,r,i,a,s,o=di){const l=this.elements,u=2*a/(t-e),c=2*a/(r-i),h=(t+e)/(t-e),p=(r+i)/(r-i);let d,m;if(o===di)d=-(s+a)/(s-a),m=-2*s*a/(s-a);else if(o===Kl)d=-s/(s-a),m=-s*a/(s-a);else throw new Error("THREE.Matrix4.makePerspective(): Invalid coordinate system: "+o);return l[0]=u,l[4]=0,l[8]=h,l[12]=0,l[1]=0,l[5]=c,l[9]=p,l[13]=0,l[2]=0,l[6]=0,l[10]=d,l[14]=m,l[3]=0,l[7]=0,l[11]=-1,l[15]=0,this}makeOrthographic(e,t,r,i,a,s,o=di){const l=this.elements,u=1/(t-e),c=1/(r-i),h=1/(s-a),p=(t+e)*u,d=(r+i)*c;let m,y;if(o===di)m=(s+a)*h,y=-2*h;else if(o===Kl)m=a*h,y=-1*h;else throw new Error("THREE.Matrix4.makeOrthographic(): Invalid coordinate system: "+o);return l[0]=2*u,l[4]=0,l[8]=0,l[12]=-p,l[1]=0,l[5]=2*c,l[9]=0,l[13]=-d,l[2]=0,l[6]=0,l[10]=y,l[14]=-m,l[3]=0,l[7]=0,l[11]=0,l[15]=1,this}equals(e){const t=this.elements,r=e.elements;for(let i=0;i<16;i++)if(t[i]!==r[i])return!1;return!0}fromArray(e,t=0){for(let r=0;r<16;r++)this.elements[r]=e[r+t];return this}toArray(e=[],t=0){const r=this.elements;return e[t]=r[0],e[t+1]=r[1],e[t+2]=r[2],e[t+3]=r[3],e[t+4]=r[4],e[t+5]=r[5],e[t+6]=r[6],e[t+7]=r[7],e[t+8]=r[8],e[t+9]=r[9],e[t+10]=r[10],e[t+11]=r[11],e[t+12]=r[12],e[t+13]=r[13],e[t+14]=r[14],e[t+15]=r[15],e}}const Ba=new re,Rr=new In,GP=new re(0,0,0),WP=new re(1,1,1),Ai=new re,tl=new re,sr=new re,Qg=new In,Jg=new ya;class fu{constructor(e=0,t=0,r=0,i=fu.DEFAULT_ORDER){this.isEuler=!0,this._x=e,this._y=t,this._z=r,this._order=i}get x(){return this._x}set x(e){this._x=e,this._onChangeCallback()}get y(){return this._y}set y(e){this._y=e,this._onChangeCallback()}get z(){return this._z}set z(e){this._z=e,this._onChangeCallback()}get order(){return this._order}set order(e){this._order=e,this._onChangeCallback()}set(e,t,r,i=this._order){return this._x=e,this._y=t,this._z=r,this._order=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(e){return this._x=e._x,this._y=e._y,this._z=e._z,this._order=e._order,this._onChangeCallback(),this}setFromRotationMatrix(e,t=this._order,r=!0){const i=e.elements,a=i[0],s=i[4],o=i[8],l=i[1],u=i[5],c=i[9],h=i[2],p=i[6],d=i[10];switch(t){case"XYZ":this._y=Math.asin(Ln(o,-1,1)),Math.abs(o)<.9999999?(this._x=Math.atan2(-c,d),this._z=Math.atan2(-s,a)):(this._x=Math.atan2(p,u),this._z=0);break;case"YXZ":this._x=Math.asin(-Ln(c,-1,1)),Math.abs(c)<.9999999?(this._y=Math.atan2(o,d),this._z=Math.atan2(l,u)):(this._y=Math.atan2(-h,a),this._z=0);break;case"ZXY":this._x=Math.asin(Ln(p,-1,1)),Math.abs(p)<.9999999?(this._y=Math.atan2(-h,d),this._z=Math.atan2(-s,u)):(this._y=0,this._z=Math.atan2(l,a));break;case"ZYX":this._y=Math.asin(-Ln(h,-1,1)),Math.abs(h)<.9999999?(this._x=Math.atan2(p,d),this._z=Math.atan2(l,a)):(this._x=0,this._z=Math.atan2(-s,u));break;case"YZX":this._z=Math.asin(Ln(l,-1,1)),Math.abs(l)<.9999999?(this._x=Math.atan2(-c,u),this._y=Math.atan2(-h,a)):(this._x=0,this._y=Math.atan2(o,d));break;case"XZY":this._z=Math.asin(-Ln(s,-1,1)),Math.abs(s)<.9999999?(this._x=Math.atan2(p,u),this._y=Math.atan2(o,a)):(this._x=Math.atan2(-c,d),this._y=0);break;default:console.warn("THREE.Euler: .setFromRotationMatrix() encountered an unknown order: "+t)}return this._order=t,r===!0&&this._onChangeCallback(),this}setFromQuaternion(e,t,r){return Qg.makeRotationFromQuaternion(e),this.setFromRotationMatrix(Qg,t,r)}setFromVector3(e,t=this._order){return this.set(e.x,e.y,e.z,t)}reorder(e){return Jg.setFromEuler(this),this.setFromQuaternion(Jg,e)}equals(e){return e._x===this._x&&e._y===this._y&&e._z===this._z&&e._order===this._order}fromArray(e){return this._x=e[0],this._y=e[1],this._z=e[2],e[3]!==void 0&&(this._order=e[3]),this._onChangeCallback(),this}toArray(e=[],t=0){return e[t]=this._x,e[t+1]=this._y,e[t+2]=this._z,e[t+3]=this._order,e}_onChange(e){return this._onChangeCallback=e,this}_onChangeCallback(){}*[Symbol.iterator](){yield this._x,yield this._y,yield this._z,yield this._order}}fu.DEFAULT_ORDER="XYZ";class Ox{constructor(){this.mask=1}set(e){this.mask=(1<<e|0)>>>0}enable(e){this.mask|=1<<e|0}enableAll(){this.mask=-1}toggle(e){this.mask^=1<<e|0}disable(e){this.mask&=~(1<<e|0)}disableAll(){this.mask=0}test(e){return(this.mask&e.mask)!==0}isEnabled(e){return(this.mask&(1<<e|0))!==0}}let VP=0;const e_=new re,Fa=new ya,ai=new In,nl=new re,Ds=new re,HP=new re,qP=new ya,t_=new re(1,0,0),n_=new re(0,1,0),r_=new re(0,0,1),jP={type:"added"},XP={type:"removed"};class ir extends Ea{constructor(){super(),this.isObject3D=!0,Object.defineProperty(this,"id",{value:VP++}),this.uuid=ws(),this.name="",this.type="Object3D",this.parent=null,this.children=[],this.up=ir.DEFAULT_UP.clone();const e=new re,t=new fu,r=new ya,i=new re(1,1,1);function a(){r.setFromEuler(t,!1)}function s(){t.setFromQuaternion(r,void 0,!1)}t._onChange(a),r._onChange(s),Object.defineProperties(this,{position:{configurable:!0,enumerable:!0,value:e},rotation:{configurable:!0,enumerable:!0,value:t},quaternion:{configurable:!0,enumerable:!0,value:r},scale:{configurable:!0,enumerable:!0,value:i},modelViewMatrix:{value:new In},normalMatrix:{value:new Lt}}),this.matrix=new In,this.matrixWorld=new In,this.matrixAutoUpdate=ir.DEFAULT_MATRIX_AUTO_UPDATE,this.matrixWorldAutoUpdate=ir.DEFAULT_MATRIX_WORLD_AUTO_UPDATE,this.matrixWorldNeedsUpdate=!1,this.layers=new Ox,this.visible=!0,this.castShadow=!1,this.receiveShadow=!1,this.frustumCulled=!0,this.renderOrder=0,this.animations=[],this.userData={}}onBeforeShadow(){}onAfterShadow(){}onBeforeRender(){}onAfterRender(){}applyMatrix4(e){this.matrixAutoUpdate&&this.updateMatrix(),this.matrix.premultiply(e),this.matrix.decompose(this.position,this.quaternion,this.scale)}applyQuaternion(e){return this.quaternion.premultiply(e),this}setRotationFromAxisAngle(e,t){this.quaternion.setFromAxisAngle(e,t)}setRotationFromEuler(e){this.quaternion.setFromEuler(e,!0)}setRotationFromMatrix(e){this.quaternion.setFromRotationMatrix(e)}setRotationFromQuaternion(e){this.quaternion.copy(e)}rotateOnAxis(e,t){return Fa.setFromAxisAngle(e,t),this.quaternion.multiply(Fa),this}rotateOnWorldAxis(e,t){return Fa.setFromAxisAngle(e,t),this.quaternion.premultiply(Fa),this}rotateX(e){return this.rotateOnAxis(t_,e)}rotateY(e){return this.rotateOnAxis(n_,e)}rotateZ(e){return this.rotateOnAxis(r_,e)}translateOnAxis(e,t){return e_.copy(e).applyQuaternion(this.quaternion),this.position.add(e_.multiplyScalar(t)),this}translateX(e){return this.translateOnAxis(t_,e)}translateY(e){return this.translateOnAxis(n_,e)}translateZ(e){return this.translateOnAxis(r_,e)}localToWorld(e){return this.updateWorldMatrix(!0,!1),e.applyMatrix4(this.matrixWorld)}worldToLocal(e){return this.updateWorldMatrix(!0,!1),e.applyMatrix4(ai.copy(this.matrixWorld).invert())}lookAt(e,t,r){e.isVector3?nl.copy(e):nl.set(e,t,r);const i=this.parent;this.updateWorldMatrix(!0,!1),Ds.setFromMatrixPosition(this.matrixWorld),this.isCamera||this.isLight?ai.lookAt(Ds,nl,this.up):ai.lookAt(nl,Ds,this.up),this.quaternion.setFromRotationMatrix(ai),i&&(ai.extractRotation(i.matrixWorld),Fa.setFromRotationMatrix(ai),this.quaternion.premultiply(Fa.invert()))}add(e){if(arguments.length>1){for(let t=0;t<arguments.length;t++)this.add(arguments[t]);return this}return e===this?(console.error("THREE.Object3D.add: object can't be added as a child of itself.",e),this):(e&&e.isObject3D?(e.parent!==null&&e.parent.remove(e),e.parent=this,this.children.push(e),e.dispatchEvent(jP)):console.error("THREE.Object3D.add: object not an instance of THREE.Object3D.",e),this)}remove(e){if(arguments.length>1){for(let r=0;r<arguments.length;r++)this.remove(arguments[r]);return this}const t=this.children.indexOf(e);return t!==-1&&(e.parent=null,this.children.splice(t,1),e.dispatchEvent(XP)),this}removeFromParent(){const e=this.parent;return e!==null&&e.remove(this),this}clear(){return this.remove(...this.children)}attach(e){return this.updateWorldMatrix(!0,!1),ai.copy(this.matrixWorld).invert(),e.parent!==null&&(e.parent.updateWorldMatrix(!0,!1),ai.multiply(e.parent.matrixWorld)),e.applyMatrix4(ai),this.add(e),e.updateWorldMatrix(!1,!0),this}getObjectById(e){return this.getObjectByProperty("id",e)}getObjectByName(e){return this.getObjectByProperty("name",e)}getObjectByProperty(e,t){if(this[e]===t)return this;for(let r=0,i=this.children.length;r<i;r++){const s=this.children[r].getObjectByProperty(e,t);if(s!==void 0)return s}}getObjectsByProperty(e,t,r=[]){this[e]===t&&r.push(this);const i=this.children;for(let a=0,s=i.length;a<s;a++)i[a].getObjectsByProperty(e,t,r);return r}getWorldPosition(e){return this.updateWorldMatrix(!0,!1),e.setFromMatrixPosition(this.matrixWorld)}getWorldQuaternion(e){return this.updateWorldMatrix(!0,!1),this.matrixWorld.decompose(Ds,e,HP),e}getWorldScale(e){return this.updateWorldMatrix(!0,!1),this.matrixWorld.decompose(Ds,qP,e),e}getWorldDirection(e){this.updateWorldMatrix(!0,!1);const t=this.matrixWorld.elements;return e.set(t[8],t[9],t[10]).normalize()}raycast(){}traverse(e){e(this);const t=this.children;for(let r=0,i=t.length;r<i;r++)t[r].traverse(e)}traverseVisible(e){if(this.visible===!1)return;e(this);const t=this.children;for(let r=0,i=t.length;r<i;r++)t[r].traverseVisible(e)}traverseAncestors(e){const t=this.parent;t!==null&&(e(t),t.traverseAncestors(e))}updateMatrix(){this.matrix.compose(this.position,this.quaternion,this.scale),this.matrixWorldNeedsUpdate=!0}updateMatrixWorld(e){this.matrixAutoUpdate&&this.updateMatrix(),(this.matrixWorldNeedsUpdate||e)&&(this.parent===null?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix),this.matrixWorldNeedsUpdate=!1,e=!0);const t=this.children;for(let r=0,i=t.length;r<i;r++){const a=t[r];(a.matrixWorldAutoUpdate===!0||e===!0)&&a.updateMatrixWorld(e)}}updateWorldMatrix(e,t){const r=this.parent;if(e===!0&&r!==null&&r.matrixWorldAutoUpdate===!0&&r.updateWorldMatrix(!0,!1),this.matrixAutoUpdate&&this.updateMatrix(),this.parent===null?this.matrixWorld.copy(this.matrix):this.matrixWorld.multiplyMatrices(this.parent.matrixWorld,this.matrix),t===!0){const i=this.children;for(let a=0,s=i.length;a<s;a++){const o=i[a];o.matrixWorldAutoUpdate===!0&&o.updateWorldMatrix(!1,!0)}}}toJSON(e){const t=e===void 0||typeof e=="string",r={};t&&(e={geometries:{},materials:{},textures:{},images:{},shapes:{},skeletons:{},animations:{},nodes:{}},r.metadata={version:4.6,type:"Object",generator:"Object3D.toJSON"});const i={};i.uuid=this.uuid,i.type=this.type,this.name!==""&&(i.name=this.name),this.castShadow===!0&&(i.castShadow=!0),this.receiveShadow===!0&&(i.receiveShadow=!0),this.visible===!1&&(i.visible=!1),this.frustumCulled===!1&&(i.frustumCulled=!1),this.renderOrder!==0&&(i.renderOrder=this.renderOrder),Object.keys(this.userData).length>0&&(i.userData=this.userData),i.layers=this.layers.mask,i.matrix=this.matrix.toArray(),i.up=this.up.toArray(),this.matrixAutoUpdate===!1&&(i.matrixAutoUpdate=!1),this.isInstancedMesh&&(i.type="InstancedMesh",i.count=this.count,i.instanceMatrix=this.instanceMatrix.toJSON(),this.instanceColor!==null&&(i.instanceColor=this.instanceColor.toJSON())),this.isBatchedMesh&&(i.type="BatchedMesh",i.perObjectFrustumCulled=this.perObjectFrustumCulled,i.sortObjects=this.sortObjects,i.drawRanges=this._drawRanges,i.reservedRanges=this._reservedRanges,i.visibility=this._visibility,i.active=this._active,i.bounds=this._bounds.map(o=>({boxInitialized:o.boxInitialized,boxMin:o.box.min.toArray(),boxMax:o.box.max.toArray(),sphereInitialized:o.sphereInitialized,sphereRadius:o.sphere.radius,sphereCenter:o.sphere.center.toArray()})),i.maxGeometryCount=this._maxGeometryCount,i.maxVertexCount=this._maxVertexCount,i.maxIndexCount=this._maxIndexCount,i.geometryInitialized=this._geometryInitialized,i.geometryCount=this._geometryCount,i.matricesTexture=this._matricesTexture.toJSON(e),this.boundingSphere!==null&&(i.boundingSphere={center:i.boundingSphere.center.toArray(),radius:i.boundingSphere.radius}),this.boundingBox!==null&&(i.boundingBox={min:i.boundingBox.min.toArray(),max:i.boundingBox.max.toArray()}));function a(o,l){return o[l.uuid]===void 0&&(o[l.uuid]=l.toJSON(e)),l.uuid}if(this.isScene)this.background&&(this.background.isColor?i.background=this.background.toJSON():this.background.isTexture&&(i.background=this.background.toJSON(e).uuid)),this.environment&&this.environment.isTexture&&this.environment.isRenderTargetTexture!==!0&&(i.environment=this.environment.toJSON(e).uuid);else if(this.isMesh||this.isLine||this.isPoints){i.geometry=a(e.geometries,this.geometry);const o=this.geometry.parameters;if(o!==void 0&&o.shapes!==void 0){const l=o.shapes;if(Array.isArray(l))for(let u=0,c=l.length;u<c;u++){const h=l[u];a(e.shapes,h)}else a(e.shapes,l)}}if(this.isSkinnedMesh&&(i.bindMode=this.bindMode,i.bindMatrix=this.bindMatrix.toArray(),this.skeleton!==void 0&&(a(e.skeletons,this.skeleton),i.skeleton=this.skeleton.uuid)),this.material!==void 0)if(Array.isArray(this.material)){const o=[];for(let l=0,u=this.material.length;l<u;l++)o.push(a(e.materials,this.material[l]));i.material=o}else i.material=a(e.materials,this.material);if(this.children.length>0){i.children=[];for(let o=0;o<this.children.length;o++)i.children.push(this.children[o].toJSON(e).object)}if(this.animations.length>0){i.animations=[];for(let o=0;o<this.animations.length;o++){const l=this.animations[o];i.animations.push(a(e.animations,l))}}if(t){const o=s(e.geometries),l=s(e.materials),u=s(e.textures),c=s(e.images),h=s(e.shapes),p=s(e.skeletons),d=s(e.animations),m=s(e.nodes);o.length>0&&(r.geometries=o),l.length>0&&(r.materials=l),u.length>0&&(r.textures=u),c.length>0&&(r.images=c),h.length>0&&(r.shapes=h),p.length>0&&(r.skeletons=p),d.length>0&&(r.animations=d),m.length>0&&(r.nodes=m)}return r.object=i,r;function s(o){const l=[];for(const u in o){const c=o[u];delete c.metadata,l.push(c)}return l}}clone(e){return new this.constructor().copy(this,e)}copy(e,t=!0){if(this.name=e.name,this.up.copy(e.up),this.position.copy(e.position),this.rotation.order=e.rotation.order,this.quaternion.copy(e.quaternion),this.scale.copy(e.scale),this.matrix.copy(e.matrix),this.matrixWorld.copy(e.matrixWorld),this.matrixAutoUpdate=e.matrixAutoUpdate,this.matrixWorldAutoUpdate=e.matrixWorldAutoUpdate,this.matrixWorldNeedsUpdate=e.matrixWorldNeedsUpdate,this.layers.mask=e.layers.mask,this.visible=e.visible,this.castShadow=e.castShadow,this.receiveShadow=e.receiveShadow,this.frustumCulled=e.frustumCulled,this.renderOrder=e.renderOrder,this.animations=e.animations.slice(),this.userData=JSON.parse(JSON.stringify(e.userData)),t===!0)for(let r=0;r<e.children.length;r++){const i=e.children[r];this.add(i.clone())}return this}}ir.DEFAULT_UP=new re(0,1,0);ir.DEFAULT_MATRIX_AUTO_UPDATE=!0;ir.DEFAULT_MATRIX_WORLD_AUTO_UPDATE=!0;const Ir=new re,si=new re,Sc=new re,oi=new re,Ga=new re,Wa=new re,i_=new re,Ec=new re,Mc=new re,Tc=new re;let rl=!1;class Or{constructor(e=new re,t=new re,r=new re){this.a=e,this.b=t,this.c=r}static getNormal(e,t,r,i){i.subVectors(r,t),Ir.subVectors(e,t),i.cross(Ir);const a=i.lengthSq();return a>0?i.multiplyScalar(1/Math.sqrt(a)):i.set(0,0,0)}static getBarycoord(e,t,r,i,a){Ir.subVectors(i,t),si.subVectors(r,t),Sc.subVectors(e,t);const s=Ir.dot(Ir),o=Ir.dot(si),l=Ir.dot(Sc),u=si.dot(si),c=si.dot(Sc),h=s*u-o*o;if(h===0)return a.set(0,0,0),null;const p=1/h,d=(u*l-o*c)*p,m=(s*c-o*l)*p;return a.set(1-d-m,m,d)}static containsPoint(e,t,r,i){return this.getBarycoord(e,t,r,i,oi)===null?!1:oi.x>=0&&oi.y>=0&&oi.x+oi.y<=1}static getUV(e,t,r,i,a,s,o,l){return rl===!1&&(console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."),rl=!0),this.getInterpolation(e,t,r,i,a,s,o,l)}static getInterpolation(e,t,r,i,a,s,o,l){return this.getBarycoord(e,t,r,i,oi)===null?(l.x=0,l.y=0,"z"in l&&(l.z=0),"w"in l&&(l.w=0),null):(l.setScalar(0),l.addScaledVector(a,oi.x),l.addScaledVector(s,oi.y),l.addScaledVector(o,oi.z),l)}static isFrontFacing(e,t,r,i){return Ir.subVectors(r,t),si.subVectors(e,t),Ir.cross(si).dot(i)<0}set(e,t,r){return this.a.copy(e),this.b.copy(t),this.c.copy(r),this}setFromPointsAndIndices(e,t,r,i){return this.a.copy(e[t]),this.b.copy(e[r]),this.c.copy(e[i]),this}setFromAttributeAndIndices(e,t,r,i){return this.a.fromBufferAttribute(e,t),this.b.fromBufferAttribute(e,r),this.c.fromBufferAttribute(e,i),this}clone(){return new this.constructor().copy(this)}copy(e){return this.a.copy(e.a),this.b.copy(e.b),this.c.copy(e.c),this}getArea(){return Ir.subVectors(this.c,this.b),si.subVectors(this.a,this.b),Ir.cross(si).length()*.5}getMidpoint(e){return e.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(e){return Or.getNormal(this.a,this.b,this.c,e)}getPlane(e){return e.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(e,t){return Or.getBarycoord(e,this.a,this.b,this.c,t)}getUV(e,t,r,i,a){return rl===!1&&(console.warn("THREE.Triangle.getUV() has been renamed to THREE.Triangle.getInterpolation()."),rl=!0),Or.getInterpolation(e,this.a,this.b,this.c,t,r,i,a)}getInterpolation(e,t,r,i,a){return Or.getInterpolation(e,this.a,this.b,this.c,t,r,i,a)}containsPoint(e){return Or.containsPoint(e,this.a,this.b,this.c)}isFrontFacing(e){return Or.isFrontFacing(this.a,this.b,this.c,e)}intersectsBox(e){return e.intersectsTriangle(this)}closestPointToPoint(e,t){const r=this.a,i=this.b,a=this.c;let s,o;Ga.subVectors(i,r),Wa.subVectors(a,r),Ec.subVectors(e,r);const l=Ga.dot(Ec),u=Wa.dot(Ec);if(l<=0&&u<=0)return t.copy(r);Mc.subVectors(e,i);const c=Ga.dot(Mc),h=Wa.dot(Mc);if(c>=0&&h<=c)return t.copy(i);const p=l*h-c*u;if(p<=0&&l>=0&&c<=0)return s=l/(l-c),t.copy(r).addScaledVector(Ga,s);Tc.subVectors(e,a);const d=Ga.dot(Tc),m=Wa.dot(Tc);if(m>=0&&d<=m)return t.copy(a);const y=d*u-l*m;if(y<=0&&u>=0&&m<=0)return o=u/(u-m),t.copy(r).addScaledVector(Wa,o);const g=c*m-d*h;if(g<=0&&h-c>=0&&d-m>=0)return i_.subVectors(a,i),o=(h-c)/(h-c+(d-m)),t.copy(i).addScaledVector(i_,o);const _=1/(g+y+p);return s=y*_,o=p*_,t.copy(r).addScaledVector(Ga,s).addScaledVector(Wa,o)}equals(e){return e.a.equals(this.a)&&e.b.equals(this.b)&&e.c.equals(this.c)}}const Dx={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},Ci={h:0,s:0,l:0},il={h:0,s:0,l:0};function Ac(n,e,t){return t<0&&(t+=1),t>1&&(t-=1),t<1/6?n+(e-n)*6*t:t<1/2?e:t<2/3?n+(e-n)*6*(2/3-t):n}class qt{constructor(e,t,r){return this.isColor=!0,this.r=1,this.g=1,this.b=1,this.set(e,t,r)}set(e,t,r){if(t===void 0&&r===void 0){const i=e;i&&i.isColor?this.copy(i):typeof i=="number"?this.setHex(i):typeof i=="string"&&this.setStyle(i)}else this.setRGB(e,t,r);return this}setScalar(e){return this.r=e,this.g=e,this.b=e,this}setHex(e,t=En){return e=Math.floor(e),this.r=(e>>16&255)/255,this.g=(e>>8&255)/255,this.b=(e&255)/255,Qt.toWorkingColorSpace(this,t),this}setRGB(e,t,r,i=Qt.workingColorSpace){return this.r=e,this.g=t,this.b=r,Qt.toWorkingColorSpace(this,i),this}setHSL(e,t,r,i=Qt.workingColorSpace){if(e=ih(e,1),t=Ln(t,0,1),r=Ln(r,0,1),t===0)this.r=this.g=this.b=r;else{const a=r<=.5?r*(1+t):r+t-r*t,s=2*r-a;this.r=Ac(s,a,e+1/3),this.g=Ac(s,a,e),this.b=Ac(s,a,e-1/3)}return Qt.toWorkingColorSpace(this,i),this}setStyle(e,t=En){function r(a){a!==void 0&&parseFloat(a)<1&&console.warn("THREE.Color: Alpha component of "+e+" will be ignored.")}let i;if(i=/^(\w+)\(([^\)]*)\)/.exec(e)){let a;const s=i[1],o=i[2];switch(s){case"rgb":case"rgba":if(a=/^\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(o))return r(a[4]),this.setRGB(Math.min(255,parseInt(a[1],10))/255,Math.min(255,parseInt(a[2],10))/255,Math.min(255,parseInt(a[3],10))/255,t);if(a=/^\s*(\d+)\%\s*,\s*(\d+)\%\s*,\s*(\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(o))return r(a[4]),this.setRGB(Math.min(100,parseInt(a[1],10))/100,Math.min(100,parseInt(a[2],10))/100,Math.min(100,parseInt(a[3],10))/100,t);break;case"hsl":case"hsla":if(a=/^\s*(\d*\.?\d+)\s*,\s*(\d*\.?\d+)\%\s*,\s*(\d*\.?\d+)\%\s*(?:,\s*(\d*\.?\d+)\s*)?$/.exec(o))return r(a[4]),this.setHSL(parseFloat(a[1])/360,parseFloat(a[2])/100,parseFloat(a[3])/100,t);break;default:console.warn("THREE.Color: Unknown color model "+e)}}else if(i=/^\#([A-Fa-f\d]+)$/.exec(e)){const a=i[1],s=a.length;if(s===3)return this.setRGB(parseInt(a.charAt(0),16)/15,parseInt(a.charAt(1),16)/15,parseInt(a.charAt(2),16)/15,t);if(s===6)return this.setHex(parseInt(a,16),t);console.warn("THREE.Color: Invalid hex color "+e)}else if(e&&e.length>0)return this.setColorName(e,t);return this}setColorName(e,t=En){const r=Dx[e.toLowerCase()];return r!==void 0?this.setHex(r,t):console.warn("THREE.Color: Unknown color "+e),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(e){return this.r=e.r,this.g=e.g,this.b=e.b,this}copySRGBToLinear(e){return this.r=as(e.r),this.g=as(e.g),this.b=as(e.b),this}copyLinearToSRGB(e){return this.r=mc(e.r),this.g=mc(e.g),this.b=mc(e.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(e=En){return Qt.fromWorkingColorSpace(Dn.copy(this),e),Math.round(Ln(Dn.r*255,0,255))*65536+Math.round(Ln(Dn.g*255,0,255))*256+Math.round(Ln(Dn.b*255,0,255))}getHexString(e=En){return("000000"+this.getHex(e).toString(16)).slice(-6)}getHSL(e,t=Qt.workingColorSpace){Qt.fromWorkingColorSpace(Dn.copy(this),t);const r=Dn.r,i=Dn.g,a=Dn.b,s=Math.max(r,i,a),o=Math.min(r,i,a);let l,u;const c=(o+s)/2;if(o===s)l=0,u=0;else{const h=s-o;switch(u=c<=.5?h/(s+o):h/(2-s-o),s){case r:l=(i-a)/h+(i<a?6:0);break;case i:l=(a-r)/h+2;break;case a:l=(r-i)/h+4;break}l/=6}return e.h=l,e.s=u,e.l=c,e}getRGB(e,t=Qt.workingColorSpace){return Qt.fromWorkingColorSpace(Dn.copy(this),t),e.r=Dn.r,e.g=Dn.g,e.b=Dn.b,e}getStyle(e=En){Qt.fromWorkingColorSpace(Dn.copy(this),e);const t=Dn.r,r=Dn.g,i=Dn.b;return e!==En?`color(${e} ${t.toFixed(3)} ${r.toFixed(3)} ${i.toFixed(3)})`:`rgb(${Math.round(t*255)},${Math.round(r*255)},${Math.round(i*255)})`}offsetHSL(e,t,r){return this.getHSL(Ci),this.setHSL(Ci.h+e,Ci.s+t,Ci.l+r)}add(e){return this.r+=e.r,this.g+=e.g,this.b+=e.b,this}addColors(e,t){return this.r=e.r+t.r,this.g=e.g+t.g,this.b=e.b+t.b,this}addScalar(e){return this.r+=e,this.g+=e,this.b+=e,this}sub(e){return this.r=Math.max(0,this.r-e.r),this.g=Math.max(0,this.g-e.g),this.b=Math.max(0,this.b-e.b),this}multiply(e){return this.r*=e.r,this.g*=e.g,this.b*=e.b,this}multiplyScalar(e){return this.r*=e,this.g*=e,this.b*=e,this}lerp(e,t){return this.r+=(e.r-this.r)*t,this.g+=(e.g-this.g)*t,this.b+=(e.b-this.b)*t,this}lerpColors(e,t,r){return this.r=e.r+(t.r-e.r)*r,this.g=e.g+(t.g-e.g)*r,this.b=e.b+(t.b-e.b)*r,this}lerpHSL(e,t){this.getHSL(Ci),e.getHSL(il);const r=Hs(Ci.h,il.h,t),i=Hs(Ci.s,il.s,t),a=Hs(Ci.l,il.l,t);return this.setHSL(r,i,a),this}setFromVector3(e){return this.r=e.x,this.g=e.y,this.b=e.z,this}applyMatrix3(e){const t=this.r,r=this.g,i=this.b,a=e.elements;return this.r=a[0]*t+a[3]*r+a[6]*i,this.g=a[1]*t+a[4]*r+a[7]*i,this.b=a[2]*t+a[5]*r+a[8]*i,this}equals(e){return e.r===this.r&&e.g===this.g&&e.b===this.b}fromArray(e,t=0){return this.r=e[t],this.g=e[t+1],this.b=e[t+2],this}toArray(e=[],t=0){return e[t]=this.r,e[t+1]=this.g,e[t+2]=this.b,e}fromBufferAttribute(e,t){return this.r=e.getX(t),this.g=e.getY(t),this.b=e.getZ(t),this}toJSON(){return this.getHex()}*[Symbol.iterator](){yield this.r,yield this.g,yield this.b}}const Dn=new qt;qt.NAMES=Dx;let YP=0;class To extends Ea{constructor(){super(),this.isMaterial=!0,Object.defineProperty(this,"id",{value:YP++}),this.uuid=ws(),this.name="",this.type="Material",this.blending=is,this.side=Ui,this.vertexColors=!1,this.opacity=1,this.transparent=!1,this.alphaHash=!1,this.blendSrc=td,this.blendDst=nd,this.blendEquation=ra,this.blendSrcAlpha=null,this.blendDstAlpha=null,this.blendEquationAlpha=null,this.blendColor=new qt(0,0,0),this.blendAlpha=0,this.depthFunc=ql,this.depthTest=!0,this.depthWrite=!0,this.stencilWriteMask=255,this.stencilFunc=Vg,this.stencilRef=0,this.stencilFuncMask=255,this.stencilFail=Da,this.stencilZFail=Da,this.stencilZPass=Da,this.stencilWrite=!1,this.clippingPlanes=null,this.clipIntersection=!1,this.clipShadows=!1,this.shadowSide=null,this.colorWrite=!0,this.precision=null,this.polygonOffset=!1,this.polygonOffsetFactor=0,this.polygonOffsetUnits=0,this.dithering=!1,this.alphaToCoverage=!1,this.premultipliedAlpha=!1,this.forceSinglePass=!1,this.visible=!0,this.toneMapped=!0,this.userData={},this.version=0,this._alphaTest=0}get alphaTest(){return this._alphaTest}set alphaTest(e){this._alphaTest>0!=e>0&&this.version++,this._alphaTest=e}onBuild(){}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(e){if(e!==void 0)for(const t in e){const r=e[t];if(r===void 0){console.warn(`THREE.Material: parameter '${t}' has value of undefined.`);continue}const i=this[t];if(i===void 0){console.warn(`THREE.Material: '${t}' is not a property of THREE.${this.type}.`);continue}i&&i.isColor?i.set(r):i&&i.isVector3&&r&&r.isVector3?i.copy(r):this[t]=r}}toJSON(e){const t=e===void 0||typeof e=="string";t&&(e={textures:{},images:{}});const r={metadata:{version:4.6,type:"Material",generator:"Material.toJSON"}};r.uuid=this.uuid,r.type=this.type,this.name!==""&&(r.name=this.name),this.color&&this.color.isColor&&(r.color=this.color.getHex()),this.roughness!==void 0&&(r.roughness=this.roughness),this.metalness!==void 0&&(r.metalness=this.metalness),this.sheen!==void 0&&(r.sheen=this.sheen),this.sheenColor&&this.sheenColor.isColor&&(r.sheenColor=this.sheenColor.getHex()),this.sheenRoughness!==void 0&&(r.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(r.emissive=this.emissive.getHex()),this.emissiveIntensity&&this.emissiveIntensity!==1&&(r.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(r.specular=this.specular.getHex()),this.specularIntensity!==void 0&&(r.specularIntensity=this.specularIntensity),this.specularColor&&this.specularColor.isColor&&(r.specularColor=this.specularColor.getHex()),this.shininess!==void 0&&(r.shininess=this.shininess),this.clearcoat!==void 0&&(r.clearcoat=this.clearcoat),this.clearcoatRoughness!==void 0&&(r.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(r.clearcoatMap=this.clearcoatMap.toJSON(e).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(r.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(e).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(r.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(e).uuid,r.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.iridescence!==void 0&&(r.iridescence=this.iridescence),this.iridescenceIOR!==void 0&&(r.iridescenceIOR=this.iridescenceIOR),this.iridescenceThicknessRange!==void 0&&(r.iridescenceThicknessRange=this.iridescenceThicknessRange),this.iridescenceMap&&this.iridescenceMap.isTexture&&(r.iridescenceMap=this.iridescenceMap.toJSON(e).uuid),this.iridescenceThicknessMap&&this.iridescenceThicknessMap.isTexture&&(r.iridescenceThicknessMap=this.iridescenceThicknessMap.toJSON(e).uuid),this.anisotropy!==void 0&&(r.anisotropy=this.anisotropy),this.anisotropyRotation!==void 0&&(r.anisotropyRotation=this.anisotropyRotation),this.anisotropyMap&&this.anisotropyMap.isTexture&&(r.anisotropyMap=this.anisotropyMap.toJSON(e).uuid),this.map&&this.map.isTexture&&(r.map=this.map.toJSON(e).uuid),this.matcap&&this.matcap.isTexture&&(r.matcap=this.matcap.toJSON(e).uuid),this.alphaMap&&this.alphaMap.isTexture&&(r.alphaMap=this.alphaMap.toJSON(e).uuid),this.lightMap&&this.lightMap.isTexture&&(r.lightMap=this.lightMap.toJSON(e).uuid,r.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(r.aoMap=this.aoMap.toJSON(e).uuid,r.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(r.bumpMap=this.bumpMap.toJSON(e).uuid,r.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(r.normalMap=this.normalMap.toJSON(e).uuid,r.normalMapType=this.normalMapType,r.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(r.displacementMap=this.displacementMap.toJSON(e).uuid,r.displacementScale=this.displacementScale,r.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(r.roughnessMap=this.roughnessMap.toJSON(e).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(r.metalnessMap=this.metalnessMap.toJSON(e).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(r.emissiveMap=this.emissiveMap.toJSON(e).uuid),this.specularMap&&this.specularMap.isTexture&&(r.specularMap=this.specularMap.toJSON(e).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(r.specularIntensityMap=this.specularIntensityMap.toJSON(e).uuid),this.specularColorMap&&this.specularColorMap.isTexture&&(r.specularColorMap=this.specularColorMap.toJSON(e).uuid),this.envMap&&this.envMap.isTexture&&(r.envMap=this.envMap.toJSON(e).uuid,this.combine!==void 0&&(r.combine=this.combine)),this.envMapIntensity!==void 0&&(r.envMapIntensity=this.envMapIntensity),this.reflectivity!==void 0&&(r.reflectivity=this.reflectivity),this.refractionRatio!==void 0&&(r.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(r.gradientMap=this.gradientMap.toJSON(e).uuid),this.transmission!==void 0&&(r.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(r.transmissionMap=this.transmissionMap.toJSON(e).uuid),this.thickness!==void 0&&(r.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(r.thicknessMap=this.thicknessMap.toJSON(e).uuid),this.attenuationDistance!==void 0&&this.attenuationDistance!==1/0&&(r.attenuationDistance=this.attenuationDistance),this.attenuationColor!==void 0&&(r.attenuationColor=this.attenuationColor.getHex()),this.size!==void 0&&(r.size=this.size),this.shadowSide!==null&&(r.shadowSide=this.shadowSide),this.sizeAttenuation!==void 0&&(r.sizeAttenuation=this.sizeAttenuation),this.blending!==is&&(r.blending=this.blending),this.side!==Ui&&(r.side=this.side),this.vertexColors===!0&&(r.vertexColors=!0),this.opacity<1&&(r.opacity=this.opacity),this.transparent===!0&&(r.transparent=!0),this.blendSrc!==td&&(r.blendSrc=this.blendSrc),this.blendDst!==nd&&(r.blendDst=this.blendDst),this.blendEquation!==ra&&(r.blendEquation=this.blendEquation),this.blendSrcAlpha!==null&&(r.blendSrcAlpha=this.blendSrcAlpha),this.blendDstAlpha!==null&&(r.blendDstAlpha=this.blendDstAlpha),this.blendEquationAlpha!==null&&(r.blendEquationAlpha=this.blendEquationAlpha),this.blendColor&&this.blendColor.isColor&&(r.blendColor=this.blendColor.getHex()),this.blendAlpha!==0&&(r.blendAlpha=this.blendAlpha),this.depthFunc!==ql&&(r.depthFunc=this.depthFunc),this.depthTest===!1&&(r.depthTest=this.depthTest),this.depthWrite===!1&&(r.depthWrite=this.depthWrite),this.colorWrite===!1&&(r.colorWrite=this.colorWrite),this.stencilWriteMask!==255&&(r.stencilWriteMask=this.stencilWriteMask),this.stencilFunc!==Vg&&(r.stencilFunc=this.stencilFunc),this.stencilRef!==0&&(r.stencilRef=this.stencilRef),this.stencilFuncMask!==255&&(r.stencilFuncMask=this.stencilFuncMask),this.stencilFail!==Da&&(r.stencilFail=this.stencilFail),this.stencilZFail!==Da&&(r.stencilZFail=this.stencilZFail),this.stencilZPass!==Da&&(r.stencilZPass=this.stencilZPass),this.stencilWrite===!0&&(r.stencilWrite=this.stencilWrite),this.rotation!==void 0&&this.rotation!==0&&(r.rotation=this.rotation),this.polygonOffset===!0&&(r.polygonOffset=!0),this.polygonOffsetFactor!==0&&(r.polygonOffsetFactor=this.polygonOffsetFactor),this.polygonOffsetUnits!==0&&(r.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth!==void 0&&this.linewidth!==1&&(r.linewidth=this.linewidth),this.dashSize!==void 0&&(r.dashSize=this.dashSize),this.gapSize!==void 0&&(r.gapSize=this.gapSize),this.scale!==void 0&&(r.scale=this.scale),this.dithering===!0&&(r.dithering=!0),this.alphaTest>0&&(r.alphaTest=this.alphaTest),this.alphaHash===!0&&(r.alphaHash=!0),this.alphaToCoverage===!0&&(r.alphaToCoverage=!0),this.premultipliedAlpha===!0&&(r.premultipliedAlpha=!0),this.forceSinglePass===!0&&(r.forceSinglePass=!0),this.wireframe===!0&&(r.wireframe=!0),this.wireframeLinewidth>1&&(r.wireframeLinewidth=this.wireframeLinewidth),this.wireframeLinecap!=="round"&&(r.wireframeLinecap=this.wireframeLinecap),this.wireframeLinejoin!=="round"&&(r.wireframeLinejoin=this.wireframeLinejoin),this.flatShading===!0&&(r.flatShading=!0),this.visible===!1&&(r.visible=!1),this.toneMapped===!1&&(r.toneMapped=!1),this.fog===!1&&(r.fog=!1),Object.keys(this.userData).length>0&&(r.userData=this.userData);function i(a){const s=[];for(const o in a){const l=a[o];delete l.metadata,s.push(l)}return s}if(t){const a=i(e.textures),s=i(e.images);a.length>0&&(r.textures=a),s.length>0&&(r.images=s)}return r}clone(){return new this.constructor().copy(this)}copy(e){this.name=e.name,this.blending=e.blending,this.side=e.side,this.vertexColors=e.vertexColors,this.opacity=e.opacity,this.transparent=e.transparent,this.blendSrc=e.blendSrc,this.blendDst=e.blendDst,this.blendEquation=e.blendEquation,this.blendSrcAlpha=e.blendSrcAlpha,this.blendDstAlpha=e.blendDstAlpha,this.blendEquationAlpha=e.blendEquationAlpha,this.blendColor.copy(e.blendColor),this.blendAlpha=e.blendAlpha,this.depthFunc=e.depthFunc,this.depthTest=e.depthTest,this.depthWrite=e.depthWrite,this.stencilWriteMask=e.stencilWriteMask,this.stencilFunc=e.stencilFunc,this.stencilRef=e.stencilRef,this.stencilFuncMask=e.stencilFuncMask,this.stencilFail=e.stencilFail,this.stencilZFail=e.stencilZFail,this.stencilZPass=e.stencilZPass,this.stencilWrite=e.stencilWrite;const t=e.clippingPlanes;let r=null;if(t!==null){const i=t.length;r=new Array(i);for(let a=0;a!==i;++a)r[a]=t[a].clone()}return this.clippingPlanes=r,this.clipIntersection=e.clipIntersection,this.clipShadows=e.clipShadows,this.shadowSide=e.shadowSide,this.colorWrite=e.colorWrite,this.precision=e.precision,this.polygonOffset=e.polygonOffset,this.polygonOffsetFactor=e.polygonOffsetFactor,this.polygonOffsetUnits=e.polygonOffsetUnits,this.dithering=e.dithering,this.alphaTest=e.alphaTest,this.alphaHash=e.alphaHash,this.alphaToCoverage=e.alphaToCoverage,this.premultipliedAlpha=e.premultipliedAlpha,this.forceSinglePass=e.forceSinglePass,this.visible=e.visible,this.toneMapped=e.toneMapped,this.userData=JSON.parse(JSON.stringify(e.userData)),this}dispose(){this.dispatchEvent({type:"dispose"})}set needsUpdate(e){e===!0&&this.version++}}class Lx extends To{constructor(e){super(),this.isMeshBasicMaterial=!0,this.type="MeshBasicMaterial",this.color=new qt(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.combine=_x,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap="round",this.wireframeLinejoin="round",this.fog=!0,this.setValues(e)}copy(e){return super.copy(e),this.color.copy(e.color),this.map=e.map,this.lightMap=e.lightMap,this.lightMapIntensity=e.lightMapIntensity,this.aoMap=e.aoMap,this.aoMapIntensity=e.aoMapIntensity,this.specularMap=e.specularMap,this.alphaMap=e.alphaMap,this.envMap=e.envMap,this.combine=e.combine,this.reflectivity=e.reflectivity,this.refractionRatio=e.refractionRatio,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.wireframeLinecap=e.wireframeLinecap,this.wireframeLinejoin=e.wireframeLinejoin,this.fog=e.fog,this}}const _n=new re,al=new kt;class Yr{constructor(e,t,r=!1){if(Array.isArray(e))throw new TypeError("THREE.BufferAttribute: array should be a Typed Array.");this.isBufferAttribute=!0,this.name="",this.array=e,this.itemSize=t,this.count=e!==void 0?e.length/t:0,this.normalized=r,this.usage=Hg,this._updateRange={offset:0,count:-1},this.updateRanges=[],this.gpuType=ki,this.version=0}onUploadCallback(){}set needsUpdate(e){e===!0&&this.version++}get updateRange(){return console.warn("THREE.BufferAttribute: updateRange() is deprecated and will be removed in r169. Use addUpdateRange() instead."),this._updateRange}setUsage(e){return this.usage=e,this}addUpdateRange(e,t){this.updateRanges.push({start:e,count:t})}clearUpdateRanges(){this.updateRanges.length=0}copy(e){return this.name=e.name,this.array=new e.array.constructor(e.array),this.itemSize=e.itemSize,this.count=e.count,this.normalized=e.normalized,this.usage=e.usage,this.gpuType=e.gpuType,this}copyAt(e,t,r){e*=this.itemSize,r*=t.itemSize;for(let i=0,a=this.itemSize;i<a;i++)this.array[e+i]=t.array[r+i];return this}copyArray(e){return this.array.set(e),this}applyMatrix3(e){if(this.itemSize===2)for(let t=0,r=this.count;t<r;t++)al.fromBufferAttribute(this,t),al.applyMatrix3(e),this.setXY(t,al.x,al.y);else if(this.itemSize===3)for(let t=0,r=this.count;t<r;t++)_n.fromBufferAttribute(this,t),_n.applyMatrix3(e),this.setXYZ(t,_n.x,_n.y,_n.z);return this}applyMatrix4(e){for(let t=0,r=this.count;t<r;t++)_n.fromBufferAttribute(this,t),_n.applyMatrix4(e),this.setXYZ(t,_n.x,_n.y,_n.z);return this}applyNormalMatrix(e){for(let t=0,r=this.count;t<r;t++)_n.fromBufferAttribute(this,t),_n.applyNormalMatrix(e),this.setXYZ(t,_n.x,_n.y,_n.z);return this}transformDirection(e){for(let t=0,r=this.count;t<r;t++)_n.fromBufferAttribute(this,t),_n.transformDirection(e),this.setXYZ(t,_n.x,_n.y,_n.z);return this}set(e,t=0){return this.array.set(e,t),this}getComponent(e,t){let r=this.array[e*this.itemSize+t];return this.normalized&&(r=Ja(r,this.array)),r}setComponent(e,t,r){return this.normalized&&(r=Wn(r,this.array)),this.array[e*this.itemSize+t]=r,this}getX(e){let t=this.array[e*this.itemSize];return this.normalized&&(t=Ja(t,this.array)),t}setX(e,t){return this.normalized&&(t=Wn(t,this.array)),this.array[e*this.itemSize]=t,this}getY(e){let t=this.array[e*this.itemSize+1];return this.normalized&&(t=Ja(t,this.array)),t}setY(e,t){return this.normalized&&(t=Wn(t,this.array)),this.array[e*this.itemSize+1]=t,this}getZ(e){let t=this.array[e*this.itemSize+2];return this.normalized&&(t=Ja(t,this.array)),t}setZ(e,t){return this.normalized&&(t=Wn(t,this.array)),this.array[e*this.itemSize+2]=t,this}getW(e){let t=this.array[e*this.itemSize+3];return this.normalized&&(t=Ja(t,this.array)),t}setW(e,t){return this.normalized&&(t=Wn(t,this.array)),this.array[e*this.itemSize+3]=t,this}setXY(e,t,r){return e*=this.itemSize,this.normalized&&(t=Wn(t,this.array),r=Wn(r,this.array)),this.array[e+0]=t,this.array[e+1]=r,this}setXYZ(e,t,r,i){return e*=this.itemSize,this.normalized&&(t=Wn(t,this.array),r=Wn(r,this.array),i=Wn(i,this.array)),this.array[e+0]=t,this.array[e+1]=r,this.array[e+2]=i,this}setXYZW(e,t,r,i,a){return e*=this.itemSize,this.normalized&&(t=Wn(t,this.array),r=Wn(r,this.array),i=Wn(i,this.array),a=Wn(a,this.array)),this.array[e+0]=t,this.array[e+1]=r,this.array[e+2]=i,this.array[e+3]=a,this}onUpload(e){return this.onUploadCallback=e,this}clone(){return new this.constructor(this.array,this.itemSize).copy(this)}toJSON(){const e={itemSize:this.itemSize,type:this.array.constructor.name,array:Array.from(this.array),normalized:this.normalized};return this.name!==""&&(e.name=this.name),this.usage!==Hg&&(e.usage=this.usage),e}}class zx extends Yr{constructor(e,t,r){super(new Uint16Array(e),t,r)}}class Nx extends Yr{constructor(e,t,r){super(new Uint32Array(e),t,r)}}class ha extends Yr{constructor(e,t,r){super(new Float32Array(e),t,r)}}let KP=0;const hr=new In,Cc=new ir,Va=new re,or=new Mo,Ls=new Mo,Sn=new re;class Ma extends Ea{constructor(){super(),this.isBufferGeometry=!0,Object.defineProperty(this,"id",{value:KP++}),this.uuid=ws(),this.name="",this.type="BufferGeometry",this.index=null,this.attributes={},this.morphAttributes={},this.morphTargetsRelative=!1,this.groups=[],this.boundingBox=null,this.boundingSphere=null,this.drawRange={start:0,count:1/0},this.userData={}}getIndex(){return this.index}setIndex(e){return Array.isArray(e)?this.index=new($x(e)?Nx:zx)(e,1):this.index=e,this}getAttribute(e){return this.attributes[e]}setAttribute(e,t){return this.attributes[e]=t,this}deleteAttribute(e){return delete this.attributes[e],this}hasAttribute(e){return this.attributes[e]!==void 0}addGroup(e,t,r=0){this.groups.push({start:e,count:t,materialIndex:r})}clearGroups(){this.groups=[]}setDrawRange(e,t){this.drawRange.start=e,this.drawRange.count=t}applyMatrix4(e){const t=this.attributes.position;t!==void 0&&(t.applyMatrix4(e),t.needsUpdate=!0);const r=this.attributes.normal;if(r!==void 0){const a=new Lt().getNormalMatrix(e);r.applyNormalMatrix(a),r.needsUpdate=!0}const i=this.attributes.tangent;return i!==void 0&&(i.transformDirection(e),i.needsUpdate=!0),this.boundingBox!==null&&this.computeBoundingBox(),this.boundingSphere!==null&&this.computeBoundingSphere(),this}applyQuaternion(e){return hr.makeRotationFromQuaternion(e),this.applyMatrix4(hr),this}rotateX(e){return hr.makeRotationX(e),this.applyMatrix4(hr),this}rotateY(e){return hr.makeRotationY(e),this.applyMatrix4(hr),this}rotateZ(e){return hr.makeRotationZ(e),this.applyMatrix4(hr),this}translate(e,t,r){return hr.makeTranslation(e,t,r),this.applyMatrix4(hr),this}scale(e,t,r){return hr.makeScale(e,t,r),this.applyMatrix4(hr),this}lookAt(e){return Cc.lookAt(e),Cc.updateMatrix(),this.applyMatrix4(Cc.matrix),this}center(){return this.computeBoundingBox(),this.boundingBox.getCenter(Va).negate(),this.translate(Va.x,Va.y,Va.z),this}setFromPoints(e){const t=[];for(let r=0,i=e.length;r<i;r++){const a=e[r];t.push(a.x,a.y,a.z||0)}return this.setAttribute("position",new ha(t,3)),this}computeBoundingBox(){this.boundingBox===null&&(this.boundingBox=new Mo);const e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set "mesh.frustumCulled" to "false".',this),this.boundingBox.set(new re(-1/0,-1/0,-1/0),new re(1/0,1/0,1/0));return}if(e!==void 0){if(this.boundingBox.setFromBufferAttribute(e),t)for(let r=0,i=t.length;r<i;r++){const a=t[r];or.setFromBufferAttribute(a),this.morphTargetsRelative?(Sn.addVectors(this.boundingBox.min,or.min),this.boundingBox.expandByPoint(Sn),Sn.addVectors(this.boundingBox.max,or.max),this.boundingBox.expandByPoint(Sn)):(this.boundingBox.expandByPoint(or.min),this.boundingBox.expandByPoint(or.max))}}else this.boundingBox.makeEmpty();(isNaN(this.boundingBox.min.x)||isNaN(this.boundingBox.min.y)||isNaN(this.boundingBox.min.z))&&console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The "position" attribute is likely to have NaN values.',this)}computeBoundingSphere(){this.boundingSphere===null&&(this.boundingSphere=new ah);const e=this.attributes.position,t=this.morphAttributes.position;if(e&&e.isGLBufferAttribute){console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set "mesh.frustumCulled" to "false".',this),this.boundingSphere.set(new re,1/0);return}if(e){const r=this.boundingSphere.center;if(or.setFromBufferAttribute(e),t)for(let a=0,s=t.length;a<s;a++){const o=t[a];Ls.setFromBufferAttribute(o),this.morphTargetsRelative?(Sn.addVectors(or.min,Ls.min),or.expandByPoint(Sn),Sn.addVectors(or.max,Ls.max),or.expandByPoint(Sn)):(or.expandByPoint(Ls.min),or.expandByPoint(Ls.max))}or.getCenter(r);let i=0;for(let a=0,s=e.count;a<s;a++)Sn.fromBufferAttribute(e,a),i=Math.max(i,r.distanceToSquared(Sn));if(t)for(let a=0,s=t.length;a<s;a++){const o=t[a],l=this.morphTargetsRelative;for(let u=0,c=o.count;u<c;u++)Sn.fromBufferAttribute(o,u),l&&(Va.fromBufferAttribute(e,u),Sn.add(Va)),i=Math.max(i,r.distanceToSquared(Sn))}this.boundingSphere.radius=Math.sqrt(i),isNaN(this.boundingSphere.radius)&&console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The "position" attribute is likely to have NaN values.',this)}}computeTangents(){const e=this.index,t=this.attributes;if(e===null||t.position===void 0||t.normal===void 0||t.uv===void 0){console.error("THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)");return}const r=e.array,i=t.position.array,a=t.normal.array,s=t.uv.array,o=i.length/3;this.hasAttribute("tangent")===!1&&this.setAttribute("tangent",new Yr(new Float32Array(4*o),4));const l=this.getAttribute("tangent").array,u=[],c=[];for(let k=0;k<o;k++)u[k]=new re,c[k]=new re;const h=new re,p=new re,d=new re,m=new kt,y=new kt,g=new kt,_=new re,w=new re;function b(k,j,Q){h.fromArray(i,k*3),p.fromArray(i,j*3),d.fromArray(i,Q*3),m.fromArray(s,k*2),y.fromArray(s,j*2),g.fromArray(s,Q*2),p.sub(h),d.sub(h),y.sub(m),g.sub(m);const ie=1/(y.x*g.y-g.x*y.y);isFinite(ie)&&(_.copy(p).multiplyScalar(g.y).addScaledVector(d,-y.y).multiplyScalar(ie),w.copy(d).multiplyScalar(y.x).addScaledVector(p,-g.x).multiplyScalar(ie),u[k].add(_),u[j].add(_),u[Q].add(_),c[k].add(w),c[j].add(w),c[Q].add(w))}let E=this.groups;E.length===0&&(E=[{start:0,count:r.length}]);for(let k=0,j=E.length;k<j;++k){const Q=E[k],ie=Q.start,F=Q.count;for(let $=ie,L=ie+F;$<L;$+=3)b(r[$+0],r[$+1],r[$+2])}const T=new re,I=new re,C=new re,B=new re;function R(k){C.fromArray(a,k*3),B.copy(C);const j=u[k];T.copy(j),T.sub(C.multiplyScalar(C.dot(j))).normalize(),I.crossVectors(B,j);const ie=I.dot(c[k])<0?-1:1;l[k*4]=T.x,l[k*4+1]=T.y,l[k*4+2]=T.z,l[k*4+3]=ie}for(let k=0,j=E.length;k<j;++k){const Q=E[k],ie=Q.start,F=Q.count;for(let $=ie,L=ie+F;$<L;$+=3)R(r[$+0]),R(r[$+1]),R(r[$+2])}}computeVertexNormals(){const e=this.index,t=this.getAttribute("position");if(t!==void 0){let r=this.getAttribute("normal");if(r===void 0)r=new Yr(new Float32Array(t.count*3),3),this.setAttribute("normal",r);else for(let p=0,d=r.count;p<d;p++)r.setXYZ(p,0,0,0);const i=new re,a=new re,s=new re,o=new re,l=new re,u=new re,c=new re,h=new re;if(e)for(let p=0,d=e.count;p<d;p+=3){const m=e.getX(p+0),y=e.getX(p+1),g=e.getX(p+2);i.fromBufferAttribute(t,m),a.fromBufferAttribute(t,y),s.fromBufferAttribute(t,g),c.subVectors(s,a),h.subVectors(i,a),c.cross(h),o.fromBufferAttribute(r,m),l.fromBufferAttribute(r,y),u.fromBufferAttribute(r,g),o.add(c),l.add(c),u.add(c),r.setXYZ(m,o.x,o.y,o.z),r.setXYZ(y,l.x,l.y,l.z),r.setXYZ(g,u.x,u.y,u.z)}else for(let p=0,d=t.count;p<d;p+=3)i.fromBufferAttribute(t,p+0),a.fromBufferAttribute(t,p+1),s.fromBufferAttribute(t,p+2),c.subVectors(s,a),h.subVectors(i,a),c.cross(h),r.setXYZ(p+0,c.x,c.y,c.z),r.setXYZ(p+1,c.x,c.y,c.z),r.setXYZ(p+2,c.x,c.y,c.z);this.normalizeNormals(),r.needsUpdate=!0}}normalizeNormals(){const e=this.attributes.normal;for(let t=0,r=e.count;t<r;t++)Sn.fromBufferAttribute(e,t),Sn.normalize(),e.setXYZ(t,Sn.x,Sn.y,Sn.z)}toNonIndexed(){function e(o,l){const u=o.array,c=o.itemSize,h=o.normalized,p=new u.constructor(l.length*c);let d=0,m=0;for(let y=0,g=l.length;y<g;y++){o.isInterleavedBufferAttribute?d=l[y]*o.data.stride+o.offset:d=l[y]*c;for(let _=0;_<c;_++)p[m++]=u[d++]}return new Yr(p,c,h)}if(this.index===null)return console.warn("THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed."),this;const t=new Ma,r=this.index.array,i=this.attributes;for(const o in i){const l=i[o],u=e(l,r);t.setAttribute(o,u)}const a=this.morphAttributes;for(const o in a){const l=[],u=a[o];for(let c=0,h=u.length;c<h;c++){const p=u[c],d=e(p,r);l.push(d)}t.morphAttributes[o]=l}t.morphTargetsRelative=this.morphTargetsRelative;const s=this.groups;for(let o=0,l=s.length;o<l;o++){const u=s[o];t.addGroup(u.start,u.count,u.materialIndex)}return t}toJSON(){const e={metadata:{version:4.6,type:"BufferGeometry",generator:"BufferGeometry.toJSON"}};if(e.uuid=this.uuid,e.type=this.type,this.name!==""&&(e.name=this.name),Object.keys(this.userData).length>0&&(e.userData=this.userData),this.parameters!==void 0){const l=this.parameters;for(const u in l)l[u]!==void 0&&(e[u]=l[u]);return e}e.data={attributes:{}};const t=this.index;t!==null&&(e.data.index={type:t.array.constructor.name,array:Array.prototype.slice.call(t.array)});const r=this.attributes;for(const l in r){const u=r[l];e.data.attributes[l]=u.toJSON(e.data)}const i={};let a=!1;for(const l in this.morphAttributes){const u=this.morphAttributes[l],c=[];for(let h=0,p=u.length;h<p;h++){const d=u[h];c.push(d.toJSON(e.data))}c.length>0&&(i[l]=c,a=!0)}a&&(e.data.morphAttributes=i,e.data.morphTargetsRelative=this.morphTargetsRelative);const s=this.groups;s.length>0&&(e.data.groups=JSON.parse(JSON.stringify(s)));const o=this.boundingSphere;return o!==null&&(e.data.boundingSphere={center:o.center.toArray(),radius:o.radius}),e}clone(){return new this.constructor().copy(this)}copy(e){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const t={};this.name=e.name;const r=e.index;r!==null&&this.setIndex(r.clone(t));const i=e.attributes;for(const u in i){const c=i[u];this.setAttribute(u,c.clone(t))}const a=e.morphAttributes;for(const u in a){const c=[],h=a[u];for(let p=0,d=h.length;p<d;p++)c.push(h[p].clone(t));this.morphAttributes[u]=c}this.morphTargetsRelative=e.morphTargetsRelative;const s=e.groups;for(let u=0,c=s.length;u<c;u++){const h=s[u];this.addGroup(h.start,h.count,h.materialIndex)}const o=e.boundingBox;o!==null&&(this.boundingBox=o.clone());const l=e.boundingSphere;return l!==null&&(this.boundingSphere=l.clone()),this.drawRange.start=e.drawRange.start,this.drawRange.count=e.drawRange.count,this.userData=e.userData,this}dispose(){this.dispatchEvent({type:"dispose"})}}const a_=new In,Ki=new kx,sl=new ah,s_=new re,Ha=new re,qa=new re,ja=new re,$c=new re,ol=new re,ll=new kt,ul=new kt,cl=new kt,o_=new re,l_=new re,u_=new re,dl=new re,hl=new re;class hi extends ir{constructor(e=new Ma,t=new Lx){super(),this.isMesh=!0,this.type="Mesh",this.geometry=e,this.material=t,this.updateMorphTargets()}copy(e,t){return super.copy(e,t),e.morphTargetInfluences!==void 0&&(this.morphTargetInfluences=e.morphTargetInfluences.slice()),e.morphTargetDictionary!==void 0&&(this.morphTargetDictionary=Object.assign({},e.morphTargetDictionary)),this.material=Array.isArray(e.material)?e.material.slice():e.material,this.geometry=e.geometry,this}updateMorphTargets(){const t=this.geometry.morphAttributes,r=Object.keys(t);if(r.length>0){const i=t[r[0]];if(i!==void 0){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let a=0,s=i.length;a<s;a++){const o=i[a].name||String(a);this.morphTargetInfluences.push(0),this.morphTargetDictionary[o]=a}}}}getVertexPosition(e,t){const r=this.geometry,i=r.attributes.position,a=r.morphAttributes.position,s=r.morphTargetsRelative;t.fromBufferAttribute(i,e);const o=this.morphTargetInfluences;if(a&&o){ol.set(0,0,0);for(let l=0,u=a.length;l<u;l++){const c=o[l],h=a[l];c!==0&&($c.fromBufferAttribute(h,e),s?ol.addScaledVector($c,c):ol.addScaledVector($c.sub(t),c))}t.add(ol)}return t}raycast(e,t){const r=this.geometry,i=this.material,a=this.matrixWorld;i!==void 0&&(r.boundingSphere===null&&r.computeBoundingSphere(),sl.copy(r.boundingSphere),sl.applyMatrix4(a),Ki.copy(e.ray).recast(e.near),!(sl.containsPoint(Ki.origin)===!1&&(Ki.intersectSphere(sl,s_)===null||Ki.origin.distanceToSquared(s_)>(e.far-e.near)**2))&&(a_.copy(a).invert(),Ki.copy(e.ray).applyMatrix4(a_),!(r.boundingBox!==null&&Ki.intersectsBox(r.boundingBox)===!1)&&this._computeIntersections(e,t,Ki)))}_computeIntersections(e,t,r){let i;const a=this.geometry,s=this.material,o=a.index,l=a.attributes.position,u=a.attributes.uv,c=a.attributes.uv1,h=a.attributes.normal,p=a.groups,d=a.drawRange;if(o!==null)if(Array.isArray(s))for(let m=0,y=p.length;m<y;m++){const g=p[m],_=s[g.materialIndex],w=Math.max(g.start,d.start),b=Math.min(o.count,Math.min(g.start+g.count,d.start+d.count));for(let E=w,T=b;E<T;E+=3){const I=o.getX(E),C=o.getX(E+1),B=o.getX(E+2);i=pl(this,_,e,r,u,c,h,I,C,B),i&&(i.faceIndex=Math.floor(E/3),i.face.materialIndex=g.materialIndex,t.push(i))}}else{const m=Math.max(0,d.start),y=Math.min(o.count,d.start+d.count);for(let g=m,_=y;g<_;g+=3){const w=o.getX(g),b=o.getX(g+1),E=o.getX(g+2);i=pl(this,s,e,r,u,c,h,w,b,E),i&&(i.faceIndex=Math.floor(g/3),t.push(i))}}else if(l!==void 0)if(Array.isArray(s))for(let m=0,y=p.length;m<y;m++){const g=p[m],_=s[g.materialIndex],w=Math.max(g.start,d.start),b=Math.min(l.count,Math.min(g.start+g.count,d.start+d.count));for(let E=w,T=b;E<T;E+=3){const I=E,C=E+1,B=E+2;i=pl(this,_,e,r,u,c,h,I,C,B),i&&(i.faceIndex=Math.floor(E/3),i.face.materialIndex=g.materialIndex,t.push(i))}}else{const m=Math.max(0,d.start),y=Math.min(l.count,d.start+d.count);for(let g=m,_=y;g<_;g+=3){const w=g,b=g+1,E=g+2;i=pl(this,s,e,r,u,c,h,w,b,E),i&&(i.faceIndex=Math.floor(g/3),t.push(i))}}}}function ZP(n,e,t,r,i,a,s,o){let l;if(e.side===rr?l=r.intersectTriangle(s,a,i,!0,o):l=r.intersectTriangle(i,a,s,e.side===Ui,o),l===null)return null;hl.copy(o),hl.applyMatrix4(n.matrixWorld);const u=t.ray.origin.distanceTo(hl);return u<t.near||u>t.far?null:{distance:u,point:hl.clone(),object:n}}function pl(n,e,t,r,i,a,s,o,l,u){n.getVertexPosition(o,Ha),n.getVertexPosition(l,qa),n.getVertexPosition(u,ja);const c=ZP(n,e,t,r,Ha,qa,ja,dl);if(c){i&&(ll.fromBufferAttribute(i,o),ul.fromBufferAttribute(i,l),cl.fromBufferAttribute(i,u),c.uv=Or.getInterpolation(dl,Ha,qa,ja,ll,ul,cl,new kt)),a&&(ll.fromBufferAttribute(a,o),ul.fromBufferAttribute(a,l),cl.fromBufferAttribute(a,u),c.uv1=Or.getInterpolation(dl,Ha,qa,ja,ll,ul,cl,new kt),c.uv2=c.uv1),s&&(o_.fromBufferAttribute(s,o),l_.fromBufferAttribute(s,l),u_.fromBufferAttribute(s,u),c.normal=Or.getInterpolation(dl,Ha,qa,ja,o_,l_,u_,new re),c.normal.dot(r.direction)>0&&c.normal.multiplyScalar(-1));const h={a:o,b:l,c:u,normal:new re,materialIndex:0};Or.getNormal(Ha,qa,ja,h.normal),c.face=h}return c}class Ao extends Ma{constructor(e=1,t=1,r=1,i=1,a=1,s=1){super(),this.type="BoxGeometry",this.parameters={width:e,height:t,depth:r,widthSegments:i,heightSegments:a,depthSegments:s};const o=this;i=Math.floor(i),a=Math.floor(a),s=Math.floor(s);const l=[],u=[],c=[],h=[];let p=0,d=0;m("z","y","x",-1,-1,r,t,e,s,a,0),m("z","y","x",1,-1,r,t,-e,s,a,1),m("x","z","y",1,1,e,r,t,i,s,2),m("x","z","y",1,-1,e,r,-t,i,s,3),m("x","y","z",1,-1,e,t,r,i,a,4),m("x","y","z",-1,-1,e,t,-r,i,a,5),this.setIndex(l),this.setAttribute("position",new ha(u,3)),this.setAttribute("normal",new ha(c,3)),this.setAttribute("uv",new ha(h,2));function m(y,g,_,w,b,E,T,I,C,B,R){const k=E/C,j=T/B,Q=E/2,ie=T/2,F=I/2,$=C+1,L=B+1;let H=0,K=0;const X=new re;for(let J=0;J<L;J++){const W=J*j-ie;for(let ae=0;ae<$;ae++){const Z=ae*k-Q;X[y]=Z*w,X[g]=W*b,X[_]=F,u.push(X.x,X.y,X.z),X[y]=0,X[g]=0,X[_]=I>0?1:-1,c.push(X.x,X.y,X.z),h.push(ae/C),h.push(1-J/B),H+=1}}for(let J=0;J<B;J++)for(let W=0;W<C;W++){const ae=p+W+$*J,Z=p+W+$*(J+1),de=p+(W+1)+$*(J+1),ye=p+(W+1)+$*J;l.push(ae,Z,ye),l.push(Z,de,ye),K+=6}o.addGroup(d,K,R),d+=K,p+=H}}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new Ao(e.width,e.height,e.depth,e.widthSegments,e.heightSegments,e.depthSegments)}}function ps(n){const e={};for(const t in n){e[t]={};for(const r in n[t]){const i=n[t][r];i&&(i.isColor||i.isMatrix3||i.isMatrix4||i.isVector2||i.isVector3||i.isVector4||i.isTexture||i.isQuaternion)?i.isRenderTargetTexture?(console.warn("UniformsUtils: Textures of render targets cannot be cloned via cloneUniforms() or mergeUniforms()."),e[t][r]=null):e[t][r]=i.clone():Array.isArray(i)?e[t][r]=i.slice():e[t][r]=i}}return e}function Vn(n){const e={};for(let t=0;t<n.length;t++){const r=ps(n[t]);for(const i in r)e[i]=r[i]}return e}function QP(n){const e=[];for(let t=0;t<n.length;t++)e.push(n[t].clone());return e}function Ux(n){return n.getRenderTarget()===null?n.outputColorSpace:Qt.workingColorSpace}const JP={clone:ps,merge:Vn};var ek=`void main() {
	gl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );
}`,tk=`void main() {
	gl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );
}`;class va extends To{constructor(e){super(),this.isShaderMaterial=!0,this.type="ShaderMaterial",this.defines={},this.uniforms={},this.uniformsGroups=[],this.vertexShader=ek,this.fragmentShader=tk,this.linewidth=1,this.wireframe=!1,this.wireframeLinewidth=1,this.fog=!1,this.lights=!1,this.clipping=!1,this.forceSinglePass=!0,this.extensions={derivatives:!1,fragDepth:!1,drawBuffers:!1,shaderTextureLOD:!1,clipCullDistance:!1},this.defaultAttributeValues={color:[1,1,1],uv:[0,0],uv1:[0,0]},this.index0AttributeName=void 0,this.uniformsNeedUpdate=!1,this.glslVersion=null,e!==void 0&&this.setValues(e)}copy(e){return super.copy(e),this.fragmentShader=e.fragmentShader,this.vertexShader=e.vertexShader,this.uniforms=ps(e.uniforms),this.uniformsGroups=QP(e.uniformsGroups),this.defines=Object.assign({},e.defines),this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this.fog=e.fog,this.lights=e.lights,this.clipping=e.clipping,this.extensions=Object.assign({},e.extensions),this.glslVersion=e.glslVersion,this}toJSON(e){const t=super.toJSON(e);t.glslVersion=this.glslVersion,t.uniforms={};for(const i in this.uniforms){const s=this.uniforms[i].value;s&&s.isTexture?t.uniforms[i]={type:"t",value:s.toJSON(e).uuid}:s&&s.isColor?t.uniforms[i]={type:"c",value:s.getHex()}:s&&s.isVector2?t.uniforms[i]={type:"v2",value:s.toArray()}:s&&s.isVector3?t.uniforms[i]={type:"v3",value:s.toArray()}:s&&s.isVector4?t.uniforms[i]={type:"v4",value:s.toArray()}:s&&s.isMatrix3?t.uniforms[i]={type:"m3",value:s.toArray()}:s&&s.isMatrix4?t.uniforms[i]={type:"m4",value:s.toArray()}:t.uniforms[i]={value:s}}Object.keys(this.defines).length>0&&(t.defines=this.defines),t.vertexShader=this.vertexShader,t.fragmentShader=this.fragmentShader,t.lights=this.lights,t.clipping=this.clipping;const r={};for(const i in this.extensions)this.extensions[i]===!0&&(r[i]=!0);return Object.keys(r).length>0&&(t.extensions=r),t}}class Bx extends ir{constructor(){super(),this.isCamera=!0,this.type="Camera",this.matrixWorldInverse=new In,this.projectionMatrix=new In,this.projectionMatrixInverse=new In,this.coordinateSystem=di}copy(e,t){return super.copy(e,t),this.matrixWorldInverse.copy(e.matrixWorldInverse),this.projectionMatrix.copy(e.projectionMatrix),this.projectionMatrixInverse.copy(e.projectionMatrixInverse),this.coordinateSystem=e.coordinateSystem,this}getWorldDirection(e){return super.getWorldDirection(e).negate()}updateMatrixWorld(e){super.updateMatrixWorld(e),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(e,t){super.updateWorldMatrix(e,t),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return new this.constructor().copy(this)}}class gr extends Bx{constructor(e=50,t=1,r=.1,i=2e3){super(),this.isPerspectiveCamera=!0,this.type="PerspectiveCamera",this.fov=e,this.zoom=1,this.near=r,this.far=i,this.focus=10,this.aspect=t,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.fov=e.fov,this.zoom=e.zoom,this.near=e.near,this.far=e.far,this.focus=e.focus,this.aspect=e.aspect,this.view=e.view===null?null:Object.assign({},e.view),this.filmGauge=e.filmGauge,this.filmOffset=e.filmOffset,this}setFocalLength(e){const t=.5*this.getFilmHeight()/e;this.fov=ro*2*Math.atan(t),this.updateProjectionMatrix()}getFocalLength(){const e=Math.tan(Vs*.5*this.fov);return .5*this.getFilmHeight()/e}getEffectiveFOV(){return ro*2*Math.atan(Math.tan(Vs*.5*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}setViewOffset(e,t,r,i,a,s){this.aspect=e/t,this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=r,this.view.offsetY=i,this.view.width=a,this.view.height=s,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const e=this.near;let t=e*Math.tan(Vs*.5*this.fov)/this.zoom,r=2*t,i=this.aspect*r,a=-.5*i;const s=this.view;if(this.view!==null&&this.view.enabled){const l=s.fullWidth,u=s.fullHeight;a+=s.offsetX*i/l,t-=s.offsetY*r/u,i*=s.width/l,r*=s.height/u}const o=this.filmOffset;o!==0&&(a+=e*o/this.getFilmWidth()),this.projectionMatrix.makePerspective(a,a+i,t,t-r,e,this.far,this.coordinateSystem),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){const t=super.toJSON(e);return t.object.fov=this.fov,t.object.zoom=this.zoom,t.object.near=this.near,t.object.far=this.far,t.object.focus=this.focus,t.object.aspect=this.aspect,this.view!==null&&(t.object.view=Object.assign({},this.view)),t.object.filmGauge=this.filmGauge,t.object.filmOffset=this.filmOffset,t}}const Xa=-90,Ya=1;class nk extends ir{constructor(e,t,r){super(),this.type="CubeCamera",this.renderTarget=r,this.coordinateSystem=null,this.activeMipmapLevel=0;const i=new gr(Xa,Ya,e,t);i.layers=this.layers,this.add(i);const a=new gr(Xa,Ya,e,t);a.layers=this.layers,this.add(a);const s=new gr(Xa,Ya,e,t);s.layers=this.layers,this.add(s);const o=new gr(Xa,Ya,e,t);o.layers=this.layers,this.add(o);const l=new gr(Xa,Ya,e,t);l.layers=this.layers,this.add(l);const u=new gr(Xa,Ya,e,t);u.layers=this.layers,this.add(u)}updateCoordinateSystem(){const e=this.coordinateSystem,t=this.children.concat(),[r,i,a,s,o,l]=t;for(const u of t)this.remove(u);if(e===di)r.up.set(0,1,0),r.lookAt(1,0,0),i.up.set(0,1,0),i.lookAt(-1,0,0),a.up.set(0,0,-1),a.lookAt(0,1,0),s.up.set(0,0,1),s.lookAt(0,-1,0),o.up.set(0,1,0),o.lookAt(0,0,1),l.up.set(0,1,0),l.lookAt(0,0,-1);else if(e===Kl)r.up.set(0,-1,0),r.lookAt(-1,0,0),i.up.set(0,-1,0),i.lookAt(1,0,0),a.up.set(0,0,1),a.lookAt(0,1,0),s.up.set(0,0,-1),s.lookAt(0,-1,0),o.up.set(0,-1,0),o.lookAt(0,0,1),l.up.set(0,-1,0),l.lookAt(0,0,-1);else throw new Error("THREE.CubeCamera.updateCoordinateSystem(): Invalid coordinate system: "+e);for(const u of t)this.add(u),u.updateMatrixWorld()}update(e,t){this.parent===null&&this.updateMatrixWorld();const{renderTarget:r,activeMipmapLevel:i}=this;this.coordinateSystem!==e.coordinateSystem&&(this.coordinateSystem=e.coordinateSystem,this.updateCoordinateSystem());const[a,s,o,l,u,c]=this.children,h=e.getRenderTarget(),p=e.getActiveCubeFace(),d=e.getActiveMipmapLevel(),m=e.xr.enabled;e.xr.enabled=!1;const y=r.texture.generateMipmaps;r.texture.generateMipmaps=!1,e.setRenderTarget(r,0,i),e.render(t,a),e.setRenderTarget(r,1,i),e.render(t,s),e.setRenderTarget(r,2,i),e.render(t,o),e.setRenderTarget(r,3,i),e.render(t,l),e.setRenderTarget(r,4,i),e.render(t,u),r.texture.generateMipmaps=y,e.setRenderTarget(r,5,i),e.render(t,c),e.setRenderTarget(h,p,d),e.xr.enabled=m,r.texture.needsPMREMUpdate=!0}}class Fx extends Xn{constructor(e,t,r,i,a,s,o,l,u,c){e=e!==void 0?e:[],t=t!==void 0?t:cs,super(e,t,r,i,a,s,o,l,u,c),this.isCubeTexture=!0,this.flipY=!1}get images(){return this.image}set images(e){this.image=e}}class rk extends _a{constructor(e=1,t={}){super(e,e,t),this.isWebGLCubeRenderTarget=!0;const r={width:e,height:e,depth:1},i=[r,r,r,r,r,r];t.encoding!==void 0&&(qs("THREE.WebGLCubeRenderTarget: option.encoding has been replaced by option.colorSpace."),t.colorSpace=t.encoding===da?En:_r),this.texture=new Fx(i,t.mapping,t.wrapS,t.wrapT,t.magFilter,t.minFilter,t.format,t.type,t.anisotropy,t.colorSpace),this.texture.isRenderTargetTexture=!0,this.texture.generateMipmaps=t.generateMipmaps!==void 0?t.generateMipmaps:!1,this.texture.minFilter=t.minFilter!==void 0?t.minFilter:mr}fromEquirectangularTexture(e,t){this.texture.type=t.type,this.texture.colorSpace=t.colorSpace,this.texture.generateMipmaps=t.generateMipmaps,this.texture.minFilter=t.minFilter,this.texture.magFilter=t.magFilter;const r={uniforms:{tEquirect:{value:null}},vertexShader:`

