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             Please use the previous external buffer!`)}else f=yt();return this.storageCache.set(f,{gpuData:{id:f,type:0,buffer:s},originalSize:i}),Tr("verbose",()=>`[WebGPU] GpuDataManager.registerExternalBuffer(size=${i}) => id=${f}, registered.`),f}unregisterExternalBuffer(s){s!==void 0&&(this.storageCache.delete(s),Tr("verbose",()=>`[WebGPU] GpuDataManager.unregisterExternalBuffer() => id=${s}`))}create(s,i=GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST){let l=_t(s),f,p=(i&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE,g=(i&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM;if(p||g){let v=(p?this.freeBuffers:this.freeUniformBuffers).get(l);v?v.length>0?f=v.pop():f=this.backend.device.createBuffer({size:l,usage:i}):f=this.backend.device.createBuffer({size:l,usage:i})}else f=this.backend.device.createBuffer({size:l,usage:i});let m={id:yt(),type:0,buffer:f};return this.storageCache.set(m.id,{gpuData:m,originalSize:Number(s)}),Tr("verbose",()=>`[WebGPU] GpuDataManager.create(size=${s}) => id=${m.id}`),m}get(s){var i;return(i=this.storageCache.get(s))==null?void 0:i.gpuData}release(s){let i=typeof s=="bigint"?Number(s):s,l=this.storageCache.get(i);if(!l){if(this.storageCache.size===0)return 0;throw new Error("releasing data does not exist")}return Tr("verbose",()=>`[WebGPU] GpuDataManager.release(id=${i}), gpuDataId=${l.gpuData.id}`),this.storageCache.delete(i),this.buffersPending.push(l.gpuData.buffer),l.originalSize}async download(s,i){let l=this.storageCache.get(Number(s));if(!l)throw new Error("data does not exist");await St(this.backend,l.gpuData.buffer,l.originalSize,i)}refreshPendingBuffers(){if(this.buffersPending.length!==0)if(this.backend.sessionStatus==="default"){for(let s of this.buffersPending){let i=Ae.get(s.size);if((s.usage&GPUBufferUsage.STORAGE)===GPUBufferUsage.STORAGE){let l=this.freeBuffers.get(s.size)||[];i===void 0||l.length>=i?s.destroy():l.push(s)}else if((s.usage&GPUBufferUsage.UNIFORM)===GPUBufferUsage.UNIFORM){let l=this.freeUniformBuffers.get(s.size)||[];i===void 0||l.length>=i?s.destroy():l.push(s)}else s.destroy()}this.buffersPending=[]}else{let s=this.capturedPendingBuffers.get(this.backend.currentSessionId);s||(s=[],this.capturedPendingBuffers.set(this.backend.currentSessionId,s));for(let i of this.buffersPending)s.push(i);this.buffersPending=[]}}dispose(){this.freeBuffers.forEach(s=>{s.forEach(i=>{i.destroy()})}),this.freeUniformBuffers.forEach(s=>{s.forEach(i=>{i.destroy()})}),this.storageCache.forEach(s=>{s.gpuData.buffer.destroy()}),this.capturedPendingBuffers.forEach(s=>{s.forEach(i=>{i.destroy()})}),this.storageCache=new Map,this.freeBuffers=new Map,this.freeUniformBuffers=new Map,this.capturedPendingBuffers=new Map}onCreateSession(){this.sessionCount+=1}onReleaseSession(s){let i=this.capturedPendingBuffers.get(s);i&&(i.forEach(l=>{l.destroy()}),this.capturedPendingBuffers.delete(s)),this.sessionCount-=1,this.sessionCount===0&&(Tr("warning",()=>"[WebGPU] Clearing webgpu buffer cache"),this.storageCache.forEach(l=>{l.gpuData.buffer.destroy()}),this.storageCache=new Map)}},kr=(...s)=>new tr(...s)}),rn,Gt,mr=c(()=>{rn=class{constructor(s){Object.assign(this,s)}get cacheKey(){return this.key||(this.key=Object.getOwnPropertyNames(this).sort().map(s=>`${this[s]}`).join(";")),this.key}},Gt=s=>new rn(s)}),On,mn,ze,xn,Cs,Xr,yn,jt=c(()=>{On=class{static calcMatMulShape(s,i){return s[1]!==i[0]?void 0:[s[0],i[1]]}},mn=class{static calcShape(s,i,l=!1){let f=s.length,p=i.length;if(f===0)return i;if(p===0)return s;let g=Math.max(s.length,i.length),m=new Array(g);if(l){if(f<2||p<2)return;let v=On.calcMatMulShape([s[f-2],s[f-1]],[i[p-2],i[p-1]]);if(v===void 0)return;[m[g-2],m[g-1]]=v}for(let v=l?3:1;v<=g;v++){let x=f-v<0?1:s[f-v],P=p-v<0?1:i[p-v];if(x!==P&&x>1&&P>1)return;let D=Math.max(x,P);if(x&&P)m[g-v]=Math.max(x,P);else{if(D>1)return;m[g-v]=0}}return m}static isValidBroadcast(s,i){let l=s.length,f=i.length;if(l>f)return!1;for(let p=1;p<=l;p++)if(s[l-p]!==1&&s[l-p]!==i[f-p])return!1;return!0}},ze=class qm{static size(i){return qm.getSizeFromDimensionRange(i,0,i.length)}static convertShape(i,l=4){let f=i.length;if(f===0)return[];let p=new Array(f),g=f-1;for(;g>=0;){if(i[g]%l===0){p[g]=i[g]/l;break}if(l%i[g]!==0)throw new Error("cannot convert shape");p[g]=1,l/=i[g],g--}for(g--;g>=0;g--)p[g]=i[g];return p}static sizeFromDimension(i,l){if(l<0||l>i.length)throw new Error(`invalid dimension of ${l} for sizeFromDimension as Tensor has ${i.length} dimensions.`);return qm.getSizeFromDimensionRange(i,l,i.length)}static sizeToDimension(i,l){if(l<0||l>i.length)throw new Error(`invalid dimension of ${l} for sizeToDimension as Tensor has ${i.length} dimensions.`);return qm.getSizeFromDimensionRange(i,0,l)}static getSizeFromDimensionRange(i,l,f){let p=1;for(let g=l;g<f;g++){if(i[g]<0)throw new Error("cannot get valid size from specified dimension range. Most likely the range contains negative values in them.");p*=Number(i[g])}return p}static computeStrides(i){let l=i.length;if(l===0)return[];if(l===1)return[1];let f=new Array(l);f[l-1]=1,f[l-2]=i[l-1];for(let p=l-3;p>=0;--p)f[p]=f[p+1]*i[p+1];return f}static normalizeAxis(i,l){if(i<-l&&i>=l)throw new Error("unsupported axis for this operation.");return i<0?i+l:i}static normalizeAxes(i,l){return i.map(f=>this.normalizeAxis(f,l??i.length))}static sortBasedOnPerm(i,l){return l?l.map(f=>i[f]):i.slice().reverse()}static padShape(i,l){let f=i.length;return i.map((p,g)=>p+l[g]+l[g+f])}static areEqual(i,l){return i.length!==l.length?!1:i.every((f,p)=>f===l[p])}},xn=class ep{static adjustPoolAttributes(i,l,f,p,g,m){if(!i&&f.length!==l.length-2)throw new Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(i)for(let v=0;v<l.length-2;v++)v>=f.length?f.push(l[v+2]):f[v]=l[v+2];for(let v=0;v<f.length;v++)if(v<p.length){if(p[v]<0)throw new Error("strides should be greater than or equal to 1")}else p.push(1);for(let v=0;v<f.length;v++)if(v<g.length){if(g[v]<0)throw new Error("dilations should be greater than or equal to 1")}else g.push(1);for(let v=0;v<f.length*2;v++)if(v<m.length){if(m[v]<0)throw new Error("pad should be greater than or equal to 1")}else m.push(0);for(let v=0;v<f.length;v++){if(f[v]<=0)throw new Error("kernel shapes need to be greater than 0");if(m[v]>=f[v]||m[v+f.length]>=f[v])throw new Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(i,l,f,p,g,m,v){if(v){if(g.length!==2*(i.length-2))throw new Error("length of pads should be twice the length of data dimensions");if(l.length!==i.length-2)throw new Error("length of strides should be the length of data dimensions");if(p.length!==i.length-2)throw new Error("length of kernel shapes should be the length of data dimensions");for(let x=0;x<i.length-2;x++)ep.adjustPadAndReturnShape(i[x+(m?1:2)],l[x],f[x],p[x],g,x,x+i.length-2,v)}}static computePoolOutputShape(i,l,f,p,g,m,v){if(l.length<=0)throw new Error("input shape must be of size greater than 0");let x=[l[0],l[1]];return ep.computeShapeHelper(i,l,x,f,p,g,m,v),x}static computeConvOutputShape(i,l,f,p,g,m,v){if(i.length<=0||l.length<=0)throw new Error("invalid input tensor dims or invalid filter tensor dims");let x=[i[0],l[0]];return ep.computeShapeHelper(!1,i,x,f,p,g,m,v),x}static computeShapeHelper(i,l,f,p,g,m,v,x){if(i)for(let P=0;P<l.length-2;P++)f.push(1);else for(let P=0;P<l.length-2;P++)f.push(ep.adjustPadAndReturnShape(l[P+2],p[P],g[P],m[P],v,P,P+l.length-2,x))}static adjustPadAndReturnShape(i,l,f,p,g,m,v,x){let P=f*(p-1)+1;if(x&&x!=="NOTSET")switch(x){case"VALID":return g[m]=0,g[v]=0,Math.floor((i-P)/l+1);case"SAME_LOWER":case"SAME_UPPER":if(f!==1)throw new Error("Dilation not supported for SAME_UPPER or SAME_LOWER");{let D=((i+l-1)/l-1)*l+p-i;return g[m]=Math.floor(x==="SAME_LOWER"?(D+1)/2:D/2),g[v]=D-g[m],Math.floor((i+D-p)/l+1)}default:throw new Error("Unsupported AutoPad type")}else return Math.floor((i+g[m]+g[v]-P)/l+1)}},Cs=class{static getShapeOfGemmResult(s,i,l,f,p){if(s.length!==2||l.length!==2)throw new Error("shape need to be of size 2");let g,m,v;i?(g=s[1],m=s[0]):(g=s[0],m=s[1]);let x=-1;if(f?(v=l[0],x=1):(v=l[1],x=0),l[x]!==m)throw new Error("dimension mismatch");if(g<=0||v<=0||m<=0)throw new Error("invalid shape specified");if(p&&!mn.isValidBroadcast(p,[g,v]))throw new Error("gemm: invalid bias shape for broadcast");return[g,v,m]}},Xr=-34028234663852886e22,yn=34028234663852886e22}),Nn,ns,Ir,Qr,xt,sr,sn,Jr,_n,Ft,ua,Qe,Dt,Hl,Co,Kl,ql,or=c(()=>{Wt(),jt(),Nn=64,ns=(s,i)=>{if(i===3)throw new Error("vec3 has same alignment as vec4, use vec4 instead");switch(Number(s)){case 10:return i>1?`vec${i}<f16>`:"f16";case 1:return i>1?`vec${i}<f32>`:"f32";case 6:return i>1?`vec${i}<i32>`:"i32";case 12:return i>1?`vec${i}<u32>`:"u32";case 7:if(i>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","i32"];case 13:if(i>1)throw new Error("currently not supported vecX of uint64 yet");return["vec2<u32>","u32"];case 9:if(i!==4)throw new Error("bool must be vec4");return["u32","vec4<bool>"];case 22:return"i32";case 21:return"u32";default:throw new Error(`Unknown data type: ${s}`)}},Ir=(s,i=1)=>{let l=ns(s,i);return typeof l=="string"?l:l[0]},Qr=(s,i=1)=>{let l=ns(s,i);return typeof l=="string"?l:l[1]},xt=(...s)=>{let i=[];return s.forEach(l=>{l.length!==0&&i.push({type:12,data:l},{type:12,data:ze.computeStrides(l)})}),i},sr=s=>s%4===0?4:s%2===0?2:1,sn=(s="f32",i,l="0")=>!i||i===1?`${s}(${l})`:`vec${i}<${s}>(${l})`,Jr=(s,i,l)=>s==="f32"?l:i===1?`f32(${l})`:`vec${i}<f32>(${l})`,_n=(s,i)=>i===4?`(${s}.x + ${s}.y + ${s}.z + ${s}.w)`:i===2?`(${s}.x + ${s}.y)`:i===3?`(${s}.x + ${s}.y + ${s}.z)`:s,Ft=(s,i,l,f)=>s.startsWith("uniforms.")&&l>4?typeof i=="string"?f==="f16"?`${s}[(${i}) / 8][(${i}) % 8 / 4][(${i}) % 8 % 4]`:`${s}[(${i}) / 4][(${i}) % 4]`:f==="f16"?`${s}[${Math.floor(i/8)}][${Math.floor(i%8/4)}][${i%8%4}]`:`${s}[${Math.floor(i/4)}][${i%4}]`:l>1?`${s}[${i}]`:s,ua=(s,i,l,f,p)=>{let g=typeof l=="number",m=g?l:l.length,v=[...new Array(m).keys()],x=m<2?"u32":m<=4?`vec${m}<u32>`:`array<u32, ${m}>`,P=ns(i,p),D=typeof P=="string"?P:P[1],R=typeof P=="string"?P:P[0],E={indices:x,value:D,storage:R,tensor:i},K=ut=>typeof ut=="string"?ut:`${ut}u`,q={offsetToIndices:!1,indicesToOffset:!1,broadcastedIndicesToOffset:!1,set:!1,setByIndices:!1,get:!1,getByIndices:!1},Y=g?"uniforms.":"",ne=`${Y}${s}_shape`,se=`${Y}${s}_strides`,te="";for(let ut=0;ut<m-1;ut++)te+=`
    let dim${ut} = current / ${Ft(se,ut,m)};
    let rest${ut} = current % ${Ft(se,ut,m)};
    indices[${ut}] = dim${ut};
    current = rest${ut};
    `;te+=`indices[${m-1}] = current;`;let ye=m<2?"":`
  fn o2i_${s}(offset: u32) -> ${E.indices} {
    var indices: ${E.indices};
    var current = offset;
    ${te}
    return indices;
  }`,be=ut=>(q.offsetToIndices=!0,m<2?ut:`o2i_${s}(${ut})`),Ce=[];if(m>=2)for(let ut=m-1;ut>=0;ut--)Ce.push(`${Ft(se,ut,m)} * (indices[${ut}])`);let Be=m<2?"":`
  fn i2o_${s}(indices: ${E.indices}) -> u32 {
    return ${Ce.join("+")};
  }`,je=ut=>(q.indicesToOffset=!0,m<2?ut:`i2o_${s}(${ut})`),tt=(...ut)=>m===0?"0u":`${E.indices}(${ut.map(K).join(",")})`,lt=(ut,It)=>m<2?`${ut}`:`${Ft(ut,It,m)}`,kt=(ut,It,Sr)=>m<2?`${ut}=${Sr};`:`${Ft(ut,It,m)}=${Sr};`,ir={},cr=(ut,It)=>{q.broadcastedIndicesToOffset=!0;let Sr=`${It.name}broadcastedIndicesTo${s}Offset`;if(Sr in ir)return`${Sr}(${ut})`;let ln=[];for(let ls=m-1;ls>=0;ls--){let Pn=It.indicesGet("outputIndices",ls+It.rank-m);ln.push(`${lt(se,ls)} * (${Pn} % ${lt(ne,ls)})`)}return ir[Sr]=`fn ${Sr}(outputIndices: ${It.type.indices}) -> u32 {
             return ${ln.length>0?ln.join("+"):"0u"};
           }`,`${Sr}(${ut})`},Pt=(ut,It)=>(()=>{if(E.storage===E.value)return`${s}[${ut}]=${It};`;if(E.storage==="vec2<u32>"&&E.value==="i32")return`${s}[${ut}]=vec2<u32>(u32(${It}), select(0u, 0xFFFFFFFFu, ${It} < 0));`;if(E.storage==="vec2<u32>"&&E.value==="u32")return`${s}[${ut}]=vec2<u32>(u32(${It}), 0u);`;if(E.storage==="u32"&&E.value==="vec4<bool>")return`${s}[${ut}]=dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(${It}));`;throw new Error(`not supported combination of storage type ${E.storage} and value type ${E.value} yet`)})(),pr=ut=>(()=>{if(E.storage===E.value)return`${s}[${ut}]`;if(E.storage==="vec2<u32>"&&E.value==="i32")return`i32(${s}[${ut}].x)`;if(E.storage==="vec2<u32>"&&E.value==="u32")return`u32(${s}[${ut}].x)`;if(E.storage==="u32"&&E.value==="vec4<bool>")return`vec4<bool>(bool(${s}[${ut}] & 0xFFu), bool(${s}[${ut}] & 0xFF00u), bool(${s}[${ut}] & 0xFF0000u), bool(${s}[${ut}] & 0xFF000000u))`;throw new Error(`not supported combination of storage type ${E.storage} and value type ${E.value} yet`)})(),Rt=m<2?"":`
  fn get_${s}ByIndices(indices: ${E.indices}) -> ${D} {
    return ${pr(`i2o_${s}(indices)`)};
  }`,zt=m<2?"":(()=>{let ut=v.map(Sr=>`d${Sr}: u32`).join(", "),It=v.map(Sr=>`d${Sr}`).join(", ");return`
  fn get_${s}(${ut}) -> ${D} {
    return get_${s}ByIndices(${tt(It)});
  }`})(),Br=(...ut)=>{if(ut.length!==m)throw new Error(`indices length must be ${m}`);let It=ut.map(K).join(",");return m===0?pr("0u"):m===1?pr(It[0]):(q.get=!0,q.getByIndices=!0,q.indicesToOffset=!0,`get_${s}(${It})`)},rr=ut=>m<2?pr(ut):(q.getByIndices=!0,q.indicesToOffset=!0,`get_${s}ByIndices(${ut})`),Kt=m<2?"":`
  fn set_${s}ByIndices(indices: ${E.indices}, value: ${D}) {
    ${Pt(`i2o_${s}(indices)`,"value")}
  }`,Or=m<2?"":(()=>{let ut=v.map(Sr=>`d${Sr}: u32`).join(", "),It=v.map(Sr=>`d${Sr}`).join(", ");return`
  fn set_${s}(${ut}, value: ${D}) {
    set_${s}ByIndices(${tt(It)}, value);
  }`})();return{impl:()=>{let ut=[],It=!1;return q.offsetToIndices&&(ut.push(ye),It=!0),q.indicesToOffset&&(ut.push(Be),It=!0),q.broadcastedIndicesToOffset&&(Object.values(ir).forEach(Sr=>ut.push(Sr)),It=!0),q.set&&(ut.push(Or),It=!0),q.setByIndices&&(ut.push(Kt),It=!0),q.get&&(ut.push(zt),It=!0),q.getByIndices&&(ut.push(Rt),It=!0),!g&&It&&ut.unshift(`const ${ne} = ${E.indices}(${l.join(",")});`,`const ${se} = ${E.indices}(${ze.computeStrides(l).join(",")});`),ut.join(`
`)},type:E,offsetToIndices:be,indicesToOffset:je,broadcastedIndicesToOffset:cr,indices:tt,indicesGet:lt,indicesSet:kt,set:(...ut)=>{if(ut.length!==m+1)throw new Error(`indices length must be ${m}`);let It=ut[m];if(typeof It!="string")throw new Error("value must be string");let Sr=ut.slice(0,m).map(K).join(",");return m===0?Pt("0u",It):m===1?Pt(Sr[0],It):(q.set=!0,q.setByIndices=!0,q.indicesToOffset=!0,`set_${s}(${Sr}, ${It})`)},setByOffset:Pt,setByIndices:(ut,It)=>m<2?Pt(ut,It):(q.setByIndices=!0,q.indicesToOffset=!0,`set_${s}ByIndices(${ut}, ${It});`),get:Br,getByOffset:pr,getByIndices:rr,usage:f,name:s,strides:se,shape:ne,rank:m}},Qe=(s,i,l,f=1)=>ua(s,i,l,"input",f),Dt=(s,i,l,f=1)=>ua(s,i,l,"output",f),Hl=(s,i,l)=>ua(s,i,l,"atomicOutput",1),Co=(s,i,l,f=1)=>ua(s,i,l,"internal",f),Kl=class{constructor(s,i){this.normalizedDispatchGroup=s,this.limits=i,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(s){return`if (global_idx >= ${typeof s=="number"?`${s}u`:s}) { return; }`}mainStart(s=Nn){let i=typeof s=="number"?s:s[0],l=typeof s=="number"?1:s[1],f=typeof s=="number"?1:s[2];if(i>this.limits.maxComputeWorkgroupSizeX||l>this.limits.maxComputeWorkgroupSizeY||f>this.limits.maxComputeWorkgroupSizeZ)throw new Error(`workgroup size [${i}, ${l}, ${f}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(i*l*f>this.limits.maxComputeInvocationsPerWorkgroup)throw new Error(`workgroup size [${i}, ${l}, ${f}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let p=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,g=p?`@builtin(global_invocation_id) global_id : vec3<u32>,
    @builtin(workgroup_id) workgroup_id : vec3<u32>,
    @builtin(local_invocation_index) local_idx : u32,
    @builtin(local_invocation_id) local_id : vec3<u32>`:`@builtin(global_invocation_id) global_id : vec3<u32>,
                                             @builtin(local_invocation_id) local_id : vec3<u32>,
    @builtin(local_invocation_index) local_idx : u32,
    @builtin(workgroup_id) workgroup_id : vec3<u32>,
    @builtin(num_workgroups) num_workgroups : vec3<u32>`,m=p?`let global_idx = global_id.x;
         let workgroup_index = workgroup_id.x;`:`let workgroup_index = workgroup_id.z * num_workgroups[0] * num_workgroups[1] +
             workgroup_id.y * num_workgroups[0] + workgroup_id.x;
         let global_idx = workgroup_index * ${i*l*f}u + local_idx;`;return`@compute @workgroup_size(${i}, ${l}, ${f})
  fn main(${g}) {
    ${m}
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    let stride = (uniforms.output_shape[1] - 1) / ${q} + 1;
    let workgroup_id_x = workgroup_index % stride;
    let workgroup_id_y = workgroup_index / stride;
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    let output_row = workgroup_id_y * ${q}u + local_id.y;
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    }
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  ${Yl(p,f,Y,ne)}

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

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          var<workgroup> aBestValues : array<f32, ${E}>;
       `,q=Y=>`
        ${Y.registerUniform("reduceSize","u32").declareVariables(D,R)}
        ${K}
        fn DIV_CEIL(a : u32, b : u32) -> u32 {
          return ((a - 1u) / b + 1u);
         }
         ${Y.mainStart(E)}

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

          var bestValue = f32(${ec[f]});
          let Length = uniforms.reduceSize;
          for (var k = local_idx; k < Length; k = k + ${E}) {
           let candidate = f32(${D.getByOffset("offset + k")});
           bestValue = ${Li[f]};
          }
          aBestValues[local_idx] = bestValue;
          workgroupBarrier();

         var reduceSize = min(Length, ${E}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 = ${Jl[f]};
            aBestValues[local_idx] = bestValue;
           }
           reduceSize = interval;
           workgroupBarrier();
         }

         if (local_idx == 0u) {
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         }
        }`;return{name:s,shaderCache:{hint:`${i};${E}`,inputDependencies:["type"]},getShaderSource:q,getRunData:()=>({outputs:[{dims:g,dataType:p}],dispatchGroup:{x},programUniforms:[{type:12,data:P}]})}},Zn=(s,i,l,f)=>{let p=s.inputs.length===1?l:Lo(s.inputs,l),g=p.axes;g.length===0&&!p.noopWithEmptyAxes&&(g=s.inputs[0].dims.map((K,q)=>q));let m=ze.normalizeAxes(g,s.inputs[0].dims.length),v=m,x=s.inputs[0],P=$o(v,s.inputs[0].dims.length);P.length>0&&(x=s.compute(qn(s.inputs[0],P),{inputs:[0],outputs:[-1]})[0],v=rc(v.length,x.dims.length));let[D,R]=nc(x.dims,v),E=D;p.keepDims&&(E=sc(D,m)),s.compute(ic(i,p.cacheKey,[x],f,s.inputs[0].dataType,E,R),{inputs:[x]})},la=(s,i)=>{Zn(s,"ReduceMeanShared",i,"mean")},oc=(s,i)=>{Zn(s,"ReduceL1Shared",i,"l1")},Bp=(s,i)=>{Zn(s,"ReduceL2Shared",i,"l2")},uc=(s,i)=>{Zn(s,"ReduceLogSumExpShared",i,"logSumExp")},jp=(s,i)=>{Zn(s,"ReduceMaxShared",i,"max")},lc=(s,i)=>{Zn(s,"ReduceMinShared",i,"min")},Oo=(s,i)=>{Zn(s,"ReduceProdShared",i,"prod")},cc=(s,i)=>{Zn(s,"ReduceSumShared",i,"sum")},dc=(s,i)=>{Zn(s,"ReduceSumSquareShared",i,"sumSquare")},hc=(s,i)=>{Zn(s,"ReduceLogSumShared",i,"logSum")}}),ss,Ri,Fi,Lo,as,Ro,fc,pc,Fo,mc,_c,No,gc,bc,Do,is,yc,Bo,wc,vc,jo,Ec,Tc,zo,xc,Mc,Ni=c(()=>{Wt(),jt(),mr(),or(),zp(),ss=s=>{if(!s||s.length===0||s.length>2)throw new Error("Reduce op requires 1 or 2 inputs.");if(s.length===2&&s[1].dims.length!==1)throw new Error("Invalid axes input dims.")},Ri=s=>["","",`var value = ${s.getByIndices("input_indices")};`,""],Fi=(s,i,l,f,p,g,m=!1,v=!1)=>{let x=[],P=l[0].dims,D=P.length,R=ze.normalizeAxes(p,D),E=!v&&R.length===0;P.forEach((Y,ne)=>{E||R.indexOf(ne)>=0?m&&x.push(1):x.push(Y)});let K=x.length,q=ze.size(x);return{name:s,shaderCache:i,getShaderSource:Y=>{let ne=[],se=Qe("_A",l[0].dataType,D),te=Dt("output",g,K),ye=f(se,te,R),be=ye[2];for(let Ce=0,Be=0;Ce<D;Ce++)E||R.indexOf(Ce)>=0?(m&&Be++,be=`for(var j${Ce}: u32 = 0; j${Ce} < ${P[Ce]}; j${Ce}++) {
                  ${ye[2].includes("last_index")?`let last_index = j${Ce};`:""}
                  ${se.indicesSet("input_indices",Ce,`j${Ce}`)}
                  ${be}
                }`):(ne.push(`${se.indicesSet("input_indices",Ce,te.indicesGet("output_indices",Be))};`),Be++);return`

        ${Y.registerUniform("output_size","u32").declareVariables(se,te)}

        ${Y.mainStart()}
          ${Y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          var input_indices: ${se.type.indices};
          let output_indices = ${te.offsetToIndices("global_idx")};

          ${ne.join(`
`)}
          ${ye[0]}       // init ops for reduce max/min
          ${ye[1]}
          ${be}
          ${ye[3]}
          ${ye.length===4?te.setByOffset("global_idx","value"):ye.slice(4).join(`
`)}
        }`},getRunData:()=>({outputs:[{dims:x,dataType:g}],dispatchGroup:{x:Math.ceil(q/64)},programUniforms:[{type:12,data:q},...xt(P,x)]})}},Lo=(s,i)=>{let l=[];return s[1].dims[0]>0&&s[1].getBigInt64Array().forEach(f=>l.push(Number(f))),Gt({axes:l,keepDims:i.keepDims,noopWithEmptyAxes:i.noopWithEmptyAxes})},as=(s,i,l,f)=>{let p=s.inputs,g=p.length===1?l:Lo(p,l);s.compute(Fi(i,{hint:g.cacheKey,inputDependencies:["rank"]},[p[0]],g.noopWithEmptyAxes&&g.axes.length===0?Ri:f,g.axes,p[0].dataType,g.keepDims,g.noopWithEmptyAxes),{inputs:[0]})},Ro=(s,i)=>{ss(s.inputs),as(s,"ReduceLogSum",i,(l,f)=>[`var value = ${f.type.storage}(0);`,"",`value += ${l.getByIndices("input_indices")};`,"value = log(value);"])},fc=(s,i)=>{ss(s.inputs),as(s,"ReduceL1",i,(l,f)=>[`var value = ${f.type.storage}(0);`,"",`value += abs(${l.getByIndices("input_indices")});`,""])},pc=(s,i)=>{ss(s.inputs),as(s,"ReduceL2",i,(l,f)=>[`var t = ${f.type.value}(0); var value = ${f.type.value}(0);`,"",`t = ${l.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},Fo=(s,i)=>{ss(s.inputs),as(s,"ReduceLogSumExp",i,(l,f)=>[`var value = ${f.type.storage}(0);`,"",`value += exp(${l.getByIndices("input_indices")});`,"value = log(value);"])},mc=(s,i)=>{ss(s.inputs),as(s,"ReduceMax",i,(l,f,p)=>{let g=[];for(let m=0;m<l.rank;m++)(p.indexOf(m)>=0||p.length===0)&&g.push(l.indicesSet("input_indices",m,0));return[`${g.join(`
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`)}`,`var value = ${f.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${f.getByIndices("input_indices")} ${i.selectLastIndex>0?"<=":"<"} value) {
         value = ${f.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",p.setByOffset("global_idx","best_index")]};s.compute(Fi("ArgMin",{hint:i.cacheKey,inputDependencies:["rank"]},[s.inputs[0]],l,[i.axis],7,i.keepDims),{inputs:[0]})},Vo=(s,i)=>{Uo(s.inputs);let l=(f,p,g)=>{let m=[];for(let v=0;v<f.rank;v++)(g.indexOf(v)>=0||g.length===0)&&m.push(`input_indices[${v}] = 0;`);return[`${m.join(`
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var best_index : i32 = 0;`,`if (${f.getByIndices("input_indices")} ${i.selectLastIndex>0?">=":">"} value) {
         value = ${f.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",p.setByOffset("global_idx","best_index")]};s.compute(Fi("argMax",{hint:i.cacheKey,inputDependencies:["rank"]},[s.inputs[0]],l,[i.axis],7,i.keepDims),{inputs:[0]})},Wo=s=>Gt(s)}),Go,Di,Cc,Ho,Sc,ti,Ko,Ac,qo=c(()=>{Wt(),jt(),fe(),or(),Go=(s,i)=>{let l=s[0],f=s[1],p=s[2],g=s[3],m=s[4],v=s[5];if(m&&v)throw new Error("Attention cannot have both past and attention_bias");if(l.dims.length!==3)throw new Error('Input "input" must have 3 dimensions');let x=l.dims[0],P=l.dims[1],D=l.dims[2];if(p.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimensions');if(f.dims.length!==2)throw new Error('Input "weights" is expected to have 2 dimensions');if(f.dims[0]!==D)throw new Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(p.dims[0]!==f.dims[1])throw new Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let R=p.dims[0]/3,E=R,K=E;if(i.qkvHiddenSizes.length>0){if(i.qkvHiddenSizes.length!==3)throw new Error("qkv_hidden_sizes attribute should have 3 elements");for(let ye of i.qkvHiddenSizes)if(ye%i.numHeads!==0)throw new Error("qkv_hidden_sizes should be divisible by num_heads");R=i.qkvHiddenSizes[0],E=i.qkvHiddenSizes[1],K=i.qkvHiddenSizes[2]}let q=P;if(R!==E)throw new Error("qkv_hidden_sizes first element should be same as the second");if(p.dims[0]!==R+E+K)throw new Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let Y=0;if(m){if(E!==K)throw new Error('Input "past" expect k_hidden_size == v_hidden_size');if(m.dims.length!==5)throw new Error('Input "past" must have 5 dimensions');if(m.dims[0]!==2)throw new Error('Input "past" first dimension must be 2');if(m.dims[1]!==x)throw new Error('Input "past" second dimension must be batch_size');if(m.dims[2]!==i.numHeads)throw new Error('Input "past" third dimension must be num_heads');if(m.dims[4]!==E/i.numHeads)throw new Error('Input "past" fifth dimension must be k_hidden_size / num_heads');i.pastPresentShareBuffer||(Y=m.dims[3])}let ne=q+Y,se=-1,te=0;if(g)throw new Error("Mask not supported");if(m)throw new Error("past is not supported");if(v){if(v.dims.length!==4)throw new Error('Input "attention_bias" must have 4 dimensions');if(v.dims[0]!==x||v.dims[1]!==i.numHeads||v.dims[2]!==P||v.dims[3]!==ne)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:x,sequenceLength:P,pastSequenceLength:Y,kvSequenceLength:q,totalSequenceLength:ne,maxSequenceLength:se,inputHiddenSize:D,hiddenSize:R,vHiddenSize:K,headSize:Math.floor(R/i.numHeads),vHeadSize:Math.floor(K/i.numHeads),numHeads:i.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:i.maskFilterValue,maskType:te,scale:i.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},Di=(s,i,l)=>i&&s?`
      let total_sequence_length_input = u32(${i.getByOffset("0")});
      let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length);
      let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input;
      let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input;
      total_sequence_length = u32(${s==null?void 0:s.getByOffset("batchIdx")}) + 1;
      var past_sequence_length: u32 = 0;
      if (is_first_prompt == false) {
        past_sequence_length = total_sequence_length - sequence_length;
      }
       `:`
    ${l?"let past_sequence_length = uniforms.past_sequence_length":""};
    let present_sequence_length = total_sequence_length;
    `,Cc=(s,i,l,f,p,g,m,v)=>{let x=sr(m?1:g),P=64,D=g/x;D<P&&(P=32);let R=Math.ceil(g/x/P),E=[{type:12,data:i},{type:12,data:l},{type:12,data:f},{type:12,data:p},{type:12,data:D},{type:12,data:R}],K=Ir(s.dataType,x),q=Qr(1,x),Y=["type"];m&&Y.push("type"),v&&Y.push("type");let ne=se=>{let te=Dt("x",s.dataType,s.dims,x),ye=[te],be=m?Qe("seq_lens",m.dataType,m.dims):void 0;be&&ye.push(be);let Ce=v?Qe("total_sequence_length_input",v.dataType,v.dims):void 0;Ce&&ye.push(Ce);let Be=Qr(s.dataType),je=[{name:"batch_size",type:"u32"},{name:"num_heads",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"sequence_length",type:"u32"},{name:"total_sequence_length",type:"u32"},{name:"elements_per_thread",type:"u32"}];return`
  var<workgroup> thread_max: array<f32, ${P}>;
  var<workgroup> thread_sum: array<f32, ${P}>;
  ${se.registerUniforms(je).declareVariables(...ye)}
  ${se.mainStart([P,1,1])}
    let batchIdx = workgroup_id.z / uniforms.num_heads;
    let headIdx = workgroup_id.z % uniforms.num_heads;
    let sequence_length = uniforms.sequence_length;
    var total_sequence_length = uniforms.total_sequence_length;
    ${Di(be,Ce,!1)}
    let local_offset = local_idx * uniforms.elements_per_thread;
    let offset = (global_idx / ${P}) * uniforms.total_sequence_length + local_offset;
    let seq_causal_length = ${m?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"};
    var thread_max_vector = ${q}(-3.402823e+38f);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
      thread_max_vector = max(${q}(x[offset + i]), thread_max_vector);
    }
    thread_max[local_idx] = ${(()=>{switch(x){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: ${x}`)}})()};
    workgroupBarrier();

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

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

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

    if (sum == 0) {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
        x[offset + i] = ${te.type.value}(${Be}(1.0) / ${Be}(seq_causal_length));
      }
    } else {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
        var f32input = ${q}(x[offset + i]);
        x[offset + i] = ${te.type.value}(exp(f32input - max_value) / sum);
      }
    }
      ${m?`
        for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) {
          x[offset + total_seq_id] = ${te.type.value}(${Be}(0));
        }`:""};
  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${P};${K};${x}`,inputDependencies:Y},getShaderSource:ne,getRunData:()=>({outputs:[],dispatchGroup:{x:Math.ceil(g/P),y:p,z:i*l},programUniforms:E})}},Ho=(s,i,l,f,p,g,m,v,x)=>{let P=m+g.kvSequenceLength,D=[g.batchSize,g.numHeads,g.sequenceLength,P],R=s>1&&f,E=g.kvNumHeads?g.kvNumHeads:g.numHeads,K=R?[g.batchSize,E,P,g.headSize]:void 0,q=g.nReps?g.nReps:1,Y=g.scale===0?1/Math.sqrt(g.headSize):g.scale,ne=sr(g.headSize),se=g.headSize/ne,te=12,ye={x:Math.ceil(P/te),y:Math.ceil(g.sequenceLength/te),z:g.batchSize*g.numHeads},be=[{type:12,data:g.sequenceLength},{type:12,data:se},{type:12,data:P},{type:12,data:g.numHeads},{type:12,data:g.headSize},{type:1,data:Y},{type:12,data:m},{type:12,data:g.kvSequenceLength},{type:12,data:q}],Ce=R&&f&&ze.size(f.dims)>0,Be=["type","type"];Ce&&Be.push("type"),p&&Be.push("type"),v&&Be.push("type"),x&&Be.push("type");let je=[{dims:D,dataType:i.dataType,gpuDataType:0}];R&&je.push({dims:K,dataType:i.dataType,gpuDataType:0});let tt=lt=>{let kt=Qe("q",i.dataType,i.dims,ne),ir=Qe("key",l.dataType,l.dims,ne),cr=[kt,ir];if(Ce){let Kt=Qe("past_key",f.dataType,f.dims,ne);cr.push(Kt)}p&&cr.push(Qe("attention_bias",p.dataType,p.dims));let Pt=v?Qe("seq_lens",v.dataType,v.dims):void 0;Pt&&cr.push(Pt);let pr=x?Qe("total_sequence_length_input",x.dataType,x.dims):void 0;pr&&cr.push(pr);let Rt=Dt("output",i.dataType,D),zt=[Rt];R&&zt.push(Dt("present_key",i.dataType,K,ne));let Br=Qr(1,ne),rr=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
  const TILE_SIZE = ${te}u;

  var<workgroup> tileQ: array<${kt.type.storage}, ${te*te}>;
  var<workgroup> tileK: array<${kt.type.storage}, ${te*te}>;
  ${lt.registerUniforms(rr).declareVariables(...cr,...zt)}
  ${lt.mainStart([te,te,1])}
    // x holds the N and y holds the M
    let headIdx = workgroup_id.z % uniforms.num_heads;
    let kvHeadIdx = ${q===1?"headIdx":"headIdx / uniforms.n_reps"};
    let kv_num_heads = ${q===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
    let batchIdx = workgroup_id.z / uniforms.num_heads;
    let m = workgroup_id.y * TILE_SIZE;
    let n = workgroup_id.x * TILE_SIZE;
    let sequence_length = uniforms.M;
    var total_sequence_length = uniforms.N;
    ${Di(Pt,pr,!0)}
    let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;
    let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
    ${Ce&&R?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""};
    let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;
    ${R?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""}
    var value = ${Br}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];
      }
      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
      ${Ce&&R?`
              if (n + local_id.y < past_sequence_length) {
                tileK[idx] = past_key[pastKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
              } else if (n + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
                tileK[idx] = key[kOffset + (n + local_id.y - past_sequence_length) * uniforms.K + w + local_id.x];
              }`:`
          if (n + local_id.y < uniforms.kv_sequence_length) {
            tileK[idx] = key[kOffset + (n + local_id.y) * uniforms.K + w + local_id.x];
          }`}
      ${R?`if (n + local_id.y < present_sequence_length) {
        present_key[presentKeyOffset + (n + local_id.y) * uniforms.K + w + local_id.x] = tileK[idx];
      }`:""}
      }
      workgroupBarrier();

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

      workgroupBarrier();
    }

    if (global_id.y < uniforms.M && global_id.x < total_sequence_length) {
      let headOffset = workgroup_id.z * uniforms.M * uniforms.N;
      let outputIdx = headOffset + global_id.y * uniforms.N + global_id.x;
      var sum: f32 = ${(()=>{switch(ne){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: ${ne}`)}})()};
        output[outputIdx] = ${Rt.type.value} (sum * uniforms.alpha) + ${p?"attention_bias[outputIdx]":"0.0"};
    }
  }`};return{name:"AttentionProbs",shaderCache:{hint:`${ne};${p!==void 0};${f!==void 0};${s}`,inputDependencies:Be},getRunData:()=>({outputs:je,dispatchGroup:ye,programUniforms:be}),getShaderSource:tt}},Sc=(s,i,l,f,p,g,m=void 0,v=void 0)=>{let x=g+p.kvSequenceLength,P=p.nReps?p.nReps:1,D=p.vHiddenSize*P,R=s>1&&f,E=p.kvNumHeads?p.kvNumHeads:p.numHeads,K=R?[p.batchSize,E,x,p.headSize]:void 0,q=[p.batchSize,p.sequenceLength,D],Y=12,ne={x:Math.ceil(p.vHeadSize/Y),y:Math.ceil(p.sequenceLength/Y),z:p.batchSize*p.numHeads},se=[{type:12,data:p.sequenceLength},{type:12,data:x},{type:12,data:p.vHeadSize},{type:12,data:p.numHeads},{type:12,data:p.headSize},{type:12,data:D},{type:12,data:g},{type:12,data:p.kvSequenceLength},{type:12,data:P}],te=R&&f&&ze.size(f.dims)>0,ye=["type","type"];te&&ye.push("type"),m&&ye.push("type"),v&&ye.push("type");let be=[{dims:q,dataType:i.dataType,gpuDataType:0}];R&&be.push({dims:K,dataType:i.dataType,gpuDataType:0});let Ce=Be=>{let je=Qe("probs",i.dataType,i.dims),tt=Qe("v",l.dataType,l.dims),lt=[je,tt];te&&lt.push(Qe("past_value",f.dataType,f.dims));let kt=m?Qe("seq_lens",m.dataType,m.dims):void 0;m&&lt.push(kt);let ir=v?Qe("total_sequence_length_input",v.dataType,v.dims):void 0;v&&lt.push(ir);let cr=[Dt("output",i.dataType,q)];R&&cr.push(Dt("present_value",i.dataType,K));let Pt=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"v_hidden_size",type:"u32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
  const TILE_SIZE = ${Y}u;
  var<workgroup> tileQ: array<${je.type.value}, ${Y*Y}>;
  var<workgroup> tileV: array<${je.type.value}, ${Y*Y}>;
  ${Be.registerUniforms(Pt).declareVariables(...lt,...cr)}
  ${Be.mainStart([Y,Y,1])}
   let headIdx = workgroup_id.z % uniforms.num_heads;
   let batchIdx = workgroup_id.z / uniforms.num_heads;
   let kvHeadIdx = ${P===1?"headIdx":"headIdx / uniforms.n_reps"};
   let kv_num_heads = ${P===1?"uniforms.num_heads":"uniforms.num_heads / uniforms.n_reps"};
   let m = global_id.y;
   let n = global_id.x;
   let sequence_length = uniforms.M;
   var total_sequence_length = uniforms.K;
   ${Di(kt,ir,!0)}
   let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
   let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch
   ${te&&R?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""};
   let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;
   ${R?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""}
   var value = ${je.type.storage}(0);
   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
        ${te&&R?`
        if (w + local_id.y < past_sequence_length) {
          tileV[idx] = past_value[pastValueOffset + (w + local_id.y) * uniforms.N];
        } else if (w + local_id.y - past_sequence_length < uniforms.kv_sequence_length) {
          tileV[idx] = v[vOffset + (w + local_id.y - past_sequence_length) * uniforms.N];
        }
      `:`
            if (w + local_id.y < uniforms.kv_sequence_length) {
              tileV[idx] = v[vOffset + (w + local_id.y) * uniforms.N];
            }`}
        ${R?`
            if (w + local_id.y < present_sequence_length) {
          present_value[presentValueOffset + (w + local_id.y) * uniforms.N] = tileV[idx];
        }`:""}
      }
     workgroupBarrier();
     for (var k: u32 = 0u; k < TILE_SIZE && w+k < total_sequence_length; k++) {
       value += tileQ[TILE_SIZE * local_id.y + k] * tileV[TILE_SIZE * k + local_id.x];
     }
     workgroupBarrier();
   }

   // we need to transpose output from BNSH_v to BSND_v
   if (m < uniforms.M && n < uniforms.N) {
     let outputIdx = batchIdx * uniforms.M * uniforms.v_hidden_size + m * uniforms.v_hidden_size
       + headIdx * uniforms.N + n;
     output[outputIdx] = value;
   }
  }`};return{name:"AttentionScore",shaderCache:{hint:`${f!==void 0};${s}`,inputDependencies:ye},getRunData:()=>({outputs:be,dispatchGroup:ne,programUniforms:se}),getShaderSource:Ce}},ti=(s,i,l,f,p,g,m,v,x,P,D=void 0,R=void 0)=>{let E=Math.min(s.outputCount,1+(m?1:0)+(v?1:0)),K=E>1?P.pastSequenceLength:0,q=K+P.kvSequenceLength,Y=x&&ze.size(x.dims)>0?x:void 0,ne=[i,l];E>1&&m&&ze.size(m.dims)>0&&ne.push(m),Y&&ne.push(Y),D&&ne.push(D),R&&ne.push(R);let se=s.compute(Ho(E,i,l,m,Y,P,K,D,R),{inputs:ne,outputs:E>1?[-1,1]:[-1]})[0];s.compute(Cc(se,P.batchSize,P.numHeads,K,P.sequenceLength,q,D,R),{inputs:D&&R?[se,D,R]:[se],outputs:[]});let te=[se,f];E>1&&v&&ze.size(v.dims)>0&&te.push(v),D&&te.push(D),R&&te.push(R),s.compute(Sc(E,se,f,v,P,K,D,R),{inputs:te,outputs:E>1?[0,2]:[0]})},Ko=(s,i)=>{let l=[i.batchSize,i.numHeads,i.sequenceLength,i.headSize],f=i.sequenceLength,p=i.inputHiddenSize,g=i.headSize,m=12,v={x:Math.ceil(i.headSize/m),y:Math.ceil(i.sequenceLength/m),z:i.batchSize*i.numHeads},x=[s.inputs[0],s.inputs[1],s.inputs[2]],P=[{type:12,data:f},{type:12,data:p},{type:12,data:g},{type:12,data:i.numHeads},{type:12,data:i.headSize},{type:12,data:i.hiddenSize},{type:12,data:i.hiddenSize+i.hiddenSize+i.vHiddenSize}],D=R=>{let E=Dt("output_q",x[0].dataType,l),K=Dt("output_k",x[0].dataType,l),q=Dt("output_v",x[0].dataType,l),Y=Qe("input",x[0].dataType,x[0].dims),ne=Qe("weight",x[1].dataType,x[1].dims),se=Qe("bias",x[2].dataType,x[2].dims),te=Y.type.storage,ye=[{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 = ${m}u;
  var<workgroup> tileInput: array<${te}, ${m*m}>;
  var<workgroup> tileWeightQ: array<${te}, ${m*m}>;
  var<workgroup> tileWeightK: array<${te}, ${m*m}>;
  var<workgroup> tileWeightV: array<${te}, ${m*m}>;
  ${R.registerUniforms(ye).declareVariables(Y,ne,se,E,K,q)}
  ${R.mainStart([m,m,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 = ${te}(0);
    var valueK = ${te}(0);
    var valueV = ${te}(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 s.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:l,dataType:s.inputs[0].dataType,gpuDataType:0},{dims:l,dataType:s.inputs[0].dataType,gpuDataType:0},{dims:l,dataType:s.inputs[0].dataType,gpuDataType:0}],dispatchGroup:v,programUniforms:P}),getShaderSource:D},{inputs:x,outputs:[-1,-1,-1]})},Ac=(s,i)=>{let l=Go(s.inputs,i),[f,p,g]=Ko(s,l);return ti(s,f,p,g,s.inputs[4],void 0,void 0,void 0,s.inputs[5],l)}}),Zo,kc,Ic,Yo,Vp=c(()=>{Ze(),Wt(),jt(),mr(),or(),Zo=(s,i)=>{if(!s||s.length!==5)throw new Error("BatchNormalization requires 5 inputs");let l=(f,p,g)=>{let m=p.length;if(m!==f.length)throw new Error(`${g}: num dimensions != ${m}`);p.forEach((v,x)=>{if(v!==f[x])throw new Error(`${g}: dim[${x}] do not match`)})};if(s[0].dims.length>1){let f=i.format==="NHWC"?i.spatial?s[0].dims.slice(-1):s[0].dims.slice(-1).concat(s[0].dims.slice(1,s[0].dims.length-1)):s[0].dims.slice(1,i.spatial?2:void 0);l(s[1].dims,f,"Invalid input scale"),l(s[2].dims,f,"Invalid input B"),l(s[3].dims,f,"Invalid input mean"),l(s[4].dims,f,"Invalid input var")}else l(s[1].dims,[1],"Invalid input scale"),l(s[2].dims,[1],"Invalid input B"),l(s[3].dims,[1],"Invalid input mean"),l(s[4].dims,[1],"Invalid input var")},kc=(s,i)=>{let{epsilon:l,spatial:f,format:p}=i,g=s[0].dims,m=f?sr(g[g.length-1]):1,v=p==="NHWC"&&g.length>1?m:1,x=ze.size(g)/m,P=f,D=P?g.length:g,R=Qe("x",s[0].dataType,s[0].dims,m),E=Qe("scale",s[1].dataType,s[1].dims,v),K=Qe("bias",s[2].dataType,s[2].dims,v),q=Qe("inputMean",s[3].dataType,s[3].dims,v),Y=Qe("inputVar",s[4].dataType,s[4].dims,v),ne=Dt("y",s[0].dataType,D,m),se=()=>{let ye="";if(f)ye=`let cOffset = ${g.length===1?"0u":p==="NHWC"?`outputIndices[${g.length-1}] / ${m}`:"outputIndices[1]"};`;else if(p==="NCHW")ye=`
            ${ne.indicesSet("outputIndices","0","0")}
            let cOffset = ${ne.indicesToOffset("outputIndices")};`;else{ye=`var cIndices = ${E.type.indices}(0);
                       cIndices[0] = outputIndices[${g.length-1}];`;for(let be=1;be<E.rank;be++)ye+=`cIndices[${be}] = outputIndices[${be}];`;ye+=`let cOffset = ${E.indicesToOffset("cIndices")};`}return ye},te=ye=>`
  const epsilon = ${l};
  ${ye.registerUniform("outputSize","u32").declareVariables(R,E,K,q,Y,ne)}
  ${ye.mainStart()}
  ${ye.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
    var outputIndices = ${ne.offsetToIndices(`global_idx * ${m}`)};
    ${se()}
    let scale = ${E.getByOffset("cOffset")};
    let bias = ${K.getByOffset("cOffset")};
    let inputMean = ${q.getByOffset("cOffset")};
    let inputVar = ${Y.getByOffset("cOffset")};
    let x = ${R.getByOffset("global_idx")};
    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
    ${ne.setByOffset("global_idx","value")}
  }`;return{name:"BatchNormalization",shaderCache:{hint:`${i.epsilon}_${i.format}_${f}_${m}`,inputDependencies:P?["rank","type","type","type","type"]:void 0},getShaderSource:te,getRunData:()=>({outputs:[{dims:s[0].dims,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(x/64)},programUniforms:P?[{type:12,data:x},...xt(g)]:[{type:12,data:x}]})}},Ic=s=>Gt(s),Yo=(s,i)=>{let{inputs:l,outputCount:f}=s,p=Ic({...i,outputCount:f});if(j.webgpu.validateInputContent&&Zo(l,p),i.trainingMode)throw new Error("BatchNormalization trainingMode is not supported yet.");s.compute(kc(l,p))}}),$c,Xo,Oc,Wp=c(()=>{jt(),or(),$c=s=>{if(s[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![320,640,1280].includes(s[0].dims[2]))throw new Error("number of channels should be 320, 640 or 1280");if(s[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(s[0].dims[2]!==s[1].dims[0])throw new Error("last dimension of input and bias are not the same")},Xo=s=>{let i=s[0].dims,l=s[0].dims[2],f=ze.size(i)/4,p=s[0].dataType,g=Qe("input",p,i,4),m=Qe("bias",p,[l],4),v=Qe("residual",p,i,4),x=Dt("output",p,i,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:i,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(f/64)}}),getShaderSource:P=>`
  const channels = ${l}u / 4;
  ${P.declareVariables(g,m,v,x)}

  ${P.mainStart()}
    ${P.guardAgainstOutOfBoundsWorkgroupSizes(f)}
    let value = ${g.getByOffset("global_idx")}
      + ${m.getByOffset("global_idx % channels")} + ${v.getByOffset("global_idx")};
    ${x.setByOffset("global_idx","value")}
  }`}},Oc=s=>{$c(s.inputs),s.compute(Xo(s.inputs))}}),Qo,Cr,Lc,Jo,Rc,Fc,eu,Nc,Dc,tu,Bc,jc,zc,Uc,ru,Vc,ri,nu,Bi,Wc,su,Gc,Hc,au,Kc,qc,iu,Zc,Yc,ou,Xc,Qc,uu,Jc,ed,lu,td,ji,cu,rd,nd,sd,du,ad,id,hu=c(()=>{Wt(),jt(),mr(),or(),Qo=(s,i,l,f,p,g,m)=>{let v=Math.ceil(i/4),x="";typeof p=="string"?x=`${p}(a)`:x=p("a");let P=Qe("inputData",l,[v],4),D=Dt("outputData",f,[v],4),R=[{name:"vec_size",type:"u32"}];return m&&R.push(...m),`
      ${s.registerUniforms(R).declareVariables(P,D)}