				varying vec3 vWorldDirection;

				vec3 transformDirection( in vec3 dir, in mat4 matrix ) {

					return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );

				}

				void main() {

					vWorldDirection = transformDirection( position, modelMatrix );

					#include <begin_vertex>
					#include <project_vertex>

				}
			`,fragmentShader:`

				uniform sampler2D tEquirect;

				varying vec3 vWorldDirection;

				#include <common>

				void main() {

					vec3 direction = normalize( vWorldDirection );

					vec2 sampleUV = equirectUv( direction );

					gl_FragColor = texture2D( tEquirect, sampleUV );

				}
			`},i=new Ao(5,5,5),a=new va({name:"CubemapFromEquirect",uniforms:ps(r.uniforms),vertexShader:r.vertexShader,fragmentShader:r.fragmentShader,side:rr,blending:Oi});a.uniforms.tEquirect.value=t;const s=new hi(i,a),o=t.minFilter;return t.minFilter===to&&(t.minFilter=mr),new nk(1,10,this).update(e,s),t.minFilter=o,s.geometry.dispose(),s.material.dispose(),this}clear(e,t,r,i){const a=e.getRenderTarget();for(let s=0;s<6;s++)e.setRenderTarget(this,s),e.clear(t,r,i);e.setRenderTarget(a)}}const Rc=new re,ik=new re,ak=new Lt;class Ri{constructor(e=new re(1,0,0),t=0){this.isPlane=!0,this.normal=e,this.constant=t}set(e,t){return this.normal.copy(e),this.constant=t,this}setComponents(e,t,r,i){return this.normal.set(e,t,r),this.constant=i,this}setFromNormalAndCoplanarPoint(e,t){return this.normal.copy(e),this.constant=-t.dot(this.normal),this}setFromCoplanarPoints(e,t,r){const i=Rc.subVectors(r,t).cross(ik.subVectors(e,t)).normalize();return this.setFromNormalAndCoplanarPoint(i,e),this}copy(e){return this.normal.copy(e.normal),this.constant=e.constant,this}normalize(){const e=1/this.normal.length();return this.normal.multiplyScalar(e),this.constant*=e,this}negate(){return this.constant*=-1,this.normal.negate(),this}distanceToPoint(e){return this.normal.dot(e)+this.constant}distanceToSphere(e){return this.distanceToPoint(e.center)-e.radius}projectPoint(e,t){return t.copy(e).addScaledVector(this.normal,-this.distanceToPoint(e))}intersectLine(e,t){const r=e.delta(Rc),i=this.normal.dot(r);if(i===0)return this.distanceToPoint(e.start)===0?t.copy(e.start):null;const a=-(e.start.dot(this.normal)+this.constant)/i;return a<0||a>1?null:t.copy(e.start).addScaledVector(r,a)}intersectsLine(e){const t=this.distanceToPoint(e.start),r=this.distanceToPoint(e.end);return t<0&&r>0||r<0&&t>0}intersectsBox(e){return e.intersectsPlane(this)}intersectsSphere(e){return e.intersectsPlane(this)}coplanarPoint(e){return e.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(e,t){const r=t||ak.getNormalMatrix(e),i=this.coplanarPoint(Rc).applyMatrix4(e),a=this.normal.applyMatrix3(r).normalize();return this.constant=-i.dot(a),this}translate(e){return this.constant-=e.dot(this.normal),this}equals(e){return e.normal.equals(this.normal)&&e.constant===this.constant}clone(){return new this.constructor().copy(this)}}const Zi=new ah,fl=new re;class Gx{constructor(e=new Ri,t=new Ri,r=new Ri,i=new Ri,a=new Ri,s=new Ri){this.planes=[e,t,r,i,a,s]}set(e,t,r,i,a,s){const o=this.planes;return o[0].copy(e),o[1].copy(t),o[2].copy(r),o[3].copy(i),o[4].copy(a),o[5].copy(s),this}copy(e){const t=this.planes;for(let r=0;r<6;r++)t[r].copy(e.planes[r]);return this}setFromProjectionMatrix(e,t=di){const r=this.planes,i=e.elements,a=i[0],s=i[1],o=i[2],l=i[3],u=i[4],c=i[5],h=i[6],p=i[7],d=i[8],m=i[9],y=i[10],g=i[11],_=i[12],w=i[13],b=i[14],E=i[15];if(r[0].setComponents(l-a,p-u,g-d,E-_).normalize(),r[1].setComponents(l+a,p+u,g+d,E+_).normalize(),r[2].setComponents(l+s,p+c,g+m,E+w).normalize(),r[3].setComponents(l-s,p-c,g-m,E-w).normalize(),r[4].setComponents(l-o,p-h,g-y,E-b).normalize(),t===di)r[5].setComponents(l+o,p+h,g+y,E+b).normalize();else if(t===Kl)r[5].setComponents(o,h,y,b).normalize();else throw new Error("THREE.Frustum.setFromProjectionMatrix(): Invalid coordinate system: "+t);return this}intersectsObject(e){if(e.boundingSphere!==void 0)e.boundingSphere===null&&e.computeBoundingSphere(),Zi.copy(e.boundingSphere).applyMatrix4(e.matrixWorld);else{const t=e.geometry;t.boundingSphere===null&&t.computeBoundingSphere(),Zi.copy(t.boundingSphere).applyMatrix4(e.matrixWorld)}return this.intersectsSphere(Zi)}intersectsSprite(e){return Zi.center.set(0,0,0),Zi.radius=.7071067811865476,Zi.applyMatrix4(e.matrixWorld),this.intersectsSphere(Zi)}intersectsSphere(e){const t=this.planes,r=e.center,i=-e.radius;for(let a=0;a<6;a++)if(t[a].distanceToPoint(r)<i)return!1;return!0}intersectsBox(e){const t=this.planes;for(let r=0;r<6;r++){const i=t[r];if(fl.x=i.normal.x>0?e.max.x:e.min.x,fl.y=i.normal.y>0?e.max.y:e.min.y,fl.z=i.normal.z>0?e.max.z:e.min.z,i.distanceToPoint(fl)<0)return!1}return!0}containsPoint(e){const t=this.planes;for(let r=0;r<6;r++)if(t[r].distanceToPoint(e)<0)return!1;return!0}clone(){return new this.constructor().copy(this)}}function Wx(){let n=null,e=!1,t=null,r=null;function i(a,s){t(a,s),r=n.requestAnimationFrame(i)}return{start:function(){e!==!0&&t!==null&&(r=n.requestAnimationFrame(i),e=!0)},stop:function(){n.cancelAnimationFrame(r),e=!1},setAnimationLoop:function(a){t=a},setContext:function(a){n=a}}}function sk(n,e){const t=e.isWebGL2,r=new WeakMap;function i(u,c){const h=u.array,p=u.usage,d=h.byteLength,m=n.createBuffer();n.bindBuffer(c,m),n.bufferData(c,h,p),u.onUploadCallback();let y;if(h instanceof Float32Array)y=n.FLOAT;else if(h instanceof Uint16Array)if(u.isFloat16BufferAttribute)if(t)y=n.HALF_FLOAT;else throw new Error("THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.");else y=n.UNSIGNED_SHORT;else if(h instanceof Int16Array)y=n.SHORT;else if(h instanceof Uint32Array)y=n.UNSIGNED_INT;else if(h instanceof Int32Array)y=n.INT;else if(h instanceof Int8Array)y=n.BYTE;else if(h instanceof Uint8Array)y=n.UNSIGNED_BYTE;else if(h instanceof Uint8ClampedArray)y=n.UNSIGNED_BYTE;else throw new Error("THREE.WebGLAttributes: Unsupported buffer data format: "+h);return{buffer:m,type:y,bytesPerElement:h.BYTES_PER_ELEMENT,version:u.version,size:d}}function a(u,c,h){const p=c.array,d=c._updateRange,m=c.updateRanges;if(n.bindBuffer(h,u),d.count===-1&&m.length===0&&n.bufferSubData(h,0,p),m.length!==0){for(let y=0,g=m.length;y<g;y++){const _=m[y];t?n.bufferSubData(h,_.start*p.BYTES_PER_ELEMENT,p,_.start,_.count):n.bufferSubData(h,_.start*p.BYTES_PER_ELEMENT,p.subarray(_.start,_.start+_.count))}c.clearUpdateRanges()}d.count!==-1&&(t?n.bufferSubData(h,d.offset*p.BYTES_PER_ELEMENT,p,d.offset,d.count):n.bufferSubData(h,d.offset*p.BYTES_PER_ELEMENT,p.subarray(d.offset,d.offset+d.count)),d.count=-1),c.onUploadCallback()}function s(u){return u.isInterleavedBufferAttribute&&(u=u.data),r.get(u)}function o(u){u.isInterleavedBufferAttribute&&(u=u.data);const c=r.get(u);c&&(n.deleteBuffer(c.buffer),r.delete(u))}function l(u,c){if(u.isGLBufferAttribute){const p=r.get(u);(!p||p.version<u.version)&&r.set(u,{buffer:u.buffer,type:u.type,bytesPerElement:u.elementSize,version:u.version});return}u.isInterleavedBufferAttribute&&(u=u.data);const h=r.get(u);if(h===void 0)r.set(u,i(u,c));else if(h.version<u.version){if(h.size!==u.array.byteLength)throw new Error("THREE.WebGLAttributes: The size of the buffer attribute's array buffer does not match the original size. Resizing buffer attributes is not supported.");a(h.buffer,u,c),h.version=u.version}}return{get:s,remove:o,update:l}}class mu extends Ma{constructor(e=1,t=1,r=1,i=1){super(),this.type="PlaneGeometry",this.parameters={width:e,height:t,widthSegments:r,heightSegments:i};const a=e/2,s=t/2,o=Math.floor(r),l=Math.floor(i),u=o+1,c=l+1,h=e/o,p=t/l,d=[],m=[],y=[],g=[];for(let _=0;_<c;_++){const w=_*p-s;for(let b=0;b<u;b++){const E=b*h-a;m.push(E,-w,0),y.push(0,0,1),g.push(b/o),g.push(1-_/l)}}for(let _=0;_<l;_++)for(let w=0;w<o;w++){const b=w+u*_,E=w+u*(_+1),T=w+1+u*(_+1),I=w+1+u*_;d.push(b,E,I),d.push(E,T,I)}this.setIndex(d),this.setAttribute("position",new ha(m,3)),this.setAttribute("normal",new ha(y,3)),this.setAttribute("uv",new ha(g,2))}copy(e){return super.copy(e),this.parameters=Object.assign({},e.parameters),this}static fromJSON(e){return new mu(e.width,e.height,e.widthSegments,e.heightSegments)}}var ok=`#ifdef USE_ALPHAHASH
	if ( diffuseColor.a < getAlphaHashThreshold( vPosition ) ) discard;
#endif`,lk=`#ifdef USE_ALPHAHASH
	const float ALPHA_HASH_SCALE = 0.05;
	float hash2D( vec2 value ) {
		return fract( 1.0e4 * sin( 17.0 * value.x + 0.1 * value.y ) * ( 0.1 + abs( sin( 13.0 * value.y + value.x ) ) ) );
	}
	float hash3D( vec3 value ) {
		return hash2D( vec2( hash2D( value.xy ), value.z ) );
	}
	float getAlphaHashThreshold( vec3 position ) {
		float maxDeriv = max(
			length( dFdx( position.xyz ) ),
			length( dFdy( position.xyz ) )
		);
		float pixScale = 1.0 / ( ALPHA_HASH_SCALE * maxDeriv );
		vec2 pixScales = vec2(
			exp2( floor( log2( pixScale ) ) ),
			exp2( ceil( log2( pixScale ) ) )
		);
		vec2 alpha = vec2(
			hash3D( floor( pixScales.x * position.xyz ) ),
			hash3D( floor( pixScales.y * position.xyz ) )
		);
		float lerpFactor = fract( log2( pixScale ) );
		float x = ( 1.0 - lerpFactor ) * alpha.x + lerpFactor * alpha.y;
		float a = min( lerpFactor, 1.0 - lerpFactor );
		vec3 cases = vec3(
			x * x / ( 2.0 * a * ( 1.0 - a ) ),
			( x - 0.5 * a ) / ( 1.0 - a ),
			1.0 - ( ( 1.0 - x ) * ( 1.0 - x ) / ( 2.0 * a * ( 1.0 - a ) ) )
		);
		float threshold = ( x < ( 1.0 - a ) )
			? ( ( x < a ) ? cases.x : cases.y )
			: cases.z;
		return clamp( threshold , 1.0e-6, 1.0 );
	}
#endif`,uk=`#ifdef USE_ALPHAMAP
	diffuseColor.a *= texture2D( alphaMap, vAlphaMapUv ).g;
#endif`,ck=`#ifdef USE_ALPHAMAP
	uniform sampler2D alphaMap;
#endif`,dk=`#ifdef USE_ALPHATEST
	if ( diffuseColor.a < alphaTest ) discard;
#endif`,hk=`#ifdef USE_ALPHATEST
	uniform float alphaTest;
#endif`,pk=`#ifdef USE_AOMAP
	float ambientOcclusion = ( texture2D( aoMap, vAoMapUv ).r - 1.0 ) * aoMapIntensity + 1.0;
	reflectedLight.indirectDiffuse *= ambientOcclusion;
	#if defined( USE_CLEARCOAT ) 
		clearcoatSpecularIndirect *= ambientOcclusion;
	#endif
	#if defined( USE_SHEEN ) 
		sheenSpecularIndirect *= ambientOcclusion;
	#endif
	#if defined( USE_ENVMAP ) && defined( STANDARD )
		float dotNV = saturate( dot( geometryNormal, geometryViewDir ) );
		reflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );
	#endif
#endif`,fk=`#ifdef USE_AOMAP
	uniform sampler2D aoMap;
	uniform float aoMapIntensity;
#endif`,mk=`#ifdef USE_BATCHING
	attribute float batchId;
	uniform highp sampler2D batchingTexture;
	mat4 getBatchingMatrix( const in float i ) {
		int size = textureSize( batchingTexture, 0 ).x;
		int j = int( i ) * 4;
		int x = j % size;
		int y = j / size;
		vec4 v1 = texelFetch( batchingTexture, ivec2( x, y ), 0 );
		vec4 v2 = texelFetch( batchingTexture, ivec2( x + 1, y ), 0 );
		vec4 v3 = texelFetch( batchingTexture, ivec2( x + 2, y ), 0 );
		vec4 v4 = texelFetch( batchingTexture, ivec2( x + 3, y ), 0 );
		return mat4( v1, v2, v3, v4 );
	}
#endif`,gk=`#ifdef USE_BATCHING
	mat4 batchingMatrix = getBatchingMatrix( batchId );
#endif`,_k=`vec3 transformed = vec3( position );
#ifdef USE_ALPHAHASH
	vPosition = vec3( position );
#endif`,yk=`vec3 objectNormal = vec3( normal );
#ifdef USE_TANGENT
	vec3 objectTangent = vec3( tangent.xyz );
#endif`,vk=`float G_BlinnPhong_Implicit( ) {
	return 0.25;
}
float D_BlinnPhong( const in float shininess, const in float dotNH ) {
	return RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );
}
vec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNH = saturate( dot( normal, halfDir ) );
	float dotVH = saturate( dot( viewDir, halfDir ) );
	vec3 F = F_Schlick( specularColor, 1.0, dotVH );
	float G = G_BlinnPhong_Implicit( );
	float D = D_BlinnPhong( shininess, dotNH );
	return F * ( G * D );
} // validated`,wk=`#ifdef USE_IRIDESCENCE
	const mat3 XYZ_TO_REC709 = mat3(
		 3.2404542, -0.9692660,  0.0556434,
		-1.5371385,  1.8760108, -0.2040259,
		-0.4985314,  0.0415560,  1.0572252
	);
	vec3 Fresnel0ToIor( vec3 fresnel0 ) {
		vec3 sqrtF0 = sqrt( fresnel0 );
		return ( vec3( 1.0 ) + sqrtF0 ) / ( vec3( 1.0 ) - sqrtF0 );
	}
	vec3 IorToFresnel0( vec3 transmittedIor, float incidentIor ) {
		return pow2( ( transmittedIor - vec3( incidentIor ) ) / ( transmittedIor + vec3( incidentIor ) ) );
	}
	float IorToFresnel0( float transmittedIor, float incidentIor ) {
		return pow2( ( transmittedIor - incidentIor ) / ( transmittedIor + incidentIor ));
	}
	vec3 evalSensitivity( float OPD, vec3 shift ) {
		float phase = 2.0 * PI * OPD * 1.0e-9;
		vec3 val = vec3( 5.4856e-13, 4.4201e-13, 5.2481e-13 );
		vec3 pos = vec3( 1.6810e+06, 1.7953e+06, 2.2084e+06 );
		vec3 var = vec3( 4.3278e+09, 9.3046e+09, 6.6121e+09 );
		vec3 xyz = val * sqrt( 2.0 * PI * var ) * cos( pos * phase + shift ) * exp( - pow2( phase ) * var );
		xyz.x += 9.7470e-14 * sqrt( 2.0 * PI * 4.5282e+09 ) * cos( 2.2399e+06 * phase + shift[ 0 ] ) * exp( - 4.5282e+09 * pow2( phase ) );
		xyz /= 1.0685e-7;
		vec3 rgb = XYZ_TO_REC709 * xyz;
		return rgb;
	}
	vec3 evalIridescence( float outsideIOR, float eta2, float cosTheta1, float thinFilmThickness, vec3 baseF0 ) {
		vec3 I;
		float iridescenceIOR = mix( outsideIOR, eta2, smoothstep( 0.0, 0.03, thinFilmThickness ) );
		float sinTheta2Sq = pow2( outsideIOR / iridescenceIOR ) * ( 1.0 - pow2( cosTheta1 ) );
		float cosTheta2Sq = 1.0 - sinTheta2Sq;
		if ( cosTheta2Sq < 0.0 ) {
			return vec3( 1.0 );
		}
		float cosTheta2 = sqrt( cosTheta2Sq );
		float R0 = IorToFresnel0( iridescenceIOR, outsideIOR );
		float R12 = F_Schlick( R0, 1.0, cosTheta1 );
		float T121 = 1.0 - R12;
		float phi12 = 0.0;
		if ( iridescenceIOR < outsideIOR ) phi12 = PI;
		float phi21 = PI - phi12;
		vec3 baseIOR = Fresnel0ToIor( clamp( baseF0, 0.0, 0.9999 ) );		vec3 R1 = IorToFresnel0( baseIOR, iridescenceIOR );
		vec3 R23 = F_Schlick( R1, 1.0, cosTheta2 );
		vec3 phi23 = vec3( 0.0 );
		if ( baseIOR[ 0 ] < iridescenceIOR ) phi23[ 0 ] = PI;
		if ( baseIOR[ 1 ] < iridescenceIOR ) phi23[ 1 ] = PI;
		if ( baseIOR[ 2 ] < iridescenceIOR ) phi23[ 2 ] = PI;
		float OPD = 2.0 * iridescenceIOR * thinFilmThickness * cosTheta2;
		vec3 phi = vec3( phi21 ) + phi23;
		vec3 R123 = clamp( R12 * R23, 1e-5, 0.9999 );
		vec3 r123 = sqrt( R123 );
		vec3 Rs = pow2( T121 ) * R23 / ( vec3( 1.0 ) - R123 );
		vec3 C0 = R12 + Rs;
		I = C0;
		vec3 Cm = Rs - T121;
		for ( int m = 1; m <= 2; ++ m ) {
			Cm *= r123;
			vec3 Sm = 2.0 * evalSensitivity( float( m ) * OPD, float( m ) * phi );
			I += Cm * Sm;
		}
		return max( I, vec3( 0.0 ) );
	}
#endif`,bk=`#ifdef USE_BUMPMAP
	uniform sampler2D bumpMap;
	uniform float bumpScale;
	vec2 dHdxy_fwd() {
		vec2 dSTdx = dFdx( vBumpMapUv );
		vec2 dSTdy = dFdy( vBumpMapUv );
		float Hll = bumpScale * texture2D( bumpMap, vBumpMapUv ).x;
		float dBx = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdx ).x - Hll;
		float dBy = bumpScale * texture2D( bumpMap, vBumpMapUv + dSTdy ).x - Hll;
		return vec2( dBx, dBy );
	}
	vec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {
		vec3 vSigmaX = normalize( dFdx( surf_pos.xyz ) );
		vec3 vSigmaY = normalize( dFdy( surf_pos.xyz ) );
		vec3 vN = surf_norm;
		vec3 R1 = cross( vSigmaY, vN );
		vec3 R2 = cross( vN, vSigmaX );
		float fDet = dot( vSigmaX, R1 ) * faceDirection;
		vec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );
		return normalize( abs( fDet ) * surf_norm - vGrad );
	}
#endif`,xk=`#if NUM_CLIPPING_PLANES > 0
	vec4 plane;
	#pragma unroll_loop_start
	for ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {
		plane = clippingPlanes[ i ];
		if ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;
	}
	#pragma unroll_loop_end
	#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES
		bool clipped = true;
		#pragma unroll_loop_start
		for ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {
			plane = clippingPlanes[ i ];
			clipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;
		}
		#pragma unroll_loop_end
		if ( clipped ) discard;
	#endif
#endif`,Sk=`#if NUM_CLIPPING_PLANES > 0
	varying vec3 vClipPosition;
	uniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];
#endif`,Ek=`#if NUM_CLIPPING_PLANES > 0
	varying vec3 vClipPosition;
#endif`,Mk=`#if NUM_CLIPPING_PLANES > 0
	vClipPosition = - mvPosition.xyz;
#endif`,Tk=`#if defined( USE_COLOR_ALPHA )
	diffuseColor *= vColor;
#elif defined( USE_COLOR )
	diffuseColor.rgb *= vColor;
#endif`,Ak=`#if defined( USE_COLOR_ALPHA )
	varying vec4 vColor;
#elif defined( USE_COLOR )
	varying vec3 vColor;
#endif`,Ck=`#if defined( USE_COLOR_ALPHA )
	varying vec4 vColor;
#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )
	varying vec3 vColor;
#endif`,$k=`#if defined( USE_COLOR_ALPHA )
	vColor = vec4( 1.0 );
#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )
	vColor = vec3( 1.0 );
#endif
#ifdef USE_COLOR
	vColor *= color;
#endif
#ifdef USE_INSTANCING_COLOR
	vColor.xyz *= instanceColor.xyz;
#endif`,Rk=`#define PI 3.141592653589793
#define PI2 6.283185307179586
#define PI_HALF 1.5707963267948966
#define RECIPROCAL_PI 0.3183098861837907
#define RECIPROCAL_PI2 0.15915494309189535
#define EPSILON 1e-6
#ifndef saturate
#define saturate( a ) clamp( a, 0.0, 1.0 )
#endif
#define whiteComplement( a ) ( 1.0 - saturate( a ) )
float pow2( const in float x ) { return x*x; }
vec3 pow2( const in vec3 x ) { return x*x; }
float pow3( const in float x ) { return x*x*x; }
float pow4( const in float x ) { float x2 = x*x; return x2*x2; }
float max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }
float average( const in vec3 v ) { return dot( v, vec3( 0.3333333 ) ); }
highp float rand( const in vec2 uv ) {
	const highp float a = 12.9898, b = 78.233, c = 43758.5453;
	highp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );
	return fract( sin( sn ) * c );
}
#ifdef HIGH_PRECISION
	float precisionSafeLength( vec3 v ) { return length( v ); }
#else
	float precisionSafeLength( vec3 v ) {
		float maxComponent = max3( abs( v ) );
		return length( v / maxComponent ) * maxComponent;
	}
#endif
struct IncidentLight {
	vec3 color;
	vec3 direction;
	bool visible;
};
struct ReflectedLight {
	vec3 directDiffuse;
	vec3 directSpecular;
	vec3 indirectDiffuse;
	vec3 indirectSpecular;
};
#ifdef USE_ALPHAHASH
	varying vec3 vPosition;
#endif
vec3 transformDirection( in vec3 dir, in mat4 matrix ) {
	return normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );
}
vec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {
	return normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );
}
mat3 transposeMat3( const in mat3 m ) {
	mat3 tmp;
	tmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );
	tmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );
	tmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );
	return tmp;
}
float luminance( const in vec3 rgb ) {
	const vec3 weights = vec3( 0.2126729, 0.7151522, 0.0721750 );
	return dot( weights, rgb );
}
bool isPerspectiveMatrix( mat4 m ) {
	return m[ 2 ][ 3 ] == - 1.0;
}
vec2 equirectUv( in vec3 dir ) {
	float u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;
	float v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;
	return vec2( u, v );
}
vec3 BRDF_Lambert( const in vec3 diffuseColor ) {
	return RECIPROCAL_PI * diffuseColor;
}
vec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {
	float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );
	return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );
}
float F_Schlick( const in float f0, const in float f90, const in float dotVH ) {
	float fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );
	return f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );
} // validated`,Ik=`#ifdef ENVMAP_TYPE_CUBE_UV
	#define cubeUV_minMipLevel 4.0
	#define cubeUV_minTileSize 16.0
	float getFace( vec3 direction ) {
		vec3 absDirection = abs( direction );
		float face = - 1.0;
		if ( absDirection.x > absDirection.z ) {
			if ( absDirection.x > absDirection.y )
				face = direction.x > 0.0 ? 0.0 : 3.0;
			else
				face = direction.y > 0.0 ? 1.0 : 4.0;
		} else {
			if ( absDirection.z > absDirection.y )
				face = direction.z > 0.0 ? 2.0 : 5.0;
			else
				face = direction.y > 0.0 ? 1.0 : 4.0;
		}
		return face;
	}
	vec2 getUV( vec3 direction, float face ) {
		vec2 uv;
		if ( face == 0.0 ) {
			uv = vec2( direction.z, direction.y ) / abs( direction.x );
		} else if ( face == 1.0 ) {
			uv = vec2( - direction.x, - direction.z ) / abs( direction.y );
		} else if ( face == 2.0 ) {
			uv = vec2( - direction.x, direction.y ) / abs( direction.z );
		} else if ( face == 3.0 ) {
			uv = vec2( - direction.z, direction.y ) / abs( direction.x );
		} else if ( face == 4.0 ) {
			uv = vec2( - direction.x, direction.z ) / abs( direction.y );
		} else {
			uv = vec2( direction.x, direction.y ) / abs( direction.z );
		}
		return 0.5 * ( uv + 1.0 );
	}
	vec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {
		float face = getFace( direction );
		float filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );
		mipInt = max( mipInt, cubeUV_minMipLevel );
		float faceSize = exp2( mipInt );
		highp vec2 uv = getUV( direction, face ) * ( faceSize - 2.0 ) + 1.0;
		if ( face > 2.0 ) {
			uv.y += faceSize;
			face -= 3.0;
		}
		uv.x += face * faceSize;
		uv.x += filterInt * 3.0 * cubeUV_minTileSize;
		uv.y += 4.0 * ( exp2( CUBEUV_MAX_MIP ) - faceSize );
		uv.x *= CUBEUV_TEXEL_WIDTH;
		uv.y *= CUBEUV_TEXEL_HEIGHT;
		#ifdef texture2DGradEXT
			return texture2DGradEXT( envMap, uv, vec2( 0.0 ), vec2( 0.0 ) ).rgb;
		#else
			return texture2D( envMap, uv ).rgb;
		#endif
	}
	#define cubeUV_r0 1.0
	#define cubeUV_m0 - 2.0
	#define cubeUV_r1 0.8
	#define cubeUV_m1 - 1.0
	#define cubeUV_r4 0.4
	#define cubeUV_m4 2.0
	#define cubeUV_r5 0.305
	#define cubeUV_m5 3.0
	#define cubeUV_r6 0.21
	#define cubeUV_m6 4.0
	float roughnessToMip( float roughness ) {
		float mip = 0.0;
		if ( roughness >= cubeUV_r1 ) {
			mip = ( cubeUV_r0 - roughness ) * ( cubeUV_m1 - cubeUV_m0 ) / ( cubeUV_r0 - cubeUV_r1 ) + cubeUV_m0;
		} else if ( roughness >= cubeUV_r4 ) {
			mip = ( cubeUV_r1 - roughness ) * ( cubeUV_m4 - cubeUV_m1 ) / ( cubeUV_r1 - cubeUV_r4 ) + cubeUV_m1;
		} else if ( roughness >= cubeUV_r5 ) {
			mip = ( cubeUV_r4 - roughness ) * ( cubeUV_m5 - cubeUV_m4 ) / ( cubeUV_r4 - cubeUV_r5 ) + cubeUV_m4;
		} else if ( roughness >= cubeUV_r6 ) {
			mip = ( cubeUV_r5 - roughness ) * ( cubeUV_m6 - cubeUV_m5 ) / ( cubeUV_r5 - cubeUV_r6 ) + cubeUV_m5;
		} else {
			mip = - 2.0 * log2( 1.16 * roughness );		}
		return mip;
	}
	vec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {
		float mip = clamp( roughnessToMip( roughness ), cubeUV_m0, CUBEUV_MAX_MIP );
		float mipF = fract( mip );
		float mipInt = floor( mip );
		vec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );
		if ( mipF == 0.0 ) {
			return vec4( color0, 1.0 );
		} else {
			vec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );
			return vec4( mix( color0, color1, mipF ), 1.0 );
		}
	}
#endif`,Pk=`vec3 transformedNormal = objectNormal;
#ifdef USE_TANGENT
	vec3 transformedTangent = objectTangent;
#endif
#ifdef USE_BATCHING
	mat3 bm = mat3( batchingMatrix );
	transformedNormal /= vec3( dot( bm[ 0 ], bm[ 0 ] ), dot( bm[ 1 ], bm[ 1 ] ), dot( bm[ 2 ], bm[ 2 ] ) );
	transformedNormal = bm * transformedNormal;
	#ifdef USE_TANGENT
		transformedTangent = bm * transformedTangent;
	#endif
#endif
#ifdef USE_INSTANCING
	mat3 im = mat3( instanceMatrix );
	transformedNormal /= vec3( dot( im[ 0 ], im[ 0 ] ), dot( im[ 1 ], im[ 1 ] ), dot( im[ 2 ], im[ 2 ] ) );
	transformedNormal = im * transformedNormal;
	#ifdef USE_TANGENT
		transformedTangent = im * transformedTangent;
	#endif
#endif
transformedNormal = normalMatrix * transformedNormal;
#ifdef FLIP_SIDED
	transformedNormal = - transformedNormal;
#endif
#ifdef USE_TANGENT
	transformedTangent = ( modelViewMatrix * vec4( transformedTangent, 0.0 ) ).xyz;
	#ifdef FLIP_SIDED
		transformedTangent = - transformedTangent;
	#endif
#endif`,kk=`#ifdef USE_DISPLACEMENTMAP
	uniform sampler2D displacementMap;
	uniform float displacementScale;
	uniform float displacementBias;
#endif`,Ok=`#ifdef USE_DISPLACEMENTMAP
	transformed += normalize( objectNormal ) * ( texture2D( displacementMap, vDisplacementMapUv ).x * displacementScale + displacementBias );
#endif`,Dk=`#ifdef USE_EMISSIVEMAP
	vec4 emissiveColor = texture2D( emissiveMap, vEmissiveMapUv );
	totalEmissiveRadiance *= emissiveColor.rgb;
#endif`,Lk=`#ifdef USE_EMISSIVEMAP
	uniform sampler2D emissiveMap;
#endif`,zk="gl_FragColor = linearToOutputTexel( gl_FragColor );",Nk=`
const mat3 LINEAR_SRGB_TO_LINEAR_DISPLAY_P3 = mat3(
	vec3( 0.8224621, 0.177538, 0.0 ),
	vec3( 0.0331941, 0.9668058, 0.0 ),
	vec3( 0.0170827, 0.0723974, 0.9105199 )
);
const mat3 LINEAR_DISPLAY_P3_TO_LINEAR_SRGB = mat3(
	vec3( 1.2249401, - 0.2249404, 0.0 ),
	vec3( - 0.0420569, 1.0420571, 0.0 ),
	vec3( - 0.0196376, - 0.0786361, 1.0982735 )
);
vec4 LinearSRGBToLinearDisplayP3( in vec4 value ) {
	return vec4( value.rgb * LINEAR_SRGB_TO_LINEAR_DISPLAY_P3, value.a );
}
vec4 LinearDisplayP3ToLinearSRGB( in vec4 value ) {
	return vec4( value.rgb * LINEAR_DISPLAY_P3_TO_LINEAR_SRGB, value.a );
}
vec4 LinearTransferOETF( in vec4 value ) {
	return value;
}
vec4 sRGBTransferOETF( in vec4 value ) {
	return vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );
}
vec4 LinearToLinear( in vec4 value ) {
	return value;
}
vec4 LinearTosRGB( in vec4 value ) {
	return sRGBTransferOETF( value );
}`,Uk=`#ifdef USE_ENVMAP
	#ifdef ENV_WORLDPOS
		vec3 cameraToFrag;
		if ( isOrthographic ) {
			cameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );
		} else {
			cameraToFrag = normalize( vWorldPosition - cameraPosition );
		}
		vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
		#ifdef ENVMAP_MODE_REFLECTION
			vec3 reflectVec = reflect( cameraToFrag, worldNormal );
		#else
			vec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );
		#endif
	#else
		vec3 reflectVec = vReflect;
	#endif
	#ifdef ENVMAP_TYPE_CUBE
		vec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );
	#else
		vec4 envColor = vec4( 0.0 );
	#endif
	#ifdef ENVMAP_BLENDING_MULTIPLY
		outgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );
	#elif defined( ENVMAP_BLENDING_MIX )
		outgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );
	#elif defined( ENVMAP_BLENDING_ADD )
		outgoingLight += envColor.xyz * specularStrength * reflectivity;
	#endif
#endif`,Bk=`#ifdef USE_ENVMAP
	uniform float envMapIntensity;
	uniform float flipEnvMap;
	#ifdef ENVMAP_TYPE_CUBE
		uniform samplerCube envMap;
	#else
		uniform sampler2D envMap;
	#endif
	
#endif`,Fk=`#ifdef USE_ENVMAP
	uniform float reflectivity;
	#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )
		#define ENV_WORLDPOS
	#endif
	#ifdef ENV_WORLDPOS
		varying vec3 vWorldPosition;
		uniform float refractionRatio;
	#else
		varying vec3 vReflect;
	#endif
#endif`,Gk=`#ifdef USE_ENVMAP
	#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG ) || defined( LAMBERT )
		#define ENV_WORLDPOS
	#endif
	#ifdef ENV_WORLDPOS
		