  ${g??""}

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

    let a = ${P.getByOffset("global_idx")};
    ${D.setByOffset("global_idx",x)}
  }`},Cr=(s,i,l,f,p,g=s.dataType,m,v)=>{let x=[{type:12,data:Math.ceil(ze.size(s.dims)/4)}];return m&&x.push(...m),{name:i,shaderCache:{hint:p,inputDependencies:["type"]},getShaderSource:P=>Qo(P,ze.size(s.dims),s.dataType,g,l,f,v),getRunData:P=>({outputs:[{dims:s.dims,dataType:g}],dispatchGroup:{x:Math.ceil(ze.size(P[0].dims)/64/4)},programUniforms:x})}},Lc=s=>{s.compute(Cr(s.inputs[0],"Abs","abs"))},Jo=s=>{s.compute(Cr(s.inputs[0],"Acos","acos"))},Rc=s=>{s.compute(Cr(s.inputs[0],"Acosh","acosh"))},Fc=s=>{s.compute(Cr(s.inputs[0],"Asin","asin"))},eu=s=>{s.compute(Cr(s.inputs[0],"Asinh","asinh"))},Nc=s=>{s.compute(Cr(s.inputs[0],"Atan","atan"))},Dc=s=>{s.compute(Cr(s.inputs[0],"Atanh","atanh"))},tu=s=>Gt(s),Bc=(s,i)=>{let l;switch(i.to){case 10:l="vec4<f16>";break;case 1:l="vec4<f32>";break;case 12:l="vec4<u32>";break;case 6:l="vec4<i32>";break;case 9:l="vec4<bool>";break;default:throw new RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${i.to}`)}s.compute(Cr(s.inputs[0],"Cast",l,void 0,i.cacheKey,i.to))},jc=s=>{let i,l,f=s.length>=2&&s[1].data!==0,p=s.length>=3&&s[2].data!==0;switch(s[0].dataType){case 1:i=f?s[1].getFloat32Array()[0]:-34028234663852886e22,l=p?s[2].getFloat32Array()[0]:34028234663852886e22;break;case 10:i=f?s[1].getUint16Array()[0]:64511,l=p?s[2].getUint16Array()[0]:31743;break;default:throw new Error("Unsupport data type")}return Gt({min:i,max:l})},zc=(s,i)=>{let l=i||jc(s.inputs),f=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"Clip",p=>`clamp(${p}, vec4<${f}>(uniforms.min), vec4<${f}>(uniforms.max))`,void 0,l.cacheKey,void 0,[{type:s.inputs[0].dataType,data:l.min},{type:s.inputs[0].dataType,data:l.max}],[{name:"min",type:f},{name:"max",type:f}]),{inputs:[0]})},Uc=s=>{s.compute(Cr(s.inputs[0],"Ceil","ceil"))},ru=s=>{s.compute(Cr(s.inputs[0],"Cos","cos"))},Vc=s=>{s.compute(Cr(s.inputs[0],"Cosh","cosh"))},ri=s=>Gt(s),nu=(s,i)=>{let l=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"Elu",f=>`elu_vf32(${f})`,`
  const elu_alpha_ = ${l}(${i.alpha});

  fn elu_f32(a: ${l}) -> ${l} {
  return select((exp(a) - 1.0) * elu_alpha_, a, a >= 0.0);
  }

  fn elu_vf32(v: vec4<${l}>) -> vec4<${l}> {
  return vec4(elu_f32(v.x), elu_f32(v.y), elu_f32(v.z), elu_f32(v.w));
  }`,i.cacheKey))},Bi=(s="f32")=>`
const r0: ${s} = 0.3275911;
const r1: ${s} = 0.254829592;
const r2: ${s} = -0.284496736;
const r3: ${s} = 1.421413741;
const r4: ${s} = -1.453152027;
const r5: ${s} = 1.061405429;

fn erf_vf32(v: vec4<${s}>) -> vec4<${s}> {
  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));
}`,Wc=s=>{let i=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"Erf",l=>`erf_vf32(${l})`,Bi(i)))},su=s=>{s.compute(Cr(s.inputs[0],"Exp","exp"))},Gc=s=>{s.compute(Cr(s.inputs[0],"Floor","floor"))},Hc=s=>{let i=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"Gelu",l=>`0.5 * ${l} * (1.0 + erf_vf32(${l} * 0.7071067811865475))`,Bi(i)))},au=(s,i)=>{let l=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"LeakyRelu",f=>`select(leaky_relu_alpha_ * ${f}, ${f}, ${f} >= vec4<${l}>(0.0))`,`const leaky_relu_alpha_ = ${l}(${i.alpha});`,i.cacheKey))},Kc=s=>{s.compute(Cr(s.inputs[0],"Not",i=>`!${i}`))},qc=s=>{s.compute(Cr(s.inputs[0],"Neg",i=>`-${i}`))},iu=s=>{s.compute(Cr(s.inputs[0],"Reciprocal",i=>`1.0/${i}`))},Zc=s=>{let i=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"Relu",l=>`select(vec4<${i}>(0.0), ${l}, ${l} > vec4<${i}>(0.0))`))},Yc=s=>{s.compute(Cr(s.inputs[0],"Sigmoid",i=>`(1.0 / (1.0 + exp(-${i})))`))},ou=s=>Gt(s),Xc=(s,i)=>{let l=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"HardSigmoid",f=>`max(vec4<${l}>(0.0), min(vec4<${l}>(1.0), ${i.alpha} * ${f} + vec4<${l}>(${i.beta})))`,void 0,i.cacheKey))},Qc=s=>{s.compute(Cr(s.inputs[0],"Sin","sin"))},uu=s=>{s.compute(Cr(s.inputs[0],"Sinh","sinh"))},Jc=s=>{s.compute(Cr(s.inputs[0],"Sqrt","sqrt"))},ed=s=>{s.compute(Cr(s.inputs[0],"Tan","tan"))},lu=s=>`sign(${s}) * (1 - exp(-2 * abs(${s}))) / (1 + exp(-2 * abs(${s})))`,td=s=>{s.compute(Cr(s.inputs[0],"Tanh",lu))},ji=(s="f32")=>`
const fast_gelu_a: ${s} = 0.5;
const fast_gelu_b: ${s} = 0.7978845608028654;
const fast_gelu_c: ${s} = 0.035677408136300125;

fn tanh_v(v: vec4<${s}>) -> vec4<${s}> {
  return ${lu("v")};
}
`,cu=s=>`(fast_gelu_a + fast_gelu_a * tanh_v(${s} * (fast_gelu_c * ${s} * ${s} + fast_gelu_b))) * ${s}`,rd=s=>{let i=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"FastGelu",cu,ji(i),void 0,s.inputs[0].dataType))},nd=(s,i)=>{let l=Qr(s.inputs[0].dataType);return s.compute(Cr(s.inputs[0],"ThresholdedRelu",f=>`select(vec4<${l}>(0.0), ${f}, ${f} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${l}>(${i.alpha});`,i.cacheKey)),0},sd=s=>{s.compute(Cr(s.inputs[0],"Log","log"))},du=(s,i)=>`
const alpha = vec4<${s}>(${i});
const one = ${s}(1.0);
const zero = ${s}(0.0);

fn quick_gelu_impl(x: vec4<${s}>) -> vec4<${s}> {
  let v = x *alpha;
  var x1 : vec4<${s}>;
  for (var i = 0; i < 4; i = i + 1) {
    if (v[i] >= zero) {
      x1[i] = one / (one + exp(-v[i]));
    } else {
      x1[i] = one - one / (one + exp(v[i]));
    }
  }
  return x * x1;
}
`,ad=s=>`quick_gelu_impl(${s})`,id=(s,i)=>{let l=Qr(s.inputs[0].dataType);s.compute(Cr(s.inputs[0],"QuickGelu",ad,du(l,i.alpha),i.cacheKey,s.inputs[0].dataType))}}),od,fu,ud,Gp=c(()=>{jt(),or(),hu(),od=s=>{if(s[0].dims.length!==3)throw new Error("input should have 3 dimensions");if(![2560,5120,10240].includes(s[0].dims[2]))throw new Error("hidden state should be 2560, 5120 or 10240");if(s[1].dims.length!==1)throw new Error("bias is expected to have 1 dimensions");if(s[0].dims[2]!==s[1].dims[0])throw new Error("last dimension of input and bias are not the same")},fu=s=>{let i=s[0].dims.slice();i[2]=i[2]/2;let l=Qe("input",s[0].dataType,s[0].dims,4),f=Qe("bias",s[0].dataType,[s[0].dims[2]],4),p=Dt("output",s[0].dataType,i,4),g=ze.size(i)/4,m=Ir(s[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:i,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(g/64)}}),getShaderSource:v=>`
  const M_SQRT2 = sqrt(2.0);
  const halfChannels = ${s[0].dims[2]/4/2}u;

  ${v.declareVariables(l,f,p)}

  ${Bi(m)}

  ${v.mainStart()}
    ${v.guardAgainstOutOfBoundsWorkgroupSizes(g)}
    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);

    ${p.setByOffset("global_idx","valueLeft * geluRight")}
  }`}},ud=s=>{od(s.inputs),s.compute(fu(s.inputs))}}),ld,cd,Yn,dd,hd,pu,fd,pd,mu,md,_d,_u,gd,Hp=c(()=>{Wt(),jt(),or(),ld=(s,i,l,f,p,g,m,v,x,P,D,R)=>{let E,K;typeof v=="string"?E=K=(te,ye)=>`${v}((${te}),(${ye}))`:typeof v=="function"?E=K=v:(E=v.scalar,K=v.vector);let q=Dt("outputData",D,f.length,4),Y=Qe("aData",x,i.length,4),ne=Qe("bData",P,l.length,4),se;if(p)if(g){let te=ze.size(i)===1,ye=ze.size(l)===1,be=i.length>0&&i[i.length-1]%4===0,Ce=l.length>0&&l[l.length-1]%4===0;te||ye?se=q.setByOffset("global_idx",K(te?`${Y.type.value}(${Y.getByOffset("0")}.x)`:Y.getByOffset("global_idx"),ye?`${ne.type.value}(${ne.getByOffset("0")}.x)`:ne.getByOffset("global_idx"))):se=`
            let outputIndices = ${q.offsetToIndices("global_idx * 4u")};
            let offsetA = ${Y.broadcastedIndicesToOffset("outputIndices",q)};
            let offsetB = ${ne.broadcastedIndicesToOffset("outputIndices",q)};
            ${q.setByOffset("global_idx",K(m||be?Y.getByOffset("offsetA / 4u"):`${Y.type.value}(${Y.getByOffset("offsetA / 4u")}[offsetA % 4u])`,m||Ce?ne.getByOffset("offsetB / 4u"):`${ne.type.value}(${ne.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
          `}else se=q.setByOffset("global_idx",K(Y.getByOffset("global_idx"),ne.getByOffset("global_idx")));else{if(!g)throw new Error("no necessary to use scalar implementation for element-wise binary op implementation.");let te=(ye,be,Ce="")=>{let Be=`aData[indexA${be}][componentA${be}]`,je=`bData[indexB${be}][componentB${be}]`;return`
            let outputIndices${be} = ${q.offsetToIndices(`global_idx * 4u + ${be}u`)};
            let offsetA${be} = ${Y.broadcastedIndicesToOffset(`outputIndices${be}`,q)};
            let offsetB${be} = ${ne.broadcastedIndicesToOffset(`outputIndices${be}`,q)};
            let indexA${be} = offsetA${be} / 4u;
            let indexB${be} = offsetB${be} / 4u;
            let componentA${be} = offsetA${be} % 4u;
            let componentB${be} = offsetB${be} % 4u;
            ${ye}[${be}] = ${Ce}(${E(Be,je)});
          `};D===9?se=`
            var data = vec4<u32>(0);
            ${te("data",0,"u32")}
            ${te("data",1,"u32")}
            ${te("data",2,"u32")}
            ${te("data",3,"u32")}
            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:se=`
            ${te("outputData[global_idx]",0)}
            ${te("outputData[global_idx]",1)}
            ${te("outputData[global_idx]",2)}
            ${te("outputData[global_idx]",3)}
          `}return`
        ${s.registerUniform("vec_size","u32").declareVariables(Y,ne,q)}

        ${R??""}

        ${s.mainStart()}
        ${s.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${se}
      }`},cd=(s,i,l,f,p,g,m=l.dataType)=>{let v=l.dims.map(Y=>Number(Y)??1),x=f.dims.map(Y=>Number(Y)??1),P=!ze.areEqual(v,x),D=v,R=ze.size(v),E=!1,K=!1,q=[P];if(P){let Y=mn.calcShape(v,x,!1);if(!Y)throw new Error("Can't perform binary op on the given tensors");D=Y.slice(),R=ze.size(D);let ne=ze.size(v)===1,se=ze.size(x)===1,te=v.length>0&&v[v.length-1]%4===0,ye=x.length>0&&x[x.length-1]%4===0;q.push(ne),q.push(se),q.push(te),q.push(ye);let be=1;for(let Ce=1;Ce<D.length;Ce++){let Be=v[v.length-Ce],je=x[x.length-Ce];if(Be===je)be*=Be;else break}be%4===0?(K=!0,E=!0):(ne||se||te||ye)&&(E=!0)}else E=!0;return q.push(E),{name:s,shaderCache:{hint:i+q.map(Y=>Y.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:Y=>ld(Y,v,x,D,E,P,K,p,l.dataType,f.dataType,m,g),getRunData:()=>({outputs:[{dims:D,dataType:m}],dispatchGroup:{x:Math.ceil(R/64/4)},programUniforms:[{type:12,data:Math.ceil(ze.size(D)/4)},...xt(v,x,D)]})}},Yn=(s,i,l,f,p,g)=>{s.compute(cd(i,p??"",s.inputs[0],s.inputs[1],l,f,g))},dd=s=>{Yn(s,"Add",(i,l)=>`${i}+${l}`)},hd=s=>{Yn(s,"Div",(i,l)=>`${i}/${l}`)},pu=s=>{Yn(s,"Equal",{scalar:(i,l)=>`u32(${i}==${l})`,vector:(i,l)=>`vec4<u32>(${i}==${l})`},void 0,void 0,9)},fd=s=>{Yn(s,"Mul",(i,l)=>`${i}*${l}`)},pd=s=>{let i=Qe("input",s.inputs[0].dataType,s.inputs[0].dims).type.value;Yn(s,"Pow",{scalar:(l,f)=>`pow_custom(${l},${f})`,vector:(l,f)=>`pow_vector_custom(${l},${f})`},`
    fn pow_custom(a : ${i}, b : ${i}) -> ${i} {
      if (b == ${i}(0.0)) {
        return ${i}(1.0);
      } else if (a < ${i}(0.0) && f32(b) != floor(f32(b))) {
        return ${i}(pow(f32(a), f32(b))); // NaN
      }
      return select(sign(a), ${i}(1.0), round(f32(abs(b) % ${i}(2.0))) != 1.0) * ${i}(${i==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
    }
    fn pow_vector_custom(a : vec4<${i}>, b : vec4<${i}>) -> vec4<${i}> {
      // TODO: implement vectorized pow
      return vec4<${i}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
    }
      `)},mu=s=>{Yn(s,"Sub",(i,l)=>`${i}-${l}`)},md=s=>{Yn(s,"Greater",{scalar:(i,l)=>`u32(${i}>${l})`,vector:(i,l)=>`vec4<u32>(${i}>${l})`},void 0,void 0,9)},_d=s=>{Yn(s,"Less",{scalar:(i,l)=>`u32(${i}<${l})`,vector:(i,l)=>`vec4<u32>(${i}<${l})`},void 0,void 0,9)},_u=s=>{Yn(s,"GreaterOrEqual",{scalar:(i,l)=>`u32(${i}>=${l})`,vector:(i,l)=>`vec4<u32>(${i}>=${l})`},void 0,void 0,9)},gd=s=>{Yn(s,"LessOrEqual",{scalar:(i,l)=>`u32(${i}<=${l})`,vector:(i,l)=>`vec4<u32>(${i}<=${l})`},void 0,void 0,9)}}),gu,bd,yd,zi,wd,vd,Ed=c(()=>{Wt(),jt(),mr(),or(),gu=(s,i)=>{if(!s||s.length<1)throw new Error("too few inputs");let l=0,f=s[l],p=f.dataType,g=f.dims.length;s.forEach((m,v)=>{if(v!==l){if(m.dataType!==p)throw new Error("input tensors should be one type");if(m.dims.length!==g)throw new Error("input tensors should have the same shape");m.dims.forEach((x,P)=>{if(P!==i&&x!==f.dims[P])throw new Error("non concat dimensions must match")})}})},bd=(s,i)=>`
  fn calculateInputIndex(index: u32) -> u32 {
    let sizeInConcatAxis = array<u32, ${s}u>(${i});
    for (var i: u32 = 0u; i < ${s}; i += 1u ) {
      if (index < sizeInConcatAxis[i]) {
        return i;
      }
    }
    return ${s}u;
  }`,yd=(s,i)=>{let l=s.length,f=[];for(let p=0;p<l;++p){let g=i.setByOffset("global_idx",s[p].getByIndices("indices"));l===1?f.push(g):p===0?f.push(`if (inputIndex == ${p}u) { ${g} }`):p===l-1?f.push(`else { ${g} }`):f.push(`else if (inputIndex == ${p}) { ${g} }`)}return f.join(`
`)},zi=(s,i,l,f)=>{let p=ze.size(l),g=new Array(s.length),m=new Array(s.length),v=0,x=[],P=[],D=[{type:12,data:p}];for(let Y=0;Y<s.length;++Y)v+=s[Y].dims[i],g[Y]=v,P.push(s[Y].dims.length),m[Y]=Qe(`input${Y}`,f,P[Y]),x.push("rank"),D.push({type:12,data:g[Y]});for(let Y=0;Y<s.length;++Y)D.push(...xt(s[Y].dims));D.push(...xt(l));let R=Dt("output",f,l.length),E=R.indicesGet("indices",i),K=Array.from(Array(g.length).keys()).map(Y=>`uniforms.sizeInConcatAxis${Y}`).join(","),q=Y=>`

  ${(()=>{Y.registerUniform("outputSize","u32");for(let ne=0;ne<s.length;ne++)Y.registerUniform(`sizeInConcatAxis${ne}`,"u32");return Y.declareVariables(...m,R)})()}

  ${bd(g.length,K)}

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

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

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

    ${yd(m,R)}
  }`;return{name:"Concat",shaderCache:{hint:`${i}`,inputDependencies:x},getRunData:()=>({outputs:[{dims:l,dataType:f}],dispatchGroup:{x:Math.ceil(p/64)},programUniforms:D}),getShaderSource:q}},wd=(s,i)=>{let l=s.inputs,f=l[0].dims,p=ze.normalizeAxis(i.axis,f.length);gu(l,p);let g=f.slice();g[p]=l.reduce((v,x)=>v+(x.dims.length>p?x.dims[p]:0),0);let m=l.filter(v=>ze.size(v.dims)>0);s.compute(zi(m,p,g,l[0].dataType),{inputs:m})},vd=s=>Gt({axis:s.axis})}),Ws,ca,Gs,bu,da=c(()=>{Wt(),jt(),Ws=(s,i,l="f32")=>{switch(s.activation){case"Relu":return`value = max(value, ${i}(0.0));`;case"Sigmoid":return`value = (${i}(1.0) / (${i}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${i}(${l}(uniforms.clip_min)), ${i}(${l}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${i}(0.0), min(${i}(1.0), ${l}(uniforms.alpha) * value + ${l}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${l}(uniforms.alpha) * value, value, value >= ${i}(0.0));`;case"Tanh":return`let e2x = exp(-2.0 * abs(value));
              value = sign(value) * (1.0 - e2x) / (1.0 + e2x);
        `;case"":return"";default:throw new Error(`Unsupported activation ${s.activation}`)}},ca=(s,i)=>{s.activation==="Clip"?i.push({type:1,data:s.clipMax},{type:1,data:s.clipMin}):s.activation==="HardSigmoid"?i.push({type:1,data:s.alpha},{type:1,data:s.beta}):s.activation==="LeakyRelu"&&i.push({type:1,data:s.alpha})},Gs=(s,i)=>{s.activation==="Clip"?i.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):s.activation==="HardSigmoid"?i.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):s.activation==="LeakyRelu"&&i.push({name:"alpha",type:"f32"})},bu=s=>{let i=(s==null?void 0:s.activation)||"";if(i==="HardSigmoid"){let[l,f]=(s==null?void 0:s.activation_params)||[.2,.5];return{activation:i,alpha:l,beta:f}}else if(i==="Clip"){let[l,f]=(s==null?void 0:s.activation_params)||[Xr,yn];return{activation:i,clipMax:f,clipMin:l}}else if(i==="LeakyRelu"){let[l]=(s==null?void 0:s.activation_params)||[.01];return{activation:i,alpha:l}}return{activation:i}}}),wn,yu,wu=c(()=>{wn=(s,i)=>{switch(s){case 1:return i;case 2:return`vec2<${i}>`;case 3:return`vec3<${i}>`;case 4:return`vec4<${i}>`;default:throw new Error(`${s}-component is not supported.`)}},yu=s=>`
      ${s?"value = value + getBiasByOutputCoords(coords);":""}
      `}),Td,Kp=c(()=>{Td=s=>`
fn getIndexFromCoords4D(coords : vec4<i32>, shape : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
      shape.y * shape.z * shape.w, shape.z * shape.w, shape.w, 1));
}
fn getOutputIndexFromCoords(coords : vec4<i32>) -> i32 {
  return dot(coords, vec4<i32>(
    i32(${s}.x), i32(${s}.y), i32(${s}.z), 1));
}
`}),$a,vu,Eu=c(()=>{Wt(),jt(),or(),da(),$a=(s,i,l,f,p)=>{let g=f-l;return`
      ${Array.from({length:l}).map((m,v)=>`
      if (${Ft(i.shape,v,i.rank)} != 1) {
        ${i.indicesSet(s,v,Ft(p,v+g,f))}
      } else {
        ${i.indicesSet(s,v,0)}
      }`).join("")}
`},vu=(s,i,l,f,p=!1,g)=>{let m=s[0].dims,v=s[1].dims,x=m[m.length-2],P=v[v.length-1],D=m[m.length-1],R=sr(P),E=sr(D),K=sr(x),q=ze.size(l)/R/K,Y=s.length>2,ne=f?f.slice(0,-2):l.slice(0,-2),se=[ze.size(ne),x,P],te=[{type:12,data:q},{type:12,data:x},{type:12,data:P},{type:12,data:D}];ca(i,te),te.push(...xt(ne,m,v)),Y&&te.push(...xt(s[2].dims)),te.push(...xt(se));let ye=be=>{let Ce=Co("batch_dims",s[0].dataType,ne.length),Be=Qe("a",s[0].dataType,m.length,E),je=Qe("b",s[1].dataType,v.length,R),tt=Dt("output",s[0].dataType,se.length,R),lt=Ir(tt.type.tensor),kt=Ws(i,tt.type.value,lt),ir=[Be,je],cr="";if(Y){let Rt=p?R:1;ir.push(Qe("bias",s[2].dataType,s[2].dims.length,Rt)),cr=`${p?`value += bias[col / ${Rt}];`:`value += ${tt.type.value}(bias[row + i]);`}`}let Pt=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Gs(i,Pt);let pr=()=>{let Rt=`var a_data: ${Be.type.value};`;for(let zt=0;zt<E;zt++)Rt+=`
              let b_data${zt} = b[(b_offset + (k + ${zt}) * uniforms.N + col) / ${R}];`;for(let zt=0;zt<K;zt++){Rt+=`a_data = a[(a_offset + (row + ${zt}) * uniforms.K + k) / ${E}];`;for(let Br=0;Br<E;Br++)Rt+=`
            values[${zt}] = fma(${je.type.value}(a_data${E===1?"":`[${Br}]`}), b_data${Br}, values[${zt}]);
`}return Rt};return`
  ${be.registerUniforms(Pt).registerInternalVariables(Ce).declareVariables(...ir,tt)}
  ${be.mainStart()}
    ${be.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let col = (global_idx % (uniforms.N / ${R})) * ${R};
    var index1 = global_idx / (uniforms.N / ${R});
    let stride1 = uniforms.M / ${K};
    let row = (index1 % stride1) * ${K};
    let batch = index1 / stride1;

    ${l.length===2?"":`let batch_indices = ${Ce.offsetToIndices("batch")};`}

    var a_indices: ${Be.type.indices};
    ${$a("a_indices",Be,Be.rank-2,Ce.rank,"batch_indices")}
    ${Be.indicesSet("a_indices",Be.rank-2,0)}
    ${Be.indicesSet("a_indices",Be.rank-1,0)}
    let a_offset = ${Be.indicesToOffset("a_indices")};

    var b_indices: ${je.type.indices};
    ${$a("b_indices",je,je.rank-2,Ce.rank,"batch_indices")}
    ${je.indicesSet("b_indices",je.rank-2,0)}
    ${je.indicesSet("b_indices",je.rank-1,0)}
    let b_offset = ${je.indicesToOffset("b_indices")};
    var values: array<${tt.type.value}, ${K}>;
    for (var k: u32 = 0u; k < uniforms.K; k = k + ${E}) {
      ${pr()}
    }
    for (var i = 0u; i < ${K}u; i++) {
      var value = values[i];
      ${cr}
      ${kt}
      let cur_indices = ${tt.type.indices}(batch, row + i, col);
      let offset = ${tt.indicesToOffset("cur_indices")};
      ${tt.setByOffset(`offset / ${R}`,"value")};
    }
  }
  `};return{name:"MatMulNaive",shaderCache:{hint:`${i.activation};${R};${E};${K};${p}`,inputDependencies:Y?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:g?g(l):l,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(q/64)},programUniforms:te}),getShaderSource:ye}}}),Tu,xd,xu,Ui,Md,Mu,Pu,Vi,Cu=c(()=>{Wt(),jt(),or(),da(),Eu(),wu(),Tu=(s,i)=>s?`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          kStart + inputRow,
          globalRowStart / innerElementSize + inputCol${i?", batchIndices":""});
        `:`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          globalRow + innerRow,
          kStart / innerElementSize + inputCol${i?", batchIndices":""});
        `,xd=(s,i)=>s?`
        let ACached0 = mm_Asub[k * innerElementSize][localRow];
        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
        ${i===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];
          ${i===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];
          ${i===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
        }`,xu=(s,i,l="f32",f,p=!1,g=32,m=!1,v=32)=>{let x=i[1]*s[1],P=i[0]*s[0],D=p?x:g,R=p?g:x,E=D/i[0],K=g/i[1];if(!((p&&E===4&&s[1]===4||!p&&(E===3||E===4))&&D%i[0]===0&&g%i[1]===0&&s[0]===4))throw new Error(`If transposeA ${p} is true, innerElementSize ${E} and workPerThread[1] ${s[1]} must be 4.
      Otherwise, innerElementSize ${E} must be 3 or 4.
  tileAWidth ${D} must be divisible by workgroupSize[0]${i[0]}. tileInner ${g} must be divisible by workgroupSize[1] ${i[1]}. colPerThread ${s[0]} must be 4.`);return`
var<workgroup> mm_Asub: array<array<vec${E}<${l}>, ${D/E}>, ${R}>;
var<workgroup> mm_Bsub: array<array<vec4<${l}>, ${P/s[0]}>, ${g}>;

const rowPerThread = ${s[1]};
const colPerThread = ${s[0]};
const innerElementSize = ${E};
const tileInner = ${g};

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

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

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

  // Loop over shared dimension.
  let tileRowB = localRow * ${K};
  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;
          ${Tu(p,f)}
      }

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

          ${xd(p,E)}
      }

      workgroupBarrier();
  }

  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
  }
}`},Ui=(s,i)=>s?`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              kStart + inputRow,
              globalRowStart + inputCol${i?", batchIndices":""});
            `:`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              globalRowStart + inputRow,
              kStart + inputCol${i?", batchIndices":""});
            `,Md=s=>s?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",Mu=(s,i,l="f32",f,p=!1,g=32,m=!1,v=32,x=!1)=>{let P=s[1]*i[1],D=s[0]*i[0],R=p?P:g,E=p?g:P;if(!(E%i[1]===0&&R%i[0]===0&&g%i[1]===0))throw new Error(`tileAHight ${E} must be divisible by workgroupSize[1]${i[1]}, tileAWidth ${R} must be divisible by workgroupSize[0]${i[0]}, tileInner ${g} must be divisible by workgroupSize[1]${i[1]}`);let K=E/i[1],q=R/i[0],Y=g/i[1],ne=x?`
    let localRow = i32(localId.y);
    let localCol = i32(localId.x);
    let globalRowStart = i32(workgroupId.y) * ${P};
    let globalColStart = i32(workgroupId.x) * ${D};

    // 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 < ${E}; inputRow = inputRow + ${i[1]}) {
        for (var inputCol = localCol; inputCol < ${R}; inputCol = inputCol + ${i[0]}) {
          ${Ui(p,f)}
        }
      }
      // Load one tile of B into local memory.
      for (var inputRow = localRow; inputRow < ${g}; inputRow = inputRow + ${i[1]}) {
            for (var inputCol = localCol; inputCol < ${D}; inputCol = inputCol + ${i[0]}) {
          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
            kStart + inputRow,
            globalColStart + inputCol${f?", batchIndices":""});
        }
      }
      kStart = kStart + tileInner;
      workgroupBarrier();

      // Compute acc values for a single thread.
      var BCached : array<${l}, 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 * ${i[0]}];
        }
        for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
          let ACached = ${p?`mm_Asub[k][localRow + innerRow * ${i[1]}];`:`mm_Asub[localRow + innerRow * ${i[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 * ${i[1]};
      for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
        let gCol = globalColStart + localCol + innerCol * ${i[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) * ${P};

let tileRowA = i32(localId.y) * ${K};
let tileColA = i32(localId.x) * ${q};
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 < ${K}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < ${q}; innerCol = innerCol + 1) {
      let inputRow = tileRowA + innerRow;
      let inputCol = tileColA + innerCol;
      ${Ui(p,f)}
    }
  }

  // Load one tile of B into local memory.
  for (var innerRow = 0; innerRow < ${Y}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < colPerThread; innerCol = innerCol + 1) {
      let inputRow = tileRowB + innerRow;
      let inputCol = tileCol + innerCol;
      mm_Bsub[inputRow][inputCol] = mm_readB(batch,
        kStart + inputRow,
        globalCol + innerCol${f?", batchIndices":""});
    }
  }
  kStart = kStart + tileInner;
  workgroupBarrier();

  // Compute acc values for a single thread.
  var BCached : array<${l}, 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) {
      ${Md(p)}
      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<${l}, ${R}>, ${E}>;
  var<workgroup> mm_Bsub : array<array<${l}, ${D}>, ${g}>;
  const rowPerThread = ${s[1]};
  const colPerThread = ${s[0]};
  const tileInner = ${g};

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

    var acc : array<array<${l}, colPerThread>, rowPerThread>;
    ${ne}
  }
`},Pu=(s,i,l,f,p=!1)=>{let[g,m,v,x]=f,P=Ir(f[0].type.tensor);return`
    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${g.type.indices}) -> ${wn(s,P)} {
      var value = ${wn(s,P)}(0.0);
      let col = colIn * ${s};
      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
      {
        var aIndices: ${m.type.indices};
        ${$a("aIndices",m,m.rank-2,g.rank,"batchIndices")}
        ${m.indicesSet("aIndices",m.rank-2,"u32(row)")}
        ${m.indicesSet("aIndices",m.rank-1,"u32(colIn)")}
        value = ${m.getByIndices("aIndices")};
      }
      return value;
    }

    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${g.type.indices}) -> ${wn(s,P)} {
      var value = ${wn(s,P)}(0.0);
      let col = colIn * ${s};
      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
      {
        var bIndices: ${v.type.indices};
        ${$a("bIndices",v,v.rank-2,g.rank,"batchIndices")}
        ${v.indicesSet("bIndices",v.rank-2,"u32(row)")}
        ${v.indicesSet("bIndices",v.rank-1,"u32(colIn)")}
        value = ${v.getByIndices("bIndices")};
      }
      return value;
    }

    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${wn(s,P)}) {
      let col = colIn * ${s};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
        var value = valueIn;
        let coords = vec3<i32>(batch, row, colIn);
        ${i?`value = value + ${p?"bias[colIn]":`${wn(s,P)}(bias[row])`};`:""}
        ${l}
        ${x.setByIndices("vec3<u32>(coords)","value")}
      }
    }
    `},Vi=(s,i,l,f,p=!1,g)=>{let m=s[0].dims,v=s[1].dims,x=m.slice(0,-2),P=v.slice(0,-2),D=f?f.slice(0,-2):l.slice(0,-2),R=ze.size(D),E=m[m.length-2],K=m[m.length-1],q=v[v.length-1],Y=K%4===0&&q%4===0,ne=E<=8?[4,1,1]:[4,4,1],se=[8,8,1],te=[Math.ceil(q/se[0]/ne[0]),Math.ceil(E/se[1]/ne[1]),Math.ceil(R/se[2]/ne[2])],ye=Y?4:1,be=[...x,E,K/ye],Ce=be.length,Be=[...P,K,q/ye],je=Be.length,tt=[R,E,q/ye],lt=[{type:6,data:E},{type:6,data:q},{type:6,data:K}];ca(i,lt),lt.push(...xt(D,be,Be));let kt=["rank","rank"],ir=s.length>2;ir&&(lt.push(...xt(s[2].dims)),kt.push("rank")),lt.push(...xt(tt));let cr=Pt=>{let pr=D.length,Rt=Co("batchDims",s[0].dataType,pr,1),zt=Ir(s[0].dataType),Br=Qe("a",s[0].dataType,Ce,ye),rr=Qe("b",s[1].dataType,je,ye),Kt=Dt("result",s[0].dataType,tt.length,ye),Or=[Br,rr];if(ir){let ls=p?ye:1;Or.push(Qe("bias",s[2].dataType,s[2].dims.length,ls))}let ut=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Gs(i,ut);let It=Ir(Kt.type.tensor),Sr=Ws(i,Kt.type.value,It),ln=Pu(ye,ir,Sr,[Rt,Br,rr,Kt],p);return`
  ${Pt.registerUniforms(ut).registerInternalVariables(Rt).declareVariables(...Or,Kt)}
  ${ln}
  ${Y?xu(ne,se,zt,Rt):Mu(ne,se,zt,Rt)}
                   `};return{name:"MatMul",shaderCache:{hint:`${ne};${i.activation};${Y};${p}`,inputDependencies:kt},getRunData:()=>({outputs:[{dims:g?g(l):l,dataType:s[0].dataType}],dispatchGroup:{x:te[0],y:te[1],z:te[2]},programUniforms:lt}),getShaderSource:cr}}}),Su,Pd,qp=c(()=>{Wt(),Ie(),or(),da(),wu(),Kp(),Cu(),Su=(s,i,l,f,p=!1,g,m=4,v=4,x=4,P="f32")=>{let D=lt=>{switch(lt){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${P}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw new Error(`innerElementSize ${lt} is not supported.`)}},R=lt=>{switch(lt){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 ${lt} is not supported.`)}},E=s?`
    let coord = vec4<i32>(batch, xRow, xCol, xCh);
    `:`
    let coord = vec4<i32>(batch, xCh, xRow, xCol);
    `,K=s?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,q=s?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",Y=s?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",ne=s?"row":"col",se=s?"col":"row",te=`
    let inChannels = i32(uniforms.w_shape[2]);
    let outWidth = ${s?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
    let outRow = ${ne} / outWidth;
    let outCol = ${ne} % outWidth;

    let WRow = ${se} / (i32(uniforms.w_shape[1]) * inChannels);
    let WCol = ${se} / 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 = ${se} % inChannels;
    var resData = ${wn(m,P)}(0.0);
    // The bounds checking is always needed since we use it to pad zero for
    // the 'same' padding type.
    if (xRow >= 0 && xRow < ${q} && xCol >= 0 && xCol < ${Y}) {
      ${E}
      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
      ${D(m)}
    }
    return resData;`,ye=s?i&&f?`
    let col = colIn * ${m};
    ${te}`:`
    let col = colIn * ${m};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
      ${te}
    }
    return ${wn(m,P)}(0.0);`:f&&l?`
    let col = colIn * ${m};
    ${te}`:`
    let col = colIn * ${m};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${te}
    }
    return ${wn(m,P)}(0.0);`,be=s?f&&l?R(v):`
    let col = colIn * ${v};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${R(v)}
    }
    return ${wn(v,P)}(0.0);`:`
    let col = colIn * ${v};
    if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {
      ${R(v)}
    }
    return ${wn(v,P)}(0.0);`,Ce=wn(x,P),Be=wn(s?m:v,P),je=wn(s?v:m,P),tt=Ws(g,Ce,P);return`
    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${Be} {
      ${s?ye:be}
    }

    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${je} {
      ${s?be:ye}
    }

    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${Ce}) {
      let col = colIn * ${x};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
      {
      var value = valueIn;
      let outWidth = ${s?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${K}
      ${yu(p)}
      ${tt}
      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
      }
    }`},Pd=(s,i,l,f,p,g,m,v,x)=>{let P=i.format==="NHWC",D=P?s[0].dims[3]:s[0].dims[1],R=l[0],E=P?l[2]:l[3],K=P?l[1]:l[2],q=P?l[3]:l[1],Y=P&&(D%4===0||D%3===0)&&q%4===0,ne=P?q:E*K,se=P?E*K:q,te=[8,8,1],ye=f<=8?[4,1,1]:[4,4,1],be=[Math.ceil(ne/te[0]/ye[0]),Math.ceil(se/te[1]/ye[1]),Math.ceil(R/te[2]/ye[2])];Tr("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${be}`);let Ce=Y?P&&D%4!==0?3:4:1,Be=te[1]*ye[1],je=te[0]*ye[0],tt=Math.max(te[0]*Ce,te[1]),lt=f%Be===0,kt=p%je===0,ir=g%tt===0,cr=Y?[Ce,4,4]:[1,1,1],Pt=[{type:6,data:f},{type:6,data:p},{type:6,data:g},{type:6,data:[i.pads[0],i.pads[1]]},{type:6,data:i.strides},{type:6,data:i.dilations}];ca(i,Pt),Pt.push(...xt(s[0].dims,s[1].dims));let pr=["rank","rank"];m&&(Pt.push(...xt(s[2].dims)),pr.push("rank")),Pt.push(...xt(l));let Rt=zt=>{let Br=[{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}];Gs(i,Br);let rr=Y?4:1,Kt=Ir(s[0].dataType),Or=`
      fn setOutputAtIndex(flatIndex : i32, value : ${Y?`vec4<${Kt}>`:Kt}) {
        result[flatIndex] = ${Y?`vec4<${Kt}>`:Kt}(value);
      }
      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${Y?`vec4<${Kt}>`:Kt}) {
        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
        setOutputAtIndex(flatIndex ${Y?"/ 4":""}, value);
      }`,ut=Qe("x",s[0].dataType,s[0].dims.length,Ce===3?1:Ce),It=Qe("w",s[1].dataType,s[1].dims.length,rr),Sr=[ut,It],ln=Dt("result",s[0].dataType,l.length,rr);if(m){let ls=Qe("bias",s[2].dataType,s[2].dims.length,rr);Sr.push(ls),Or+=`
        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${Y?`vec4<${Kt}>`:Kt} {
          return bias[coords.${P?"w":"y"}${Y?"/ 4":""}];
        }`}return`
        ${Td("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 };
        ${zt.registerUniforms(Br).declareVariables(...Sr,ln)}
        ${Or}
        ${Su(P,lt,kt,ir,m,i,cr[0],cr[1],cr[2],Kt)}
        ${Y?xu(ye,te,Kt,void 0,!P,tt):Mu(ye,te,Kt,void 0,!P,tt,!1,void 0,v)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${i.cacheKey};${Ce};${Y};${lt};${kt};${ir};${Be};${je};${tt}`,inputDependencies:pr},getRunData:()=>({outputs:[{dims:x?x(l):l,dataType:s[0].dataType}],dispatchGroup:{x:be[0],y:be[1],z:be[2]},programUniforms:Pt}),getShaderSource:Rt}}}),Au,ku,ni,Cd,Iu,Wi,Sd,Ad,Zp=c(()=>{Wt(),Ie(),jt(),or(),da(),wu(),Au=s=>{let i=1;for(let l=0;l<s.length;l++)i*=s[l];return i},ku=s=>typeof s=="number"?[s,s,s]:s,ni=(s,i)=>i<=1?s:s+(s-1)*(i-1),Cd=(s,i,l,f=1)=>{let p=ni(i,f);return Math.floor((s[0]*(l-1)-l+p)/2)},Iu=(s,i,l,f,p)=>{p==null&&(p=Cd(s,i[0],f[0]));let g=[0,0,0,l];for(let m=0;m<3;m++)s[m]+2*p>=i[m]&&(g[m]=Math.trunc((s[m]-i[m]+2*p)/f[m]+1));return g},Wi=(s,i,l,f,p,g,m,v,x,P)=>{let D,R,E,K;if(s==="VALID"&&(s=0),typeof s=="number"){D={top:s,bottom:s,left:s,right:s,front:s,back:s};let q=Iu([i,l,f,1],[v,x,P],1,[p,g,m],s);R=q[0],E=q[1],K=q[2]}else if(Array.isArray(s)){if(!s.every((Y,ne,se)=>Y===se[0]))throw Error(`Unsupported padding parameter: ${s}`);D={top:s[0],bottom:s[1],left:s[2],right:s[3],front:s[4],back:s[5]};let q=Iu([i,l,f,1],[v,x,P],1,[p,g,m],s[0]);R=q[0],E=q[1],K=q[2]}else if(s==="SAME_UPPER"){R=Math.ceil(i/p),E=Math.ceil(l/g),K=Math.ceil(f/m);let q=(R-1)*p+v-i,Y=(E-1)*g+x-l,ne=(K-1)*m+P-f,se=Math.floor(q/2),te=q-se,ye=Math.floor(Y/2),be=Y-ye,Ce=Math.floor(ne/2),Be=ne-Ce;D={top:ye,bottom:be,left:Ce,right:Be,front:se,back:te}}else throw Error(`Unknown padding parameter: ${s}`);return{padInfo:D,outDepth:R,outHeight:E,outWidth:K}},Sd=(s,i,l,f,p,g=!1,m="channelsLast")=>{let v,x,P,D,R;if(m==="channelsLast")[v,x,P,D,R]=s;else if(m==="channelsFirst")[v,R,x,P,D]=s;else throw new Error(`Unknown dataFormat ${m}`);let[E,,K,q,Y]=i,[ne,se,te]=ku(l),[ye,be,Ce]=ku(f),Be=ni(K,ye),je=ni(q,be),tt=ni(Y,Ce),{padInfo:lt,outDepth:kt,outHeight:ir,outWidth:cr}=Wi(p,x,P,D,ne,se,te,Be,je,tt),Pt=g?E*R:E,pr=[0,0,0,0,0];return m==="channelsFirst"?pr=[v,Pt,kt,ir,cr]:m==="channelsLast"&&(pr=[v,kt,ir,cr,Pt]),{batchSize:v,dataFormat:m,inDepth:x,inHeight:P,inWidth:D,inChannels:R,outDepth:kt,outHeight:ir,outWidth:cr,outChannels:Pt,padInfo:lt,strideDepth:ne,strideHeight:se,strideWidth:te,filterDepth:K,filterHeight:q,filterWidth:Y,effectiveFilterDepth:Be,effectiveFilterHeight:je,effectiveFilterWidth:tt,dilationDepth:ye,dilationHeight:be,dilationWidth:Ce,inShape:s,outShape:pr,filterShape:i}},Ad=(s,i,l,f,p,g)=>{let m=g==="channelsLast";m?s[0].dims[3]:s[0].dims[1];let v=[64,1,1],x={x:l.map((ne,se)=>se)},P=[Math.ceil(Au(x.x.map(ne=>l[ne]))/v[0]),1,1];Tr("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${P}`);let D=1,R=ze.size(l),E=[{type:12,data:R},{type:12,data:f},{type:12,data:p},{type:12,data:i.strides},{type:12,data:i.dilations}];ca(i,E),E.push(...xt(s[0].dims,s[1].dims));let K=["rank","rank"],q=s.length===3;q&&(E.push(...xt(s[2].dims)),K.push("rank")),E.push(...xt(l));let Y=ne=>{let se=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:f.length},{name:"pads",type:"u32",length:p.length},{name:"strides",type:"u32",length:i.strides.length},{name:"dilations",type:"u32",length:i.dilations.length}];Gs(i,se);let te=1,ye=Ir(s[0].dataType),be=Qe("x",s[0].dataType,s[0].dims.length,D),Ce=Qe("W",s[1].dataType,s[1].dims.length,te),Be=[be,Ce],je=Dt("result",s[0].dataType,l.length,te),tt="";if(q){let ir=Qe("bias",s[2].dataType,s[2].dims.length,te);Be.push(ir),tt+=`
        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${ye} {
          return bias[${m?Ft("coords",4,5):Ft("coords",1,5)}];
        }`}let lt=wn(D,ye),kt=Ws(i,lt,ye);return`
            ${tt}
            fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${be.getByIndices("aIndices")};
            }
            fn getW(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${Ce.getByIndices("aIndices")};
            }
          ${ne.registerUniforms(se).declareVariables(...Be,je)}
          ${ne.mainStart()}
          ${ne.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
              let coords = ${je.offsetToIndices("global_idx")};
              let batch = ${Ft("coords",0,be.rank)};
              let d2 = ${m?Ft("coords",be.rank-1,be.rank):Ft("coords",1,be.rank)};
              let xFRCCorner = vec3<u32>(${m?Ft("coords",1,be.rank):Ft("coords",2,be.rank)},
              ${m?Ft("coords",2,be.rank):Ft("coords",3,be.rank)},
              ${m?Ft("coords",3,be.rank):Ft("coords",4,be.rank)}) * uniforms.strides - uniforms.pads;
              let xFCorner = xFRCCorner.x;
              let xRCorner = xFRCCorner.y;
              let xCCorner = xFRCCorner.z;
              let xShapeY = ${m?Ft("uniforms.x_shape",1,be.rank):Ft("uniforms.x_shape",2,be.rank)};
              let xShapeZ = ${m?Ft("uniforms.x_shape",2,be.rank):Ft("uniforms.x_shape",3,be.rank)};
              let xShapeW = ${m?Ft("uniforms.x_shape",3,be.rank):Ft("uniforms.x_shape",4,be.rank)};
              let xShapeU = ${m?Ft("uniforms.x_shape",4,be.rank):Ft("uniforms.x_shape",1,be.rank)};
              let inputDepthNearestVec4 = (xShapeU / 4) * 4;
              let inputDepthVec4Remainder = xShapeU % 4;

              var value = 0.0;
              for (var wF = 0u; wF < uniforms.filter_dims[0]; wF++) {
                let xF = xFCorner + wF * uniforms.dilations[0];
                if (xF < 0 || xF >= xShapeY) {
                  continue;
                }

                for (var wR = 0u; wR < uniforms.filter_dims[1]; wR++) {
                  let xR = xRCorner + wR * uniforms.dilations[1];
                  if (xR < 0 || xR >= xShapeZ) {
                    continue;
                  }

                  for (var wC = 0u; wC < uniforms.filter_dims[2]; wC++) {
                    let xC = xCCorner + wC * uniforms.dilations[2];
                    if (xC < 0 || xC >= xShapeW) {
                      continue;
                    }

                    for (var d1 = 0u; d1 < inputDepthNearestVec4; d1 += 4) {
                      ${m?`let xValues = vec4<f32>(
                               getX(batch, xF, xR, xC, d1),
                               getX(batch, xF, xR, xC, d1 + 1),
                               getX(batch, xF, xR, xC, d1 + 2),
                               getX(batch, xF, xR, xC, d1 + 3));
                            `:`let xValues = vec4<f32>(
                               getX(batch, d1, xF, xR, xC),
                               getX(batch, d1 + 1, xF, xR, xC),
                               getX(batch, d1 + 2, xF, xR, xC),
                               getX(batch, d1 + 3, xF, xR, xC));
                            `}
                            let wValues = vec4<f32>(
                              getW(d2, d1, wF, wR, wC),
                              getW(d2, d1 + 1, wF, wR, wC),
                              getW(d2, d1 + 2, wF, wR, wC),
                              getW(d2, d1 + 3, wF, wR, wC));
                      value += dot(xValues, wValues);
                    }
                    if (inputDepthVec4Remainder == 1) {
                        ${m?`value += getX(batch, xF, xR, xC, inputDepthNearestVec4)
                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`:`value += getX(batch, inputDepthNearestVec4, xF, xR, xC)
                          * getW(d2, inputDepthNearestVec4, wF, wR, wC);`}
                    } else if (inputDepthVec4Remainder == 2) {
                      ${m?`let xValues = vec2<f32>(
                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1));
                      `:`let xValues = vec2<f32>(
                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC));
                    `}
                    let wValues = vec2<f32>(
                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC));
                      value += dot(xValues, wValues);
                    } else if (inputDepthVec4Remainder == 3) {
                      ${m?`let xValues = vec3<f32>(
                        getX(batch, xF, xR, xC, inputDepthNearestVec4),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 1),
                        getX(batch, xF, xR, xC, inputDepthNearestVec4 + 2));
                      `:`let xValues = vec3<f32>(
                        getX(batch, inputDepthNearestVec4, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 1, xF, xR, xC),
                        getX(batch, inputDepthNearestVec4 + 2, xF, xR, xC));
                    `}
                    let wValues = vec3<f32>(
                      getW(d2, inputDepthNearestVec4, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 1, wF, wR, wC),
                      getW(d2, inputDepthNearestVec4 + 2, wF, wR, wC));
                      value += dot(xValues, wValues);
                    }
                  }
                }
              }
              ${q?"value = value + getBiasByOutputCoords(coords)":""};
              ${kt}
              result[global_idx] = f32(value);
          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${i.cacheKey};${m};${D};${q}`,inputDependencies:K},getRunData:()=>({outputs:[{dims:l,dataType:s[0].dataType}],dispatchGroup:{x:P[0],y:P[1],z:P[2]},programUniforms:E}),getShaderSource:Y}}}),kd,Id,$d=c(()=>{Wt(),jt(),or(),da(),kd=(s,i,l,f)=>{let p=s.length>2,g=p?"value += b[output_channel];":"",m=s[0].dims,v=s[1].dims,x=i.format==="NHWC",P=x?l[3]:l[1],D=P/i.group,R=x&&D>=4?sr(P):1,E=ze.size(l)/R,K=[{type:12,data:E},{type:12,data:i.dilations},{type:12,data:[i.strides[0],i.strides[1]]},{type:12,data:[i.pads[0],i.pads[1]]},{type:12,data:D}];ca(i,K),K.push(...xt(m,[v[0],v[1],v[2],v[3]/R]));let q=p?["rank","rank","rank"]:["rank","rank"];K.push(...xt([l[0],l[1],l[2],l[3]/R]));let Y=ne=>{let se=Dt("output",s[0].dataType,l.length,R),te=Ir(se.type.tensor),ye=Ws(i,se.type.value,te),be=Qe("x",s[0].dataType,m.length),Ce=Qe("w",s[1].dataType,v.length,R),Be=[be,Ce];p&&Be.push(Qe("b",s[2].dataType,s[2].dims,R));let je=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:i.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];Gs(i,je);let tt=x?`
      for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[0]; wHeight++) {
        let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];

        if (xHeight < 0u || xHeight >= uniforms.x_shape[1]) {
          continue;
        }

        for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[1]; wWidth++) {
          let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
          if (xWidth < 0u || xWidth >= uniforms.x_shape[2]) {
            continue;
          }

          for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[2]; wInChannel++) {
            let input_channel = in_channel_offset + wInChannel;
            let xVal = ${be.get("batch","xHeight","xWidth","input_channel")};
            let wVal = ${Ce.get("wHeight","wWidth","wInChannel","output_channel")};
            value += xVal * wVal;
          }
        }
      }
      `:`
      for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
        let input_channel = in_channel_offset + wInChannel;
        for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {
          let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];

          if (xHeight < 0u || xHeight >= uniforms.x_shape[2]) {
            continue;
          }

          for (var wWidth: u32 = 0u; wWidth < uniforms.w_shape[3]; wWidth++) {
            let xWidth = xRCCorner.y + wWidth * uniforms.dilations[1];
            if (xWidth < 0u || xWidth >= uniforms.x_shape[3]) {
              continue;
            }

            let xVal = ${be.get("batch","input_channel","xHeight","xWidth")};
            let wVal = ${Ce.get("output_channel","wInChannel","wHeight","wWidth")};
            value += xVal * wVal;
          }
        }
      }
      `;return`
  ${ne.registerUniforms(je).declareVariables(...Be,se)}

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

    let outputIndices = ${se.offsetToIndices("global_idx")};
    let batch: u32 = outputIndices[0];
    let output_channel: u32 = outputIndices[${x?3:1}];
    let xRCCorner: vec2<u32> = vec2<u32>(outputIndices[${x?1:2}], outputIndices[${x?2:3}]) * uniforms.strides - uniforms.pads;
    let group_id: u32 = output_channel * ${R} / uniforms.output_channels_per_group;
    var in_channel_offset = group_id * uniforms.w_shape[${x?2:1}];

    var value: ${se.type.value} = ${se.type.value}(0);
    ${tt}
    ${g}
    ${ye}
    ${se.setByOffset("global_idx","value")}
  }`};return{name:"GroupedConv",shaderCache:{hint:`${i.cacheKey}_${R}`,inputDependencies:q},getRunData:()=>({outputs:[{dims:f?f(l):l,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(E/64)},programUniforms:K}),getShaderSource:Y}},Id=(s,i,l,f)=>{let p=s.length>2,g=sr(l[3]),m=sr(l[2]),v=ze.size(l)/g/m,x=[s[0].dims[0],s[0].dims[1],s[0].dims[2],s[0].dims[3]/g],P=[s[1].dims[0],s[1].dims[1],s[1].dims[2],s[1].dims[3]/g],D=[l[0],l[1],l[2],l[3]/g],R=[{type:12,data:v},{type:6,data:[i.strides[0],i.strides[1]]},{type:6,data:[i.pads[0],i.pads[1]]}];ca(i,R),R.push(...xt(x,P,D));let E=(m-1)*i.strides[1]+P[1],K=q=>{let Y=Dt("output",s[0].dataType,D.length,g),ne=Ir(Y.type.tensor),se=Ws(i,Y.type.value,ne),te=Qe("x",s[0].dataType,x.length,g),ye=Qe("w",s[1].dataType,P.length,g),be=[te,ye];p&&be.push(Qe("b",s[2].dataType,s[2].dims,g));let Ce=p?"value += b[output_channel];":"",Be=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Gs(i,Be),`
  ${q.registerUniforms(Be).declareVariables(...be,Y)}
  ${q.mainStart()}
    ${q.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] / ${m}u;
    let col = (index1 % width1) * ${m}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<${te.type.value}, ${E}>;
    var values: array<${Y.type.value}, ${m}>;
    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 < ${P[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 < ${E}; i++) {
          let x_width = x_corner.y + i;
          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
            x_vals[i] = ${te.get("batch","u32(x_height)","u32(x_width)","input_channel")};
          } else {
            x_vals[i] = ${te.type.value}(0);
          }
        }
        for (var w_width: u32 = 0u; w_width < ${P[1]}; w_width++) {
          let w_val = ${ye.get("w_height","w_width","0","output_channel")};
          for (var i = 0u; i < ${m}u; i++) {
            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
          }
        }
      }
    }

    for (var i = 0u; i < ${m}u; i++) {
      var value = values[i];
      ${Ce}
      ${se}
      ${Y.set("batch","row","col + i","output_channel","value")};
    }
  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${i.cacheKey};${g};${m};${E};${P[0]};${P[1]}`,inputDependencies:p?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:f?f(l):l,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(v/64)},programUniforms:R}),getShaderSource:K}}}),Od,Gi,$u,Hi,Ou,Lu,Ld,Ru,Fu,Yp=c(()=>{jt(),qp(),Zp(),Cu(),$d(),da(),Eu(),Vs(),Od=(s,i,l,f,p,g)=>{let m=s[0],v=s.slice(g?1:2,g?3:4),x=v.length,P=i[0],D=i.slice(2).map((E,K)=>E+(E-1)*(l[K]-1)),R=v.map((E,K)=>E+f[K]+f[K+x]).map((E,K)=>Math.floor((E-D[K]+p[K])/p[K]));return R.splice(0,0,m),R.splice(g?3:1,0,P),R},Gi=[2,3,1,0],$u=(s,i)=>{if(!s||s.length!==2&&s.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(s[0].dims.length>5)throw new Error("greater than 5D is not supported");if(s[0].dims.length!==s[1].dims.length)throw new Error("filter does not have same dimension as input");let l=s[0].dims[i.format==="NHWC"?s[0].dims.length-1:1],f=s[1].dims[1]*i.group;if(l!==f)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(s.length===3&&(s[2].dims.length!==1||s[1].dims[0]!==s[2].dims[0]))throw new Error("invalid bias");let p=s[0].dims.length-2;if(i.dilations.length!==p)throw new Error(`dilations should be ${p}D`);if(i.strides.length!==p)throw new Error(`strides should be ${p}D`);if(i.pads.length!==p*2)throw new Error(`pads should be ${p*2}D`);if(i.kernelShape.length!==0&&i.kernelShape.length!==s[1].dims.length-2)throw new Error("invalid kernel shape")},Hi=(s,i)=>{let l=s.kernelShape.slice();l.length<i[1].dims.length-2&&l.push(...Array(i[1].dims.length-2-l.length).fill(0));for(let g=2;g<i[1].dims.length;++g)l[g-2]===0&&(l[g-2]=i[1].dims[g]);let f=s.pads.slice();xn.adjustPadsBasedOnAutoPad(i[0].dims,s.strides,s.dilations,l,f,s.format==="NHWC",s.autoPad);let p=Object.assign({},s);return Object.assign(p,{kernelShape:l,pads:f}),p},Ou=s=>{let i=bu(s),l=s.format,f=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][s.auto_pad],p=s.dilations,g=s.group,m=s.kernel_shape,v=s.pads,x=s.strides,P=s.w_is_const();return{autoPad:f,format:l,dilations:p,group:g,kernelShape:m,pads:v,strides:x,wIsConst:P,...i,cacheKey:`${s.format};${i.activation};`}},Lu=(s,i,l,f)=>{let p=l.format==="NHWC",g=Od(i[0].dims,i[1].dims,l.dilations,l.pads,l.strides,p);if(l.group!==1){let Be=[i[0]];if(p){let je=s.kernelCustomData.wT??s.compute(qn(i[1],Gi),{inputs:[1],outputs:[l.wIsConst?-2:-1]})[0];l.wIsConst&&!s.kernelCustomData.wT&&(s.kernelCustomData.wT=je),Be.push(je)}else Be.push(i[1]);i.length===3&&Be.push(i[2]),!s.adapterInfo.isArchitecture("ampere")&&p&&i[1].dims[0]===l.group&&i[1].dims[1]===1&&l.dilations[0]===1&&l.dilations[1]===1?s.compute(Id(Be,l,g,f),{inputs:Be}):s.compute(kd(Be,l,g,f),{inputs:Be});return}let m=i.length===3,v=i[0].dims[p?1:2],x=i[0].dims[p?2:3],P=i[0].dims[p?3:1],D=i[1].dims[2],R=i[1].dims[3],E=g[p?1:2],K=g[p?2:3],q=g[p?3:1],Y=p&&D===v&&R===x&&l.pads[0]===0&&l.pads[1]===0;if(Y||D===1&&R===1&&l.dilations[0]===1&&l.dilations[1]===1&&l.strides[0]===1&&l.strides[1]===1&&l.pads[0]===0&&l.pads[1]===0){let Be=g[0],je,tt,lt,kt=[];if(p){let Pt=s.kernelCustomData.wT??s.compute(qn(i[1],Gi),{inputs:[1],outputs:[l.wIsConst?-2:-1]})[0];if(l.wIsConst&&!s.kernelCustomData.wT&&(s.kernelCustomData.wT=Pt),Y){let pr=v*x*P;je=i[0].reshape([1,Be,pr]),tt=Pt.reshape([1,pr,q]),lt=[1,Be,q]}else je=i[0].reshape([Be,v*x,P]),tt=Pt.reshape([1,P,q]),lt=[Be,E*K,q];kt.push(je),kt.push(tt)}else je=i[0].reshape([Be,P,v*x]),tt=i[1].reshape([1,q,P]),lt=[Be,q,E*K],kt.push(tt),kt.push(je);m&&kt.push(i[2]);let ir=lt[2],cr=kt[0].dims[kt[0].dims.length-1];ir<8&&cr<8?s.compute(vu(kt,l,g,lt,p,f),{inputs:kt}):s.compute(Vi(kt,l,g,lt,p,f),{inputs:kt});return}let ne=!0,se=s.kernelCustomData.wT??s.compute(qn(i[1],Gi),{inputs:[1],outputs:[l.wIsConst?-2:-1]})[0];l.wIsConst&&!s.kernelCustomData.wT&&(s.kernelCustomData.wT=se);let te=[i[0],se];m&&te.push(i[2]);let ye=p?E*K:q,be=p?q:E*K,Ce=D*R*P;s.compute(Pd(te,l,g,ye,be,Ce,m,ne,f),{inputs:te})},Ld=(s,i)=>{let l=i.format==="NHWC",f=[s.inputs[0].reshape(l?[s.inputs[0].dims[0],1,s.inputs[0].dims[1],s.inputs[0].dims[2]]:[s.inputs[0].dims[0],s.inputs[0].dims[1],1,s.inputs[0].dims[2]]),s.inputs[1].reshape([s.inputs[1].dims[0],s.inputs[1].dims[1],1,s.inputs[1].dims[2]])];s.inputs.length===3&&f.push(s.inputs[2]);let p=[0,i.pads[0],0,i.pads[1]],g=[1].concat(i.strides),m=[1].concat(i.dilations),v=[1].concat(i.kernelShape),x=Hi({...i,pads:p,strides:g,dilations:m,kernelShape:v},f);Lu(s,f,x,P=>l?[P[0],P[2],P[3]]:[P[0],P[1],P[3]])},Ru=(s,i,l)=>{let f=l.format==="NHWC"?"channelsLast":"channelsFirst",p=Hi(l,i),g=l.autoPad==="NOTSET"?l.pads:l.autoPad,m=Sd(i[0].dims,i[1].dims,l.strides,l.dilations,g,!1,f);s.compute(Ad(i,p,m.outShape,[m.filterDepth,m.filterHeight,m.filterWidth],[m.padInfo.front,m.padInfo.top,m.padInfo.left],f))},Fu=(s,i)=>{if($u(s.inputs,i),s.inputs[0].dims.length===3)Ld(s,i);else if(s.inputs[0].dims.length===5)Ru(s,s.inputs,i);else{let l=Hi(i,s.inputs);Lu(s,s.inputs,l)}}}),Nu,Xp=c(()=>{Wt(),Ie(),jt(),or(),Nu=(s,i,l)=>{let f=s.length>2,p=i.outputShape,g=i.format==="NHWC",m=i.group,v=s[1].dims,x=v[2]/m,P=v[3],D=g?sr(x):1,R=g?sr(P):1,E=g?P===1?D:R:1,K=ze.size(p)/R,q=[Math.ceil(K/64),1,1];Tr("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${q}`);let Y=["rank","rank"],ne=[i.strides[0],i.strides[1]],se=[i.kernelShape[g?1:2],i.kernelShape[g?2:3]],te=[i.dilations[0],i.dilations[1]],ye=[se[0]+(i.dilations[0]<=1?0:(i.kernelShape[g?1:2]-1)*(i.dilations[0]-1)),se[1]+(i.dilations[1]<=1?0:(i.kernelShape[g?2:3]-1)*(i.dilations[1]-1))],be=[ye[0]-1-Math.floor((i.pads[0]+i.pads[2])/2),ye[1]-1-Math.floor((i.pads[1]+i.pads[3])/2)],Ce=[{type:12,data:K},{type:12,data:ne},{type:12,data:se},{type:12,data:te},{type:12,data:ye},{type:6,data:be},{type:12,data:x},{type:12,data:P},...xt(s[0].dims,s[1].dims)];f&&(Ce.push(...xt(s[2].dims)),Y.push("rank")),Ce.push(...xt(p));let Be=je=>{let tt=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:ne.length},{name:"filter_dims",type:"u32",length:se.length},{name:"dilations",type:"u32",length:se.length},{name:"effective_filter_dims",type:"u32",length:ye.length},{name:"pads",type:"i32",length:be.length},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],lt=Ir(s[0].dataType),kt=g?1:2,ir=g?2:3,cr=g?3:1,Pt=Qe("W",s[1].dataType,s[1].dims.length,E),pr=Qe("Dy",s[0].dataType,s[0].dims.length,D),Rt=[pr,Pt];f&&Rt.push(Qe("bias",s[2].dataType,[p[cr]].length,R));let zt=Dt("result",s[0].dataType,p.length,R),Br=()=>{let Kt="";if(D===1)Kt+=`
        let w_offset = ${Pt.indicesToOffset(`${Pt.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};
        let wValue = ${Pt.getByOffset(`w_offset / ${E}`)};
        dotProd = dotProd + xValue * wValue;`;else if(P===1)Kt+=`
          let wValue = ${Pt.getByOffset(`${Pt.indicesToOffset(`${Pt.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)} / ${E}`)};
          dotProd = dotProd + dot(xValue, wValue);`;else for(let Or=0;Or<D;Or++)Kt+=`
            let wValue${Or} = ${Pt.getByOffset(`${Pt.indicesToOffset(`${Pt.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${Or}, wOutChannel)`)} / ${E}`)};
            dotProd = dotProd + xValue[${Or}] * wValue${Or};`;return Kt},rr=`
            let outputIndices = ${zt.offsetToIndices(`global_idx * ${R}`)};
            let batch = ${zt.indicesGet("outputIndices",0)};
            let d1 = ${zt.indicesGet("outputIndices",cr)};
            let r = ${zt.indicesGet("outputIndices",kt)};
            let c = ${zt.indicesGet("outputIndices",ir)};
            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 = ${zt.type.value}(0.0);
            for (var wR: u32 = 0; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
              if (wR % uniforms.dilations.x != 0) {
                continue;
              }
              let dyR = (${lt}(dyRCorner) + ${lt}(wR)) / ${lt}(uniforms.strides[0]);
              let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
              if (dyR < 0.0 || dyR >= ${lt}(uniforms.Dy_shape[${kt}]) || fract(dyR) > 0.0 ||
                  wRPerm < 0) {
                continue;
              }
              wR = wR + uniforms.strides[0] - 1;
              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 = (${lt}(dyCCorner) + ${lt}(wC)) / ${lt}(uniforms.strides.y);
                let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;
                if (dyC < 0.0 || dyC >= ${lt}(uniforms.Dy_shape[${ir}]) ||
                    fract(dyC) > 0.0 || wCPerm < 0) {
                  continue;
                }
                wC = wC + uniforms.strides.y - 1;
                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 + ${D}) {
                  let xValue = ${g?pr.getByOffset(`${pr.indicesToOffset(`${pr.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${D}`):pr.get("batch","inputChannel","idyR","idyC")};
                  ${Br()}
                  inputChannel = inputChannel + ${D};
                }
              }
            }
            let value = dotProd${f?` + bias[d1 / ${R}]`:""};
            ${zt.setByOffset("global_idx","value")};
          `;return`
    ${je.registerUniforms(tt).declareVariables(...Rt,zt)}
      ${je.mainStart()}
      ${je.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
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    let indices = ${Y.offsetToIndices("global_idx")};
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            var outputIndices = ${m.offsetToIndices("global_idx")};
            ${p.map((be,Ce)=>`var input${Ce}Indices: ${p[Ce].type.indices};`).join(`
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        var data = vec4<u32>(0);
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        ${Y("data",1,"u32")}
        ${Y("data",2,"u32")}
        ${Y("data",3,"u32")}
        ${K.setByOffset("global_idx","data")}
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    ${R.mainStart()}
    ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
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      let x = ${v.getByOffset("global_idx")};
      ${E}
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          var idx${te} = ${q.getByIndices(`indicesIndices${te}`)};
          if (idx${te} < 0) {
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          }
          var dataIndices${te} : ${K.type.indices};
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          let index${be} = offset${be} / 4u;
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        var value = vec4<u32>(0);
        ${te("value",0,"u32")}
        ${te("value",1,"u32")}
        ${te("value",2,"u32")}
        ${te("value",3,"u32")}
        ${Y.setByOffset("global_idx","value")}
      `}else se=`
      let outputIndices = ${Y.offsetToIndices("global_idx")};
      ${ne("")};
      let value = ${K.getByIndices("dataIndices")};
      ${Y.setByOffset("global_idx","value")};
      `;return`
      ${E.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(K,q,Y)}
      ${E.mainStart()}
        ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        ${se}
      }`};return{name:"Gather",shaderCache:{hint:i.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:m,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(P/64)},programUniforms:D}),getShaderSource:R}},oh=s=>Gt({axis:s.axis}),uh=(s,i)=>{let l=s.inputs;Yi(l),s.compute(ih(s.inputs,i))}}),lh,ch,dh,ii=c(()=>{Wt(),jt(),or(),lh=(s,i,l,f,p,g,m,v,x)=>{let P=[{type:12,data:g},{type:12,data:f},{type:12,data:p},{type:12,data:l},{type:12,data:m},{type:12,data:v},{type:12,data:x}],D=[g];P.push(...xt(i.dims,D));let R=E=>{let K=Qe("indices_data",i.dataType,i.dims.length),q=Dt("input_slice_offsets_data",12,1,1),Y=[K,q],ne=[{name:"output_size",type:"u32"},{name:"batch_dims",type:"u32"},{name:"input_dims",type:"u32",length:p.length},{name:"sizes_from_slice_dims_data",type:"u32",length:l.length},{name:"num_slices_per_batch",type:"u32"},{name:"input_batch_stride",type:"u32"},{name:"num_slice_dims",type:"u32"}];return`
  ${E.registerUniforms(ne).declareVariables(...Y)}
  ${E.mainStart()}
    ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let batch_idx = global_idx / uniforms.num_slices_per_batch;
    let base_offset = batch_idx * uniforms.input_batch_stride;

    let slice_indices_base_offset = global_idx * uniforms.num_slice_dims;
    var relative_slice_offset = 0;
    for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) {
      var index = i32(indices_data[dim_idx + slice_indices_base_offset].x);
      let input_dim_idx = uniforms.batch_dims + dim_idx;
      if (index < 0) {
        ${p.length===1?"index += i32(uniforms.input_dims);":"index += i32(uniforms.input_dims[input_dim_idx]);"}
      }
      ${l.length===1?"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);":"relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);"}
    }

    input_slice_offsets_data[global_idx] =  base_offset + u32(relative_slice_offset);
  }`};return s.compute({name:"computeSliceOffsets",shaderCache:{hint:`${p.length}_${l.length}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:D,dataType:s.inputs[1].dataType}],dispatchGroup:{x:Math.ceil(g/64)},programUniforms:P}),getShaderSource:R},{inputs:[i],outputs:[-1]})[0]},ch=(s,i)=>{let l=s.inputs,f=l[0].dims,p=l[0].dataType,g=l[1].dims,m=g[g.length-1],v=ze.sizeToDimension(g,g.length-1),x=ze.sizeFromDimension(f,i.batchDims+m),P=ze.sizeToDimension(f,i.batchDims),D=ze.sizeFromDimension(f,i.batchDims),R=v/P,E=new Array(m),K=x;for(let be=0;be<m;++be)E[m-1-be]=K,K*=f[i.batchDims+m-1-be];let q=lh(s,l[1],E,i.batchDims,f,v,R,D,m),Y=i.batchDims+m;if(Y>f.length)throw new Error("last dimension of indices must not be larger than rank of input tensor");let ne=g.slice(0,-1).concat(f.slice(Y)),se=ze.size(ne),te=[{type:12,data:se},{type:12,data:x},...xt(l[0].dims,q.dims,ne)],ye=be=>{let Ce=Qe("data",l[0].dataType,l[0].dims.length),Be=Qe("slice_offsets",12,q.dims.length),je=Dt("output",l[0].dataType,ne.length);return`
          ${be.registerUniform("output_size","u32").registerUniform("slice_size","u32").declareVariables(Ce,Be,je)}
            ${be.mainStart()}
            ${be.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let slice_offset = slice_offsets[global_idx / uniforms.slice_size];
          output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size];
        }`};s.compute({name:"GatherND",shaderCache:{hint:i.cacheKey,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:ne,dataType:p}],dispatchGroup:{x:Math.ceil(se/64)},programUniforms:te}),getShaderSource:ye},{inputs:[l[0],q]})},dh=s=>({batchDims:s.batch_dims,cacheKey:""})}),hh,fh,ph,mh,rm=c(()=>{Wt(),jt(),mr(),or(),hh=(s,i)=>{if(s.length<3||s.length>4)throw new Error("GatherBlockQuantized requires 3 or 4 inputs.");let l=ze.normalizeAxis(i.quantizeAxis,s[0].dims.length),f=i.blockSize,p=s[0],g=s[2],m=s.length===4?s[3]:void 0;if(g.dims.length!==p.dims.length||!p.dims.map((v,x)=>x===l?Math.ceil(v/f)===g.dims[x]:v===g.dims[x]).reduce((v,x)=>v&&x,!0))throw new Error("Scales must have the same rank as the input tensor and the dims should match except on gatherAxis.");if(m){if(m.dataType!==p.dataType)throw new Error("Zero point must have the same data type as the input tensor.");if(m.dims.length!==g.dims.length||!m.dims.map((v,x)=>v===g.dims[x]).reduce((v,x)=>v&&x,!0))throw new Error("Zero point must have the same rank as the input tensor and the dims should match except on quantizeAxis.")}},fh=(s,i)=>{let l=s[0].dims,f=s[1].dims,p=l.length,g=ze.normalizeAxis(i.gatherAxis,p),m=ze.normalizeAxis(i.quantizeAxis,p),v=l.slice(0);v.splice(g,1,...f);let x=ze.size(v),P=s[2].dataType,D=s[0].dataType===22,R=[{type:12,data:x},{type:12,data:m},{type:12,data:g},{type:12,data:i.blockSize},...xt(...s.map((K,q)=>K.dims),v)],E=K=>{let q=Qe("data",s[0].dataType,s[0].dims.length),Y=Qe("inputIndices",s[1].dataType,s[1].dims.length),ne=Qe("scales",s[2].dataType,s[2].dims.length),se=s.length>3?Qe("zeroPoint",s[3].dataType,s[3].dims.length):void 0,te=Dt("output",P,v.length),ye=[q,Y,ne];se&&ye.push(se);let be=[{name:"output_size",type:"u32"},{name:"quantize_axis",type:"u32"},{name:"gather_axis",type:"u32"},{name:"block_size",type:"u32"}];return`
        ${K.registerUniforms(be).declareVariables(...ye,te)}
        ${K.mainStart()}
        let output_indices = ${te.offsetToIndices("global_idx")};
        var indices_indices = ${Y.type.indices}(0);
        ${f.length>1?`
          for (var i: u32 = 0; i < ${f.length}; i++) {
            let index = ${te.indicesGet("output_indices","uniforms.gather_axis + i")};
            ${Y.indicesSet("indices_indices","i","index")};
          }`:`indices_indices = ${te.indicesGet("output_indices","uniforms.gather_axis")};`};
        var data_indices = ${q.type.indices}(0);
        for (var i: u32 = 0; i < uniforms.gather_axis; i++) {
          let index = ${te.indicesGet("output_indices","i")};
          ${q.indicesSet("data_indices","i","index")};
        }
        var index_from_indices = ${Y.getByIndices("indices_indices")};
        if (index_from_indices < 0) {
          index_from_indices += ${l[g]};
        }
        ${q.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")};
        for (var i = uniforms.gather_axis + 1; i < ${v.length}; i++) {
          let index = ${te.indicesGet("output_indices",`i + ${f.length} - 1`)};
          ${q.indicesSet("data_indices","i","index")};
        }
        let data_offset = ${q.indicesToOffset("data_indices")};
        let data_index = data_offset % 8;
        // Convert 4-bit packed data to 8-bit packed data.
        let packed_4bit_quantized_data = ${q.getByOffset("data_offset / 8")};
        let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;
        let quantized_data_vec = ${D?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_quantized_data));
        let quantized_data = quantized_data_vec[data_index / 2];
        var scale_indices = data_indices;
        let quantize_axis_index = ${ne.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
        ${ne.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
        var scale = ${ne.getByIndices("scale_indices")};
        ${se?`
              let zero_point_indices = scale_indices;
              let zero_point_offset = ${se.indicesToOffset("zero_point_indices")};
              let zero_point_index = zero_point_offset % 8;
              let packed_4bit_zero_points = ${se.getByOffset("zero_point_offset / 8")};
              let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;
              let zero_point_vec = ${D?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points));
              let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"};
        let dequantized_data = ${Qr(P)}(quantized_data - zero_point) * scale;
        ${te.setByOffset("global_idx","dequantized_data")};
    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${i.cacheKey};${s.filter((K,q)=>q!==1).map(K=>K.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:s.length},(K,q)=>"rank")},getRunData:()=>({outputs:[{dims:v,dataType:P}],dispatchGroup:{x:Math.ceil(x/64)},programUniforms:R}),getShaderSource:E}},ph=(s,i)=>{let l=s.inputs;hh(l,i),s.compute(fh(s.inputs,i))},mh=s=>Gt({blockSize:s.blockSize,gatherAxis:s.gatherAxis,quantizeAxis:s.quantizeAxis})}),_h,gh,Xi,nm,sm=c(()=>{Wt(),jt(),mr(),or(),_h=s=>{if(!s||s.length!==2)throw new Error("GatherElements requires 2 inputs.");if(s[0].dims.length<1)throw new Error("GatherElements requires that the data input be rank >= 1.");if(s[0].dims.length!==s[1].dims.length)throw new Error(`GatherElements requires that the data input and
                     indices input tensors be of same rank.`)},gh=(s,i)=>{let l=s[0].dims,f=s[0].dataType,p=l.length,g=s[1].dims,m=s[1].dataType,v=ze.normalizeAxis(i.axis,p),x=l[v],P=g.slice(0),D=ze.size(P),R=Qe("input",f,p),E=Qe("indicesInput",m,g.length),K=Dt("output",f,P.length),q=[{type:12,data:D},{type:6,data:x},{type:12,data:v}];return q.push(...xt(l,g,P)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:P,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(D/64)},programUniforms:q}),getShaderSource:Y=>`
      ${Y.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(R,E,K)}
      ${Y.mainStart()}
      ${Y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

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

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

      ${K.setByOffset("global_idx","value")};
  }`}},Xi=s=>Gt({axis:s.axis}),nm=(s,i)=>{let l=s.inputs;_h(l),s.compute(gh(s.inputs,i))}}),bh,yh,wh,vh,Eh=c(()=>{Wt(),jt(),or(),bh=s=>{if(!s)throw new Error("Input is missing");if(s.length<2||s.length>3)throw new Error("Invaid input number.");if(s.length===3&&s[2].dims.length>2)throw new Error("Invalid input shape of C");if(s[0].dataType!==s[1].dataType||s.length===3&&s[0].dataType!==s[2].dataType)throw new Error("Input types are mismatched")},yh=(s,i)=>{let l=s[0].dims.slice(),f=s[1].dims.slice(),[p,g,m]=Cs.getShapeOfGemmResult(l,i.transA,f,i.transB,s.length===3?s[2].dims:void 0),v=[p,g];if(!v)throw new Error("Can't use gemm on the given tensors");let x=16,P=Math.ceil(g/x),D=Math.ceil(p/x),R=!0,E=ze.size(v),K=[{type:12,data:R?P:E},{type:12,data:p},{type:12,data:g},{type:12,data:m},{type:1,data:i.alpha},{type:1,data:i.beta}],q=["type","type"];s.length===3&&(K.push(...xt(s[2].dims)),q.push("rank")),K.push(...xt(v));let Y=se=>{let te="";i.transA&&i.transB?te="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":i.transA&&!i.transB?te="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!i.transA&&i.transB?te="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!i.transA&&!i.transB&&(te="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let ye=i.alpha===1?"":"value *= uniforms.alpha;",be=Qe("a",s[0].dataType,s[0].dims),Ce=Qe("b",s[1].dataType,s[1].dims),Be=be.type.value,je=null,tt=[be,Ce];s.length===3&&(je=Qe("c",s[2].dataType,s[2].dims.length),tt.push(je));let lt=Dt("output",s[0].dataType,v.length);tt.push(lt);let kt=[{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`
  ${se.registerUniforms(kt).declareVariables(...tt)}

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

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

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

    ${ye}
    ${je!=null?`let cOffset = ${je.broadcastedIndicesToOffset("vec2(m, n)",lt)}; value += ${Be}(uniforms.beta) * ${je.getByOffset("cOffset")};`:""}
    output[global_idx] = value;
  }`},ne=se=>{let te=Qe("a",s[0].dataType,s[0].dims),ye=Qe("b",s[1].dataType,s[1].dims),be=null,Ce=[te,ye];s.length===3&&(be=Qe("c",s[2].dataType,s[2].dims.length),Ce.push(be));let Be=Dt("output",s[0].dataType,v.length);Ce.push(Be);let je=[{name:"num_tile_n",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"},{name:"alpha",type:"f32"},{name:"beta",type:"f32"}],tt="",lt="";i.transA&&i.transB?(lt=`
      var col = tile_row_start + local_id.x;
      var row = k_start + local_id.y;
      if (col < uniforms.M && row < uniforms.K) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${te.type.value}(0);
      }

      col = k_start + local_id.x;
      row = tile_col_start + local_id.y;
      if (col < uniforms.K && row < uniforms.N) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${ye.type.value}(0);
      }
      `,tt="value += tile_a[k][local_id.y] * tile_b[local_id.x][k];"):i.transA&&!i.transB?(lt=`
      var col = tile_row_start + local_id.x;
      var row = k_start + local_id.y;
      if (col < uniforms.M && row < uniforms.K) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${te.type.value}(0);
      }

      col = tile_col_start + local_id.x;
      row = k_start + local_id.y;
      if (col < uniforms.N && row < uniforms.K) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${ye.type.value}(0);
      }
      `,tt="value += tile_a[k][local_id.y] * tile_b[k][local_id.x];"):!i.transA&&i.transB?(lt=`
      var col = k_start + local_id.x;
      var row = tile_row_start + local_id.y;
      if (col < uniforms.K && row < uniforms.M) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${te.type.value}(0);
      }

      col = k_start + local_id.x;
      row = tile_col_start + local_id.y;
      if (col < uniforms.K && row < uniforms.N) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.K + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${ye.type.value}(0);
      }
      `,tt="value += tile_a[local_id.y][k] * tile_b[local_id.x][k];"):!i.transA&&!i.transB&&(lt=`
      var col = k_start + local_id.x;
      var row = tile_row_start + local_id.y;
      if (col < uniforms.K && row < uniforms.M) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.K + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${te.type.value}(0);
      }

      col = tile_col_start + local_id.x;
      row = k_start + local_id.y;
      if (col < uniforms.N && row < uniforms.K) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${ye.type.value}(0);
      }
      `,tt="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let kt=i.alpha===1?"":"value *= uniforms.alpha;";return`
  ${se.registerUniforms(je).declareVariables(...Ce)}
  var<workgroup> tile_a: array<array<${te.type.storage}, ${x}>, ${x}>;
  var<workgroup> tile_b: array<array<${ye.type.storage}, ${x}>, ${x}>;
  ${se.mainStart([x,x,1])}
    let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${x};
    let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${x};
    let num_tiles = (uniforms.K - 1) / ${x} + 1;
    var k_start = 0u;
    var value = ${Be.type.value}(0);
    for (var t: u32 = 0u; t < num_tiles; t++) {
      ${lt}
      k_start = k_start + ${x};
      workgroupBarrier();

      for (var k: u32 = 0u; k < ${x}; k++) {
        ${tt}
      }
      workgroupBarrier();
    }

    ${kt}
    let m = tile_row_start + local_id.y;
    let n = tile_col_start + local_id.x;
    ${be!=null?`let cOffset = ${be.broadcastedIndicesToOffset("vec2(m, n)",Be)}; value += ${Be.type.value}(uniforms.beta) * ${be.getByOffset("cOffset")};`:""}
    if (m < uniforms.M && n < uniforms.N) {
      output[m * uniforms.N + n] = value;
    }
  }`};return R?{name:"GemmShared",shaderCache:{hint:`${i.cacheKey}`,inputDependencies:q},getRunData:()=>({outputs:[{dims:v,dataType:s[0].dataType}],dispatchGroup:{x:P*D},programUniforms:K}),getShaderSource:ne}:{name:"Gemm",shaderCache:{hint:`${i.cacheKey}`,inputDependencies:q},getRunData:()=>({outputs:[{dims:v,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(E/64)},programUniforms:K}),getShaderSource:Y}},wh=s=>{let i=s.transA,l=s.transB,f=s.alpha,p=s.beta;return{transA:i,transB:l,alpha:f,beta:p,cacheKey:`${s.transA};${s.transB};${s.alpha===1}`}},vh=(s,i)=>{bh(s.inputs),s.compute(yh(s.inputs,i))}}),ms,As,Hs,ha,Th,Wu,xh,Mh,Qi,Ph,Ch,Sh,Ah,Gu,Hu=c(()=>{Wt(),jt(),mr(),or(),[ms,As,Hs,ha]=[0,1,2,3],Th=s=>{if(s[0].dims.length!==4)throw new Error("only 4-D tensor is supported.");if(s[0].dims.length!==s[1].dims.length)throw new Error("input dimensions must be equal to grid dimensions");if(s[0].dims.length-2!==s[1].dims[s[1].dims.length-1])throw new Error(`last dimension of grid must be equal to ${s[0].dims.length-2}`);if(s[0].dims[0]!==s[1].dims[0])throw new Error("grid batch size must match input batch size")},Wu=`
  fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {
    let cubic_alpha = -0.75f;
    let x_abs = abs(x);
    var coeffs: vec4<f32>;
    coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);
    coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);
    coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);
    coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);
    return coeffs;
  }
`,xh=s=>`
  fn gs_bicubic_interpolate(p: mat4x4<${s}>, x: f32, y: f32) -> ${s} {
    var v: vec4<f32>;
    var coeffs = gs_get_cubic_coeffs(x);
    for (var i = 0; i < 4; i++) {
      v[i] = coeffs[0] * p[i][0] + coeffs[1] * p[i][1] + coeffs[2] * p[i][2] + coeffs[3] * p[i][3];
    }
    coeffs = gs_get_cubic_coeffs(y);
    let pixel = ${s}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]);
    return pixel;
  }
`,Mh=s=>`
  fn gs_denormalize(n: f32, length: i32) -> f32 {
    ${s.alignCorners===0?`
    // alignCorners: false => [-1, 1] to [-0.5, length - 0.5]
    return ((n + 1.0) * f32(length) - 1.0) / 2.0;
    `:`
    // alignCorners: true => [-1, 1] to [0, length - 1]
    return (n + 1.0) / 2.0 * (f32(length - 1));
    `}
  }
`,Qi=s=>`
  ${s.paddingMode==="reflection"?`
      fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 {
        var dx = 0.0;
        var fx = f32(x);
        let range = x_max - x_min;
        if (fx < x_min) {
          dx = x_min - fx;
          let n = u32(dx / range);
          let r = dx - f32(n) * range;
          if (n % 2 == 0) {
            fx = x_min + r;
          } else {
            fx = x_max - r;
          }
        } else if (fx > x_max) {
          dx = fx - x_max;
          let n = u32(dx / range);
          let r = dx - f32(n) * range;
          if (n % 2 == 0) {
            fx = x_max - r;
          } else {
            fx = x_min + r;
          }
        }
        return u32(fx);
      }`:""}
`,Ph=(s,i,l)=>`
  fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4<f32>) -> ${i} {
     var pixel = ${i}(0);
     var indices = vec4<u32>(0);
     indices[${ms}] = batch;
     indices[${As}] = channel;`+(()=>{switch(l.paddingMode){case"zeros":return`
          if (r >= 0 && r < H && c >=0 && c < W) {
            indices[${Hs}] = u32(r);
            indices[${ha}] = u32(c);
          }
        `;case"border":return`
          indices[${Hs}] = u32(clamp(r, 0, H - 1));
          indices[${ha}] = u32(clamp(c, 0, W - 1));
        `;case"reflection":return`
          indices[${Hs}] = gs_reflect(r, border[1], border[3]);
          indices[${ha}] = gs_reflect(c, border[0], border[2]);
        `;default:throw new Error(`padding mode ${l.paddingMode} is not supported`)}})()+`
    return ${s.getByIndices("indices")};
  }
`,Ch=(s,i,l)=>(()=>{switch(l.mode){case"nearest":return`
          let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${ms}], indices[${As}], border);
        `;case"bilinear":return`
          let x1 = i32(floor(x));
          let y1 = i32(floor(y));
          let x2 = x1 + 1;
          let y2 = y1 + 1;

          let p11 = pixel_at_grid(y1, x1, H_in, W_in, indices[${ms}], indices[${As}], border);
          let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${ms}], indices[${As}], border);
          let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${ms}], indices[${As}], border);
          let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${ms}], indices[${As}], border);

          let dx2 = ${i}(f32(x2) - x);
          let dx1 = ${i}(x - f32(x1));
          let dy2 = ${i}(f32(y2) - y);
          let dy1 = ${i}(y - f32(y1));
          let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22);
        `;case"bicubic":return`
          let x0 = i32(floor(x)) - 1;
          let y0 = i32(floor(y)) - 1;
          var p: mat4x4<${i}>;
          for (var h = 0; h < 4; h++) {
            for (var w = 0; w < 4; w++) {
              p[h][w] = pixel_at_grid(h + y0, w + x0, H_in, W_in, indices[${ms}], indices[${As}], border);
            }
          }

          let dx = x - f32(x0 + 1);
          let dy = y - f32(y0 + 1);
          let result = gs_bicubic_interpolate(p, dx, dy);
        `;default:throw new Error(`mode ${l.mode} is not supported`)}})()+`${s.setByOffset("global_idx","result")}`,Sh=(s,i)=>{let l=Qe("x",s[0].dataType,s[0].dims.length),f=[s[1].dims[0],s[1].dims[1],s[1].dims[2]],p=Qe("grid",s[1].dataType,f.length,2),g=[s[0].dims[0],s[0].dims[1],s[1].dims[1],s[1].dims[2]];i.format==="NHWC"&&(g=[s[0].dims[0],s[1].dims[1],s[1].dims[2],s[0].dims[3]],[ms,As,Hs,ha]=[0,3,1,2]);let m=Dt("output",s[0].dataType,g.length),v=l.type.value,x=ze.size(g),P=[{type:12,data:x},...xt(s[0].dims,f,g)],D=R=>`
  ${R.registerUniform("output_size","u32").declareVariables(l,p,m)}
  ${Wu}
  ${xh(v)}
  ${Mh(i)}
  ${Qi(i)}
  ${Ph(l,v,i)}

  ${R.mainStart()}
    ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let H_in = i32(uniforms.x_shape[${Hs}]);
      let W_in = i32(uniforms.x_shape[${ha}]);

      ${i.alignCorners===0?`
      let x_min = -0.5;
      let x_max = f32(W_in) - 0.5;
      let y_min = -0.5;
      let y_max = f32(H_in) - 0.5;
      `:`
      let x_min = 0.0;
      let x_max = f32(W_in) - 1.0;
      let y_min = 0.0;
      let y_max = f32(H_in) - 1.0;
      `};
      let border = vec4<f32>(x_min, y_min, x_max, y_max);

      let indices = ${m.offsetToIndices("global_idx")};
      var grid_indices = vec3<u32>(indices[${ms}], indices[${Hs}], indices[${ha}]);
      let nxy = ${p.getByIndices("grid_indices")};
      var x = gs_denormalize(f32(nxy[0]), W_in);
      var y = gs_denormalize(f32(nxy[1]), H_in);

      ${Ch(m,v,i)}
  }`;return{name:"GridSample",shaderCache:{hint:`${i.cacheKey}`,inputDependencies:["type","type"]},getRunData:R=>{let E=ze.size(g);return{outputs:[{dims:g,dataType:R[0].dataType}],dispatchGroup:{x:Math.ceil(E/64)},programUniforms:P}},getShaderSource:D}},Ah=(s,i)=>{Th(s.inputs),s.compute(Sh(s.inputs,i))},Gu=s=>Gt({alignCorners:s.align_corners,mode:s.mode,paddingMode:s.padding_mode,format:s.format})}),Dn,kh,Ih,Ji,$h,oi,Ku,Oh=c(()=>{Wt(),jt(),mr(),fe(),qo(),or(),Vs(),Dn=(s,i)=>s.length>i&&s[i].dims.length>0?s[i]:void 0,kh=(s,i)=>{let l=s[0],f=Dn(s,1),p=Dn(s,2),g=Dn(s,3),m=Dn(s,4),v=Dn(s,5),x=Dn(s,6),P=Dn(s,7);if(l.dims.length!==3&&l.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let D=l.dims[0],R=l.dims[1],E=l.dims.length===3?l.dims[2]:i.numHeads*l.dims[4],K=R,q=0,Y=0,ne=Math.floor(E/i.numHeads);if(x&&P&&ze.size(x.dims)&&ze.size(P.dims)){if(x.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(x.dims[0]!==D||x.dims[1]!==i.numHeads||x.dims[3]!==ne)throw new Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(P.dims[0]!==D||P.dims[1]!==i.numHeads||P.dims[3]!==ne)throw new Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(x.dims[2]!==P.dims[2])throw new Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(P.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');q=x.dims[2],Y=x.dims[2]}else if(x&&ze.size(x.dims)||P&&ze.size(P.dims))throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let se;if(f&&ze.size(f.dims)>0){if(l.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(f.dims.length<3||f.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(l.dims[0]!==f.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(f.dims.length===3){if(f.dims[2]!==l.dims[2])throw new Error('Input "query" and "key" shall have same dim 2 (hidden_size)');se=2,K=f.dims[1]}else if(f.dims.length===5){if(f.dims[2]!==i.numHeads||f.dims[3]!==2||f.dims[4]!==ne)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(p)throw new Error('Expect "value" be none when "key" has packed kv format.');se=5,K=f.dims[1]}else{if(f.dims[1]!==i.numHeads||f.dims[3]!==ne)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');se=0,K=f.dims[2]}}else{if(l.dims.length!==5)throw new Error('Input "query" is expected to have 5 dimensions when key is empty');if(l.dims[2]!==i.numHeads||l.dims[3]!==3)throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');se=3}if(g&&ze.size(g.dims)>0){if(g.dims.length!==1)throw new Error('Input "bias" is expected to have 1 dimension');if(f&&f.dims.length===5&&f.dims[3]===2)throw new Error("bias is not allowed for packed kv.")}let te=q+K,ye=0;if(m&&ze.size(m.dims)>0){ye=8;let je=m.dims;throw je.length===1?je[0]===D?ye=1:je[0]===3*D+2&&(ye=3):je.length===2&&je[0]===D&&je[1]===te&&(ye=5),ye===8?new Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):new Error("Mask not supported")}let be=!1,Ce=E;if(p&&ze.size(p.dims)>0){if(p.dims.length!==3&&p.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(l.dims[0]!==p.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(p.dims.length===3){if(K!==p.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');Ce=p.dims[2]}else{if(K!==p.dims[2])throw new Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');Ce=p.dims[1]*p.dims[3],be=!0}}let Be=!1;if(m&&ze.size(m.dims)>0)throw new Error("Key padding mask is not supported");if(v&&ze.size(v.dims)>0){if(v.dims.length!==4)throw new Error('Input "attention_bias" is expected to have 4 dimensions');if(v.dims[0]!==D||v.dims[1]!==i.numHeads||v.dims[2]!==R||v.dims[3]!==te)throw new Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:D,sequenceLength:R,pastSequenceLength:q,kvSequenceLength:K,totalSequenceLength:te,maxSequenceLength:Y,inputHiddenSize:0,hiddenSize:E,vHiddenSize:Ce,headSize:ne,vHeadSize:Math.floor(Ce/i.numHeads),numHeads:i.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:i.maskFilterValue,maskType:ye,scale:i.scale,broadcastResPosBias:Be,passPastInKv:be,qkvFormat:se}},Ih=s=>Gt({...s}),Ji=Gt({perm:[0,2,1,3]}),$h=(s,i,l,f,p,g,m)=>{let v=[f,p,g],x=ze.size(v),P=[{type:12,data:x},{type:12,data:m},{type:12,data:g}],D=R=>{let E=Dt("qkv_with_bias",i.dataType,v),K=Qe("qkv",i.dataType,v),q=Qe("bias",l.dataType,v),Y=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
  ${R.registerUniforms(Y).declareVariables(K,q,E)}
  ${R.mainStart()}
    ${R.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 s.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:v,dataType:i.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(x/64)},programUniforms:P}),getShaderSource:D},{inputs:[i,l],outputs:[-1]})[0]},oi=(s,i,l,f,p,g,m,v)=>{let x=g;if(m&&ze.size(m.dims)>0){if(f===1)throw new Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return x=$h(s,g,m,i,f,l*p,v),x=x.reshape([i,f,l,p]),l===1||f===1?x:s.compute(qn(x,Ji.perm),{inputs:[x],outputs:[-1]})[0]}else return g.dims.length===3&&(x=g.reshape([i,f,l,p])),l===1||f===1?x:s.compute(qn(x,Ji.perm),{inputs:[x],outputs:[-1]})[0]},Ku=(s,i)=>{let l=kh(s.inputs,i),f=s.inputs[0],p=Dn(s.inputs,1),g=Dn(s.inputs,2),m=Dn(s.inputs,3),v=Dn(s.inputs,4),x=Dn(s.inputs,5),P=Dn(s.inputs,6),D=Dn(s.inputs,7);if(f.dims.length===5)throw new Error("Packed QKV is not implemented");if((p==null?void 0:p.dims.length)===5)throw new Error("Packed KV is not implemented");let R=p&&g&&p.dims.length===4&&g.dims.length===4,E=oi(s,l.batchSize,l.numHeads,l.sequenceLength,l.headSize,f,m,0);if(R)return ti(s,E,p,g,v,void 0,P,D,x,l);if(!p||!g)throw new Error("key and value must be provided");let K=oi(s,l.batchSize,l.numHeads,l.kvSequenceLength,l.headSize,p,m,l.hiddenSize),q=oi(s,l.batchSize,l.numHeads,l.kvSequenceLength,l.vHeadSize,g,m,2*l.hiddenSize);ti(s,E,K,q,v,void 0,P,D,x,l)}}),Lh,qu,am,im,eo,Zu,Rh,Fh=c(()=>{Wt(),jt(),mr(),or(),Lh=s=>{if(!s||s.length<1)throw new Error("too few inputs")},qu=(s,i)=>{let l=[],f=i.numOutputs;return s[1].dims[0]>0&&(s[1].getBigInt64Array().forEach(p=>l.push(Number(p))),f=l.length),Gt({numOutputs:f,axis:i.axis,splitSizes:l})},am=s=>`
fn calculateOutputIndex(index: u32) -> u32 {
    for (var i: u32 = 0u; i < ${s}u; i += 1u ) {
    if (index < ${Ft("uniforms.size_in_split_axis","i",s)}) {
        return i;
    }
    }
    return ${s}u;
}`,im=s=>{let i=s.length,l=[];for(let f=0;f<i;++f){let p=s[f].setByIndices("indices","input[global_idx]");i===1?l.push(p):f===0?l.push(`if (output_number == ${f}u) { ${p} }`):f===i-1?l.push(`else { ${p} }`):l.push(`else if (output_number == ${f}) { ${p} }`)}return`
      fn writeBufferData(output_number: u32, indices: ${s[0].type.indices}, global_idx: u32) {
        ${l.join(`
`)}
      }`},eo=(s,i)=>{let l=s[0].dims,f=ze.size(l),p=s[0].dataType,g=ze.normalizeAxis(i.axis,l.length),m=new Array(i.numOutputs),v=Qe("input",p,l.length),x=new Array(i.numOutputs),P=[],D=[],R=0,E=[{type:12,data:f}];for(let q=0;q<i.numOutputs;q++){R+=i.splitSizes[q],x[q]=R;let Y=l.slice();Y[g]=i.splitSizes[q],D.push(Y),m[q]=Dt(`output${q}`,p,Y.length),P.push({dims:D[q],dataType:s[0].dataType})}E.push({type:12,data:x},...xt(l,...D));let K=q=>`
  ${q.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",x.length).declareVariables(v,...m)}
  ${am(x.length)}
  ${im(m)}

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

    var indices = ${v.offsetToIndices("global_idx")};
    var index = ${v.indicesGet("indices",g)};
    let output_number = calculateOutputIndex(index);
    if (output_number != 0) {
      index -= ${Ft("uniforms.size_in_split_axis","output_number - 1u",x.length)};
      ${v.indicesSet("indices",g,"index")};
    }
    writeBufferData(output_number, indices, global_idx);
  }`;return{name:"Split",shaderCache:{hint:i.cacheKey,inputDependencies:["rank"]},getShaderSource:K,getRunData:()=>({outputs:P,dispatchGroup:{x:Math.ceil(f/64)},programUniforms:E})}},Zu=(s,i)=>{Lh(s.inputs);let l=s.inputs.length===1?i:qu(s.inputs,i);s.compute(eo(s.inputs,l),{inputs:[0]})},Rh=s=>{let i=s.axis,l=s.splitSizes,f=s.numOutputs<0?l.length:s.numOutputs;if(f!==l.length)throw new Error("numOutputs and splitSizes lengh must be equal");return Gt({axis:i,numOutputs:f,splitSizes:l})}}),Yu,Nh,Xu,Qu,om=c(()=>{mr(),qo(),Oh(),Fh(),Vs(),Yu=(s,i)=>{if(i.doRotary)throw new Error("GroupQuerryAttention do_rotary attribute is not supported");if(i.doRotary&&s.length<=7)throw new Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let l=s[0],f=s[1],p=s[2],g=s[3],m=s[4];if(i.localWindowSize!==-1)throw new Error("Local attention is not supported");if(i.softcap!==0)throw new Error("Softcap is not supported");if(i.rotaryInterleaved!==0)throw new Error("Rotary interleaved is not supported");if(i.smoothSoftmax)throw new Error("Smooth softmax is not supported");if(l.dims.length!==3&&l.dims.length!==5)throw new Error("Input query is expected to have 3 or 5 dimensions");let v=!1,x=l.dims[0],P=l.dims[1],D=l.dims.length===3?v?l.dims[2]/3:l.dims[2]:i.numHeads*l.dims[4],R=P,E=0,K=!f||f.dims.length===0,q=Math.floor(K?D/(i.numHeads+2*i.kvNumHeads):D/i.numHeads);K&&(D=q*i.numHeads);let Y=g&&g.dims.length!==0,ne=m&&m.dims.length!==0;if(Y&&g.dims.length===4&&g.dims[0]===x&&g.dims[1]!==i.kvNumHeads&&g.dims[2]===i.kvNumHeads&&g.dims[3]===q)throw new Error("BSNH pastKey/pastValue is not supported");if(Y&&ne){if(g.dims.length!==4)throw new Error('Input "past_key" is expected to have 4 dimensions');if(m.dims.length!==4)throw new Error('Input "past_value" is expected to have 4 dimensions');E=g.dims[2]}else if(Y||ne)throw new Error('Input "past_key" and "past_value" shall be both present or both absent');let se=1;if(f&&f.dims.length>0){if(l.dims.length!==3)throw new Error('Input "query" is expected to have 3 dimensions when key is given');if(f.dims.length<3||f.dims.length>5)throw new Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(l.dims[0]!==f.dims[0])throw new Error('Input "query" and "key" shall have same dim 0 (batch size)');if(f.dims.length===3){if(l.dims[2]%f.dims[2]!==0)throw new Error('Dimension 2 of "query" should be a multiple of "key"');R=f.dims[1]}else if(f.dims.length===5){if(f.dims[2]!==i.numHeads||f.dims[3]!==2||f.dims[4]!==q)throw new Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(p)throw new Error('Expect "value" be none when "key" has packed kv format.');R=f.dims[1]}else{if(f.dims[1]!==i.numHeads||f.dims[3]!==q)throw new Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');R=f.dims[2]}}else{if(l.dims.length!==3&&l.dims.length!==5)throw new Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(l.dims.length===5&&(l.dims[2]!==i.numHeads||l.dims[3]!==3))throw new Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');se=3}let te=0,ye=!1,be=i.kvNumHeads?q*i.kvNumHeads:D;if(p&&p.dims.length>0){if(p.dims.length!==3&&p.dims.length!==4)throw new Error('Input "value" is expected to have 3 or 4 dimensions');if(l.dims[0]!==p.dims[0])throw new Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(p.dims.length===3){if(R!==p.dims[1])throw new Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');be=p.dims[2]}else{if(R!==p.dims[2])throw new Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');be=p.dims[1]*p.dims[3],ye=!0}}let Ce=s.length>4?s[5]:void 0;if(Ce&&Ce.dims.length!==1&&Ce.dims[0]!==x)throw new Error('Input "seqlens" is expected to have 1 dimension and the same dim 0 as batch_size');return{batchSize:x,sequenceLength:P,pastSequenceLength:E,kvSequenceLength:R,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:D,vHiddenSize:be,headSize:q,vHeadSize:Math.floor(be/i.kvNumHeads),numHeads:i.numHeads,kvNumHeads:i.kvNumHeads,nReps:i.numHeads/i.kvNumHeads,pastPresentShareBuffer:!1,maskType:te,scale:i.scale,broadcastResPosBias:!1,passPastInKv:ye,qkvFormat:se}},Nh=Gt({perm:[0,2,1,3]}),Xu=(s,i,l)=>{let f=i,p=l.kvNumHeads;return i.dims.length===3&&l.kvSequenceLength!==0&&(f=i.reshape([l.batchSize,l.kvSequenceLength,p,l.headSize]),f=s.compute(qn(f,Nh.perm),{inputs:[f],outputs:[-1]})[0]),f},Qu=(s,i)=>{var ne;let l=Yu(s.inputs,i);if(s.inputs[0].dims.length===5)throw new Error("Packed QKV is not implemented");if(((ne=s.inputs[1])==null?void 0:ne.dims.length)===5)throw new Error("Packed KV is not implemented");let f=s.inputs[0],p=s.inputs[1]&&s.inputs[1].dims.length>0?s.inputs[1]:void 0,g=s.inputs[2]&&s.inputs[2].dims.length>0?s.inputs[2]:void 0,m=s.inputs[3]&&s.inputs[3].dims.length!==0?s.inputs[3]:void 0,v=s.inputs[4]&&s.inputs[4].dims.length!==0?s.inputs[4]:void 0,x=s.inputs.length>4?s.inputs[5]:void 0,P=s.inputs.length>5?s.inputs[6]:void 0,D=l.kvNumHeads?l.kvNumHeads:l.numHeads,R=Gt({axis:2,numOutputs:3,splitSizes:[l.numHeads*l.headSize,D*l.headSize,D*l.headSize]}),[E,K,q]=!p&&!g?s.compute(eo([f],R),{inputs:[f],outputs:[-1,-1,-1]}):[f,p,g],Y=oi(s,l.batchSize,l.numHeads,l.sequenceLength,l.headSize,E,void 0,0);ti(s,Y,Xu(s,K,l),Xu(s,q,l),void 0,void 0,m,v,void 0,l,x,P)}}),Ju,el,Dh,Bh,um=c(()=>{Wt(),jt(),Vs(),or(),Ju=(s,i,l,f,p,g,m,v)=>{let x=sr(g),P=x===1?"f32":`vec${x}f`,D=x===1?"vec2f":`mat2x${x}f`,R=p*m,E=64;R===1&&(E=256);let K=[p,m,g/x],q=[p,m,2],Y=["rank","type","type"],ne=[];ne.push(...xt(K,q));let se=te=>{let ye=Qe("x",i.dataType,3,x),be=Qe("scale",l.dataType,l.dims),Ce=Qe("bias",f.dataType,f.dims),Be=Dt("output",1,3,2),je=[ye,be,Ce,Be];return`
  var<workgroup> workgroup_shared : array<${D}, ${E}>;
  const workgroup_size = ${E}u;
  ${te.declareVariables(...je)}
  ${te.mainStart(E)}
    let batch = workgroup_index / uniforms.x_shape[1];
    let channel = workgroup_index % uniforms.x_shape[1];
    let hight = uniforms.x_shape[2];
    // initialize workgroup memory
    var sum = ${P}(0);
    var squared_sum = ${P}(0);
    for (var h = local_idx; h < hight; h += workgroup_size) {
      let value = ${P}(${ye.get("batch","channel","h")});
      sum += value;
      squared_sum += value * value;
    }
    workgroup_shared[local_idx] = ${D}(sum, squared_sum);
    workgroupBarrier();

    for (var currSize = workgroup_size >> 1;  currSize > 0; currSize = currSize >> 1) {
      if (local_idx < currSize) {
        workgroup_shared[local_idx] = workgroup_shared[local_idx] + workgroup_shared[local_idx + currSize];
      }
      workgroupBarrier();
    }
    if (local_idx == 0) {
      let sum_final = ${_n("workgroup_shared[0][0]",x)} / f32(hight * ${x});
      let squared_sum_final = ${_n("workgroup_shared[0][1]",x)} / f32(hight * ${x});

      let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${v}));
      let channel_scale = inv_std_dev * f32(scale[channel]);
      let channel_shift = f32(bias[channel]) - sum_final * channel_scale;
      output[workgroup_index] = vec2f(channel_scale, channel_shift);
    }
  }`};return s.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${x};${v};${E}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:q,dataType:1}],dispatchGroup:{x:R},programUniforms:ne}),getShaderSource:se},{inputs:[i,l,f],outputs:[-1]})[0]},el=(s,i,l)=>{let f=i[0].dims,p=f,g=2,m=f[0],v=f[1],x=ze.sizeFromDimension(f,g),P=sr(x),D=ze.size(p)/P,R=Ju(s,i[0],i[1],i[2],m,x,v,l.epsilon),E=[m,v,x/P],K=[m,v],q=["type","none"],Y=ne=>{let se=Qe("x",i[0].dataType,E.length,P),te=Qe("scale_shift",1,K.length,2),ye=Dt("output",i[0].dataType,E.length,P),be=[se,te,ye];return`
  ${ne.registerUniform("output_size","u32").declareVariables(...be)}
  ${ne.mainStart()}
  ${ne.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let outputIndices = ${ye.offsetToIndices("global_idx")};
      let batch = outputIndices[0];
      let channel = outputIndices[1];
      let scale_shift = ${te.getByIndices("vec2<u32>(batch, channel)")};
      let value = ${se.getByOffset("global_idx")} * ${ye.type.value}(scale_shift.x) + ${ye.type.value}(scale_shift.y);
      ${ye.setByOffset("global_idx","value")};
  }`};s.compute({name:"InstanceNormalization",shaderCache:{hint:`${P}`,inputDependencies:q},getRunData:()=>({outputs:[{dims:p,dataType:i[0].dataType}],dispatchGroup:{x:Math.ceil(D/64)},programUniforms:[{type:12,data:D},...xt(E,K,E)]}),getShaderSource:Y},{inputs:[i[0],R]})},Dh=(s,i,l)=>{let f=i[0].dims,p=f,g=f[0],m=f[f.length-1],v=ze.sizeFromDimension(f,1)/m,x=sr(m),P=ze.size(p)/x,D=[{type:12,data:v},{type:12,data:Math.floor(m/x)}],R=["type","type"],E=!1,K=[0,f.length-1];for(let se=0;se<f.length-2;se++)E=E||f[se+1]!==1,K.push(se+1);E=E&&f[f.length-1]!==1;let q=E?s.compute(qn(s.inputs[0],K),{inputs:[s.inputs[0]],outputs:[-1]})[0]:s.inputs[0].reshape(Array.from({length:f.length},(se,te)=>f[K[te]])),Y=Ju(s,q,i[1],i[2],g,v,m,l.epsilon),ne=se=>{let te=Ir(i[0].dataType),ye=x===1?"vec2f":`mat${x}x2f`,be=je=>{let tt=je===0?"x":"y",lt=x===1?"f32":`vec${x}f`;switch(x){case 1:return`${te}(${lt}(scale.${tt}))`;case 2:return`vec2<${te}>(${lt}(scale[0].${tt}, scale[1].${tt}))`;case 4:return`vec4<${te}>(${lt}(scale[0].${tt}, scale[1].${tt}, scale[2].${tt}, scale[3].${tt}))`;default:throw new Error(`Not supported compoents ${x}`)}},Ce=Qe("input",i[0].dataType,i[0].dims,x),Be=Dt("output",i[0].dataType,p,x);return`
  @group(0) @binding(0) var<storage, read> input : array<${Ce.type.storage}>;
  @group(0) @binding(1) var<storage, read> scale_input : array<${ye}>;
  @group(0) @binding(2) var<storage, read_write> output : array<${Be.type.storage}>;
  struct Uniforms {H: u32, C : u32};
  @group(0) @binding(3) var<uniform> uniforms: Uniforms;

  ${se.mainStart()}
    let current_image_number = global_idx / (uniforms.C * uniforms.H);
    let current_channel_number = global_idx % uniforms.C;

    let scale_offset = current_image_number * uniforms.C + current_channel_number;
    let scale = scale_input[scale_offset];
    output[global_idx] = fma(input[global_idx], ${be(0)}, ${be(1)});
  }`};s.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${x}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:p,dataType:i[0].dataType}],dispatchGroup:{x:Math.ceil(P/64)},programUniforms:D}),getShaderSource:ne},{inputs:[i[0],Y]})},Bh=(s,i)=>{i.format==="NHWC"?Dh(s,s.inputs,i):el(s,s.inputs,i)}}),jh,zh,Uh,lm=c(()=>{Wt(),jt(),or(),jh=s=>{if(!s||s.length<2)throw new Error("layerNorm requires at least 2 inputs.")},zh=(s,i,l)=>{let f=i.simplified,p=s[0].dims,g=s[1],m=!f&&s[2],v=p,x=ze.normalizeAxis(i.axis,p.length),P=ze.sizeToDimension(p,x),D=ze.sizeFromDimension(p,x),R=ze.size(g.dims),E=m?ze.size(m.dims):0;if(R!==D||m&&E!==D)throw new Error(`Size of X.shape()[axis:] == ${D}.
       Size of scale and bias (if provided) must match this.
       Got scale size of ${R} and bias size of ${E}`);let K=[];for(let Ce=0;Ce<p.length;++Ce)Ce<x?K.push(p[Ce]):K.push(1);let q=sr(D),Y=["type","type"],ne=[{type:12,data:P},{type:1,data:D},{type:12,data:Math.floor(D/q)},{type:1,data:i.epsilon}];m&&Y.push("type");let se=l>1,te=l>2,ye=Ce=>{let Be=Ir(s[0].dataType),je=[Qe("x",s[0].dataType,s[0].dims,q),Qe("scale",g.dataType,g.dims,q)];m&&je.push(Qe("bias",m.dataType,m.dims,q)),je.push(Dt("output",s[0].dataType,v,q)),se&&je.push(Dt("mean_data_output",1,K)),te&&je.push(Dt("inv_std_output",1,K));let tt=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
  ${Ce.registerUniforms(tt).declareVariables(...je)}
  ${Ce.mainStart()}
    ${Ce.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
    let offset = global_idx * uniforms.norm_size_vectorized;
    var mean_vector = ${sn("f32",q)};
    var mean_square_vector = ${sn("f32",q)};