		varying vec3 vWorldPosition;
	#else
		varying vec3 vReflect;
		uniform float refractionRatio;
	#endif
#endif`,Wk=`#ifdef USE_ENVMAP
	#ifdef ENV_WORLDPOS
		vWorldPosition = worldPosition.xyz;
	#else
		vec3 cameraToVertex;
		if ( isOrthographic ) {
			cameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );
		} else {
			cameraToVertex = normalize( worldPosition.xyz - cameraPosition );
		}
		vec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );
		#ifdef ENVMAP_MODE_REFLECTION
			vReflect = reflect( cameraToVertex, worldNormal );
		#else
			vReflect = refract( cameraToVertex, worldNormal, refractionRatio );
		#endif
	#endif
#endif`,Vk=`#ifdef USE_FOG
	vFogDepth = - mvPosition.z;
#endif`,Hk=`#ifdef USE_FOG
	varying float vFogDepth;
#endif`,qk=`#ifdef USE_FOG
	#ifdef FOG_EXP2
		float fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );
	#else
		float fogFactor = smoothstep( fogNear, fogFar, vFogDepth );
	#endif
	gl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );
#endif`,jk=`#ifdef USE_FOG
	uniform vec3 fogColor;
	varying float vFogDepth;
	#ifdef FOG_EXP2
		uniform float fogDensity;
	#else
		uniform float fogNear;
		uniform float fogFar;
	#endif
#endif`,Xk=`#ifdef USE_GRADIENTMAP
	uniform sampler2D gradientMap;
#endif
vec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {
	float dotNL = dot( normal, lightDirection );
	vec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );
	#ifdef USE_GRADIENTMAP
		return vec3( texture2D( gradientMap, coord ).r );
	#else
		vec2 fw = fwidth( coord ) * 0.5;
		return mix( vec3( 0.7 ), vec3( 1.0 ), smoothstep( 0.7 - fw.x, 0.7 + fw.x, coord.x ) );
	#endif
}`,Yk=`#ifdef USE_LIGHTMAP
	vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
	vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;
	reflectedLight.indirectDiffuse += lightMapIrradiance;
#endif`,Kk=`#ifdef USE_LIGHTMAP
	uniform sampler2D lightMap;
	uniform float lightMapIntensity;
#endif`,Zk=`LambertMaterial material;
material.diffuseColor = diffuseColor.rgb;
material.specularStrength = specularStrength;`,Qk=`varying vec3 vViewPosition;
struct LambertMaterial {
	vec3 diffuseColor;
	float specularStrength;
};
void RE_Direct_Lambert( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Lambert( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in LambertMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_Lambert
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Lambert`,Jk=`uniform bool receiveShadow;
uniform vec3 ambientLightColor;
#if defined( USE_LIGHT_PROBES )
	uniform vec3 lightProbe[ 9 ];
#endif
vec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {
	float x = normal.x, y = normal.y, z = normal.z;
	vec3 result = shCoefficients[ 0 ] * 0.886227;
	result += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;
	result += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;
	result += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;
	result += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;
	result += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;
	result += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );
	result += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;
	result += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );
	return result;
}
vec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {
	vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
	vec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );
	return irradiance;
}
vec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {
	vec3 irradiance = ambientLightColor;
	return irradiance;
}
float getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {
	#if defined ( LEGACY_LIGHTS )
		if ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {
			return pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );
		}
		return 1.0;
	#else
		float distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );
		if ( cutoffDistance > 0.0 ) {
			distanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );
		}
		return distanceFalloff;
	#endif
}
float getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {
	return smoothstep( coneCosine, penumbraCosine, angleCosine );
}
#if NUM_DIR_LIGHTS > 0
	struct DirectionalLight {
		vec3 direction;
		vec3 color;
	};
	uniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];
	void getDirectionalLightInfo( const in DirectionalLight directionalLight, out IncidentLight light ) {
		light.color = directionalLight.color;
		light.direction = directionalLight.direction;
		light.visible = true;
	}
#endif
#if NUM_POINT_LIGHTS > 0
	struct PointLight {
		vec3 position;
		vec3 color;
		float distance;
		float decay;
	};
	uniform PointLight pointLights[ NUM_POINT_LIGHTS ];
	void getPointLightInfo( const in PointLight pointLight, const in vec3 geometryPosition, out IncidentLight light ) {
		vec3 lVector = pointLight.position - geometryPosition;
		light.direction = normalize( lVector );
		float lightDistance = length( lVector );
		light.color = pointLight.color;
		light.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );
		light.visible = ( light.color != vec3( 0.0 ) );
	}
#endif
#if NUM_SPOT_LIGHTS > 0
	struct SpotLight {
		vec3 position;
		vec3 direction;
		vec3 color;
		float distance;
		float decay;
		float coneCos;
		float penumbraCos;
	};
	uniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];
	void getSpotLightInfo( const in SpotLight spotLight, const in vec3 geometryPosition, out IncidentLight light ) {
		vec3 lVector = spotLight.position - geometryPosition;
		light.direction = normalize( lVector );
		float angleCos = dot( light.direction, spotLight.direction );
		float spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );
		if ( spotAttenuation > 0.0 ) {
			float lightDistance = length( lVector );
			light.color = spotLight.color * spotAttenuation;
			light.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );
			light.visible = ( light.color != vec3( 0.0 ) );
		} else {
			light.color = vec3( 0.0 );
			light.visible = false;
		}
	}
#endif
#if NUM_RECT_AREA_LIGHTS > 0
	struct RectAreaLight {
		vec3 color;
		vec3 position;
		vec3 halfWidth;
		vec3 halfHeight;
	};
	uniform sampler2D ltc_1;	uniform sampler2D ltc_2;
	uniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];
#endif
#if NUM_HEMI_LIGHTS > 0
	struct HemisphereLight {
		vec3 direction;
		vec3 skyColor;
		vec3 groundColor;
	};
	uniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];
	vec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {
		float dotNL = dot( normal, hemiLight.direction );
		float hemiDiffuseWeight = 0.5 * dotNL + 0.5;
		vec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );
		return irradiance;
	}
#endif`,eO=`#ifdef USE_ENVMAP
	vec3 getIBLIrradiance( const in vec3 normal ) {
		#ifdef ENVMAP_TYPE_CUBE_UV
			vec3 worldNormal = inverseTransformDirection( normal, viewMatrix );
			vec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );
			return PI * envMapColor.rgb * envMapIntensity;
		#else
			return vec3( 0.0 );
		#endif
	}
	vec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {
		#ifdef ENVMAP_TYPE_CUBE_UV
			vec3 reflectVec = reflect( - viewDir, normal );
			reflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );
			reflectVec = inverseTransformDirection( reflectVec, viewMatrix );
			vec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );
			return envMapColor.rgb * envMapIntensity;
		#else
			return vec3( 0.0 );
		#endif
	}
	#ifdef USE_ANISOTROPY
		vec3 getIBLAnisotropyRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness, const in vec3 bitangent, const in float anisotropy ) {
			#ifdef ENVMAP_TYPE_CUBE_UV
				vec3 bentNormal = cross( bitangent, viewDir );
				bentNormal = normalize( cross( bentNormal, bitangent ) );
				bentNormal = normalize( mix( bentNormal, normal, pow2( pow2( 1.0 - anisotropy * ( 1.0 - roughness ) ) ) ) );
				return getIBLRadiance( viewDir, bentNormal, roughness );
			#else
				return vec3( 0.0 );
			#endif
		}
	#endif
#endif`,tO=`ToonMaterial material;
material.diffuseColor = diffuseColor.rgb;`,nO=`varying vec3 vViewPosition;
struct ToonMaterial {
	vec3 diffuseColor;
};
void RE_Direct_Toon( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {
	vec3 irradiance = getGradientIrradiance( geometryNormal, directLight.direction ) * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_Toon
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Toon`,rO=`BlinnPhongMaterial material;
material.diffuseColor = diffuseColor.rgb;
material.specularColor = specular;
material.specularShininess = shininess;
material.specularStrength = specularStrength;`,iO=`varying vec3 vViewPosition;
struct BlinnPhongMaterial {
	vec3 diffuseColor;
	vec3 specularColor;
	float specularShininess;
	float specularStrength;
};
void RE_Direct_BlinnPhong( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
	reflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometryViewDir, geometryNormal, material.specularColor, material.specularShininess ) * material.specularStrength;
}
void RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
#define RE_Direct				RE_Direct_BlinnPhong
#define RE_IndirectDiffuse		RE_IndirectDiffuse_BlinnPhong`,aO=`PhysicalMaterial material;
material.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );
vec3 dxy = max( abs( dFdx( nonPerturbedNormal ) ), abs( dFdy( nonPerturbedNormal ) ) );
float geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );
material.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;
material.roughness = min( material.roughness, 1.0 );
#ifdef IOR
	material.ior = ior;
	#ifdef USE_SPECULAR
		float specularIntensityFactor = specularIntensity;
		vec3 specularColorFactor = specularColor;
		#ifdef USE_SPECULAR_COLORMAP
			specularColorFactor *= texture2D( specularColorMap, vSpecularColorMapUv ).rgb;
		#endif
		#ifdef USE_SPECULAR_INTENSITYMAP
			specularIntensityFactor *= texture2D( specularIntensityMap, vSpecularIntensityMapUv ).a;
		#endif
		material.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );
	#else
		float specularIntensityFactor = 1.0;
		vec3 specularColorFactor = vec3( 1.0 );
		material.specularF90 = 1.0;
	#endif
	material.specularColor = mix( min( pow2( ( material.ior - 1.0 ) / ( material.ior + 1.0 ) ) * specularColorFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );
#else
	material.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );
	material.specularF90 = 1.0;
#endif
#ifdef USE_CLEARCOAT
	material.clearcoat = clearcoat;
	material.clearcoatRoughness = clearcoatRoughness;
	material.clearcoatF0 = vec3( 0.04 );
	material.clearcoatF90 = 1.0;
	#ifdef USE_CLEARCOATMAP
		material.clearcoat *= texture2D( clearcoatMap, vClearcoatMapUv ).x;
	#endif
	#ifdef USE_CLEARCOAT_ROUGHNESSMAP
		material.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vClearcoatRoughnessMapUv ).y;
	#endif
	material.clearcoat = saturate( material.clearcoat );	material.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );
	material.clearcoatRoughness += geometryRoughness;
	material.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );
#endif
#ifdef USE_IRIDESCENCE
	material.iridescence = iridescence;
	material.iridescenceIOR = iridescenceIOR;
	#ifdef USE_IRIDESCENCEMAP
		material.iridescence *= texture2D( iridescenceMap, vIridescenceMapUv ).r;
	#endif
	#ifdef USE_IRIDESCENCE_THICKNESSMAP
		material.iridescenceThickness = (iridescenceThicknessMaximum - iridescenceThicknessMinimum) * texture2D( iridescenceThicknessMap, vIridescenceThicknessMapUv ).g + iridescenceThicknessMinimum;
	#else
		material.iridescenceThickness = iridescenceThicknessMaximum;
	#endif
#endif
#ifdef USE_SHEEN
	material.sheenColor = sheenColor;
	#ifdef USE_SHEEN_COLORMAP
		material.sheenColor *= texture2D( sheenColorMap, vSheenColorMapUv ).rgb;
	#endif
	material.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );
	#ifdef USE_SHEEN_ROUGHNESSMAP
		material.sheenRoughness *= texture2D( sheenRoughnessMap, vSheenRoughnessMapUv ).a;
	#endif
#endif
#ifdef USE_ANISOTROPY
	#ifdef USE_ANISOTROPYMAP
		mat2 anisotropyMat = mat2( anisotropyVector.x, anisotropyVector.y, - anisotropyVector.y, anisotropyVector.x );
		vec3 anisotropyPolar = texture2D( anisotropyMap, vAnisotropyMapUv ).rgb;
		vec2 anisotropyV = anisotropyMat * normalize( 2.0 * anisotropyPolar.rg - vec2( 1.0 ) ) * anisotropyPolar.b;
	#else
		vec2 anisotropyV = anisotropyVector;
	#endif
	material.anisotropy = length( anisotropyV );
	if( material.anisotropy == 0.0 ) {
		anisotropyV = vec2( 1.0, 0.0 );
	} else {
		anisotropyV /= material.anisotropy;
		material.anisotropy = saturate( material.anisotropy );
	}
	material.alphaT = mix( pow2( material.roughness ), 1.0, pow2( material.anisotropy ) );
	material.anisotropyT = tbn[ 0 ] * anisotropyV.x + tbn[ 1 ] * anisotropyV.y;
	material.anisotropyB = tbn[ 1 ] * anisotropyV.x - tbn[ 0 ] * anisotropyV.y;
#endif`,sO=`struct PhysicalMaterial {
	vec3 diffuseColor;
	float roughness;
	vec3 specularColor;
	float specularF90;
	#ifdef USE_CLEARCOAT
		float clearcoat;
		float clearcoatRoughness;
		vec3 clearcoatF0;
		float clearcoatF90;
	#endif
	#ifdef USE_IRIDESCENCE
		float iridescence;
		float iridescenceIOR;
		float iridescenceThickness;
		vec3 iridescenceFresnel;
		vec3 iridescenceF0;
	#endif
	#ifdef USE_SHEEN
		vec3 sheenColor;
		float sheenRoughness;
	#endif
	#ifdef IOR
		float ior;
	#endif
	#ifdef USE_TRANSMISSION
		float transmission;
		float transmissionAlpha;
		float thickness;
		float attenuationDistance;
		vec3 attenuationColor;
	#endif
	#ifdef USE_ANISOTROPY
		float anisotropy;
		float alphaT;
		vec3 anisotropyT;
		vec3 anisotropyB;
	#endif
};
vec3 clearcoatSpecularDirect = vec3( 0.0 );
vec3 clearcoatSpecularIndirect = vec3( 0.0 );
vec3 sheenSpecularDirect = vec3( 0.0 );
vec3 sheenSpecularIndirect = vec3(0.0 );
vec3 Schlick_to_F0( const in vec3 f, const in float f90, const in float dotVH ) {
    float x = clamp( 1.0 - dotVH, 0.0, 1.0 );
    float x2 = x * x;
    float x5 = clamp( x * x2 * x2, 0.0, 0.9999 );
    return ( f - vec3( f90 ) * x5 ) / ( 1.0 - x5 );
}
float V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {
	float a2 = pow2( alpha );
	float gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );
	float gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );
	return 0.5 / max( gv + gl, EPSILON );
}
float D_GGX( const in float alpha, const in float dotNH ) {
	float a2 = pow2( alpha );
	float denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0;
	return RECIPROCAL_PI * a2 / pow2( denom );
}
#ifdef USE_ANISOTROPY
	float V_GGX_SmithCorrelated_Anisotropic( const in float alphaT, const in float alphaB, const in float dotTV, const in float dotBV, const in float dotTL, const in float dotBL, const in float dotNV, const in float dotNL ) {
		float gv = dotNL * length( vec3( alphaT * dotTV, alphaB * dotBV, dotNV ) );
		float gl = dotNV * length( vec3( alphaT * dotTL, alphaB * dotBL, dotNL ) );
		float v = 0.5 / ( gv + gl );
		return saturate(v);
	}
	float D_GGX_Anisotropic( const in float alphaT, const in float alphaB, const in float dotNH, const in float dotTH, const in float dotBH ) {
		float a2 = alphaT * alphaB;
		highp vec3 v = vec3( alphaB * dotTH, alphaT * dotBH, a2 * dotNH );
		highp float v2 = dot( v, v );
		float w2 = a2 / v2;
		return RECIPROCAL_PI * a2 * pow2 ( w2 );
	}
#endif
#ifdef USE_CLEARCOAT
	vec3 BRDF_GGX_Clearcoat( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material) {
		vec3 f0 = material.clearcoatF0;
		float f90 = material.clearcoatF90;
		float roughness = material.clearcoatRoughness;
		float alpha = pow2( roughness );
		vec3 halfDir = normalize( lightDir + viewDir );
		float dotNL = saturate( dot( normal, lightDir ) );
		float dotNV = saturate( dot( normal, viewDir ) );
		float dotNH = saturate( dot( normal, halfDir ) );
		float dotVH = saturate( dot( viewDir, halfDir ) );
		vec3 F = F_Schlick( f0, f90, dotVH );
		float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );
		float D = D_GGX( alpha, dotNH );
		return F * ( V * D );
	}
#endif
vec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in PhysicalMaterial material ) {
	vec3 f0 = material.specularColor;
	float f90 = material.specularF90;
	float roughness = material.roughness;
	float alpha = pow2( roughness );
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	float dotNH = saturate( dot( normal, halfDir ) );
	float dotVH = saturate( dot( viewDir, halfDir ) );
	vec3 F = F_Schlick( f0, f90, dotVH );
	#ifdef USE_IRIDESCENCE
		F = mix( F, material.iridescenceFresnel, material.iridescence );
	#endif
	#ifdef USE_ANISOTROPY
		float dotTL = dot( material.anisotropyT, lightDir );
		float dotTV = dot( material.anisotropyT, viewDir );
		float dotTH = dot( material.anisotropyT, halfDir );
		float dotBL = dot( material.anisotropyB, lightDir );
		float dotBV = dot( material.anisotropyB, viewDir );
		float dotBH = dot( material.anisotropyB, halfDir );
		float V = V_GGX_SmithCorrelated_Anisotropic( material.alphaT, alpha, dotTV, dotBV, dotTL, dotBL, dotNV, dotNL );
		float D = D_GGX_Anisotropic( material.alphaT, alpha, dotNH, dotTH, dotBH );
	#else
		float V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );
		float D = D_GGX( alpha, dotNH );
	#endif
	return F * ( V * D );
}
vec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {
	const float LUT_SIZE = 64.0;
	const float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;
	const float LUT_BIAS = 0.5 / LUT_SIZE;
	float dotNV = saturate( dot( N, V ) );
	vec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );
	uv = uv * LUT_SCALE + LUT_BIAS;
	return uv;
}
float LTC_ClippedSphereFormFactor( const in vec3 f ) {
	float l = length( f );
	return max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );
}
vec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {
	float x = dot( v1, v2 );
	float y = abs( x );
	float a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;
	float b = 3.4175940 + ( 4.1616724 + y ) * y;
	float v = a / b;
	float theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;
	return cross( v1, v2 ) * theta_sintheta;
}
vec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {
	vec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];
	vec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];
	vec3 lightNormal = cross( v1, v2 );
	if( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );
	vec3 T1, T2;
	T1 = normalize( V - N * dot( V, N ) );
	T2 = - cross( N, T1 );
	mat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );
	vec3 coords[ 4 ];
	coords[ 0 ] = mat * ( rectCoords[ 0 ] - P );
	coords[ 1 ] = mat * ( rectCoords[ 1 ] - P );
	coords[ 2 ] = mat * ( rectCoords[ 2 ] - P );
	coords[ 3 ] = mat * ( rectCoords[ 3 ] - P );
	coords[ 0 ] = normalize( coords[ 0 ] );
	coords[ 1 ] = normalize( coords[ 1 ] );
	coords[ 2 ] = normalize( coords[ 2 ] );
	coords[ 3 ] = normalize( coords[ 3 ] );
	vec3 vectorFormFactor = vec3( 0.0 );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );
	vectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );
	float result = LTC_ClippedSphereFormFactor( vectorFormFactor );
	return vec3( result );
}
#if defined( USE_SHEEN )
float D_Charlie( float roughness, float dotNH ) {
	float alpha = pow2( roughness );
	float invAlpha = 1.0 / alpha;
	float cos2h = dotNH * dotNH;
	float sin2h = max( 1.0 - cos2h, 0.0078125 );
	return ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );
}
float V_Neubelt( float dotNV, float dotNL ) {
	return saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );
}
vec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenColor, const in float sheenRoughness ) {
	vec3 halfDir = normalize( lightDir + viewDir );
	float dotNL = saturate( dot( normal, lightDir ) );
	float dotNV = saturate( dot( normal, viewDir ) );
	float dotNH = saturate( dot( normal, halfDir ) );
	float D = D_Charlie( sheenRoughness, dotNH );
	float V = V_Neubelt( dotNV, dotNL );
	return sheenColor * ( D * V );
}
#endif
float IBLSheenBRDF( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {
	float dotNV = saturate( dot( normal, viewDir ) );
	float r2 = roughness * roughness;
	float a = roughness < 0.25 ? -339.2 * r2 + 161.4 * roughness - 25.9 : -8.48 * r2 + 14.3 * roughness - 9.95;
	float b = roughness < 0.25 ? 44.0 * r2 - 23.7 * roughness + 3.26 : 1.97 * r2 - 3.27 * roughness + 0.72;
	float DG = exp( a * dotNV + b ) + ( roughness < 0.25 ? 0.0 : 0.1 * ( roughness - 0.25 ) );
	return saturate( DG * RECIPROCAL_PI );
}
vec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {
	float dotNV = saturate( dot( normal, viewDir ) );
	const vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );
	const vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );
	vec4 r = roughness * c0 + c1;
	float a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;
	vec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;
	return fab;
}
vec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {
	vec2 fab = DFGApprox( normal, viewDir, roughness );
	return specularColor * fab.x + specularF90 * fab.y;
}
#ifdef USE_IRIDESCENCE
void computeMultiscatteringIridescence( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float iridescence, const in vec3 iridescenceF0, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {
#else
void computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {
#endif
	vec2 fab = DFGApprox( normal, viewDir, roughness );
	#ifdef USE_IRIDESCENCE
		vec3 Fr = mix( specularColor, iridescenceF0, iridescence );
	#else
		vec3 Fr = specularColor;
	#endif
	vec3 FssEss = Fr * fab.x + specularF90 * fab.y;
	float Ess = fab.x + fab.y;
	float Ems = 1.0 - Ess;
	vec3 Favg = Fr + ( 1.0 - Fr ) * 0.047619;	vec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );
	singleScatter += FssEss;
	multiScatter += Fms * Ems;
}
#if NUM_RECT_AREA_LIGHTS > 0
	void RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
		vec3 normal = geometryNormal;
		vec3 viewDir = geometryViewDir;
		vec3 position = geometryPosition;
		vec3 lightPos = rectAreaLight.position;
		vec3 halfWidth = rectAreaLight.halfWidth;
		vec3 halfHeight = rectAreaLight.halfHeight;
		vec3 lightColor = rectAreaLight.color;
		float roughness = material.roughness;
		vec3 rectCoords[ 4 ];
		rectCoords[ 0 ] = lightPos + halfWidth - halfHeight;		rectCoords[ 1 ] = lightPos - halfWidth - halfHeight;
		rectCoords[ 2 ] = lightPos - halfWidth + halfHeight;
		rectCoords[ 3 ] = lightPos + halfWidth + halfHeight;
		vec2 uv = LTC_Uv( normal, viewDir, roughness );
		vec4 t1 = texture2D( ltc_1, uv );
		vec4 t2 = texture2D( ltc_2, uv );
		mat3 mInv = mat3(
			vec3( t1.x, 0, t1.y ),
			vec3(    0, 1,    0 ),
			vec3( t1.z, 0, t1.w )
		);
		vec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );
		reflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );
		reflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );
	}
#endif
void RE_Direct_Physical( const in IncidentLight directLight, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
	float dotNL = saturate( dot( geometryNormal, directLight.direction ) );
	vec3 irradiance = dotNL * directLight.color;
	#ifdef USE_CLEARCOAT
		float dotNLcc = saturate( dot( geometryClearcoatNormal, directLight.direction ) );
		vec3 ccIrradiance = dotNLcc * directLight.color;
		clearcoatSpecularDirect += ccIrradiance * BRDF_GGX_Clearcoat( directLight.direction, geometryViewDir, geometryClearcoatNormal, material );
	#endif
	#ifdef USE_SHEEN
		sheenSpecularDirect += irradiance * BRDF_Sheen( directLight.direction, geometryViewDir, geometryNormal, material.sheenColor, material.sheenRoughness );
	#endif
	reflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometryViewDir, geometryNormal, material );
	reflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {
	reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );
}
void RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in vec3 geometryPosition, const in vec3 geometryNormal, const in vec3 geometryViewDir, const in vec3 geometryClearcoatNormal, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {
	#ifdef USE_CLEARCOAT
		clearcoatSpecularIndirect += clearcoatRadiance * EnvironmentBRDF( geometryClearcoatNormal, geometryViewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );
	#endif
	#ifdef USE_SHEEN
		sheenSpecularIndirect += irradiance * material.sheenColor * IBLSheenBRDF( geometryNormal, geometryViewDir, material.sheenRoughness );
	#endif
	vec3 singleScattering = vec3( 0.0 );
	vec3 multiScattering = vec3( 0.0 );
	vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;
	#ifdef USE_IRIDESCENCE
		computeMultiscatteringIridescence( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.iridescence, material.iridescenceFresnel, material.roughness, singleScattering, multiScattering );
	#else
		computeMultiscattering( geometryNormal, geometryViewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );
	#endif
	vec3 totalScattering = singleScattering + multiScattering;
	vec3 diffuse = material.diffuseColor * ( 1.0 - max( max( totalScattering.r, totalScattering.g ), totalScattering.b ) );
	reflectedLight.indirectSpecular += radiance * singleScattering;
	reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;
	reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;
}
#define RE_Direct				RE_Direct_Physical
#define RE_Direct_RectArea		RE_Direct_RectArea_Physical
#define RE_IndirectDiffuse		RE_IndirectDiffuse_Physical
#define RE_IndirectSpecular		RE_IndirectSpecular_Physical
float computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {
	return saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );
}`,oO=`
vec3 geometryPosition = - vViewPosition;
vec3 geometryNormal = normal;
vec3 geometryViewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );
vec3 geometryClearcoatNormal = vec3( 0.0 );
#ifdef USE_CLEARCOAT
	geometryClearcoatNormal = clearcoatNormal;
#endif
#ifdef USE_IRIDESCENCE
	float dotNVi = saturate( dot( normal, geometryViewDir ) );
	if ( material.iridescenceThickness == 0.0 ) {
		material.iridescence = 0.0;
	} else {
		material.iridescence = saturate( material.iridescence );
	}
	if ( material.iridescence > 0.0 ) {
		material.iridescenceFresnel = evalIridescence( 1.0, material.iridescenceIOR, dotNVi, material.iridescenceThickness, material.specularColor );
		material.iridescenceF0 = Schlick_to_F0( material.iridescenceFresnel, 1.0, dotNVi );
	}
#endif
IncidentLight directLight;
#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )
	PointLight pointLight;
	#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0
	PointLightShadow pointLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {
		pointLight = pointLights[ i ];
		getPointLightInfo( pointLight, geometryPosition, directLight );
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )
		pointLightShadow = pointLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )
	SpotLight spotLight;
	vec4 spotColor;
	vec3 spotLightCoord;
	bool inSpotLightMap;
	#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0
	SpotLightShadow spotLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {
		spotLight = spotLights[ i ];
		getSpotLightInfo( spotLight, geometryPosition, directLight );
		#if ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )
		#define SPOT_LIGHT_MAP_INDEX UNROLLED_LOOP_INDEX
		#elif ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
		#define SPOT_LIGHT_MAP_INDEX NUM_SPOT_LIGHT_MAPS
		#else
		#define SPOT_LIGHT_MAP_INDEX ( UNROLLED_LOOP_INDEX - NUM_SPOT_LIGHT_SHADOWS + NUM_SPOT_LIGHT_SHADOWS_WITH_MAPS )
		#endif
		#if ( SPOT_LIGHT_MAP_INDEX < NUM_SPOT_LIGHT_MAPS )
			spotLightCoord = vSpotLightCoord[ i ].xyz / vSpotLightCoord[ i ].w;
			inSpotLightMap = all( lessThan( abs( spotLightCoord * 2. - 1. ), vec3( 1.0 ) ) );
			spotColor = texture2D( spotLightMap[ SPOT_LIGHT_MAP_INDEX ], spotLightCoord.xy );
			directLight.color = inSpotLightMap ? directLight.color * spotColor.rgb : directLight.color;
		#endif
		#undef SPOT_LIGHT_MAP_INDEX
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
		spotLightShadow = spotLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )
	DirectionalLight directionalLight;
	#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0
	DirectionalLightShadow directionalLightShadow;
	#endif
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {
		directionalLight = directionalLights[ i ];
		getDirectionalLightInfo( directionalLight, directLight );
		#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )
		directionalLightShadow = directionalLightShadows[ i ];
		directLight.color *= ( directLight.visible && receiveShadow ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;
		#endif
		RE_Direct( directLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )
	RectAreaLight rectAreaLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {
		rectAreaLight = rectAreaLights[ i ];
		RE_Direct_RectArea( rectAreaLight, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
	}
	#pragma unroll_loop_end
#endif
#if defined( RE_IndirectDiffuse )
	vec3 iblIrradiance = vec3( 0.0 );
	vec3 irradiance = getAmbientLightIrradiance( ambientLightColor );
	#if defined( USE_LIGHT_PROBES )
		irradiance += getLightProbeIrradiance( lightProbe, geometryNormal );
	#endif
	#if ( NUM_HEMI_LIGHTS > 0 )
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {
			irradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometryNormal );
		}
		#pragma unroll_loop_end
	#endif
#endif
#if defined( RE_IndirectSpecular )
	vec3 radiance = vec3( 0.0 );
	vec3 clearcoatRadiance = vec3( 0.0 );
#endif`,lO=`#if defined( RE_IndirectDiffuse )
	#ifdef USE_LIGHTMAP
		vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
		vec3 lightMapIrradiance = lightMapTexel.rgb * lightMapIntensity;
		irradiance += lightMapIrradiance;
	#endif
	#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )
		iblIrradiance += getIBLIrradiance( geometryNormal );
	#endif
#endif
#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )
	#ifdef USE_ANISOTROPY
		radiance += getIBLAnisotropyRadiance( geometryViewDir, geometryNormal, material.roughness, material.anisotropyB, material.anisotropy );
	#else
		radiance += getIBLRadiance( geometryViewDir, geometryNormal, material.roughness );
	#endif
	#ifdef USE_CLEARCOAT
		clearcoatRadiance += getIBLRadiance( geometryViewDir, geometryClearcoatNormal, material.clearcoatRoughness );
	#endif
#endif`,uO=`#if defined( RE_IndirectDiffuse )
	RE_IndirectDiffuse( irradiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
#endif
#if defined( RE_IndirectSpecular )
	RE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometryPosition, geometryNormal, geometryViewDir, geometryClearcoatNormal, material, reflectedLight );
#endif`,cO=`#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )
	gl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;
#endif`,dO=`#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )
	uniform float logDepthBufFC;
	varying float vFragDepth;
	varying float vIsPerspective;
#endif`,hO=`#ifdef USE_LOGDEPTHBUF
	#ifdef USE_LOGDEPTHBUF_EXT
		varying float vFragDepth;
		varying float vIsPerspective;
	#else
		uniform float logDepthBufFC;
	#endif
#endif`,pO=`#ifdef USE_LOGDEPTHBUF
	#ifdef USE_LOGDEPTHBUF_EXT
		vFragDepth = 1.0 + gl_Position.w;
		vIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );
	#else
		if ( isPerspectiveMatrix( projectionMatrix ) ) {
			gl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;
			gl_Position.z *= gl_Position.w;
		}
	#endif
#endif`,fO=`#ifdef USE_MAP
	vec4 sampledDiffuseColor = texture2D( map, vMapUv );
	#ifdef DECODE_VIDEO_TEXTURE
		sampledDiffuseColor = vec4( mix( pow( sampledDiffuseColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), sampledDiffuseColor.rgb * 0.0773993808, vec3( lessThanEqual( sampledDiffuseColor.rgb, vec3( 0.04045 ) ) ) ), sampledDiffuseColor.w );
	