    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
      let value = ${Jr(Be,q,"x[h + offset]")};
      mean_vector += value;
      mean_square_vector += value * value;
    }
    let mean = ${_n("mean_vector",q)} / uniforms.norm_size;
    let inv_std_dev = inverseSqrt(${_n("mean_square_vector",q)} / uniforms.norm_size ${f?"":"- mean * mean"} + uniforms.epsilon);

    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
      let f32input = ${Jr(Be,q,"x[j + offset]")};
      let f32scale = ${Jr(Be,q,"scale[j]")};
      output[j + offset] = ${je[0].type.value}((f32input ${f?"":"- mean"}) * inv_std_dev * f32scale
        ${m?`+ ${Jr(Be,q,"bias[j]")}`:""}
      );
    }

    ${se?"mean_data_output[global_idx] = mean":""};
    ${te?"inv_std_output[global_idx] = inv_std_dev":""};
  }`},be=[{dims:v,dataType:s[0].dataType}];return se&&be.push({dims:K,dataType:1}),te&&be.push({dims:K,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${q};${l};${f}`,inputDependencies:Y},getRunData:()=>({outputs:be,dispatchGroup:{x:Math.ceil(P/64)},programUniforms:ne}),getShaderSource:ye}},Uh=(s,i)=>{jh(s.inputs),s.compute(zh(s.inputs,i,s.outputCount))}}),Vh,Wh,Gh=c(()=>{jt(),Eu(),Cu(),Vh=s=>{if(!s||s.length!==2)throw new Error("MatMul requires 2 inputs.");if(s[0].dims[s[0].dims.length-1]!==s[1].dims[s[1].dims.length-2])throw new Error("shared dimension does not match.")},Wh=s=>{Vh(s.inputs);let i=mn.calcShape(s.inputs[0].dims,s.inputs[1].dims,!0);if(!i)throw new Error("Can't use matmul on the given tensors");let l=i[i.length-1],f=s.inputs[0].dims[s.inputs[0].dims.length-1];if(l<8&&f<8)s.compute(vu(s.inputs,{activation:""},i));else{let p=i[i.length-2],g=ze.size(s.inputs[0].dims.slice(0,-2)),m=ze.size(s.inputs[1].dims.slice(0,-2));if(g!==1&&p===1&&m===1){let v=s.inputs[0].reshape([1,g,f]),x=s.inputs[1].reshape([1,f,l]),P=[1,g,l],D=[v,x];s.compute(Vi(D,{activation:""},i,P),{inputs:D})}else s.compute(Vi(s.inputs,{activation:""},i))}}}),Hh,Kh,tl,qh,Zh,Fr=c(()=>{Wt(),jt(),mr(),or(),Hh=(s,i)=>{if(s.length<3||s.length>4)throw new Error("MatMulNBits requires 3 or 4 inputs");let l=s[0],f=l.dims.length;if(l.dims[f-1]!==i.k)throw new Error("The last dim of input shape does not match the k value");let p=Math.floor((i.k+i.blockSize-1)/i.blockSize),g=i.blockSize/8*i.bits,m=s[1];if(!ze.areEqual(m.dims,[i.n,p,g]))throw new Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let v=s[2].dims;if(ze.size(v)!==i.n*p)throw new Error("scales input size error.");if(s.length===4){let x=s[3].dims,P=i.bits>4?i.n*p:i.n*Math.floor((p+1)/2);if(ze.size(x)!==P)throw new Error("zeroPoints input size error.")}},Kh=(s,i)=>{let l=s[0].dims,f=l.length,p=l[f-2],g=i.k,m=i.n,v=l.slice(0,f-2),x=ze.size(v),P=s[1].dims[2]/4,D=s[0].dataType,R=sr(i.k),E=sr(P),K=sr(m),q=v.concat([p,m]),Y=p>1&&m/K%2===0?2:1,ne=ze.size(q)/K/Y,se=64,te=[],ye=[x,p,g/R],be=ze.convertShape(s[1].dims).slice();be.splice(-1,1,P/E),te.push(...xt(ye)),te.push(...xt(be)),te.push(...xt(s[2].dims)),s.length===4&&te.push(...xt(ze.convertShape(s[3].dims)));let Ce=[x,p,m/K];te.push(...xt(Ce));let Be=je=>{let tt=ye.length,lt=Qe("a",s[0].dataType,tt,R),kt=Qe("b",12,be.length,E),ir=Qe("scales",s[2].dataType,s[2].dims.length),cr=[lt,kt,ir],Pt=s.length===4?Qe("zero_points",12,s[3].dims.length):void 0;Pt&&cr.push(Pt);let pr=Ce.length,Rt=Dt("output",s[0].dataType,pr,K),zt=Ir(s[0].dataType),Br=(()=>{switch(R){case 1:return`array<${zt}, 8>`;case 2:return`mat4x2<${zt}>`;case 4:return`mat2x4<${zt}>`;default:throw new Error(`${R}-component is not supported.`)}})(),rr=()=>{let ut=`
          // reuse a data
            var input_offset = ${lt.indicesToOffset(`${lt.type.indices}(batch, row, word_offset)`)};
            var a_data: ${Br};
            for (var j: u32 = 0; j < ${8/R}; j++) {
              a_data[j] = ${lt.getByOffset("input_offset")};
              input_offset++;
            }
          `;for(let It=0;It<K*Y;It++)ut+=`
            b_value = ${E===1?`b${It}_data`:`b${It}_data[i]`};
            b_value_lower = unpack4xU8(b_value & b_mask);
            b_value_upper = unpack4xU8((b_value >> 4) & b_mask);
            b_quantized_values = ${Br}(${Array.from({length:4},(Sr,ln)=>`${zt}(b_value_lower[${ln}]), ${zt}(b_value_upper[${ln}])`).join(", ")});
            b_dequantized_values = ${R===1?`${Br}(${Array.from({length:8},(Sr,ln)=>`(b_quantized_values[${ln}] - ${Pt?`zero_point${It}`:"zero_point"}) * scale${It}`).join(", ")});`:`(b_quantized_values - ${Br}(${Array(8).fill(`${Pt?`zero_point${It}`:"zero_point"}`).join(",")})) * scale${It};`};
            workgroup_shared[local_id.x * ${Y} + ${Math.floor(It/K)}]${K>1?`[${It%K}]`:""} += ${Array.from({length:8/R},(Sr,ln)=>`${R===1?`a_data[${ln}] * b_dequantized_values[${ln}]`:`dot(a_data[${ln}], b_dequantized_values[${ln}])`}`).join(" + ")};
          `;return ut},Kt=()=>{let ut=`
            var col_index = col * ${K};
            ${Pt?`
            let zero_point_bytes_per_col = (nBlocksPerCol + 1) / 2;
            var zero_point_byte_count: u32;
            var zero_point_word_index: u32;
            var zero_point_byte_offset: u32;
            let zero_point_nibble_offset: u32 = block & 0x1u;
            var zero_point_bits_offset: u32;
            var zero_point_word: u32;`:`
            // The default zero point is 8 for unsigned 4-bit quantization.
            let zero_point = ${zt}(8);`}
            `;for(let It=0;It<K*Y;It++)ut+=`
            let scale${It} = ${ir.getByOffset("col_index * nBlocksPerCol + block")};
            ${Pt?`
            zero_point_byte_count = col_index * zero_point_bytes_per_col + (block >> 0x1u);
            zero_point_word_index = zero_point_byte_count >> 0x2u;
            zero_point_byte_offset = zero_point_byte_count & 0x3u;
            zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
            zero_point_word = ${Pt.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point${It} = ${zt}((zero_point_word) & 0xFu);`:""}
            col_index += 1;`;return ut},Or=()=>{let ut=`col_index = col * ${K};`;for(let It=0;It<K*Y;It++)ut+=`
            let b${It}_data = ${kt.getByIndices(`${kt.type.indices}(col_index, block, word)`)};
            col_index += 1;`;return ut+=`
            var b_value: u32;
            let b_mask: u32 = 0x0F0F0F0Fu;
            var b_value_lower: vec4<u32>;
            var b_value_upper: vec4<u32>;
            var b_quantized_values: ${Br};
            var b_dequantized_values: ${Br};`,ut};return`
        var<workgroup> workgroup_shared: array<${Rt.type.value}, ${Y*se}>;
        ${je.declareVariables(...cr,Rt)}
        ${je.mainStart([se,1,1])}
          let output_indices = ${Rt.offsetToIndices(`(global_idx / ${se}) * ${Y}`)};
          let col = output_indices[2];
          let row = output_indices[1];
          let batch = output_indices[0];
          let nBlocksPerCol = uniforms.b_shape[1];

          for (var block = local_id.x; block < nBlocksPerCol; block += ${se}) {
            //process one block
            var word_offset: u32 = block * ${i.blockSize/R};
            ${Kt()}
            for (var word: u32 = 0; word < ${P}; word += ${E}) {
              ${Or()}
              for (var i: u32 = 0; i < ${E}; i++) {
                ${rr()}
                word_offset += ${8/R};
              }
            }
          }
          workgroupBarrier();

          if (local_id.x < ${Y}) {
            var output_value: ${Rt.type.value} = ${Rt.type.value}(0);
            var workgroup_shared_offset: u32 = local_id.x;
            for (var b: u32 = 0u; b < ${se}u; b++) {
              output_value += workgroup_shared[workgroup_shared_offset];
              workgroup_shared_offset += ${Y};
            }
            ${Rt.setByIndices(`${Rt.type.indices}(batch, row, col + local_id.x)`,"output_value")};
          }
        }`};return{name:"MatMulNBits",shaderCache:{hint:`${i.blockSize};${i.bits};${R};${E};${K};${Y};${se}`,inputDependencies:Array(s.length).fill("rank")},getRunData:()=>({outputs:[{dims:q,dataType:D}],dispatchGroup:{x:ne},programUniforms:te}),getShaderSource:Be}},tl=(s,i)=>{let l=s[0].dims,f=l.length,p=l[f-2],g=i.k,m=i.n,v=l.slice(0,f-2),x=ze.size(v),P=s[1].dims[2]/4,D=s[0].dataType,R=sr(i.k),E=sr(P),K=v.concat([p,m]),q=128,Y=m%8===0?8:m%4===0?4:1,ne=q/Y,se=ne*E*8,te=se/R,ye=se/i.blockSize,be=ze.size(K)/Y,Ce=[],Be=[x,p,g/R],je=ze.convertShape(s[1].dims).slice();je.splice(-1,1,P/E),Ce.push(...xt(Be)),Ce.push(...xt(je)),Ce.push(...xt(s[2].dims)),s.length===4&&Ce.push(...xt(ze.convertShape(s[3].dims)));let tt=[x,p,m];Ce.push(...xt(tt));let lt=kt=>{let ir=Be.length,cr=Qe("a",s[0].dataType,ir,R),Pt=Qe("b",12,je.length,E),pr=Qe("scales",s[2].dataType,s[2].dims.length),Rt=[cr,Pt,pr],zt=s.length===4?Qe("zero_points",12,s[3].dims.length):void 0;zt&&Rt.push(zt);let Br=tt.length,rr=Dt("output",s[0].dataType,Br),Kt=Ir(s[0].dataType),Or=()=>{switch(R){case 1:return`
          let a_data0 = vec4<${Kt}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]);
          let a_data1 = vec4<${Kt}>(sub_a[word_offset + 4], sub_a[word_offset + 5], sub_a[word_offset + 6], sub_a[word_offset + 7]);`;case 2:return`
          let a_data0 = vec4<${Kt}>(sub_a[word_offset], sub_a[word_offset + 1]);
          let a_data1 = vec4<${Kt}>(sub_a[word_offset + 2], sub_a[word_offset + 3]);`;case 4:return`
          let a_data0 = sub_a[word_offset];
          let a_data1 = sub_a[word_offset + 1];`;default:throw new Error(`${R}-component is not supported.`)}};return`
        var<workgroup> sub_a: array<${cr.type.value}, ${te}>;
        var<workgroup> inter_results: array<array<${rr.type.value}, ${ne}>, ${Y}>;
        ${kt.declareVariables(...Rt,rr)}
        ${kt.mainStart([ne,Y,1])}
          let output_indices = ${rr.offsetToIndices(`workgroup_index * ${Y}`)};
          let col = output_indices[2];
          let row = output_indices[1];
          let batch = output_indices[0];
          let n_blocks_per_col = uniforms.b_shape[1];
          let num_tiles =  (n_blocks_per_col - 1) / ${ye} + 1;

          // Loop over shared dimension.
          for (var tile: u32 = 0; tile < num_tiles; tile += 1) {
            let a_col_start = tile * ${te};
            // load one tile A data into shared memory.
            for (var a_offset = local_idx; a_offset < ${te}; a_offset += ${q})
            {
              let a_col = a_col_start + a_offset;
              if (a_col < uniforms.a_shape[2])
              {
                sub_a[a_offset] = ${cr.getByIndices(`${cr.type.indices}(batch, row, a_col)`)};
              } else {
                sub_a[a_offset] = ${cr.type.value}(0);
              }
            }
            workgroupBarrier();

            // each thread process one block
            let b_row = col + local_id.y;
            let block = tile * ${ye} + local_id.x;
            ${zt?`
            let zero_point_bytes_per_col = (n_blocks_per_col + 1) / 2;
            let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block >> 0x1u);
            let zero_point_word_index = zero_point_byte_count >> 0x2u;
            let zero_point_byte_offset = zero_point_byte_count & 0x3u;
            let zero_point_nibble_offset: u32 = block & 0x1u;
            let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_nibble_offset << 2);
            let zero_point_word = ${zt.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point = ${Kt}((zero_point_word) & 0xFu);`:`
            // The default zero point is 8 for unsigned 4-bit quantization.
            let zero_point = ${Kt}(8);`}
            let scale = ${pr.getByOffset("b_row * n_blocks_per_col + block")};
            let b_data = ${Pt.getByIndices(`${Pt.type.indices}(b_row, block, 0)`)};
            var word_offset = local_id.x * ${i.blockSize/R};
            for (var i: u32 = 0; i < ${E}; i++) {
              ${Or()}
              let b_value = ${E===1?"b_data":"b_data[i]"};
              let b_value_lower = unpack4xU8(b_value & 0x0F0F0F0Fu);
              let b_value_upper = unpack4xU8((b_value >> 4) & 0x0F0F0F0Fu);
              let b_quantized_values = mat2x4<${Kt}>(${Array.from({length:4},(ut,It)=>`${Kt}(b_value_lower[${It}]), ${Kt}(b_value_upper[${It}])`).join(", ")});
              let b_dequantized_values = (b_quantized_values - mat2x4<${Kt}>(${Array(8).fill("zero_point").join(",")})) * scale;
              inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(ut,It)=>`${`dot(a_data${It}, b_dequantized_values[${It}])`}`).join(" + ")};
              word_offset += ${8/R};
            }
            workgroupBarrier();
          }

          if (local_idx < ${Y}) {
            var output_value: ${rr.type.value} = ${rr.type.value}(0);
            for (var b = 0u; b < ${ne}; b++) {
              output_value += inter_results[local_idx][b];
            }
            if (col + local_idx < uniforms.output_shape[2])
            {
              ${rr.setByIndices(`${rr.type.indices}(batch, row, col + local_idx)`,"output_value")}
            }
          }
        }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${i.blockSize};${R};${E};${ne};${Y}`,inputDependencies:Array(s.length).fill("rank")},getRunData:()=>({outputs:[{dims:K,dataType:D}],dispatchGroup:{x:be},programUniforms:Ce}),getShaderSource:lt}},qh=(s,i)=>{Hh(s.inputs,i),i.blockSize===32&&s.adapterInfo.isVendor("intel")&&s.adapterInfo.isArchitecture("gen-12lp")?s.compute(tl(s.inputs,i)):s.compute(Kh(s.inputs,i))},Zh=s=>Gt(s)}),cm,dm,hm,rl,Yh,Xh,Qh,Jh,nl,ef=c(()=>{Wt(),jt(),or(),cm=s=>{if(!s||s.length<1)throw new Error("Too few inputs");if(s[0].dataType!==1&&s[0].dataType!==10)throw new Error("Input type must be float or float16.");if(s.length>=2){let i=s[0].dims.length*2===s[1].dims[0];if(s.length===4&&(i=s[3].dims[0]*2===s[1].dims[0]),!i)throw new Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},dm=(s,i,l)=>{let f="";for(let p=i-1;p>=0;--p)f+=`
            k = i32(${s.indicesGet("indices",p)}) - ${Ft("uniforms.pads",p,l)};
            if (k < 0) {
              break;
            }
            if (k >= i32(${Ft("uniforms.x_shape",p,i)})) {
              break;
            }
            offset += k * i32(${Ft("uniforms.x_strides",p,i)});
        `;return`
          value = ${s.type.value}(uniforms.constant_value);
          for (var i = 0; i < 1; i++) {
            var offset = 0;
            var k = 0;
            ${f}
            value = x[offset];
          }
      `},hm=(s,i,l)=>{let f="";for(let p=i-1;p>=0;--p)f+=`
                k = i32(${s.indicesGet("indices",p)}) - ${Ft("uniforms.pads",p,l)};
                if (k < 0) {
                  k = -k;
                }
                {
                  let _2n_1 = 2 * (i32(${Ft("uniforms.x_shape",p,i)}) - 1);
                  k = k % _2n_1;
                  if(k >= i32(${Ft("uniforms.x_shape",p,i)})) {
                    k = _2n_1 - k;
                  }
                }
                offset += k * i32(${Ft("uniforms.x_strides",p,i)});
            `;return`
              var offset = 0;
              var k = 0;
              ${f}
              value = x[offset];
          `},rl=(s,i,l)=>{let f="";for(let p=i-1;p>=0;--p)f+=`
                k = i32(${s.indicesGet("indices",p)}) - ${Ft("uniforms.pads",p,l)};
                if (k < 0) {
                  k = 0;
                }
                if (k >= i32(${Ft("uniforms.x_shape",p,i)})) {
                  k = i32(${Ft("uniforms.x_shape",p,i)}) - 1;
                }
                offset += k * i32(${Ft("uniforms.x_strides",p,i)});
            `;return`
              var offset = 0;
              var k = 0;
              ${f}
              value = x[offset];
          `},Yh=(s,i,l)=>{let f="";for(let p=i-1;p>=0;--p)f+=`
                k = i32(${s.indicesGet("indices",p)}) - ${Ft("uniforms.pads",p,l)};
                if (k < 0)  {
                  k += i32(${Ft("uniforms.x_shape",p,i)}]);
                }
                if (k >= i32(${Ft("uniforms.x_shape",p,i)})) {
                  k -= i32(${Ft("uniforms.x_shape",p,i)});
                }
                offset += k * i32(${Ft("uniforms.x_strides",p,i)});
            `;return`
              var offset = 0;
              var k = 0;
              ${f}
              value = x[offset];
          `},Xh=(s,i,l)=>{switch(l.mode){case 0:return dm(s,i,l.pads.length);case 1:return hm(s,i,l.pads.length);case 2:return rl(s,i,l.pads.length);case 3:return Yh(s,i,l.pads.length);default:throw new Error("Invalid mode")}},Qh=(s,i)=>{let l=ze.padShape(s[0].dims.slice(),i.pads),f=s[0].dims,p=ze.size(l),g=[{type:12,data:p},{type:6,data:i.pads}],m=s.length>=3&&s[2].data;i.mode===0&&g.push({type:m?s[2].dataType:1,data:i.value}),g.push(...xt(s[0].dims,l));let v=["rank"],x=P=>{let D=Dt("output",s[0].dataType,l.length),R=Qe("x",s[0].dataType,f.length),E=R.type.value,K=Xh(D,f.length,i),q=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:i.pads.length}];return i.mode===0&&q.push({name:"constant_value",type:m?E:"f32"}),`
            ${P.registerUniforms(q).declareVariables(R,D)}
            ${P.mainStart()}
            ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

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

            var value = ${E}(0);
            ${K}
            output[global_idx] = value;
        }`};return{name:"Pad",shaderCache:{hint:`${i.mode}${m}`,inputDependencies:v},getRunData:()=>({outputs:[{dims:l,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(ze.size(l)/64)},programUniforms:g}),getShaderSource:x}},Jh=(s,i)=>{if(s.length>1){let l=s[1].getBigInt64Array(),f=s.length>=3&&s[2].data?s[2].dataType===10?s[2].getUint16Array()[0]:s[2].getFloat32Array()[0]:0,p=s[0].dims.length,g=new Int32Array(2*p).fill(0);if(s.length>=4){let v=s[3].getBigInt64Array();for(let x=0;x<v.length;x++)g[Number(v[x])]=Number(l[x]),g[Number(v[x])+p]=Number(l[x+v.length])}else l.forEach((v,x)=>g[Number(x)]=Number(v));let m=[];return g.forEach(v=>m.push(v)),{mode:i.mode,value:f,pads:m}}else return i},nl=(s,i)=>{cm(s.inputs);let l=Jh(s.inputs,i);s.compute(Qh(s.inputs,l),{inputs:[0]})}}),to,sl,al,ro,tf,fm,rf,il,ol,nf,sf,ul,af,of,ll,uf,lf,cf,pm,mm=c(()=>{Ze(),Wt(),jt(),or(),to=s=>{if(j.webgpu.validateInputContent&&(!s||s.length!==1))throw new Error("Pool ops requires 1 input.")},sl=(s,i,l)=>{let f=i.format==="NHWC",p=s.dims.slice();f&&p.splice(1,0,p.pop());let g=Object.hasOwnProperty.call(i,"dilations"),m=i.kernelShape.slice(),v=i.strides.slice(),x=g?i.dilations.slice():[],P=i.pads.slice();xn.adjustPoolAttributes(l,p,m,v,x,P);let D=xn.computePoolOutputShape(l,p,v,x,m,P,i.autoPad),R=Object.assign({},i);g?Object.assign(R,{kernelShape:m,strides:v,pads:P,dilations:x,cacheKey:i.cacheKey}):Object.assign(R,{kernelShape:m,strides:v,pads:P,cacheKey:i.cacheKey});let E=D.slice();return E.push(E.splice(1,1)[0]),[R,f?E:D]},al=(s,i)=>{let l=i.format==="NHWC",f=ze.size(s),p=ze.size(i.kernelShape),g=[{type:12,data:f},{type:12,data:p}],m=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(i.kernelShape.length<=2){let v=i.kernelShape[i.kernelShape.length-1],x=i.strides[i.strides.length-1],P=i.pads[i.pads.length/2-1],D=i.pads[i.pads.length-1],R=!!(P+D);g.push({type:12,data:v},{type:12,data:x},{type:12,data:P},{type:12,data:D}),m.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let E=!1;if(i.kernelShape.length===2){let K=i.kernelShape[i.kernelShape.length-2],q=i.strides[i.strides.length-2],Y=i.pads[i.pads.length/2-2],ne=i.pads[i.pads.length-2];E=!!(Y+ne),g.push({type:12,data:K},{type:12,data:q},{type:12,data:Y},{type:12,data:ne}),m.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[g,m,!0,R,E]}else{if(l)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let v=ze.computeStrides(i.kernelShape);g.push({type:12,data:v},{type:12,data:i.pads},{type:12,data:i.strides}),m.push({name:"kernelStrides",type:"u32",length:v.length},{name:"pads",type:"u32",length:i.pads.length},{name:"strides",type:"u32",length:i.strides.length});let x=i.pads.reduce((P,D)=>P+D);return[g,m,!!x,!1,!1]}},ro=(s,i,l,f,p,g,m,v,x,P,D,R)=>{let E=p.format==="NHWC",K=i.type.value,q=Dt("output",i.type.tensor,f);if(p.kernelShape.length<=2){let Y="",ne="",se="",te=l-(E?2:1);if(D?Y=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${te}] = indices[${te}] * uniforms.sw - uniforms.pwStart + i;
                  if (xIndices[${te}] < 0 || xIndices[${te}]
                      >= uniforms.x_shape[${te}]) {
                    pad++;
                    continue;
                  }
                  let x_val = x[${i.indicesToOffset("xIndices")}];
                  ${g}
                }`:Y=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${te}] = indices[${te}] * uniforms.sw - uniforms.pwStart + i;
                  let x_val = x[${i.indicesToOffset("xIndices")}];
                  ${g}
                }`,p.kernelShape.length===2){let ye=l-(E?3:2);R?ne=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${ye}] = indices[${ye}] * uniforms.sh - uniforms.phStart + j;
                  if (xIndices[${ye}] < 0 || xIndices[${ye}] >= uniforms.x_shape[${ye}]) {
                    pad += i32(uniforms.kw);
                    continue;
                  }
              `:ne=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${ye}] = indices[${ye}] * uniforms.sh - uniforms.phStart + j;
                `,se=`
              }
            `}return`
            ${s.registerUniforms(x).declareVariables(i,q)}

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

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

              var value = ${K}(${v});
              var pad = 0;
              ${ne}
              ${Y}
              ${se}
              ${m}

              output[global_idx] = value;
            }`}else{if(E)throw new Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let Y=p.kernelShape.length,ne=p.pads.length,se="";return P?se=`
                if (xIndices[j] >= uniforms.x_shape[j]) {
                  pad++;
                  isPad = true;
                  break;
                }
              }
              if (!isPad) {
                let x_val = x[${i.indicesToOffset("xIndices")}];
                ${g}
              }`:se=`
              }
              let x_val = x[${i.indicesToOffset("xIndices")}];
              ${g}
            `,`
            ${s.registerUniforms(x).declareVariables(i,q)}

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

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

              var value = ${K}(${v});
              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 / ${Ft("uniforms.kernelStrides","j",Y)};
                  offset -= offsets[j] * ${Ft("uniforms.kernelStrides","j",Y)};
                }
                offsets[${Y-1}] = offset;

                isPad = false;
                for (var j = ${l-Y}u; j < ${l}u; j++) {
                  xIndices[j] = indices[j] * ${Ft("uniforms.strides",`j - ${l-Y}u`,Y)}
                    + offsets[j - ${l-Y}u] - ${Ft("uniforms.pads","j - 2u",ne)};
                  ${se}
              }
              ${m}

              output[global_idx] = value;
            }`}},tf=s=>`${s.format};${s.ceilMode};${s.autoPad};${s.kernelShape.length}`,fm=s=>`${tf(s)};${s.countIncludePad}`,rf=s=>`${tf(s)};${s.storageOrder};${s.dilations}`,il=s=>({format:s.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][s.auto_pad],ceilMode:s.ceil_mode,kernelShape:s.kernel_shape,strides:s.strides,pads:s.pads}),ol=(s,i,l,f)=>{let[p,g]=sl(i,f,l),m=Qe("x",i.dataType,i.dims.length),v=m.type.value,x="value += x_val;",P="";p.countIncludePad?P+=`value /= ${v}(uniforms.kernelSize);`:P+=`value /= ${v}(i32(uniforms.kernelSize) - pad);`;let[D,R,E,K,q]=al(g,p);D.push(...xt(i.dims,g));let Y=["rank"];return{name:s,shaderCache:{hint:`${f.cacheKey};${E};${K};${q}`,inputDependencies:Y},getRunData:()=>({outputs:[{dims:g,dataType:i.dataType}],dispatchGroup:{x:Math.ceil(ze.size(g)/64)},programUniforms:D}),getShaderSource:ne=>ro(ne,m,i.dims.length,g.length,p,x,P,0,R,E,K,q)}},nf=s=>{let i=s.count_include_pad!==0,l=il(s);if(l.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");let f={countIncludePad:i,...l,cacheKey:""};return{...f,cacheKey:fm(f)}},sf=(s,i)=>{to(s.inputs),s.compute(ol("AveragePool",s.inputs[0],!1,i))},ul={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},af=s=>{let i=s.format;return{format:i,...ul,cacheKey:i}},of=(s,i)=>{to(s.inputs),s.compute(ol("GlobalAveragePool",s.inputs[0],!0,i))},ll=(s,i,l,f)=>{let[p,g]=sl(i,f,l),m=`
      value = max(x_val, value);
    `,v="",x=Qe("x",i.dataType,i.dims.length),P=["rank"],[D,R,E,K,q]=al(g,p);return D.push(...xt(i.dims,g)),{name:s,shaderCache:{hint:`${f.cacheKey};${E};${K};${q}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:g,dataType:i.dataType}],dispatchGroup:{x:Math.ceil(ze.size(g)/64)},programUniforms:D}),getShaderSource:Y=>ro(Y,x,i.dims.length,g.length,p,m,v,i.dataType===10?-65504:-1e5,R,E,K,q)}},uf=(s,i)=>{to(s.inputs),s.compute(ll("MaxPool",s.inputs[0],!1,i))},lf=s=>{let i=s.storage_order,l=s.dilations,f=il(s);if(i!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(f.ceilMode!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");let p={storageOrder:i,dilations:l,...f,cacheKey:""};return{...p,cacheKey:rf(p)}},cf=s=>{let i=s.format;return{format:i,...ul,cacheKey:i}},pm=(s,i)=>{to(s.inputs),s.compute(ll("GlobalMaxPool",s.inputs[0],!0,i))}}),df,hf,ff,pf,_m=c(()=>{Wt(),jt(),mr(),or(),df=(s,i)=>{if(s.length<2||s.length>3)throw new Error("DequantizeLinear requires 2 or 3 inputs.");if(s.length===3&&s[1].dims===s[2].dims)throw new Error("x-scale and x-zero-point must have the same shape.");if(s.length===3&&s[0].dataType!==s[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(s[0].dataType===6&&s.length>2)throw new Error("In the case of dequantizing int32 there is no zero point.");if(s[1].dims.length!==0&&s[1].dims.length!==1&&s[1].dims.length!==s[0].dims.length)throw new Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(s.length>2){if(s[0].dataType!==s[2].dataType)throw new Error("x and x-zero-point must have the same data type.");if(s[1].dims.length!==s[2].dims.length)throw new Error("scale and zero-point inputs must have the same rank.");if(!s[1].dims.map((l,f)=>l===s[2].dims[f]).reduce((l,f)=>l&&f,!0))throw new Error("scale and zero-point inputs must have the same shape.")}if(i.blockSize>0){if(s[1].dims.length===0||s[1].dims.length===1&&s[1].dims[0]===1)throw new Error("blockSize must be set only for block quantization.");if(!s[1].dims.map((p,g)=>g===i.axis||p===s[0].dims[g]).reduce((p,g)=>p&&g,!0))throw new Error("For block qunatization, scale input shape to match the input shape except for the axis");if(s[1].dims.length!==s[0].dims.length)throw new Error("For block qunatization the scale input rank must be the same as the x rank.");let l=s[0].dims[i.axis],f=s[1].dims[i.axis];if(i.blockSize<Math.ceil(l/f)||i.blockSize>Math.ceil(l/(f-1)-1))throw new Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},hf=(s,i)=>{let l=ze.normalizeAxis(i.axis,s[0].dims.length),f=s[0].dataType,p=f===3,g=s[0].dims,m=s[1].dataType,v=ze.size(g),x=f===3||f===2,P=x?[Math.ceil(ze.size(s[0].dims)/4)]:s[0].dims,D=s[1].dims,R=s.length>2?s[2]:void 0,E=R?x?[Math.ceil(ze.size(R.dims)/4)]:R.dims:void 0,K=D.length===0||D.length===1&&D[0]===1,q=K===!1&&D.length===1,Y=sr(v),ne=K&&(!x||Y===4),se=ne?Y:1,te=ne&&!x?Y:1,ye=Qe("input",x?12:f,P.length,te),be=Qe("scale",m,D.length),Ce=R?Qe("zero_point",x?12:f,E.length):void 0,Be=Dt("output",m,g.length,se),je=[ye,be];Ce&&je.push(Ce);let tt=[P,D];R&&tt.push(E);let lt=[{type:12,data:v/se},{type:12,data:l},{type:12,data:i.blockSize},...xt(...tt,g)],kt=ir=>{let cr=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
      ${ir.registerUniforms(cr).declareVariables(...je,Be)}
      ${ir.mainStart()}
          ${ir.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let output_indices = ${Be.offsetToIndices("global_idx")};

          // Set input x
          ${x?`
            let input = ${ye.getByOffset("global_idx / 4")};
            let x_vec = ${p?"unpack4xI8(input)":"unpack4xU8(input)"};
            let x_value = ${se===1?"x_vec[global_idx % 4]":"x_vec"};`:`let x_value = ${ye.getByOffset("global_idx")};`};

          // Set scale input
          ${K?`let scale_value= ${be.getByOffset("0")}`:q?`
            let scale_index = ${Be.indicesGet("output_indices","uniforms.axis")};
            let scale_value= ${be.getByOffset("scale_index")};`:`
            var scale_indices: ${be.type.indices} = output_indices;
            let index = ${be.indicesGet("scale_indices","uniforms.axis")} / uniforms.block_size;
            ${be.indicesSet("scale_indices","uniforms.axis","index")};
            let scale_value= ${be.getByIndices("scale_indices")};`};

          // Set zero-point input
          ${Ce?K?x?`
                let zero_point_input = ${Ce.getByOffset("0")};
                let zero_point_vec =  ${p?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${Ce.getByOffset("0")}`:q?x?`
                let zero_point_index = ${Be.indicesGet("output_indices","uniforms.axis")};
                let zero_point_input = ${Ce.getByOffset("zero_point_index / 4")};
                let zero_point_vec =  ${p?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_index % 4]`:`
                let zero_point_index = ${Be.indicesGet("output_indices","uniforms.axis")};
                let zero_point_value = ${Ce.getByOffset("zero_point_index")};`:x?`
                let zero_point_offset = ${be.indicesToOffset("scale_indices")};
                let zero_point_input = ${Ce.getByOffset("zero_point_offset / 4")};
                let zero_point_vec = ${p?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${Ce.getByIndices("scale_indices")};`:`let zero_point_value = ${x?p?"i32":"u32":ye.type.value}(0);`};
      // Compute and write output
      ${Be.setByOffset("global_idx",`${Be.type.value}(x_value - zero_point_value) * scale_value`)};
      }`};return{name:"DequantizeLinear",shaderCache:{hint:i.cacheKey,inputDependencies:Ce?["rank","rank","rank"]:["rank","rank"]},getShaderSource:kt,getRunData:()=>({outputs:[{dims:g,dataType:m}],dispatchGroup:{x:Math.ceil(v/se/64),y:1,z:1},programUniforms:lt})}},ff=(s,i)=>{df(s.inputs,i),s.compute(hf(s.inputs,i))},pf=s=>Gt({axis:s.axis,blockSize:s.blockSize})}),gm,cl,mf,bm=c(()=>{Ze(),Wt(),or(),gm=(s,i,l)=>{let f=s===i,p=s<i&&l<0,g=s>i&&l>0;if(f||p||g)throw new Error("Range these inputs' contents are invalid.")},cl=(s,i,l,f)=>{let p=Math.abs(Math.ceil((i-s)/l)),g=[p],m=p,v=[{type:12,data:m},{type:f,data:s},{type:f,data:l},...xt(g)],x=P=>{let D=Dt("output",f,g.length),R=D.type.value,E=[{name:"outputSize",type:"u32"},{name:"start",type:R},{name:"delta",type:R}];return`
        ${P.registerUniforms(E).declareVariables(D)}
        ${P.mainStart()}
        ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        output[global_idx] = uniforms.start + ${R}(global_idx) * uniforms.delta;
      }`};return{name:"Range",shaderCache:{hint:`${f}`},getShaderSource:x,getRunData:()=>({outputs:[{dims:g,dataType:f}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:v})}},mf=s=>{let i=0,l=0,f=0;s.inputs[0].dataType===6?(i=s.inputs[0].getInt32Array()[0],l=s.inputs[1].getInt32Array()[0],f=s.inputs[2].getInt32Array()[0]):s.inputs[0].dataType===1&&(i=s.inputs[0].getFloat32Array()[0],l=s.inputs[1].getFloat32Array()[0],f=s.inputs[2].getFloat32Array()[0]),j.webgpu.validateInputContent&&gm(i,l,f),s.compute(cl(i,l,f,s.inputs[0].dataType),{inputs:[]})}}),_f,gf,bf,yf,ym=c(()=>{Wt(),jt(),mr(),or(),_f=(s,i,l,f)=>{if(s!=="none"&&f!=="i32"&&f!=="u32"&&f!=="f32")throw new Error(`Input ${f} is not supported with reduction ${s}.`);let p=`{
                var oldValue = 0;
                loop {
                  let newValueF32 =`,g=`;
                  let newValue = bitcast<i32>(newValueF32);
                  let res = atomicCompareExchangeWeak(&${i}, oldValue, newValue);
                  if res.exchanged {
                    break;
                  }
                  oldValue = res.old_value;
                }
              }`;switch(s){case"none":return`${i}=${l};`;case"add":return f==="i32"||f==="u32"?`atomicAdd(&${i}, bitcast<${f}>(${l}));`:`
              ${p}bitcast<${f}>(oldValue) + (${l})${g}`;case"max":return f==="i32"||f==="u32"?`atomicMax(&${i}, bitcast<${f}>(${l}));`:`
                ${p}max(bitcast<f32>(oldValue), (${l}))${g}`;case"min":return f==="i32"||f==="u32"?`atomicMin(&${i}, bitcast<${f}>(${l}));`:`${p}min(bitcast<${f}>(oldValue), (${l}))${g}`;case"mul":return`${p}(bitcast<${f}>(oldValue) * (${l}))${g}`;default:throw new Error(`Reduction ${s} is not supported.`)}},gf=(s,i)=>{let l=s[0].dims,f=s[1].dims,p=l,g=1,m=Math.ceil(ze.size(f)/g),v=f[f.length-1],x=ze.sizeFromDimension(l,v),P=[{type:12,data:m},{type:12,data:v},{type:12,data:x},...xt(s[1].dims,s[2].dims,p)],D=R=>{let E=Qe("indices",s[1].dataType,s[1].dims.length),K=Qe("updates",s[2].dataType,s[2].dims.length,g),q=i.reduction!=="none"&&i.reduction!==""?Hl("output",s[0].dataType,p.length):Dt("output",s[0].dataType,p.length,g);return`
      ${R.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(E,K,q)}
      ${R.mainStart()}
        ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
  var data_offset = 0u;
  let indices_start = uniforms.last_index_dimension * global_idx;
  let indices_end = indices_start + uniforms.last_index_dimension;
  for (var i = indices_start; i < indices_end; i++) {
    var index = i32(indices[i].x);
    ${s[0].dims.length===1?`
    let element_count_dim = uniforms.output_strides;
    let dim_value = uniforms.output_shape;`:`
    let element_count_dim = uniforms.output_strides[i - indices_start];
    let dim_value = uniforms.output_shape[i - indices_start + uniforms.last_index_dimension];`}
    if (index >= 0) {
      if (index >= i32(dim_value)) {
        index = i32(dim_value - 1);
      }
    } else {
      if (index < -i32(dim_value)) {
        index = 0;
      } else {
        index += i32(dim_value);
      }
    }
    data_offset += u32((u32(index) * element_count_dim));
  }

  for (var i = 0u; i < uniforms.num_updates_elements; i++) {
    let value = updates[uniforms.num_updates_elements * global_idx + i];
    ${_f(i.reduction,"output[data_offset + i]","value",q.type.value)}
  }

      }`};return{name:"ScatterND",shaderCache:{hint:`${i.cacheKey}_${i.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:p,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(m/64)},programUniforms:P}),getShaderSource:D}},bf=s=>Gt({reduction:s.reduction}),yf=(s,i)=>{s.compute(gf(s.inputs,i),{inputs:[s.inputs[1],s.inputs[2]],outputs:[]})}}),wf,vf,Ef,Tf,xf,Mf,Pf,Cf,Sf,Af,kf,dl,If,$f,Of,Lf,Rf,Ff,Nf,wm=c(()=>{Wt(),jt(),mr(),or(),wf=(s,i)=>{if(s.every(l=>l>0||(()=>{throw new Error("Resize requires scales input values to be positive")})),s.length>0){if(i.mode==="linear"){if(!(s.length===2||s.length===3||s.length===4&&s[0]===1&&s[1]===1||s.length===4&&s[0]===1&&s[3]===1||s.length===5&&s[0]===1&&s[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(i.mode==="cubic"&&!(s.length===2||s.length===4&&s[0]===1&&s[1]===1||s.length===4&&s[0]===1&&s[3]===1))throw new Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},vf=(s,i,l)=>{i.every(p=>p>=0&&p<l||(()=>{throw new Error("Resize requires axes input values to be positive and less than rank")}));let f=new Array(l).fill(1);return i.forEach((p,g)=>f[p]=s[g]),f},Ef=(s,i,l,f,p,g)=>{let[m,v,x]=l>10?[1,2,3]:[-1,s.length>1?1:-1,-1],P=s[0].dims.length;if(m>0&&s.length>m&&s[m].dims.length>0)s[m].getFloat32Array().forEach(D=>g.push(D));else if(i.coordinateTransformMode==="tf_crop_and_resize")throw new Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(v>0&&s.length>v&&s[v].dims.length===1&&s[v].dims[0]>0){if(s[v].getFloat32Array().forEach(D=>f.push(D)),f.length!==0&&f.length!==P&&l>=18&&f.length!==i.axes.length)throw new Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");wf(f,i),i.axes.length>0&&vf(f,i.axes,P).forEach((D,R)=>f[R]=D)}if(x>0&&s.length>x&&s[x].dims.length===1&&s[x].dims[0]>0&&(s[x].getBigInt64Array().forEach(D=>p.push(Number(D))),p.length!==0&&p.length!==P&&l>=18&&p.length!==i.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(i.axes.length>0){if(f.length!==0&&f.length!==i.axes.length)throw new Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(p.length!==0&&p.length!==i.axes.length)throw new Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof f<"u"&&typeof p<"u"&&f.length>0&&p.length>P)throw new Error("Resize requires only of scales or sizes to be specified")},Tf=(s,i)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${i} { `+(()=>{switch(s){case"asymmetric":return`return ${i}(xResized) / ${i}(xScale);`;case"pytorch_half_pixel":return`if (lengthResized > 1) {
                    return (${i}(xResized) + 0.5) / ${i}(xScale) - 0.5;
                  } else {
                    return 0.0;
                  }`;case"tf_half_pixel_for_nn":return`return (${i}(xResized) + 0.5) / ${i}(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 = ${i}(xResized * (lengthOriginal - 1) / (lengthResized - 1));
                    let fract =
                        ${i}(xResized * (lengthOriginal - 1) % (lengthResized - 1)) / ${i}(lengthResized - 1);
                    return whole + fract;
                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
                    return ${i}(roiStart) * ${i}(lengthOriginal - 1) +
                        (${i}(xResized) * ${i}(roiEnd - roiStart) * ${i}(lengthOriginal - 1)) /
                        ${i}(lengthResized - 1);
                  } else {
                    return 0.5 * ${i}(roiStart + roiEnd) * ${i}(lengthOriginal - 1);
                  }`;case"half_pixel_symmetric":return`const outputWidth = ${i}xScale * ${i}(lengthResized);
                  const adjustment = ${i}(lengthResized) / outputWidth;
                  const center = ${i}(lengthOriginal) / 2;
                  const offset = center * (1 - adjustment);
                  return offset + ((${i}(xResized) + 0.5) / ${i}(xScale)) - 0.5;`;case"half_pixel":return`return ((${i}(xResized) + 0.5) / ${i}(xScale)) - 0.5;`;default:throw new Error(`Coordinate transform mode ${s} is not supported`)}})()+"}",xf=(s,i,l)=>`fn getNearestPixelFromOriginal(xOriginal: ${l}, isDownSample: bool) -> ${l} {`+(()=>{switch(s){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(i<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw new Error(`Nearest mode ${s} is not supported`)}})()+"}",Mf=(s,i,l)=>{let f=new Array(l).fill(0).concat(new Array(l).fill(1)),p=s.length===0?f:s.slice();return i.length>0?(i.forEach((g,m)=>{f[g]=p[m],f[m+l]=p[i.length+m]}),f):p},Pf=(s,i,l,f)=>{let p=[];if(l.length>0)if(f.length>0){if(s.forEach(g=>p.push(g)),Math.max(...f)>s.length)throw new Error("axes is out of bound");f.forEach((g,m)=>p[g]=l[m])}else l.forEach(g=>p.push(g));else{if(i.length===0)throw new Error("Resize requires either scales or sizes.");p=s.map((g,m)=>Math.round(g*i[m]))}return p},Cf=(s,i,l)=>{let f=(()=>{switch(l.keepAspectRatioPolicy){case"not_larger":return l.axes.length>0?Math.min(...l.axes.map(g=>i[g]),Number.MAX_VALUE):Math.min(...i,Number.MAX_VALUE);case"not_smaller":return l.axes.length>0?Math.max(...l.axes.map(g=>i[g]),Number.MIN_VALUE):Math.max(...i,Number.MIN_VALUE);default:throw new Error(`Keep aspect ratio policy ${l.keepAspectRatioPolicy} is not supported`)}})();i.fill(1,0,i.length);let p=s.slice();return l.axes.length>0?(l.axes.forEach(g=>i[g]=f),l.axes.forEach(g=>p[g]=Math.round(s[g]*i[g]))):(i.fill(f,0,i.length),p.forEach((g,m)=>p[m]=Math.round(g*i[m]))),p},Sf=(s,i,l,f,p)=>`
    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${s.type.indices}) -> array<${s.type.value}, ${l.length}> {
      var original_indices: array<${s.type.value}, ${l.length}>;
      for (var i:u32 = 0; i < ${l.length}; i++) {
        var output_index = ${s.indicesGet("output_indices","i")};
        var scale = ${Ft("uniforms.scales","i",f)};
        var roi_low = ${Ft("uniforms.roi","i",p)};
        var roi_hi = ${Ft("uniforms.roi",`i + ${i.length}`,p)};
        if (scale == 1.0) {
          original_indices[i] = ${s.type.value}(output_index);
        } else {
          var input_shape_i = ${Ft("uniforms.input_shape","i",i.length)};
          var output_shape_i = ${Ft("uniforms.output_shape","i",l.length)};
          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                           input_shape_i, roi_low, roi_hi);
        }
      }
      return original_indices;
    }`,Af=(s,i,l,f,p,g,m)=>`
    fn calculateInputIndicesFromOutputIndices(output_indices: ${i.type.indices}) -> ${s.type.indices} {
      var input_indices: ${s.type.indices};
      for (var i:u32 = 0; i < ${f.length}; i++) {
        var output_index = ${i.indicesGet("output_indices","i")};
        var input_index: u32;
        var scale = ${Ft("uniforms.scales","i",p)};
        if (scale == 1.0) {
          input_index = output_index;
        } else {
          var roi_low = ${Ft("uniforms.roi","i",g)};
          var roi_hi = ${Ft("uniforms.roi",`i + ${l.length}`,g)};
          var input_shape_i = ${Ft("uniforms.input_shape","i",l.length)};
          var output_shape_i = ${Ft("uniforms.output_shape","i",f.length)};
          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                        input_shape_i, roi_low, roi_hi);
          if (!${m} || (original_idx >= 0 && original_idx < ${i.type.value}(input_shape_i))) {
            if (original_idx < 0) {
              input_index = 0;
            } else if (original_idx > ${i.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);
          }
        }
        ${s.indicesSet("input_indices","i"," input_index")}
      }
      return input_indices;
    }`,kf=(s,i)=>`
    fn checkInputIndices(input_indices: ${s.type.indices}) -> bool {
      for (var i:u32 = 0; i < ${i.length}; i++) {
        var input_index = ${s.indicesGet("input_indices","i")};
        if (input_index < 0 || input_index >= ${Ft("uniforms.input_shape","i",i.length)}) {
          return false;
        }
      }
      return true;
    }`,dl=(s,i,l,f)=>s.rank>f?`
    ${s.indicesSet("input_indices",i,"channel")};
    ${s.indicesSet("input_indices",l,"batch")};
`:"",If=(s,i,l,f,p)=>{let[g,m,v,x]=l.length===2?[-1,0,1,-1]:[0,2,3,1],P=s.type.value;return`
    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${P} {
      var input_indices: ${s.type.indices};
      ${s.indicesSet("input_indices",m,`max(0, min(row, ${l[m]} - 1))`)};
      ${s.indicesSet("input_indices",v,`max(0, min(col, ${l[v]} - 1))`)};
      ${dl(s,x,g,2)}
      return ${s.getByIndices("input_indices")};
    }

    fn bilinearInterpolation(output_indices: ${i.type.indices}) -> ${P} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var row:${P} = originalIndices[${m}];
      var col:${P} = originalIndices[${v}];
      ${f?`if (row < 0 || row > (${l[m]} - 1) || col < 0 || col > (${l[v]} - 1)) {
        return ${p};
      }`:""};
      row = max(0, min(row, ${l[m]} - 1));
      col = max(0, min(col, ${l[v]} - 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 = ${l.length>2?`u32(originalIndices[${x}])`:"0"};
      var batch: u32 =  ${l.length>2?`u32(originalIndices[${g}])`:"0"};
      var x11: ${P} = getInputValue(batch, channel, row1, col1);
      var x12: ${P} = getInputValue(batch, channel, row1, col2);
      var x21: ${P} = getInputValue(batch, channel, row2, col1);
      var x22: ${P} = getInputValue(batch, channel, row2, col2);
      var dx1: ${P} = abs(row - ${P}(row1));
      var dx2: ${P} = abs(${P}(row2) - row);
      var dy1: ${P} = abs(col - ${P}(col1));
      var dy2: ${P} = abs(${P}(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);
    }`},$f=(s,i,l,f,p,g,m,v,x,P)=>{let D=l.length===2,[R,E]=D?[0,1]:[2,3],K=s.type.value,q=Y=>{let ne=Y===R?"row":"col";return`
      fn ${ne}CubicInterpolation(input_indices: ${s.type.indices}, output_indices: ${i.type.indices}) -> ${K} {
        var output_index = ${i.indicesGet("output_indices",Y)};
        var originalIdx: ${K} = getOriginalCoordinateFromResizedCoordinate(output_index, ${p[Y]},
        ${f[Y]}, ${l[Y]}, ${g[Y]}, ${g[Y]} + ${l.length});
        var fractOriginalIdx: ${K} = originalIdx - floor(originalIdx);
        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);

        if (${v} && (originalIdx < 0 || originalIdx > (${l[Y]} - 1))) {
          return ${x};
        }
        var data: array<${K}, 4> = array<${K}, 4>(0.0, 0.0, 0.0, 0.0);
        for (var i: i32 = -1; i < 3; i++) {
          var ${ne}: ${K} = originalIdx + ${K}(i);
          if (${ne} < 0 || ${ne} >= ${l[Y]}) {
            ${P?`coefs[i + 1] = 0.0;
                        continue;`:v?`return ${x};`:`${ne} = max(0, min(${ne}, ${l[Y]} - 1));`};
          }
        var input_indices_copy: ${s.type.indices} = input_indices;
          ${s.indicesSet("input_indices_copy",Y,`u32(${ne})`)};
          data[i + 1] = ${Y===R?s.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
        }
        return cubicInterpolation1D(data, coefs);
      }`};return`
    ${q(R)};
    ${q(E)};
  fn getCubicInterpolationCoefs(s: ${K}) -> array<${K}, 4> {
    var absS = abs(s);
    var coeffs: array<${K}, 4> = array<${K}, 4>(0.0, 0.0, 0.0, 0.0);
    var oneMinusAbsS: ${K} = 1.0 - absS;
    var twoMinusAbsS: ${K} = 2.0 - absS;
    var onePlusAbsS: ${K} = 1.0 + absS;
    coeffs[0] = ((${m} * onePlusAbsS - 5 * ${m}) * onePlusAbsS + 8 * ${m}) * onePlusAbsS - 4 * ${m};
    coeffs[1] = ((${m} + 2) * absS - (${m} + 3)) * absS * absS + 1;
    coeffs[2] = ((${m} + 2) * oneMinusAbsS - (${m} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
    coeffs[3] = ((${m} * twoMinusAbsS - 5 * ${m}) * twoMinusAbsS + 8 * ${m}) * twoMinusAbsS - 4 * ${m};
    return coeffs;
  }

  fn cubicInterpolation1D(x: array<${K}, 4>, coefs: array<${K}, 4>) -> ${K} {
    var coefsSum: ${K} = 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: ${i.type.indices}) -> ${K} {
    var input_indices: ${s.type.indices} = output_indices;
    return colCubicInterpolation(input_indices, output_indices);
  }
    `},Of=(s,i,l,f,p)=>{let[g,m,v,x,P]=l.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],D=s.type.value;return`
    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${D} {
      var input_indices: ${s.type.indices};
      ${s.indicesSet("input_indices",m,`max(0, min(depth, ${l[m]} - 1))`)};
      ${s.indicesSet("input_indices",v,`max(0, min(height, ${l[v]} - 1))`)};
      ${s.indicesSet("input_indices",x,`max(0, min(width, ${l[x]} - 1))`)};
      ${dl(s,P,g,3)}
      return ${s.getByIndices("input_indices")};
    }

    fn trilinearInterpolation(output_indices: ${i.type.indices}) -> ${D} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var depth:${D} = originalIndices[${m}];
      var height:${D} = originalIndices[${v}];
      var width:${D} = originalIndices[${x}];
      ${f?`if (depth < 0 || depth > (${l[m]} - 1) || height < 0 || height > (${l[v]} - 1) || width < 0 || (width > ${l[x]} - 1)) {
      return ${p};
        }`:""};

    depth = max(0, min(depth, ${l[m]} - 1));
      height = max(0, min(height, ${l[v]} - 1));
      width = max(0, min(width, ${l[x]} - 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 = ${l.length>3?`u32(originalIndices[${P}])`:"0"};
      var batch: u32 =  ${l.length>3?`u32(originalIndices[${g}])`:"0"};

      var x111: ${D} = getInputValue(batch, channel, depth1, height1, width1);
      var x112: ${D} = getInputValue(batch, channel, depth1, height1, width2);
      var x121: ${D} = getInputValue(batch, channel, depth1, height2, width1);
      var x122: ${D} = getInputValue(batch, channel, depth1, height2, width2);
      var x211: ${D} = getInputValue(batch, channel, depth2, height1, width1);
      var x212: ${D} = getInputValue(batch, channel, depth2, height1, width2);
      var x221: ${D} = getInputValue(batch, channel, depth2, height2, width1);
      var x222: ${D} = getInputValue(batch, channel, depth2, height2, width2);
      var dx1: ${D} = abs(depth - ${D}(depth1));
      var dx2: ${D} = abs(${D}(depth2) - depth);
      var dy1: ${D} = abs(height - ${D}(height1));
      var dy2: ${D} = abs(${D}(height2) - height);
      var dz1: ${D} = abs(width - ${D}(width1));
      var dz2: ${D} = abs(${D}(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);
    }`},Lf=(s,i,l,f,p,g)=>{let m=s.dims,v=Mf(g,i.axes,m.length),x=Pf(m,f,p,i.axes),P=f.slice();f.length===0&&(P=m.map((te,ye)=>te===0?1:x[ye]/te),i.keepAspectRatioPolicy!=="stretch"&&(x=Cf(m,P,i)));let D=Dt("output",s.dataType,x.length),R=Qe("input",s.dataType,m.length),E=ze.size(x),K=m.length===x.length&&m.every((te,ye)=>te===x[ye]),q=i.coordinateTransformMode==="tf_crop_and_resize",Y=i.extrapolationValue,ne=R.type.value,se=te=>`
      ${K?"":`
      ${Tf(i.coordinateTransformMode,ne)};
      ${(()=>{switch(i.mode){case"nearest":return`
              ${kf(R,m)};
              ${xf(i.nearestMode,l,ne)};
              ${Af(R,D,m,x,P.length,v.length,q)};
              `;case"linear":return`
              ${Sf(D,m,x,P.length,v.length)};
              ${(()=>{if(m.length===2||m.length===4)return`${If(R,D,m,q,Y)}`;if(m.length===3||m.length===5)return`${Of(R,D,m,q,Y)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
            `;case"cubic":return`
            ${(()=>{if(m.length===2||m.length===4)return`${$f(R,D,m,x,P,v,i.cubicCoeffA,q,i.extrapolationValue,i.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
            `;default:throw Error("Invalid resize mode")}})()};
      `}
      ${te.registerUniform("output_size","u32").registerUniform("scales","f32",P.length).registerUniform("roi","f32",v.length).declareVariables(R,D)}
      ${te.mainStart()}
        ${te.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
        ${K?"output[global_idx] = input[global_idx];":`
        let output_indices = ${D.offsetToIndices("global_idx")};
        var input_indices: ${R.type.indices};
        ${(()=>{switch(i.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
                if (checkInputIndices(input_indices)) {
                  output[global_idx] = ${R.getByIndices("input_indices")};
                } else {
                  output[global_idx] = ${i.extrapolationValue};
                }`;case"linear":return`output[global_idx] = ${m.length===2||m.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${i.mode}`)}})()};
`}
      }`;return{name:"Resize",shaderCache:{hint:`${i.cacheKey}|${l}|${P.length>0?P:""}|${p.length>0?p:""}|${v.length>0?v:""}|${K}|${m}`,inputDependencies:["rank"]},getShaderSource:se,getRunData:()=>({outputs:[{dims:x,dataType:s.dataType}],dispatchGroup:{x:Math.ceil(E/64)},programUniforms:[{type:12,data:E},{type:1,data:P},{type:1,data:v},...xt(m,x)]})}},Rf=s=>{let i=s.customDataBuffer;return new Uint32Array(i,i.byteOffset,1)[0]},Ff=(s,i)=>{let l=[],f=[],p=[],g=Rf(s);if(i.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");Ef(s.inputs,i,g,l,f,p),s.compute(Lf(s.inputs[0],i,g,l,f,p),{inputs:[0]})},Nf=s=>{let i=s.antialias,l=s.axes,f=s.coordinateTransformMode,p=s.cubicCoeffA,g=s.excludeOutside!==0,m=s.extrapolationValue,v=s.keepAspectRatioPolicy,x=s.mode,P=s.nearestMode===""?"simple":s.nearestMode;return Gt({antialias:i,axes:l,coordinateTransformMode:f,cubicCoeffA:p,excludeOutside:g,extrapolationValue:m,keepAspectRatioPolicy:v,mode:x,nearestMode:P})}}),Df,vm,ar,Em=c(()=>{Wt(),jt(),mr(),or(),Df=(s,i)=>{let[l,f,p,g]=s,{numHeads:m,rotaryEmbeddingDim:v}=i;if(l.dims.length!==3&&l.dims.length!==4)throw new Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${l.dims.length}`);if(!ze.areEqual(f.dims,[])&&!ze.areEqual(f.dims,[1])&&f.dims.length!==2)throw new Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${f.dims.length}`);if(p.dims.length!==2)throw new Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${p.dims.length}`);if(g.dims.length!==2)throw new Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${g.dims.length}`);if(!ze.areEqual(p.dims,g.dims))throw new Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(v>0&&m===0)throw new Error("num_heads must be provided if rotary_embedding_dim is specified");let x=l.dims[0],P=l.dims[l.dims.length-2],D=p.dims[0],R=ze.sizeFromDimension(l.dims,1)/P,E=v===0?p.dims[1]*2:R/m;if(v>E)throw new Error("rotary_embedding_dim must be less than or equal to head_size");if(f.dims.length===2){if(x!==f.dims[0])throw new Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${f.dims[0]}`);if(P!==f.dims[1])throw new Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${f.dims[1]}`)}if(E/2!==p.dims[1]&&v/2!==p.dims[1])throw new Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${p.dims[1]}`);if(P>D)throw new Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported")},vm=(s,i)=>{let{interleaved:l,numHeads:f,rotaryEmbeddingDim:p,scale:g}=i,m=s[0].dims[0],v=ze.sizeFromDimension(s[0].dims,1),x=s[0].dims[s[0].dims.length-2],P=v/x,D=s[2].dims[1],R=p===0?D*2:P/f,E=new Array(m,x,P/R,R-D),K=ze.computeStrides(E),q=[{type:1,data:g},{type:12,data:E},{type:12,data:K},...s[0].dims.length===3?new Array({type:12,data:[v,P,R,1]}):[],...s[0].dims.length===4?new Array({type:12,data:[v,R,x*R,1]}):[],...xt(s[0].dims,s[1].dims,s[2].dims,s[3].dims,s[0].dims)],Y=ne=>{let se=Qe("input",s[0].dataType,s[0].dims.length),te=Qe("position_ids",s[1].dataType,s[1].dims.length),ye=Qe("cos_cache",s[2].dataType,s[2].dims.length),be=Qe("sin_cache",s[3].dataType,s[3].dims.length),Ce=Dt("output",s[0].dataType,s[0].dims.length);return ne.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:E.length},{name:"global_strides",type:"u32",length:K.length},{name:"input_output_strides",type:"u32",length:K.length}]),`
        ${ne.declareVariables(se,te,ye,be,Ce)}

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

          if (bsnh[3] < half_rotary_emb_dim) {
            let position_ids_idx =
                ${te.broadcastedIndicesToOffset("bsnh.xy",Dt("",te.type.tensor,2))};
            let position_id =
                u32(${te.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);
            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${l});
            let j = i + select(half_rotary_emb_dim, 1, ${l});
            let re = ${se.getByOffset("i")} * ${ye.get("position_id","bsnh[3]")} -
                ${se.getByOffset("j")} * ${be.get("position_id","bsnh[3]")};
            ${Ce.setByOffset("i","re")}
            let im = ${se.getByOffset("i")} * ${be.get("position_id","bsnh[3]")} +
                ${se.getByOffset("j")} * ${ye.get("position_id","bsnh[3]")};
            ${Ce.setByOffset("j","im")}
          } else {
            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
            ${Ce.setByOffset("k",se.getByOffset("k"))}
          }
        }`};return{name:"RotaryEmbedding",shaderCache:{hint:Gt({interleaved:l}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:Y,getRunData:()=>({outputs:[{dims:s[0].dims,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(ze.size(E)/Nn)},programUniforms:q})}},ar=(s,i)=>{Df(s.inputs,i),s.compute(vm(s.inputs,i))}}),gn,vn,Sn,Oa=c(()=>{Wt(),jt(),or(),gn=s=>{if(!s||s.length<3)throw new Error("layerNorm requires at least 3 inputs.");let i=s[0],l=s[1],f=s[2];if(i.dataType!==l.dataType||i.dataType!==f.dataType)throw new Error("All inputs must have the same data type");if(i.dims.length!==3&&i.dims.length!==2)throw new Error("Input must be 2D or 3D");if(l.dims.length!==3&&l.dims.length!==2)throw new Error("Skip must be 2D or 3D");let p=i.dims[i.dims.length-1],g=i.dims[i.dims.length-2];if(l.dims[l.dims.length-1]!==p)throw new Error("Skip must have the same hidden size as input");if(l.dims[l.dims.length-2]!==g)throw new Error("Skip must have the same sequence length as input");if(f.dims.length!==1)throw new Error("Gamma must be 1D");if(f.dims[f.dims.length-1]!==p)throw new Error("Gamma must have the same hidden size as input");if(s.length>3){let m=s[3];if(m.dims.length!==1)throw new Error("Beta must be 1D");if(m.dims[m.dims.length-1]!==p)throw new Error("Beta must have the same hidden size as input")}if(s.length>4){let m=s[4];if(m.dims.length!==1)throw new Error("Bias must be 1D");if(m.dims[m.dims.length-1]!==p)throw new Error("Bias must have the same hidden size as input")}},vn=(s,i,l,f)=>{let p=i.simplified,g=s[0].dims,m=ze.size(g),v=g,x=m,P=g.slice(-1)[0],D=f?g.slice(0,-1).concat(1):[],R=!p&&s.length>3,E=s.length>4,K=f&&l>1,q=f&&l>2,Y=l>3,ne=64,se=sr(P),te=[{type:12,data:x},{type:12,data:se},{type:12,data:P},{type:1,data:i.epsilon}],ye=Ce=>{let Be=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],je=[Qe("x",s[0].dataType,s[0].dims,se),Qe("skip",s[1].dataType,s[1].dims,se),Qe("gamma",s[2].dataType,s[2].dims,se)];R&&je.push(Qe("beta",s[3].dataType,s[3].dims,se)),E&&je.push(Qe("bias",s[4].dataType,s[4].dims,se)),je.push(Dt("output",s[0].dataType,v,se)),K&&je.push(Dt("mean_output",1,D)),q&&je.push(Dt("inv_std_output",1,D)),Y&&je.push(Dt("input_skip_bias_sum",s[0].dataType,v,se));let tt=Ir(s[0].dataType),lt=Ir(1,se);return`

      ${Ce.registerUniforms(Be).declareVariables(...je)}
      var<workgroup> sum_shared : array<${lt}, ${ne}>;
      var<workgroup> sum_squared_shared : array<${lt}, ${ne}>;

      ${Ce.mainStart([ne,1,1])}
        let ix = local_id.x;
        let iy = global_id.x / ${ne};

        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
        var stride = hidden_size_vectorized / ${ne};
        let offset = ix * stride + iy * hidden_size_vectorized;
        let offset1d = stride * ix;
        if (ix == ${ne-1}) {
          stride = hidden_size_vectorized - stride * ix;
        }
        for (var i: u32 = 0; i < stride; i++) {
          let skip_value = skip[offset + i];
          let bias_value = ${E?"bias[offset1d + i]":tt+"(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 = ${Jr(tt,se,"value")};
          sum_shared[ix] += f32_value;
          sum_squared_shared[ix] += f32_value * f32_value;
        }
        workgroupBarrier();

        var reduce_size : u32 = ${ne};
        for (var curr_size = reduce_size >> 1;  curr_size > 0; curr_size = reduce_size >> 1) {
          reduce_size = curr_size + (reduce_size & 1);
          if (ix < curr_size) {
            sum_shared[ix] += sum_shared[ix + reduce_size];
            sum_squared_shared[ix] += sum_squared_shared[ix + reduce_size];
          }
          workgroupBarrier();
        }

        let sum = sum_shared[0];
        let square_sum = sum_squared_shared[0];
        let mean = ${_n("sum",se)} / f32(uniforms.hidden_size);
        let inv_std_dev = inverseSqrt(${_n("square_sum",se)} / f32(uniforms.hidden_size) ${p?"":"- mean * mean"} + uniforms.epsilon);
        ${K?"mean_output[global_idx] = mean;":""}
        ${q?"inv_std_output[global_idx] = inv_std_dev;":""}

        for (var i: u32 = 0; i < stride; i++) {
          output[offset + i] = (output[offset + i] ${p?"":`- ${tt}(mean)`}) *
            ${tt}(inv_std_dev) * gamma[offset1d + i]
            ${R?"+ beta[offset1d + i]":""};
        }
      }`},be=[{dims:v,dataType:s[0].dataType}];return l>1&&be.push({dims:D,dataType:1}),l>2&&be.push({dims:D,dataType:1}),l>3&&be.push({dims:g,dataType:s[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${se};${K};${q};${Y}`,inputDependencies:s.map((Ce,Be)=>"type")},getShaderSource:ye,getRunData:()=>({outputs:be,dispatchGroup:{x:Math.ceil(x/P)},programUniforms:te})}},Sn=(s,i)=>{gn(s.inputs);let l=[0];s.outputCount>1&&l.push(-3),s.outputCount>2&&l.push(-3),s.outputCount>3&&l.push(3),s.compute(vn(s.inputs,i,s.outputCount,!1),{outputs:l})}}),Tm,ui,Bf,A,O,Z,xe,Ne,De=c(()=>{Wt(),jt(),mr(),or(),Tm=(s,i)=>{if(!s||s.length<1)throw new Error("too few inputs");if(i.axes.length!==0){if(i.axes.length!==i.starts.length||i.axes.length!==i.ends.length)throw new Error("axes, starts and ends must have the same length")}else if(i.starts.length!==i.ends.length)throw new Error("starts and ends must have the same length");s.slice(1).forEach((l,f)=>{if(s[f+1].dataType!==6&&s[f+1].dataType!==7)throw new Error(`Input ${f} must be an array of int32 or int64`)})},ui=(s,i)=>{let l=[];if(s.length>i)if(s[i].dataType===7)s[i].getBigInt64Array().forEach(f=>l.push(Number(f)));else if(s[i].dataType===6)s[i].getInt32Array().forEach(f=>l.push(Number(f)));else throw new Error(`Input ${i} must be an array of int32 or int64`);return l},Bf=(s,i)=>{if(s.length>1){let l=ui(s,1),f=ui(s,2),p=ui(s,3);return p.length===0&&(p=[...Array(s[0].dims.length).keys()]),Gt({starts:l,ends:f,axes:p})}else return i},A=(s,i,l,f,p)=>{let g=s;return s<0&&(g+=l[f[i]]),p[i]<0?Math.max(0,Math.min(g,l[f[i]]-1)):Math.max(0,Math.min(g,l[f[i]]))},O=(s,i,l)=>`fn calculateInputIndices(output_indices: ${i.type.indices}) -> ${s.type.indices} {
          var input_indices: ${s.type.indices};
          var carry = 0u;
          for (var i = ${l.length}; i >= 0; i--) {
            let input_shape_i = ${Ft("uniforms.input_shape","i",l.length)};
            let steps_i = ${Ft("uniforms.steps","i",l.length)};
            let signs_i = ${Ft("uniforms.signs","i",l.length)};
            let starts_i = ${Ft("uniforms.starts","i",l.length)};
            var output_index = ${i.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;
            }
            ${s.indicesSet("input_indices","i","input_index")};
          }
          return input_indices;
      }`,Z=(s,i)=>{let l=s[0].dims,f=ze.size(l),p=i.axes.length>0?ze.normalizeAxes(i.axes,l.length):[...Array(l.length).keys()],g=ui(s,4);g.forEach(se=>se!==0||(()=>{throw new Error("step cannot be 0")})),g.length===0&&(g=Array(p.length).fill(1));let m=i.starts.map((se,te)=>A(se,te,l,p,g)),v=i.ends.map((se,te)=>A(se,te,l,p,g));if(p.length!==m.length||p.length!==v.length)throw new Error("start, ends and axes should have the same number of elements");if(p.length!==l.length)for(let se=0;se<l.length;++se)p.includes(se)||(m.splice(se,0,0),v.splice(se,0,l[se]),g.splice(se,0,1));let x=g.map(se=>Math.sign(se));g.forEach((se,te,ye)=>{if(se<0){let be=(v[te]-m[te])/se,Ce=m[te],Be=Ce+be*g[te];m[te]=Be,v[te]=Ce,ye[te]=-se}});let P=l.slice(0);p.forEach((se,te)=>{P[se]=Math.ceil((v[se]-m[se])/g[se])});let D={dims:P,dataType:s[0].dataType},R=Dt("output",s[0].dataType,P.length),E=Qe("input",s[0].dataType,s[0].dims.length),K=ze.size(P),q=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:m.length},{name:"signs",type:"i32",length:x.length},{name:"steps",type:"u32",length:g.length}],Y=[{type:12,data:K},{type:12,data:m},{type:6,data:x},{type:12,data:g},...xt(s[0].dims,P)],ne=se=>`
      ${se.registerUniforms(q).declareVariables(E,R)}
        ${O(E,R,l)}
        ${se.mainStart()}
          ${se.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
          let output_indices = ${R.offsetToIndices("global_idx")};
          let input_indices = calculateInputIndices(output_indices);
          ${R.setByOffset("global_idx",E.getByIndices("input_indices"))}
      }`;return{name:"Slice",shaderCache:{hint:`${x.length}_${m.length}_${g.length}`,inputDependencies:["rank"]},getShaderSource:ne,getRunData:()=>({outputs:[D],dispatchGroup:{x:Math.ceil(f/64)},programUniforms:Y})}},xe=(s,i)=>{Tm(s.inputs,i);let l=Bf(s.inputs,i);s.compute(Z(s.inputs,l),{inputs:[0]})},Ne=s=>{let i=s.starts,l=s.ends,f=s.axes;return Gt({starts:i,ends:l,axes:f})}}),nt,at,wt,Mt,Zt=c(()=>{Wt(),jt(),mr(),Vs(),or(),nt=s=>{if(!s||s.length!==1)throw new Error("Softmax op requires 1 input.")},at=(s,i)=>{let l=s.inputs[0],f=l.dims,p=ze.size(f),g=f.length,m=ze.normalizeAxis(i.axis,g),v=m<f.length-1,x,P=[];v?(P=Array.from({length:g},(je,tt)=>tt),P[m]=g-1,P[g-1]=m,x=s.compute(qn(l,P),{inputs:[l],outputs:[-1]})[0]):x=l;let D=x.dims,R=D[g-1],E=p/R,K=sr(R),q=R/K,Y=64;E===1&&(Y=256);let ne=(je,tt)=>tt===4?`max(max(${je}.x, ${je}.y), max(${je}.z, ${je}.w))`:tt===2?`max(${je}.x, ${je}.y)`:tt===3?`max(max(${je}.x, ${je}.y), ${je}.z)`:je,se=Qe("x",x.dataType,x.dims,K),te=Dt("result",x.dataType,x.dims,K),ye=se.type.value,be=Ir(x.dataType)==="f32"?`var threadMax = ${ye}(-3.402823e+38f);`:`var threadMax = ${ye}(-65504.0h);`,Ce=je=>`
      var<workgroup> rowMaxShared : ${ye};
      var<workgroup> rowSumShared : ${ye};
      var<workgroup> threadShared : array<${ye}, ${Y}>;

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

      fn setValue(row: i32, col: i32, row_stride: i32, value: ${ye}) {
        let index = row * row_stride + col;
        result[index] = value;
      }
      ${je.registerUniform("packedCols","i32").declareVariables(se,te)}
      ${je.mainStart(Y)}
        let gindex = i32(global_idx);
        let lindex = i32(local_idx);
        const wg = ${Y};
        let row = gindex / wg;
        let cols = uniforms.packedCols;
        let row_stride : i32 = uniforms.packedCols;

        // find the rows max
        ${be}
        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 = ${ye}(${ne("threadShared[0]",K)});
        }
        workgroupBarrier();

        // find the rows sum
        var threadSum = ${ye}(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 = ${ye}(${_n("threadShared[0]",K)});
        }
        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);
        }
      }`,Be=s.compute({name:"Softmax",shaderCache:{hint:`${K};${Y}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:D,dataType:x.dataType}],dispatchGroup:{x:E},programUniforms:[{type:6,data:q}]}),getShaderSource:Ce},{inputs:[x],outputs:[v?-1:0]})[0];v&&s.compute(qn(Be,P),{inputs:[Be]})},wt=(s,i)=>{nt(s.inputs),at(s,i)},Mt=s=>Gt({axis:s.axis})}),Xt,Vt,er,hr,_r,ur=c(()=>{Wt(),jt(),or(),Xt=s=>Array.from(s.getBigInt64Array(),Number),Vt=s=>{if(!s||s.length!==2)throw new Error("Tile requires 2 inputs.");if(s[0].dataType!==1&&s[0].dataType!==10&&s[0].dataType!==6&&s[0].dataType!==12)throw new Error("Tile only support float, float16, int32, and uint32 data types");if(s[1].dataType!==7)throw new Error("Tile `repeats` input should be of int64 data type");if(s[1].dims.length!==1)throw new Error("Tile `repeats` input should be 1-D");if(Xt(s[1]).length!==s[0].dims.length)throw new Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},er=(s,i)=>{let l=[];for(let f=0;f<s.length;++f)l.push(s[f]*i[f]);return l},hr=(s,i)=>{let l=s[0].dims,f=i??Xt(s[1]),p=er(l,f),g=ze.size(p),m=s[0].dataType,v=Qe("input",m,l.length),x=Dt("output",m,p.length),P=D=>`
      const inputShape = ${v.indices(...l)};
      ${D.registerUniform("output_size","u32").declareVariables(v,x)}
      ${D.mainStart()}
      ${D.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let output_indices = ${x.offsetToIndices("global_idx")};
      var input_indices: ${v.type.indices};
      for (var i = 0; i < ${l.length}; i++) {
        let input_dim_i = ${v.indicesGet("uniforms.input_shape","i")};
        let input_dim_value = ${x.indicesGet("output_indices","i")}  % input_dim_i;