	#endif
	diffuseColor *= sampledDiffuseColor;
#endif`,mO=`#ifdef USE_MAP
	uniform sampler2D map;
#endif`,gO=`#if defined( USE_MAP ) || defined( USE_ALPHAMAP )
	#if defined( USE_POINTS_UV )
		vec2 uv = vUv;
	#else
		vec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;
	#endif
#endif
#ifdef USE_MAP
	diffuseColor *= texture2D( map, uv );
#endif
#ifdef USE_ALPHAMAP
	diffuseColor.a *= texture2D( alphaMap, uv ).g;
#endif`,_O=`#if defined( USE_POINTS_UV )
	varying vec2 vUv;
#else
	#if defined( USE_MAP ) || defined( USE_ALPHAMAP )
		uniform mat3 uvTransform;
	#endif
#endif
#ifdef USE_MAP
	uniform sampler2D map;
#endif
#ifdef USE_ALPHAMAP
	uniform sampler2D alphaMap;
#endif`,yO=`float metalnessFactor = metalness;
#ifdef USE_METALNESSMAP
	vec4 texelMetalness = texture2D( metalnessMap, vMetalnessMapUv );
	metalnessFactor *= texelMetalness.b;
#endif`,vO=`#ifdef USE_METALNESSMAP
	uniform sampler2D metalnessMap;
#endif`,wO=`#if defined( USE_MORPHCOLORS ) && defined( MORPHTARGETS_TEXTURE )
	vColor *= morphTargetBaseInfluence;
	for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
		#if defined( USE_COLOR_ALPHA )
			if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ) * morphTargetInfluences[ i ];
		#elif defined( USE_COLOR )
			if ( morphTargetInfluences[ i ] != 0.0 ) vColor += getMorph( gl_VertexID, i, 2 ).rgb * morphTargetInfluences[ i ];
		#endif
	}
#endif`,bO=`#ifdef USE_MORPHNORMALS
	objectNormal *= morphTargetBaseInfluence;
	#ifdef MORPHTARGETS_TEXTURE
		for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
			if ( morphTargetInfluences[ i ] != 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1 ).xyz * morphTargetInfluences[ i ];
		}
	#else
		objectNormal += morphNormal0 * morphTargetInfluences[ 0 ];
		objectNormal += morphNormal1 * morphTargetInfluences[ 1 ];
		objectNormal += morphNormal2 * morphTargetInfluences[ 2 ];
		objectNormal += morphNormal3 * morphTargetInfluences[ 3 ];
	#endif
#endif`,xO=`#ifdef USE_MORPHTARGETS
	uniform float morphTargetBaseInfluence;
	#ifdef MORPHTARGETS_TEXTURE
		uniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];
		uniform sampler2DArray morphTargetsTexture;
		uniform ivec2 morphTargetsTextureSize;
		vec4 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset ) {
			int texelIndex = vertexIndex * MORPHTARGETS_TEXTURE_STRIDE + offset;
			int y = texelIndex / morphTargetsTextureSize.x;
			int x = texelIndex - y * morphTargetsTextureSize.x;
			ivec3 morphUV = ivec3( x, y, morphTargetIndex );
			return texelFetch( morphTargetsTexture, morphUV, 0 );
		}
	#else
		#ifndef USE_MORPHNORMALS
			uniform float morphTargetInfluences[ 8 ];
		#else
			uniform float morphTargetInfluences[ 4 ];
		#endif
	#endif
#endif`,SO=`#ifdef USE_MORPHTARGETS
	transformed *= morphTargetBaseInfluence;
	#ifdef MORPHTARGETS_TEXTURE
		for ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {
			if ( morphTargetInfluences[ i ] != 0.0 ) transformed += getMorph( gl_VertexID, i, 0 ).xyz * morphTargetInfluences[ i ];
		}
	#else
		transformed += morphTarget0 * morphTargetInfluences[ 0 ];
		transformed += morphTarget1 * morphTargetInfluences[ 1 ];
		transformed += morphTarget2 * morphTargetInfluences[ 2 ];
		transformed += morphTarget3 * morphTargetInfluences[ 3 ];
		#ifndef USE_MORPHNORMALS
			transformed += morphTarget4 * morphTargetInfluences[ 4 ];
			transformed += morphTarget5 * morphTargetInfluences[ 5 ];
			transformed += morphTarget6 * morphTargetInfluences[ 6 ];
			transformed += morphTarget7 * morphTargetInfluences[ 7 ];
		#endif
	#endif
#endif`,EO=`float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;
#ifdef FLAT_SHADED
	vec3 fdx = dFdx( vViewPosition );
	vec3 fdy = dFdy( vViewPosition );
	vec3 normal = normalize( cross( fdx, fdy ) );
#else
	vec3 normal = normalize( vNormal );
	#ifdef DOUBLE_SIDED
		normal *= faceDirection;
	#endif
#endif
#if defined( USE_NORMALMAP_TANGENTSPACE ) || defined( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY )
	#ifdef USE_TANGENT
		mat3 tbn = mat3( normalize( vTangent ), normalize( vBitangent ), normal );
	#else
		mat3 tbn = getTangentFrame( - vViewPosition, normal,
		#if defined( USE_NORMALMAP )
			vNormalMapUv
		#elif defined( USE_CLEARCOAT_NORMALMAP )
			vClearcoatNormalMapUv
		#else
			vUv
		#endif
		);
	#endif
	#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )
		tbn[0] *= faceDirection;
		tbn[1] *= faceDirection;
	#endif
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	#ifdef USE_TANGENT
		mat3 tbn2 = mat3( normalize( vTangent ), normalize( vBitangent ), normal );
	#else
		mat3 tbn2 = getTangentFrame( - vViewPosition, normal, vClearcoatNormalMapUv );
	#endif
	#if defined( DOUBLE_SIDED ) && ! defined( FLAT_SHADED )
		tbn2[0] *= faceDirection;
		tbn2[1] *= faceDirection;
	#endif
#endif
vec3 nonPerturbedNormal = normal;`,MO=`#ifdef USE_NORMALMAP_OBJECTSPACE
	normal = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;
	#ifdef FLIP_SIDED
		normal = - normal;
	#endif
	#ifdef DOUBLE_SIDED
		normal = normal * faceDirection;
	#endif
	normal = normalize( normalMatrix * normal );
#elif defined( USE_NORMALMAP_TANGENTSPACE )
	vec3 mapN = texture2D( normalMap, vNormalMapUv ).xyz * 2.0 - 1.0;
	mapN.xy *= normalScale;
	normal = normalize( tbn * mapN );
#elif defined( USE_BUMPMAP )
	normal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );
#endif`,TO=`#ifndef FLAT_SHADED
	varying vec3 vNormal;
	#ifdef USE_TANGENT
		varying vec3 vTangent;
		varying vec3 vBitangent;
	#endif
#endif`,AO=`#ifndef FLAT_SHADED
	varying vec3 vNormal;
	#ifdef USE_TANGENT
		varying vec3 vTangent;
		varying vec3 vBitangent;
	#endif
#endif`,CO=`#ifndef FLAT_SHADED
	vNormal = normalize( transformedNormal );
	#ifdef USE_TANGENT
		vTangent = normalize( transformedTangent );
		vBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );
	#endif
#endif`,$O=`#ifdef USE_NORMALMAP
	uniform sampler2D normalMap;
	uniform vec2 normalScale;
#endif
#ifdef USE_NORMALMAP_OBJECTSPACE
	uniform mat3 normalMatrix;
#endif
#if ! defined ( USE_TANGENT ) && ( defined ( USE_NORMALMAP_TANGENTSPACE ) || defined ( USE_CLEARCOAT_NORMALMAP ) || defined( USE_ANISOTROPY ) )
	mat3 getTangentFrame( vec3 eye_pos, vec3 surf_norm, vec2 uv ) {
		vec3 q0 = dFdx( eye_pos.xyz );
		vec3 q1 = dFdy( eye_pos.xyz );
		vec2 st0 = dFdx( uv.st );
		vec2 st1 = dFdy( uv.st );
		vec3 N = surf_norm;
		vec3 q1perp = cross( q1, N );
		vec3 q0perp = cross( N, q0 );
		vec3 T = q1perp * st0.x + q0perp * st1.x;
		vec3 B = q1perp * st0.y + q0perp * st1.y;
		float det = max( dot( T, T ), dot( B, B ) );
		float scale = ( det == 0.0 ) ? 0.0 : inversesqrt( det );
		return mat3( T * scale, B * scale, N );
	}
#endif`,RO=`#ifdef USE_CLEARCOAT
	vec3 clearcoatNormal = nonPerturbedNormal;
#endif`,IO=`#ifdef USE_CLEARCOAT_NORMALMAP
	vec3 clearcoatMapN = texture2D( clearcoatNormalMap, vClearcoatNormalMapUv ).xyz * 2.0 - 1.0;
	clearcoatMapN.xy *= clearcoatNormalScale;
	clearcoatNormal = normalize( tbn2 * clearcoatMapN );
#endif`,PO=`#ifdef USE_CLEARCOATMAP
	uniform sampler2D clearcoatMap;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	uniform sampler2D clearcoatNormalMap;
	uniform vec2 clearcoatNormalScale;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	uniform sampler2D clearcoatRoughnessMap;
#endif`,kO=`#ifdef USE_IRIDESCENCEMAP
	uniform sampler2D iridescenceMap;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	uniform sampler2D iridescenceThicknessMap;
#endif`,OO=`#ifdef OPAQUE
diffuseColor.a = 1.0;
#endif
#ifdef USE_TRANSMISSION
diffuseColor.a *= material.transmissionAlpha;
#endif
gl_FragColor = vec4( outgoingLight, diffuseColor.a );`,DO=`vec3 packNormalToRGB( const in vec3 normal ) {
	return normalize( normal ) * 0.5 + 0.5;
}
vec3 unpackRGBToNormal( const in vec3 rgb ) {
	return 2.0 * rgb.xyz - 1.0;
}
const float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;
const vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );
const vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );
const float ShiftRight8 = 1. / 256.;
vec4 packDepthToRGBA( const in float v ) {
	vec4 r = vec4( fract( v * PackFactors ), v );
	r.yzw -= r.xyz * ShiftRight8;	return r * PackUpscale;
}
float unpackRGBAToDepth( const in vec4 v ) {
	return dot( v, UnpackFactors );
}
vec2 packDepthToRG( in highp float v ) {
	return packDepthToRGBA( v ).yx;
}
float unpackRGToDepth( const in highp vec2 v ) {
	return unpackRGBAToDepth( vec4( v.xy, 0.0, 0.0 ) );
}
vec4 pack2HalfToRGBA( vec2 v ) {
	vec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );
	return vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );
}
vec2 unpackRGBATo2Half( vec4 v ) {
	return vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );
}
float viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {
	return ( viewZ + near ) / ( near - far );
}
float orthographicDepthToViewZ( const in float depth, const in float near, const in float far ) {
	return depth * ( near - far ) - near;
}
float viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {
	return ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );
}
float perspectiveDepthToViewZ( const in float depth, const in float near, const in float far ) {
	return ( near * far ) / ( ( far - near ) * depth - far );
}`,LO=`#ifdef PREMULTIPLIED_ALPHA
	gl_FragColor.rgb *= gl_FragColor.a;
#endif`,zO=`vec4 mvPosition = vec4( transformed, 1.0 );
#ifdef USE_BATCHING
	mvPosition = batchingMatrix * mvPosition;
#endif
#ifdef USE_INSTANCING
	mvPosition = instanceMatrix * mvPosition;
#endif
mvPosition = modelViewMatrix * mvPosition;
gl_Position = projectionMatrix * mvPosition;`,NO=`#ifdef DITHERING
	gl_FragColor.rgb = dithering( gl_FragColor.rgb );
#endif`,UO=`#ifdef DITHERING
	vec3 dithering( vec3 color ) {
		float grid_position = rand( gl_FragCoord.xy );
		vec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );
		dither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );
		return color + dither_shift_RGB;
	}
#endif`,BO=`float roughnessFactor = roughness;
#ifdef USE_ROUGHNESSMAP
	vec4 texelRoughness = texture2D( roughnessMap, vRoughnessMapUv );
	roughnessFactor *= texelRoughness.g;
#endif`,FO=`#ifdef USE_ROUGHNESSMAP
	uniform sampler2D roughnessMap;
#endif`,GO=`#if NUM_SPOT_LIGHT_COORDS > 0
	varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];
#endif
#if NUM_SPOT_LIGHT_MAPS > 0
	uniform sampler2D spotLightMap[ NUM_SPOT_LIGHT_MAPS ];
#endif
#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
		uniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];
		varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];
		struct DirectionalLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
		uniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];
		struct SpotLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		uniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];
		varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];
		struct PointLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
			float shadowCameraNear;
			float shadowCameraFar;
		};
		uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];
	#endif
	float texture2DCompare( sampler2D depths, vec2 uv, float compare ) {
		return step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );
	}
	vec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {
		return unpackRGBATo2Half( texture2D( shadow, uv ) );
	}
	float VSMShadow (sampler2D shadow, vec2 uv, float compare ){
		float occlusion = 1.0;
		vec2 distribution = texture2DDistribution( shadow, uv );
		float hard_shadow = step( compare , distribution.x );
		if (hard_shadow != 1.0 ) {
			float distance = compare - distribution.x ;
			float variance = max( 0.00000, distribution.y * distribution.y );
			float softness_probability = variance / (variance + distance * distance );			softness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );			occlusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );
		}
		return occlusion;
	}
	float getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {
		float shadow = 1.0;
		shadowCoord.xyz /= shadowCoord.w;
		shadowCoord.z += shadowBias;
		bool inFrustum = shadowCoord.x >= 0.0 && shadowCoord.x <= 1.0 && shadowCoord.y >= 0.0 && shadowCoord.y <= 1.0;
		bool frustumTest = inFrustum && shadowCoord.z <= 1.0;
		if ( frustumTest ) {
		#if defined( SHADOWMAP_TYPE_PCF )
			vec2 texelSize = vec2( 1.0 ) / shadowMapSize;
			float dx0 = - texelSize.x * shadowRadius;
			float dy0 = - texelSize.y * shadowRadius;
			float dx1 = + texelSize.x * shadowRadius;
			float dy1 = + texelSize.y * shadowRadius;
			float dx2 = dx0 / 2.0;
			float dy2 = dy0 / 2.0;
			float dx3 = dx1 / 2.0;
			float dy3 = dy1 / 2.0;
			shadow = (
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )
			) * ( 1.0 / 17.0 );
		#elif defined( SHADOWMAP_TYPE_PCF_SOFT )
			vec2 texelSize = vec2( 1.0 ) / shadowMapSize;
			float dx = texelSize.x;
			float dy = texelSize.y;
			vec2 uv = shadowCoord.xy;
			vec2 f = fract( uv * shadowMapSize + 0.5 );
			uv -= f * texelSize;
			shadow = (
				texture2DCompare( shadowMap, uv, shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +
				texture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +
				mix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),
					 f.x ) +
				mix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),
					 f.x ) +
				mix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),
					 f.y ) +
				mix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ),
					 texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),
					 f.y ) +
				mix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ),
						  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),
						  f.x ),
					 mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ),
						  texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),
						  f.x ),
					 f.y )
			) * ( 1.0 / 9.0 );
		#elif defined( SHADOWMAP_TYPE_VSM )
			shadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );
		#else
			shadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );
		#endif
		}
		return shadow;
	}
	vec2 cubeToUV( vec3 v, float texelSizeY ) {
		vec3 absV = abs( v );
		float scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );
		absV *= scaleToCube;
		v *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );
		vec2 planar = v.xy;
		float almostATexel = 1.5 * texelSizeY;
		float almostOne = 1.0 - almostATexel;
		if ( absV.z >= almostOne ) {
			if ( v.z > 0.0 )
				planar.x = 4.0 - v.x;
		} else if ( absV.x >= almostOne ) {
			float signX = sign( v.x );
			planar.x = v.z * signX + 2.0 * signX;
		} else if ( absV.y >= almostOne ) {
			float signY = sign( v.y );
			planar.x = v.x + 2.0 * signY + 2.0;
			planar.y = v.z * signY - 2.0;
		}
		return vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );
	}
	float getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {
		vec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );
		vec3 lightToPosition = shadowCoord.xyz;
		float dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );		dp += shadowBias;
		vec3 bd3D = normalize( lightToPosition );
		#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )
			vec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;
			return (
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +
				texture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )
			) * ( 1.0 / 9.0 );
		#else
			return texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );
		#endif
	}
#endif`,WO=`#if NUM_SPOT_LIGHT_COORDS > 0
	uniform mat4 spotLightMatrix[ NUM_SPOT_LIGHT_COORDS ];
	varying vec4 vSpotLightCoord[ NUM_SPOT_LIGHT_COORDS ];
#endif
#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
		uniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];
		varying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];
		struct DirectionalLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
		struct SpotLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
		};
		uniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		uniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];
		varying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];
		struct PointLightShadow {
			float shadowBias;
			float shadowNormalBias;
			float shadowRadius;
			vec2 shadowMapSize;
			float shadowCameraNear;
			float shadowCameraFar;
		};
		uniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];
	#endif
#endif`,VO=`#if ( defined( USE_SHADOWMAP ) && ( NUM_DIR_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0 ) ) || ( NUM_SPOT_LIGHT_COORDS > 0 )
	vec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );
	vec4 shadowWorldPosition;
#endif
#if defined( USE_SHADOWMAP )
	#if NUM_DIR_LIGHT_SHADOWS > 0
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {
			shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );
			vDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;
		}
		#pragma unroll_loop_end
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
		#pragma unroll_loop_start
		for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {
			shadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );
			vPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;
		}
		#pragma unroll_loop_end
	#endif
#endif
#if NUM_SPOT_LIGHT_COORDS > 0
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHT_COORDS; i ++ ) {
		shadowWorldPosition = worldPosition;
		#if ( defined( USE_SHADOWMAP ) && UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )
			shadowWorldPosition.xyz += shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias;
		#endif
		vSpotLightCoord[ i ] = spotLightMatrix[ i ] * shadowWorldPosition;
	}
	#pragma unroll_loop_end
#endif`,HO=`float getShadowMask() {
	float shadow = 1.0;
	#ifdef USE_SHADOWMAP
	#if NUM_DIR_LIGHT_SHADOWS > 0
	DirectionalLightShadow directionalLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {
		directionalLight = directionalLightShadows[ i ];
		shadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#if NUM_SPOT_LIGHT_SHADOWS > 0
	SpotLightShadow spotLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {
		spotLight = spotLightShadows[ i ];
		shadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotLightCoord[ i ] ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#if NUM_POINT_LIGHT_SHADOWS > 0
	PointLightShadow pointLight;
	#pragma unroll_loop_start
	for ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {
		pointLight = pointLightShadows[ i ];
		shadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;
	}
	#pragma unroll_loop_end
	#endif
	#endif
	return shadow;
}`,qO=`#ifdef USE_SKINNING
	mat4 boneMatX = getBoneMatrix( skinIndex.x );
	mat4 boneMatY = getBoneMatrix( skinIndex.y );
	mat4 boneMatZ = getBoneMatrix( skinIndex.z );
	mat4 boneMatW = getBoneMatrix( skinIndex.w );
#endif`,jO=`#ifdef USE_SKINNING
	uniform mat4 bindMatrix;
	uniform mat4 bindMatrixInverse;
	uniform highp sampler2D boneTexture;
	mat4 getBoneMatrix( const in float i ) {
		int size = textureSize( boneTexture, 0 ).x;
		int j = int( i ) * 4;
		int x = j % size;
		int y = j / size;
		vec4 v1 = texelFetch( boneTexture, ivec2( x, y ), 0 );
		vec4 v2 = texelFetch( boneTexture, ivec2( x + 1, y ), 0 );
		vec4 v3 = texelFetch( boneTexture, ivec2( x + 2, y ), 0 );
		vec4 v4 = texelFetch( boneTexture, ivec2( x + 3, y ), 0 );
		return mat4( v1, v2, v3, v4 );
	}
#endif`,XO=`#ifdef USE_SKINNING
	vec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );
	vec4 skinned = vec4( 0.0 );
	skinned += boneMatX * skinVertex * skinWeight.x;
	skinned += boneMatY * skinVertex * skinWeight.y;
	skinned += boneMatZ * skinVertex * skinWeight.z;
	skinned += boneMatW * skinVertex * skinWeight.w;
	transformed = ( bindMatrixInverse * skinned ).xyz;
#endif`,YO=`#ifdef USE_SKINNING
	mat4 skinMatrix = mat4( 0.0 );
	skinMatrix += skinWeight.x * boneMatX;
	skinMatrix += skinWeight.y * boneMatY;
	skinMatrix += skinWeight.z * boneMatZ;
	skinMatrix += skinWeight.w * boneMatW;
	skinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;
	objectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;
	#ifdef USE_TANGENT
		objectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;
	#endif
#endif`,KO=`float specularStrength;
#ifdef USE_SPECULARMAP
	vec4 texelSpecular = texture2D( specularMap, vSpecularMapUv );
	specularStrength = texelSpecular.r;
#else
	specularStrength = 1.0;
#endif`,ZO=`#ifdef USE_SPECULARMAP
	uniform sampler2D specularMap;
#endif`,QO=`#if defined( TONE_MAPPING )
	gl_FragColor.rgb = toneMapping( gl_FragColor.rgb );
#endif`,JO=`#ifndef saturate
#define saturate( a ) clamp( a, 0.0, 1.0 )
#endif
uniform float toneMappingExposure;
vec3 LinearToneMapping( vec3 color ) {
	return saturate( toneMappingExposure * color );
}
vec3 ReinhardToneMapping( vec3 color ) {
	color *= toneMappingExposure;
	return saturate( color / ( vec3( 1.0 ) + color ) );
}
vec3 OptimizedCineonToneMapping( vec3 color ) {
	color *= toneMappingExposure;
	color = max( vec3( 0.0 ), color - 0.004 );
	return pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );
}
vec3 RRTAndODTFit( vec3 v ) {
	vec3 a = v * ( v + 0.0245786 ) - 0.000090537;
	vec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;
	return a / b;
}
vec3 ACESFilmicToneMapping( vec3 color ) {
	const mat3 ACESInputMat = mat3(
		vec3( 0.59719, 0.07600, 0.02840 ),		vec3( 0.35458, 0.90834, 0.13383 ),
		vec3( 0.04823, 0.01566, 0.83777 )
	);
	const mat3 ACESOutputMat = mat3(
		vec3(  1.60475, -0.10208, -0.00327 ),		vec3( -0.53108,  1.10813, -0.07276 ),
		vec3( -0.07367, -0.00605,  1.07602 )
	);
	color *= toneMappingExposure / 0.6;
	color = ACESInputMat * color;
	color = RRTAndODTFit( color );
	color = ACESOutputMat * color;
	return saturate( color );
}
const mat3 LINEAR_REC2020_TO_LINEAR_SRGB = mat3(
	vec3( 1.6605, - 0.1246, - 0.0182 ),
	vec3( - 0.5876, 1.1329, - 0.1006 ),
	vec3( - 0.0728, - 0.0083, 1.1187 )
);
const mat3 LINEAR_SRGB_TO_LINEAR_REC2020 = mat3(
	vec3( 0.6274, 0.0691, 0.0164 ),
	vec3( 0.3293, 0.9195, 0.0880 ),
	vec3( 0.0433, 0.0113, 0.8956 )
);
vec3 agxDefaultContrastApprox( vec3 x ) {
	vec3 x2 = x * x;
	vec3 x4 = x2 * x2;
	return + 15.5 * x4 * x2
		- 40.14 * x4 * x
		+ 31.96 * x4
		- 6.868 * x2 * x
		+ 0.4298 * x2
		+ 0.1191 * x
		- 0.00232;
}
vec3 AgXToneMapping( vec3 color ) {
	const mat3 AgXInsetMatrix = mat3(
		vec3( 0.856627153315983, 0.137318972929847, 0.11189821299995 ),
		vec3( 0.0951212405381588, 0.761241990602591, 0.0767994186031903 ),
		vec3( 0.0482516061458583, 0.101439036467562, 0.811302368396859 )
	);
	const mat3 AgXOutsetMatrix = mat3(
		vec3( 1.1271005818144368, - 0.1413297634984383, - 0.14132976349843826 ),
		vec3( - 0.11060664309660323, 1.157823702216272, - 0.11060664309660294 ),
		vec3( - 0.016493938717834573, - 0.016493938717834257, 1.2519364065950405 )
	);
	const float AgxMinEv = - 12.47393;	const float AgxMaxEv = 4.026069;
	color = LINEAR_SRGB_TO_LINEAR_REC2020 * color;
	color *= toneMappingExposure;
	color = AgXInsetMatrix * color;
	color = max( color, 1e-10 );	color = log2( color );
	color = ( color - AgxMinEv ) / ( AgxMaxEv - AgxMinEv );
	color = clamp( color, 0.0, 1.0 );
	color = agxDefaultContrastApprox( color );
	color = AgXOutsetMatrix * color;
	color = pow( max( vec3( 0.0 ), color ), vec3( 2.2 ) );
	color = LINEAR_REC2020_TO_LINEAR_SRGB * color;
	return color;
}
vec3 CustomToneMapping( vec3 color ) { return color; }`,eD=`#ifdef USE_TRANSMISSION
	material.transmission = transmission;
	material.transmissionAlpha = 1.0;
	material.thickness = thickness;
	material.attenuationDistance = attenuationDistance;
	material.attenuationColor = attenuationColor;
	#ifdef USE_TRANSMISSIONMAP
		material.transmission *= texture2D( transmissionMap, vTransmissionMapUv ).r;
	#endif
	#ifdef USE_THICKNESSMAP
		material.thickness *= texture2D( thicknessMap, vThicknessMapUv ).g;
	#endif
	vec3 pos = vWorldPosition;
	vec3 v = normalize( cameraPosition - pos );
	vec3 n = inverseTransformDirection( normal, viewMatrix );
	vec4 transmitted = getIBLVolumeRefraction(
		n, v, material.roughness, material.diffuseColor, material.specularColor, material.specularF90,
		pos, modelMatrix, viewMatrix, projectionMatrix, material.ior, material.thickness,
		material.attenuationColor, material.attenuationDistance );
	material.transmissionAlpha = mix( material.transmissionAlpha, transmitted.a, material.transmission );
	totalDiffuse = mix( totalDiffuse, transmitted.rgb, material.transmission );
#endif`,tD=`#ifdef USE_TRANSMISSION
	uniform float transmission;
	uniform float thickness;
	uniform float attenuationDistance;
	uniform vec3 attenuationColor;
	#ifdef USE_TRANSMISSIONMAP
		uniform sampler2D transmissionMap;
	#endif
	#ifdef USE_THICKNESSMAP
		uniform sampler2D thicknessMap;
	#endif
	uniform vec2 transmissionSamplerSize;
	uniform sampler2D transmissionSamplerMap;
	uniform mat4 modelMatrix;
	uniform mat4 projectionMatrix;
	varying vec3 vWorldPosition;
	float w0( float a ) {
		return ( 1.0 / 6.0 ) * ( a * ( a * ( - a + 3.0 ) - 3.0 ) + 1.0 );
	}
	float w1( float a ) {
		return ( 1.0 / 6.0 ) * ( a *  a * ( 3.0 * a - 6.0 ) + 4.0 );
	}
	float w2( float a ){
		return ( 1.0 / 6.0 ) * ( a * ( a * ( - 3.0 * a + 3.0 ) + 3.0 ) + 1.0 );
	}
	float w3( float a ) {
		return ( 1.0 / 6.0 ) * ( a * a * a );
	}
	float g0( float a ) {
		return w0( a ) + w1( a );
	}
	float g1( float a ) {
		return w2( a ) + w3( a );
	}
	float h0( float a ) {
		return - 1.0 + w1( a ) / ( w0( a ) + w1( a ) );
	}
	float h1( float a ) {
		return 1.0 + w3( a ) / ( w2( a ) + w3( a ) );
	}
	vec4 bicubic( sampler2D tex, vec2 uv, vec4 texelSize, float lod ) {
		uv = uv * texelSize.zw + 0.5;
		vec2 iuv = floor( uv );
		vec2 fuv = fract( uv );
		float g0x = g0( fuv.x );
		float g1x = g1( fuv.x );
		float h0x = h0( fuv.x );
		float h1x = h1( fuv.x );
		float h0y = h0( fuv.y );
		float h1y = h1( fuv.y );
		vec2 p0 = ( vec2( iuv.x + h0x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;
		vec2 p1 = ( vec2( iuv.x + h1x, iuv.y + h0y ) - 0.5 ) * texelSize.xy;
		vec2 p2 = ( vec2( iuv.x + h0x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;
		vec2 p3 = ( vec2( iuv.x + h1x, iuv.y + h1y ) - 0.5 ) * texelSize.xy;
		return g0( fuv.y ) * ( g0x * textureLod( tex, p0, lod ) + g1x * textureLod( tex, p1, lod ) ) +
			g1( fuv.y ) * ( g0x * textureLod( tex, p2, lod ) + g1x * textureLod( tex, p3, lod ) );
	}
	vec4 textureBicubic( sampler2D sampler, vec2 uv, float lod ) {
		vec2 fLodSize = vec2( textureSize( sampler, int( lod ) ) );
		vec2 cLodSize = vec2( textureSize( sampler, int( lod + 1.0 ) ) );
		vec2 fLodSizeInv = 1.0 / fLodSize;
		vec2 cLodSizeInv = 1.0 / cLodSize;
		vec4 fSample = bicubic( sampler, uv, vec4( fLodSizeInv, fLodSize ), floor( lod ) );
		vec4 cSample = bicubic( sampler, uv, vec4( cLodSizeInv, cLodSize ), ceil( lod ) );
		return mix( fSample, cSample, fract( lod ) );
	}
	vec3 getVolumeTransmissionRay( const in vec3 n, const in vec3 v, const in float thickness, const in float ior, const in mat4 modelMatrix ) {
		vec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );
		vec3 modelScale;
		modelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );
		modelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );
		modelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );
		return normalize( refractionVector ) * thickness * modelScale;
	}
	float applyIorToRoughness( const in float roughness, const in float ior ) {
		return roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );
	}
	vec4 getTransmissionSample( const in vec2 fragCoord, const in float roughness, const in float ior ) {
		float lod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );
		return textureBicubic( transmissionSamplerMap, fragCoord.xy, lod );
	}
	vec3 volumeAttenuation( const in float transmissionDistance, const in vec3 attenuationColor, const in float attenuationDistance ) {
		if ( isinf( attenuationDistance ) ) {
			return vec3( 1.0 );
		} else {
			vec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;
			vec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );			return transmittance;
		}
	}
	vec4 getIBLVolumeRefraction( const in vec3 n, const in vec3 v, const in float roughness, const in vec3 diffuseColor,
		const in vec3 specularColor, const in float specularF90, const in vec3 position, const in mat4 modelMatrix,
		const in mat4 viewMatrix, const in mat4 projMatrix, const in float ior, const in float thickness,
		const in vec3 attenuationColor, const in float attenuationDistance ) {
		vec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );
		vec3 refractedRayExit = position + transmissionRay;
		vec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );
		vec2 refractionCoords = ndcPos.xy / ndcPos.w;
		refractionCoords += 1.0;
		refractionCoords /= 2.0;
		vec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );
		vec3 transmittance = diffuseColor * volumeAttenuation( length( transmissionRay ), attenuationColor, attenuationDistance );
		vec3 attenuatedColor = transmittance * transmittedLight.rgb;
		vec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );
		float transmittanceFactor = ( transmittance.r + transmittance.g + transmittance.b ) / 3.0;
		return vec4( ( 1.0 - F ) * attenuatedColor, 1.0 - ( 1.0 - transmittedLight.a ) * transmittanceFactor );
	}
#endif`,nD=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	varying vec2 vUv;
#endif
#ifdef USE_MAP
	varying vec2 vMapUv;
#endif
#ifdef USE_ALPHAMAP
	varying vec2 vAlphaMapUv;
#endif
#ifdef USE_LIGHTMAP
	varying vec2 vLightMapUv;
#endif
#ifdef USE_AOMAP
	varying vec2 vAoMapUv;
#endif
#ifdef USE_BUMPMAP
	varying vec2 vBumpMapUv;
#endif
#ifdef USE_NORMALMAP
	varying vec2 vNormalMapUv;
#endif
#ifdef USE_EMISSIVEMAP
	varying vec2 vEmissiveMapUv;
#endif
#ifdef USE_METALNESSMAP
	varying vec2 vMetalnessMapUv;
#endif
#ifdef USE_ROUGHNESSMAP
	varying vec2 vRoughnessMapUv;
#endif
#ifdef USE_ANISOTROPYMAP
	varying vec2 vAnisotropyMapUv;
#endif
#ifdef USE_CLEARCOATMAP
	varying vec2 vClearcoatMapUv;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	varying vec2 vClearcoatNormalMapUv;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	varying vec2 vClearcoatRoughnessMapUv;
#endif
#ifdef USE_IRIDESCENCEMAP
	varying vec2 vIridescenceMapUv;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	varying vec2 vIridescenceThicknessMapUv;
#endif
#ifdef USE_SHEEN_COLORMAP
	varying vec2 vSheenColorMapUv;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	varying vec2 vSheenRoughnessMapUv;
#endif
#ifdef USE_SPECULARMAP
	varying vec2 vSpecularMapUv;
#endif
#ifdef USE_SPECULAR_COLORMAP
	varying vec2 vSpecularColorMapUv;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	varying vec2 vSpecularIntensityMapUv;
#endif
#ifdef USE_TRANSMISSIONMAP
	uniform mat3 transmissionMapTransform;
	varying vec2 vTransmissionMapUv;
#endif
#ifdef USE_THICKNESSMAP
	uniform mat3 thicknessMapTransform;
	varying vec2 vThicknessMapUv;
#endif`,rD=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	varying vec2 vUv;
#endif
#ifdef USE_MAP
	uniform mat3 mapTransform;
	varying vec2 vMapUv;
#endif
#ifdef USE_ALPHAMAP
	uniform mat3 alphaMapTransform;
	varying vec2 vAlphaMapUv;
#endif
#ifdef USE_LIGHTMAP
	uniform mat3 lightMapTransform;
	varying vec2 vLightMapUv;
#endif
#ifdef USE_AOMAP
	uniform mat3 aoMapTransform;
	varying vec2 vAoMapUv;
#endif
#ifdef USE_BUMPMAP
	uniform mat3 bumpMapTransform;
	varying vec2 vBumpMapUv;
#endif
#ifdef USE_NORMALMAP
	uniform mat3 normalMapTransform;
	varying vec2 vNormalMapUv;
#endif
#ifdef USE_DISPLACEMENTMAP
	uniform mat3 displacementMapTransform;
	varying vec2 vDisplacementMapUv;
#endif
#ifdef USE_EMISSIVEMAP
	uniform mat3 emissiveMapTransform;
	varying vec2 vEmissiveMapUv;
#endif
#ifdef USE_METALNESSMAP
	uniform mat3 metalnessMapTransform;
	varying vec2 vMetalnessMapUv;
#endif
#ifdef USE_ROUGHNESSMAP
	uniform mat3 roughnessMapTransform;
	varying vec2 vRoughnessMapUv;
#endif
#ifdef USE_ANISOTROPYMAP
	uniform mat3 anisotropyMapTransform;
	varying vec2 vAnisotropyMapUv;
#endif
#ifdef USE_CLEARCOATMAP
	uniform mat3 clearcoatMapTransform;
	varying vec2 vClearcoatMapUv;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	uniform mat3 clearcoatNormalMapTransform;
	varying vec2 vClearcoatNormalMapUv;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	uniform mat3 clearcoatRoughnessMapTransform;
	varying vec2 vClearcoatRoughnessMapUv;
#endif
#ifdef USE_SHEEN_COLORMAP
	uniform mat3 sheenColorMapTransform;
	varying vec2 vSheenColorMapUv;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	uniform mat3 sheenRoughnessMapTransform;
	varying vec2 vSheenRoughnessMapUv;
#endif
#ifdef USE_IRIDESCENCEMAP
	uniform mat3 iridescenceMapTransform;
	varying vec2 vIridescenceMapUv;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	uniform mat3 iridescenceThicknessMapTransform;
	varying vec2 vIridescenceThicknessMapUv;
#endif
#ifdef USE_SPECULARMAP
	uniform mat3 specularMapTransform;
	varying vec2 vSpecularMapUv;
#endif
#ifdef USE_SPECULAR_COLORMAP
	uniform mat3 specularColorMapTransform;
	varying vec2 vSpecularColorMapUv;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	uniform mat3 specularIntensityMapTransform;
	varying vec2 vSpecularIntensityMapUv;
#endif
#ifdef USE_TRANSMISSIONMAP
	uniform mat3 transmissionMapTransform;
	varying vec2 vTransmissionMapUv;
#endif
#ifdef USE_THICKNESSMAP
	uniform mat3 thicknessMapTransform;
	varying vec2 vThicknessMapUv;
#endif`,iD=`#if defined( USE_UV ) || defined( USE_ANISOTROPY )
	vUv = vec3( uv, 1 ).xy;
#endif
#ifdef USE_MAP
	vMapUv = ( mapTransform * vec3( MAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ALPHAMAP
	vAlphaMapUv = ( alphaMapTransform * vec3( ALPHAMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_LIGHTMAP
	vLightMapUv = ( lightMapTransform * vec3( LIGHTMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_AOMAP
	vAoMapUv = ( aoMapTransform * vec3( AOMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_BUMPMAP
	vBumpMapUv = ( bumpMapTransform * vec3( BUMPMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_NORMALMAP
	vNormalMapUv = ( normalMapTransform * vec3( NORMALMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_DISPLACEMENTMAP
	vDisplacementMapUv = ( displacementMapTransform * vec3( DISPLACEMENTMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_EMISSIVEMAP
	vEmissiveMapUv = ( emissiveMapTransform * vec3( EMISSIVEMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_METALNESSMAP
	vMetalnessMapUv = ( metalnessMapTransform * vec3( METALNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ROUGHNESSMAP
	vRoughnessMapUv = ( roughnessMapTransform * vec3( ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_ANISOTROPYMAP
	vAnisotropyMapUv = ( anisotropyMapTransform * vec3( ANISOTROPYMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOATMAP
	vClearcoatMapUv = ( clearcoatMapTransform * vec3( CLEARCOATMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOAT_NORMALMAP
	vClearcoatNormalMapUv = ( clearcoatNormalMapTransform * vec3( CLEARCOAT_NORMALMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_CLEARCOAT_ROUGHNESSMAP
	vClearcoatRoughnessMapUv = ( clearcoatRoughnessMapTransform * vec3( CLEARCOAT_ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_IRIDESCENCEMAP
	vIridescenceMapUv = ( iridescenceMapTransform * vec3( IRIDESCENCEMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_IRIDESCENCE_THICKNESSMAP
	vIridescenceThicknessMapUv = ( iridescenceThicknessMapTransform * vec3( IRIDESCENCE_THICKNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SHEEN_COLORMAP
	vSheenColorMapUv = ( sheenColorMapTransform * vec3( SHEEN_COLORMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SHEEN_ROUGHNESSMAP
	vSheenRoughnessMapUv = ( sheenRoughnessMapTransform * vec3( SHEEN_ROUGHNESSMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULARMAP
	vSpecularMapUv = ( specularMapTransform * vec3( SPECULARMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULAR_COLORMAP
	vSpecularColorMapUv = ( specularColorMapTransform * vec3( SPECULAR_COLORMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_SPECULAR_INTENSITYMAP
	vSpecularIntensityMapUv = ( specularIntensityMapTransform * vec3( SPECULAR_INTENSITYMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_TRANSMISSIONMAP
	vTransmissionMapUv = ( transmissionMapTransform * vec3( TRANSMISSIONMAP_UV, 1 ) ).xy;
#endif
#ifdef USE_THICKNESSMAP
	vThicknessMapUv = ( thicknessMapTransform * vec3( THICKNESSMAP_UV, 1 ) ).xy;
#endif`,aD=`#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION ) || NUM_SPOT_LIGHT_COORDS > 0
	vec4 worldPosition = vec4( transformed, 1.0 );
	#ifdef USE_BATCHING
		worldPosition = batchingMatrix * worldPosition;
	#endif
	#ifdef USE_INSTANCING
		worldPosition = instanceMatrix * worldPosition;
	#endif
	worldPosition = modelMatrix * worldPosition;
#endif`;const sD=`varying vec2 vUv;
uniform mat3 uvTransform;
void main() {
	vUv = ( uvTransform * vec3( uv, 1 ) ).xy;
	gl_Position = vec4( position.xy, 1.0, 1.0 );
}`,oD=`uniform sampler2D t2D;
uniform float backgroundIntensity;
varying vec2 vUv;
void main() {
	vec4 texColor = texture2D( t2D, vUv );
	#ifdef DECODE_VIDEO_TEXTURE
		texColor = vec4( mix( pow( texColor.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), texColor.rgb * 0.0773993808, vec3( lessThanEqual( texColor.rgb, vec3( 0.04045 ) ) ) ), texColor.w );
	#endif
	texColor.rgb *= backgroundIntensity;
	gl_FragColor = texColor;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,lD=`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
	gl_Position.z = gl_Position.w;
}`,uD=`#ifdef ENVMAP_TYPE_CUBE
	uniform samplerCube envMap;
#elif defined( ENVMAP_TYPE_CUBE_UV )
	uniform sampler2D envMap;
#endif
uniform float flipEnvMap;
uniform float backgroundBlurriness;
uniform float backgroundIntensity;
varying vec3 vWorldDirection;
#include <cube_uv_reflection_fragment>
void main() {
	#ifdef ENVMAP_TYPE_CUBE
		vec4 texColor = textureCube( envMap, vec3( flipEnvMap * vWorldDirection.x, vWorldDirection.yz ) );
	#elif defined( ENVMAP_TYPE_CUBE_UV )
		vec4 texColor = textureCubeUV( envMap, vWorldDirection, backgroundBlurriness );