        ${v.indicesSet("input_indices","i","input_dim_value")}
      }
      ${x.setByOffset("global_idx",v.getByIndices("input_indices"))}
    }`;return{name:"Tile",shaderCache:{hint:`${f}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:p,dataType:s[0].dataType}],dispatchGroup:{x:Math.ceil(g/64)},programUniforms:[{type:12,data:g},...xt(s[0].dims,p)]}),getShaderSource:P}},_r=s=>{Vt(s.inputs),s.compute(hr(s.inputs),{inputs:[0]})}}),vr,Kr,Ur,$r=c(()=>{Wt(),jt(),or(),vr=(s,i,l,f,p)=>{let g=Dt("output_data",p,l.length,4),m=Qe("a_data",i[1].dataType,i[1].dims.length,4),v=Qe("b_data",i[2].dataType,i[2].dims.length,4),x=Qe("c_data",i[0].dataType,i[0].dims.length,4),P,D=(R,E,K)=>`select(${E}, ${R}, ${K})`;if(!f)P=g.setByOffset("global_idx",D(m.getByOffset("global_idx"),v.getByOffset("global_idx"),x.getByOffset("global_idx")));else{let R=(E,K,q="")=>{let Y=`a_data[index_a${K}][component_a${K}]`,ne=`b_data[index_b${K}][component_b${K}]`,se=`bool(c_data[index_c${K}] & (0xffu << (component_c${K} * 8)))`;return`
            let output_indices${K} = ${g.offsetToIndices(`global_idx * 4u + ${K}u`)};
            let offset_a${K} = ${m.broadcastedIndicesToOffset(`output_indices${K}`,g)};
            let offset_b${K} = ${v.broadcastedIndicesToOffset(`output_indices${K}`,g)};
            let offset_c${K} = ${x.broadcastedIndicesToOffset(`output_indices${K}`,g)};
            let index_a${K} = offset_a${K} / 4u;
            let index_b${K} = offset_b${K} / 4u;
            let index_c${K} = offset_c${K} / 4u;
            let component_a${K} = offset_a${K} % 4u;
            let component_b${K} = offset_b${K} % 4u;
            let component_c${K} = offset_c${K} % 4u;
            ${E}[${K}] = ${q}(${D(Y,ne,se)});
          `};p===9?P=`
            var data = vec4<u32>(0);
            ${R("data",0,"u32")}
            ${R("data",1,"u32")}
            ${R("data",2,"u32")}
            ${R("data",3,"u32")}
            output_data[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:P=`
            ${R("output_data[global_idx]",0)}
            ${R("output_data[global_idx]",1)}
            ${R("output_data[global_idx]",2)}
            ${R("output_data[global_idx]",3)}
          `}return`
        ${s.registerUniform("vec_size","u32").declareVariables(x,m,v,g)}
        ${s.mainStart()}
        ${s.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${P}
      }`},Kr=s=>{let i=s[1].dims,l=s[2].dims,f=s[0].dims,p=s[1].dataType,g=!(ze.areEqual(i,l)&&ze.areEqual(l,f)),m=i,v=ze.size(i);if(g){let P=mn.calcShape(mn.calcShape(i,l,!1),f,!1);if(!P)throw new Error("Can't perform where op on the given tensors");m=P,v=ze.size(m)}let x=Math.ceil(v/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:P=>vr(P,s,m,g,p),getRunData:()=>({outputs:[{dims:m,dataType:p}],dispatchGroup:{x:Math.ceil(v/64/4)},programUniforms:[{type:12,data:x},...xt(f,i,l,m)]})}},Ur=s=>{s.compute(Kr(s.inputs))}}),Gr,tn=c(()=>{Up(),qo(),Vp(),Wp(),Gp(),Hp(),Ed(),Yp(),jd(),Qp(),qd(),Jp(),em(),tm(),W_(),ii(),rm(),sm(),Eh(),Hu(),om(),um(),lm(),Gh(),Fr(),Oh(),ef(),mm(),_m(),bm(),ym(),Ni(),wm(),Em(),Oa(),De(),Zt(),Fh(),ur(),Vs(),hu(),$r(),Gr=new Map([["Abs",[Lc]],["Acos",[Jo]],["Acosh",[Rc]],["Add",[dd]],["ArgMax",[Vo,Wo]],["ArgMin",[Pc,Wo]],["Asin",[Fc]],["Asinh",[eu]],["Atan",[Nc]],["Atanh",[Dc]],["Attention",[Ac]],["AveragePool",[sf,nf]],["BatchNormalization",[Yo]],["BiasAdd",[Oc]],["BiasSplitGelu",[ud]],["Cast",[Bc,tu]],["Ceil",[Uc]],["Clip",[zc]],["Concat",[wd,vd]],["Conv",[Fu,Ou]],["ConvTranspose",[Bd,ju]],["Cos",[ru]],["Cosh",[Vc]],["CumSum",[Ud,Vd]],["DepthToSpace",[Hd,Kd]],["DequantizeLinear",[ff,pf]],["Div",[hd]],["Einsum",[eh,th]],["Elu",[nu,ri]],["Equal",[pu]],["Erf",[Wc]],["Exp",[su]],["Expand",[ai]],["FastGelu",[ah]],["Floor",[Gc]],["FusedConv",[Fu,Ou]],["Gather",[uh,oh]],["GatherElements",[nm,Xi]],["GatherBlockQuantized",[ph,mh]],["GatherND",[ch,dh]],["Gelu",[Hc]],["Gemm",[vh,wh]],["GlobalAveragePool",[of,af]],["GlobalMaxPool",[pm,cf]],["Greater",[md]],["GreaterOrEqual",[_u]],["GridSample",[Ah,Gu]],["GroupQueryAttention",[Qu]],["HardSigmoid",[Xc,ou]],["InstanceNormalization",[Bh]],["LayerNormalization",[Uh]],["LeakyRelu",[au,ri]],["Less",[_d]],["LessOrEqual",[gd]],["Log",[sd]],["MatMul",[Wh]],["MatMulNBits",[qh,Zh]],["MaxPool",[uf,lf]],["Mul",[fd]],["MultiHeadAttention",[Ku,Ih]],["Neg",[qc]],["Not",[Kc]],["Pad",[nl]],["Pow",[pd]],["QuickGelu",[id,ri]],["Range",[mf]],["Reciprocal",[iu]],["ReduceMin",[Ec]],["ReduceMean",[yc]],["ReduceMax",[jo]],["ReduceSum",[zo]],["ReduceProd",[Tc]],["ReduceL1",[Bo]],["ReduceL2",[wc]],["ReduceLogSum",[Mc]],["ReduceLogSumExp",[vc]],["ReduceSumSquare",[xc]],["Relu",[Zc]],["Resize",[Ff,Nf]],["RotaryEmbedding",[ar]],["ScatterND",[yf,bf]],["Sigmoid",[Yc]],["Sin",[Qc]],["Sinh",[uu]],["Slice",[xe,Ne]],["SkipLayerNormalization",[Sn]],["Split",[Zu,Rh]],["Sqrt",[Jc]],["Softmax",[wt,Mt]],["Sub",[mu]],["Tan",[ed]],["Tanh",[td]],["ThresholdedRelu",[nd,ri]],["Tile",[_r]],["Transpose",[Ql,Io]],["Where",[Ur]]])}),Mn,En=c(()=>{Ze(),Ie(),or(),Mn=class{constructor(s){this.backend=s,this.repo=new Map,this.attributesBound=!1}getArtifact(s){return this.repo.get(s)}setArtifact(s,i){this.repo.set(s,i)}run(s,i,l,f,p){Ge(s.programInfo.name);let g=this.backend.device,m=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let v=[];for(let P of i)v.push({binding:v.length,resource:{buffer:P.buffer}});for(let P of l)v.push({binding:v.length,resource:{buffer:P.buffer}});p&&v.push({binding:v.length,resource:p});let x=g.createBindGroup({layout:s.computePipeline.getBindGroupLayout(0),entries:v,label:s.programInfo.name});if(this.backend.sessionStatus==="capturing"){let P={kernelId:this.backend.currentKernelId,computePipeline:s.computePipeline,bindGroup:x,dispatchGroup:f};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(P)}m.setPipeline(s.computePipeline),m.setBindGroup(0,x),m.dispatchWorkgroups(...f),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(),We(s.programInfo.name)}dispose(){}build(s,i){Ge(s.name);let l=this.backend.device,f=[];[{feature:"shader-f16",extension:"f16"},{feature:"subgroups",extension:"subgroups"},{feature:"subgroups-f16",extension:"subgroups_f16"}].forEach(P=>{l.features.has(P.feature)&&f.push(`enable ${P.extension};`)});let p=ql(i,this.backend.device.limits),g=s.getShaderSource(p),m=`${f.join(`
`)}
${p.additionalImplementations}
${g}`,v=l.createShaderModule({code:m,label:s.name});Tr("verbose",()=>`[WebGPU] ${s.name} shader code: ${m}`);let x=l.createComputePipeline({compute:{module:v,entryPoint:"main"},layout:"auto",label:s.name});return We(s.name),{programInfo:s,computePipeline:x,uniformVariablesInfo:p.variablesInfo}}normalizeDispatchGroupSize(s){let i=typeof s=="number"?s:s.x,l=typeof s=="number"?1:s.y||1,f=typeof s=="number"?1:s.z||1,p=this.backend.device.limits.maxComputeWorkgroupsPerDimension;if(i<=p&&l<=p&&f<=p)return[i,l,f];let g=i*l*f,m=Math.ceil(Math.sqrt(g));if(m>p){if(m=Math.ceil(Math.cbrt(g)),m>p)throw new Error("Total dispatch size exceeds WebGPU maximum.");return[m,m,m]}else return[m,m,1]}}}),os,La,hl,Vn,_s,jf=c(()=>{Ze(),Wt(),Ie(),ee(),Pr(),tn(),En(),os=(s,i)=>{if(i.length!==s.length)throw new Error(`inputDependencies length ${i.length} is not equal to inputTensors length ${s.length}.`);let l=[];for(let f=0;f<s.length;++f){let p=s[f].dataType;switch(i[f]){case"none":{l.push("");break}case"type":{l.push(`${p}`);break}case"rank":{let g=s[f].dims.length;l.push(`${p};${g}`);break}case"dims":{let g=s[f].dims.join(",");l.push(`${p};${g}`);break}default:throw new Error(`unsupported input dependency: ${i[f]}`)}}return l.join("|")},La=(s,i,l)=>{var p,g;let f=s.name;return(p=s.shaderCache)!=null&&p.hint&&(f+="["+s.shaderCache.hint+"]"),f+=":"+l+`:${os(i,((g=s.shaderCache)==null?void 0:g.inputDependencies)??new Array(i.length).fill("dims"))}`,f},hl=class{constructor(s){s&&(this.architecture=s.architecture,this.vendor=s.vendor)}isArchitecture(s){return this.architecture===s}isVendor(s){return this.vendor===s}},Vn=class{constructor(s){this.subgroupsSupported=s.features.has("subgroups"),this.subgroupsF16Supported=s.features.has("subgroups");let i=s.limits;!this.subgroupsSupported||!i.minSubgroupSize||!i.maxSubgroupSize?this.subgroupSizeRange=void 0:this.subgroupSizeRange=[i.minSubgroupSize,i.maxSubgroupSize]}},_s=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 s=this.kernelCustomData.get(this.currentKernelId);return s||(s={},this.kernelCustomData.set(this.currentKernelId,s)),s}async initialize(s,i){this.env=s;let l=[],f={requiredLimits:{maxComputeWorkgroupStorageSize:i.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:i.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:i.limits.maxStorageBufferBindingSize,maxBufferSize:i.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:i.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:i.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:i.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:i.limits.maxComputeWorkgroupSizeZ},requiredFeatures:l},p=g=>i.features.has(g)&&l.push(g)&&!0;p("chromium-experimental-timestamp-query-inside-passes")||p("timestamp-query"),p("shader-f16"),p("subgroups")&&p("subgroups-f16"),this.device=await i.requestDevice(f),this.deviceInfo=new Vn(this.device),this.adapterInfo=new hl(i.info||await i.requestAdapterInfo()),this.gpuDataManager=kr(this),this.programManager=new Mn(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,Ia(s.logLevel,!!s.debug),this.device.onuncapturederror=g=>{g.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${g.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!1}),Object.defineProperty(this.env.webgpu,"adapter",{value:i,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 s=this.getCommandEncoder(),i={};this.queryType==="at-passes"&&(i.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=s.beginComputePass(i)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;Ge(),this.endComputePass();let s;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),s=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(s,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,s,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&s.mapAsync(GPUMapMode.READ).then(()=>{var f;let i=new BigUint64Array(s.getMappedRange()),l=this.pendingQueries.get(s);for(let p=0;p<i.length/2;p++){let g=l[p],m=g.kernelId,v=this.kernels.get(m),x=v.kernelType,P=v.kernelName,D=g.programName,R=g.inputTensorViews,E=g.outputTensorViews,K=i[p*2],q=i[p*2+1];typeof this.queryTimeBase>"u"&&(this.queryTimeBase=K);let Y=Number(K-this.queryTimeBase),ne=Number(q-this.queryTimeBase);if(!Number.isSafeInteger(Y)||!Number.isSafeInteger(ne))throw new RangeError("incorrect timestamp range");if((f=this.env.webgpu.profiling)!=null&&f.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:R.map(se=>({dims:se.dims,dataType:rs(se.dataType)})),outputsMetadata:E.map(se=>({dims:se.dims,dataType:rs(se.dataType)})),kernelId:m,kernelType:x,kernelName:P,programName:D,startTime:Y,endTime:ne});else{let se="";R.forEach((ye,be)=>{se+=`input[${be}]: [${ye.dims}] | ${rs(ye.dataType)}, `});let te="";E.forEach((ye,be)=>{te+=`output[${be}]: [${ye.dims}] | ${rs(ye.dataType)}, `}),console.log(`[profiling] kernel "${m}|${x}|${P}|${D}" ${se}${te}execution time: ${ne-Y} ns`)}Ke("GPU",`${D}::${K}::${q}`)}s.unmap(),this.pendingQueries.delete(s)}),We()}run(s,i,l,f,p,g){Ge(s.name);let m=[];for(let te=0;te<i.length;++te){let ye=i[te].data;if(ye===0)continue;let be=this.gpuDataManager.get(ye);if(!be)throw new Error(`no GPU data for input: ${ye}`);m.push(be)}let{outputs:v,dispatchGroup:x,programUniforms:P}=s.getRunData(i),D=l.length===0?v.map((te,ye)=>ye):l;if(D.length!==v.length)throw new Error(`Output size ${D.length} must be equal to ${v.length}.`);let R=[],E=[];for(let te=0;te<v.length;++te){if(!Number.isInteger(D[te])||D[te]<-3||D[te]>=g)throw new Error(`Invalid output index: ${D[te]}`);if(D[te]===-3)continue;let ye=D[te]===-1,be=D[te]===-2,Ce=ye||be?p(v[te].dataType,v[te].dims):f(D[te],v[te].dataType,v[te].dims);if(R.push(Ce),Ce.data===0)continue;let Be=this.gpuDataManager.get(Ce.data);if(!Be)throw new Error(`no GPU data for output: ${Ce.data}`);if(ye&&this.temporaryData.push(Be),be){let je=this.kernelPersistentData.get(this.currentKernelId);je||(je=[],this.kernelPersistentData.set(this.currentKernelId,je)),je.push(Be)}E.push(Be)}if(m.length!==i.length||E.length!==R.length){if(E.length===0)return We(s.name),R;throw new Error(`Program ${s.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let K;if(P){let te=0,ye=[];P.forEach(je=>{let tt=typeof je.data=="number"?[je.data]:je.data;if(tt.length===0)return;let lt=je.type===10?2:4,kt,ir;je.type===10?(ir=tt.length>4?16:tt.length>2?8:tt.length*lt,kt=tt.length>4?16:lt*tt.length):(ir=tt.length<=2?tt.length*lt:16,kt=16),te=Math.ceil(te/ir)*ir,ye.push(te);let cr=je.type===10?8:4;te+=tt.length>4?Math.ceil(tt.length/cr)*kt:tt.length*lt});let be=16;te=Math.ceil(te/be)*be;let Ce=new ArrayBuffer(te);P.forEach((je,tt)=>{let lt=ye[tt],kt=typeof je.data=="number"?[je.data]:je.data;if(je.type===6)new Int32Array(Ce,lt,kt.length).set(kt);else if(je.type===12)new Uint32Array(Ce,lt,kt.length).set(kt);else if(je.type===10)new Uint16Array(Ce,lt,kt.length).set(kt);else if(je.type===1)new Float32Array(Ce,lt,kt.length).set(kt);else throw new Error(`Unsupported uniform type: ${rs(je.type)}`)});let Be=this.gpuDataManager.create(te,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(Be.buffer,0,Ce,0,te),this.gpuDataManager.release(Be.id),K={offset:0,size:te,buffer:Be.buffer}}let q=this.programManager.normalizeDispatchGroupSize(x),Y=q[1]===1&&q[2]===1,ne=La(s,i,Y),se=this.programManager.getArtifact(ne);if(se||(se=this.programManager.build(s,q),this.programManager.setArtifact(ne,se),Tr("info",()=>`[artifact] key: ${ne}, programName: ${s.name}`)),P&&se.uniformVariablesInfo){if(P.length!==se.uniformVariablesInfo.length)throw new Error(`Uniform variables count mismatch: expect ${se.uniformVariablesInfo.length}, got ${P.length} in program "${se.programInfo.name}".`);for(let te=0;te<P.length;te++){let ye=P[te],be=ye.type,Ce=typeof ye.data=="number"?1:ye.data.length,[Be,je]=se.uniformVariablesInfo[te];if(be!==Be||Ce!==je)throw new Error(`Uniform variable ${te} mismatch: expect type ${Be} with size ${je}, got type ${be} with size ${Ce} in program 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s=this.capturedCommandList.get(this.currentSessionId),i=this.capturedPendingKernels.get(this.currentSessionId),l=s.length;this.pendingKernels=[];for(let f=0;f<l;f++){let p=this.getComputePassEncoder(),g=s[f];this.writeTimestamp(this.pendingDispatchNumber*2),p.setPipeline(g.computePipeline),p.setBindGroup(0,g.bindGroup),p.dispatchWorkgroups(...g.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!=="none"&&this.pendingKernels.push(i[f]),(this.pendingDispatchNumber>=this.maxDispatchNumber||this.queryType==="at-passes")&&this.endComputePass(),this.pendingDispatchNumber>=this.maxDispatchNumber&&this.flush()}this.flush(),this.sessionStatus="default"}onCreateSession(){this.gpuDataManager.onCreateSession()}onReleaseSession(s){this.unregisterBuffers(s),this.capturedCommandList.has(s)&&this.capturedCommandList.delete(s),this.capturedPendingKernels.has(s)&&this.capturedPendingKernels.delete(s),this.gpuDataManager.onReleaseSession(s)}onRunStart(s){this.currentSessionId=s,this.setQueryType()}}}),no,li,so,Vr,an,ks,fa,Ra,fl=c(()=>{Ie(),no=1,li=()=>no++,so=new 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nw(this.module,this.dataType,this.data,i)}},gl=class{constructor(s,i,l){this.module=s,this.backend=i,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=i.adapterInfo,this.deviceInfo=i.deviceInfo;let f=s.PTR_SIZE,p=l/s.PTR_SIZE,g=f===4?"i32":"i64";this.opKernelContext=Number(s.getValue(f*p++,g));let m=Number(s.getValue(f*p++,g));this.outputCount=Number(s.getValue(f*p++,g)),this.customDataOffset=Number(s.getValue(f*p++,"*")),this.customDataSize=Number(s.getValue(f*p++,g));let v=[];for(let x=0;x<m;x++){let P=Number(s.getValue(f*p++,g)),D=Number(s.getValue(f*p++,"*")),R=Number(s.getValue(f*p++,g)),E=[];for(let K=0;K<R;K++)E.push(Number(s.getValue(f*p++,g)));v.push(new Fa(s,P,D,E))}this.inputs=v}get kernelCustomData(){return this.backend.currentKernelCustomData}get customDataBuffer(){return this.module.HEAPU8.subarray(this.customDataOffset,this.customDataOffset+this.customDataSize)}compute(s,i){var m;let l=((m=i==null?void 0:i.inputs)==null?void 0:m.map(v=>typeof 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j.wasm.trace!="boolean"&&(j.wasm.trace=!1),typeof j.wasm.numThreads!="number"||!Number.isInteger(j.wasm.numThreads)||j.wasm.numThreads<=0)if(typeof self<"u"&&!self.crossOriginIsolated)j.wasm.numThreads=1;else{let s=typeof navigator>"u"?d("node:os").cpus().length:navigator.hardwareConcurrency;j.wasm.numThreads=Math.min(4,Math.ceil((s||1)/2))}},tg=class{async init(s){eg(),await ob(),await ub(s)}async createInferenceSessionHandler(s,i){let l=new _b;return await l.loadModel(s,i),Promise.resolve(l)}},bb=new tg});Ze(),Ze(),Ze();var Uv="1.21.0-dev.20250114-228dd16893",Vv=Fe;{let s=(zv(),y(gb)).wasmBackend;S("webgpu",s,5),S("webnn",s,5),S("cpu",s,10),S("wasm",s,10)}Object.defineProperty(j.versions,"web",{value:Uv,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.
 * =============================================================================
 */},"./src/backends/onnx.js":(r,e,t)=>{var n;t.r(e),t.d(e,{Tensor:()=>d.Tensor,createInferenceSession:()=>H,deviceToExecutionProviders:()=>S,isONNXProxy:()=>U,isONNXTensor:()=>B});var a=t("./src/env.js"),o=t("?2ce3"),u=t("./node_modules/onnxruntime-web/dist/ort.bundle.min.mjs?3a96"),d=t("./node_modules/onnxruntime-common/dist/esm/index.js");const c=Object.freeze({auto:null,gpu:null,cpu:"cpu",wasm:"wasm",webgpu:"webgpu",cuda:"cuda",dml:"dml",webnn:{name:"webnn",deviceType:"cpu"},"webnn-npu":{name:"webnn",deviceType:"npu"},"webnn-gpu":{name:"webnn",deviceType:"gpu"},"webnn-cpu":{name:"webnn",deviceType:"cpu"}}),h=[];let _,y;const w=Symbol.for("onnxruntime");if(w in globalThis)y=globalThis[w];else if(a.apis.IS_NODE_ENV){switch(y=o??(n||(n=t.t(o,2))),process.platform){case"win32":h.push("dml");break;case"linux":process.arch==="x64"&&h.push("cuda");break}h.push("cpu"),_=["cpu"]}else y=u,a.apis.IS_WEBNN_AVAILABLE&&h.push("webnn-npu","webnn-gpu","webnn-cpu","webnn"),a.apis.IS_WEBGPU_AVAILABLE&&h.push("webgpu"),h.push("wasm"),_=["wasm"];const M=y.InferenceSession;function S(F=null){if(!F)return _;switch(F){case"auto":return h;case"gpu":return h.filter(I=>["webgpu","cuda","dml","webnn-gpu"].includes(I))}if(h.includes(F))return[c[F]??F];throw new Error(`Unsupported device: "${F}". Should be one of: ${h.join(", ")}.`)}let G=null;async function H(F,I,k){G&&await G;const $=M.create(F,I);G??(G=$);const j=await $;return j.config=k,j}function B(F){return F instanceof y.Tensor}const z=y==null?void 0:y.env;z!=null&&z.wasm&&(z.wasm.wasmPaths=`https://cdn.jsdelivr.net/npm/@huggingface/transformers@${a.env.version}/dist/`,z.wasm.proxy=!1,(typeof crossOriginIsolated>"u"||!crossOriginIsolated)&&(z.wasm.numThreads=1)),z!=null&&z.webgpu&&(z.webgpu.powerPreference="high-performance");function U(){var F;return(F=z==null?void 0:z.wasm)==null?void 0:F.proxy}a.env.backends.onnx=z},"./src/base/feature_extraction_utils.js":(r,e,t)=>{t.r(e),t.d(e,{FeatureExtractor:()=>u,validate_audio_inputs:()=>d});var n=t("./src/utils/constants.js"),a=t("./src/utils/generic.js"),o=t("./src/utils/hub.js");class u extends a.Callable{constructor(h){super(),this.config=h}static async from_pretrained(h,_){const y=await(0,o.getModelJSON)(h,n.FEATURE_EXTRACTOR_NAME,!0,_);return new this(y)}}function d(c,h){var _;if(!(c instanceof Float32Array||c instanceof Float64Array))throw new Error(`${h} expects input to be a Float32Array or a Float64Array, but got ${((_=c==null?void 0:c.constructor)==null?void 0:_.name)??typeof c} instead. 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No instance will be fused."),ce=new Set);const Pe=I.class_queries_logits??I.logits,ie=(I.masks_queries_logits??I.pred_masks).sigmoid();let[oe,re,ge]=Pe.dims;if(ge-=1,ue!==null&&ue.length!==oe)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let ve=[];for(let me=0;me<oe;++me){let Le=ue!==null?ue[me]:null,$e=Pe[me],pe=ie[me],[X,le,ke]=S($e,pe,k,ge);if(ke.length===0){let[ae,He]=Le??pe.dims.slice(-2),Ve=new a.Tensor("int32",new Int32Array(ae*He).fill(-1),[ae,He]);ve.push({segmentation:Ve,segments_info:[]});continue}let[Re,Xe]=H(X,le,ke,$,j,ce,Le);ve.push({segmentation:Re,segments_info:Xe})}return ve}function U(I,k=.5,$=null){throw new Error("`post_process_instance_segmentation` is not yet implemented.")}class F extends n.Callable{constructor(k){super(),this.image_mean=k.image_mean??k.mean,this.image_std=k.image_std??k.std,this.resample=k.resample??2,this.do_rescale=k.do_rescale??!0,this.rescale_factor=k.rescale_factor??1/255,this.do_normalize=k.do_normalize,this.do_thumbnail=k.do_thumbnail,this.size=k.size??k.image_size,this.do_resize=k.do_resize??this.size!==void 0,this.size_divisibility=k.size_divisibility??k.size_divisor,this.do_center_crop=k.do_center_crop,this.crop_size=k.crop_size,this.do_convert_rgb=k.do_convert_rgb??!0,this.do_crop_margin=k.do_crop_margin,this.pad_size=k.pad_size,this.do_pad=k.do_pad,this.do_pad&&!this.pad_size&&this.size&&this.size.width!==void 0&&this.size.height!==void 0&&(this.pad_size=this.size),this.do_flip_channel_order=k.do_flip_channel_order??!1,this.config=k}async thumbnail(k,$,j=2){const ce=k.height,ue=k.width,Pe=$.height,Te=$.width;let ie=Math.min(ce,Pe),oe=Math.min(ue,Te);return ie===ce&&oe===ue?k:(ce>ue?oe=Math.floor(ue*ie/ce):ue>ce&&(ie=Math.floor(ce*oe/ue)),await k.resize(oe,ie,{resample:j}))}async crop_margin(k,$=200){const j=k.clone().grayscale(),ce=(0,o.min)(j.data)[0],Pe=(0,o.max)(j.data)[0]-ce;if(Pe===0)return k;const Te=$/255;let ie=j.width,oe=j.height,re=0,ge=0;const ve=j.data;for(let me=0;me<j.height;++me){const Le=me*j.width;for(let $e=0;$e<j.width;++$e)(ve[Le+$e]-ce)/Pe<Te&&(ie=Math.min(ie,$e),oe=Math.min(oe,me),re=Math.max(re,$e),ge=Math.max(ge,me))}return k=await k.crop([ie,oe,re,ge]),k}pad_image(k,$,j,{mode:ce="constant",center:ue=!1,constant_values:Pe=0}={}){const[Te,ie,oe]=$;let re,ge;if(typeof j=="number"?(re=j,ge=j):j==="square"?re=ge=Math.max(Te,ie):(re=j.width,ge=j.height),re!==ie||ge!==Te){const ve=new Float32Array(re*ge*oe);if(Array.isArray(Pe))for(let $e=0;$e<ve.length;++$e)ve[$e]=Pe[$e%oe];else Pe!==0&&ve.fill(Pe);const[me,Le]=ue?[Math.floor((re-ie)/2),Math.floor((ge-Te)/2)]:[0,0];for(let $e=0;$e<Te;++$e){const pe=($e+Le)*re,X=$e*ie;for(let le=0;le<ie;++le){const ke=(pe+le+me)*oe,Re=(X+le)*oe;for(let Xe=0;Xe<oe;++Xe)ve[ke+Xe]=k[Re+Xe]}}if(ce==="symmetric"){if(ue)throw new Error("`center` padding is not supported when `mode` is set to `symmetric`.");const $e=Te-1,pe=ie-1;for(let X=0;X<ge;++X){const le=X*re,ke=(0,u.calculateReflectOffset)(X,$e)*ie;for(let Re=0;Re<re;++Re){if(X<Te&&Re<ie)continue;const Xe=(le+Re)*oe,ae=(ke+(0,u.calculateReflectOffset)(Re,pe))*oe;for(let He=0;He<oe;++He)ve[Xe+He]=k[ae+He]}}}k=ve,$=[ge,re,oe]}return[k,$]}rescale(k){for(let $=0;$<k.length;++$)k[$]=this.rescale_factor*k[$]}get_resize_output_image_size(k,$){const[j,ce]=k.size;let ue,Pe;if(this.do_thumbnail){const{height:Te,width:ie}=$;ue=Math.min(Te,ie)}else Number.isInteger($)?(ue=$,Pe=this.config.max_size??ue):$!==void 0&&(ue=$.shortest_edge,Pe=$.longest_edge);if(ue!==void 0||Pe!==void 0){const Te=ue===void 0?1:Math.max(ue/j,ue/ce),ie=j*Te,oe=ce*Te,re=Pe===void 0?1:Math.min(Pe/ie,Pe/oe);let ge=Math.floor(Number((ie*re).toFixed(2))),ve=Math.floor(Number((oe*re).toFixed(2)));return this.size_divisibility!==void 0&&([ge,ve]=_([ge,ve],this.size_divisibility)),[ge,ve]}else if($!==void 0&&$.width!==void 0&&$.height!==void 0){let Te=$.width,ie=$.height;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let oe=ie/ce,re=Te/j;Math.abs(1-re)<Math.abs(1-oe)?oe=re:re=oe,ie=h(oe*ce,this.config.ensure_multiple_of),Te=h(re*j,this.config.ensure_multiple_of)}return[Te,ie]}else{if(this.size_divisibility!==void 0)return _([j,ce],this.size_divisibility);if($.min_pixels!==void 0&&$.max_pixels!==void 0){const{min_pixels:Te,max_pixels:ie}=$,oe=this.config.patch_size*this.config.merge_size;return B(ce,j,oe,Te,ie)}else throw new Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify($)}`)}}async resize(k){const[$,j]=this.get_resize_output_image_size(k,this.size);return await k.resize($,j,{resample:this.resample})}async preprocess(k,{do_normalize:$=null,do_pad:j=null,do_convert_rgb:ce=null,do_convert_grayscale:ue=null,do_flip_channel_order:Pe=null}={}){this.do_crop_margin&&(k=await this.crop_margin(k));const[Te,ie]=k.size;if(ce??this.do_convert_rgb?k=k.rgb():ue&&(k=k.grayscale()),this.do_resize&&(k=await this.resize(k)),this.do_thumbnail&&(k=await this.thumbnail(k,this.size,this.resample)),this.do_center_crop){let me,Le;Number.isInteger(this.crop_size)?(me=this.crop_size,Le=this.crop_size):(me=this.crop_size.width,Le=this.crop_size.height),k=await k.center_crop(me,Le)}const oe=[k.height,k.width];let re=Float32Array.from(k.data),ge=[k.height,k.width,k.channels];if(this.do_rescale&&this.rescale(re),$??this.do_normalize){let me=this.image_mean;Array.isArray(this.image_mean)||(me=new Array(k.channels).fill(me));let Le=this.image_std;if(Array.isArray(this.image_std)||(Le=new Array(k.channels).fill(me)),me.length!==k.channels||Le.length!==k.channels)throw new Error(`When set to arrays, the length of \`image_mean\` (${me.length}) and \`image_std\` (${Le.length}) must match the number of channels in the image (${k.channels}).`);for(let $e=0;$e<re.length;$e+=k.channels)for(let pe=0;pe<k.channels;++pe)re[$e+pe]=(re[$e+pe]-me[pe])/Le[pe]}if(j??this.do_pad){if(this.pad_size)[re,ge]=this.pad_image(re,[k.height,k.width,k.channels],this.pad_size);else if(this.size_divisibility){const[me,Le]=_([ge[1],ge[0]],this.size_divisibility);[re,ge]=this.pad_image(re,ge,{width:me,height:Le})}}if(Pe??this.do_flip_channel_order){if(ge[2]!==3)throw new Error("Flipping channel order is only supported for RGB images.");for(let me=0;me<re.length;me+=3){const Le=re[me];re[me]=re[me+2],re[me+2]=Le}}const ve=new a.Tensor("float32",re,ge).permute(2,0,1);return{original_size:[ie,Te],reshaped_input_size:oe,pixel_values:ve}}async _call(k,...$){Array.isArray(k)||(k=[k]);const j=await Promise.all(k.map(ue=>this.preprocess(ue)));return{pixel_values:(0,a.stack)(j.map(ue=>ue.pixel_values),0),original_sizes:j.map(ue=>ue.original_size),reshaped_input_sizes:j.map(ue=>ue.reshaped_input_size)}}static async from_pretrained(k,$){const j=await(0,d.getModelJSON)(k,c.IMAGE_PROCESSOR_NAME,!0,$);return new this(j)}}},"./src/base/processing_utils.js":(r,e,t)=>{t.r(e),t.d(e,{Processor:()=>u});var n=t("./src/utils/constants.js"),a=t("./src/utils/generic.js"),o=t("./src/utils/hub.js");class u extends a.Callable{constructor(c,h){super(),this.config=c,this.components=h}get image_processor(){return this.components.image_processor}get tokenizer(){return this.components.tokenizer}get feature_extractor(){return this.components.feature_extractor}apply_chat_template(c,h={}){if(!this.tokenizer)throw new Error("Unable to apply chat template without a tokenizer.");return this.tokenizer.apply_chat_template(c,{tokenize:!1,...h})}batch_decode(...c){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.batch_decode(...c)}decode(...c){if(!this.tokenizer)throw new Error("Unable to decode without a tokenizer.");return this.tokenizer.decode(...c)}async _call(c,...h){for(const _ of[this.image_processor,this.feature_extractor,this.tokenizer])if(_)return _(c,...h);throw new Error("No image processor, feature extractor, or tokenizer found.")}static async from_pretrained(c,h){const[_,y]=await Promise.all([this.uses_processor_config?(0,o.getModelJSON)(c,n.PROCESSOR_NAME,!0,h):{},Promise.all(this.classes.filter(w=>w in this).map(async w=>{const M=await this[w].from_pretrained(c,h);return[w.replace(/_class$/,""),M]})).then(Object.fromEntries)]);return new this(_,y)}}we(u,"classes",["image_processor_class","tokenizer_class","feature_extractor_class"]),we(u,"uses_processor_config",!1)},"./src/configs.js":(r,e,t)=>{t.r(e),t.d(e,{AutoConfig:()=>h,PretrainedConfig:()=>c,getKeyValueShapes:()=>d});var n=t("./src/utils/core.js"),a=t("./src/utils/hub.js");async function o(_,y){return await(0,a.getModelJSON)(_,"config.json",!0,y)}function u(_){const y={};let w={};switch(_.model_type){case"llava":case"paligemma":case"florence2":case"llava_onevision":case"idefics3":w=u(_.text_config);break;case"moondream1":w=u(_.phi_config);break;case"musicgen":w=u(_.decoder);break;case"multi_modality":w=u(_.language_config);break;case"gpt2":case"gptj":case"jais":case"codegen":case"gpt_bigcode":y.num_heads="n_head",y.num_layers="n_layer",y.hidden_size="n_embd";break;case"gpt_neox":case"stablelm":case"opt":case"falcon":y.num_heads="num_attention_heads",y.num_layers="num_hidden_layers",y.hidden_size="hidden_size";break;case"llama":case"olmo":case"olmo2":case"mobilellm":case"granite":case"cohere":case"mistral":case"starcoder2":case"qwen2":case"qwen2_vl":case"phi":case"phi3":case"phi3_v":y.num_heads="num_key_value_heads",y.num_layers="num_hidden_layers",y.hidden_size="hidden_size",y.num_attention_heads="num_attention_heads";break;case"gemma":case"gemma2":y.num_heads="num_key_value_heads",y.num_layers="num_hidden_layers",y.dim_kv="head_dim";break;case"openelm":y.num_heads="num_kv_heads",y.num_layers="num_transformer_layers",y.dim_kv="head_dim";break;case"gpt_neo":case"donut-swin":y.num_heads="num_heads",y.num_layers="num_layers",y.hidden_size="hidden_size";break;case"bloom":y.num_heads="n_head",y.num_layers="n_layer",y.hidden_size="hidden_size";break;case"mpt":y.num_heads="n_heads",y.num_layers="n_layers",y.hidden_size="d_model";break;case"exaone":y.num_heads="num_key_value_heads",y.num_layers="num_layers",y.dim_kv="head_dim",y.num_attention_heads="num_attention_heads";break;case"t5":case"mt5":case"longt5":y.num_decoder_layers="num_decoder_layers",y.num_decoder_heads="num_heads",y.decoder_dim_kv="d_kv",y.num_encoder_layers="num_layers",y.num_encoder_heads="num_heads",y.encoder_dim_kv="d_kv";break;case"bart":case"mbart":case"marian":case"whisper":case"m2m_100":case"blenderbot":case"blenderbot-small":case"florence2_language":y.num_decoder_layers="decoder_layers",y.num_decoder_heads="decoder_attention_heads",y.decoder_hidden_size="d_model",y.num_encoder_layers="encoder_layers",y.num_encoder_heads="encoder_attention_heads",y.encoder_hidden_size="d_model";break;case"speecht5":y.num_decoder_layers="decoder_layers",y.num_decoder_heads="decoder_attention_heads",y.decoder_hidden_size="hidden_size",y.num_encoder_layers="encoder_layers",y.num_encoder_heads="encoder_attention_heads",y.encoder_hidden_size="hidden_size";break;case"trocr":y.num_encoder_layers=y.num_decoder_layers="decoder_layers",y.num_encoder_heads=y.num_decoder_heads="decoder_attention_heads",y.encoder_hidden_size=y.decoder_hidden_size="d_model";break;case"musicgen_decoder":case"moonshine":y.num_encoder_layers=y.num_decoder_layers="num_hidden_layers",y.num_encoder_heads=y.num_decoder_heads="num_attention_heads",y.encoder_hidden_size=y.decoder_hidden_size="hidden_size";break;case"vision-encoder-decoder":const S=u(_.decoder),G="num_decoder_layers"in S,H=(0,n.pick)(_,["model_type","is_encoder_decoder"]);return G?(H.num_decoder_layers=S.num_decoder_layers,H.num_decoder_heads=S.num_decoder_heads,H.decoder_hidden_size=S.decoder_hidden_size,H.num_encoder_layers=S.num_encoder_layers,H.num_encoder_heads=S.num_encoder_heads,H.encoder_hidden_size=S.encoder_hidden_size):(H.num_layers=S.num_layers,H.num_heads=S.num_heads,H.hidden_size=S.hidden_size),H}const M={...w,...(0,n.pick)(_,["model_type","multi_query","is_encoder_decoder"])};for(const S in y)M[S]=_[y[S]];return M}function d(_,{prefix:y="past_key_values",batch_size:w=1}={}){const M={},S=_.normalized_config;if(S.is_encoder_decoder&&"num_encoder_heads"in S&&"num_decoder_heads"in S){const G=S.encoder_dim_kv??S.encoder_hidden_size/S.num_encoder_heads,H=S.decoder_dim_kv??S.decoder_hidden_size/S.num_decoder_heads,B=[w,S.num_encoder_heads,0,G],z=[w,S.num_decoder_heads,0,H];for(let 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n=t("./src/utils/generic.js");t("./src/utils/tensor.js");var a=t("./src/utils/maths.js");class o extends n.Callable{_call(k,$){throw Error("`_call` should be implemented in a subclass")}}class u extends n.Callable{_call(k,$){throw Error("`_call` should be implemented in a subclass")}}class d extends n.Callable{constructor(){super(),this.processors=[]}push(k){this.processors.push(k)}extend(k){this.processors.push(...k)}_call(k,$){let j=$;for(const ce of this.processors)j=ce(k,j);return j}[Symbol.iterator](){return this.processors.values()}}class c extends o{constructor(k){super(),this.bos_token_id=k}_call(k,$){for(let j=0;j<k.length;++j)if(k[j].length===1){const ce=$[j].data;ce.fill(-1/0),ce[this.bos_token_id]=0}return $}}class h extends o{constructor(k,$){super(),this.max_length=k,this.eos_token_id=Array.isArray($)?$:[$]}_call(k,$){for(let j=0;j<k.length;++j)if(k[j].length===this.max_length-1){const ce=$[j].data;ce.fill(-1/0);for(const ue of this.eos_token_id)ce[ue]=0}return $}}class _ 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`)?(S=M.slice(this.print_len),this.token_cache=[],this.print_len=0):M.length>0&&(0,a.is_chinese_char)(M.charCodeAt(M.length-1))?(S=M.slice(this.print_len),this.print_len+=S.length):(S=M.slice(this.print_len,M.lastIndexOf(" ")+1),this.print_len+=S.length),this.on_finalized_text(S,!1)}end(){let y;this.token_cache.length>0?(y=this.tokenizer.decode(this.token_cache,this.decode_kwargs).slice(this.print_len),this.token_cache=[],this.print_len=0):y="",this.next_tokens_are_prompt=!0,this.on_finalized_text(y,!0)}on_finalized_text(y,w){var M,S;y.length>0&&((M=this.callback_function)==null||M.call(this,y)),w&&this.callback_function===d&&o.apis.IS_PROCESS_AVAILABLE&&((S=this.callback_function)==null||S.call(this,`
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Ne=Object.values(Z.past_key_values)[0].dims.at(-2),{input_ids:De,attention_mask:nt}=Z;if(!(nt&&nt.dims[1]>De.dims[1])){if(Ne<De.dims[1])Z.input_ids=De.slice(null,[Ne,null]);else if(A.config.image_token_index!=null&&De.data.some(at=>at==A.config.image_token_index)){const at=A.config.num_image_tokens;if(!at)throw new Error("`num_image_tokens` is missing in the model configuration.");const wt=De.dims[1]-(Ne-at);Z.input_ids=De.slice(null,[-wt,null]),Z.attention_mask=(0,w.ones)([1,Ne+wt])}}}return Z}function ke(A,O,Z,xe){return Z.past_key_values&&(O=O.map(Ne=>[Ne.at(-1)])),{...Z,decoder_input_ids:oe(O)}}function Re(A,...O){return A.config.is_encoder_decoder?ke(A,...O):le(A,...O)}function Xe(A,O,Z,xe){const Ne=!!Z.past_key_values;return xe.guidance_scale!==null&&xe.guidance_scale>1&&(Ne?Z.input_ids=(0,w.cat)([Z.input_ids,Z.input_ids],0):(Z.input_ids=(0,w.cat)([Z.input_ids,(0,w.full_like)(Z.input_ids,BigInt(xe.pad_token_id))],0),Z.attention_mask=(0,w.cat)([Z.attention_mask,(0,w.full_like)(Z.attention_mask,0n)],0))),(Ne||!Z.pixel_values)&&(Z.pixel_values=(0,w.full)([0,0,3,384,384],1)),Ne&&(Z.images_seq_mask=new w.Tensor("bool",new Array(1).fill(!0).fill(!1,0,1),[1,1]),Z.images_emb_mask=new w.Tensor("bool",new Array(0).fill(!1),[1,1,0])),Z}class ae extends u.Callable{constructor(Z,xe,Ne){super();we(this,"main_input_name","input_ids");we(this,"forward_params",["input_ids","attention_mask"]);this.config=Z,this.sessions=xe,this.configs=Ne;const De=$.get(this.constructor),nt=I.get(De);switch(this.can_generate=!1,this._forward=null,this._prepare_inputs_for_generation=null,nt){case F.DecoderOnly:this.can_generate=!0,this._forward=me,this._prepare_inputs_for_generation=le;break;case F.Seq2Seq:case F.Vision2Seq:case 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from_pretrained(Z,{progress_callback:xe=null,config:Ne=null,cache_dir:De=null,local_files_only:nt=!1,revision:at="main",model_file_name:wt=null,subfolder:Mt="onnx",device:Zt=null,dtype:Xt=null,use_external_data_format:Vt=null,session_options:er={}}={}){let hr={progress_callback:xe,config:Ne,cache_dir:De,local_files_only:nt,revision:at,model_file_name:wt,subfolder:Mt,device:Zt,dtype:Xt,use_external_data_format:Vt,session_options:er};const _r=$.get(this),ur=I.get(_r);Ne=hr.config=await n.AutoConfig.from_pretrained(Z,hr);let vr;if(ur===F.DecoderOnly)vr=await Promise.all([ce(Z,{model:hr.model_file_name??"model"},hr),ue(Z,{generation_config:"generation_config.json"},hr)]);else if(ur===F.Seq2Seq||ur===F.Vision2Seq)vr=await Promise.all([ce(Z,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},hr),ue(Z,{generation_config:"generation_config.json"},hr)]);else if(ur===F.MaskGeneration)vr=await Promise.all([ce(Z,{model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"},hr)]);else if(ur===F.EncoderDecoder)vr=await Promise.all([ce(Z,{model:"encoder_model",decoder_model_merged:"decoder_model_merged"},hr)]);else if(ur===F.ImageTextToText){const Kr={embed_tokens:"embed_tokens",vision_encoder:"vision_encoder",decoder_model_merged:"decoder_model_merged"};Ne.is_encoder_decoder&&(Kr.model="encoder_model"),vr=await Promise.all([ce(Z,Kr,hr),ue(Z,{generation_config:"generation_config.json"},hr)])}else if(ur===F.Musicgen)vr=await Promise.all([ce(Z,{model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"},hr),ue(Z,{generation_config:"generation_config.json"},hr)]);else if(ur===F.MultiModality)vr=await Promise.all([ce(Z,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"language_model",lm_head:"lm_head",gen_head:"gen_head",gen_img_embeds:"gen_img_embeds",image_decode:"image_decode"},hr),ue(Z,{generation_config:"generation_config.json"},hr)]);else if(ur===F.Phi3V)vr=await Promise.all([ce(Z,{prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"},hr),ue(Z,{generation_config:"generation_config.json"},hr)]);else{if(ur!==F.EncoderOnly){const Kr=_r??(Ne==null?void 0:Ne.model_type);Kr!=="custom"&&console.warn(`Model type for '${Kr}' not found, assuming encoder-only architecture. Please report this at ${h.GITHUB_ISSUE_URL}.`)}vr=await Promise.all([ce(Z,{model:hr.model_file_name??"model"},hr)])}return new this(Ne,...vr)}async _call(Z){return await this.forward(Z)}async forward(Z){return await this._forward(this,Z)}get generation_config(){var Z;return((Z=this.configs)==null?void 0:Z.generation_config)??null}_get_logits_warper(Z){const xe=new _.LogitsProcessorList;return Z.temperature!==null&&Z.temperature!==1&&xe.push(new _.TemperatureLogitsWarper(Z.temperature)),Z.top_k!==null&&Z.top_k!==0&&xe.push(new _.TopKLogitsWarper(Z.top_k)),Z.top_p!==null&&Z.top_p<1&&xe.push(new _.TopPLogitsWarper(Z.top_p)),xe}_get_logits_processor(Z,xe,Ne=null){const De=new _.LogitsProcessorList;if(Z.repetition_penalty!==null&&Z.repetition_penalty!==1&&De.push(new _.RepetitionPenaltyLogitsProcessor(Z.repetition_penalty)),Z.no_repeat_ngram_size!==null&&Z.no_repeat_ngram_size>0&&De.push(new _.NoRepeatNGramLogitsProcessor(Z.no_repeat_ngram_size)),Z.bad_words_ids!==null&&De.push(new _.NoBadWordsLogitsProcessor(Z.bad_words_ids,Z.eos_token_id)),Z.min_length!==null&&Z.eos_token_id!==null&&Z.min_length>0&&De.push(new _.MinLengthLogitsProcessor(Z.min_length,Z.eos_token_id)),Z.min_new_tokens!==null&&Z.eos_token_id!==null&&Z.min_new_tokens>0&&De.push(new _.MinNewTokensLengthLogitsProcessor(xe,Z.min_new_tokens,Z.eos_token_id)),Z.forced_bos_token_id!==null&&De.push(new _.ForcedBOSTokenLogitsProcessor(Z.forced_bos_token_id)),Z.forced_eos_token_id!==null&&De.push(new _.ForcedEOSTokenLogitsProcessor(Z.max_length,Z.forced_eos_token_id)),Z.begin_suppress_tokens!==null){const nt=xe>1||Z.forced_bos_token_id===null?xe:xe+1;De.push(new _.SuppressTokensAtBeginLogitsProcessor(Z.begin_suppress_tokens,nt))}return Z.guidance_scale!==null&&Z.guidance_scale>1&&De.push(new _.ClassifierFreeGuidanceLogitsProcessor(Z.guidance_scale)),Ne!==null&&De.extend(Ne),De}_prepare_generation_config(Z,xe,Ne=y.GenerationConfig){const De={...this.config};for(const at of["decoder","generator","text_config"])at in De&&Object.assign(De,De[at]);const nt=new Ne(De);return Object.assign(nt,this.generation_config??{}),Z&&Object.assign(nt,Z),xe&&Object.assign(nt,(0,d.pick)(xe,Object.getOwnPropertyNames(nt))),nt}_get_stopping_criteria(Z,xe=null){const Ne=new G.StoppingCriteriaList;return Z.max_length!==null&&Ne.push(new G.MaxLengthCriteria(Z.max_length,this.config.max_position_embeddings??null)),Z.eos_token_id!==null&&Ne.push(new G.EosTokenCriteria(Z.eos_token_id)),xe&&Ne.extend(xe),Ne}_validate_model_class(){if(!this.can_generate){const Z=[ef,ro,nl,rl],xe=$.get(this.constructor),Ne=new Set,De=this.config.model_type;for(const at of Z){const wt=at.get(De);wt&&Ne.add(wt[0])}let nt=`The current model class (${xe}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;throw Ne.size>0&&(nt+=` Please use the following class instead: ${[...Ne].join(", ")}`),Error(nt)}}prepare_inputs_for_generation(...Z){return this._prepare_inputs_for_generation(this,...Z)}_update_model_kwargs_for_generation({generated_input_ids:Z,outputs:xe,model_inputs:Ne,is_encoder_decoder:De}){return Ne.past_key_values=this.getPastKeyValues(xe,Ne.past_key_values),Ne.input_ids=new w.Tensor("int64",Z.flat(),[Z.length,1]),De||(Ne.attention_mask=(0,w.cat)([Ne.attention_mask,(0,w.ones)([Ne.attention_mask.dims[0],1])],1)),Ne.position_ids=null,Ne}_prepare_model_inputs({inputs:Z,bos_token_id:xe,model_kwargs:Ne}){const De=(0,d.pick)(Ne,this.forward_params),nt=this.main_input_name;if(nt in De){if(Z)throw new Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else De[nt]=Z;return{inputs_tensor:De[nt],model_inputs:De,model_input_name:nt}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Z,model_inputs:xe,model_input_name:Ne,generation_config:De}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!xe.inputs_embeds&&"_prepare_inputs_embeds"in this){const{input_ids:at,pixel_values:wt,attention_mask:Mt,...Zt}=xe,Xt=await this._prepare_inputs_embeds(xe);xe={...Zt,...(0,d.pick)(Xt,["inputs_embeds","attention_mask"])}}let{last_hidden_state:nt}=await ve(this,xe);if(De.guidance_scale!==null&&De.guidance_scale>1)nt=(0,w.cat)([nt,(0,w.full_like)(nt,0)],0),"attention_mask"in xe&&(xe.attention_mask=(0,w.cat)([xe.attention_mask,(0,w.zeros_like)(xe.attention_mask)],0));else if(xe.decoder_input_ids){const at=oe(xe.decoder_input_ids).dims[0];if(at!==nt.dims[0]){if(nt.dims[0]!==1)throw new Error(`The encoder outputs have a different batch size (${nt.dims[0]}) than the decoder inputs (${at}).`);nt=(0,w.cat)(Array.from({length:at},()=>nt),0)}}return xe.encoder_outputs=nt,xe}_prepare_decoder_input_ids_for_generation({batch_size:Z,model_input_name:xe,model_kwargs:Ne,decoder_start_token_id:De,bos_token_id:nt,generation_config:at}){let{decoder_input_ids:wt,...Mt}=Ne;if(!(wt instanceof w.Tensor)){if(wt)Array.isArray(wt[0])||(wt=Array.from({length:Z},()=>wt));else if(De??(De=nt),this.config.model_type==="musicgen")wt=Array.from({length:Z*this.config.decoder.num_codebooks},()=>[De]);else if(Array.isArray(De)){if(De.length!==Z)throw new Error(`\`decoder_start_token_id\` expcted to have length ${Z} but got ${De.length}`);wt=De}else wt=Array.from({length:Z},()=>[De]);wt=oe(wt)}return Ne.decoder_attention_mask=(0,w.ones_like)(wt),{input_ids:wt,model_inputs:Mt}}async generate({inputs:Z=null,generation_config:xe=null,logits_processor:Ne=null,stopping_criteria:De=null,streamer:nt=null,...at}){this._validate_model_class(),xe=this._prepare_generation_config(xe,at);let{inputs_tensor:wt,model_inputs:Mt,model_input_name:Zt}=this._prepare_model_inputs({inputs:Z,model_kwargs:at});const Xt=this.config.is_encoder_decoder;Xt&&("encoder_outputs"in Mt||(Mt=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:wt,model_inputs:Mt,model_input_name:Zt,generation_config:xe})));let Vt;Xt?{input_ids:Vt,model_inputs:Mt}=this._prepare_decoder_input_ids_for_generation({batch_size:Mt[Zt].dims.at(0),model_input_name:Zt,model_kwargs:Mt,decoder_start_token_id:xe.decoder_start_token_id,bos_token_id:xe.bos_token_id,generation_config:xe}):Vt=Mt[Zt];let er=Vt.dims.at(-1);xe.max_new_tokens!==null&&(xe.max_length=er+xe.max_new_tokens);const hr=this._get_logits_processor(xe,er,Ne),_r=this._get_stopping_criteria(xe,De),ur=Mt[Zt].dims.at(0),vr=H.LogitsSampler.getSampler(xe),Kr=new Array(ur).fill(0),Ur=Vt.tolist();nt&&nt.put(Ur);let $r,Gr={};for(;;){if(Mt=this.prepare_inputs_for_generation(Ur,Mt,xe),$r=await this.forward(Mt),xe.output_attentions&&xe.return_dict_in_generate){const Vn=this.getAttentions($r);for(const _s in Vn)_s in Gr||(Gr[_s]=[]),Gr[_s].push(Vn[_s])}const En=$r.logits.slice(null,-1,null),os=hr(Ur,En),La=[];for(let Vn=0;Vn<os.dims.at(0);++Vn){const _s=os[Vn],jf=await vr(_s);for(const[no,li]of jf){const so=BigInt(no);Kr[Vn]+=li,Ur[Vn].push(so),La.push([so]);break}}if(nt&&nt.put(La),_r(Ur).every(Vn=>Vn))break;Mt=this._update_model_kwargs_for_generation({generated_input_ids:La,outputs:$r,model_inputs:Mt,is_encoder_decoder:Xt})}nt&&nt.end();const tn=this.getPastKeyValues($r,Mt.past_key_values,!0),Mn=new w.Tensor("int64",Ur.flat(),[Ur.length,Ur[0].length]);if(xe.return_dict_in_generate)return{sequences:Mn,past_key_values:tn,...Gr};for(const En of Object.values($r))En.location==="gpu-buffer"&&En.dispose();return Mn}getPastKeyValues(Z,xe,Ne=!1){const De=Object.create(null);for(const nt in Z)if(nt.startsWith("present")){const at=nt.replace("present","past_key_values"),wt=nt.includes("encoder");if(wt&&xe?De[at]=xe[at]:De[at]=Z[nt],xe&&(!wt||Ne)){const Mt=xe[at];Mt.location==="gpu-buffer"&&Mt.dispose()}}return De}getAttentions(Z){const xe={};for(const Ne of["cross_attentions","encoder_attentions","decoder_attentions"])for(const De in Z)De.startsWith(Ne)&&(Ne in xe||(xe[Ne]=[]),xe[Ne].push(Z[De]));return xe}addPastKeyValues(Z,xe){var Ne,De,nt;if(xe)Object.assign(Z,xe);else{const at=this.sessions.decoder_model_merged??this.sessions.model,wt=((Ne=at==null?void 0:at.config)==null?void 0:Ne.kv_cache_dtype)??"float32",Mt=wt==="float16"?new Uint16Array:[],Zt=((nt=(De=Z[this.main_input_name]??Z.attention_mask)==null?void 0:De.dims)==null?void 0:nt[0])??1,Xt=(0,n.getKeyValueShapes)(this.config,{batch_size:Zt});for(const Vt in Xt)Z[Vt]=new w.Tensor(wt,Mt,Xt[Vt])}}async encode_image({pixel_values:Z}){const xe=(await Te(this.sessions.vision_encoder,{pixel_values:Z})).image_features;return this.config.num_image_tokens||(console.warn(`The number of image tokens was not set in the model configuration. Setting it to the number of features detected by the vision encoder (${xe.dims[1]}).`),this.config.num_image_tokens=xe.dims[1]),xe}async encode_text({input_ids:Z}){return(await Te(this.sessions.embed_tokens,{input_ids:Z})).inputs_embeds}}class He{}class Ve extends He{constructor({last_hidden_state:O,hidden_states:Z=null,attentions:xe=null}){super(),this.last_hidden_state=O,this.hidden_states=Z,this.attentions=xe}}class he extends ae{}class Se extends he{}class Ke extends he{async _call(O){return new vn(await super._call(O))}}class qe extends he{async _call(O){return new ar(await super._call(O))}}class Ge extends he{async _call(O){return new gn(await super._call(O))}}class We extends he{async _call(O){return new Sn(await super._call(O))}}class st extends ae{}class ht extends st{}class mt extends st{async _call(O){return new vn(await super._call(O))}}class ct extends st{async _call(O){return new ar(await super._call(O))}}class gt extends st{async _call(O){return new gn(await super._call(O))}}class W extends ae{}class de extends W{}class J extends ae{}class Ee extends J{}class Fe extends J{async _call(O){return new vn(await super._call(O))}}class Ze extends J{async _call(O){return new ar(await super._call(O))}}class rt extends J{async _call(O){return new gn(await super._call(O))}}class dt extends J{async _call(O){return new Sn(await super._call(O))}}class bt extends ae{}class Ct extends bt{}class Lt extends bt{async _call(O){return new vn(await super._call(O))}}class Nt extends bt{async _call(O){return new ar(await super._call(O))}}class br extends bt{async _call(O){return new gn(await super._call(O))}}class Rr extends bt{async _call(O){return new Sn(await super._call(O))}}class Yr extends ae{}class nn extends Yr{}class $n extends Yr{async _call(O){return new vn(await super._call(O))}}class Es extends Yr{async _call(O){return new ar(await super._call(O))}}class na extends Yr{async _call(O){return new gn(await super._call(O))}}class fn extends Yr{async _call(O){return new Sn(await super._call(O))}}class fs extends ae{}class qt extends fs{}class sa extends fs{async _call(O){return new vn(await super._call(O))}}class Ts extends fs{async _call(O){return new ar(await super._call(O))}}class xs extends fs{async _call(O){return new gn(await super._call(O))}}class aa extends fs{async _call(O){return new Sn(await super._call(O))}}class Kn extends ae{}class ia extends Kn{}class Ms extends Kn{async _call(O){return new vn(await super._call(O))}}class Fs extends Kn{async _call(O){return new ar(await super._call(O))}}class Ns extends Kn{async _call(O){return new gn(await super._call(O))}}class jn extends Kn{async _call(O){return new Sn(await super._call(O))}}class ot extends ae{}class At extends ot{}class Ut extends ot{async _call(O){return new vn(await super._call(O))}}class pn extends ot{async _call(O){return new ar(await super._call(O))}}class Ds extends ot{async _call(O){return new gn(await super._call(O))}}class Ps extends ot{async _call(O){return new Sn(await super._call(O))}}class Dr extends ae{}class zn extends Dr{}class en extends Dr{async _call(O){return new ar(await super._call(O))}}class ps extends Dr{async _call(O){return new gn(await super._call(O))}}class fr extends Dr{async _call(O){return new Sn(await super._call(O))}}class Ma extends Dr{async _call(O){return new vn(await super._call(O))}}class Bs extends ae{}class $i extends Bs{}class Ha extends Bs{async _call(O){return new vn(await super._call(O))}}class Ka extends Bs{async _call(O){return new ar(await super._call(O))}}class qa extends Bs{async _call(O){return new gn(await super._call(O))}}class js extends ae{}class Za extends js{}class Oi extends js{async _call(O){return new vn(await super._call(O))}}class zs extends js{async _call(O){return new ar(await super._call(O))}}class rs extends js{async _call(O){return new Sn(await super._call(O))}}class Un extends ae{}class Pa extends Un{}class oa extends Un{async _call(O){return new vn(await super._call(O))}}class Ca extends Un{async _call(O){return new ar(await super._call(O))}}class Sa extends Un{async _call(O){return new gn(await super._call(O))}}class Aa extends Un{async _call(O){return new Sn(await super._call(O))}}class Wt extends ae{}class ka extends Wt{}class Ya extends Wt{async _call(O){return new vn(await super._call(O))}}class Xa extends Wt{async _call(O){return new ar(await super._call(O))}}class Qa extends Wt{async _call(O){return new Sn(await super._call(O))}}class Us extends ae{}class Ja extends Us{}class Ia extends Us{async _call(O){return new ar(await super._call(O))}}class ei extends Us{async _call(O){return new Sn(await super._call(O))}}class Tr extends Us{async _call(O){return new vn(await super._call(O))}}class Ie extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class N extends Ie{}class ee extends Ie{}class fe extends ae{}class Ae extends fe{}class Oe extends fe{}class Je extends ae{}class _t extends Je{}class Et extends Je{}class yt extends ae{}class St extends yt{}class tr extends yt{}class kr extends yt{async _call(O){return new ar(await super._call(O))}}class Pr extends ae{}class rn extends Pr{}class Gt extends Pr{}class mr extends Pr{async _call(O){return new ar(await super._call(O))}}class On extends Pr{}class mn extends ae{}class ze extends mn{}class xn extends mn{}class Cs extends ae{}class Xr extends Cs{}class yn extends Cs{}class jt extends ae{}class Nn extends jt{}class ns extends jt{async _call(O){return new vn(await super._call(O))}}class Ir extends jt{async _call(O){return new ar(await super._call(O))}}class Qr extends jt{async _call(O){return new gn(await super._call(O))}}class xt extends jt{async _call(O){return new Sn(await super._call(O))}}class sr extends ae{}class sn extends sr{}class Jr extends sr{async _call(O){return new vn(await super._call(O))}}class _n extends sr{async _call(O){return new ar(await super._call(O))}}class Ft extends sr{async _call(O){return new gn(await super._call(O))}}class ua extends sr{async _call(O){return new Sn(await super._call(O))}}class Qe extends ae{}class Dt extends Qe{}class Hl extends Qe{async _call(O){return new vn(await super._call(O))}}class Co extends Qe{async _call(O){return new ar(await super._call(O))}}class Kl extends Qe{async _call(O){return new gn(await super._call(O))}}class ql extends Qe{async _call(O){return new Sn(await super._call(O))}}class or extends ae{}class Zl extends or{}class So extends or{}class Ao extends ae{constructor(){super(...arguments);we(this,"requires_attention_mask",!1);we(this,"main_input_name","input_features");we(this,"forward_params",["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"])}}class Yl extends Ao{}class Xl extends Ao{_prepare_generation_config(O,Z){return super._prepare_generation_config(O,Z,z.WhisperGenerationConfig)}_retrieve_init_tokens(O){const Z=[O.decoder_start_token_id];let xe=O.language;const Ne=O.task;if(O.is_multilingual){xe||(console.warn("No language specified - defaulting to English (en)."),xe="en");const nt=`<|${(0,U.whisper_language_to_code)(xe)}|>`;Z.push(O.lang_to_id[nt]),Z.push(O.task_to_id[Ne??"transcribe"])}else if(xe||Ne)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!O.return_timestamps&&O.no_timestamps_token_id&&Z.at(-1)!==O.no_timestamps_token_id?Z.push(O.no_timestamps_token_id):O.return_timestamps&&Z.at(-1)===O.no_timestamps_token_id&&(console.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),Z.pop()),Z.filter(De=>De!=null)}async generate({inputs:O=null,generation_config:Z=null,logits_processor:xe=null,stopping_criteria:Ne=null,...De}){Z=this._prepare_generation_config(Z,De);const nt=De.decoder_input_ids??this._retrieve_init_tokens(Z);if(Z.return_timestamps&&(xe??(xe=new _.LogitsProcessorList),xe.push(new _.WhisperTimeStampLogitsProcessor(Z,nt))),Z.begin_suppress_tokens&&(xe??(xe=new _.LogitsProcessorList),xe.push(new _.SuppressTokensAtBeginLogitsProcessor(Z.begin_suppress_tokens,nt.length))),Z.return_token_timestamps){if(!Z.alignment_heads)throw new Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");Z.task==="translate"&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),Z.output_attentions=!0,Z.return_dict_in_generate=!0}const at=await super.generate({inputs:O,generation_config:Z,logits_processor:xe,decoder_input_ids:nt,...De});return Z.return_token_timestamps&&(at.token_timestamps=this._extract_token_timestamps(at,Z.alignment_heads,Z.num_frames)),at}_extract_token_timestamps(O,Z,xe=null,Ne=.02){if(!O.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`.");xe==null&&console.warn("`num_frames` has not been set, meaning the entire audio will be analyzed. This may lead to inaccurate token-level timestamps for short audios (< 30 seconds).");let De=this.config.median_filter_width;De===void 0&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),De=7);const nt=O.cross_attentions,at=Array.from({length:this.config.decoder_layers},(_r,ur)=>(0,w.cat)(nt.map(vr=>vr[ur]),2)),wt=(0,w.stack)(Z.map(([_r,ur])=>{if(_r>=at.length)throw new Error(`Layer index ${_r} is out of bounds for cross attentions (length ${at.length}).