	#else
		vec4 texColor = vec4( 0.0, 0.0, 0.0, 1.0 );
	#endif
	texColor.rgb *= backgroundIntensity;
	gl_FragColor = texColor;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,cD=`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
	gl_Position.z = gl_Position.w;
}`,dD=`uniform samplerCube tCube;
uniform float tFlip;
uniform float opacity;
varying vec3 vWorldDirection;
void main() {
	vec4 texColor = textureCube( tCube, vec3( tFlip * vWorldDirection.x, vWorldDirection.yz ) );
	gl_FragColor = texColor;
	gl_FragColor.a *= opacity;
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,hD=`#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
varying vec2 vHighPrecisionZW;
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <skinbase_vertex>
	#ifdef USE_DISPLACEMENTMAP
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vHighPrecisionZW = gl_Position.zw;
}`,pD=`#if DEPTH_PACKING == 3200
	uniform float opacity;
#endif
#include <common>
#include <packing>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
varying vec2 vHighPrecisionZW;
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( 1.0 );
	#if DEPTH_PACKING == 3200
		diffuseColor.a = opacity;
	#endif
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <logdepthbuf_fragment>
	float fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;
	#if DEPTH_PACKING == 3200
		gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );
	#elif DEPTH_PACKING == 3201
		gl_FragColor = packDepthToRGBA( fragCoordZ );
	#endif
}`,fD=`#define DISTANCE
varying vec3 vWorldPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <skinbase_vertex>
	#ifdef USE_DISPLACEMENTMAP
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <worldpos_vertex>
	#include <clipping_planes_vertex>
	vWorldPosition = worldPosition.xyz;
}`,mD=`#define DISTANCE
uniform vec3 referencePosition;
uniform float nearDistance;
uniform float farDistance;
varying vec3 vWorldPosition;
#include <common>
#include <packing>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <clipping_planes_pars_fragment>
void main () {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( 1.0 );
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	float dist = length( vWorldPosition - referencePosition );
	dist = ( dist - nearDistance ) / ( farDistance - nearDistance );
	dist = saturate( dist );
	gl_FragColor = packDepthToRGBA( dist );
}`,gD=`varying vec3 vWorldDirection;
#include <common>
void main() {
	vWorldDirection = transformDirection( position, modelMatrix );
	#include <begin_vertex>
	#include <project_vertex>
}`,_D=`uniform sampler2D tEquirect;
varying vec3 vWorldDirection;
#include <common>
void main() {
	vec3 direction = normalize( vWorldDirection );
	vec2 sampleUV = equirectUv( direction );
	gl_FragColor = texture2D( tEquirect, sampleUV );
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
}`,yD=`uniform float scale;
attribute float lineDistance;
varying float vLineDistance;
#include <common>
#include <uv_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	vLineDistance = scale * lineDistance;
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
}`,vD=`uniform vec3 diffuse;
uniform float opacity;
uniform float dashSize;
uniform float totalSize;
varying float vLineDistance;
#include <common>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	if ( mod( vLineDistance, totalSize ) > dashSize ) {
		discard;
	}
	vec3 outgoingLight = vec3( 0.0 );
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
}`,wD=`#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )
		#include <beginnormal_vertex>
		#include <morphnormal_vertex>
		#include <skinbase_vertex>
		#include <skinnormal_vertex>
		#include <defaultnormal_vertex>
	#endif
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <fog_vertex>
}`,bD=`uniform vec3 diffuse;
uniform float opacity;
#ifndef FLAT_SHADED
	varying vec3 vNormal;
#endif
#include <common>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	#ifdef USE_LIGHTMAP
		vec4 lightMapTexel = texture2D( lightMap, vLightMapUv );
		reflectedLight.indirectDiffuse += lightMapTexel.rgb * lightMapIntensity * RECIPROCAL_PI;
	#else
		reflectedLight.indirectDiffuse += vec3( 1.0 );
	#endif
	#include <aomap_fragment>
	reflectedLight.indirectDiffuse *= diffuseColor.rgb;
	vec3 outgoingLight = reflectedLight.indirectDiffuse;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,xD=`#define LAMBERT
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,SD=`#define LAMBERT
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_lambert_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_lambert_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,ED=`#define MATCAP
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <color_pars_vertex>
#include <displacementmap_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
	vViewPosition = - mvPosition.xyz;
}`,MD=`#define MATCAP
uniform vec3 diffuse;
uniform float opacity;
uniform sampler2D matcap;
varying vec3 vViewPosition;
#include <common>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <normal_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	vec3 viewDir = normalize( vViewPosition );
	vec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );
	vec3 y = cross( viewDir, x );
	vec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;
	#ifdef USE_MATCAP
		vec4 matcapColor = texture2D( matcap, uv );
	#else
		vec4 matcapColor = vec4( vec3( mix( 0.2, 0.8, uv.y ) ), 1.0 );
	#endif
	vec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,TD=`#define NORMAL
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	varying vec3 vViewPosition;
#endif
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	vViewPosition = - mvPosition.xyz;
#endif
}`,AD=`#define NORMAL
uniform float opacity;
#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP_TANGENTSPACE )
	varying vec3 vViewPosition;
#endif
#include <packing>
#include <uv_pars_fragment>
#include <normal_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	#include <logdepthbuf_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	gl_FragColor = vec4( packNormalToRGB( normal ), opacity );
	#ifdef OPAQUE
		gl_FragColor.a = 1.0;
	#endif
}`,CD=`#define PHONG
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <envmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <envmap_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,$D=`#define PHONG
uniform vec3 diffuse;
uniform vec3 emissive;
uniform vec3 specular;
uniform float shininess;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_phong_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <specularmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <specularmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_phong_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;
	#include <envmap_fragment>
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,RD=`#define STANDARD
varying vec3 vViewPosition;
#ifdef USE_TRANSMISSION
	varying vec3 vWorldPosition;
#endif
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
#ifdef USE_TRANSMISSION
	vWorldPosition = worldPosition.xyz;
#endif
}`,ID=`#define STANDARD
#ifdef PHYSICAL
	#define IOR
	#define USE_SPECULAR
#endif
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float roughness;
uniform float metalness;
uniform float opacity;
#ifdef IOR
	uniform float ior;
#endif
#ifdef USE_SPECULAR
	uniform float specularIntensity;
	uniform vec3 specularColor;
	#ifdef USE_SPECULAR_COLORMAP
		uniform sampler2D specularColorMap;
	#endif
	#ifdef USE_SPECULAR_INTENSITYMAP
		uniform sampler2D specularIntensityMap;
	#endif
#endif
#ifdef USE_CLEARCOAT
	uniform float clearcoat;
	uniform float clearcoatRoughness;
#endif
#ifdef USE_IRIDESCENCE
	uniform float iridescence;
	uniform float iridescenceIOR;
	uniform float iridescenceThicknessMinimum;
	uniform float iridescenceThicknessMaximum;
#endif
#ifdef USE_SHEEN
	uniform vec3 sheenColor;
	uniform float sheenRoughness;
	#ifdef USE_SHEEN_COLORMAP
		uniform sampler2D sheenColorMap;
	#endif
	#ifdef USE_SHEEN_ROUGHNESSMAP
		uniform sampler2D sheenRoughnessMap;
	#endif
#endif
#ifdef USE_ANISOTROPY
	uniform vec2 anisotropyVector;
	#ifdef USE_ANISOTROPYMAP
		uniform sampler2D anisotropyMap;
	#endif
#endif
varying vec3 vViewPosition;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <iridescence_fragment>
#include <cube_uv_reflection_fragment>
#include <envmap_common_pars_fragment>
#include <envmap_physical_pars_fragment>
#include <fog_pars_fragment>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_physical_pars_fragment>
#include <transmission_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <clearcoat_pars_fragment>
#include <iridescence_pars_fragment>
#include <roughnessmap_pars_fragment>
#include <metalnessmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <roughnessmap_fragment>
	#include <metalnessmap_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <clearcoat_normal_fragment_begin>
	#include <clearcoat_normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_physical_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;
	vec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;
	#include <transmission_fragment>
	vec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;
	#ifdef USE_SHEEN
		float sheenEnergyComp = 1.0 - 0.157 * max3( material.sheenColor );
		outgoingLight = outgoingLight * sheenEnergyComp + sheenSpecularDirect + sheenSpecularIndirect;
	#endif
	#ifdef USE_CLEARCOAT
		float dotNVcc = saturate( dot( geometryClearcoatNormal, geometryViewDir ) );
		vec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );
		outgoingLight = outgoingLight * ( 1.0 - material.clearcoat * Fcc ) + ( clearcoatSpecularDirect + clearcoatSpecularIndirect ) * material.clearcoat;
	#endif
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,PD=`#define TOON
varying vec3 vViewPosition;
#include <common>
#include <batching_pars_vertex>
#include <uv_pars_vertex>
#include <displacementmap_pars_vertex>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <normal_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <shadowmap_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <normal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <displacementmap_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	vViewPosition = - mvPosition.xyz;
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,kD=`#define TOON
uniform vec3 diffuse;
uniform vec3 emissive;
uniform float opacity;
#include <common>
#include <packing>
#include <dithering_pars_fragment>
#include <color_pars_fragment>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <aomap_pars_fragment>
#include <lightmap_pars_fragment>
#include <emissivemap_pars_fragment>
#include <gradientmap_pars_fragment>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <normal_pars_fragment>
#include <lights_toon_pars_fragment>
#include <shadowmap_pars_fragment>
#include <bumpmap_pars_fragment>
#include <normalmap_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec4 diffuseColor = vec4( diffuse, opacity );
	ReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );
	vec3 totalEmissiveRadiance = emissive;
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <color_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	#include <normal_fragment_begin>
	#include <normal_fragment_maps>
	#include <emissivemap_fragment>
	#include <lights_toon_fragment>
	#include <lights_fragment_begin>
	#include <lights_fragment_maps>
	#include <lights_fragment_end>
	#include <aomap_fragment>
	vec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
	#include <dithering_fragment>
}`,OD=`uniform float size;
uniform float scale;
#include <common>
#include <color_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
#ifdef USE_POINTS_UV
	varying vec2 vUv;
	uniform mat3 uvTransform;
#endif
void main() {
	#ifdef USE_POINTS_UV
		vUv = ( uvTransform * vec3( uv, 1 ) ).xy;
	#endif
	#include <color_vertex>
	#include <morphcolor_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <project_vertex>
	gl_PointSize = size;
	#ifdef USE_SIZEATTENUATION
		bool isPerspective = isPerspectiveMatrix( projectionMatrix );
		if ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );
	#endif
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <worldpos_vertex>
	#include <fog_vertex>
}`,DD=`uniform vec3 diffuse;
uniform float opacity;
#include <common>
#include <color_pars_fragment>
#include <map_particle_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec3 outgoingLight = vec3( 0.0 );
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_particle_fragment>
	#include <color_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
	#include <premultiplied_alpha_fragment>
}`,LD=`#include <common>
#include <batching_pars_vertex>
#include <fog_pars_vertex>
#include <morphtarget_pars_vertex>
#include <skinning_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <shadowmap_pars_vertex>
void main() {
	#include <batching_vertex>
	#include <beginnormal_vertex>
	#include <morphnormal_vertex>
	#include <skinbase_vertex>
	#include <skinnormal_vertex>
	#include <defaultnormal_vertex>
	#include <begin_vertex>
	#include <morphtarget_vertex>
	#include <skinning_vertex>
	#include <project_vertex>
	#include <logdepthbuf_vertex>
	#include <worldpos_vertex>
	#include <shadowmap_vertex>
	#include <fog_vertex>
}`,zD=`uniform vec3 color;
uniform float opacity;
#include <common>
#include <packing>
#include <fog_pars_fragment>
#include <bsdfs>
#include <lights_pars_begin>
#include <logdepthbuf_pars_fragment>
#include <shadowmap_pars_fragment>
#include <shadowmask_pars_fragment>
void main() {
	#include <logdepthbuf_fragment>
	gl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
}`,ND=`uniform float rotation;
uniform vec2 center;
#include <common>
#include <uv_pars_vertex>
#include <fog_pars_vertex>
#include <logdepthbuf_pars_vertex>
#include <clipping_planes_pars_vertex>
void main() {
	#include <uv_vertex>
	vec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );
	vec2 scale;
	scale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );
	scale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );
	#ifndef USE_SIZEATTENUATION
		bool isPerspective = isPerspectiveMatrix( projectionMatrix );
		if ( isPerspective ) scale *= - mvPosition.z;
	#endif
	vec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;
	vec2 rotatedPosition;
	rotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;
	rotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;
	mvPosition.xy += rotatedPosition;
	gl_Position = projectionMatrix * mvPosition;
	#include <logdepthbuf_vertex>
	#include <clipping_planes_vertex>
	#include <fog_vertex>
}`,UD=`uniform vec3 diffuse;
uniform float opacity;
#include <common>
#include <uv_pars_fragment>
#include <map_pars_fragment>
#include <alphamap_pars_fragment>
#include <alphatest_pars_fragment>
#include <alphahash_pars_fragment>
#include <fog_pars_fragment>
#include <logdepthbuf_pars_fragment>
#include <clipping_planes_pars_fragment>
void main() {
	#include <clipping_planes_fragment>
	vec3 outgoingLight = vec3( 0.0 );
	vec4 diffuseColor = vec4( diffuse, opacity );
	#include <logdepthbuf_fragment>
	#include <map_fragment>
	#include <alphamap_fragment>
	#include <alphatest_fragment>
	#include <alphahash_fragment>
	outgoingLight = diffuseColor.rgb;
	#include <opaque_fragment>
	#include <tonemapping_fragment>
	#include <colorspace_fragment>
	#include <fog_fragment>
}`,Pt={alphahash_fragment:ok,alphahash_pars_fragment:lk,alphamap_fragment:uk,alphamap_pars_fragment:ck,alphatest_fragment:dk,alphatest_pars_fragment:hk,aomap_fragment:pk,aomap_pars_fragment:fk,batching_pars_vertex:mk,batching_vertex:gk,begin_vertex:_k,beginnormal_vertex:yk,bsdfs:vk,iridescence_fragment:wk,bumpmap_pars_fragment:bk,clipping_planes_fragment:xk,clipping_planes_pars_fragment:Sk,clipping_planes_pars_vertex:Ek,clipping_planes_vertex:Mk,color_fragment:Tk,color_pars_fragment:Ak,color_pars_vertex:Ck,color_vertex:$k,common:Rk,cube_uv_reflection_fragment:Ik,defaultnormal_vertex:Pk,displacementmap_pars_vertex:kk,displacementmap_vertex:Ok,emissivemap_fragment:Dk,emissivemap_pars_fragment:Lk,colorspace_fragment:zk,colorspace_pars_fragment:Nk,envmap_fragment:Uk,envmap_common_pars_fragment:Bk,envmap_pars_fragment:Fk,envmap_pars_vertex:Gk,envmap_physical_pars_fragment:eO,envmap_vertex:Wk,fog_vertex:Vk,fog_pars_vertex:Hk,fog_fragment:qk,fog_pars_fragment:jk,gradientmap_pars_fragment:Xk,lightmap_fragment:Yk,lightmap_pars_fragment:Kk,lights_lambert_fragment:Zk,lights_lambert_pars_fragment:Qk,lights_pars_begin:Jk,lights_toon_fragment:tO,lights_toon_pars_fragment:nO,lights_phong_fragment:rO,lights_phong_pars_fragment:iO,lights_physical_fragment:aO,lights_physical_pars_fragment:sO,lights_fragment_begin:oO,lights_fragment_maps:lO,lights_fragment_end:uO,logdepthbuf_fragment:cO,logdepthbuf_pars_fragment:dO,logdepthbuf_pars_vertex:hO,logdepthbuf_vertex:pO,map_fragment:fO,map_pars_fragment:mO,map_particle_fragment:gO,map_particle_pars_fragment:_O,metalnessmap_fragment:yO,metalnessmap_pars_fragment:vO,morphcolor_vertex:wO,morphnormal_vertex:bO,morphtarget_pars_vertex:xO,morphtarget_vertex:SO,normal_fragment_begin:EO,normal_fragment_maps:MO,normal_pars_fragment:TO,normal_pars_vertex:AO,normal_vertex:CO,normalmap_pars_fragment:$O,clearcoat_normal_fragment_begin:RO,clearcoat_normal_fragment_maps:IO,clearcoat_pars_fragment:PO,iridescence_pars_fragment:kO,opaque_fragment:OO,packing:DO,premultiplied_alpha_fragment:LO,project_vertex:zO,dithering_fragment:NO,dithering_pars_fragment:UO,roughnessmap_fragment:BO,roughnessmap_pars_fragment:FO,shadowmap_pars_fragment:GO,shadowmap_pars_vertex:WO,shadowmap_vertex:VO,shadowmask_pars_fragment:HO,skinbase_vertex:qO,skinning_pars_vertex:jO,skinning_vertex:XO,skinnormal_vertex:YO,specularmap_fragment:KO,specularmap_pars_fragment:ZO,tonemapping_fragment:QO,tonemapping_pars_fragment:JO,transmission_fragment:eD,transmission_pars_fragment:tD,uv_pars_fragment:nD,uv_pars_vertex:rD,uv_vertex:iD,worldpos_vertex:aD,background_vert:sD,background_frag:oD,backgroundCube_vert:lD,backgroundCube_frag:uD,cube_vert:cD,cube_frag:dD,depth_vert:hD,depth_frag:pD,distanceRGBA_vert:fD,distanceRGBA_frag:mD,equirect_vert:gD,equirect_frag:_D,linedashed_vert:yD,linedashed_frag:vD,meshbasic_vert:wD,meshbasic_frag:bD,meshlambert_vert:xD,meshlambert_frag:SD,meshmatcap_vert:ED,meshmatcap_frag:MD,meshnormal_vert:TD,meshnormal_frag:AD,meshphong_vert:CD,meshphong_frag:$D,meshphysical_vert:RD,meshphysical_frag:ID,meshtoon_vert:PD,meshtoon_frag:kD,points_vert:OD,points_frag:DD,shadow_vert:LD,shadow_frag:zD,sprite_vert:ND,sprite_frag:UD},Oe={common:{diffuse:{value:new qt(16777215)},opacity:{value:1},map:{value:null},mapTransform:{value:new Lt},alphaMap:{value:null},alphaMapTransform:{value:new Lt},alphaTest:{value:0}},specularmap:{specularMap:{value:null},specularMapTransform:{value:new Lt}},envmap:{envMap:{value:null},flipEnvMap:{value:-1},reflectivity:{value:1},ior:{value:1.5},refractionRatio:{value:.98}},aomap:{aoMap:{value:null},aoMapIntensity:{value:1},aoMapTransform:{value:new Lt}},lightmap:{lightMap:{value:null},lightMapIntensity:{value:1},lightMapTransform:{value:new Lt}},bumpmap:{bumpMap:{value:null},bumpMapTransform:{value:new Lt},bumpScale:{value:1}},normalmap:{normalMap:{value:null},normalMapTransform:{value:new Lt},normalScale:{value:new kt(1,1)}},displacementmap:{displacementMap:{value:null},displacementMapTransform:{value:new Lt},displacementScale:{value:1},displacementBias:{value:0}},emissivemap:{emissiveMap:{value:null},emissiveMapTransform:{value:new Lt}},metalnessmap:{metalnessMap:{value:null},metalnessMapTransform:{value:new Lt}},roughnessmap:{roughnessMap:{value:null},roughnessMapTransform:{value:new Lt}},gradientmap:{gradientMap:{value:null}},fog:{fogDensity:{value:25e-5},fogNear:{value:1},fogFar:{value:2e3},fogColor:{value:new qt(16777215)}},lights:{ambientLightColor:{value:[]},lightProbe:{value:[]},directionalLights:{value:[],properties:{direction:{},color:{}}},directionalLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},directionalShadowMap:{value:[]},directionalShadowMatrix:{value:[]},spotLights:{value:[],properties:{color:{},position:{},direction:{},distance:{},coneCos:{},penumbraCos:{},decay:{}}},spotLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},spotLightMap:{value:[]},spotShadowMap:{value:[]},spotLightMatrix:{value:[]},pointLights:{value:[],properties:{color:{},position:{},decay:{},distance:{}}},pointLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{},shadowCameraNear:{},shadowCameraFar:{}}},pointShadowMap:{value:[]},pointShadowMatrix:{value:[]},hemisphereLights:{value:[],properties:{direction:{},skyColor:{},groundColor:{}}},rectAreaLights:{value:[],properties:{color:{},position:{},width:{},height:{}}},ltc_1:{value:null},ltc_2:{value:null}},points:{diffuse:{value:new qt(16777215)},opacity:{value:1},size:{value:1},scale:{value:1},map:{value:null},alphaMap:{value:null},alphaMapTransform:{value:new Lt},alphaTest:{value:0},uvTransform:{value:new Lt}},sprite:{diffuse:{value:new qt(16777215)},opacity:{value:1},center:{value:new kt(.5,.5)},rotation:{value:0},map:{value:null},mapTransform:{value:new Lt},alphaMap:{value:null},alphaMapTransform:{value:new Lt},alphaTest:{value:0}}},Hr={basic:{uniforms:Vn([Oe.common,Oe.specularmap,Oe.envmap,Oe.aomap,Oe.lightmap,Oe.fog]),vertexShader:Pt.meshbasic_vert,fragmentShader:Pt.meshbasic_frag},lambert:{uniforms:Vn([Oe.common,Oe.specularmap,Oe.envmap,Oe.aomap,Oe.lightmap,Oe.emissivemap,Oe.bumpmap,Oe.normalmap,Oe.displacementmap,Oe.fog,Oe.lights,{emissive:{value:new qt(0)}}]),vertexShader:Pt.meshlambert_vert,fragmentShader:Pt.meshlambert_frag},phong:{uniforms:Vn([Oe.common,Oe.specularmap,Oe.envmap,Oe.aomap,Oe.lightmap,Oe.emissivemap,Oe.bumpmap,Oe.normalmap,Oe.displacementmap,Oe.fog,Oe.lights,{emissive:{value:new qt(0)},specular:{value:new qt(1118481)},shininess:{value:30}}]),vertexShader:Pt.meshphong_vert,fragmentShader:Pt.meshphong_frag},standard:{uniforms:Vn([Oe.common,Oe.envmap,Oe.aomap,Oe.lightmap,Oe.emissivemap,Oe.bumpmap,Oe.normalmap,Oe.displacementmap,Oe.roughnessmap,Oe.metalnessmap,Oe.fog,Oe.lights,{emissive:{value:new qt(0)},roughness:{value:1},metalness:{value:0},envMapIntensity:{value:1}}]),vertexShader:Pt.meshphysical_vert,fragmentShader:Pt.meshphysical_frag},toon:{uniforms:Vn([Oe.common,Oe.aomap,Oe.lightmap,Oe.emissivemap,Oe.bumpmap,Oe.normalmap,Oe.displacementmap,Oe.gradientmap,Oe.fog,Oe.lights,{emissive:{value:new qt(0)}}]),vertexShader:Pt.meshtoon_vert,fragmentShader:Pt.meshtoon_frag},matcap:{uniforms:Vn([Oe.common,Oe.bumpmap,Oe.normalmap,Oe.displacementmap,Oe.fog,{matcap:{value:null}}]),vertexShader:Pt.meshmatcap_vert,fragmentShader:Pt.meshmatcap_frag},points:{uniforms:Vn([Oe.points,Oe.fog]),vertexShader:Pt.points_vert,fragmentShader:Pt.points_frag},dashed:{uniforms:Vn([Oe.common,Oe.fog,{scale:{value:1},dashSize:{value:1},totalSize:{value:2}}]),vertexShader:Pt.linedashed_vert,fragmentShader:Pt.linedashed_frag},depth:{uniforms:Vn([Oe.common,Oe.displacementmap]),vertexShader:Pt.depth_vert,fragmentShader:Pt.depth_frag},normal:{uniforms:Vn([Oe.common,Oe.bumpmap,Oe.normalmap,Oe.displacementmap,{opacity:{value:1}}]),vertexShader:Pt.meshnormal_vert,fragmentShader:Pt.meshnormal_frag},sprite:{uniforms:Vn([Oe.sprite,Oe.fog]),vertexShader:Pt.sprite_vert,fragmentShader:Pt.sprite_frag},background:{uniforms:{uvTransform:{value:new Lt},t2D:{value:null},backgroundIntensity:{value:1}},vertexShader:Pt.background_vert,fragmentShader:Pt.background_frag},backgroundCube:{uniforms:{envMap:{value:null},flipEnvMap:{value:-1},backgroundBlurriness:{value:0},backgroundIntensity:{value:1}},vertexShader:Pt.backgroundCube_vert,fragmentShader:Pt.backgroundCube_frag},cube:{uniforms:{tCube:{value:null},tFlip:{value:-1},opacity:{value:1}},vertexShader:Pt.cube_vert,fragmentShader:Pt.cube_frag},equirect:{uniforms:{tEquirect:{value:null}},vertexShader:Pt.equirect_vert,fragmentShader:Pt.equirect_frag},distanceRGBA:{uniforms:Vn([Oe.common,Oe.displacementmap,{referencePosition:{value:new re},nearDistance:{value:1},farDistance:{value:1e3}}]),vertexShader:Pt.distanceRGBA_vert,fragmentShader:Pt.distanceRGBA_frag},shadow:{uniforms:Vn([Oe.lights,Oe.fog,{color:{value:new qt(0)},opacity:{value:1}}]),vertexShader:Pt.shadow_vert,fragmentShader:Pt.shadow_frag}};Hr.physical={uniforms:Vn([Hr.standard.uniforms,{clearcoat:{value:0},clearcoatMap:{value:null},clearcoatMapTransform:{value:new Lt},clearcoatNormalMap:{value:null},clearcoatNormalMapTransform:{value:new Lt},clearcoatNormalScale:{value:new kt(1,1)},clearcoatRoughness:{value:0},clearcoatRoughnessMap:{value:null},clearcoatRoughnessMapTransform:{value:new Lt},iridescence:{value:0},iridescenceMap:{value:null},iridescenceMapTransform:{value:new Lt},iridescenceIOR:{value:1.3},iridescenceThicknessMinimum:{value:100},iridescenceThicknessMaximum:{value:400},iridescenceThicknessMap:{value:null},iridescenceThicknessMapTransform:{value:new Lt},sheen:{value:0},sheenColor:{value:new qt(0)},sheenColorMap:{value:null},sheenColorMapTransform:{value:new Lt},sheenRoughness:{value:1},sheenRoughnessMap:{value:null},sheenRoughnessMapTransform:{value:new 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ie(){l.geometry=null,l.program=null,l.wireframe=!1}return{setup:h,reset:Q,resetDefaultState:ie,dispose:R,releaseStatesOfGeometry:k,releaseStatesOfProgram:j,initAttributes:b,enableAttribute:E,disableUnusedAttributes:I}}function GD(n,e,t,r){const i=r.isWebGL2;let a;function s(c){a=c}function o(c,h){n.drawArrays(a,c,h),t.update(h,a,1)}function l(c,h,p){if(p===0)return;let d,m;if(i)d=n,m="drawArraysInstanced";else if(d=e.get("ANGLE_instanced_arrays"),m="drawArraysInstancedANGLE",d===null){console.error("THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.");return}d[m](a,c,h,p),t.update(h,a,p)}function u(c,h,p){if(p===0)return;const d=e.get("WEBGL_multi_draw");if(d===null)for(let m=0;m<p;m++)this.render(c[m],h[m]);else{d.multiDrawArraysWEBGL(a,c,0,h,0,p);let m=0;for(let y=0;y<p;y++)m+=h[y];t.update(m,a,1)}}this.setMode=s,this.render=o,this.renderInstances=l,this.renderMultiDraw=u}function WD(n,e,t){let r;function i(){if(r!==void 0)return r;if(e.has("EXT_texture_filter_anisotropic")===!0){const C=e.get("EXT_texture_filter_anisotropic");r=n.getParameter(C.MAX_TEXTURE_MAX_ANISOTROPY_EXT)}else r=0;return r}function a(C){if(C==="highp"){if(n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.HIGH_FLOAT).precision>0&&n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.HIGH_FLOAT).precision>0)return"highp";C="mediump"}return C==="mediump"&&n.getShaderPrecisionFormat(n.VERTEX_SHADER,n.MEDIUM_FLOAT).precision>0&&n.getShaderPrecisionFormat(n.FRAGMENT_SHADER,n.MEDIUM_FLOAT).precision>0?"mediump":"lowp"}const s=typeof WebGL2RenderingContext<"u"&&n.constructor.name==="WebGL2RenderingContext";let o=t.precision!==void 0?t.precision:"highp";const l=a(o);l!==o&&(console.warn("THREE.WebGLRenderer:",o,"not supported, using",l,"instead."),o=l);const u=s||e.has("WEBGL_draw_buffers"),c=t.logarithmicDepthBuffer===!0,h=n.getParameter(n.MAX_TEXTURE_IMAGE_UNITS),p=n.getParameter(n.MAX_VERTEX_TEXTURE_IMAGE_UNITS),d=n.getParameter(n.MAX_TEXTURE_SIZE),m=n.getParameter(n.MAX_CUBE_MAP_TEXTURE_SIZE),y=n.getParameter(n.MAX_VERTEX_ATTRIBS),g=n.getParameter(n.MAX_VERTEX_UNIFORM_VECTORS),_=n.getParameter(n.MAX_VARYING_VECTORS),w=n.getParameter(n.MAX_FRAGMENT_UNIFORM_VECTORS),b=p>0,E=s||e.has("OES_texture_float"),T=b&&E,I=s?n.getParameter(n.MAX_SAMPLES):0;return{isWebGL2:s,drawBuffers:u,getMaxAnisotropy:i,getMaxPrecision:a,precision:o,logarithmicDepthBuffer:c,maxTextures:h,maxVertexTextures:p,maxTextureSize:d,maxCubemapSize:m,maxAttributes:y,maxVertexUniforms:g,maxVaryings:_,maxFragmentUniforms:w,vertexTextures:b,floatFragmentTextures:E,floatVertexTextures:T,maxSamples:I}}function VD(n){const e=this;let t=null,r=0,i=!1,a=!1;const s=new Ri,o=new Lt,l={value:null,needsUpdate:!1};this.uniform=l,this.numPlanes=0,this.numIntersection=0,this.init=function(h,p){const d=h.length!==0||p||r!==0||i;return i=p,r=h.length,d},this.beginShadows=function(){a=!0,c(null)},this.endShadows=function(){a=!1},this.setGlobalState=function(h,p){t=c(h,p,0)},this.setState=function(h,p,d){const m=h.clippingPlanes,y=h.clipIntersection,g=h.clipShadows,_=n.get(h);if(!i||m===null||m.length===0||a&&!g)a?c(null):u();else{const w=a?0:r,b=w*4;let E=_.clippingState||null;l.value=E,E=c(m,p,b,d);for(let T=0;T!==b;++T)E[T]=t[T];_.clippingState=E,this.numIntersection=y?this.numPlanes:0,this.numPlanes+=w}};function u(){l.value!==t&&(l.value=t,l.needsUpdate=r>0),e.numPlanes=r,e.numIntersection=0}function c(h,p,d,m){const y=h!==null?h.length:0;let g=null;if(y!==0){if(g=l.value,m!==!0||g===null){const _=d+y*4,w=p.matrixWorldInverse;o.getNormalMatrix(w),(g===null||g.length<_)&&(g=new Float32Array(_));for(let b=0,E=d;b!==y;++b,E+=4)s.copy(h[b]).applyMatrix4(w,o),s.normal.toArray(g,E),g[E+3]=s.constant}l.value=g,l.needsUpdate=!0}return e.numPlanes=y,e.numIntersection=0,g}}function HD(n){let e=new WeakMap;function t(s,o){return o===rd?s.mapping=cs:o===id&&(s.mapping=ds),s}function r(s){if(s&&s.isTexture){const o=s.mapping;if(o===rd||o===id)if(e.has(s)){const l=e.get(s).texture;return t(l,s.mapping)}else{const l=s.image;if(l&&l.height>0){const u=new rk(l.height/2);return u.fromEquirectangularTexture(n,s),e.set(s,u),s.addEventListener("dispose",i),t(u.texture,s.mapping)}else return null}}return s}function i(s){const o=s.target;o.removeEventListener("dispose",i);const l=e.get(o);l!==void 0&&(e.delete(o),l.dispose())}function a(){e=new WeakMap}return{get:r,dispose:a}}class qD extends Bx{constructor(e=-1,t=1,r=1,i=-1,a=.1,s=2e3){super(),this.isOrthographicCamera=!0,this.type="OrthographicCamera",this.zoom=1,this.view=null,this.left=e,this.right=t,this.top=r,this.bottom=i,this.near=a,this.far=s,this.updateProjectionMatrix()}copy(e,t){return super.copy(e,t),this.left=e.left,this.right=e.right,this.top=e.top,this.bottom=e.bottom,this.near=e.near,this.far=e.far,this.zoom=e.zoom,this.view=e.view===null?null:Object.assign({},e.view),this}setViewOffset(e,t,r,i,a,s){this.view===null&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=e,this.view.fullHeight=t,this.view.offsetX=r,this.view.offsetY=i,this.view.width=a,this.view.height=s,this.updateProjectionMatrix()}clearViewOffset(){this.view!==null&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const e=(this.right-this.left)/(2*this.zoom),t=(this.top-this.bottom)/(2*this.zoom),r=(this.right+this.left)/2,i=(this.top+this.bottom)/2;let a=r-e,s=r+e,o=i+t,l=i-t;if(this.view!==null&&this.view.enabled){const u=(this.right-this.left)/this.view.fullWidth/this.zoom,c=(this.top-this.bottom)/this.view.fullHeight/this.zoom;a+=u*this.view.offsetX,s=a+u*this.view.width,o-=c*this.view.offsetY,l=o-c*this.view.height}this.projectionMatrix.makeOrthographic(a,s,o,l,this.near,this.far,this.coordinateSystem),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(e){const t=super.toJSON(e);return t.object.zoom=this.zoom,t.object.left=this.left,t.object.right=this.right,t.object.top=this.top,t.object.bottom=this.bottom,t.object.near=this.near,t.object.far=this.far,this.view!==null&&(t.object.view=Object.assign({},this.view)),t}}const ns=4,c_=[.125,.215,.35,.446,.526,.582],ia=20,Ic=new qD,d_=new qt;let Pc=null,kc=0,Oc=0;const Ji=(1+Math.sqrt(5))/2,Ka=1/Ji,h_=[new re(1,1,1),new re(-1,1,1),new re(1,1,-1),new re(-1,1,-1),new re(0,Ji,Ka),new re(0,Ji,-Ka),new re(Ka,0,Ji),new re(-Ka,0,Ji),new re(Ji,Ka,0),new re(-Ji,Ka,0)];class p_{constructor(e){this._renderer=e,this._pingPongRenderTarget=null,this._lodMax=0,this._cubeSize=0,this._lodPlanes=[],this._sizeLods=[],this._sigmas=[],this._blurMaterial=null,this._cubemapMaterial=null,this._equirectMaterial=null,this._compileMaterial(this._blurMaterial)}fromScene(e,t=0,r=.1,i=100){Pc=this._renderer.getRenderTarget(),kc=this._renderer.getActiveCubeFace(),Oc=this._renderer.getActiveMipmapLevel(),this._setSize(256);const a=this._allocateTargets();return a.depthBuffer=!0,this._sceneToCubeUV(e,r,i,a),t>0&&this._blur(a,0,0,t),this._applyPMREM(a),this._cleanup(a),a}fromEquirectangular(e,t=null){return this._fromTexture(e,t)}fromCubemap(e,t=null){return this._fromTexture(e,t)}compileCubemapShader(){this._cubemapMaterial===null&&(this._cubemapMaterial=g_(),this._compileMaterial(this._cubemapMaterial))}compileEquirectangularShader(){this._equirectMaterial===null&&(this._equirectMaterial=m_(),this._compileMaterial(this._equirectMaterial))}dispose(){this._dispose(),this._cubemapMaterial!==null&&this._cubemapMaterial.dispose(),this._equirectMaterial!==null&&this._equirectMaterial.dispose()}_setSize(e){this._lodMax=Math.floor(Math.log2(e)),this._cubeSize=Math.pow(2,this._lodMax)}_dispose(){this._blurMaterial!==null&&this._blurMaterial.dispose(),this._pingPongRenderTarget!==null&&this._pingPongRenderTarget.dispose();for(let e=0;e<this._lodPlanes.length;e++)this._lodPlanes[e].dispose()}_cleanup(e){this._renderer.setRenderTarget(Pc,kc,Oc),e.scissorTest=!1,gl(e,0,0,e.width,e.height)}_fromTexture(e,t){e.mapping===cs||e.mapping===ds?this._setSize(e.image.length===0?16:e.image[0].width||e.image[0].image.width):this._setSize(e.image.width/4),Pc=this._renderer.getRenderTarget(),kc=this._renderer.getActiveCubeFace(),Oc=this._renderer.getActiveMipmapLevel();const r=t||this._allocateTargets();return this._textureToCubeUV(e,r),this._applyPMREM(r),this._cleanup(r),r}_allocateTargets(){const e=3*Math.max(this._cubeSize,112),t=4*this._cubeSize,r={magFilter:mr,minFilter:mr,generateMipmaps:!1,type:no,format:zr,colorSpace:fi,depthBuffer:!1},i=f_(e,t,r);if(this._pingPongRenderTarget===null||this._pingPongRenderTarget.width!==e||this._pingPongRenderTarget.height!==t){this._pingPongRenderTarget!==null&&this._dispose(),this._pingPongRenderTarget=f_(e,t,r);const{_lodMax:a}=this;({sizeLods:this._sizeLods,lodPlanes:this._lodPlanes,sigmas:this._sigmas}=jD(a)),this._blurMaterial=XD(a,e,t)}return i}_compileMaterial(e){const t=new hi(this._lodPlanes[0],e);this._renderer.compile(t,Ic)}_sceneToCubeUV(e,t,r,i){const o=new gr(90,1,t,r),l=[1,-1,1,1,1,1],u=[1,1,1,-1,-1,-1],c=this._renderer,h=c.autoClear,p=c.toneMapping;c.getClearColor(d_),c.toneMapping=Di,c.autoClear=!1;const d=new Lx({name:"PMREM.Background",side:rr,depthWrite:!1,depthTest:!1}),m=new hi(new Ao,d);let y=!1;const g=e.background;g?g.isColor&&(d.color.copy(g),e.background=null,y=!0):(d.color.copy(d_),y=!0);for(let _=0;_<6;_++){const w=_%3;w===0?(o.up.set(0,l[_],0),o.lookAt(u[_],0,0)):w===1?(o.up.set(0,0,l[_]),o.lookAt(0,u[_],0)):(o.up.set(0,l[_],0),o.lookAt(0,0,u[_]));const b=this._cubeSize;gl(i,w*b,_>2?b:0,b,b),c.setRenderTarget(i),y&&c.render(m,o),c.render(e,o)}m.geometry.dispose(),m.material.dispose(),c.toneMapping=p,c.autoClear=h,e.background=g}_textureToCubeUV(e,t){const r=this._renderer,i=e.mapping===cs||e.mapping===ds;i?(this._cubemapMaterial===null&&(this._cubemapMaterial=g_()),this._cubemapMaterial.uniforms.flipEnvMap.value=e.isRenderTargetTexture===!1?-1:1):this._equirectMaterial===null&&(this._equirectMaterial=m_());const a=i?this._cubemapMaterial:this._equirectMaterial,s=new hi(this._lodPlanes[0],a),o=a.uniforms;o.envMap.value=e;const l=this._cubeSize;gl(t,0,0,3*l,2*l),r.setRenderTarget(t),r.render(s,Ic)}_applyPMREM(e){const t=this._renderer,r=t.autoClear;t.autoClear=!1;for(let i=1;i<this._lodPlanes.length;i++){const a=Math.sqrt(this._sigmas[i]*this._sigmas[i]-this._sigmas[i-1]*this._sigmas[i-1]),s=h_[(i-1)%h_.length];this._blur(e,i-1,i,a,s)}t.autoClear=r}_blur(e,t,r,i,a){const s=this._pingPongRenderTarget;this._halfBlur(e,s,t,r,i,"latitudinal",a),this._halfBlur(s,e,r,r,i,"longitudinal",a)}_halfBlur(e,t,r,i,a,s,o){const l=this._renderer,u=this._blurMaterial;s!=="latitudinal"&&s!=="longitudinal"&&console.error("blur direction must be either latitudinal or longitudinal!");const c=3,h=new hi(this._lodPlanes[i],u),p=u.uniforms,d=this._sizeLods[r]-1,m=isFinite(a)?Math.PI/(2*d):2*Math.PI/(2*ia-1),y=a/m,g=isFinite(a)?1+Math.floor(c*y):ia;g>ia&&console.warn(`sigmaRadians, ${a}, is too large and will clip, as it requested ${g} samples when the maximum is set to ${ia}`);const _=[];let w=0;for(let C=0;C<ia;++C){const B=C/y,R=Math.exp(-B*B/2);_.push(R),C===0?w+=R:C<g&&(w+=2*R)}for(let C=0;C<_.length;C++)_[C]=_[C]/w;p.envMap.value=e.texture,p.samples.value=g,p.weights.value=_,p.latitudinal.value=s==="latitudinal",o&&(p.poleAxis.value=o);const{_lodMax:b}=this;p.dTheta.value=m,p.mipInt.value=b-r;const E=this._sizeLods[i],T=3*E*(i>b-ns?i-b+ns:0),I=4*(this._cubeSize-E);gl(t,T,I,3*E,2*E),l.setRenderTarget(t),l.render(h,Ic)}}function jD(n){const e=[],t=[],r=[];let i=n;const a=n-ns+1+c_.length;for(let s=0;s<a;s++){const o=Math.pow(2,i);t.push(o);let l=1/o;s>n-ns?l=c_[s-n+ns-1]:s===0&&(l=0),r.push(l);const u=1/(o-2),c=-u,h=1+u,p=[c,c,h,c,h,h,c,c,h,h,c,h],d=6,m=6,y=3,g=2,_=1,w=new Float32Array(y*m*d),b=new Float32Array(g*m*d),E=new Float32Array(_*m*d);for(let I=0;I<d;I++){const C=I%3*2/3-1,B=I>2?0:-1,R=[C,B,0,C+2/3,B,0,C+2/3,B+1,0,C,B,0,C+2/3,B+1,0,C,B+1,0];w.set(R,y*m*I),b.set(p,g*m*I);const k=[I,I,I,I,I,I];E.set(k,_*m*I)}const T=new Ma;T.setAttribute("position",new Yr(w,y)),T.setAttribute("uv",new Yr(b,g)),T.setAttribute("faceIndex",new Yr(E,_)),e.push(T),i>ns&&i--}return{lodPlanes:e,sizeLods:t,sigmas:r}}function f_(n,e,t){const r=new _a(n,e,t);return r.texture.mapping=hu,r.texture.name="PMREM.cubeUv",r.scissorTest=!0,r}function gl(n,e,t,r,i){n.viewport.set(e,t,r,i),n.scissor.set(e,t,r,i)}function XD(n,e,t){const r=new Float32Array(ia),i=new re(0,1,0);return new va({name:"SphericalGaussianBlur",defines:{n:ia,CUBEUV_TEXEL_WIDTH:1/e,CUBEUV_TEXEL_HEIGHT:1/t,CUBEUV_MAX_MIP:`${n}.0`},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:r},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:i}},vertexShader:sh(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;
			uniform int samples;
			uniform float weights[ n ];
			uniform bool latitudinal;
			uniform float dTheta;
			uniform float mipInt;
			uniform vec3 poleAxis;