`);return xe?at[_r].slice(null,ur,null,[0,xe]):at[_r].slice(null,ur)})).transpose(1,0,2,3),[Mt,Zt]=(0,w.std_mean)(wt,-2,0,!0),Xt=wt.clone();for(let _r=0;_r<Xt.dims[0];++_r){const ur=Xt[_r];for(let vr=0;vr<ur.dims[0];++vr){const Kr=ur[vr],Ur=Mt[_r][vr][0].data,$r=Zt[_r][vr][0].data;for(let Gr=0;Gr<Kr.dims[0];++Gr){let tn=Kr[Gr].data;for(let Mn=0;Mn<tn.length;++Mn)tn[Mn]=(tn[Mn]-$r[Mn])/Ur[Mn];tn.set((0,S.medianFilter)(tn,De))}}}const Vt=[(0,w.mean)(Xt,1)],er=O.sequences.dims,hr=new w.Tensor("float32",new Float32Array(er[0]*er[1]),er);for(let _r=0;_r<er[0];++_r){const ur=Vt[_r].neg().squeeze_(0),[vr,Kr]=(0,S.dynamic_time_warping)(ur.tolist()),Ur=Array.from({length:vr.length-1},(tn,Mn)=>vr[Mn+1]-vr[Mn]),$r=(0,d.mergeArrays)([1],Ur).map(tn=>!!tn),Gr=[];for(let tn=0;tn<$r.length;++tn)$r[tn]&&Gr.push(Kr[tn]*Ne);hr[_r].data.set(Gr,1)}return hr}}class ko extends ae{constructor(){super(...arguments);we(this,"requires_attention_mask",!1);we(this,"main_input_name","input_values");we(this,"forward_params",["input_values","decoder_input_ids","past_key_values"])}}class qn extends ko{}class Ql extends ko{}class Io extends ae{constructor(){super(...arguments);we(this,"main_input_name","pixel_values");we(this,"forward_params",["pixel_values","decoder_input_ids","encoder_hidden_states","past_key_values"])}}class Vs extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}}class Li extends Vs{_merge_input_ids_with_image_features({inputs_embeds:O,image_features:Z,input_ids:xe,attention_mask:Ne}){const De=this.config.image_token_index,at=xe.tolist().map(Vt=>Vt.findIndex(er=>er==De)),wt=at.every(Vt=>Vt===-1),Mt=at.every(Vt=>Vt!==-1);if(!wt&&!Mt)throw new Error("Every input should contain either 0 or 1 image token.");if(wt)return{inputs_embeds:O,attention_mask:Ne};const Zt=[],Xt=[];for(let Vt=0;Vt<at.length;++Vt){const er=at[Vt],hr=O[Vt],_r=Z[Vt],ur=Ne[Vt];Zt.push((0,w.cat)([hr.slice([0,er]),_r,hr.slice([er+1,hr.dims[0]])],0)),Xt.push((0,w.cat)([ur.slice([0,er]),(0,w.ones)([_r.dims[0]]),ur.slice([er+1,ur.dims[0]])],0))}return{inputs_embeds:(0,w.stack)(Zt,0),attention_mask:(0,w.stack)(Xt,0)}}}class Jl extends Li{}class ec extends Li{}class tc extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"]);we(this,"main_input_name","inputs_embeds")}}class rc extends tc{_merge_input_ids_with_image_features({inputs_embeds:O,image_features:Z,input_ids:xe,attention_mask:Ne}){return{inputs_embeds:(0,w.cat)([Z,O],1),attention_mask:(0,w.cat)([(0,w.ones)(Z.dims.slice(0,2)),Ne],1)}}async _prepare_inputs_embeds({input_ids:O,pixel_values:Z,inputs_embeds:xe,attention_mask:Ne}){if(!O&&!Z)throw new Error("Either `input_ids` or `pixel_values` should be provided.");let De,nt;return O&&(De=await this.encode_text({input_ids:O})),Z&&(nt=await this.encode_image({pixel_values:Z})),De&&nt?{inputs_embeds:xe,attention_mask:Ne}=this._merge_input_ids_with_image_features({inputs_embeds:De,image_features:nt,input_ids:O,attention_mask:Ne}):xe=De||nt,{inputs_embeds:xe,attention_mask:Ne}}async forward({input_ids:O,pixel_values:Z,attention_mask:xe,decoder_input_ids:Ne,decoder_attention_mask:De,encoder_outputs:nt,past_key_values:at,inputs_embeds:wt,decoder_inputs_embeds:Mt}){if(wt||({inputs_embeds:wt,attention_mask:xe}=await this._prepare_inputs_embeds({input_ids:O,pixel_values:Z,inputs_embeds:wt,attention_mask:xe})),!nt){let{last_hidden_state:Vt}=await ve(this,{inputs_embeds:wt,attention_mask:xe});nt=Vt}if(!Mt){if(!Ne)throw new Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");Mt=await this.encode_text({input_ids:Ne})}return await me(this,{inputs_embeds:Mt,attention_mask:De,encoder_attention_mask:xe,encoder_hidden_states:nt,past_key_values:at},!0)}}class nc extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","attention_mask","pixel_values","position_ids","past_key_values"])}}class sc extends nc{_merge_input_ids_with_image_features(O){const Z=O.image_features.dims.at(-1),xe=O.image_features.view(-1,Z);return Le({image_token_id:this.config.image_token_index,...O,image_features:xe})}}class ac extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"])}}class $o extends ac{async encode_image({pixel_values:O,pixel_attention_mask:Z}){return(await Te(this.sessions.vision_encoder,{pixel_values:O,pixel_attention_mask:Z})).image_features}_merge_input_ids_with_image_features(O){const Z=O.image_features.dims.at(-1),xe=O.image_features.view(-1,Z);return Le({image_token_id:this.config.image_token_id,...O,image_features:xe})}}class ic extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"])}}class Zn extends ic{async forward({input_ids:O=null,attention_mask:Z=null,pixel_values:xe=null,image_sizes:Ne=null,position_ids:De=null,inputs_embeds:nt=null,past_key_values:at=null,generation_config:wt=null,logits_processor:Mt=null,...Zt}){if(!nt){let Vt;if(xe&&O.dims[1]!==1){if(!Ne)throw new Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:Vt}=await Te(this.sessions.vision_encoder,{pixel_values:xe,image_sizes:Ne}))}else{const er=this.config.normalized_config.hidden_size;Vt=new w.Tensor("float32",[],[0,er])}({inputs_embeds:nt}=await Te(this.sessions.prepare_inputs_embeds,{input_ids:O,image_features:Vt}))}return await me(this,{inputs_embeds:nt,past_key_values:at,attention_mask:Z,position_ids:De,generation_config:wt,logits_processor:Mt},!1)}}class la extends ae{}class oc extends la{}class Bp extends la{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"text_model"})}}class uc extends la{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"text_model"})}}class jp extends la{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"vision_model"})}}class lc extends la{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"vision_model"})}}class Oo extends ae{}class cc extends Oo{}class dc extends Oo{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"text_model"})}}class hc extends la{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"vision_model"})}}class zp extends ae{}class ss extends zp{}class Ri extends ae{}class Fi extends Ri{async forward(O){const Z=!O.input_ids,xe=!O.pixel_values;if(Z&&xe)throw new Error("Either `input_ids` or `pixel_values` should be provided.");if(Z&&(O.input_ids=(0,w.ones)([O.pixel_values.dims[0],1])),xe){const{image_size:Mt}=this.config.vision_config;O.pixel_values=(0,w.full)([0,3,Mt,Mt],0)}const{text_embeddings:Ne,image_embeddings:De,l2norm_text_embeddings:nt,l2norm_image_embeddings:at}=await super.forward(O),wt={};return Z||(wt.text_embeddings=Ne,wt.l2norm_text_embeddings=nt),xe||(wt.image_embeddings=De,wt.l2norm_image_embeddings=at),wt}}class Lo extends Ri{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"text_model"})}}class as extends Ri{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"vision_model"})}}class Ro extends ae{}class fc extends Ro{}class pc extends Ro{}class Fo extends ae{}class mc extends Fo{}class _c extends Fo{}class No extends ae{}class gc extends No{}class bc extends No{}class Do extends ae{}class is extends Do{}class yc extends Do{}class Bo extends ae{}class wc extends Bo{}class vc extends Bo{}class jo extends ae{}class Ec extends jo{}class Tc extends jo{}class zo extends ae{}class xc extends zo{}class Mc extends zo{}class Ni extends ae{}class Uo extends Ni{}class Pc extends Ni{}class Vo extends ae{}class Wo extends Vo{}class Up extends Vo{}class Go extends ae{}class Di extends Go{}class Cc extends Go{}class Ho extends ae{}class Sc extends Ho{}class ti extends Ho{}class Ko extends ae{}class Ac extends Ko{}class qo extends Ko{}class Zo extends ae{}class kc extends Zo{}class Ic extends Zo{}class Yo extends ae{}class Vp extends Yo{}class $c extends Yo{}class Xo extends ae{}class Oc extends Xo{}class Wp extends Xo{}class Qo extends ae{}class Cr extends Qo{}class Lc extends Qo{}class Jo extends ae{}class Rc extends Jo{}class Fc extends Jo{}class eu extends ae{}class Nc extends eu{}class Dc extends eu{}class tu extends ae{}class Bc extends tu{}class jc extends tu{}class zc extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"])}}class Uc extends zc{get_rope_index(O,Z,xe,Ne){const{vision_config:De,image_token_id:nt,video_token_id:at,vision_start_token_id:wt}=this.config,Mt=De.spatial_merge_size??2,Zt=[];if(Z||xe){let Xt=O.tolist();Ne||(Ne=(0,w.ones_like)(O));const Vt=Ne.tolist(),er=Array.from({length:3},Kr=>Array.from({length:O.dims[0]},Ur=>Array.from({length:O.dims[1]},$r=>1))),hr=Z?Z.tolist():[],_r=xe?xe.tolist():[];let ur=0,vr=0;for(let Kr=0;Kr<Xt.length;++Kr){const Ur=Xt[Kr].filter((Vr,an)=>Vt[Kr][an]==1),Gr=Ur.reduce((Vr,an,ks)=>(an==wt&&Vr.push(ks),Vr),[]).map(Vr=>Ur[Vr+1]),tn=Gr.filter(Vr=>Vr==nt).length,Mn=Gr.filter(Vr=>Vr==at).length;let En=[],os=0,La=tn,hl=Mn;for(let Vr=0;Vr<Gr.length;++Vr){const an=Ur.findIndex((ma,Wn)=>Wn>os&&ma==nt),ks=Ur.findIndex((ma,Wn)=>Wn>os&&ma==at),fa=La>0&&an!==-1?an:Ur.length+1,Ra=hl>0&&ks!==-1?ks:Ur.length+1;let fl,ao,pl,ml;fa<Ra?([ao,pl,ml]=hr[ur],++ur,--La,fl=fa):([ao,pl,ml]=_r[vr],++vr,--hl,fl=Ra);const[G_,_l,Fa]=[Number(ao),Math.floor(Number(pl)/Mt),Math.floor(Number(ml)/Mt)],gl=fl-os,zf=En.length>0?(0,S.max)(En.at(-1))[0]+1:0;En.push(Array.from({length:3*gl},(ma,Wn)=>zf+Wn%gl));const Uf=gl+zf,io=G_*_l*Fa,Vf=Array.from({length:io},(ma,Wn)=>Uf+Math.floor(Wn/(_l*Fa))),Wf=Array.from({length:io},(ma,Wn)=>Uf+Math.floor(Wn/Fa)%_l),pa=Array.from({length:io},(ma,Wn)=>Uf+Wn%Fa);En.push([Vf,Wf,pa].flat()),os=fl+io}if(os<Ur.length){const Vr=En.length>0?(0,S.max)(En.at(-1))[0]+1:0,an=Ur.length-os;En.push(Array.from({length:3*an},(ks,fa)=>Vr+fa%an))}const Vn=En.reduce((Vr,an)=>Vr+an.length,0),_s=new Array(Vn);let jf=0;for(let Vr=0;Vr<3;++Vr)for(let an=0;an<En.length;++an){const ks=En[an],fa=ks.length/3;for(let Ra=Vr*fa;Ra<(Vr+1)*fa;++Ra)_s[jf++]=ks[Ra]}let no=0;const li=Vt[Kr];for(let Vr=0;Vr<li.length;++Vr)if(li[Vr]==1){for(let an=0;an<3;++an)er[an][Kr][Vr]=_s[an*Vn/3+no];++no}const so=(0,S.max)(_s)[0];Zt.push(so+1-Xt[Kr].length)}return[new w.Tensor("int64",er.flat(1/0),[3,O.dims[0],O.dims[1]]),new w.Tensor("int64",Zt,[Zt.length,1])]}else if(Ne){const{data:Xt,dims:Vt}=pe(Ne),er=BigInt64Array.from({length:3*Xt.length},(_r,ur)=>Xt[ur%Xt.length]),hr=Array.from({length:Vt[0]},(_r,ur)=>(0,S.max)(Xt.subarray(Vt[1]*ur,Vt[1]*(ur+1)))[0]+1n+BigInt(Vt[1]));return[new w.Tensor("int64",er,[3,...Vt]),new w.Tensor("int64",hr,[hr.length,1])]}else{const[Xt,Vt]=O.dims,er=BigInt64Array.from({length:3*Xt*Vt},(hr,_r)=>BigInt(Math.floor(_r%Vt/Xt)));return[new w.Tensor("int64",er,[3,...O.dims]),(0,w.zeros)([Xt,1])]}}async encode_image({pixel_values:O,image_grid_thw:Z}){return(await Te(this.sessions.vision_encoder,{pixel_values:O,grid_thw:Z})).image_features}_merge_input_ids_with_image_features(O){return Le({image_token_id:this.config.image_token_id,...O})}prepare_inputs_for_generation(O,Z,xe){if(Z.attention_mask&&!Z.position_ids)if(!Z.past_key_values)[Z.position_ids,Z.rope_deltas]=this.get_rope_index(Z.input_ids,Z.image_grid_thw,Z.video_grid_thw,Z.attention_mask);else{Z.pixel_values=null;const Ne=BigInt(Object.values(Z.past_key_values)[0].dims.at(-2)),De=Z.rope_deltas.map(nt=>Ne+nt);Z.position_ids=(0,w.stack)([De,De,De],0)}return Z}}class ru extends ae{}class Vc extends ru{}class ri extends ru{}class nu extends ae{}class Bi extends nu{}class Wc extends nu{}class su extends ae{}class Gc extends su{}class Hc extends su{}class au extends ae{}class Kc extends au{}class qc extends au{}class iu extends ae{}class Zc extends iu{}class Yc extends iu{}class ou extends ae{}class Xc extends ou{}class Qc extends ou{async _call(O){return new ar(await super._call(O))}}class uu extends ae{}class Jc extends uu{}class ed extends uu{async _call(O){return new ar(await super._call(O))}}class lu extends ae{}class td extends lu{}class ji extends ae{}class cu extends ji{}class rd extends ji{async _call(O){return new ar(await super._call(O))}}class nd extends ae{}class sd extends nd{}class du extends ae{}class ad extends du{}class id extends du{async _call(O){return new ar(await super._call(O))}}class hu extends ae{}class od extends hu{}class fu extends ae{}class ud extends fu{}class Gp extends fu{async _call(O){return new ar(await super._call(O))}}class ld extends ae{}class cd extends ld{async _call(O){return new ui(await super._call(O))}}class Yn extends ae{}class dd extends Yn{}class hd extends Yn{async _call(O){return new ar(await super._call(O))}}class pu extends ae{}class fd extends pu{}class pd extends pu{async _call(O){return new ar(await super._call(O))}}class mu extends ae{}class md extends mu{}class _d extends mu{}class _u extends ae{}class gd extends _u{}class Hp extends _u{}class gu extends ae{}class bd extends gu{}class yd extends gu{async _call(O){return new ar(await super._call(O))}}class zi extends ae{}class wd extends zi{}class vd extends zi{async _call(O){return new Ws(await super._call(O))}}class Ed extends zi{async _call(O){return new ca(await super._call(O))}}class Ws extends He{constructor({logits:O,pred_boxes:Z}){super(),this.logits=O,this.pred_boxes=Z}}class ca extends He{constructor({logits:O,pred_boxes:Z,pred_masks:xe}){super(),this.logits=O,this.pred_boxes=Z,this.pred_masks=xe}}class Gs extends ae{}class bu extends Gs{}class da extends Gs{async _call(O){return new wn(await super._call(O))}}class wn extends He{constructor({logits:O,pred_boxes:Z}){super(),this.logits=O,this.pred_boxes=Z}}class yu extends ae{}class wu extends yu{}class Td extends yu{async _call(O){return new Kp(await super._call(O))}}class Kp extends Ws{}class $a extends ae{}class vu extends $a{}class Eu extends $a{async _call(O){return new ar(await super._call(O))}}class Tu extends ae{}class xd extends Tu{}class xu extends Tu{async _call(O){return new ar(await super._call(O))}}class Ui extends ae{}class Md extends Ui{}class Mu extends Ui{async _call(O){return new ar(await super._call(O))}}class Pu extends ae{}class Vi extends Pu{}class Cu extends Pu{async _call(O){return new ar(await super._call(O))}}class Su extends ae{}class Pd extends Su{}class qp extends Su{}class Au extends ae{}class ku extends Au{}class ni extends Au{}class Cd extends ae{}class Iu extends Cd{}class Wi extends ae{}class Sd extends Wi{}class Ad extends Wi{}class Zp extends Wi{}class kd extends ae{}class Id extends kd{}class $d extends ae{}class Od extends $d{}class Gi extends $d{}class $u extends ae{}class Hi extends $u{}class Ou extends $u{}class Lu extends ae{}class Ld extends Lu{}class Ru extends ae{}class Fu extends Ru{}class Yp extends Ru{async _call(O){return new ar(await super._call(O))}}class Nu extends ae{}class Xp extends Nu{}class Rd extends Nu{async _call(O){return new ar(await super._call(O))}}class Du extends ae{}class Fd extends Du{}class Bu extends Du{async _call(O){return new ar(await super._call(O))}}class ju extends ae{}class Nd extends ju{}class zu extends ju{async _call(O){return new ar(await super._call(O))}}class Dd extends ae{}class Bd extends Dd{}class jd extends ae{}class zd extends jd{}class Ud extends jd{async _call(O){return new Vd(await super._call(O))}}class Vd extends He{constructor({logits:O,pred_boxes:Z}){super(),this.logits=O,this.pred_boxes=Z}}class Qp extends ae{}class Wd extends Qp{async get_image_embeddings({pixel_values:O}){return await ve(this,{pixel_values:O})}async forward(O){if((!O.image_embeddings||!O.image_positional_embeddings)&&(O={...O,...await this.get_image_embeddings(O)}),!O.input_labels&&O.input_points){const xe=O.input_points.dims.slice(0,-1),Ne=xe.reduce((De,nt)=>De*nt,1);O.input_labels=new w.Tensor("int64",new BigInt64Array(Ne).fill(1n),xe)}const Z={image_embeddings:O.image_embeddings,image_positional_embeddings:O.image_positional_embeddings};return O.input_points&&(Z.input_points=O.input_points),O.input_labels&&(Z.input_labels=O.input_labels),O.input_boxes&&(Z.input_boxes=O.input_boxes),await Te(this.sessions.prompt_encoder_mask_decoder,Z)}async _call(O){return new Gd(await super._call(O))}}class Gd extends He{constructor({iou_scores:O,pred_masks:Z}){super(),this.iou_scores=O,this.pred_masks=Z}}class Uu extends ae{}class Hd extends Uu{}class Kd extends Uu{}class qd extends ae{}class Ki extends qd{}class si extends qd{}class Ss extends ae{}class Zd extends Ss{}class Yd extends Ss{async _call(O){return new Oa(await super._call(O))}}class Xd extends Ss{async _call(O){return new ar(await super._call(O))}}class Qd extends Ss{async _call(O){return new gn(await super._call(O))}}class qi extends ae{}class Jd extends qi{}class eh extends qi{async _call(O){return new gn(await super._call(O))}}class th extends ae{}class Jp extends th{}class Zi extends ae{}class Vu extends Zi{}class rh extends Zi{async _call(O){return new Oa(await super._call(O))}}class nh extends Zi{async _call(O){return new ar(await super._call(O))}}class ai extends ae{}class em extends ai{}class sh extends ai{async _call(O){return new Oa(await super._call(O))}}class ah extends ai{async _call(O){return new ar(await super._call(O))}}class tm extends ai{async _call(O){return new gn(await super._call(O))}}class Yi extends ae{}class ih extends Yi{}class oh extends Yi{async _call(O){return new Oa(await super._call(O))}}class uh extends Yi{async _call(O){return new ar(await super._call(O))}}class W_ extends ae{}class lh extends Ss{}class ch extends Ss{async _call(O){return new Oa(await super._call(O))}}class dh extends Ss{async _call(O){return new ar(await super._call(O))}}class ii extends ae{}class hh extends ii{}class fh extends ii{async _call(O){return new Oa(await super._call(O))}}class ph extends ii{async _call(O){return new ar(await super._call(O))}}class mh extends ii{async _call(O){return new Em(await super._call(O))}}class rm extends ii{async _call(O){return new gn(await super._call(O))}}class _h extends ae{}class gh extends _h{}class Xi extends ae{}class nm extends Xi{}class sm extends Xi{}class bh extends Xi{async generate_speech(O,Z,{threshold:xe=.5,minlenratio:Ne=0,maxlenratio:De=20,vocoder:nt=null}={}){const at={input_ids:O},{encoder_outputs:wt,encoder_attention_mask:Mt}=await ve(this,at),Zt=wt.dims[1]/this.config.reduction_factor,Xt=Math.floor(Zt*De),Vt=Math.floor(Zt*Ne),er=this.config.num_mel_bins;let hr=[],_r=null,ur=null,vr=0;for(;;){++vr;const $r=re(!!ur);let Gr;ur?Gr=ur.output_sequence_out:Gr=new w.Tensor("float32",new Float32Array(er),[1,1,er]);let tn={use_cache_branch:$r,output_sequence:Gr,encoder_attention_mask:Mt,speaker_embeddings:Z,encoder_hidden_states:wt};this.addPastKeyValues(tn,_r),ur=await Te(this.sessions.decoder_model_merged,tn),_r=this.getPastKeyValues(ur,_r);const{prob:Mn,spectrum:En}=ur;if(hr.push(En),vr>=Vt&&(Array.from(Mn.data).filter(os=>os>=xe).length>0||vr>=Xt))break}const Kr=(0,w.cat)(hr),{waveform:Ur}=await Te(nt.sessions.model,{spectrogram:Kr});return{spectrogram:Kr,waveform:Ur}}}class yh extends ae{constructor(){super(...arguments);we(this,"main_input_name","spectrogram")}}class wh extends ae{}class vh extends wh{}class Eh extends ae{}class ms extends Eh{}class As extends Eh{}class Hs extends ae{}class ha extends Hs{}class Th extends Hs{}class Wu extends ae{}class xh extends Wu{}class Mh extends Wu{}class Qi extends ae{}class Ph extends Qi{}class Ch extends Qi{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"text_model"})}}class Sh extends Qi{static async from_pretrained(O,Z={}){return super.from_pretrained(O,{...Z,model_file_name:Z.model_file_name??"audio_model"})}}class Ah extends ae{}class Gu extends Ah{async _call(O){return new Bf(await super._call(O))}}class Hu extends ae{}class Dn extends Hu{}class kh extends Hu{}class Ih extends Hu{}class Ji extends ae{}class $h extends Ji{}class oi extends Ji{}class Ku extends ae{}class Oh extends Ku{}class Lh extends Ku{async _call(O){return new ar(await super._call(O))}}class qu extends ae{}class am extends qu{}class im extends qu{}class eo extends ae{constructor(){super(...arguments);we(this,"forward_params",["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"])}_apply_and_filter_by_delay_pattern_mask(Z){const[xe,Ne]=Z.dims,De=this.config.decoder.num_codebooks,nt=Ne-De;let at=0;for(let Zt=0;Zt<Z.size;++Zt){if(Z.data[Zt]===this.config.decoder.pad_token_id)continue;const Xt=Zt%Ne,Vt=Math.floor(Zt/Ne)%De,er=Xt-Vt;er>0&&er<=nt&&(Z.data[at++]=Z.data[Zt])}const wt=Math.floor(xe/De),Mt=at/(wt*De);return new w.Tensor(Z.type,Z.data.slice(0,at),[wt,De,Mt])}prepare_inputs_for_generation(Z,xe,Ne){let De=structuredClone(Z);for(let at=0;at<De.length;++at)for(let wt=0;wt<De[at].length;++wt)at%this.config.decoder.num_codebooks>=wt&&(De[at][wt]=BigInt(this.config.decoder.pad_token_id));return Ne.guidance_scale!==null&&Ne.guidance_scale>1&&(De=De.concat(De)),super.prepare_inputs_for_generation(De,xe,Ne)}async generate(Z){const xe=await super.generate(Z),Ne=this._apply_and_filter_by_delay_pattern_mask(xe).unsqueeze_(0),{audio_values:De}=await Te(this.sessions.encodec_decode,{audio_codes:Ne});return De}}class Zu extends ae{}class Rh extends Zu{}class Fh extends Zu{async _call(O){return new ar(await super._call(O))}}class Yu extends ae{}class Nh extends Yu{}class Xu extends Yu{async _call(O){return new ar(await super._call(O))}}class Qu extends ae{}class om extends Qu{}class Ju extends Qu{async _call(O){return new ar(await super._call(O))}}class el extends ae{}class Dh extends el{}class Bh extends el{async _call(O){return new ar(await super._call(O))}}class um extends ae{}class jh extends um{}class zh extends ae{}class Uh extends zh{constructor(...Z){super(...Z);we(this,"forward_params",["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"]);this._generation_mode="text"}async forward(Z){const xe=this._generation_mode??"text";let Ne;if(xe==="text"||!Z.past_key_values){const Mt=this.sessions.prepare_inputs_embeds,Zt=(0,d.pick)(Z,Mt.inputNames);Ne=await Te(Mt,Zt)}else{const Mt=this.sessions.gen_img_embeds,Zt=(0,d.pick)({image_ids:Z.input_ids},Mt.inputNames);Ne=await Te(Mt,Zt)}const De={...Z,...Ne},nt=await me(this,De),at=this.sessions[xe==="text"?"lm_head":"gen_head"];if(!at)throw new Error(`Unable to find "${at}" generation head`);const wt=await Te(at,(0,d.pick)(nt,at.inputNames));return{...Ne,...nt,...wt}}async generate(Z){return this._generation_mode="text",super.generate(Z)}async generate_images(Z){this._generation_mode="image";const xe=(Z.inputs??Z[this.main_input_name]).dims[1],De=(await super.generate(Z)).slice(null,[xe,null]),nt=this.sessions.image_decode,{decoded_image:at}=await Te(nt,{generated_tokens:De}),wt=at.add_(1).mul_(255/2).clamp_(0,255).to("uint8"),Mt=[];for(const Zt of wt){const Xt=M.RawImage.fromTensor(Zt);Mt.push(Xt)}return Mt}}class lm extends He{constructor({char_logits:O,bpe_logits:Z,wp_logits:xe}){super(),this.char_logits=O,this.bpe_logits=Z,this.wp_logits=xe}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}}class Vh extends ae{}class Wh extends Vh{async _call(O){return new lm(await super._call(O))}}class Gh extends ae{}class Hh extends Gh{}class Kh extends Gh{}class tl extends ae{}class qh extends tl{}class Zh extends tl{}class Fr{static async from_pretrained(O,{progress_callback:Z=null,config:xe=null,cache_dir:Ne=null,local_files_only:De=!1,revision:nt="main",model_file_name:at=null,subfolder:wt="onnx",device:Mt=null,dtype:Zt=null,use_external_data_format:Xt=null,session_options:Vt={}}={}){const er={progress_callback:Z,config:xe,cache_dir:Ne,local_files_only:De,revision:nt,model_file_name:at,subfolder:wt,device:Mt,dtype:Zt,use_external_data_format:Xt,session_options:Vt};if(er.config=await n.AutoConfig.from_pretrained(O,er),!this.MODEL_CLASS_MAPPINGS)throw new Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);for(const hr of this.MODEL_CLASS_MAPPINGS){const _r=hr.get(er.config.model_type);if(_r)return await _r[1].from_pretrained(O,er)}if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${er.config.model_type}", attempting to construct from base class.`),await ae.from_pretrained(O,er);throw Error(`Unsupported model type: ${er.config.model_type}`)}}we(Fr,"MODEL_CLASS_MAPPINGS",null),we(Fr,"BASE_IF_FAIL",!1);const cm=new Map([["bert",["BertModel",Se]],["modernbert",["ModernBertModel",ht]],["nomic_bert",["NomicBertModel",de]],["roformer",["RoFormerModel",Ee]],["electra",["ElectraModel",nn]],["esm",["EsmModel",$i]],["convbert",["ConvBertModel",Ct]],["camembert",["CamembertModel",qt]],["deberta",["DebertaModel",ia]],["deberta-v2",["DebertaV2Model",At]],["mpnet",["MPNetModel",Pa]],["albert",["AlbertModel",Ja]],["distilbert",["DistilBertModel",zn]],["roberta",["RobertaModel",Nn]],["xlm",["XLMModel",sn]],["xlm-roberta",["XLMRobertaModel",Dt]],["clap",["ClapModel",Ph]],["clip",["CLIPModel",oc]],["clipseg",["CLIPSegModel",fc]],["chinese_clip",["ChineseCLIPModel",ss]],["siglip",["SiglipModel",cc]],["jina_clip",["JinaCLIPModel",Fi]],["mobilebert",["MobileBertModel",Za]],["squeezebert",["SqueezeBertModel",ka]],["wav2vec2",["Wav2Vec2Model",Zd]],["wav2vec2-bert",["Wav2Vec2BertModel",ih]],["unispeech",["UniSpeechModel",Vu]],["unispeech-sat",["UniSpeechSatModel",em]],["hubert",["HubertModel",lh]],["wavlm",["WavLMModel",hh]],["audio-spectrogram-transformer",["ASTModel",Zl]],["vits",["VitsModel",Gu]],["pyannote",["PyAnnoteModel",Jd]],["wespeaker-resnet",["WeSpeakerResNetModel",Jp]],["detr",["DetrModel",wd]],["rt_detr",["RTDetrModel",bu]],["table-transformer",["TableTransformerModel",wu]],["vit",["ViTModel",Xc]],["ijepa",["IJepaModel",Jc]],["pvt",["PvtModel",cu]],["vit_msn",["ViTMSNModel",ad]],["vit_mae",["ViTMAEModel",sd]],["groupvit",["GroupViTModel",od]],["fastvit",["FastViTModel",ud]],["mobilevit",["MobileViTModel",dd]],["mobilevitv2",["MobileViTV2Model",fd]],["owlvit",["OwlViTModel",md]],["owlv2",["Owlv2Model",gd]],["beit",["BeitModel",bd]],["deit",["DeiTModel",vu]],["hiera",["HieraModel",xd]],["convnext",["ConvNextModel",Fu]],["convnextv2",["ConvNextV2Model",Xp]],["dinov2",["Dinov2Model",Fd]],["dinov2_with_registers",["Dinov2WithRegistersModel",Nd]],["resnet",["ResNetModel",Md]],["swin",["SwinModel",Vi]],["swin2sr",["Swin2SRModel",Pd]],["donut-swin",["DonutSwinModel",Ld]],["yolos",["YolosModel",zd]],["dpt",["DPTModel",ku]],["glpn",["GLPNModel",Hi]],["hifigan",["SpeechT5HifiGan",yh]],["efficientnet",["EfficientNetModel",Oh]],["decision_transformer",["DecisionTransformerModel",jh]],["patchtst",["PatchTSTForPrediction",Hh]],["patchtsmixer",["PatchTSMixerForPrediction",qh]],["mobilenet_v1",["MobileNetV1Model",Rh]],["mobilenet_v2",["MobileNetV2Model",Nh]],["mobilenet_v3",["MobileNetV3Model",om]],["mobilenet_v4",["MobileNetV4Model",Dh]],["maskformer",["MaskFormerModel",Od]],["mgp-str",["MgpstrForSceneTextRecognition",Wh]],["style_text_to_speech_2",["StyleTextToSpeech2Model",gh]]]),dm=new Map([["t5",["T5Model",N]],["longt5",["LongT5Model",Ae]],["mt5",["MT5Model",_t]],["bart",["BartModel",St]],["mbart",["MBartModel",rn]],["marian",["MarianModel",Hd]],["whisper",["WhisperModel",Yl]],["m2m_100",["M2M100Model",Ki]],["blenderbot",["BlenderbotModel",ze]],["blenderbot-small",["BlenderbotSmallModel",Xr]]]),hm=new Map([["bloom",["BloomModel",Gc]],["jais",["JAISModel",gc]],["gpt2",["GPT2Model",mc]],["gptj",["GPTJModel",Ec]],["gpt_bigcode",["GPTBigCodeModel",xc]],["gpt_neo",["GPTNeoModel",is]],["gpt_neox",["GPTNeoXModel",wc]],["codegen",["CodeGenModel",Uo]],["llama",["LlamaModel",Wo]],["exaone",["ExaoneModel",Di]],["olmo",["OlmoModel",Ac]],["olmo2",["Olmo2Model",kc]],["mobilellm",["MobileLLMModel",Sc]],["granite",["GraniteModel",Vp]],["cohere",["CohereModel",Oc]],["gemma",["GemmaModel",Cr]],["gemma2",["Gemma2Model",Rc]],["openelm",["OpenELMModel",Nc]],["qwen2",["Qwen2Model",Bc]],["phi",["PhiModel",Vc]],["phi3",["Phi3Model",Bi]],["mpt",["MptModel",Kc]],["opt",["OPTModel",Zc]],["mistral",["MistralModel",ms]],["starcoder2",["Starcoder2Model",ha]],["falcon",["FalconModel",xh]],["stablelm",["StableLmModel",$h]]]),rl=new Map([["speecht5",["SpeechT5ForSpeechToText",sm]],["whisper",["WhisperForConditionalGeneration",Xl]],["moonshine",["MoonshineForConditionalGeneration",Ql]]]),Yh=new Map([["speecht5",["SpeechT5ForTextToSpeech",bh]]]),Xh=new Map([["vits",["VitsModel",Gu]],["musicgen",["MusicgenForConditionalGeneration",eo]]]),Qh=new Map([["bert",["BertForSequenceClassification",qe]],["modernbert",["ModernBertForSequenceClassification",ct]],["roformer",["RoFormerForSequenceClassification",Ze]],["electra",["ElectraForSequenceClassification",Es]],["esm",["EsmForSequenceClassification",Ka]],["convbert",["ConvBertForSequenceClassification",Nt]],["camembert",["CamembertForSequenceClassification",Ts]],["deberta",["DebertaForSequenceClassification",Fs]],["deberta-v2",["DebertaV2ForSequenceClassification",pn]],["mpnet",["MPNetForSequenceClassification",Ca]],["albert",["AlbertForSequenceClassification",Ia]],["distilbert",["DistilBertForSequenceClassification",en]],["roberta",["RobertaForSequenceClassification",Ir]],["xlm",["XLMForSequenceClassification",_n]],["xlm-roberta",["XLMRobertaForSequenceClassification",Co]],["bart",["BartForSequenceClassification",kr]],["mbart",["MBartForSequenceClassification",mr]],["mobilebert",["MobileBertForSequenceClassification",zs]],["squeezebert",["SqueezeBertForSequenceClassification",Xa]]]),Jh=new Map([["bert",["BertForTokenClassification",Ge]],["modernbert",["ModernBertForTokenClassification",gt]],["roformer",["RoFormerForTokenClassification",rt]],["electra",["ElectraForTokenClassification",na]],["esm",["EsmForTokenClassification",qa]],["convbert",["ConvBertForTokenClassification",br]],["camembert",["CamembertForTokenClassification",xs]],["deberta",["DebertaForTokenClassification",Ns]],["deberta-v2",["DebertaV2ForTokenClassification",Ds]],["mpnet",["MPNetForTokenClassification",Sa]],["distilbert",["DistilBertForTokenClassification",ps]],["roberta",["RobertaForTokenClassification",Qr]],["xlm",["XLMForTokenClassification",Ft]],["xlm-roberta",["XLMRobertaForTokenClassification",Kl]]]),nl=new Map([["t5",["T5ForConditionalGeneration",ee]],["longt5",["LongT5ForConditionalGeneration",Oe]],["mt5",["MT5ForConditionalGeneration",Et]],["bart",["BartForConditionalGeneration",tr]],["mbart",["MBartForConditionalGeneration",Gt]],["marian",["MarianMTModel",Kd]],["m2m_100",["M2M100ForConditionalGeneration",si]],["blenderbot",["BlenderbotForConditionalGeneration",xn]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",yn]]]),ef=new Map([["bloom",["BloomForCausalLM",Hc]],["gpt2",["GPT2LMHeadModel",_c]],["jais",["JAISLMHeadModel",bc]],["gptj",["GPTJForCausalLM",Tc]],["gpt_bigcode",["GPTBigCodeForCausalLM",Mc]],["gpt_neo",["GPTNeoForCausalLM",yc]],["gpt_neox",["GPTNeoXForCausalLM",vc]],["codegen",["CodeGenForCausalLM",Pc]],["llama",["LlamaForCausalLM",Up]],["exaone",["ExaoneForCausalLM",Cc]],["olmo",["OlmoForCausalLM",qo]],["olmo2",["Olmo2ForCausalLM",Ic]],["mobilellm",["MobileLLMForCausalLM",ti]],["granite",["GraniteForCausalLM",$c]],["cohere",["CohereForCausalLM",Wp]],["gemma",["GemmaForCausalLM",Lc]],["gemma2",["Gemma2ForCausalLM",Fc]],["openelm",["OpenELMForCausalLM",Dc]],["qwen2",["Qwen2ForCausalLM",jc]],["phi",["PhiForCausalLM",ri]],["phi3",["Phi3ForCausalLM",Wc]],["mpt",["MptForCausalLM",qc]],["opt",["OPTForCausalLM",Yc]],["mbart",["MBartForCausalLM",On]],["mistral",["MistralForCausalLM",As]],["starcoder2",["Starcoder2ForCausalLM",Th]],["falcon",["FalconForCausalLM",Mh]],["trocr",["TrOCRForCausalLM",vh]],["stablelm",["StableLmForCausalLM",oi]],["phi3_v",["Phi3VForCausalLM",Zn]]]),to=new Map([["multi_modality",["MultiModalityCausalLM",Uh]]]),sl=new Map([["bert",["BertForMaskedLM",Ke]],["modernbert",["ModernBertForMaskedLM",mt]],["roformer",["RoFormerForMaskedLM",Fe]],["electra",["ElectraForMaskedLM",$n]],["esm",["EsmForMaskedLM",Ha]],["convbert",["ConvBertForMaskedLM",Lt]],["camembert",["CamembertForMaskedLM",sa]],["deberta",["DebertaForMaskedLM",Ms]],["deberta-v2",["DebertaV2ForMaskedLM",Ut]],["mpnet",["MPNetForMaskedLM",oa]],["albert",["AlbertForMaskedLM",Tr]],["distilbert",["DistilBertForMaskedLM",Ma]],["roberta",["RobertaForMaskedLM",ns]],["xlm",["XLMWithLMHeadModel",Jr]],["xlm-roberta",["XLMRobertaForMaskedLM",Hl]],["mobilebert",["MobileBertForMaskedLM",Oi]],["squeezebert",["SqueezeBertForMaskedLM",Ya]]]),al=new Map([["bert",["BertForQuestionAnswering",We]],["roformer",["RoFormerForQuestionAnswering",dt]],["electra",["ElectraForQuestionAnswering",fn]],["convbert",["ConvBertForQuestionAnswering",Rr]],["camembert",["CamembertForQuestionAnswering",aa]],["deberta",["DebertaForQuestionAnswering",jn]],["deberta-v2",["DebertaV2ForQuestionAnswering",Ps]],["mpnet",["MPNetForQuestionAnswering",Aa]],["albert",["AlbertForQuestionAnswering",ei]],["distilbert",["DistilBertForQuestionAnswering",fr]],["roberta",["RobertaForQuestionAnswering",xt]],["xlm",["XLMForQuestionAnswering",ua]],["xlm-roberta",["XLMRobertaForQuestionAnswering",ql]],["mobilebert",["MobileBertForQuestionAnswering",rs]],["squeezebert",["SqueezeBertForQuestionAnswering",Qa]]]),ro=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Io]],["idefics3",["Idefics3ForConditionalGeneration",$o]]]),tf=new Map([["llava",["LlavaForConditionalGeneration",Li]],["llava_onevision",["LlavaOnevisionForConditionalGeneration",Jl]],["moondream1",["Moondream1ForConditionalGeneration",ec]],["florence2",["Florence2ForConditionalGeneration",rc]],["qwen2-vl",["Qwen2VLForConditionalGeneration",Uc]],["idefics3",["Idefics3ForConditionalGeneration",$o]],["paligemma",["PaliGemmaForConditionalGeneration",sc]]]),fm=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",Io]]]),rf=new Map([["vit",["ViTForImageClassification",Qc]],["ijepa",["IJepaForImageClassification",ed]],["pvt",["PvtForImageClassification",rd]],["vit_msn",["ViTMSNForImageClassification",id]],["fastvit",["FastViTForImageClassification",Gp]],["mobilevit",["MobileViTForImageClassification",hd]],["mobilevitv2",["MobileViTV2ForImageClassification",pd]],["beit",["BeitForImageClassification",yd]],["deit",["DeiTForImageClassification",Eu]],["hiera",["HieraForImageClassification",xu]],["convnext",["ConvNextForImageClassification",Yp]],["convnextv2",["ConvNextV2ForImageClassification",Rd]],["dinov2",["Dinov2ForImageClassification",Bu]],["dinov2_with_registers",["Dinov2WithRegistersForImageClassification",zu]],["resnet",["ResNetForImageClassification",Mu]],["swin",["SwinForImageClassification",Cu]],["segformer",["SegformerForImageClassification",kh]],["efficientnet",["EfficientNetForImageClassification",Lh]],["mobilenet_v1",["MobileNetV1ForImageClassification",Fh]],["mobilenet_v2",["MobileNetV2ForImageClassification",Xu]],["mobilenet_v3",["MobileNetV3ForImageClassification",Ju]],["mobilenet_v4",["MobileNetV4ForImageClassification",Bh]]]),il=new Map([["detr",["DetrForObjectDetection",vd]],["rt_detr",["RTDetrForObjectDetection",da]],["table-transformer",["TableTransformerForObjectDetection",Td]],["yolos",["YolosForObjectDetection",Ud]]]),ol=new Map([["owlvit",["OwlViTForObjectDetection",_d]],["owlv2",["Owlv2ForObjectDetection",Hp]],["grounding-dino",["GroundingDinoForObjectDetection",Bd]]]),nf=new Map([["detr",["DetrForSegmentation",Ed]],["clipseg",["CLIPSegForImageSegmentation",pc]]]),sf=new Map([["segformer",["SegformerForSemanticSegmentation",Ih]],["sapiens",["SapiensForSemanticSegmentation",Sd]]]),ul=new Map([["detr",["DetrForSegmentation",Ed]],["maskformer",["MaskFormerForInstanceSegmentation",Gi]]]),af=new Map([["sam",["SamModel",Wd]]]),of=new Map([["wav2vec2",["Wav2Vec2ForCTC",Yd]],["wav2vec2-bert",["Wav2Vec2BertForCTC",oh]],["unispeech",["UniSpeechForCTC",rh]],["unispeech-sat",["UniSpeechSatForCTC",sh]],["wavlm",["WavLMForCTC",fh]],["hubert",["HubertForCTC",ch]]]),ll=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",Xd]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",uh]],["unispeech",["UniSpeechForSequenceClassification",nh]],["unispeech-sat",["UniSpeechSatForSequenceClassification",ah]],["wavlm",["WavLMForSequenceClassification",ph]],["hubert",["HubertForSequenceClassification",dh]],["audio-spectrogram-transformer",["ASTForAudioClassification",So]]]),uf=new Map([["wavlm",["WavLMForXVector",mh]]]),lf=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",tm]],["wavlm",["WavLMForAudioFrameClassification",rm]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",Qd]],["pyannote",["PyAnnoteForAudioFrameClassification",eh]]]),cf=new Map([["vitmatte",["VitMatteForImageMatting",cd]]]),pm=new Map([["patchtst",["PatchTSTForPrediction",Kh]],["patchtsmixer",["PatchTSMixerForPrediction",Zh]]]),mm=new Map([["swin2sr",["Swin2SRForImageSuperResolution",qp]]]),df=new Map([["dpt",["DPTForDepthEstimation",ni]],["depth_anything",["DepthAnythingForDepthEstimation",Iu]],["glpn",["GLPNForDepthEstimation",Ou]],["sapiens",["SapiensForDepthEstimation",Ad]],["depth_pro",["DepthProForDepthEstimation",Id]]]),hf=new Map([["sapiens",["SapiensForNormalEstimation",Zp]]]),ff=new Map([["vitpose",["VitPoseForPoseEstimation",td]]]),pf=new Map([["clip",["CLIPVisionModelWithProjection",lc]],["siglip",["SiglipVisionModel",hc]],["jina_clip",["JinaCLIPVisionModel",as]]]),_m=[[cm,F.EncoderOnly],[dm,F.EncoderDecoder],[hm,F.DecoderOnly],[Qh,F.EncoderOnly],[Jh,F.EncoderOnly],[nl,F.Seq2Seq],[rl,F.Seq2Seq],[ef,F.DecoderOnly],[to,F.MultiModality],[sl,F.EncoderOnly],[al,F.EncoderOnly],[ro,F.Vision2Seq],[tf,F.ImageTextToText],[rf,F.EncoderOnly],[nf,F.EncoderOnly],[ul,F.EncoderOnly],[sf,F.EncoderOnly],[cf,F.EncoderOnly],[pm,F.EncoderOnly],[mm,F.EncoderOnly],[df,F.EncoderOnly],[hf,F.EncoderOnly],[ff,F.EncoderOnly],[il,F.EncoderOnly],[ol,F.EncoderOnly],[af,F.MaskGeneration],[of,F.EncoderOnly],[ll,F.EncoderOnly],[Yh,F.Seq2Seq],[Xh,F.EncoderOnly],[uf,F.EncoderOnly],[lf,F.EncoderOnly],[pf,F.EncoderOnly]];for(const[A,O]of _m)for(const[Z,xe]of A.values())I.set(Z,O),$.set(xe,Z),k.set(Z,xe);const gm=[["MusicgenForConditionalGeneration",eo,F.Musicgen],["Phi3VForCausalLM",Zn,F.Phi3V],["CLIPTextModelWithProjection",uc,F.EncoderOnly],["SiglipTextModel",dc,F.EncoderOnly],["JinaCLIPTextModel",Lo,F.EncoderOnly],["ClapTextModelWithProjection",Ch,F.EncoderOnly],["ClapAudioModelWithProjection",Sh,F.EncoderOnly]];for(const[A,O,Z]of gm)I.set(A,Z),$.set(O,A),k.set(A,O);class cl extends Fr{}we(cl,"MODEL_CLASS_MAPPINGS",_m.map(O=>O[0])),we(cl,"BASE_IF_FAIL",!0);class mf extends Fr{}we(mf,"MODEL_CLASS_MAPPINGS",[Qh]);class bm extends Fr{}we(bm,"MODEL_CLASS_MAPPINGS",[Jh]);class _f extends Fr{}we(_f,"MODEL_CLASS_MAPPINGS",[nl]);class gf extends Fr{}we(gf,"MODEL_CLASS_MAPPINGS",[rl]);class bf extends Fr{}we(bf,"MODEL_CLASS_MAPPINGS",[Yh]);class yf extends Fr{}we(yf,"MODEL_CLASS_MAPPINGS",[Xh]);class ym extends Fr{}we(ym,"MODEL_CLASS_MAPPINGS",[ef]);class wf extends Fr{}we(wf,"MODEL_CLASS_MAPPINGS",[sl]);class vf extends Fr{}we(vf,"MODEL_CLASS_MAPPINGS",[al]);class Ef extends Fr{}we(Ef,"MODEL_CLASS_MAPPINGS",[ro]);class Tf extends Fr{}we(Tf,"MODEL_CLASS_MAPPINGS",[rf]);class xf extends Fr{}we(xf,"MODEL_CLASS_MAPPINGS",[nf]);class Mf extends Fr{}we(Mf,"MODEL_CLASS_MAPPINGS",[sf]);class Pf extends Fr{}we(Pf,"MODEL_CLASS_MAPPINGS",[ul]);class Cf extends Fr{}we(Cf,"MODEL_CLASS_MAPPINGS",[il]);class Sf extends Fr{}we(Sf,"MODEL_CLASS_MAPPINGS",[ol]);class Af extends Fr{}we(Af,"MODEL_CLASS_MAPPINGS",[af]);class kf extends Fr{}we(kf,"MODEL_CLASS_MAPPINGS",[of]);class dl extends Fr{}we(dl,"MODEL_CLASS_MAPPINGS",[ll]);class If extends Fr{}we(If,"MODEL_CLASS_MAPPINGS",[uf]);class $f extends Fr{}we($f,"MODEL_CLASS_MAPPINGS",[lf]);class Of extends Fr{}we(Of,"MODEL_CLASS_MAPPINGS",[fm]);class Lf extends Fr{}we(Lf,"MODEL_CLASS_MAPPINGS",[cf]);class Rf extends Fr{}we(Rf,"MODEL_CLASS_MAPPINGS",[mm]);class Ff extends Fr{}we(Ff,"MODEL_CLASS_MAPPINGS",[df]);class Nf extends Fr{}we(Nf,"MODEL_CLASS_MAPPINGS",[hf]);class wm extends Fr{}we(wm,"MODEL_CLASS_MAPPINGS",[ff]);class Df extends Fr{}we(Df,"MODEL_CLASS_MAPPINGS",[pf]);class vm extends He{constructor({logits:O,past_key_values:Z,encoder_outputs:xe,decoder_attentions:Ne=null,cross_attentions:De=null}){super(),this.logits=O,this.past_key_values=Z,this.encoder_outputs=xe,this.decoder_attentions=Ne,this.cross_attentions=De}}class ar extends He{constructor({logits:O,...Z}){super(),this.logits=O;const xe=Object.values(Z);xe.length>0&&(this.attentions=xe)}}class Em extends He{constructor({logits:O,embeddings:Z}){super(),this.logits=O,this.embeddings=Z}}class gn extends He{constructor({logits:O}){super(),this.logits=O}}class vn extends He{constructor({logits:O}){super(),this.logits=O}}class Sn extends He{constructor({start_logits:O,end_logits:Z}){super(),this.start_logits=O,this.end_logits=Z}}class Oa extends He{constructor({logits:O}){super(),this.logits=O}}class Tm extends He{constructor({logits:O,past_key_values:Z}){super(),this.logits=O,this.past_key_values=Z}}class ui extends He{constructor({alphas:O}){super(),this.alphas=O}}class Bf extends He{constructor({waveform:O,spectrogram:Z}){super(),this.waveform=O,this.spectrogram=Z}}},"./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js":(r,e,t)=>{t.r(e),t.d(e,{ASTFeatureExtractor:()=>o});var n=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var a=t("./src/utils/audio.js");class o extends n.FeatureExtractor{constructor(d){super(d);const c=this.config.sampling_rate,h=(0,a.mel_filter_bank)(256,this.config.num_mel_bins,20,Math.floor(c/2),c,null,"kaldi",!0);for(let _=0;_<h.length;++_)h[_].push(0);this.mel_filters=h,this.window=(0,a.window_function)(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(d,c){return(0,a.spectrogram)(d,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:1192092955078125e-22,remove_dc_offset:!0,max_num_frames:c,transpose:!0})}async _call(d){(0,n.validate_audio_inputs)(d,"ASTFeatureExtractor");const c=await this._extract_fbank_features(d,this.config.max_length);if(this.config.do_normalize){const h=this.std*2,_=c.data;for(let y=0;y<_.length;++y)_[y]=(_[y]-this.mean)/h}return{input_values:c.unsqueeze_(0)}}}},"./src/models/auto/feature_extraction_auto.js":(r,e,t)=>{t.r(e),t.d(e,{AutoFeatureExtractor:()=>u});var n=t("./src/utils/constants.js"),a=t("./src/utils/hub.js");t("./src/base/feature_extraction_utils.js");var o=t("./src/models/feature_extractors.js");class u{static async from_pretrained(c,h={}){const _=await(0,a.getModelJSON)(c,n.FEATURE_EXTRACTOR_NAME,!0,h),y=_.feature_extractor_type,w=o[y];if(!w)throw new Error(`Unknown feature_extractor_type: '${y}'. Please report this at ${n.GITHUB_ISSUE_URL}.`);return new w(_)}}},"./src/models/auto/image_processing_auto.js":(r,e,t)=>{t.r(e),t.d(e,{AutoImageProcessor:()=>d});var n=t("./src/utils/constants.js"),a=t("./src/utils/hub.js"),o=t("./src/base/image_processors_utils.js"),u=t("./src/models/image_processors.js");class d{static async from_pretrained(h,_={}){const y=await(0,a.getModelJSON)(h,n.IMAGE_PROCESSOR_NAME,!0,_),w=y.image_processor_type??y.feature_extractor_type;let M=u[w];return M||(w!==void 0&&console.warn(`Image processor type '${w}' not found, assuming base ImageProcessor. Please report this at ${n.GITHUB_ISSUE_URL}.`),M=o.ImageProcessor),new M(y)}}},"./src/models/auto/processing_auto.js":(r,e,t)=>{t.r(e),t.d(e,{AutoProcessor:()=>h});var n=t("./src/utils/constants.js"),a=t("./src/utils/hub.js"),o=t("./src/base/processing_utils.js"),u=t("./src/models/processors.js"),d=t("./src/models/image_processors.js"),c=t("./src/models/feature_extractors.js");class h{static async from_pretrained(y,w={}){const M=await(0,a.getModelJSON)(y,n.IMAGE_PROCESSOR_NAME,!0,w),{image_processor_type:S,feature_extractor_type:G,processor_class:H}=M;if(H&&u[H])return u[H].from_pretrained(y,w);if(!S&&!G)throw new Error("No `image_processor_type` or `feature_extractor_type` found in the config.");const B={};if(S){const U=d[S];if(!U)throw new Error(`Unknown image_processor_type: '${S}'.`);B.image_processor=new U(M)}if(G){const U=d[G];if(U)B.image_processor=new U(M);else{const F=c[G];if(!F)throw new Error(`Unknown feature_extractor_type: '${G}'.`);B.feature_extractor=new F(M)}}const z={};return new o.Processor(z,B)}}},"./src/models/beit/image_processing_beit.js":(r,e,t)=>{t.r(e),t.d(e,{BeitFeatureExtractor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}},"./src/models/bit/image_processing_bit.js":(r,e,t)=>{t.r(e),t.d(e,{BitImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}},"./src/models/chinese_clip/image_processing_chinese_clip.js":(r,e,t)=>{t.r(e),t.d(e,{ChineseCLIPFeatureExtractor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}},"./src/models/clap/feature_extraction_clap.js":(r,e,t)=>{t.r(e),t.d(e,{ClapFeatureExtractor:()=>o});var n=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var a=t("./src/utils/audio.js");class o extends n.FeatureExtractor{constructor(d){super(d),this.mel_filters=(0,a.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,null,"htk"),this.mel_filters_slaney=(0,a.mel_filter_bank)(this.config.nb_frequency_bins,this.config.feature_size,this.config.frequency_min,this.config.frequency_max,this.config.sampling_rate,"slaney","slaney"),this.window=(0,a.window_function)(this.config.fft_window_size,"hann")}async _get_input_mel(d,c,h,_){let y;const w=d.length-c;if(w>0)if(h==="rand_trunc"){const M=Math.floor(Math.random()*(w+1));d=d.subarray(M,M+c),y=await this._extract_fbank_features(d,this.mel_filters_slaney,this.config.nb_max_samples)}else throw new Error(`Truncation strategy "${h}" not implemented`);else{if(w<0){let M=new Float64Array(c);if(M.set(d),_==="repeat")for(let S=d.length;S<c;S+=d.length)M.set(d.subarray(0,Math.min(d.length,c-S)),S);else if(_==="repeatpad")for(let S=d.length;S<-w;S+=d.length)M.set(d,S);d=M}if(h==="fusion")throw new Error(`Truncation strategy "${h}" not implemented`);y=await this._extract_fbank_features(d,this.mel_filters_slaney,this.config.nb_max_samples)}return y.unsqueeze_(0)}async _extract_fbank_features(d,c,h=null){return(0,a.spectrogram)(d,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:c,log_mel:"dB",max_num_frames:h,do_pad:!1,transpose:!0})}async _call(d,{max_length:c=null}={}){return(0,n.validate_audio_inputs)(d,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(d,c??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}}},"./src/models/clip/image_processing_clip.js":(r,e,t)=>{t.r(e),t.d(e,{CLIPFeatureExtractor:()=>o,CLIPImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}class o extends a{}},"./src/models/convnext/image_processing_convnext.js":(r,e,t)=>{t.r(e),t.d(e,{ConvNextFeatureExtractor:()=>o,ConvNextImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{constructor(d){super(d),this.crop_pct=this.config.crop_pct??224/256}async resize(d){var h;const c=(h=this.size)==null?void 0:h.shortest_edge;if(c===void 0)throw new Error("Size dictionary must contain 'shortest_edge' key.");if(c<384){const _=Math.floor(c/this.crop_pct),[y,w]=this.get_resize_output_image_size(d,{shortest_edge:_});d=await d.resize(y,w,{resample:this.resample}),d=await d.center_crop(c,c)}else d=await d.resize(c,c,{resample:this.resample});return d}}class o extends a{}},"./src/models/deit/image_processing_deit.js":(r,e,t)=>{t.r(e),t.d(e,{DeiTFeatureExtractor:()=>o,DeiTImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}class o extends a{}},"./src/models/detr/image_processing_detr.js":(r,e,t)=>{t.r(e),t.d(e,{DetrFeatureExtractor:()=>u,DetrImageProcessor:()=>o});var n=t("./src/base/image_processors_utils.js"),a=t("./src/utils/tensor.js");class o extends n.ImageProcessor{async _call(c){const h=await super._call(c),_=[h.pixel_values.dims[0],64,64],y=(0,a.full)(_,1n);return{...h,pixel_mask:y}}post_process_object_detection(...c){return(0,n.post_process_object_detection)(...c)}post_process_panoptic_segmentation(...c){return(0,n.post_process_panoptic_segmentation)(...c)}post_process_instance_segmentation(...c){return(0,n.post_process_instance_segmentation)(...c)}}class u extends o{}},"./src/models/donut/image_processing_donut.js":(r,e,t)=>{t.r(e),t.d(e,{DonutFeatureExtractor:()=>o,DonutImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{pad_image(d,c,h,_={}){const[y,w,M]=c;let S=this.image_mean;Array.isArray(this.image_mean)||(S=new Array(M).fill(S));let G=this.image_std;Array.isArray(G)||(G=new Array(M).fill(S));const H=S.map((B,z)=>-B/G[z]);return super.pad_image(d,c,h,{center:!0,constant_values:H,..._})}}class o extends a{}},"./src/models/dpt/image_processing_dpt.js":(r,e,t)=>{t.r(e),t.d(e,{DPTFeatureExtractor:()=>o,DPTImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}class o extends a{}},"./src/models/efficientnet/image_processing_efficientnet.js":(r,e,t)=>{t.r(e),t.d(e,{EfficientNetImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{constructor(u){super(u),this.include_top=this.config.include_top??!0,this.include_top&&(this.image_std=this.image_std.map(d=>d*d))}}},"./src/models/feature_extractors.js":(r,e,t)=>{t.r(e),t.d(e,{ASTFeatureExtractor:()=>n.ASTFeatureExtractor,ClapFeatureExtractor:()=>a.ClapFeatureExtractor,ImageFeatureExtractor:()=>w.ImageProcessor,MoonshineFeatureExtractor:()=>o.MoonshineFeatureExtractor,PyAnnoteFeatureExtractor:()=>u.PyAnnoteFeatureExtractor,SeamlessM4TFeatureExtractor:()=>d.SeamlessM4TFeatureExtractor,SpeechT5FeatureExtractor:()=>c.SpeechT5FeatureExtractor,Wav2Vec2FeatureExtractor:()=>h.Wav2Vec2FeatureExtractor,WeSpeakerFeatureExtractor:()=>_.WeSpeakerFeatureExtractor,WhisperFeatureExtractor:()=>y.WhisperFeatureExtractor});var n=t("./src/models/audio_spectrogram_transformer/feature_extraction_audio_spectrogram_transformer.js"),a=t("./src/models/clap/feature_extraction_clap.js"),o=t("./src/models/moonshine/feature_extraction_moonshine.js"),u=t("./src/models/pyannote/feature_extraction_pyannote.js"),d=t("./src/models/seamless_m4t/feature_extraction_seamless_m4t.js"),c=t("./src/models/speecht5/feature_extraction_speecht5.js"),h=t("./src/models/wav2vec2/feature_extraction_wav2vec2.js"),_=t("./src/models/wespeaker/feature_extraction_wespeaker.js"),y=t("./src/models/whisper/feature_extraction_whisper.js"),w=t("./src/base/image_processors_utils.js")},"./src/models/florence2/processing_florence2.js":(r,e,t)=>{t.r(e),t.d(e,{Florence2Processor:()=>u});var n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");class u extends n.Processor{constructor(c,h){super(c,h);const{tasks_answer_post_processing_type:_,task_prompts_without_inputs:y,task_prompts_with_input:w}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(_??{})),this.task_prompts_without_inputs=new Map(Object.entries(y??{})),this.task_prompts_with_input=new Map(Object.entries(w??{})),this.regexes={quad_boxes:/(.+?)<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm,bboxes:/([^<]+)?<loc_(\d+)><loc_(\d+)><loc_(\d+)><loc_(\d+)>/gm},this.size_per_bin=1e3}construct_prompts(c){typeof c=="string"&&(c=[c]);const h=[];for(const _ of c)if(this.task_prompts_without_inputs.has(_))h.push(this.task_prompts_without_inputs.get(_));else{for(const[y,w]of this.task_prompts_with_input)if(_.includes(y)){h.push(w.replaceAll("{input}",_).replaceAll(y,""));break}h.length!==c.length&&h.push(_)}return h}post_process_generation(c,h,_){const y=this.tasks_answer_post_processing_type.get(h)??"pure_text";c=c.replaceAll("<s>","").replaceAll("</s>","");let w;switch(y){case"pure_text":w=c;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":const M=y==="ocr"?"quad_boxes":"bboxes",S=c.matchAll(this.regexes[M]),G=[],H=[];for(const[B,z,...U]of S)G.push(z?z.trim():G.at(-1)??""),H.push(U.map((F,I)=>(Number(F)+.5)/this.size_per_bin*_[I%2]));w={labels:G,[M]:H};break;default:throw new Error(`Task "${h}" (of type "${y}") not yet implemented.`)}return{[h]:w}}async _call(c,h=null,_={}){if(!c&&!h)throw new Error("Either text or images must be provided");const y=await this.image_processor(c,_),w=h?this.tokenizer(h,_):{};return{...y,...w}}}we(u,"tokenizer_class",o.AutoTokenizer),we(u,"image_processor_class",a.AutoImageProcessor)},"./src/models/glpn/image_processing_glpn.js":(r,e,t)=>{t.r(e),t.d(e,{GLPNFeatureExtractor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}},"./src/models/grounding_dino/image_processing_grounding_dino.js":(r,e,t)=>{t.r(e),t.d(e,{GroundingDinoImageProcessor:()=>o});var n=t("./src/base/image_processors_utils.js"),a=t("./src/utils/tensor.js");class o extends n.ImageProcessor{async _call(d){const c=await super._call(d),h=c.pixel_values.dims,_=(0,a.ones)([h[0],h[2],h[3]]);return{...c,pixel_mask:_}}}},"./src/models/grounding_dino/processing_grounding_dino.js":(r,e,t)=>{t.r(e),t.d(e,{GroundingDinoProcessor:()=>c});var n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js"),u=t("./src/base/image_processors_utils.js");function d(h,_){const w=h.dims.at(-1)-1,M=h.tolist();M.fill(!1,0,1),M.fill(!1,w);const S=_.tolist();return M.map((G,H)=>G?H:null).filter(G=>G!==null).map(G=>S[G])}class c extends n.Processor{async _call(_,y,w={}){const M=_?await this.image_processor(_,w):{};return{...y?this.tokenizer(y,w):{},...M}}post_process_grounded_object_detection(_,y,{box_threshold:w=.25,text_threshold:M=.25,target_sizes:S=null}={}){const{logits:G,pred_boxes:H}=_,B=G.dims[0];if(S!==null&&S.length!==B)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");const z=G.dims.at(1),U=G.sigmoid(),F=U.max(-1).tolist(),I=H.tolist().map($=>$.map(j=>(0,u.center_to_corners_format)(j))),k=[];for(let $=0;$<B;++$){const j=S!==null?S[$]:null;j!==null&&(I[$]=I[$].map(ie=>ie.map((oe,re)=>oe*j[(re+1)%2])));const ce=F[$],ue=[],Pe=[],Te=[];for(let ie=0;ie<z;++ie){const oe=ce[ie];if(oe<=w)continue;const re=I[$][ie],ge=U[$][ie];ue.push(oe),Te.push(re);const ve=d(ge.gt(M),y[$]);Pe.push(ve)}k.push({scores:ue,boxes:Te,labels:this.batch_decode(Pe)})}return k}}we(c,"tokenizer_class",o.AutoTokenizer),we(c,"image_processor_class",a.AutoImageProcessor)},"./src/models/idefics3/image_processing_idefics3.js":(r,e,t)=>{t.r(e),t.d(e,{Idefics3ImageProcessor:()=>o});var n=t("./src/base/image_processors_utils.js"),a=t("./src/utils/tensor.js");class o extends n.ImageProcessor{constructor(d){super(d),this.do_image_splitting=d.do_image_splitting??!0,this.max_image_size=d.max_image_size}get_resize_for_vision_encoder(d,c){let[h,_]=d.dims.slice(-2);const y=_/h;return _>=h?(_=Math.ceil(_/c)*c,h=Math.floor(_/y),h=Math.ceil(h/c)*c):(h=Math.ceil(h/c)*c,_=Math.floor(h*y),_=Math.ceil(_/c)*c),{height:h,width:_}}async _call(d,{do_image_splitting:c=null,return_row_col_info:h=!1}={}){let _;if(!Array.isArray(d))_=[[d]];else{if(d.length===0||!d[0])throw new Error("No images provided.");Array.isArray(d[0])?_=d:_=[d]}let y=[],w=[],M=[];const S=[],G=[];for(const $ of _){let j=await Promise.all($.map(Pe=>this.preprocess(Pe)));S.push(...j.map(Pe=>Pe.original_size)),G.push(...j.map(Pe=>Pe.reshaped_input_size)),j.forEach(Pe=>Pe.pixel_values.unsqueeze_(0));const{longest_edge:ce}=this.max_image_size;let ue;if(c??this.do_image_splitting){let Pe=new Array(j.length),Te=new Array(j.length);ue=await Promise.all(j.map(async(ie,oe)=>{const re=this.get_resize_for_vision_encoder(ie.pixel_values,ce),ge=await(0,a.interpolate_4d)(ie.pixel_values,{size:[re.height,re.width]}),{frames:ve,num_splits_h:me,num_splits_w:Le}=await this.split_image(ge,this.max_image_size);return Pe[oe]=me,Te[oe]=Le,(0,a.cat)(ve,0)})),w.push(Pe),M.push(Te)}else{const Pe=[ce,ce];ue=await Promise.all(j.map(Te=>(0,a.interpolate_4d)(Te.pixel_values,{size:Pe}))),w.push(new Array(j.length).fill(0)),M.push(new Array(j.length).fill(0))}y.push((0,a.cat)(ue,0))}const H=y.length,[B,z,U,F]=y[0].dims;let I,k;if(H===1)I=y[0].unsqueeze_(0),k=(0,a.full)([H,B,U,F],!0);else{const $=Math.max(...y.map(ue=>ue.dims.at(0)));k=(0,a.full)([H,$,U,F],!0);const j=k.data,ce=$*U*F;for(let ue=0;ue<H;++ue){const Pe=y[ue].dims[0];if(Pe<$){y[ue]=(0,a.cat)([y[ue],(0,a.full)([$-Pe,z,U,F],0)],0);const Te=ue*ce+Pe*U*F,ie=(ue+1)*ce;j.fill(!1,Te,ie)}}I=(0,a.stack)(y,0)}return{pixel_values:I,pixel_attention_mask:k,original_sizes:S,reshaped_input_sizes:G,...h?{rows:w,cols:M}:{}}}async split_image(d,{longest_edge:c}){const h=c,_=c,y=[],[w,M]=d.dims.slice(-2);let S=0,G=0;if(w>h||M>_){S=Math.ceil(w/h),G=Math.ceil(M/_);const H=Math.ceil(w/S),B=Math.ceil(M/G);for(let F=0;F<S;++F)for(let I=0;I<G;++I){let k,$,j,ce;F===S-1?($=w-H,ce=w):($=F*H,ce=(F+1)*H),I===G-1?(k=M-B,j=M):(k=I*B,j=(I+1)*B);const ue=[$,k],Pe=[ce,j],Te=await(0,a.slice)(d,ue,Pe,[2,3]);y.push(Te)}const z=h,U=_;(w!==z||M!==U)&&(d=await(0,a.interpolate_4d)(d,{size:[z,U]}))}return y.push(d),{frames:y,num_splits_h:S,num_splits_w:G}}}},"./src/models/idefics3/processing_idefics3.js":(r,e,t)=>{t.r(e),t.d(e,{Idefics3Processor:()=>_});var n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");t("./src/utils/image.js");var u=t("./src/utils/core.js");function d(y,w,M,S,G,H){let B="";for(let z=0;z<w;++z){for(let U=0;U<M;++U)B+=S+`<row_${z+1}_col_${U+1}>`+G.repeat(y);B+=`