			#define ENVMAP_TYPE_CUBE_UV
			#include <cube_uv_reflection_fragment>

			vec3 getSample( float theta, vec3 axis ) {

				float cosTheta = cos( theta );
				// Rodrigues' axis-angle rotation
				vec3 sampleDirection = vOutputDirection * cosTheta
					+ cross( axis, vOutputDirection ) * sin( theta )
					+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );

				return bilinearCubeUV( envMap, sampleDirection, mipInt );

			}

			void main() {

				vec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );

				if ( all( equal( axis, vec3( 0.0 ) ) ) ) {

					axis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );

				}

				axis = normalize( axis );

				gl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );
				gl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );

				for ( int i = 1; i < n; i++ ) {

					if ( i >= samples ) {

						break;

					}

					float theta = dTheta * float( i );
					gl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );
					gl_FragColor.rgb += weights[ i ] * getSample( theta, axis );

				}

			}
		`,blending:Oi,depthTest:!1,depthWrite:!1})}function m_(){return new va({name:"EquirectangularToCubeUV",uniforms:{envMap:{value:null}},vertexShader:sh(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			varying vec3 vOutputDirection;

			uniform sampler2D envMap;

			#include <common>

			void main() {

				vec3 outputDirection = normalize( vOutputDirection );
				vec2 uv = equirectUv( outputDirection );

				gl_FragColor = vec4( texture2D ( envMap, uv ).rgb, 1.0 );

			}
		`,blending:Oi,depthTest:!1,depthWrite:!1})}function g_(){return new va({name:"CubemapToCubeUV",uniforms:{envMap:{value:null},flipEnvMap:{value:-1}},vertexShader:sh(),fragmentShader:`

			precision mediump float;
			precision mediump int;

			uniform float flipEnvMap;

			varying vec3 vOutputDirection;

			uniform samplerCube envMap;

			void main() {

				gl_FragColor = textureCube( envMap, vec3( flipEnvMap * vOutputDirection.x, vOutputDirection.yz ) );

			}
		`,blending:Oi,depthTest:!1,depthWrite:!1})}function sh(){return`

		precision mediump float;
		precision mediump int;

		attribute float faceIndex;

		varying vec3 vOutputDirection;

		// RH coordinate system; PMREM face-indexing convention
		vec3 getDirection( vec2 uv, float face ) {

			uv = 2.0 * uv - 1.0;

			vec3 direction = vec3( uv, 1.0 );

			if ( face == 0.0 ) {

				direction = direction.zyx; // ( 1, v, u ) pos x

			} else if ( face == 1.0 ) {

				direction = direction.xzy;
				direction.xz *= -1.0; // ( -u, 1, -v ) pos y

			} else if ( face == 2.0 ) {

				direction.x *= -1.0; // ( -u, v, 1 ) pos z

			} else if ( face == 3.0 ) {

				direction = direction.zyx;
				direction.xz *= -1.0; // ( -1, v, -u ) neg x

			} else if ( face == 4.0 ) {

				direction = direction.xzy;
				direction.xy *= -1.0; // ( -u, -1, v ) neg y

			} else if ( face == 5.0 ) {

				direction.z *= -1.0; // ( u, v, -1 ) neg z

			}

			return direction;

		}

		void main() {

			vOutputDirection = getDirection( uv, faceIndex );
			gl_Position = vec4( position, 1.0 );

		}
	`}function YD(n){let e=new WeakMap,t=null;function r(o){if(o&&o.isTexture){const l=o.mapping,u=l===rd||l===id,c=l===cs||l===ds;if(u||c)if(o.isRenderTargetTexture&&o.needsPMREMUpdate===!0){o.needsPMREMUpdate=!1;let h=e.get(o);return t===null&&(t=new p_(n)),h=u?t.fromEquirectangular(o,h):t.fromCubemap(o,h),e.set(o,h),h.texture}else{if(e.has(o))return e.get(o).texture;{const h=o.image;if(u&&h&&h.height>0||c&&h&&i(h)){t===null&&(t=new p_(n));const p=u?t.fromEquirectangular(o):t.fromCubemap(o);return e.set(o,p),o.addEventListener("dispose",a),p.texture}else return null}}}return o}function i(o){let l=0;const u=6;for(let c=0;c<u;c++)o[c]!==void 0&&l++;return l===u}function a(o){const l=o.target;l.removeEventListener("dispose",a);const u=e.get(l);u!==void 0&&(e.delete(l),u.dispose())}function s(){e=new WeakMap,t!==null&&(t.dispose(),t=null)}return{get:r,dispose:s}}function KD(n){const e={};function t(r){if(e[r]!==void 0)return e[r];let i;switch(r){case"WEBGL_depth_texture":i=n.getExtension("WEBGL_depth_texture")||n.getExtension("MOZ_WEBGL_depth_texture")||n.getExtension("WEBKIT_WEBGL_depth_texture");break;case"EXT_texture_filter_anisotropic":i=n.getExtension("EXT_texture_filter_anisotropic")||n.getExtension("MOZ_EXT_texture_filter_anisotropic")||n.getExtension("WEBKIT_EXT_texture_filter_anisotropic");break;case"WEBGL_compressed_texture_s3tc":i=n.getExtension("WEBGL_compressed_texture_s3tc")||n.getExtension("MOZ_WEBGL_compressed_texture_s3tc")||n.getExtension("WEBKIT_WEBGL_compressed_texture_s3tc");break;case"WEBGL_compressed_texture_pvrtc":i=n.getExtension("WEBGL_compressed_texture_pvrtc")||n.getExtension("WEBKIT_WEBGL_compressed_texture_pvrtc");break;default:i=n.getExtension(r)}return e[r]=i,i}return{has:function(r){return 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r=this.cache,i=t.allocateTextureUnit();r[0]!==i&&(n.uniform1i(this.addr,i),r[0]=i),t.setTextureCube(e||Yx,i)}function xL(n,e,t){const r=this.cache,i=t.allocateTextureUnit();r[0]!==i&&(n.uniform1i(this.addr,i),r[0]=i),t.setTexture2DArray(e||jx,i)}function SL(n){switch(n){case 5126:return iL;case 35664:return aL;case 35665:return sL;case 35666:return oL;case 35674:return lL;case 35675:return uL;case 35676:return cL;case 5124:case 35670:return dL;case 35667:case 35671:return hL;case 35668:case 35672:return pL;case 35669:case 35673:return fL;case 5125:return mL;case 36294:return gL;case 36295:return _L;case 36296:return yL;case 35678:case 36198:case 36298:case 36306:case 35682:return vL;case 35679:case 36299:case 36307:return wL;case 35680:case 36300:case 36308:case 36293:return bL;case 36289:case 36303:case 36311:case 36292:return xL}}function EL(n,e){n.uniform1fv(this.addr,e)}function ML(n,e){const t=bs(e,this.size,2);n.uniform2fv(this.addr,t)}function TL(n,e){const t=bs(e,this.size,3);n.uniform3fv(this.addr,t)}function AL(n,e){const t=bs(e,this.size,4);n.uniform4fv(this.addr,t)}function CL(n,e){const t=bs(e,this.size,4);n.uniformMatrix2fv(this.addr,!1,t)}function $L(n,e){const t=bs(e,this.size,9);n.uniformMatrix3fv(this.addr,!1,t)}function RL(n,e){const t=bs(e,this.size,16);n.uniformMatrix4fv(this.addr,!1,t)}function IL(n,e){n.uniform1iv(this.addr,e)}function PL(n,e){n.uniform2iv(this.addr,e)}function kL(n,e){n.uniform3iv(this.addr,e)}function OL(n,e){n.uniform4iv(this.addr,e)}function DL(n,e){n.uniform1uiv(this.addr,e)}function LL(n,e){n.uniform2uiv(this.addr,e)}function zL(n,e){n.uniform3uiv(this.addr,e)}function NL(n,e){n.uniform4uiv(this.addr,e)}function UL(n,e,t){const r=this.cache,i=e.length,a=gu(t,i);wn(r,a)||(n.uniform1iv(this.addr,a),bn(r,a));for(let s=0;s!==i;++s)t.setTexture2D(e[s]||Hx,a[s])}function BL(n,e,t){const r=this.cache,i=e.length,a=gu(t,i);wn(r,a)||(n.uniform1iv(this.addr,a),bn(r,a));for(let 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E(R){const k=m[R.type];let j;if(k){const Q=Hr[k];j=JP.clone(Q.uniforms)}else j=R.uniforms;return j}function T(R,k){let j;for(let Q=0,ie=u.length;Q<ie;Q++){const F=u[Q];if(F.cacheKey===k){j=F,++j.usedTimes;break}}return j===void 0&&(j=new fz(n,k,R,a),u.push(j)),j}function I(R){if(--R.usedTimes===0){const k=u.indexOf(R);u[k]=u[u.length-1],u.pop(),R.destroy()}}function C(R){l.remove(R)}function B(){l.dispose()}return{getParameters:g,getProgramCacheKey:_,getUniforms:E,acquireProgram:T,releaseProgram:I,releaseShaderCache:C,programs:u,dispose:B}}function vz(){let n=new WeakMap;function e(a){let s=n.get(a);return s===void 0&&(s={},n.set(a,s)),s}function t(a){n.delete(a)}function r(a,s,o){n.get(a)[s]=o}function i(){n=new WeakMap}return{get:e,remove:t,update:r,dispose:i}}function wz(n,e){return 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xz,r=Sz(),i={version:0,hash:{directionalLength:-1,pointLength:-1,spotLength:-1,rectAreaLength:-1,hemiLength:-1,numDirectionalShadows:-1,numPointShadows:-1,numSpotShadows:-1,numSpotMaps:-1,numLightProbes:-1},ambient:[0,0,0],probe:[],directional:[],directionalShadow:[],directionalShadowMap:[],directionalShadowMatrix:[],spot:[],spotLightMap:[],spotShadow:[],spotShadowMap:[],spotLightMatrix:[],rectArea:[],rectAreaLTC1:null,rectAreaLTC2:null,point:[],pointShadow:[],pointShadowMap:[],pointShadowMatrix:[],hemi:[],numSpotLightShadowsWithMaps:0,numLightProbes:0};for(let c=0;c<9;c++)i.probe.push(new re);const a=new re,s=new In,o=new In;function l(c,h){let p=0,d=0,m=0;for(let Q=0;Q<9;Q++)i.probe[Q].set(0,0,0);let y=0,g=0,_=0,w=0,b=0,E=0,T=0,I=0,C=0,B=0,R=0;c.sort(Mz);const k=h===!0?Math.PI:1;for(let Q=0,ie=c.length;Q<ie;Q++){const F=c[Q],$=F.color,L=F.intensity,H=F.distance,K=F.shadow&&F.shadow.map?F.shadow.map.texture:null;if(F.isAmbientLight)p+=$.r*L*k,d+=$.g*L*k,m+=$.b*L*k;else 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W=r.get(F);W.shadowBias=J.bias,W.shadowNormalBias=J.normalBias,W.shadowRadius=J.radius,W.shadowMapSize=J.mapSize,i.spotShadow[_]=W,i.spotShadowMap[_]=K,I++}_++}else if(F.isRectAreaLight){const X=t.get(F);X.color.copy($).multiplyScalar(L),X.halfWidth.set(F.width*.5,0,0),X.halfHeight.set(0,F.height*.5,0),i.rectArea[w]=X,w++}else if(F.isPointLight){const X=t.get(F);if(X.color.copy(F.color).multiplyScalar(F.intensity*k),X.distance=F.distance,X.decay=F.decay,F.castShadow){const J=F.shadow,W=r.get(F);W.shadowBias=J.bias,W.shadowNormalBias=J.normalBias,W.shadowRadius=J.radius,W.shadowMapSize=J.mapSize,W.shadowCameraNear=J.camera.near,W.shadowCameraFar=J.camera.far,i.pointShadow[g]=W,i.pointShadowMap[g]=K,i.pointShadowMatrix[g]=F.shadow.matrix,T++}i.point[g]=X,g++}else if(F.isHemisphereLight){const X=t.get(F);X.skyColor.copy(F.color).multiplyScalar(L*k),X.groundColor.copy(F.groundColor).multiplyScalar(L*k),i.hemi[b]=X,b++}}w>0&&(e.isWebGL2?n.has("OES_texture_float_linear")===!0?(i.rectAreaLTC1=Oe.LTC_FLOAT_1,i.rectAreaLTC2=Oe.LTC_FLOAT_2):(i.rectAreaLTC1=Oe.LTC_HALF_1,i.rectAreaLTC2=Oe.LTC_HALF_2):n.has("OES_texture_float_linear")===!0?(i.rectAreaLTC1=Oe.LTC_FLOAT_1,i.rectAreaLTC2=Oe.LTC_FLOAT_2):n.has("OES_texture_half_float_linear")===!0?(i.rectAreaLTC1=Oe.LTC_HALF_1,i.rectAreaLTC2=Oe.LTC_HALF_2):console.error("THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.")),i.ambient[0]=p,i.ambient[1]=d,i.ambient[2]=m;const j=i.hash;(j.directionalLength!==y||j.pointLength!==g||j.spotLength!==_||j.rectAreaLength!==w||j.hemiLength!==b||j.numDirectionalShadows!==E||j.numPointShadows!==T||j.numSpotShadows!==I||j.numSpotMaps!==C||j.numLightProbes!==R)&&(i.directional.length=y,i.spot.length=_,i.rectArea.length=w,i.point.length=g,i.hemi.length=b,i.directionalShadow.length=E,i.directionalShadowMap.length=E,i.pointShadow.length=T,i.pointShadowMap.length=T,i.spotShadow.length=I,i.spotShadowMap.length=I,i.directionalShadowMatrix.length=E,i.pointShadowMatrix.length=T,i.spotLightMatrix.length=I+C-B,i.spotLightMap.length=C,i.numSpotLightShadowsWithMaps=B,i.numLightProbes=R,j.directionalLength=y,j.pointLength=g,j.spotLength=_,j.rectAreaLength=w,j.hemiLength=b,j.numDirectionalShadows=E,j.numPointShadows=T,j.numSpotShadows=I,j.numSpotMaps=C,j.numLightProbes=R,i.version=Ez++)}function u(c,h){let p=0,d=0,m=0,y=0,g=0;const _=h.matrixWorldInverse;for(let w=0,b=c.length;w<b;w++){const E=c[w];if(E.isDirectionalLight){const T=i.directional[p];T.direction.setFromMatrixPosition(E.matrixWorld),a.setFromMatrixPosition(E.target.matrixWorld),T.direction.sub(a),T.direction.transformDirection(_),p++}else if(E.isSpotLight){const T=i.spot[m];T.position.setFromMatrixPosition(E.matrixWorld),T.position.applyMatrix4(_),T.direction.setFromMatrixPosition(E.matrixWorld),a.setFromMatrixPosition(E.target.matrixWorld),T.direction.sub(a),T.direction.transformDirection(_),m++}else if(E.isRectAreaLight){const T=i.rectArea[y];T.position.setFromMatrixPosition(E.matrixWorld),T.position.applyMatrix4(_),o.identity(),s.copy(E.matrixWorld),s.premultiply(_),o.extractRotation(s),T.halfWidth.set(E.width*.5,0,0),T.halfHeight.set(0,E.height*.5,0),T.halfWidth.applyMatrix4(o),T.halfHeight.applyMatrix4(o),y++}else if(E.isPointLight){const T=i.point[d];T.position.setFromMatrixPosition(E.matrixWorld),T.position.applyMatrix4(_),d++}else if(E.isHemisphereLight){const T=i.hemi[g];T.direction.setFromMatrixPosition(E.matrixWorld),T.direction.transformDirection(_),g++}}}return{setup:l,setupView:u,state:i}}function I_(n,e){const t=new Tz(n,e),r=[],i=[];function a(){r.length=0,i.length=0}function s(h){r.push(h)}function o(h){i.push(h)}function l(h){t.setup(r,h)}function u(h){t.setupView(r,h)}return{init:a,state:{lightsArray:r,shadowsArray:i,lights:t},setupLights:l,setupLightsView:u,pushLight:s,pushShadow:o}}function Az(n,e){let t=new WeakMap;function r(a,s=0){const o=t.get(a);let l;return o===void 0?(l=new I_(n,e),t.set(a,[l])):s>=o.length?(l=new I_(n,e),o.push(l)):l=o[s],l}function i(){t=new WeakMap}return{get:r,dispose:i}}class Cz extends To{constructor(e){super(),this.isMeshDepthMaterial=!0,this.type="MeshDepthMaterial",this.depthPacking=cP,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.setValues(e)}copy(e){return super.copy(e),this.depthPacking=e.depthPacking,this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this.wireframe=e.wireframe,this.wireframeLinewidth=e.wireframeLinewidth,this}}class $z extends To{constructor(e){super(),this.isMeshDistanceMaterial=!0,this.type="MeshDistanceMaterial",this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.setValues(e)}copy(e){return super.copy(e),this.map=e.map,this.alphaMap=e.alphaMap,this.displacementMap=e.displacementMap,this.displacementScale=e.displacementScale,this.displacementBias=e.displacementBias,this}}const Rz=`void main() {
	gl_Position = vec4( position, 1.0 );
}`,Iz=`uniform sampler2D shadow_pass;
uniform vec2 resolution;
uniform float radius;
#include <packing>
void main() {
	const float samples = float( VSM_SAMPLES );
	float mean = 0.0;
	float squared_mean = 0.0;
	float uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );
	float uvStart = samples <= 1.0 ? 0.0 : - 1.0;
	for ( float i = 0.0; i < samples; i ++ ) {
		float uvOffset = uvStart + i * uvStride;
		#ifdef HORIZONTAL_PASS
			vec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );
			mean += distribution.x;
			squared_mean += distribution.y * distribution.y + distribution.x * distribution.x;
		#else
			float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );
			mean += depth;
			squared_mean += depth * depth;
		#endif
	}
	mean = mean / samples;
	squared_mean = squared_mean / samples;
	float std_dev = sqrt( squared_mean - mean * mean );
	gl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );
}`;function Pz(n,e,t){let r=new Gx;const i=new kt,a=new kt,s=new $n,o=new Cz({depthPacking:dP}),l=new $z,u={},c=t.maxTextureSize,h={[Ui]:rr,[rr]:Ui,[qr]:qr},p=new va({defines:{VSM_SAMPLES:8},uniforms:{shadow_pass:{value:null},resolution:{value:new kt},radius:{value:4}},vertexShader:Rz,fragmentShader:Iz}),d=p.clone();d.defines.HORIZONTAL_PASS=1;const m=new Ma;m.setAttribute("position",new Yr(new Float32Array([-1,-1,.5,3,-1,.5,-1,3,.5]),3));const y=new hi(m,p),g=this;this.enabled=!1,this.autoUpdate=!0,this.needsUpdate=!1,this.type=gx;let _=this.type;this.render=function(I,C,B){if(g.enabled===!1||g.autoUpdate===!1&&g.needsUpdate===!1||I.length===0)return;const R=n.getRenderTarget(),k=n.getActiveCubeFace(),j=n.getActiveMipmapLevel(),Q=n.state;Q.setBlending(Oi),Q.buffers.color.setClear(1,1,1,1),Q.buffers.depth.setTest(!0),Q.setScissorTest(!1);const ie=_!==li&&this.type===li,F=_===li&&this.type!==li;for(let $=0,L=I.length;$<L;$++){const H=I[$],K=H.shadow;if(K===void 0){console.warn("THREE.WebGLShadowMap:",H,"has no shadow.");continue}if(K.autoUpdate===!1&&K.needsUpdate===!1)continue;i.copy(K.mapSize);const X=K.getFrameExtents();if(i.multiply(X),a.copy(K.mapSize),(i.x>c||i.y>c)&&(i.x>c&&(a.x=Math.floor(c/X.x),i.x=a.x*X.x,K.mapSize.x=a.x),i.y>c&&(a.y=Math.floor(c/X.y),i.y=a.y*X.y,K.mapSize.y=a.y)),K.map===null||ie===!0||F===!0){const W=this.type!==li?{minFilter:qn,magFilter:qn}:{};K.map!==null&&K.map.dispose(),K.map=new _a(i.x,i.y,W),K.map.texture.name=H.name+".shadowMap",K.camera.updateProjectionMatrix()}n.setRenderTarget(K.map),n.clear();const J=K.getViewportCount();for(let W=0;W<J;W++){const ae=K.getViewport(W);s.set(a.x*ae.x,a.y*ae.y,a.x*ae.z,a.y*ae.w),Q.viewport(s),K.updateMatrices(H,W),r=K.getFrustum(),E(C,B,K.camera,H,this.type)}K.isPointLightShadow!==!0&&this.type===li&&w(K,B),K.needsUpdate=!1}_=this.type,g.needsUpdate=!1,n.setRenderTarget(R,k,j)};function w(I,C){const B=e.update(y);p.defines.VSM_SAMPLES!==I.blurSamples&&(p.defines.VSM_SAMPLES=I.blurSamples,d.defines.VSM_SAMPLES=I.blurSamples,p.needsUpdate=!0,d.needsUpdate=!0),I.mapPass===null&&(I.mapPass=new _a(i.x,i.y)),p.uniforms.shadow_pass.value=I.map.texture,p.uniforms.resolution.value=I.mapSize,p.uniforms.radius.value=I.radius,n.setRenderTarget(I.mapPass),n.clear(),n.renderBufferDirect(C,null,B,p,y,null),d.uniforms.shadow_pass.value=I.mapPass.texture,d.uniforms.resolution.value=I.mapSize,d.uniforms.radius.value=I.radius,n.setRenderTarget(I.map),n.clear(),n.renderBufferDirect(C,null,B,d,y,null)}function b(I,C,B,R){let k=null;const j=B.isPointLight===!0?I.customDistanceMaterial:I.customDepthMaterial;if(j!==void 0)k=j;else if(k=B.isPointLight===!0?l:o,n.localClippingEnabled&&C.clipShadows===!0&&Array.isArray(C.clippingPlanes)&&C.clippingPlanes.length!==0||C.displacementMap&&C.displacementScale!==0||C.alphaMap&&C.alphaTest>0||C.map&&C.alphaTest>0){const Q=k.uuid,ie=C.uuid;let F=u[Q];F===void 0&&(F={},u[Q]=F);let $=F[ie];$===void 0&&($=k.clone(),F[ie]=$,C.addEventListener("dispose",T)),k=$}if(k.visible=C.visible,k.wireframe=C.wireframe,R===li?k.side=C.shadowSide!==null?C.shadowSide:C.side:k.side=C.shadowSide!==null?C.shadowSide:h[C.side],k.alphaMap=C.alphaMap,k.alphaTest=C.alphaTest,k.map=C.map,k.clipShadows=C.clipShadows,k.clippingPlanes=C.clippingPlanes,k.clipIntersection=C.clipIntersection,k.displacementMap=C.displacementMap,k.displacementScale=C.displacementScale,k.displacementBias=C.displacementBias,k.wireframeLinewidth=C.wireframeLinewidth,k.linewidth=C.linewidth,B.isPointLight===!0&&k.isMeshDistanceMaterial===!0){const Q=n.properties.get(k);Q.light=B}return k}function E(I,C,B,R,k){if(I.visible===!1)return;if(I.layers.test(C.layers)&&(I.isMesh||I.isLine||I.isPoints)&&(I.castShadow||I.receiveShadow&&k===li)&&(!I.frustumCulled||r.intersectsObject(I))){I.modelViewMatrix.multiplyMatrices(B.matrixWorldInverse,I.matrixWorld);const ie=e.update(I),F=I.material;if(Array.isArray(F)){const $=ie.groups;for(let L=0,H=$.length;L<H;L++){const K=$[L],X=F[K.materialIndex];if(X&&X.visible){const J=b(I,X,R,k);I.onBeforeShadow(n,I,C,B,ie,J,K),n.renderBufferDirect(B,null,ie,J,I,K),I.onAfterShadow(n,I,C,B,ie,J,K)}}}else if(F.visible){const $=b(I,F,R,k);I.onBeforeShadow(n,I,C,B,ie,$,null),n.renderBufferDirect(B,null,ie,$,I,null),I.onAfterShadow(n,I,C,B,ie,$,null)}}const Q=I.children;for(let ie=0,F=Q.length;ie<F;ie++)E(Q[ie],C,B,R,k)}function T(I){I.target.removeEventListener("dispose",T);for(const B in u){const R=u[B],k=I.target.uuid;k in R&&(R[k].dispose(),delete R[k])}}}function kz(n,e,t){const r=t.isWebGL2;function i(){let q=!1;const fe=new $n;let Ie=null;const lt=new $n(0,0,0,0);return{setMask:function(it){Ie!==it&&!q&&(n.colorMask(it,it,it,it),Ie=it)},setLocked:function(it){q=it},setClear:function(it,Ct,$t,Yt,Jt){Jt===!0&&(it*=Yt,Ct*=Yt,$t*=Yt),fe.set(it,Ct,$t,Yt),lt.equals(fe)===!1&&(n.clearColor(it,Ct,$t,Yt),lt.copy(fe))},reset:function(){q=!1,Ie=null,lt.set(-1,0,0,0)}}}function a(){let q=!1,fe=null,Ie=null,lt=null;return{setTest:function(it){it?et(n.DEPTH_TEST):De(n.DEPTH_TEST)},setMask:function(it){fe!==it&&!q&&(n.depthMask(it),fe=it)},setFunc:function(it){if(Ie!==it){switch(it){case BI:n.depthFunc(n.NEVER);break;case FI:n.depthFunc(n.ALWAYS);break;case GI:n.depthFunc(n.LESS);break;case ql:n.depthFunc(n.LEQUAL);break;case WI:n.depthFunc(n.EQUAL);break;case VI:n.depthFunc(n.GEQUAL);break;case HI:n.depthFunc(n.GREATER);break;case qI:n.depthFunc(n.NOTEQUAL);break;default:n.depthFunc(n.LEQUAL)}Ie=it}},setLocked:function(it){q=it},setClear:function(it){lt!==it&&(n.clearDepth(it),lt=it)},reset:function(){q=!1,fe=null,Ie=null,lt=null}}}function s(){let q=!1,fe=null,Ie=null,lt=null,it=null,Ct=null,$t=null,Yt=null,Jt=null;return{setTest:function(It){q||(It?et(n.STENCIL_TEST):De(n.STENCIL_TEST))},setMask:function(It){fe!==It&&!q&&(n.stencilMask(It),fe=It)},setFunc:function(It,Rt,Fn){(Ie!==It||lt!==Rt||it!==Fn)&&(n.stencilFunc(It,Rt,Fn),Ie=It,lt=Rt,it=Fn)},setOp:function(It,Rt,Fn){(Ct!==It||$t!==Rt||Yt!==Fn)&&(n.stencilOp(It,Rt,Fn),Ct=It,$t=Rt,Yt=Fn)},setLocked:function(It){q=It},setClear:function(It){Jt!==It&&(n.clearStencil(It),Jt=It)},reset:function(){q=!1,fe=null,Ie=null,lt=null,it=null,Ct=null,$t=null,Yt=null,Jt=null}}}const o=new i,l=new a,u=new s,c=new WeakMap,h=new WeakMap;let p={},d={},m=new WeakMap,y=[],g=null,_=!1,w=null,b=null,E=null,T=null,I=null,C=null,B=null,R=new qt(0,0,0),k=0,j=!1,Q=null,ie=null,F=null,$=null,L=null;const H=n.getParameter(n.MAX_COMBINED_TEXTURE_IMAGE_UNITS);let K=!1,X=0;const J=n.getParameter(n.VERSION);J.indexOf("WebGL")!==-1?(X=parseFloat(/^WebGL (\d)/.exec(J)[1]),K=X>=1):J.indexOf("OpenGL ES")!==-1&&(X=parseFloat(/^OpenGL ES (\d)/.exec(J)[1]),K=X>=2);let W=null,ae={};const Z=n.getParameter(n.SCISSOR_BOX),de=n.getParameter(n.VIEWPORT),ye=new $n().fromArray(Z),Pe=new $n().fromArray(de);function ke(q,fe,Ie,lt){const it=new Uint8Array(4),Ct=n.createTexture();n.bindTexture(q,Ct),n.texParameteri(q,n.TEXTURE_MIN_FILTER,n.NEAREST),n.texParameteri(q,n.TEXTURE_MAG_FILTER,n.NEAREST);for(let $t=0;$t<Ie;$t++)r&&(q===n.TEXTURE_3D||q===n.TEXTURE_2D_ARRAY)?n.texImage3D(fe,0,n.RGBA,1,1,lt,0,n.RGBA,n.UNSIGNED_BYTE,it):n.texImage2D(fe+$t,0,n.RGBA,1,1,0,n.RGBA,n.UNSIGNED_BYTE,it);return Ct}const Be={};Be[n.TEXTURE_2D]=ke(n.TEXTURE_2D,n.TEXTURE_2D,1),Be[n.TEXTURE_CUBE_MAP]=ke(n.TEXTURE_CUBE_MAP,n.TEXTURE_CUBE_MAP_POSITIVE_X,6),r&&(Be[n.TEXTURE_2D_ARRAY]=ke(n.TEXTURE_2D_ARRAY,n.TEXTURE_2D_ARRAY,1,1),Be[n.TEXTURE_3D]=ke(n.TEXTURE_3D,n.TEXTURE_3D,1,1)),o.setClear(0,0,0,1),l.setClear(1),u.setClear(0),et(n.DEPTH_TEST),l.setFunc(ql),xt(!1),N(hg),et(n.CULL_FACE),Ve(Oi);function et(q){p[q]!==!0&&(n.enable(q),p[q]=!0)}function De(q){p[q]!==!1&&(n.disable(q),p[q]=!1)}function Xe(q,fe){return d[q]!==fe?(n.bindFramebuffer(q,fe),d[q]=fe,r&&(q===n.DRAW_FRAMEBUFFER&&(d[n.FRAMEBUFFER]=fe),q===n.FRAMEBUFFER&&(d[n.DRAW_FRAMEBUFFER]=fe)),!0):!1}function te(q,fe){let Ie=y,lt=!1;if(q)if(Ie=m.get(fe),Ie===void 0&&(Ie=[],m.set(fe,Ie)),q.isWebGLMultipleRenderTargets){const it=q.texture;if(Ie.length!==it.length||Ie[0]!==n.COLOR_ATTACHMENT0){for(let Ct=0,$t=it.length;Ct<$t;Ct++)Ie[Ct]=n.COLOR_ATTACHMENT0+Ct;Ie.length=it.length,lt=!0}}else Ie[0]!==n.COLOR_ATTACHMENT0&&(Ie[0]=n.COLOR_ATTACHMENT0,lt=!0);else Ie[0]!==n.BACK&&(Ie[0]=n.BACK,lt=!0);lt&&(t.isWebGL2?n.drawBuffers(Ie):e.get("WEBGL_draw_buffers").drawBuffersWEBGL(Ie))}function Xt(q){return g!==q?(n.useProgram(q),g=q,!0):!1}const Fe={[ra]:n.FUNC_ADD,[MI]:n.FUNC_SUBTRACT,[TI]:n.FUNC_REVERSE_SUBTRACT};if(r)Fe[gg]=n.MIN,Fe[_g]=n.MAX;else{const q=e.get("EXT_blend_minmax");q!==null&&(Fe[gg]=q.MIN_EXT,Fe[_g]=q.MAX_EXT)}const ot={[AI]:n.ZERO,[CI]:n.ONE,[$I]:n.SRC_COLOR,[td]:n.SRC_ALPHA,[DI]:n.SRC_ALPHA_SATURATE,[kI]:n.DST_COLOR,[II]:n.DST_ALPHA,[RI]:n.ONE_MINUS_SRC_COLOR,[nd]:n.ONE_MINUS_SRC_ALPHA,[OI]:n.ONE_MINUS_DST_COLOR,[PI]:n.ONE_MINUS_DST_ALPHA,[LI]:n.CONSTANT_COLOR,[zI]:n.ONE_MINUS_CONSTANT_COLOR,[NI]:n.CONSTANT_ALPHA,[UI]:n.ONE_MINUS_CONSTANT_ALPHA};function Ve(q,fe,Ie,lt,it,Ct,$t,Yt,Jt,It){if(q===Oi){_===!0&&(De(n.BLEND),_=!1);return}if(_===!1&&(et(n.BLEND),_=!0),q!==EI){if(q!==w||It!==j){if((b!==ra||I!==ra)&&(n.blendEquation(n.FUNC_ADD),b=ra,I=ra),It)switch(q){case is:n.blendFuncSeparate(n.ONE,n.ONE_MINUS_SRC_ALPHA,n.ONE,n.ONE_MINUS_SRC_ALPHA);break;case pg:n.blendFunc(n.ONE,n.ONE);break;case fg:n.blendFuncSeparate(n.ZERO,n.ONE_MINUS_SRC_COLOR,n.ZERO,n.ONE);break;case mg:n.blendFuncSeparate(n.ZERO,n.SRC_COLOR,n.ZERO,n.SRC_ALPHA);break;default:console.error("THREE.WebGLState: Invalid blending: ",q);break}else switch(q){case 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if(U.length>0&&yt){ve&&Ze&&t.texStorage2D(n.TEXTURE_2D,He,Ue,U[0].width,U[0].height);for(let Se=0,q=U.length;Se<q;Se++)Le=U[Se],ve?t.texSubImage2D(n.TEXTURE_2D,Se,0,0,vt,ht,Le):t.texImage2D(n.TEXTURE_2D,Se,Ue,vt,ht,Le);O.generateMipmaps=!1}else ve?(Ze&&t.texStorage2D(n.TEXTURE_2D,He,Ue,be.width,be.height),t.texSubImage2D(n.TEXTURE_2D,0,0,0,vt,ht,be)):t.texImage2D(n.TEXTURE_2D,0,Ue,vt,ht,be);w(O,yt)&&b(ge),Ye.__version=_e.version,O.onUpdate&&O.onUpdate(O)}N.__version=O.version}function Pe(N,O,ne){if(O.image.length!==6)return;const ge=de(N,O),we=O.source;t.bindTexture(n.TEXTURE_CUBE_MAP,N.__webglTexture,n.TEXTURE0+ne);const _e=r.get(we);if(we.version!==_e.__version||ge===!0){t.activeTexture(n.TEXTURE0+ne);const Ye=Qt.getPrimaries(Qt.workingColorSpace),Re=O.colorSpace===_r?null:Qt.getPrimaries(O.colorSpace),We=O.colorSpace===_r||Ye===Re?n.NONE:n.BROWSER_DEFAULT_WEBGL;n.pixelStorei(n.UNPACK_FLIP_Y_WEBGL,O.flipY),n.pixelStorei(n.UNPACK_PREMULTIPLY_ALPHA_WEBGL,O.premultiplyAlpha),n.pixelStorei(n.UNPACK_ALIGNMENT,O.unpackAlignment),n.pixelStorei(n.UNPACK_COLORSPACE_CONVERSION_WEBGL,We);const nt=O.isCompressedTexture||O.image[0].isCompressedTexture,dt=O.image[0]&&O.image[0].isDataTexture,be=[];for(let Se=0;Se<6;Se++)!nt&&!dt?be[Se]=y(O.image[Se],!1,!0,i.maxCubemapSize):be[Se]=dt?O.image[Se].image:O.image[Se],be[Se]=xt(O,be[Se]);const yt=be[0],vt=g(yt)||o,ht=a.convert(O.format,O.colorSpace),Ue=a.convert(O.type),Le=E(O.internalFormat,ht,Ue,O.colorSpace),U=o&&O.isVideoTexture!==!0,ve=_e.__version===void 0||ge===!0;let Ze=T(O,yt,vt);Z(n.TEXTURE_CUBE_MAP,O,vt);let He;if(nt){U&&ve&&t.texStorage2D(n.TEXTURE_CUBE_MAP,Ze,Le,yt.width,yt.height);for(let Se=0;Se<6;Se++){He=be[Se].mipmaps;for(let q=0;q<He.length;q++){const fe=He[q];O.format!==zr?ht!==null?U?t.compressedTexSubImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q,0,0,fe.width,fe.height,ht,fe.data):t.compressedTexImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q,Le,fe.width,fe.height,0,fe.data):console.warn("THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()"):U?t.texSubImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q,0,0,fe.width,fe.height,ht,Ue,fe.data):t.texImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q,Le,fe.width,fe.height,0,ht,Ue,fe.data)}}}else{He=O.mipmaps,U&&ve&&(He.length>0&&Ze++,t.texStorage2D(n.TEXTURE_CUBE_MAP,Ze,Le,be[0].width,be[0].height));for(let Se=0;Se<6;Se++)if(dt){U?t.texSubImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,0,0,0,be[Se].width,be[Se].height,ht,Ue,be[Se].data):t.texImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,0,Le,be[Se].width,be[Se].height,0,ht,Ue,be[Se].data);for(let q=0;q<He.length;q++){const Ie=He[q].image[Se].image;U?t.texSubImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q+1,0,0,Ie.width,Ie.height,ht,Ue,Ie.data):t.texImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q+1,Le,Ie.width,Ie.height,0,ht,Ue,Ie.data)}}else{U?t.texSubImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,0,0,0,ht,Ue,be[Se]):t.texImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,0,Le,ht,Ue,be[Se]);for(let q=0;q<He.length;q++){const fe=He[q];U?t.texSubImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q+1,0,0,ht,Ue,fe.image[Se]):t.texImage2D(n.TEXTURE_CUBE_MAP_POSITIVE_X+Se,q+1,Le,ht,Ue,fe.image[Se])}}}w(O,vt)&&b(n.TEXTURE_CUBE_MAP),_e.__version=we.version,O.onUpdate&&O.onUpdate(O)}N.__version=O.version}function ke(N,O,ne,ge,we,_e){const Ye=a.convert(ne.format,ne.colorSpace),Re=a.convert(ne.type),We=E(ne.internalFormat,Ye,Re,ne.colorSpace);if(!r.get(O).__hasExternalTextures){const dt=Math.max(1,O.width>>_e),be=Math.max(1,O.height>>_e);we===n.TEXTURE_3D||we===n.TEXTURE_2D_ARRAY?t.texImage3D(we,_e,We,dt,be,O.depth,0,Ye,Re,null):t.texImage2D(we,_e,We,dt,be,0,Ye,Re,null)}t.bindFramebuffer(n.FRAMEBUFFER,N),Ve(O)?l.framebufferTexture2DMultisampleEXT(n.FRAMEBUFFER,ge,we,r.get(ne).__webglTexture,0,ot(O)):(we===n.TEXTURE_2D||we>=n.TEXTURE_CUBE_MAP_POSITIVE_X&&we<=n.TEXTURE_CUBE_MAP_NEGATIVE_Z)&&n.framebufferTexture2D(n.FRAMEBUFFER,ge,we,r.get(ne).__webglTexture,_e),t.bindFramebuffer(n.FRAMEBUFFER,null)}function Be(N,O,ne){if(n.bindRenderbuffer(n.RENDERBUFFER,N),O.depthBuffer&&!O.stencilBuffer){let ge=o===!0?n.DEPTH_COMPONENT24:n.DEPTH_COMPONENT16;if(ne||Ve(O)){const we=O.depthTexture;we&&we.isDepthTexture&&(we.type===ki?ge=n.DEPTH_COMPONENT32F:we.type===Pi&&(ge=n.DEPTH_COMPONENT24));const _e=ot(O);Ve(O)?l.renderbufferStorageMultisampleEXT(n.RENDERBUFFER,_e,ge,O.width,O.height):n.renderbufferStorageMultisample(n.RENDERBUFFER,_e,ge,O.width,O.height)}else n.renderbufferStorage(n.RENDERBUFFER,ge,O.width,O.height);n.framebufferRenderbuffer(n.FRAMEBUFFER,n.DEPTH_ATTACHMENT,n.RENDERBUFFER,N)}else if(O.depthBuffer&&O.stencilBuffer){const ge=ot(O);ne&&Ve(O)===!1?n.renderbufferStorageMultisample(n.RENDERBUFFER,ge,n.DEPTH24_STENCIL8,O.width,O.height):Ve(O)?l.renderbufferStorageMultisampleEXT(n.RENDERBUFFER,ge,n.DEPTH24_STENCIL8,O.width,O.height):n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,O.width,O.height),n.framebufferRenderbuffer(n.FRAMEBUFFER,n.DEPTH_STENCIL_ATTACHMENT,n.RENDERBUFFER,N)}else{const ge=O.isWebGLMultipleRenderTargets===!0?O.texture:[O.texture];for(let we=0;we<ge.length;we++){const _e=ge[we],Ye=a.convert(_e.format,_e.colorSpace),Re=a.convert(_e.type),We=E(_e.internalFormat,Ye,Re,_e.colorSpace),nt=ot(O);ne&&Ve(O)===!1?n.renderbufferStorageMultisample(n.RENDERBUFFER,nt,We,O.width,O.height):Ve(O)?l.renderbufferStorageMultisampleEXT(n.RENDERBUFFER,nt,We,O.width,O.height):n.renderbufferStorage(n.RENDERBUFFER,We,O.width,O.height)}}n.bindRenderbuffer(n.RENDERBUFFER,null)}function et(N,O){if(O&&O.isWebGLCubeRenderTarget)throw new Error("Depth Texture with cube render targets is not supported");if(t.bindFramebuffer(n.FRAMEBUFFER,N),!(O.depthTexture&&O.depthTexture.isDepthTexture))throw new Error("renderTarget.depthTexture must be an instance of THREE.DepthTexture");(!r.get(O.depthTexture).__webglTexture||O.depthTexture.image.width!==O.width||O.depthTexture.image.height!==O.height)&&(O.depthTexture.image.width=O.width,O.depthTexture.image.height=O.height,O.depthTexture.needsUpdate=!0),L(O.depthTexture,0);const ge=r.get(O.depthTexture).__webglTexture,we=ot(O);if(O.depthTexture.format===ca)Ve(O)?l.framebufferTexture2DMultisampleEXT(n.FRAMEBUFFER,n.DEPTH_ATTACHMENT,n.TEXTURE_2D,ge,0,we):n.framebufferTexture2D(n.FRAMEBUFFER,n.DEPTH_ATTACHMENT,n.TEXTURE_2D,ge,0);else if(O.depthTexture.format===hs)Ve(O)?l.framebufferTexture2DMultisampleEXT(n.FRAMEBUFFER,n.DEPTH_STENCIL_ATTACHMENT,n.TEXTURE_2D,ge,0,we):n.framebufferTexture2D(n.FRAMEBUFFER,n.DEPTH_STENCIL_ATTACHMENT,n.TEXTURE_2D,ge,0);else throw new Error("Unknown depthTexture format")}function De(N){const O=r.get(N),ne=N.isWebGLCubeRenderTarget===!0;if(N.depthTexture&&!O.__autoAllocateDepthBuffer){if(ne)throw new Error("target.depthTexture not supported in Cube render targets");et(O.__webglFramebuffer,N)}else if(ne){O.__webglDepthbuffer=[];for(let ge=0;ge<6;ge++)t.bindFramebuffer(n.FRAMEBUFFER,O.__webglFramebuffer[ge]),O.__webglDepthbuffer[ge]=n.createRenderbuffer(),Be(O.__webglDepthbuffer[ge],N,!1)}else t.bindFramebuffer(n.FRAMEBUFFER,O.__webglFramebuffer),O.__webglDepthbuffer=n.createRenderbuffer(),Be(O.__webglDepthbuffer,N,!1);t.bindFramebuffer(n.FRAMEBUFFER,null)}function Xe(N,O,ne){const ge=r.get(N);O!==void 0&&ke(ge.__webglFramebuffer,N,N.texture,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,0),ne!==void 0&&De(N)}function te(N){const O=N.texture,ne=r.get(N),ge=r.get(O);N.addEventListener("dispose",B),N.isWebGLMultipleRenderTargets!==!0&&(ge.__webglTexture===void 0&&(ge.__webglTexture=n.createTexture()),ge.__version=O.version,s.memory.textures++);const we=N.isWebGLCubeRenderTarget===!0,_e=N.isWebGLMultipleRenderTargets===!0,Ye=g(N)||o;if(we){ne.__webglFramebuffer=[];for(let Re=0;Re<6;Re++)if(o&&O.mipmaps&&O.mipmaps.length>0){ne.__webglFramebuffer[Re]=[];for(let We=0;We<O.mipmaps.length;We++)ne.__webglFramebuffer[Re][We]=n.createFramebuffer()}else ne.__webglFramebuffer[Re]=n.createFramebuffer()}else{if(o&&O.mipmaps&&O.mipmaps.length>0){ne.__webglFramebuffer=[];for(let 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dt=a.convert(nt.format,nt.colorSpace),be=a.convert(nt.type),yt=E(nt.internalFormat,dt,be,nt.colorSpace,N.isXRRenderTarget===!0),vt=ot(N);n.renderbufferStorageMultisample(n.RENDERBUFFER,vt,yt,N.width,N.height),n.framebufferRenderbuffer(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0+We,n.RENDERBUFFER,ne.__webglColorRenderbuffer[We])}n.bindRenderbuffer(n.RENDERBUFFER,null),N.depthBuffer&&(ne.__webglDepthRenderbuffer=n.createRenderbuffer(),Be(ne.__webglDepthRenderbuffer,N,!0)),t.bindFramebuffer(n.FRAMEBUFFER,null)}}if(we){t.bindTexture(n.TEXTURE_CUBE_MAP,ge.__webglTexture),Z(n.TEXTURE_CUBE_MAP,O,Ye);for(let Re=0;Re<6;Re++)if(o&&O.mipmaps&&O.mipmaps.length>0)for(let We=0;We<O.mipmaps.length;We++)ke(ne.__webglFramebuffer[Re][We],N,O,n.COLOR_ATTACHMENT0,n.TEXTURE_CUBE_MAP_POSITIVE_X+Re,We);else ke(ne.__webglFramebuffer[Re],N,O,n.COLOR_ATTACHMENT0,n.TEXTURE_CUBE_MAP_POSITIVE_X+Re,0);w(O,Ye)&&b(n.TEXTURE_CUBE_MAP),t.unbindTexture()}else if(_e){const Re=N.texture;for(let We=0,nt=Re.length;We<nt;We++){const dt=Re[We],be=r.get(dt);t.bindTexture(n.TEXTURE_2D,be.__webglTexture),Z(n.TEXTURE_2D,dt,Ye),ke(ne.__webglFramebuffer,N,dt,n.COLOR_ATTACHMENT0+We,n.TEXTURE_2D,0),w(dt,Ye)&&b(n.TEXTURE_2D)}t.unbindTexture()}else{let Re=n.TEXTURE_2D;if((N.isWebGL3DRenderTarget||N.isWebGLArrayRenderTarget)&&(o?Re=N.isWebGL3DRenderTarget?n.TEXTURE_3D:n.TEXTURE_2D_ARRAY:console.error("THREE.WebGLTextures: THREE.Data3DTexture and THREE.DataArrayTexture only supported with WebGL2.")),t.bindTexture(Re,ge.__webglTexture),Z(Re,O,Ye),o&&O.mipmaps&&O.mipmaps.length>0)for(let We=0;We<O.mipmaps.length;We++)ke(ne.__webglFramebuffer[We],N,O,n.COLOR_ATTACHMENT0,Re,We);else ke(ne.__webglFramebuffer,N,O,n.COLOR_ATTACHMENT0,Re,0);w(O,Ye)&&b(Re),t.unbindTexture()}N.depthBuffer&&De(N)}function Xt(N){const O=g(N)||o,ne=N.isWebGLMultipleRenderTargets===!0?N.texture:[N.texture];for(let ge=0,we=ne.length;ge<we;ge++){const _e=ne[ge];if(w(_e,O)){const Ye=N.isWebGLCubeRenderTarget?n.TEXTURE_CUBE_MAP:n.TEXTURE_2D,Re=r.get(_e).__webglTexture;t.bindTexture(Ye,Re),b(Ye),t.unbindTexture()}}}function Fe(N){if(o&&N.samples>0&&Ve(N)===!1){const O=N.isWebGLMultipleRenderTargets?N.texture:[N.texture],ne=N.width,ge=N.height;let we=n.COLOR_BUFFER_BIT;const _e=[],Ye=N.stencilBuffer?n.DEPTH_STENCIL_ATTACHMENT:n.DEPTH_ATTACHMENT,Re=r.get(N),We=N.isWebGLMultipleRenderTargets===!0;if(We)for(let nt=0;nt<O.length;nt++)t.bindFramebuffer(n.FRAMEBUFFER,Re.__webglMultisampledFramebuffer),n.framebufferRenderbuffer(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0+nt,n.RENDERBUFFER,null),t.bindFramebuffer(n.FRAMEBUFFER,Re.__webglFramebuffer),n.framebufferTexture2D(n.DRAW_FRAMEBUFFER,n.COLOR_ATTACHMENT0+nt,n.TEXTURE_2D,null,0);t.bindFramebuffer(n.READ_FRAMEBUFFER,Re.__webglMultisampledFramebuffer),t.bindFramebuffer(n.DRAW_FRAMEBUFFER,Re.__webglFramebuffer);for(let nt=0;nt<O.length;nt++){_e.push(n.COLOR_ATTACHMENT0+nt),N.depthBuffer&&_e.push(Ye);const dt=Re.__ignoreDepthValues!==void 0?Re.__ignoreDepthValues:!1;if(dt===!1&&(N.depthBuffer&&(we|=n.DEPTH_BUFFER_BIT),N.stencilBuffer&&(we|=n.STENCIL_BUFFER_BIT)),We&&n.framebufferRenderbuffer(n.READ_FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.RENDERBUFFER,Re.__webglColorRenderbuffer[nt]),dt===!0&&(n.invalidateFramebuffer(n.READ_FRAMEBUFFER,[Ye]),n.invalidateFramebuffer(n.DRAW_FRAMEBUFFER,[Ye])),We){const be=r.get(O[nt]).__webglTexture;n.framebufferTexture2D(n.DRAW_FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,be,0)}n.blitFramebuffer(0,0,ne,ge,0,0,ne,ge,we,n.NEAREST),u&&n.invalidateFramebuffer(n.READ_FRAMEBUFFER,_e)}if(t.bindFramebuffer(n.READ_FRAMEBUFFER,null),t.bindFramebuffer(n.DRAW_FRAMEBUFFER,null),We)for(let nt=0;nt<O.length;nt++){t.bindFramebuffer(n.FRAMEBUFFER,Re.__webglMultisampledFramebuffer),n.framebufferRenderbuffer(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0+nt,n.RENDERBUFFER,Re.__webglColorRenderbuffer[nt]);const dt=r.get(O[nt]).__webglTexture;t.bindFramebuffer(n.FRAMEBUFFER,Re.__webglFramebuffer),n.framebufferTexture2D(n.DRAW_FRAMEBUFFER,n.COLOR_ATTACHMENT0+nt,n.TEXTURE_2D,dt,0)}t.bindFramebuffer(n.DRAW_FRAMEBUFFER,Re.__webglMultisampledFramebuffer)}}function ot(N){return Math.min(i.maxSamples,N.samples)}function Ve(N){const O=r.get(N);return o&&N.samples>0&&e.has("WEBGL_multisampled_render_to_texture")===!0&&O.__useRenderToTexture!==!1}function zt(N){const O=s.render.frame;c.get(N)!==O&&(c.set(N,O),N.update())}function xt(N,O){const ne=N.colorSpace,ge=N.format,we=N.type;return N.isCompressedTexture===!0||N.isVideoTexture===!0||N.format===od||ne!==fi&&ne!==_r&&(Qt.getTransfer(ne)===rn?o===!1?e.has("EXT_sRGB")===!0&&ge===zr?(N.format=od,N.minFilter=mr,N.generateMipmaps=!1):O=Rx.sRGBToLinear(O):(ge!==zr||we!==Li)&&console.warn("THREE.WebGLTextures: sRGB encoded textures have to use RGBAFormat and UnsignedByteType."):console.error("THREE.WebGLTextures: Unsupported texture color space:",ne)),O}this.allocateTextureUnit=F,this.resetTextureUnits=ie,this.setTexture2D=L,this.setTexture2DArray=H,this.setTexture3D=K,this.setTextureCube=X,this.rebindTextures=Xe,this.setupRenderTarget=te,this.updateRenderTargetMipmap=Xt,this.updateMultisampleRenderTarget=Fe,this.setupDepthRenderbuffer=De,this.setupFrameBufferTexture=ke,this.useMultisampledRTT=Ve}function Dz(n,e,t){const r=t.isWebGL2;function i(a,s=_r){let o;const l=Qt.getTransfer(s);if(a===Li)return n.UNSIGNED_BYTE;if(a===wx)return n.UNSIGNED_SHORT_4_4_4_4;if(a===bx)return n.UNSIGNED_SHORT_5_5_5_1;if(a===nP)return n.BYTE;if(a===rP)return n.SHORT;if(a===nh)return n.UNSIGNED_SHORT;if(a===vx)return n.INT;if(a===Pi)return n.UNSIGNED_INT;if(a===ki)return n.FLOAT;if(a===no)return r?n.HALF_FLOAT:(o=e.get("OES_texture_half_float"),o!==null?o.HALF_FLOAT_OES:null);if(a===iP)return n.ALPHA;if(a===zr)return n.RGBA;if(a===aP)return n.LUMINANCE;if(a===sP)return n.LUMINANCE_ALPHA;if(a===ca)return n.DEPTH_COMPONENT;if(a===hs)return n.DEPTH_STENCIL;if(a===od)return o=e.get("EXT_sRGB"),o!==null?o.SRGB_ALPHA_EXT:null;if(a===oP)return n.RED;if(a===xx)return n.RED_INTEGER;if(a===lP)return n.RG;if(a===Sx)return n.RG_INTEGER;if(a===Ex)return n.RGBA_INTEGER;if(a===uc||a===cc||a===dc||a===hc)if(l===rn)if(o=e.get("WEBGL_compressed_texture_s3tc_srgb"),o!==null){if(a===uc)return o.COMPRESSED_SRGB_S3TC_DXT1_EXT;if(a===cc)return o.COMPRESSED_SRGB_ALPHA_S3TC_DXT1_EXT;if(a===dc)return o.COMPRESSED_SRGB_ALPHA_S3TC_DXT3_EXT;if(a===hc)return o.COMPRESSED_SRGB_ALPHA_S3TC_DXT5_EXT}else return null;else if(o=e.get("WEBGL_compressed_texture_s3tc"),o!==null){if(a===uc)return o.COMPRESSED_RGB_S3TC_DXT1_EXT;if(a===cc)return o.COMPRESSED_RGBA_S3TC_DXT1_EXT;if(a===dc)return o.COMPRESSED_RGBA_S3TC_DXT3_EXT;if(a===hc)return o.COMPRESSED_RGBA_S3TC_DXT5_EXT}else return null;if(a===vg||a===wg||a===bg||a===xg)if(o=e.get("WEBGL_compressed_texture_pvrtc"),o!==null){if(a===vg)return o.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;if(a===wg)return o.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;if(a===bg)return o.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;if(a===xg)return o.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG}else return null;if(a===Mx)return o=e.get("WEBGL_compressed_texture_etc1"),o!==null?o.COMPRESSED_RGB_ETC1_WEBGL:null;if(a===Sg||a===Eg)if(o=e.get("WEBGL_compressed_texture_etc"),o!==null){if(a===Sg)return l===rn?o.COMPRESSED_SRGB8_ETC2:o.COMPRESSED_RGB8_ETC2;if(a===Eg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ETC2_EAC:o.COMPRESSED_RGBA8_ETC2_EAC}else return null;if(a===Mg||a===Tg||a===Ag||a===Cg||a===$g||a===Rg||a===Ig||a===Pg||a===kg||a===Og||a===Dg||a===Lg||a===zg||a===Ng)if(o=e.get("WEBGL_compressed_texture_astc"),o!==null){if(a===Mg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_4x4_KHR:o.COMPRESSED_RGBA_ASTC_4x4_KHR;if(a===Tg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_5x4_KHR:o.COMPRESSED_RGBA_ASTC_5x4_KHR;if(a===Ag)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_5x5_KHR:o.COMPRESSED_RGBA_ASTC_5x5_KHR;if(a===Cg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_6x5_KHR:o.COMPRESSED_RGBA_ASTC_6x5_KHR;if(a===$g)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_6x6_KHR:o.COMPRESSED_RGBA_ASTC_6x6_KHR;if(a===Rg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_8x5_KHR:o.COMPRESSED_RGBA_ASTC_8x5_KHR;if(a===Ig)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_8x6_KHR:o.COMPRESSED_RGBA_ASTC_8x6_KHR;if(a===Pg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_8x8_KHR:o.COMPRESSED_RGBA_ASTC_8x8_KHR;if(a===kg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x5_KHR:o.COMPRESSED_RGBA_ASTC_10x5_KHR;if(a===Og)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x6_KHR:o.COMPRESSED_RGBA_ASTC_10x6_KHR;if(a===Dg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x8_KHR:o.COMPRESSED_RGBA_ASTC_10x8_KHR;if(a===Lg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_10x10_KHR:o.COMPRESSED_RGBA_ASTC_10x10_KHR;if(a===zg)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_12x10_KHR:o.COMPRESSED_RGBA_ASTC_12x10_KHR;if(a===Ng)return l===rn?o.COMPRESSED_SRGB8_ALPHA8_ASTC_12x12_KHR:o.COMPRESSED_RGBA_ASTC_12x12_KHR}else return null;if(a===pc||a===Ug||a===Bg)if(o=e.get("EXT_texture_compression_bptc"),o!==null){if(a===pc)return l===rn?o.COMPRESSED_SRGB_ALPHA_BPTC_UNORM_EXT:o.COMPRESSED_RGBA_BPTC_UNORM_EXT;if(a===Ug)return o.COMPRESSED_RGB_BPTC_SIGNED_FLOAT_EXT;if(a===Bg)return o.COMPRESSED_RGB_BPTC_UNSIGNED_FLOAT_EXT}else return null;if(a===uP||a===Fg||a===Gg||a===Wg)if(o=e.get("EXT_texture_compression_rgtc"),o!==null){if(a===pc)return o.COMPRESSED_RED_RGTC1_EXT;if(a===Fg)return o.COMPRESSED_SIGNED_RED_RGTC1_EXT;if(a===Gg)return o.COMPRESSED_RED_GREEN_RGTC2_EXT;if(a===Wg)return o.COMPRESSED_SIGNED_RED_GREEN_RGTC2_EXT}else return null;return a===ua?r?n.UNSIGNED_INT_24_8:(o=e.get("WEBGL_depth_texture"),o!==null?o.UNSIGNED_INT_24_8_WEBGL:null):n[a]!==void 0?n[a]:null}return{convert:i}}class Lz extends gr{constructor(e=[]){super(),this.isArrayCamera=!0,this.cameras=e}}class _l extends ir{constructor(){super(),this.isGroup=!0,this.type="Group"}}const zz={type:"move"};class Lc{constructor(){this._targetRay=null,this._grip=null,this._hand=null}getHandSpace(){return this._hand===null&&(this._hand=new _l,this._hand.matrixAutoUpdate=!1,this._hand.visible=!1,this._hand.joints={},this._hand.inputState={pinching:!1}),this._hand}getTargetRaySpace(){return this._targetRay===null&&(this._targetRay=new _l,this._targetRay.matrixAutoUpdate=!1,this._targetRay.visible=!1,this._targetRay.hasLinearVelocity=!1,this._targetRay.linearVelocity=new re,this._targetRay.hasAngularVelocity=!1,this._targetRay.angularVelocity=new re),this._targetRay}getGripSpace(){return this._grip===null&&(this._grip=new _l,this._grip.matrixAutoUpdate=!1,this._grip.visible=!1,this._grip.hasLinearVelocity=!1,this._grip.linearVelocity=new re,this._grip.hasAngularVelocity=!1,this._grip.angularVelocity=new re),this._grip}dispatchEvent(e){return this._targetRay!==null&&this._targetRay.dispatchEvent(e),this._grip!==null&&this._grip.dispatchEvent(e),this._hand!==null&&this._hand.dispatchEvent(e),this}connect(e){if(e&&e.hand){const t=this._hand;if(t)for(const r of e.hand.values())this._getHandJoint(t,r)}return this.dispatchEvent({type:"connected",data:e}),this}disconnect(e){return this.dispatchEvent({type:"disconnected",data:e}),this._targetRay!==null&&(this._targetRay.visible=!1),this._grip!==null&&(this._grip.visible=!1),this._hand!==null&&(this._hand.visible=!1),this}update(e,t,r){let i=null,a=null,s=null;const o=this._targetRay,l=this._grip,u=this._hand;if(e&&t.session.visibilityState!=="visible-blurred"){if(u&&e.hand){s=!0;for(const y of e.hand.values()){const g=t.getJointPose(y,r),_=this._getHandJoint(u,y);g!==null&&(_.matrix.fromArray(g.transform.matrix),_.matrix.decompose(_.position,_.rotation,_.scale),_.matrixWorldNeedsUpdate=!0,_.jointRadius=g.radius),_.visible=g!==null}const c=u.joints["index-finger-tip"],h=u.joints["thumb-tip"],p=c.position.distanceTo(h.position),d=.02,m=.005;u.inputState.pinching&&p>d+m?(u.inputState.pinching=!1,this.dispatchEvent({type:"pinchend",handedness:e.handedness,target:this})):!u.inputState.pinching&&p<=d-m&&(u.inputState.pinching=!0,this.dispatchEvent({type:"pinchstart",handedness:e.handedness,target:this}))}else l!==null&&e.gripSpace&&(a=t.getPose(e.gripSpace,r),a!==null&&(l.matrix.fromArray(a.transform.matrix),l.matrix.decompose(l.position,l.rotation,l.scale),l.matrixWorldNeedsUpdate=!0,a.linearVelocity?(l.hasLinearVelocity=!0,l.linearVelocity.copy(a.linearVelocity)):l.hasLinearVelocity=!1,a.angularVelocity?(l.hasAngularVelocity=!0,l.angularVelocity.copy(a.angularVelocity)):l.hasAngularVelocity=!1));o!==null&&(i=t.getPose(e.targetRaySpace,r),i===null&&a!==null&&(i=a),i!==null&&(o.matrix.fromArray(i.transform.matrix),o.matrix.decompose(o.position,o.rotation,o.scale),o.matrixWorldNeedsUpdate=!0,i.linearVelocity?(o.hasLinearVelocity=!0,o.linearVelocity.copy(i.linearVelocity)):o.hasLinearVelocity=!1,i.angularVelocity?(o.hasAngularVelocity=!0,o.angularVelocity.copy(i.angularVelocity)):o.hasAngularVelocity=!1,this.dispatchEvent(zz)))}return o!==null&&(o.visible=i!==null),l!==null&&(l.visible=a!==null),u!==null&&(u.visible=s!==null),this}_getHandJoint(e,t){if(e.joints[t.jointName]===void 0){const r=new _l;r.matrixAutoUpdate=!1,r.visible=!1,e.joints[t.jointName]=r,e.add(r)}return e.joints[t.jointName]}}class Nz extends Ea{constructor(e,t){super();const r=this;let i=null,a=1,s=null,o="local-floor",l=1,u=null,c=null,h=null,p=null,d=null,m=null;const y=t.getContextAttributes();let g=null,_=null;const w=[],b=[],E=new kt;let T=null;const I=new gr;I.layers.enable(1),I.viewport=new $n;const C=new gr;C.layers.enable(2),C.viewport=new $n;const B=[I,C],R=new Lz;R.layers.enable(1),R.layers.enable(2);let k=null,j=null;this.cameraAutoUpdate=!0,this.enabled=!1,this.isPresenting=!1,this.getController=function(Z){let de=w[Z];return de===void 0&&(de=new Lc,w[Z]=de),de.getTargetRaySpace()},this.getControllerGrip=function(Z){let de=w[Z];return de===void 0&&(de=new Lc,w[Z]=de),de.getGripSpace()},this.getHand=function(Z){let de=w[Z];return de===void 0&&(de=new Lc,w[Z]=de),de.getHandSpace()};function Q(Z){const de=b.indexOf(Z.inputSource);if(de===-1)return;const ye=w[de];ye!==void 0&&(ye.update(Z.inputSource,Z.frame,u||s),ye.dispatchEvent({type:Z.type,data:Z.inputSource}))}function ie(){i.removeEventListener("select",Q),i.removeEventListener("selectstart",Q),i.removeEventListener("selectend",Q),i.removeEventListener("squeeze",Q),i.removeEventListener("squeezestart",Q),i.removeEventListener("squeezeend",Q),i.removeEventListener("end",ie),i.removeEventListener("inputsourceschange",F);for(let Z=0;Z<w.length;Z++){const de=b[Z];de!==null&&(b[Z]=null,w[Z].disconnect(de))}k=null,j=null,e.setRenderTarget(g),d=null,p=null,h=null,i=null,_=null,ae.stop(),r.isPresenting=!1,e.setPixelRatio(T),e.setSize(E.width,E.height,!1),r.dispatchEvent({type:"sessionend"})}this.setFramebufferScaleFactor=function(Z){a=Z,r.isPresenting===!0&&console.warn("THREE.WebXRManager: Cannot change framebuffer scale while presenting.")},this.setReferenceSpaceType=function(Z){o=Z,r.isPresenting===!0&&console.warn("THREE.WebXRManager: Cannot change reference space type while presenting.")},this.getReferenceSpace=function(){return u||s},this.setReferenceSpace=function(Z){u=Z},this.getBaseLayer=function(){return p!==null?p:d},this.getBinding=function(){return h},this.getFrame=function(){return m},this.getSession=function(){return i},this.setSession=async function(Z){if(i=Z,i!==null){if(g=e.getRenderTarget(),i.addEventListener("select",Q),i.addEventListener("selectstart",Q),i.addEventListener("selectend",Q),i.addEventListener("squeeze",Q),i.addEventListener("squeezestart",Q),i.addEventListener("squeezeend",Q),i.addEventListener("end",ie),i.addEventListener("inputsourceschange",F),y.xrCompatible!==!0&&await t.makeXRCompatible(),T=e.getPixelRatio(),e.getSize(E),i.renderState.layers===void 0||e.capabilities.isWebGL2===!1){const de={antialias:i.renderState.layers===void 0?y.antialias:!0,alpha:!0,depth:y.depth,stencil:y.stencil,framebufferScaleFactor:a};d=new XRWebGLLayer(i,t,de),i.updateRenderState({baseLayer:d}),e.setPixelRatio(1),e.setSize(d.framebufferWidth,d.framebufferHeight,!1),_=new _a(d.framebufferWidth,d.framebufferHeight,{format:zr,type:Li,colorSpace:e.outputColorSpace,stencilBuffer:y.stencil})}else{let de=null,ye=null,Pe=null;y.depth&&(Pe=y.stencil?t.DEPTH24_STENCIL8:t.DEPTH_COMPONENT24,de=y.stencil?hs:ca,ye=y.stencil?ua:Pi);const ke={colorFormat:t.RGBA8,depthFormat:Pe,scaleFactor:a};h=new XRWebGLBinding(i,t),p=h.createProjectionLayer(ke),i.updateRenderState({layers:[p]}),e.setPixelRatio(1),e.setSize(p.textureWidth,p.textureHeight,!1),_=new _a(p.textureWidth,p.textureHeight,{format:zr,type:Li,depthTexture:new Vx(p.textureWidth,p.textureHeight,ye,void 0,void 0,void 0,void 0,void 0,void 0,de),stencilBuffer:y.stencil,colorSpace:e.outputColorSpace,samples:y.antialias?4:0});const Be=e.properties.get(_);Be.__ignoreDepthValues=p.ignoreDepthValues}_.isXRRenderTarget=!0,this.setFoveation(l),u=null,s=await i.requestReferenceSpace(o),ae.setContext(i),ae.start(),r.isPresenting=!0,r.dispatchEvent({type:"sessionstart"})}},this.getEnvironmentBlendMode=function(){if(i!==null)return i.environmentBlendMode};function F(Z){for(let de=0;de<Z.removed.length;de++){const ye=Z.removed[de],Pe=b.indexOf(ye);Pe>=0&&(b[Pe]=null,w[Pe].disconnect(ye))}for(let de=0;de<Z.added.length;de++){const ye=Z.added[de];let Pe=b.indexOf(ye);if(Pe===-1){for(let Be=0;Be<w.length;Be++)if(Be>=b.length){b.push(ye),Pe=Be;break}else if(b[Be]===null){b[Be]=ye,Pe=Be;break}if(Pe===-1)break}const ke=w[Pe];ke&&ke.connect(ye)}}const $=new re,L=new re;function H(Z,de,ye){$.setFromMatrixPosition(de.matrixWorld),L.setFromMatrixPosition(ye.matrixWorld);const Pe=$.distanceTo(L),ke=de.projectionMatrix.elements,Be=ye.projectionMatrix.elements,et=ke[14]/(ke[10]-1),De=ke[14]/(ke[10]+1),Xe=(ke[9]+1)/ke[5],te=(ke[9]-1)/ke[5],Xt=(ke[8]-1)/ke[0],Fe=(Be[8]+1)/Be[0],ot=et*Xt,Ve=et*Fe,zt=Pe/(-Xt+Fe),xt=zt*-Xt;de.matrixWorld.decompose(Z.position,Z.quaternion,Z.scale),Z.translateX(xt),Z.translateZ(zt),Z.matrixWorld.compose(Z.position,Z.quaternion,Z.scale),Z.matrixWorldInverse.copy(Z.matrixWorld).invert();const N=et+zt,O=De+zt,ne=ot-xt,ge=Ve+(Pe-xt),we=Xe*De/O*N,_e=te*De/O*N;Z.projectionMatrix.makePerspective(ne,ge,we,_e,N,O),Z.projectionMatrixInverse.copy(Z.projectionMatrix).invert()}function K(Z,de){de===null?Z.matrixWorld.copy(Z.matrix):Z.matrixWorld.multiplyMatrices(de.matrixWorld,Z.matrix),Z.matrixWorldInverse.copy(Z.matrixWorld).invert()}this.updateCamera=function(Z){if(i===null)return;R.near=C.near=I.near=Z.near,R.far=C.far=I.far=Z.far,(k!==R.near||j!==R.far)&&(i.updateRenderState({depthNear:R.near,depthFar:R.far}),k=R.near,j=R.far);const de=Z.parent,ye=R.cameras;K(R,de);for(let Pe=0;Pe<ye.length;Pe++)K(ye[Pe],de);ye.length===2?H(R,I,C):R.projectionMatrix.copy(I.projectionMatrix),X(Z,R,de)};function X(Z,de,ye){ye===null?Z.matrix.copy(de.matrixWorld):(Z.matrix.copy(ye.matrixWorld),Z.matrix.invert(),Z.matrix.multiply(de.matrixWorld)),Z.matrix.decompose(Z.position,Z.quaternion,Z.scale),Z.updateMatrixWorld(!0),Z.projectionMatrix.copy(de.projectionMatrix),Z.projectionMatrixInverse.copy(de.projectionMatrixInverse),Z.isPerspectiveCamera&&(Z.fov=ro*2*Math.atan(1/Z.projectionMatrix.elements[5]),Z.zoom=1)}this.getCamera=function(){return R},this.getFoveation=function(){if(!(p===null&&d===null))return l},this.setFoveation=function(Z){l=Z,p!==null&&(p.fixedFoveation=Z),d!==null&&d.fixedFoveation!==void 0&&(d.fixedFoveation=Z)};let J=null;function W(Z,de){if(c=de.getViewerPose(u||s),m=de,c!==null){const ye=c.views;d!==null&&(e.setRenderTargetFramebuffer(_,d.framebuffer),e.setRenderTarget(_));let Pe=!1;ye.length!==R.cameras.length&&(R.cameras.length=0,Pe=!0);for(let ke=0;ke<ye.length;ke++){const Be=ye[ke];let et=null;if(d!==null)et=d.getViewport(Be);else{const Xe=h.getViewSubImage(p,Be);et=Xe.viewport,ke===0&&(e.setRenderTargetTextures(_,Xe.colorTexture,p.ignoreDepthValues?void 0:Xe.depthStencilTexture),e.setRenderTarget(_))}let De=B[ke];De===void 0&&(De=new gr,De.layers.enable(ke),De.viewport=new $n,B[ke]=De),De.matrix.fromArray(Be.transform.matrix),De.matrix.decompose(De.position,De.quaternion,De.scale),De.projectionMatrix.fromArray(Be.projectionMatrix),De.projectionMatrixInverse.copy(De.projectionMatrix).invert(),De.viewport.set(et.x,et.y,et.width,et.height),ke===0&&(R.matrix.copy(De.matrix),R.matrix.decompose(R.position,R.quaternion,R.scale)),Pe===!0&&R.cameras.push(De)}}for(let ye=0;ye<w.length;ye++){const Pe=b[ye],ke=w[ye];Pe!==null&&ke!==void 0&&ke.update(Pe,de,u||s)}J&&J(Z,de),de.detectedPlanes&&r.dispatchEvent({type:"planesdetected",data:de}),m=null}const ae=new Wx;ae.setAnimationLoop(W),this.setAnimationLoop=function(Z){J=Z},this.dispose=function(){}}}function Uz(n,e){function t(g,_){g.matrixAutoUpdate===!0&&g.updateMatrix(),_.value.copy(g.matrix)}function r(g,_){_.color.getRGB(g.fogColor.value,Ux(n)),_.isFog?(g.fogNear.value=_.near,g.fogFar.value=_.far):_.isFogExp2&&(g.fogDensity.value=_.density)}function i(g,_,w,b,E){_.isMeshBasicMaterial||_.isMeshLambertMaterial?a(g,_):_.isMeshToonMaterial?(a(g,_),h(g,_)):_.isMeshPhongMaterial?(a(g,_),c(g,_)):_.isMeshStandardMaterial?(a(g,_),p(g,_),_.isMeshPhysicalMaterial&&d(g,_,E)):_.isMeshMatcapMaterial?(a(g,_),m(g,_)):_.isMeshDepthMaterial?a(g,_):_.isMeshDistanceMaterial?(a(g,_),y(g,_)):_.isMeshNormalMaterial?a(g,_):_.isLineBasicMaterial?(s(g,_),_.isLineDashedMaterial&&o(g,_)):_.isPointsMaterial?l(g,_,w,b):_.isSpriteMaterial?u(g,_):_.isShadowMaterial?(g.color.value.copy(_.color),g.opacity.value=_.opacity):_.isShaderMaterial&&(_.uniformsNeedUpdate=!1)}function a(g,_){g.opacity.value=_.opacity,_.color&&g.diffuse.value.copy(_.color),_.emissive&&g.emissive.value.copy(_.emissive).multiplyScalar(_.emissiveIntensity),_.map&&(g.map.value=_.map,t(_.map,g.mapTransform)),_.alphaMap&&(g.alphaMap.value=_.alphaMap,t(_.alphaMap,g.alphaMapTransform)),_.bumpMap&&(g.bumpMap.value=_.bumpMap,t(_.bumpMap,g.bumpMapTransform),g.bumpScale.value=_.bumpScale,_.side===rr&&(g.bumpScale.value*=-1)),_.normalMap&&(g.normalMap.value=_.normalMap,t(_.normalMap,g.normalMapTransform),g.normalScale.value.copy(_.normalScale),_.side===rr&&g.normalScale.value.negate()),_.displacementMap&&(g.displacementMap.value=_.displacementMap,t(_.displacementMap,g.displacementMapTransform),g.displacementScale.value=_.displacementScale,g.displacementBias.value=_.displacementBias),_.emissiveMap&&(g.emissiveMap.value=_.emissiveMap,t(_.emissiveMap,g.emissiveMapTransform)),_.specularMap&&(g.specularMap.value=_.specularMap,t(_.specularMap,g.specularMapTransform)),_.alphaTest>0&&(g.alphaTest.value=_.alphaTest);const w=e.get(_).envMap;if(w&&(g.envMap.value=w,g.flipEnvMap.value=w.isCubeTexture&&w.isRenderTargetTexture===!1?-1:1,g.reflectivity.value=_.reflectivity,g.ior.value=_.ior,g.refractionRatio.value=_.refractionRatio),_.lightMap){g.lightMap.value=_.lightMap;const b=n._useLegacyLights===!0?Math.PI:1;g.lightMapIntensity.value=_.lightMapIntensity*b,t(_.lightMap,g.lightMapTransform)}_.aoMap&&(g.aoMap.value=_.aoMap,g.aoMapIntensity.value=_.aoMapIntensity,t(_.aoMap,g.aoMapTransform))}function s(g,_){g.diffuse.value.copy(_.color),g.opacity.value=_.opacity,_.map&&(g.map.value=_.map,t(_.map,g.mapTransform))}function o(g,_){g.dashSize.value=_.dashSize,g.totalSize.value=_.dashSize+_.gapSize,g.scale.value=_.scale}function l(g,_,w,b){g.diffuse.value.copy(_.color),g.opacity.value=_.opacity,g.size.value=_.size*w,g.scale.value=b*.5,_.map&&(g.map.value=_.map,t(_.map,g.uvTransform)),_.alphaMap&&(g.alphaMap.value=_.alphaMap,t(_.alphaMap,g.alphaMapTransform)),_.alphaTest>0&&(g.alphaTest.value=_.alphaTest)}function 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ze(){if(ue.forEach(function(qe){xt.get(qe).currentProgram.isReady()&&ue.delete(qe)}),ue.size===0){se(z);return}setTimeout(ze,10)}Fe.get("KHR_parallel_shader_compile")!==null?ze():setTimeout(ze,10)})};let $t=null;function Yt(z){$t&&$t(z)}function Jt(){Rt.stop()}function It(){Rt.start()}const Rt=new Wx;Rt.setAnimationLoop(Yt),typeof self<"u"&&Rt.setContext(self),this.setAnimationLoop=function(z){$t=z,He.setAnimationLoop(z),z===null?Rt.stop():Rt.start()},He.addEventListener("sessionstart",Jt),He.addEventListener("sessionend",It),this.render=function(z,ee){if(ee!==void 0&&ee.isCamera!==!0){console.error("THREE.WebGLRenderer.render: camera is not an instance of 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Kn(y,z,ee);C!==null&&(N.updateMultisampleRenderTarget(C),N.updateRenderTargetMipmap(C)),z.isScene===!0&&z.onAfterRender(b,z,ee),U.resetDefaultState(),B=-1,R=null,w.pop(),w.length>0?g=w[w.length-1]:g=null,_.pop(),_.length>0?y=_[_.length-1]:y=null};function Fn(z,ee,oe,ue){if(z.visible===!1)return;if(z.layers.test(ee.layers)){if(z.isGroup)oe=z.renderOrder;else if(z.isLOD)z.autoUpdate===!0&&z.update(ee);else if(z.isLight)g.pushLight(z),z.castShadow&&g.pushShadow(z);else if(z.isSprite){if(!z.frustumCulled||Z.intersectsSprite(z)){ue&&et.setFromMatrixPosition(z.matrixWorld).applyMatrix4(ke);const qe=_e.update(z),at=z.material;at.visible&&y.push(z,qe,at,oe,et.z,null)}}else if((z.isMesh||z.isLine||z.isPoints)&&(!z.frustumCulled||Z.intersectsObject(z))){const qe=_e.update(z),at=z.material;if(ue&&(z.boundingSphere!==void 0?(z.boundingSphere===null&&z.computeBoundingSphere(),et.copy(z.boundingSphere.center)):(qe.boundingSphere===null&&qe.computeBoundingSphere(),et.copy(qe.boundingSphere.center)),et.applyMatrix4(z.matrixWorld).applyMatrix4(ke)),Array.isArray(at)){const ft=qe.groups;for(let mt=0,wt=ft.length;mt<wt;mt++){const rt=ft[mt],en=at[rt.materialIndex];en&&en.visible&&y.push(z,qe,en,oe,et.z,rt)}}else at.visible&&y.push(z,qe,at,oe,et.z,null)}}const ze=z.children;for(let qe=0,at=ze.length;qe<at;qe++)Fn(ze[qe],ee,oe,ue)}function Kn(z,ee,oe,ue){const se=z.opaque,ze=z.transmissive,qe=z.transparent;g.setupLightsView(oe),de===!0&&dt.setGlobalState(b.clippingPlanes,oe),ze.length>0&&Pn(se,ze,ee,oe),ue&&Ve.viewport(k.copy(ue)),se.length>0&&Br(se,ee,oe),ze.length>0&&Br(ze,ee,oe),qe.length>0&&Br(qe,ee,oe),Ve.buffers.depth.setTest(!0),Ve.buffers.depth.setMask(!0),Ve.buffers.color.setMask(!0),Ve.setPolygonOffset(!1)}function Pn(z,ee,oe,ue){if((oe.isScene===!0?oe.overrideMaterial:null)!==null)return;const ze=ot.isWebGL2;Pe===null&&(Pe=new _a(1,1,{generateMipmaps:!0,type:Fe.has("EXT_color_buffer_half_float")?no:Li,minFilter:to,samples:ze?4:0})),b.getDrawingBufferSize(Be),ze?Pe.setSize(Be.x,Be.y):Pe.setSize(Zl(Be.x),Zl(Be.y));const qe=b.getRenderTarget();b.setRenderTarget(Pe),b.getClearColor(ie),F=b.getClearAlpha(),F<1&&b.setClearColor(16777215,.5),b.clear();const at=b.toneMapping;b.toneMapping=Di,Br(z,oe,ue),N.updateMultisampleRenderTarget(Pe),N.updateRenderTargetMipmap(Pe);let ft=!1;for(let mt=0,wt=ee.length;mt<wt;mt++){const rt=ee[mt],en=rt.object,gn=rt.geometry,Wt=rt.material,kn=rt.group;if(Wt.side===qr&&en.layers.test(ue.layers)){const Mt=Wt.side;Wt.side=rr,Wt.needsUpdate=!0,Zn(en,oe,ue,gn,Wt,kn),Wt.side=Mt,Wt.needsUpdate=!0,ft=!0}}ft===!0&&(N.updateMultisampleRenderTarget(Pe),N.updateRenderTargetMipmap(Pe)),b.setRenderTarget(qe),b.setClearColor(ie,F),b.toneMapping=at}function Br(z,ee,oe){const ue=ee.isScene===!0?ee.overrideMaterial:null;for(let se=0,ze=z.length;se<ze;se++){const qe=z[se],at=qe.object,ft=qe.geometry,mt=ue===null?qe.material:ue,wt=qe.group;at.layers.test(oe.layers)&&Zn(at,ee,oe,ft,mt,wt)}}function Zn(z,ee,oe,ue,se,ze){z.onBeforeRender(b,ee,oe,ue,se,ze),z.modelViewMatrix.multiplyMatrices(oe.matrixWorldInverse,z.matrixWorld),z.normalMatrix.getNormalMatrix(z.modelViewMatrix),se.onBeforeRender(b,ee,oe,ue,z,ze),se.transparent===!0&&se.side===qr&&se.forceSinglePass===!1?(se.side=rr,se.needsUpdate=!0,b.renderBufferDirect(oe,ee,ue,se,z,ze),se.side=Ui,se.needsUpdate=!0,b.renderBufferDirect(oe,ee,ue,se,z,ze),se.side=qr):b.renderBufferDirect(oe,ee,ue,se,z,ze),z.onAfterRender(b,ee,oe,ue,se,ze)}function Fr(z,ee,oe){ee.isScene!==!0&&(ee=De);const ue=xt.get(z),se=g.state.lights,ze=g.state.shadowsArray,qe=se.state.version,at=Ye.getParameters(z,se.state,ze,ee,oe),ft=Ye.getProgramCacheKey(at);let mt=ue.programs;ue.environment=z.isMeshStandardMaterial?ee.environment:null,ue.fog=ee.fog,ue.envMap=(z.isMeshStandardMaterial?ne:O).get(z.envMap||ue.environment),mt===void 0&&(z.addEventListener("dispose",Ie),mt=new Map,ue.programs=mt);let wt=mt.get(ft);if(wt!==void 0){if(ue.currentProgram===wt&&ue.lightsStateVersion===qe)return Bi(z,at),wt}else at.uniforms=Ye.getUniforms(z),z.onBuild(oe,at,b),z.onBeforeCompile(at,b),wt=Ye.acquireProgram(at,ft),mt.set(ft,wt),ue.uniforms=at.uniforms;const rt=ue.uniforms;return(!z.isShaderMaterial&&!z.isRawShaderMaterial||z.clipping===!0)&&(rt.clippingPlanes=dt.uniform),Bi(z,at),ue.needsLights=Aa(z),ue.lightsStateVersion=qe,ue.needsLights&&(rt.ambientLightColor.value=se.state.ambient,rt.lightProbe.value=se.state.probe,rt.directionalLights.value=se.state.directional,rt.directionalLightShadows.value=se.state.directionalShadow,rt.spotLights.value=se.state.spot,rt.spotLightShadows.value=se.state.spotShadow,rt.rectAreaLights.value=se.state.rectArea,rt.ltc_1.value=se.state.rectAreaLTC1,rt.ltc_2.value=se.state.rectAreaLTC2,rt.pointLights.value=se.state.point,rt.pointLightShadows.value=se.state.pointShadow,rt.hemisphereLights.value=se.state.hemi,rt.directionalShadowMap.value=se.state.directionalShadowMap,rt.directionalShadowMatrix.value=se.state.directionalShadowMatrix,rt.spotShadowMap.value=se.state.spotShadowMap,rt.spotLightMatrix.value=se.state.spotLightMatrix,rt.spotLightMap.value=se.state.spotLightMap,rt.pointShadowMap.value=se.state.pointShadowMap,rt.pointShadowMatrix.value=se.state.pointShadowMatrix),ue.currentProgram=wt,ue.uniformsList=null,wt}function _i(z){if(z.uniformsList===null){const ee=z.currentProgram.getUniforms();z.uniformsList=Cl.seqWithValue(ee.seq,z.uniforms)}return z.uniformsList}function Bi(z,ee){const oe=xt.get(z);oe.outputColorSpace=ee.outputColorSpace,oe.batching=ee.batching,oe.instancing=ee.instancing,oe.instancingColor=ee.instancingColor,oe.skinning=ee.skinning,oe.morphTargets=ee.morphTargets,oe.morphNormals=ee.morphNormals,oe.morphColors=ee.morphColors,oe.morphTargetsCount=ee.morphTargetsCount,oe.numClippingPlanes=ee.numClippingPlanes,oe.numIntersection=ee.numClipIntersection,oe.vertexAlphas=ee.vertexAlphas,oe.vertexTangents=ee.vertexTangents,oe.toneMapping=ee.toneMapping}function yi(z,ee,oe,ue,se){ee.isScene!==!0&&(ee=De),N.resetTextureUnits();const ze=ee.fog,qe=ue.isMeshStandardMaterial?ee.environment:null,at=C===null?b.outputColorSpace:C.isXRRenderTarget===!0?C.texture.colorSpace:fi,ft=(ue.isMeshStandardMaterial?ne:O).get(ue.envMap||qe),mt=ue.vertexColors===!0&&!!oe.attributes.color&&oe.attributes.color.itemSize===4,wt=!!oe.attributes.tangent&&(!!ue.normalMap||ue.anisotropy>0),rt=!!oe.morphAttributes.position,en=!!oe.morphAttributes.normal,gn=!!oe.morphAttributes.color;let Wt=Di;ue.toneMapped&&(C===null||C.isXRRenderTarget===!0)&&(Wt=b.toneMapping);const kn=oe.morphAttributes.position||oe.morphAttributes.normal||oe.morphAttributes.color,Mt=kn!==void 0?kn.length:0,ut=xt.get(ue),xr=g.state.lights;if(de===!0&&(ye===!0||z!==R)){const Qe=z===R&&ue.id===B;dt.setState(ue,z,Qe)}let tn=!1;ue.version===ut.__version?(ut.needsLights&&ut.lightsStateVersion!==xr.state.version||ut.outputColorSpace!==at||se.isBatchedMesh&&ut.batching===!1||!se.isBatchedMesh&&ut.batching===!0||se.isInstancedMesh&&ut.instancing===!1||!se.isInstancedMesh&&ut.instancing===!0||se.isSkinnedMesh&&ut.skinning===!1||!se.isSkinnedMesh&&ut.skinning===!0||se.isInstancedMesh&&ut.instancingColor===!0&&se.instanceColor===null||se.isInstancedMesh&&ut.instancingColor===!1&&se.instanceColor!==null||ut.envMap!==ft||ue.fog===!0&&ut.fog!==ze||ut.numClippingPlanes!==void 0&&(ut.numClippingPlanes!==dt.numPlanes||ut.numIntersection!==dt.numIntersection)||ut.vertexAlphas!==mt||ut.vertexTangents!==wt||ut.morphTargets!==rt||ut.morphNormals!==en||ut.morphColors!==gn||ut.toneMapping!==Wt||ot.isWebGL2===!0&&ut.morphTargetsCount!==Mt)&&(tn=!0):(tn=!0,ut.__version=ue.version);let cr=ut.currentProgram;tn===!0&&(cr=Fr(ue,ee,se));let vi=!1,Qr=!1,wi=!1;const hn=cr.getUniforms(),Qn=ut.uniforms;if(Ve.useProgram(cr.program)&&(vi=!0,Qr=!0,wi=!0),ue.id!==B&&(B=ue.id,Qr=!0),vi||R!==z){hn.setValue(te,"projectionMatrix",z.projectionMatrix),hn.setValue(te,"viewMatrix",z.matrixWorldInverse);const Qe=hn.map.cameraPosition;Qe!==void 0&&Qe.setValue(te,et.setFromMatrixPosition(z.matrixWorld)),ot.logarithmicDepthBuffer&&hn.setValue(te,"logDepthBufFC",2/(Math.log(z.far+1)/Math.LN2)),(ue.isMeshPhongMaterial||ue.isMeshToonMaterial||ue.isMeshLambertMaterial||ue.isMeshBasicMaterial||ue.isMeshStandardMaterial||ue.isShaderMaterial)&&hn.setValue(te,"isOrthographic",z.isOrthographicCamera===!0),R!==z&&(R=z,Qr=!0,wi=!0)}if(se.isSkinnedMesh){hn.setOptional(te,se,"bindMatrix"),hn.setOptional(te,se,"bindMatrixInverse");const Qe=se.skeleton;Qe&&(ot.floatVertexTextures?(Qe.boneTexture===null&&Qe.computeBoneTexture(),hn.setValue(te,"boneTexture",Qe.boneTexture,N)):console.warn("THREE.WebGLRenderer: SkinnedMesh can only be used with WebGL 2. With WebGL 1 OES_texture_float and vertex textures support is required."))}se.isBatchedMesh&&(hn.setOptional(te,se,"batchingTexture"),hn.setValue(te,"batchingTexture",se._matricesTexture,N));const Fi=oe.morphAttributes;if((Fi.position!==void 0||Fi.normal!==void 0||Fi.color!==void 0&&ot.isWebGL2===!0)&&vt.update(se,oe,cr),(Qr||ut.receiveShadow!==se.receiveShadow)&&(ut.receiveShadow=se.receiveShadow,hn.setValue(te,"receiveShadow",se.receiveShadow)),ue.isMeshGouraudMaterial&&ue.envMap!==null&&(Qn.envMap.value=ft,Qn.flipEnvMap.value=ft.isCubeTexture&&ft.isRenderTargetTexture===!1?-1:1),Qr&&(hn.setValue(te,"toneMappingExposure",b.toneMappingExposure),ut.needsLights&&Ta(Qn,wi),ze&&ue.fog===!0&&Re.refreshFogUniforms(Qn,ze),Re.refreshMaterialUniforms(Qn,ue,H,L,Pe),Cl.upload(te,_i(ut),Qn,N)),ue.isShaderMaterial&&ue.uniformsNeedUpdate===!0&&(Cl.upload(te,_i(ut),Qn,N),ue.uniformsNeedUpdate=!1),ue.isSpriteMaterial&&hn.setValue(te,"center",se.center),hn.setValue(te,"modelViewMatrix",se.modelViewMatrix),hn.setValue(te,"normalMatrix",se.normalMatrix),hn.setValue(te,"modelMatrix",se.matrixWorld),ue.isShaderMaterial||ue.isRawShaderMaterial){const Qe=ue.uniformsGroups;for(let Jr=0,Gr=Qe.length;Jr<Gr;Jr++)if(ot.isWebGL2){const xn=Qe[Jr];ve.update(xn,cr),ve.bind(xn,cr)}else console.warn("THREE.WebGLRenderer: Uniform Buffer Objects can only be used with WebGL 2.")}return cr}function Ta(z,ee){z.ambientLightColor.needsUpdate=ee,z.lightProbe.needsUpdate=ee,z.directionalLights.needsUpdate=ee,z.directionalLightShadows.needsUpdate=ee,z.pointLights.needsUpdate=ee,z.pointLightShadows.needsUpdate=ee,z.spotLights.needsUpdate=ee,z.spotLightShadows.needsUpdate=ee,z.rectAreaLights.needsUpdate=ee,z.hemisphereLights.needsUpdate=ee}function Aa(z){return z.isMeshLambertMaterial||z.isMeshToonMaterial||z.isMeshPhongMaterial||z.isMeshStandardMaterial||z.isShadowMaterial||z.isShaderMaterial&&z.lights===!0}this.getActiveCubeFace=function(){return T},this.getActiveMipmapLevel=function(){return I},this.getRenderTarget=function(){return C},this.setRenderTargetTextures=function(z,ee,oe){xt.get(z.texture).__webglTexture=ee,xt.get(z.depthTexture).__webglTexture=oe;const ue=xt.get(z);ue.__hasExternalTextures=!0,ue.__hasExternalTextures&&(ue.__autoAllocateDepthBuffer=oe===void 0,ue.__autoAllocateDepthBuffer||Fe.has("WEBGL_multisampled_render_to_texture")===!0&&(console.warn("THREE.WebGLRenderer: Render-to-texture extension was disabled because an external texture was provided"),ue.__useRenderToTexture=!1))},this.setRenderTargetFramebuffer=function(z,ee){const oe=xt.get(z);oe.__webglFramebuffer=ee,oe.__useDefaultFramebuffer=ee===void 0},this.setRenderTarget=function(z,ee=0,oe=0){C=z,T=ee,I=oe;let ue=!0,se=null,ze=!1,qe=!1;if(z){const ft=xt.get(z);ft.__useDefaultFramebuffer!==void 0?(Ve.bindFramebuffer(te.FRAMEBUFFER,null),ue=!1):ft.__webglFramebuffer===void 0?N.setupRenderTarget(z):ft.__hasExternalTextures&&N.rebindTextures(z,xt.get(z.texture).__webglTexture,xt.get(z.depthTexture).__webglTexture);const mt=z.texture;(mt.isData3DTexture||mt.isDataArrayTexture||mt.isCompressedArrayTexture)&&(qe=!0);const wt=xt.get(z).__webglFramebuffer;z.isWebGLCubeRenderTarget?(Array.isArray(wt[ee])?se=wt[ee][oe]:se=wt[ee],ze=!0):ot.isWebGL2&&z.samples>0&&N.useMultisampledRTT(z)===!1?se=xt.get(z).__webglMultisampledFramebuffer:Array.isArray(wt)?se=wt[oe]:se=wt,k.copy(z.viewport),j.copy(z.scissor),Q=z.scissorTest}else k.copy(J).multiplyScalar(H).floor(),j.copy(W).multiplyScalar(H).floor(),Q=ae;if(Ve.bindFramebuffer(te.FRAMEBUFFER,se)&&ot.drawBuffers&&ue&&Ve.drawBuffers(z,se),Ve.viewport(k),Ve.scissor(j),Ve.setScissorTest(Q),ze){const ft=xt.get(z.texture);te.framebufferTexture2D(te.FRAMEBUFFER,te.COLOR_ATTACHMENT0,te.TEXTURE_CUBE_MAP_POSITIVE_X+ee,ft.__webglTexture,oe)}else if(qe){const ft=xt.get(z.texture),mt=ee||0;te.framebufferTextureLayer(te.FRAMEBUFFER,te.COLOR_ATTACHMENT0,ft.__webglTexture,oe||0,mt)}B=-1},this.readRenderTargetPixels=function(z,ee,oe,ue,se,ze,qe){if(!(z&&z.isWebGLRenderTarget)){console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.");return}let at=xt.get(z).__webglFramebuffer;if(z.isWebGLCubeRenderTarget&&qe!==void 0&&(at=at[qe]),at){Ve.bindFramebuffer(te.FRAMEBUFFER,at);try{const ft=z.texture,mt=ft.format,wt=ft.type;if(mt!==zr&&Le.convert(mt)!==te.getParameter(te.IMPLEMENTATION_COLOR_READ_FORMAT)){console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.");return}const rt=wt===no&&(Fe.has("EXT_color_buffer_half_float")||ot.isWebGL2&&Fe.has("EXT_color_buffer_float"));if(wt!==Li&&Le.convert(wt)!==te.getParameter(te.IMPLEMENTATION_COLOR_READ_TYPE)&&!(wt===ki&&(ot.isWebGL2||Fe.has("OES_texture_float")||Fe.has("WEBGL_color_buffer_float")))&&!rt){console.error("THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.");return}ee>=0&&ee<=z.width-ue&&oe>=0&&oe<=z.height-se&&te.readPixels(ee,oe,ue,se,Le.convert(mt),Le.convert(wt),ze)}finally{const ft=C!==null?xt.get(C).__webglFramebuffer:null;Ve.bindFramebuffer(te.FRAMEBUFFER,ft)}}},this.copyFramebufferToTexture=function(z,ee,oe=0){const ue=Math.pow(2,-oe),se=Math.floor(ee.image.width*ue),ze=Math.floor(ee.image.height*ue);N.setTexture2D(ee,0),te.copyTexSubImage2D(te.TEXTURE_2D,oe,0,0,z.x,z.y,se,ze),Ve.unbindTexture()},this.copyTextureToTexture=function(z,ee,oe,ue=0){const se=ee.image.width,ze=ee.image.height,qe=Le.convert(oe.format),at=Le.convert(oe.type);N.setTexture2D(oe,0),te.pixelStorei(te.UNPACK_FLIP_Y_WEBGL,oe.flipY),te.pixelStorei(te.UNPACK_PREMULTIPLY_ALPHA_WEBGL,oe.premultiplyAlpha),te.pixelStorei(te.UNPACK_ALIGNMENT,oe.unpackAlignment),ee.isDataTexture?te.texSubImage2D(te.TEXTURE_2D,ue,z.x,z.y,se,ze,qe,at,ee.image.data):ee.isCompressedTexture?te.compressedTexSubImage2D(te.TEXTURE_2D,ue,z.x,z.y,ee.mipmaps[0].width,ee.mipmaps[0].height,qe,ee.mipmaps[0].data):te.texSubImage2D(te.TEXTURE_2D,ue,z.x,z.y,qe,at,ee.image),ue===0&&oe.generateMipmaps&&te.generateMipmap(te.TEXTURE_2D),Ve.unbindTexture()},this.copyTextureToTexture3D=function(z,ee,oe,ue,se=0){if(b.isWebGL1Renderer){console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.");return}const ze=z.max.x-z.min.x+1,qe=z.max.y-z.min.y+1,at=z.max.z-z.min.z+1,ft=Le.convert(ue.format),mt=Le.convert(ue.type);let wt;if(ue.isData3DTexture)N.setTexture3D(ue,0),wt=te.TEXTURE_3D;else if(ue.isDataArrayTexture||ue.isCompressedArrayTexture)N.setTexture2DArray(ue,0),wt=te.TEXTURE_2D_ARRAY;else{console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.");return}te.pixelStorei(te.UNPACK_FLIP_Y_WEBGL,ue.flipY),te.pixelStorei(te.UNPACK_PREMULTIPLY_ALPHA_WEBGL,ue.premultiplyAlpha),te.pixelStorei(te.UNPACK_ALIGNMENT,ue.unpackAlignment);const rt=te.getParameter(te.UNPACK_ROW_LENGTH),en=te.getParameter(te.UNPACK_IMAGE_HEIGHT),gn=te.getParameter(te.UNPACK_SKIP_PIXELS),Wt=te.getParameter(te.UNPACK_SKIP_ROWS),kn=te.getParameter(te.UNPACK_SKIP_IMAGES),Mt=oe.isCompressedTexture?oe.mipmaps[se]:oe.image;te.pixelStorei(te.UNPACK_ROW_LENGTH,Mt.width),te.pixelStorei(te.UNPACK_IMAGE_HEIGHT,Mt.height),te.pixelStorei(te.UNPACK_SKIP_PIXELS,z.min.x),te.pixelStorei(te.UNPACK_SKIP_ROWS,z.min.y),te.pixelStorei(te.UNPACK_SKIP_IMAGES,z.min.z),oe.isDataTexture||oe.isData3DTexture?te.texSubImage3D(wt,se,ee.x,ee.y,ee.z,ze,qe,at,ft,mt,Mt.data):oe.isCompressedArrayTexture?(console.warn("THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture."),te.compressedTexSubImage3D(wt,se,ee.x,ee.y,ee.z,ze,qe,at,ft,Mt.data)):te.texSubImage3D(wt,se,ee.x,ee.y,ee.z,ze,qe,at,ft,mt,Mt),te.pixelStorei(te.UNPACK_ROW_LENGTH,rt),te.pixelStorei(te.UNPACK_IMAGE_HEIGHT,en),te.pixelStorei(te.UNPACK_SKIP_PIXELS,gn),te.pixelStorei(te.UNPACK_SKIP_ROWS,Wt),te.pixelStorei(te.UNPACK_SKIP_IMAGES,kn),se===0&&ue.generateMipmaps&&te.generateMipmap(wt),Ve.unbindTexture()},this.initTexture=function(z){z.isCubeTexture?N.setTextureCube(z,0):z.isData3DTexture?N.setTexture3D(z,0):z.isDataArrayTexture||z.isCompressedArrayTexture?N.setTexture2DArray(z,0):N.setTexture2D(z,0),Ve.unbindTexture()},this.resetState=function(){T=0,I=0,C=null,Ve.reset(),U.reset()},typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent("observe",{detail:this}))}get coordinateSystem(){return di}get outputColorSpace(){return this._outputColorSpace}set outputColorSpace(e){this._outputColorSpace=e;const t=this.getContext();t.drawingBufferColorSpace=e===rh?"display-p3":"srgb",t.unpackColorSpace=Qt.workingColorSpace===pu?"display-p3":"srgb"}get outputEncoding(){return console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."),this.outputColorSpace===En?da:Tx}set outputEncoding(e){console.warn("THREE.WebGLRenderer: Property .outputEncoding has been removed. Use .outputColorSpace instead."),this.outputColorSpace=e===da?En:fi}get useLegacyLights(){return console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. Migrate your lighting according to the following guide: https://discourse.threejs.org/t/updates-to-lighting-in-three-js-r155/53733."),this._useLegacyLights}set useLegacyLights(e){console.warn("THREE.WebGLRenderer: The property .useLegacyLights has been deprecated. 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this.fog!==null&&(t.object.fog=this.fog.toJSON()),this.backgroundBlurriness>0&&(t.object.backgroundBlurriness=this.backgroundBlurriness),this.backgroundIntensity!==1&&(t.object.backgroundIntensity=this.backgroundIntensity),t}}class Wz extends Xn{constructor(e,t,r,i,a,s,o,l,u){super(e,t,r,i,a,s,o,l,u),this.isCanvasTexture=!0,this.needsUpdate=!0}}class Vz extends To{constructor(e){super(),this.isMeshStandardMaterial=!0,this.defines={STANDARD:""},this.type="MeshStandardMaterial",this.color=new qt(16777215),this.roughness=1,this.metalness=0,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new qt(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=Ax,this.normalScale=new 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0&&(t.object.angle=this.angle),this.decay!==void 0&&(t.object.decay=this.decay),this.penumbra!==void 0&&(t.object.penumbra=this.penumbra),this.shadow!==void 0&&(t.object.shadow=this.shadow.toJSON()),t}}class Kz extends Yz{constructor(e,t){super(e,t),this.isAmbientLight=!0,this.type="AmbientLight"}}class k_{constructor(e=1,t=0,r=0){return this.radius=e,this.phi=t,this.theta=r,this}set(e,t,r){return this.radius=e,this.phi=t,this.theta=r,this}copy(e){return this.radius=e.radius,this.phi=e.phi,this.theta=e.theta,this}makeSafe(){return this.phi=Math.max(1e-6,Math.min(Math.PI-1e-6,this.phi)),this}setFromVector3(e){return this.setFromCartesianCoords(e.x,e.y,e.z)}setFromCartesianCoords(e,t,r){return this.radius=Math.sqrt(e*e+t*t+r*r),this.radius===0?(this.theta=0,this.phi=0):(this.theta=Math.atan2(e,r),this.phi=Math.acos(Ln(t/this.radius,-1,1))),this}clone(){return new this.constructor().copy(this)}}typeof __THREE_DEVTOOLS__<"u"&&__THREE_DEVTOOLS__.dispatchEvent(new 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re,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minTargetRadius=0,this.maxTargetRadius=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.zoomToCursor=!1,this.autoRotate=!1,this.autoRotateSpeed=2,this.keys={LEFT:"ArrowLeft",UP:"ArrowUp",RIGHT:"ArrowRight",BOTTOM:"ArrowDown"},this.mouseButtons={LEFT:ka.ROTATE,MIDDLE:ka.DOLLY,RIGHT:ka.PAN},this.touches={ONE:Oa.ROTATE,TWO:Oa.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this.getPolarAngle=function(){return o.phi},this.getAzimuthalAngle=function(){return o.theta},this.getDistance=function(){return 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