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Promise.all(y.filter(ue=>ue.images).flatMap(ue=>ue.images).map(ue=>c.RawImage.read(ue)));const S=this.tokenizer,G=S.apply_chat_template(y,{tokenize:!1,add_generation_prompt:!0,chat_template:M}),H=ue=>S.encode(ue,{add_special_tokens:!1}),B=G.split(this.image_tag),z=B.length-1;if(w.length!==z)throw new Error(`Number of images provided (${w.length}) does not match number of "${this.image_tag}" image tags (${z})`);const[U,F,I]=S.model.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]);let k=H(B[0]),$=new Array(k.length).fill(!1);for(let ue=1;ue<B.length;++ue){const Pe=new Array(this.num_image_tokens).fill(U),Te=H(B[ue]);k=(0,u.mergeArrays)(k,[F],Pe,[I],Te);const ie=new Array(this.num_image_tokens).fill(!0);$=(0,u.mergeArrays)($,[!1],ie,[!1],new Array(Te.length).fill(!1))}const j=[1,k.length],ce={input_ids:new d.Tensor("int64",k,j),attention_mask:new d.Tensor("int64",new Array(k.length).fill(1),j),images_seq_mask:new d.Tensor("bool",$,j),images_emb_mask:new 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n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");class u extends n.Processor{async _call(c=null,h=null,_={}){if(!c&&!h)throw new Error("Either text or images must be provided");const y=c?this.tokenizer(c,_):{},w=h?await this.image_processor(h,_):{};return{...y,...w}}}we(u,"tokenizer_class",o.AutoTokenizer),we(u,"image_processor_class",a.AutoImageProcessor)},"./src/models/llava_onevision/image_processing_llava_onevision.js":(r,e,t)=>{t.r(e),t.d(e,{LlavaOnevisionImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}},"./src/models/mask2former/image_processing_mask2former.js":(r,e,t)=>{t.r(e),t.d(e,{Mask2FormerImageProcessor:()=>a});var n=t("./src/models/maskformer/image_processing_maskformer.js");class a extends n.MaskFormerImageProcessor{}},"./src/models/maskformer/image_processing_maskformer.js":(r,e,t)=>{t.r(e),t.d(e,{MaskFormerFeatureExtractor:()=>o,MaskFormerImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{post_process_panoptic_segmentation(...d){return(0,n.post_process_panoptic_segmentation)(...d)}post_process_instance_segmentation(...d){return(0,n.post_process_instance_segmentation)(...d)}}class o extends a{}},"./src/models/mgp_str/processing_mgp_str.js":(r,e,t)=>{t.r(e),t.d(e,{MgpstrProcessor:()=>c});var n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js"),u=t("./src/utils/maths.js");const d={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]};class c extends n.Processor{get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return 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from_pretrained(..._){const y=await super.from_pretrained(..._),w=await o.AutoTokenizer.from_pretrained("Xenova/gpt2"),M=await o.AutoTokenizer.from_pretrained("Xenova/bert-base-uncased");return y.components={image_processor:y.image_processor,char_tokenizer:y.tokenizer,bpe_tokenizer:w,wp_tokenizer:M},y}async _call(_,y=null){const w=await this.image_processor(_);return y&&(w.labels=this.tokenizer(y).input_ids),w}}we(c,"tokenizer_class",o.AutoTokenizer),we(c,"image_processor_class",a.AutoImageProcessor)},"./src/models/mobilenet_v1/image_processing_mobilenet_v1.js":(r,e,t)=>{t.r(e),t.d(e,{MobileNetV1FeatureExtractor:()=>o,MobileNetV1ImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{}class o extends a{}},"./src/models/mobilenet_v2/image_processing_mobilenet_v2.js":(r,e,t)=>{t.r(e),t.d(e,{MobileNetV2FeatureExtractor:()=>o,MobileNetV2ImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends 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extends n.FeatureExtractor{async _call(d){(0,n.validate_audio_inputs)(d,"MoonshineFeatureExtractor"),d instanceof Float64Array&&(d=new Float32Array(d));const c=[1,d.length];return{input_values:new a.Tensor("float32",d,c)}}}},"./src/models/moonshine/processing_moonshine.js":(r,e,t)=>{t.r(e),t.d(e,{MoonshineProcessor:()=>u});var n=t("./src/models/auto/feature_extraction_auto.js"),a=t("./src/tokenizers.js"),o=t("./src/base/processing_utils.js");class u extends o.Processor{async _call(c){return await this.feature_extractor(c)}}we(u,"tokenizer_class",a.AutoTokenizer),we(u,"feature_extractor_class",n.AutoFeatureExtractor)},"./src/models/nougat/image_processing_nougat.js":(r,e,t)=>{t.r(e),t.d(e,{NougatImageProcessor:()=>a});var n=t("./src/models/donut/image_processing_donut.js");class a extends n.DonutImageProcessor{}},"./src/models/owlv2/image_processing_owlv2.js":(r,e,t)=>{t.r(e),t.d(e,{Owlv2ImageProcessor:()=>a});var n=t("./src/models/owlvit/image_processing_owlvit.js");class a extends n.OwlViTImageProcessor{}},"./src/models/owlvit/image_processing_owlvit.js":(r,e,t)=>{t.r(e),t.d(e,{OwlViTFeatureExtractor:()=>o,OwlViTImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{post_process_object_detection(...d){return(0,n.post_process_object_detection)(...d)}}class o extends a{}},"./src/models/owlvit/processing_owlvit.js":(r,e,t)=>{t.r(e),t.d(e,{OwlViTProcessor:()=>u});var n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");class u extends n.Processor{}we(u,"tokenizer_class",o.AutoTokenizer),we(u,"image_processor_class",a.AutoImageProcessor)},"./src/models/paligemma/processing_paligemma.js":(r,e,t)=>{t.r(e),t.d(e,{PaliGemmaProcessor:()=>c});var n=t("./src/base/processing_utils.js"),a=t("./src/models/auto/image_processing_auto.js"),o=t("./src/tokenizers.js");const u="<image>";function d(h,_,y,w,M){return`${w.repeat(y*M)}${_}${h}
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n=[["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"]],a=new Map(n),o=new Map([...n.map(([d,c])=>[c,d]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function u(d){d=d.toLowerCase();let c=o.get(d);if(c===void 0)if(a.has(d))c=d;else{const _=d.length===2?a.keys():a.values();throw new Error(`Language "${d}" is not supported. Must be one of: ${JSON.stringify(_)}`)}return c}},"./src/models/whisper/feature_extraction_whisper.js":(r,e,t)=>{t.r(e),t.d(e,{WhisperFeatureExtractor:()=>u});var n=t("./src/base/feature_extraction_utils.js");t("./src/utils/tensor.js");var a=t("./src/utils/audio.js"),o=t("./src/utils/maths.js");class u extends n.FeatureExtractor{constructor(c){var h;super(c),(h=this.config).mel_filters??(h.mel_filters=(0,a.mel_filter_bank)(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8e3,this.config.sampling_rate,"slaney","slaney")),this.window=(0,a.window_function)(this.config.n_fft,"hann")}async _extract_fbank_features(c){const h=await(0,a.spectrogram)(c,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}),_=h.data,y=(0,o.max)(_)[0];for(let w=0;w<_.length;++w)_[w]=(Math.max(_[w],y-8)+4)/4;return h}async _call(c){(0,n.validate_audio_inputs)(c,"WhisperFeatureExtractor");let h;return c.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`."),h=c.slice(0,this.config.n_samples)):(h=new Float32Array(this.config.n_samples),h.set(c)),{input_features:(await this._extract_fbank_features(h)).unsqueeze_(0)}}}},"./src/models/whisper/generation_whisper.js":(r,e,t)=>{t.r(e),t.d(e,{WhisperGenerationConfig:()=>a});var n=t("./src/generation/configuration_utils.js");class a extends n.GenerationConfig{constructor(){super(...arguments);we(this,"return_timestamps",null);we(this,"return_token_timestamps",null);we(this,"num_frames",null);we(this,"alignment_heads",null);we(this,"task",null);we(this,"language",null);we(this,"no_timestamps_token_id",null);we(this,"prompt_ids",null);we(this,"is_multilingual",null);we(this,"lang_to_id",null);we(this,"task_to_id",null);we(this,"max_initial_timestamp_index",1)}}},"./src/models/whisper/processing_whisper.js":(r,e,t)=>{t.r(e),t.d(e,{WhisperProcessor:()=>u});var n=t("./src/models/auto/feature_extraction_auto.js"),a=t("./src/tokenizers.js"),o=t("./src/base/processing_utils.js");class u extends o.Processor{async _call(c){return await this.feature_extractor(c)}}we(u,"tokenizer_class",a.AutoTokenizer),we(u,"feature_extractor_class",n.AutoFeatureExtractor)},"./src/models/yolos/image_processing_yolos.js":(r,e,t)=>{t.r(e),t.d(e,{YolosFeatureExtractor:()=>o,YolosImageProcessor:()=>a});var n=t("./src/base/image_processors_utils.js");class a extends n.ImageProcessor{post_process_object_detection(...d){return(0,n.post_process_object_detection)(...d)}}class o extends a{}},"./src/ops/registry.js":(r,e,t)=>{t.r(e),t.d(e,{TensorOpRegistry:()=>u});var n=t("./src/backends/onnx.js"),a=t("./src/utils/tensor.js");const o=async(d,c,h)=>{const _=await(0,n.createInferenceSession)(new Uint8Array(d),c);return async y=>{const w=(0,n.isONNXProxy)(),M=Object.fromEntries(Object.entries(y).map(([G,H])=>[G,(w?H.clone():H).ort_tensor])),S=await _.run(M);return Array.isArray(h)?h.map(G=>new a.Tensor(S[G])):new a.Tensor(S[h])}};class u{static get nearest_interpolate_4d(){return this._nearest_interpolate_4d||(this._nearest_interpolate_4d=o([8,10,18,0,58,129,1,10,41,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,18,10,4,109,111,100,101,34,7,110,101,97,114,101,115,116,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,21],this.session_options,"y")),this._nearest_interpolate_4d}static get bilinear_interpolate_4d(){return this._bilinear_interpolate_4d||(this._bilinear_interpolate_4d=o([8,9,18,0,58,128,1,10,40,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,17,10,4,109,111,100,101,34,6,108,105,110,101,97,114,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bilinear_interpolate_4d}static get bicubic_interpolate_4d(){return this._bicubic_interpolate_4d||(this._bicubic_interpolate_4d=o([8,9,18,0,58,127,10,39,10,1,120,10,0,10,0,10,1,115,18,1,121,34,6,82,101,115,105,122,101,42,16,10,4,109,111,100,101,34,5,99,117,98,105,99,160,1,3,18,1,114,90,31,10,1,120,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,90,15,10,1,115,18,10,10,8,8,7,18,4,10,2,8,4,98,31,10,1,121,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,99,10,3,18,1,104,10,3,18,1,119,66,2,16,20],this.session_options,"y")),this._bicubic_interpolate_4d}static get matmul(){return this._matmul||(this._matmul=o([8,9,18,0,58,55,10,17,10,1,97,10,1,98,18,1,99,34,6,77,97,116,77,117,108,18,1,114,90,9,10,1,97,18,4,10,2,8,1,90,9,10,1,98,18,4,10,2,8,1,98,9,10,1,99,18,4,10,2,8,1,66,2,16,20],this.session_options,"c")),this._matmul}static get stft(){return this._stft||(this._stft=o([8,7,18,0,58,148,1,10,38,10,1,115,10,1,106,10,1,119,10,1,108,18,1,111,34,4,83,84,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,115,90,26,10,1,115,18,21,10,19,8,1,18,15,10,3,18,1,98,10,3,18,1,115,10,3,18,1,99,90,11,10,1,106,18,6,10,4,8,7,18,0,90,16,10,1,119,18,11,10,9,8,1,18,5,10,3,18,1,119,90,11,10,1,108,18,6,10,4,8,7,18,0,98,31,10,1,111,18,26,10,24,8,1,18,20,10,3,18,1,98,10,3,18,1,102,10,3,18,1,100,10,3,18,1,99,66,2,16,17],this.session_options,"o")),this._stft}static get rfft(){return this._rfft||(this._rfft=o([8,9,18,0,58,97,10,33,10,1,120,10,0,10,1,97,18,1,121,34,3,68,70,84,42,15,10,8,111,110,101,115,105,100,101,100,24,1,160,1,2,18,1,100,90,21,10,1,120,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,90,11,10,1,97,18,6,10,4,8,7,18,0,98,21,10,1,121,18,16,10,14,8,1,18,10,10,3,18,1,115,10,3,18,1,99,66,2,16,20],this.session_options,"y")),this._rfft}static get top_k(){return this._top_k||(this._top_k=o([8,10,18,0,58,73,10,18,10,1,120,10,1,107,18,1,118,18,1,105,34,4,84,111,112,75,18,1,116,90,9,10,1,120,18,4,10,2,8,1,90,15,10,1,107,18,10,10,8,8,7,18,4,10,2,8,1,98,9,10,1,118,18,4,10,2,8,1,98,9,10,1,105,18,4,10,2,8,7,66,2,16,21],this.session_options,["v","i"])),this._top_k}static get slice(){return this._slice||(this._slice=o([8,7,18,0,58,96,10,25,10,1,120,10,1,115,10,1,101,10,1,97,10,1,116,18,1,121,34,5,83,108,105,99,101,18,1,114,90,9,10,1,120,18,4,10,2,8,1,90,9,10,1,115,18,4,10,2,8,7,90,9,10,1,101,18,4,10,2,8,7,90,9,10,1,97,18,4,10,2,8,7,90,9,10,1,116,18,4,10,2,8,7,98,9,10,1,121,18,4,10,2,8,1,66,2,16,13],this.session_options,"y")),this._slice}}we(u,"session_options",{})},"./src/pipelines.js":(r,e,t)=>{t.r(e),t.d(e,{AudioClassificationPipeline:()=>Te,AutomaticSpeechRecognitionPipeline:()=>oe,DepthEstimationPipeline:()=>ke,DocumentQuestionAnsweringPipeline:()=>pe,FeatureExtractionPipeline:()=>ue,FillMaskPipeline:()=>U,ImageClassificationPipeline:()=>ge,ImageFeatureExtractionPipeline:()=>Pe,ImageSegmentationPipeline:()=>ve,ImageToImagePipeline:()=>le,ImageToTextPipeline:()=>re,ObjectDetectionPipeline:()=>Le,Pipeline:()=>G,QuestionAnsweringPipeline:()=>z,SummarizationPipeline:()=>I,Text2TextGenerationPipeline:()=>F,TextClassificationPipeline:()=>H,TextGenerationPipeline:()=>j,TextToAudioPipeline:()=>X,TokenClassificationPipeline:()=>B,TranslationPipeline:()=>k,ZeroShotAudioClassificationPipeline:()=>ie,ZeroShotClassificationPipeline:()=>ce,ZeroShotImageClassificationPipeline:()=>me,ZeroShotObjectDetectionPipeline:()=>$e,pipeline:()=>ae});var n=t("./src/tokenizers.js"),a=t("./src/models.js"),o=t("./src/models/auto/processing_auto.js");t("./src/base/processing_utils.js");var u=t("./src/utils/generic.js"),d=t("./src/utils/core.js"),c=t("./src/utils/maths.js"),h=t("./src/utils/audio.js"),_=t("./src/utils/tensor.js"),y=t("./src/utils/image.js");async function w(Ve){return Array.isArray(Ve)||(Ve=[Ve]),await Promise.all(Ve.map(he=>y.RawImage.read(he)))}async function M(Ve,he){return Array.isArray(Ve)||(Ve=[Ve]),await Promise.all(Ve.map(Se=>typeof Se=="string"||Se instanceof URL?(0,h.read_audio)(Se,he):Se instanceof Float64Array?new Float32Array(Se):Se))}function S(Ve,he){he&&(Ve=Ve.map(We=>We|0));const[Se,Ke,qe,Ge]=Ve;return{xmin:Se,ymin:Ke,xmax:qe,ymax:Ge}}class G extends u.Callable{constructor({task:he,model:Se,tokenizer:Ke=null,processor:qe=null}){super(),this.task=he,this.model=Se,this.tokenizer=Ke,this.processor=qe}async dispose(){await this.model.dispose()}}class H extends G{constructor(he){super(he)}async _call(he,{top_k:Se=1}={}){const Ke=this.tokenizer(he,{padding:!0,truncation:!0}),qe=await this.model(Ke),Ge=this.model.config.problem_type==="multi_label_classification"?ht=>ht.sigmoid():ht=>new _.Tensor("float32",(0,c.softmax)(ht.data),ht.dims),We=this.model.config.id2label,st=[];for(const ht of qe.logits){const mt=Ge(ht),ct=await(0,_.topk)(mt,Se),gt=ct[0].tolist(),de=ct[1].tolist().map((J,Ee)=>({label:We?We[J]:`LABEL_${J}`,score:gt[Ee]}));Se===1?st.push(...de):st.push(de)}return Array.isArray(he)||Se===1?st:st[0]}}class B extends G{constructor(he){super(he)}async _call(he,{ignore_labels:Se=["O"]}={}){const Ke=Array.isArray(he),qe=this.tokenizer(Ke?he:[he],{padding:!0,truncation:!0}),We=(await this.model(qe)).logits,st=this.model.config.id2label,ht=[];for(let mt=0;mt<We.dims[0];++mt){const ct=qe.input_ids[mt],gt=We[mt],W=[];for(let de=0;de<gt.dims[0];++de){const J=gt[de],Ee=(0,c.max)(J.data)[1],Fe=st?st[Ee]:`LABEL_${Ee}`;if(Se.includes(Fe))continue;const Ze=this.tokenizer.decode([ct[de].item()],{skip_special_tokens:!0});if(Ze==="")continue;const rt=(0,c.softmax)(J.data);W.push({entity:Fe,score:rt[Ee],index:de,word:Ze})}ht.push(W)}return Ke?ht:ht[0]}}class z extends G{constructor(he){super(he)}async _call(he,Se,{top_k:Ke=1}={}){const qe=this.tokenizer(he,{text_pair:Se,padding:!0,truncation:!0}),{start_logits:Ge,end_logits:We}=await this.model(qe),st=qe.input_ids.tolist(),ht=qe.attention_mask.tolist(),mt=this.tokenizer.all_special_ids,ct=[];for(let gt=0;gt<Ge.dims[0];++gt){const W=st[gt],de=W.findIndex(dt=>dt==this.tokenizer.sep_token_id);ht[gt].map((dt,bt)=>dt==1&&(bt===0||bt>de&&mt.findIndex(Ct=>Ct==W[bt])===-1));const J=Ge[gt].tolist(),Ee=We[gt].tolist();for(let dt=1;dt<J.length;++dt)(ht[gt]==0||dt<=de||mt.findIndex(bt=>bt==W[dt])!==-1)&&(J[dt]=-1/0,Ee[dt]=-1/0);const Fe=(0,c.softmax)(J).map((dt,bt)=>[dt,bt]),Ze=(0,c.softmax)(Ee).map((dt,bt)=>[dt,bt]);Fe[0][0]=0,Ze[0][0]=0;const rt=(0,d.product)(Fe,Ze).filter(dt=>dt[0][1]<=dt[1][1]).map(dt=>[dt[0][1],dt[1][1],dt[0][0]*dt[1][0]]).sort((dt,bt)=>bt[2]-dt[2]);for(let dt=0;dt<Math.min(rt.length,Ke);++dt){const[bt,Ct,Lt]=rt[dt],Nt=W.slice(bt,Ct+1),br=this.tokenizer.decode(Nt,{skip_special_tokens:!0});ct.push({answer:br,score:Lt})}}return Ke===1?ct[0]:ct}}class U extends G{constructor(he){super(he)}async _call(he,{top_k:Se=5}={}){const Ke=this.tokenizer(he,{padding:!0,truncation:!0}),{logits:qe}=await this.model(Ke),Ge=[],We=Ke.input_ids.tolist();for(let st=0;st<We.length;++st){const ht=We[st],mt=ht.findIndex(J=>J==this.tokenizer.mask_token_id);if(mt===-1)throw Error(`Mask token (${this.tokenizer.mask_token}) not found in text.`);const ct=qe[st][mt],gt=await(0,_.topk)(new _.Tensor("float32",(0,c.softmax)(ct.data),ct.dims),Se),W=gt[0].tolist(),de=gt[1].tolist();Ge.push(de.map((J,Ee)=>{const Fe=ht.slice();return Fe[mt]=J,{score:W[Ee],token:Number(J),token_str:this.tokenizer.decode([J]),sequence:this.tokenizer.decode(Fe,{skip_special_tokens:!0})}}))}return Array.isArray(he)?Ge:Ge[0]}}class F extends G{constructor(Se){super(Se);we(this,"_key","generated_text")}async _call(Se,Ke={}){Array.isArray(Se)||(Se=[Se]),this.model.config.prefix&&(Se=Se.map(mt=>this.model.config.prefix+mt));const qe=this.model.config.task_specific_params;qe&&qe[this.task]&&qe[this.task].prefix&&(Se=Se.map(mt=>qe[this.task].prefix+mt));const Ge=this.tokenizer,We={padding:!0,truncation:!0};let st;this instanceof k&&"_build_translation_inputs"in Ge?st=Ge._build_translation_inputs(Se,We,Ke):st=Ge(Se,We);const ht=await this.model.generate({...st,...Ke});return Ge.batch_decode(ht,{skip_special_tokens:!0}).map(mt=>({[this._key]:mt}))}}class I extends F{constructor(Se){super(Se);we(this,"_key","summary_text")}}class k extends F{constructor(Se){super(Se);we(this,"_key","translation_text")}}function $(Ve){return Array.isArray(Ve)&&Ve.every(he=>"role"in he&&"content"in he)}class j extends G{constructor(he){super(he)}async _call(he,Se={}){let Ke=!1,qe=!1,Ge;if(typeof he=="string")Ge=he=[he];else if(Array.isArray(he)&&he.every(de=>typeof de=="string"))Ke=!0,Ge=he;else{if($(he))he=[he];else if(Array.isArray(he)&&he.every($))Ke=!0;else throw new Error("Input must be a string, an array of strings, a Chat, or an array of Chats");qe=!0,Ge=he.map(de=>this.tokenizer.apply_chat_template(de,{tokenize:!1,add_generation_prompt:!0}))}const We=Se.add_special_tokens??!1,st=qe?!1:Se.return_full_text??!0;this.tokenizer.padding_side="left";const ht=this.tokenizer(Ge,{add_special_tokens:We,padding:!0,truncation:!0}),mt=await this.model.generate({...ht,...Se}),ct=this.tokenizer.batch_decode(mt,{skip_special_tokens:!0});let gt;!st&&ht.input_ids.dims.at(-1)>0&&(gt=this.tokenizer.batch_decode(ht.input_ids,{skip_special_tokens:!0}).map(de=>de.length));const W=Array.from({length:he.length},de=>[]);for(let de=0;de<ct.length;++de){const J=Math.floor(de/mt.dims[0]*he.length);gt&&(ct[de]=ct[de].slice(gt[J])),W[J].push({generated_text:qe?[...he[J],{role:"assistant",content:ct[de]}]:ct[de]})}return!Ke&&W.length===1?W[0]:W}}class ce extends G{constructor(he){super(he),this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([Se,Ke])=>[Se.toLowerCase(),Ke])),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(he,Se,{hypothesis_template:Ke="This example is {}.",multi_label:qe=!1}={}){const Ge=Array.isArray(he);Ge||(he=[he]),Array.isArray(Se)||(Se=[Se]);const We=Se.map(mt=>Ke.replace("{}",mt)),st=qe||Se.length===1,ht=[];for(const mt of he){const ct=[];for(const de of We){const J=this.tokenizer(mt,{text_pair:de,padding:!0,truncation:!0}),Ee=await this.model(J);st?ct.push([Ee.logits.data[this.contradiction_id],Ee.logits.data[this.entailment_id]]):ct.push(Ee.logits.data[this.entailment_id])}const W=(st?ct.map(de=>(0,c.softmax)(de)[1]):(0,c.softmax)(ct)).map((de,J)=>[de,J]).sort((de,J)=>J[0]-de[0]);ht.push({sequence:mt,labels:W.map(de=>Se[de[1]]),scores:W.map(de=>de[0])})}return Ge?ht:ht[0]}}class ue extends G{constructor(he){super(he)}async _call(he,{pooling:Se="none",normalize:Ke=!1,quantize:qe=!1,precision:Ge="binary"}={}){const We=this.tokenizer(he,{padding:!0,truncation:!0}),st=await this.model(We);let ht=st.last_hidden_state??st.logits??st.token_embeddings;if(Se!=="none")if(Se==="mean")ht=(0,_.mean_pooling)(ht,We.attention_mask);else if(Se==="cls")ht=ht.slice(null,0);else throw Error(`Pooling method '${Se}' not supported.`);return Ke&&(ht=ht.normalize(2,-1)),qe&&(ht=(0,_.quantize_embeddings)(ht,Ge)),ht}}class Pe extends G{constructor(he){super(he)}async _call(he,{pool:Se=null}={}){const Ke=await w(he),{pixel_values:qe}=await this.processor(Ke),Ge=await this.model({pixel_values:qe});let We;if(Se){if(!("pooler_output"in Ge))throw Error("No pooled output was returned. Make sure the model has a 'pooler' layer when using the 'pool' option.");We=Ge.pooler_output}else We=Ge.last_hidden_state??Ge.logits??Ge.image_embeds;return We}}class Te extends G{constructor(he){super(he)}async _call(he,{top_k:Se=5}={}){const Ke=this.processor.feature_extractor.config.sampling_rate,qe=await M(he,Ke),Ge=this.model.config.id2label,We=[];for(const st of qe){const ht=await this.processor(st),ct=(await this.model(ht)).logits[0],gt=await(0,_.topk)(new _.Tensor("float32",(0,c.softmax)(ct.data),ct.dims),Se),W=gt[0].tolist(),J=gt[1].tolist().map((Ee,Fe)=>({label:Ge?Ge[Ee]:`LABEL_${Ee}`,score:W[Fe]}));We.push(J)}return Array.isArray(he)?We:We[0]}}class ie extends G{constructor(he){super(he)}async _call(he,Se,{hypothesis_template:Ke="This is a sound of {}."}={}){const qe=!Array.isArray(he);qe&&(he=[he]);const Ge=Se.map(ct=>Ke.replace("{}",ct)),We=this.tokenizer(Ge,{padding:!0,truncation:!0}),st=this.processor.feature_extractor.config.sampling_rate,ht=await M(he,st),mt=[];for(const ct of ht){const gt=await this.processor(ct),W=await this.model({...We,...gt}),de=(0,c.softmax)(W.logits_per_audio.data);mt.push([...de].map((J,Ee)=>({score:J,label:Se[Ee]})))}return qe?mt[0]:mt}}class oe extends G{constructor(he){super(he)}async _call(he,Se={}){switch(this.model.config.model_type){case"whisper":return this._call_whisper(he,Se);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":return this._call_wav2vec2(he,Se);case"moonshine":return this._call_moonshine(he,Se);default:throw new Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(he,Se){Se.language&&console.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".'),Se.task&&console.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');const Ke=!Array.isArray(he);Ke&&(he=[he]);const qe=this.processor.feature_extractor.config.sampling_rate,Ge=await M(he,qe),We=[];for(const st of Ge){const ht=await this.processor(st),ct=(await this.model(ht)).logits[0],gt=[];for(const de of ct)gt.push((0,c.max)(de.data)[1]);const W=this.tokenizer.decode(gt);We.push({text:W})}return Ke?We[0]:We}async _call_whisper(he,Se){const Ke=Se.return_timestamps??!1,qe=Se.chunk_length_s??0,Ge=Se.force_full_sequences??!1;let We=Se.stride_length_s??null;const st={...Se};Ke==="word"&&(st.return_token_timestamps=!0,st.return_timestamps=!1);const ht=!Array.isArray(he);ht&&(he=[he]);const mt=this.processor.feature_extractor.config.chunk_length/this.model.config.max_source_positions,ct=this.processor.feature_extractor.config.hop_length,gt=this.processor.feature_extractor.config.sampling_rate,W=await M(he,gt),de=[];for(const J of W){let Ee=[];if(qe>0){if(We===null)We=qe/6;else if(qe<=We)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");const rt=gt*qe,dt=gt*We,bt=rt-2*dt;let Ct=0;for(;;){const Lt=Ct+rt,Nt=J.subarray(Ct,Lt),br=await this.processor(Nt),Rr=Ct===0,Yr=Lt>=J.length;if(Ee.push({stride:[Nt.length,Rr?0:dt,Yr?0:dt],input_features:br.input_features,is_last:Yr}),Yr)break;Ct+=bt}}else Ee=[{stride:[J.length,0,0],input_features:(await this.processor(J)).input_features,is_last:!0}];for(const rt of Ee){st.num_frames=Math.floor(rt.stride[0]/ct);const dt=await this.model.generate({inputs:rt.input_features,...st});Ke==="word"?(rt.tokens=dt.sequences.tolist()[0],rt.token_timestamps=dt.token_timestamps.tolist()[0].map(bt=>(0,c.round)(bt,2))):rt.tokens=dt[0].tolist(),rt.stride=rt.stride.map(bt=>bt/gt)}const[Fe,Ze]=this.tokenizer._decode_asr(Ee,{time_precision:mt,return_timestamps:Ke,force_full_sequences:Ge});de.push({text:Fe,...Ze})}return ht?de[0]:de}async _call_moonshine(he,Se){const Ke=!Array.isArray(he);Ke&&(he=[he]);const qe=this.processor.feature_extractor.config.sampling_rate,Ge=await M(he,qe),We=[];for(const st of Ge){const ht=await this.processor(st),mt=Math.floor(st.length/qe)*6,ct=await this.model.generate({max_new_tokens:mt,...Se,...ht}),gt=this.processor.batch_decode(ct,{skip_special_tokens:!0})[0];We.push({text:gt})}return Ke?We[0]:We}}class re extends G{constructor(he){super(he)}async _call(he,Se={}){const Ke=Array.isArray(he),qe=await w(he),{pixel_values:Ge}=await this.processor(qe),We=[];for(const st of Ge){st.dims=[1,...st.dims];const ht=await this.model.generate({inputs:st,...Se}),mt=this.tokenizer.batch_decode(ht,{skip_special_tokens:!0}).map(ct=>({generated_text:ct.trim()}));We.push(mt)}return Ke?We:We[0]}}class ge extends G{constructor(he){super(he)}async _call(he,{top_k:Se=5}={}){const Ke=await w(he),{pixel_values:qe}=await this.processor(Ke),Ge=await this.model({pixel_values:qe}),We=this.model.config.id2label,st=[];for(const ht of Ge.logits){const mt=await(0,_.topk)(new _.Tensor("float32",(0,c.softmax)(ht.data),ht.dims),Se),ct=mt[0].tolist(),W=mt[1].tolist().map((de,J)=>({label:We?We[de]:`LABEL_${de}`,score:ct[J]}));st.push(W)}return Array.isArray(he)?st:st[0]}}class ve extends G{constructor(he){super(he),this.subtasks_mapping={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"}}async _call(he,{threshold:Se=.5,mask_threshold:Ke=.5,overlap_mask_area_threshold:qe=.8,label_ids_to_fuse:Ge=null,target_sizes:We=null,subtask:st=null}={}){if(Array.isArray(he)&&he.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");const mt=await w(he),ct=mt.map(Ze=>[Ze.height,Ze.width]),{pixel_values:gt,pixel_mask:W}=await this.processor(mt),de=await this.model({pixel_values:gt,pixel_mask:W});let J=null;if(st!==null)J=this.subtasks_mapping[st];else for(let[Ze,rt]of Object.entries(this.subtasks_mapping))if(rt in this.processor.image_processor){J=this.processor.image_processor[rt].bind(this.processor.image_processor),st=Ze;break}const Ee=this.model.config.id2label,Fe=[];if(st==="panoptic"||st==="instance"){const Ze=J(de,Se,Ke,qe,Ge,We??ct)[0],rt=Ze.segmentation;for(const dt of Ze.segments_info){const bt=new Uint8ClampedArray(rt.data.length);for(let Lt=0;Lt<rt.data.length;++Lt)rt.data[Lt]===dt.id&&(bt[Lt]=255);const Ct=new y.RawImage(bt,rt.dims[1],rt.dims[0],1);Fe.push({score:dt.score,label:Ee[dt.label_id],mask:Ct})}}else if(st==="semantic"){const{segmentation:Ze,labels:rt}=J(de,We??ct)[0];for(const dt of rt){const bt=new Uint8ClampedArray(Ze.data.length);for(let Lt=0;Lt<Ze.data.length;++Lt)Ze.data[Lt]===dt&&(bt[Lt]=255);const Ct=new y.RawImage(bt,Ze.dims[1],Ze.dims[0],1);Fe.push({score:null,label:Ee[dt],mask:Ct})}}else throw Error(`Subtask ${st} not supported.`);return Fe}}class me extends G{constructor(he){super(he)}async _call(he,Se,{hypothesis_template:Ke="This is a photo of {}"}={}){const qe=Array.isArray(he),Ge=await w(he),We=Se.map(W=>Ke.replace("{}",W)),st=this.tokenizer(We,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:ht}=await this.processor(Ge),mt=await this.model({...st,pixel_values:ht}),ct=this.model.config.model_type==="siglip"?W=>W.sigmoid().data:W=>(0,c.softmax)(W.data),gt=[];for(const W of mt.logits_per_image){const J=[...ct(W)].map((Ee,Fe)=>({score:Ee,label:Se[Fe]}));J.sort((Ee,Fe)=>Fe.score-Ee.score),gt.push(J)}return qe?gt:gt[0]}}class Le extends G{constructor(he){super(he)}async _call(he,{threshold:Se=.9,percentage:Ke=!1}={}){const qe=Array.isArray(he);if(qe&&he.length!==1)throw Error("Object detection pipeline currently only supports a batch size of 1.");const Ge=await w(he),We=Ke?null:Ge.map(de=>[de.height,de.width]),{pixel_values:st,pixel_mask:ht}=await this.processor(Ge),mt=await this.model({pixel_values:st,pixel_mask:ht}),ct=this.processor.image_processor.post_process_object_detection(mt,Se,We),gt=this.model.config.id2label,W=ct.map(de=>de.boxes.map((J,Ee)=>({score:de.scores[Ee],label:gt[de.classes[Ee]],box:S(J,!Ke)})));return qe?W:W[0]}}class $e extends G{constructor(he){super(he)}async _call(he,Se,{threshold:Ke=.1,top_k:qe=null,percentage:Ge=!1}={}){const We=Array.isArray(he),st=await w(he),ht=this.tokenizer(Se,{padding:!0,truncation:!0}),mt=await this.processor(st),ct=[];for(let gt=0;gt<st.length;++gt){const W=st[gt],de=Ge?null:[[W.height,W.width]],J=mt.pixel_values[gt].unsqueeze_(0),Ee=await this.model({...ht,pixel_values:J});let Fe;if("post_process_grounded_object_detection"in this.processor){const Ze=this.processor.post_process_grounded_object_detection(Ee,ht.input_ids,{box_threshold:Ke,text_threshold:Ke,target_sizes:de})[0];Fe=Ze.boxes.map((rt,dt)=>({score:Ze.scores[dt],label:Ze.labels[dt],box:S(rt,!Ge)}))}else{const Ze=this.processor.image_processor.post_process_object_detection(Ee,Ke,de,!0)[0];Fe=Ze.boxes.map((rt,dt)=>({score:Ze.scores[dt],label:Se[Ze.classes[dt]],box:S(rt,!Ge)}))}Fe.sort((Ze,rt)=>rt.score-Ze.score),qe!==null&&(Fe=Fe.slice(0,qe)),ct.push(Fe)}return We?ct:ct[0]}}class pe extends G{constructor(he){super(he)}async _call(he,Se,Ke={}){const qe=(await w(he))[0],{pixel_values:Ge}=await this.processor(qe),We=`<s_docvqa><s_question>${Se}</s_question><s_answer>`,st=this.tokenizer(We,{add_special_tokens:!1,padding:!0,truncation:!0}).input_ids,ht=await this.model.generate({inputs:Ge,max_length:this.model.config.decoder.max_position_embeddings,decoder_input_ids:st,...Ke}),ct=this.tokenizer.batch_decode(ht)[0].match(/<s_answer>(.*?)<\/s_answer>/);let gt=null;return ct&&ct.length>=2&&(gt=ct[1].trim()),[{answer:gt}]}}class X extends G{constructor(Se){super(Se);we(this,"DEFAULT_VOCODER_ID","Xenova/speecht5_hifigan");this.vocoder=Se.vocoder??null}async _call(Se,{speaker_embeddings:Ke=null}={}){return this.processor?this._call_text_to_spectrogram(Se,{speaker_embeddings:Ke}):this._call_text_to_waveform(Se)}async _call_text_to_waveform(Se){const Ke=this.tokenizer(Se,{padding:!0,truncation:!0}),{waveform:qe}=await this.model(Ke),Ge=this.model.config.sampling_rate;return new h.RawAudio(qe.data,Ge)}async _call_text_to_spectrogram(Se,{speaker_embeddings:Ke}){if(this.vocoder||(console.log("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await a.AutoModel.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"})),(typeof Ke=="string"||Ke instanceof URL)&&(Ke=new Float32Array(await(await fetch(Ke)).arrayBuffer())),Ke instanceof Float32Array)Ke=new _.Tensor("float32",Ke,[1,Ke.length]);else if(!(Ke instanceof _.Tensor))throw new Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");const{input_ids:qe}=this.tokenizer(Se,{padding:!0,truncation:!0}),{waveform:Ge}=await this.model.generate_speech(qe,Ke,{vocoder:this.vocoder}),We=this.processor.feature_extractor.config.sampling_rate;return new h.RawAudio(Ge.data,We)}}class le extends G{constructor(he){super(he)}async _call(he){const Se=await w(he),Ke=await this.processor(Se),qe=await this.model(Ke),Ge=[];for(const We of qe.reconstruction){const st=We.squeeze().clamp_(0,1).mul_(255).round_().to("uint8");Ge.push(y.RawImage.fromTensor(st))}return Ge.length>1?Ge:Ge[0]}}class ke extends G{constructor(he){super(he)}async _call(he){const Se=await w(he),Ke=await this.processor(Se),{predicted_depth:qe}=await this.model(Ke),Ge=[];for(let We=0;We<Se.length;++We){const st=qe[We],[ht,mt]=st.dims.slice(-2),[ct,gt]=Se[We].size,W=(await(0,_.interpolate_4d)(st.view(1,1,ht,mt),{size:[gt,ct],mode:"bilinear"})).view(gt,ct),de=W.min().item(),J=W.max().item(),Ee=W.sub(de).div_(J-de).mul_(255).to("uint8").unsqueeze(0),Fe=y.RawImage.fromTensor(Ee);Ge.push({predicted_depth:W,depth:Fe})}return Ge.length>1?Ge:Ge[0]}}const Re=Object.freeze({"text-classification":{tokenizer:n.AutoTokenizer,pipeline:H,model:a.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-finetuned-sst-2-english"},type:"text"},"token-classification":{tokenizer:n.AutoTokenizer,pipeline:B,model:a.AutoModelForTokenClassification,default:{model:"Xenova/bert-base-multilingual-cased-ner-hrl"},type:"text"},"question-answering":{tokenizer:n.AutoTokenizer,pipeline:z,model:a.AutoModelForQuestionAnswering,default:{model:"Xenova/distilbert-base-cased-distilled-squad"},type:"text"},"fill-mask":{tokenizer:n.AutoTokenizer,pipeline:U,model:a.AutoModelForMaskedLM,default:{model:"Xenova/bert-base-uncased"},type:"text"},summarization:{tokenizer:n.AutoTokenizer,pipeline:I,model:a.AutoModelForSeq2SeqLM,default:{model:"Xenova/distilbart-cnn-6-6"},type:"text"},translation:{tokenizer:n.AutoTokenizer,pipeline:k,model:a.AutoModelForSeq2SeqLM,default:{model:"Xenova/t5-small"},type:"text"},"text2text-generation":{tokenizer:n.AutoTokenizer,pipeline:F,model:a.AutoModelForSeq2SeqLM,default:{model:"Xenova/flan-t5-small"},type:"text"},"text-generation":{tokenizer:n.AutoTokenizer,pipeline:j,model:a.AutoModelForCausalLM,default:{model:"Xenova/gpt2"},type:"text"},"zero-shot-classification":{tokenizer:n.AutoTokenizer,pipeline:ce,model:a.AutoModelForSequenceClassification,default:{model:"Xenova/distilbert-base-uncased-mnli"},type:"text"},"audio-classification":{pipeline:Te,model:a.AutoModelForAudioClassification,processor:o.AutoProcessor,default:{model:"Xenova/wav2vec2-base-superb-ks"},type:"audio"},"zero-shot-audio-classification":{tokenizer:n.AutoTokenizer,pipeline:ie,model:a.AutoModel,processor:o.AutoProcessor,default:{model:"Xenova/clap-htsat-unfused"},type:"multimodal"},"automatic-speech-recognition":{tokenizer:n.AutoTokenizer,pipeline:oe,model:[a.AutoModelForSpeechSeq2Seq,a.AutoModelForCTC],processor:o.AutoProcessor,default:{model:"Xenova/whisper-tiny.en"},type:"multimodal"},"text-to-audio":{tokenizer:n.AutoTokenizer,pipeline:X,model:[a.AutoModelForTextToWaveform,a.AutoModelForTextToSpectrogram],processor:[o.AutoProcessor,null],default:{model:"Xenova/speecht5_tts"},type:"text"},"image-to-text":{tokenizer:n.AutoTokenizer,pipeline:re,model:a.AutoModelForVision2Seq,processor:o.AutoProcessor,default:{model:"Xenova/vit-gpt2-image-captioning"},type:"multimodal"},"image-classification":{pipeline:ge,model:a.AutoModelForImageClassification,processor:o.AutoProcessor,default:{model:"Xenova/vit-base-patch16-224"},type:"multimodal"},"image-segmentation":{pipeline:ve,model:[a.AutoModelForImageSegmentation,a.AutoModelForSemanticSegmentation,a.AutoModelForUniversalSegmentation],processor:o.AutoProcessor,default:{model:"Xenova/detr-resnet-50-panoptic"},type:"multimodal"},"zero-shot-image-classification":{tokenizer:n.AutoTokenizer,pipeline:me,model:a.AutoModel,processor:o.AutoProcessor,default:{model:"Xenova/clip-vit-base-patch32"},type:"multimodal"},"object-detection":{pipeline:Le,model:a.AutoModelForObjectDetection,processor:o.AutoProcessor,default:{model:"Xenova/detr-resnet-50"},type:"multimodal"},"zero-shot-object-detection":{tokenizer:n.AutoTokenizer,pipeline:$e,model:a.AutoModelForZeroShotObjectDetection,processor:o.AutoProcessor,default:{model:"Xenova/owlvit-base-patch32"},type:"multimodal"},"document-question-answering":{tokenizer:n.AutoTokenizer,pipeline:pe,model:a.AutoModelForDocumentQuestionAnswering,processor:o.AutoProcessor,default:{model:"Xenova/donut-base-finetuned-docvqa"},type:"multimodal"},"image-to-image":{pipeline:le,model:a.AutoModelForImageToImage,processor:o.AutoProcessor,default:{model:"Xenova/swin2SR-classical-sr-x2-64"},type:"image"},"depth-estimation":{pipeline:ke,model:a.AutoModelForDepthEstimation,processor:o.AutoProcessor,default:{model:"Xenova/dpt-large"},type:"image"},"feature-extraction":{tokenizer:n.AutoTokenizer,pipeline:ue,model:a.AutoModel,default:{model:"Xenova/all-MiniLM-L6-v2"},type:"text"},"image-feature-extraction":{processor:o.AutoProcessor,pipeline:Pe,model:[a.AutoModelForImageFeatureExtraction,a.AutoModel],default:{model:"Xenova/vit-base-patch16-224-in21k"},type:"image"}}),Xe=Object.freeze({"sentiment-analysis":"text-classification",ner:"token-classification",asr:"automatic-speech-recognition","text-to-speech":"text-to-audio",embeddings:"feature-extraction"});async function ae(Ve,he=null,{progress_callback:Se=null,config:Ke=null,cache_dir:qe=null,local_files_only:Ge=!1,revision:We="main",device:st=null,dtype:ht=null,model_file_name:mt=null,session_options:ct={}}={}){Ve=Xe[Ve]??Ve;const gt=Re[Ve.split("_",1)[0]];if(!gt)throw Error(`Unsupported pipeline: ${Ve}. Must be one of [${Object.keys(Re)}]`);he||(he=gt.default.model,console.log(`No model specified. Using default model: "${he}".`));const W={progress_callback:Se,config:Ke,cache_dir:qe,local_files_only:Ge,revision:We,device:st,dtype:ht,model_file_name:mt,session_options:ct},de=new Map([["tokenizer",gt.tokenizer],["model",gt.model],["processor",gt.processor]]),J=await He(de,he,W);J.task=Ve,(0,d.dispatchCallback)(Se,{status:"ready",task:Ve,model:he});const Ee=gt.pipeline;return new Ee(J)}async function He(Ve,he,Se){const Ke=Object.create(null),qe=[];for(const[Ge,We]of Ve.entries()){if(!We)continue;let st;Array.isArray(We)?st=new Promise(async(ht,mt)=>{var gt,W;let ct;for(const de of We){if(de===null){ht(null);return}try{ht(await de.from_pretrained(he,Se));return}catch(J){if((gt=J.message)!=null&&gt.includes("Unsupported model type"))ct=J;else if((W=J.message)!=null&&W.includes("Could not locate file"))ct=J;else{mt(J);return}}}mt(ct)}):st=We.from_pretrained(he,Se),Ke[Ge]=st,qe.push(st)}await Promise.all(qe);for(const[Ge,We]of Object.entries(Ke))Ke[Ge]=await We;return Ke}},"./src/tokenizers.js":(r,e,t)=>{t.r(e),t.d(e,{AlbertTokenizer:()=>Ts,AutoTokenizer:()=>Tr,BartTokenizer:()=>Ps,BertTokenizer:()=>sa,BlenderbotSmallTokenizer:()=>Xa,BlenderbotTokenizer:()=>Ya,BloomTokenizer:()=>ps,CLIPTokenizer:()=>Sa,CamembertTokenizer:()=>ot,CodeGenTokenizer:()=>Ca,CodeLlamaTokenizer:()=>Bs,CohereTokenizer:()=>Ia,ConvBertTokenizer:()=>Fs,DebertaTokenizer:()=>Kn,DebertaV2Tokenizer:()=>ia,DistilBertTokenizer:()=>jn,ElectraTokenizer:()=>Ut,EsmTokenizer:()=>js,FalconTokenizer:()=>Ka,GPT2Tokenizer:()=>Ds,GPTNeoXTokenizer:()=>qa,GemmaTokenizer:()=>Oi,Grok1Tokenizer:()=>zs,HerbertTokenizer:()=>Ms,LlamaTokenizer:()=>Ma,M2M100Tokenizer:()=>Pa,MBart50Tokenizer:()=>zn,MBartTokenizer:()=>Dr,MPNetTokenizer:()=>Ha,MarianTokenizer:()=>Wt,MgpstrTokenizer:()=>ei,MobileBertTokenizer:()=>xs,NllbTokenizer:()=>Un,NougatTokenizer:()=>Us,PreTrainedTokenizer:()=>qt,Qwen2Tokenizer:()=>Za,RoFormerTokenizer:()=>Ns,RobertaTokenizer:()=>en,SiglipTokenizer:()=>Aa,SpeechT5Tokenizer:()=>Qa,SqueezeBertTokenizer:()=>aa,T5Tokenizer:()=>pn,TokenizerModel:()=>Pe,VitsTokenizer:()=>Ja,Wav2Vec2CTCTokenizer:()=>ka,WhisperTokenizer:()=>oa,XLMRobertaTokenizer:()=>$i,XLMTokenizer:()=>At,is_chinese_char:()=>U});var n=t("./src/utils/generic.js"),a=t("./src/utils/core.js"),o=t("./src/utils/hub.js"),u=t("./src/utils/maths.js"),d=t("./src/utils/tensor.js"),c=t("./src/utils/data-structures.js"),h=t("./node_modules/@huggingface/jinja/dist/index.js"),_=t("./src/models/whisper/common_whisper.js");async function y(Ie,N){const ee=await Promise.all([(0,o.getModelJSON)(Ie,"tokenizer.json",!0,N),(0,o.getModelJSON)(Ie,"tokenizer_config.json",!0,N)]);return N.legacy!==null&&(ee[1].legacy=N.legacy),ee}function w(Ie,N){const ee=[];let fe=0;for(const Ae of Ie.matchAll(N)){const Oe=Ae[0];fe<Ae.index&&ee.push(Ie.slice(fe,Ae.index)),Oe.length>0&&ee.push(Oe),fe=Ae.index+Oe.length}return fe<Ie.length&&ee.push(Ie.slice(fe)),ee}function M(Ie,N=!0){if(Ie.Regex!==void 0){let ee=Ie.Regex.replace(/\\([#&~])/g,"$1");for(const[fe,Ae]of ce)ee=ee.replaceAll(fe,Ae);return new RegExp(ee,"gu")}else if(Ie.String!==void 0){const ee=(0,a.escapeRegExp)(Ie.String);return new RegExp(N?ee:`(${ee})`,"gu")}else return console.warn("Unknown pattern type:",Ie),null}function S(Ie){return new Map(Object.entries(Ie))}function G(Ie){const N=Ie.dims;switch(N.length){case 1:return Ie.tolist();case 2:if(N[0]!==1)throw new Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return Ie.tolist()[0];default:throw new Error(`Expected tensor to have 1-2 dimensions, got ${N.length}.`)}}function H(Ie){return Ie.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function B(Ie){return Ie.replace(new RegExp("\\p{M}","gu"),"")}function z(Ie){return B(Ie.toLowerCase())}function U(Ie){return Ie>=19968&&Ie<=40959||Ie>=13312&&Ie<=19903||Ie>=131072&&Ie<=173791||Ie>=173824&&Ie<=177983||Ie>=177984&&Ie<=178207||Ie>=178208&&Ie<=183983||Ie>=63744&&Ie<=64255||Ie>=194560&&Ie<=195103}function F(Ie,N,ee){const fe=[];let Ae=0;for(;Ae<Ie.length;){if(fe.push(Ie[Ae]),(N.get(Ie[Ae])??ee)!==ee){++Ae;continue}for(;++Ae<Ie.length&&(N.get(Ie[Ae])??ee)===ee;)N.get(fe.at(-1))!==ee&&(fe[fe.length-1]+=Ie[Ae])}return fe}function I(Ie){return Ie.match(/\S+/g)||[]}const k="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",$=new RegExp(`^[${k}]+$`,"gu"),j=".,!?…。，、।۔،",ce=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"],[` ?[^(\\s|[${j}])]+`,` ?[^\\s${j}]+`]]);class ue{constructor(N){this.content=N.content,this.id=N.id,this.single_word=N.single_word??!1,this.lstrip=N.lstrip??!1,this.rstrip=N.rstrip??!1,this.special=N.special??!1,this.normalized=N.normalized??null}}class Pe extends n.Callable{constructor(N){super(),this.config=N,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(N,...ee){switch(N.type){case"WordPiece":return new Te(N);case"Unigram":return new ie(N,...ee);case"BPE":return new ge(N);default:if(N.vocab)return Array.isArray(N.vocab)?new ie(N,...ee):new ve(N,...ee);throw new Error(`Unknown TokenizerModel type: ${N.type}`)}}_call(N){return N=this.encode(N),this.fuse_unk&&(N=F(N,this.tokens_to_ids,this.unk_token_id)),N}encode(N){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(N){return N.map(ee=>this.tokens_to_ids.get(ee)??this.unk_token_id)}convert_ids_to_tokens(N){return N.map(ee=>this.vocab[ee]??this.unk_token)}}class Te extends Pe{constructor(N){super(N),this.tokens_to_ids=S(N.vocab),this.unk_token_id=this.tokens_to_ids.get(N.unk_token),this.unk_token=N.unk_token,this.max_input_chars_per_word=N.max_input_chars_per_word??100,this.vocab=new Array(this.tokens_to_ids.size);for(const[ee,fe]of this.tokens_to_ids)this.vocab[fe]=ee}encode(N){const ee=[];for(const fe of N){const Ae=[...fe];if(Ae.length>this.max_input_chars_per_word){ee.push(this.unk_token);continue}let Oe=!1,Je=0;const _t=[];for(;Je<Ae.length;){let Et=Ae.length,yt=null;for(;Je<Et;){let St=Ae.slice(Je,Et).join("");if(Je>0&&(St=this.config.continuing_subword_prefix+St),this.tokens_to_ids.has(St)){yt=St;break}--Et}if(yt===null){Oe=!0;break}_t.push(yt),Je=Et}Oe?ee.push(this.unk_token):ee.push(..._t)}return ee}}class ie extends Pe{constructor(N,ee){super(N);const fe=N.vocab.length;this.vocab=new Array(fe),this.scores=new Array(fe);for(let Ae=0;Ae<fe;++Ae)[this.vocab[Ae],this.scores[Ae]]=N.vocab[Ae];this.unk_token_id=N.unk_id,this.unk_token=this.vocab[N.unk_id],this.tokens_to_ids=new Map(this.vocab.map((Ae,Oe)=>[Ae,Oe])),this.bos_token=" ",this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=ee.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.unk_token=this.vocab[this.unk_token_id],this.minScore=(0,u.min)(this.scores)[0],this.unk_score=this.minScore-10,this.scores[this.unk_token_id]=this.unk_score,this.trie=new c.CharTrie,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(N){const ee=N.chars,fe=1;let Ae=0;for(;Ae<ee.length;){let Oe=!1;const Je=ee.slice(Ae).join(""),_t=this.trie.commonPrefixSearch(Je);for(const Et of _t){const yt=this.tokens_to_ids.get(Et),St=this.scores[yt],tr=(0,a.len)(Et);N.insert(Ae,tr,St,yt),!Oe&&tr===fe&&(Oe=!0)}Oe||N.insert(Ae,fe,this.unk_score,this.unk_token_id),Ae+=fe}}tokenize(N){const ee=new c.TokenLattice(N,this.bos_token_id,this.eos_token_id);return this.populateNodes(ee),ee.tokens()}encode(N){const ee=[];for(const fe of N){const Ae=this.tokenize(fe);ee.push(...Ae)}return ee}}const oe=(()=>{const Ie=[...Array.from({length:94},(Ae,Oe)=>Oe+33),...Array.from({length:12},(Ae,Oe)=>Oe+161),...Array.from({length:82},(Ae,Oe)=>Oe+174)],N=Ie.slice();let ee=0;for(let Ae=0;Ae<256;++Ae)Ie.includes(Ae)||(Ie.push(Ae),N.push(256+ee),ee+=1);const fe=N.map(Ae=>String.fromCharCode(Ae));return Object.fromEntries(Ie.map((Ae,Oe)=>[Ae,fe[Oe]]))})(),re=(0,a.reverseDictionary)(oe);class ge extends Pe{constructor(N){super(N),this.tokens_to_ids=S(N.vocab),this.unk_token_id=this.tokens_to_ids.get(N.unk_token),this.unk_token=N.unk_token,this.vocab=new Array(this.tokens_to_ids.size);for(const[fe,Ae]of this.tokens_to_ids)this.vocab[Ae]=fe;const ee=Array.isArray(N.merges[0]);this.merges=ee?N.merges:N.merges.map(fe=>fe.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((fe,Ae)=>[JSON.stringify(fe),Ae])),this.end_of_word_suffix=N.end_of_word_suffix,this.continuing_subword_suffix=N.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(N){if(N.length===0)return[];const ee=this.cache.get(N);if(ee!==void 0)return ee;const fe=Array.from(N);this.end_of_word_suffix&&(fe[fe.length-1]+=this.end_of_word_suffix);let Ae=[];if(fe.length>1){const Oe=new c.PriorityQueue((Et,yt)=>Et.score<yt.score);let Je={token:fe[0],bias:0,prev:null,next:null},_t=Je;for(let Et=1;Et<fe.length;++Et){const yt={bias:Et/fe.length,token:fe[Et],prev:_t,next:null};_t.next=yt,this._add_node(Oe,_t),_t=yt}for(;!Oe.isEmpty();){const Et=Oe.pop();if(Et.deleted||!Et.next||Et.next.deleted)continue;if(Et.deleted=!0,Et.next.deleted=!0,Et.prev){const St={...Et.prev};Et.prev.deleted=!0,Et.prev=St,St.prev?St.prev.next=St:Je=St}const yt={token:Et.token+Et.next.token,bias:Et.bias,prev:Et.prev,next:Et.next.next};yt.prev?(yt.prev.next=yt,this._add_node(Oe,yt.prev)):Je=yt,yt.next&&(yt.next.prev=yt,this._add_node(Oe,yt))}for(let Et=Je;Et!==null;Et=Et.next)Ae.push(Et.token)}else Ae=fe;if(this.continuing_subword_suffix)for(let Oe=0;Oe<Ae.length-1;++Oe)Ae[Oe]+=this.continuing_subword_suffix;return this.cache.set(N,Ae),Ae}_add_node(N,ee){const fe=this.bpe_ranks.get(JSON.stringify([ee.token,ee.next.token]));fe!==void 0&&(ee.score=fe+ee.bias,N.push(ee))}encode(N){const ee=[];for(const fe of N){if(this.ignore_merges&&this.tokens_to_ids.has(fe)){ee.push(fe);continue}const Ae=this.bpe(fe);for(const Oe of Ae)if(this.tokens_to_ids.has(Oe))ee.push(Oe);else if(this.byte_fallback){const Je=Array.from(this.text_encoder.encode(Oe)).map(_t=>`<0x${_t.toString(16).toUpperCase().padStart(2,"0")}>`);Je.every(_t=>this.tokens_to_ids.has(_t))?ee.push(...Je):ee.push(this.unk_token)}else ee.push(this.unk_token)}return ee}}class ve extends Pe{constructor(N,ee){super(N),this.tokens_to_ids=S(ee.target_lang?N.vocab[ee.target_lang]:N.vocab),this.bos_token=ee.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=ee.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=ee.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=ee.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[fe,Ae]of this.tokens_to_ids)this.vocab[Ae]=fe}encode(N){return N}}class me extends n.Callable{constructor(N){super(),this.config=N}static fromConfig(N){if(N===null)return null;switch(N.type){case"BertNormalizer":return new He(N);case"Precompiled":return new Rr(N);case"Sequence":return new ae(N);case"Replace":return new Le(N);case"NFC":return new $e(N);case"NFKC":return new pe(N);case"NFKD":return new X(N);case"Strip":return new le(N);case"StripAccents":return new ke(N);case"Lowercase":return new Re(N);case"Prepend":return new Xe(N);default:throw new Error(`Unknown Normalizer type: ${N.type}`)}}normalize(N){throw Error("normalize should be implemented in subclass.")}_call(N){return this.normalize(N)}}class Le extends me{normalize(N){const ee=M(this.config.pattern);return ee===null?N:N.replaceAll(ee,this.config.content)}}class $e extends me{normalize(N){return N=N.normalize("NFC"),N}}class pe extends me{normalize(N){return N=N.normalize("NFKC"),N}}class X extends me{normalize(N){return N=N.normalize("NFKD"),N}}class le extends me{normalize(N){return this.config.strip_left&&this.config.strip_right?N=N.trim():(this.config.strip_left&&(N=N.trimStart()),this.config.strip_right&&(N=N.trimEnd())),N}}class ke extends me{normalize(N){return N=B(N),N}}class Re extends me{normalize(N){return N=N.toLowerCase(),N}}class Xe extends me{normalize(N){return N=this.config.prepend+N,N}}class ae extends me{constructor(N){super(N),this.normalizers=N.normalizers.map(ee=>me.fromConfig(ee))}normalize(N){return this.normalizers.reduce((ee,fe)=>fe.normalize(ee),N)}}class He extends me{_tokenize_chinese_chars(N){const ee=[];for(let fe=0;fe<N.length;++fe){const Ae=N[fe],Oe=Ae.charCodeAt(0);U(Oe)?(ee.push(" "),ee.push(Ae),ee.push(" ")):ee.push(Ae)}return ee.join("")}stripAccents(N){return N.normalize("NFD").replace(new RegExp("\\p{Mn}","gu"),"")}_is_control(N){switch(N){case"	":case`
`:case"\r":return!1;default:return new RegExp("^\\p{Cc}|\\p{Cf}|\\p{Co}|\\p{Cs}$","u").test(N)}}_clean_text(N){const ee=[];for(const fe of N){const Ae=fe.charCodeAt(0);Ae===0||Ae===65533||this._is_control(fe)||(/^\s$/.test(fe)?ee.push(" "):ee.push(fe))}return ee.join("")}normalize(N){return this.config.clean_text&&(N=this._clean_text(N)),this.config.handle_chinese_chars&&(N=this._tokenize_chinese_chars(N)),this.config.lowercase?(N=N.toLowerCase(),this.config.strip_accents!==!1&&(N=this.stripAccents(N))):this.config.strip_accents&&(N=this.stripAccents(N)),N}}class Ve extends n.Callable{static fromConfig(N){if(N===null)return null;switch(N.type){case"BertPreTokenizer":return new he(N);case"Sequence":return new Yr(N);case"Whitespace":return new nn(N);case"WhitespaceSplit":return new $n(N);case"Metaspace":return new Nt(N);case"ByteLevel":return new Se(N);case"Split":return new Ke(N);case"Punctuation":return new qe(N);case"Digits":return new Ge(N);case"Replace":return new Es(N);default:throw new Error(`Unknown PreTokenizer type: ${N.type}`)}}pre_tokenize_text(N,ee){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(N,ee){return(Array.isArray(N)?N.map(fe=>this.pre_tokenize_text(fe,ee)):this.pre_tokenize_text(N,ee)).flat()}_call(N,ee){return this.pre_tokenize(N,ee)}}class he extends Ve{constructor(N){super(),this.pattern=new RegExp(`[^\\s${k}]+|[${k}]`,"gu")}pre_tokenize_text(N,ee){return N.trim().match(this.pattern)||[]}}class Se extends Ve{constructor(N){super(),this.config=N,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=new RegExp("'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)|\\s+","gu"),this.byte_encoder=oe,this.text_encoder=new TextEncoder}pre_tokenize_text(N,ee){return this.add_prefix_space&&!N.startsWith(" ")&&(N=" "+N),(this.use_regex?N.match(this.pattern)||[]:[N]).map(Ae=>Array.from(this.text_encoder.encode(Ae),Oe=>this.byte_encoder[Oe]).join(""))}}class Ke extends Ve{constructor(N){super(),this.config=N,this.pattern=M(this.config.pattern,this.config.invert)}pre_tokenize_text(N,ee){var fe;return this.pattern===null?[]:this.config.invert?N.match(this.pattern)||[]:((fe=this.config.behavior)==null?void 0:fe.toLowerCase())==="removed"?N.split(this.pattern).filter(Ae=>Ae):w(N,this.pattern)}}class qe extends Ve{constructor(N){super(),this.config=N,this.pattern=new RegExp(`[^${k}]+|[${k}]+`,"gu")}pre_tokenize_text(N,ee){return N.match(this.pattern)||[]}}class Ge extends Ve{constructor(N){super(),this.config=N;const ee=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=new RegExp(ee,"gu")}pre_tokenize_text(N,ee){return N.match(this.pattern)||[]}}class We extends n.Callable{constructor(N){super(),this.config=N}static fromConfig(N){if(N===null)return null;switch(N.type){case"TemplateProcessing":return new mt(N);case"ByteLevel":return new ct(N);case"RobertaProcessing":return new ht(N);case"BertProcessing":return new st(N);case"Sequence":return new gt(N);default:throw new Error(`Unknown PostProcessor type: ${N.type}`)}}post_process(N,...ee){throw Error("post_process should be implemented in subclass.")}_call(N,...ee){return this.post_process(N,...ee)}}class st extends We{constructor(N){super(N),this.cls=N.cls[0],this.sep=N.sep[0]}post_process(N,ee=null,{add_special_tokens:fe=!0}={}){fe&&(N=(0,a.mergeArrays)([this.cls],N,[this.sep]));let Ae=new Array(N.length).fill(0);if(ee!==null){const Oe=fe&&this instanceof ht?[this.sep]:[],Je=fe?[this.sep]:[];N=(0,a.mergeArrays)(N,Oe,ee,Je),Ae=(0,a.mergeArrays)(Ae,new Array(ee.length+Oe.length+Je.length).fill(1))}return{tokens:N,token_type_ids:Ae}}}class ht extends st{}class mt extends We{constructor(N){super(N),this.single=N.single,this.pair=N.pair}post_process(N,ee=null,{add_special_tokens:fe=!0}={}){const Ae=ee===null?this.single:this.pair;let Oe=[],Je=[];for(const _t of Ae)"SpecialToken"in _t?fe&&(Oe.push(_t.SpecialToken.id),Je.push(_t.SpecialToken.type_id)):"Sequence"in _t&&(_t.Sequence.id==="A"?(Oe=(0,a.mergeArrays)(Oe,N),Je=(0,a.mergeArrays)(Je,new Array(N.length).fill(_t.Sequence.type_id))):_t.Sequence.id==="B"&&(Oe=(0,a.mergeArrays)(Oe,ee),Je=(0,a.mergeArrays)(Je,new Array(ee.length).fill(_t.Sequence.type_id))));return{tokens:Oe,token_type_ids:Je}}}class ct extends We{post_process(N,ee=null){return ee&&(N=(0,a.mergeArrays)(N,ee)),{tokens:N}}}class gt extends We{constructor(N){super(N),this.processors=N.processors.map(ee=>We.fromConfig(ee))}post_process(N,ee=null,fe={}){let Ae;for(const Oe of this.processors)if(Oe instanceof ct)N=Oe.post_process(N).tokens,ee&&(ee=Oe.post_process(ee).tokens);else{const Je=Oe.post_process(N,ee,fe);N=Je.tokens,Ae=Je.token_type_ids}return{tokens:N,token_type_ids:Ae}}}class W extends n.Callable{constructor(N){super(),this.config=N,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=N.trim_offsets}static fromConfig(N){if(N===null)return null;switch(N.type){case"WordPiece":return new Ze(N);case"Metaspace":return new br(N);case"ByteLevel":return new rt(N);case"Replace":return new de(N);case"ByteFallback":return new J(N);case"Fuse":return new Ee(N);case"Strip":return new Fe(N);case"Sequence":return new bt(N);case"CTC":return new dt(N);case"BPEDecoder":return new Ct(N);default:throw new Error(`Unknown Decoder type: ${N.type}`)}}_call(N){return this.decode(N)}decode(N){return this.decode_chain(N).join("")}decode_chain(N){throw Error("`decode_chain` should be implemented in subclass.")}}class de extends W{decode_chain(N){const ee=M(this.config.pattern);return ee===null?N:N.map(fe=>fe.replaceAll(ee,this.config.content))}}class J extends W{constructor(N){super(N),this.text_decoder=new TextDecoder}decode_chain(N){const ee=[];let fe=[];for(const Ae of N){let Oe=null;if(Ae.length===6&&Ae.startsWith("<0x")&&Ae.endsWith(">")){const Je=parseInt(Ae.slice(3,5),16);isNaN(Je)||(Oe=Je)}if(Oe!==null)fe.push(Oe);else{if(fe.length>0){const Je=this.text_decoder.decode(Uint8Array.from(fe));ee.push(Je),fe=[]}ee.push(Ae)}}if(fe.length>0){const Ae=this.text_decoder.decode(Uint8Array.from(fe));ee.push(Ae),fe=[]}return ee}}class Ee extends W{decode_chain(N){return[N.join("")]}}class Fe extends W{constructor(N){super(N),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(N){return N.map(ee=>{let fe=0;for(let Oe=0;Oe<this.start&&ee[Oe]===this.content;++Oe){fe=Oe+1;continue}let Ae=ee.length;for(let Oe=0;Oe<this.stop;++Oe){const Je=ee.length-Oe-1;if(ee[Je]===this.content){Ae=Je;continue}else break}return ee.slice(fe,Ae)})}}class Ze extends W{constructor(N){super(N),this.cleanup=N.cleanup}decode_chain(N){return N.map((ee,fe)=>(fe!==0&&(ee.startsWith(this.config.prefix)?ee=ee.replace(this.config.prefix,""):ee=" "+ee),this.cleanup&&(ee=H(ee)),ee))}}class rt extends W{constructor(N){super(N),this.byte_decoder=re,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(N){const ee=N.join(""),fe=new Uint8Array([...ee].map(Oe=>this.byte_decoder[Oe]));return this.text_decoder.decode(fe)}decode_chain(N){const ee=[];let fe=[];for(const Ae of N)this.added_tokens.find(Oe=>Oe.content===Ae)!==void 0?(fe.length>0&&(ee.push(this.convert_tokens_to_string(fe)),fe=[]),ee.push(Ae)):fe.push(Ae);return fe.length>0&&ee.push(this.convert_tokens_to_string(fe)),ee}}class dt extends W{constructor(N){super(N),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(N){if(N.length===0)return"";const ee=[N[0]];for(let Oe=1;Oe<N.length;++Oe)N[Oe]!==ee.at(-1)&&ee.push(N[Oe]);let Ae=ee.filter(Oe=>Oe!==this.pad_token).join("");return this.cleanup&&(Ae=H(Ae).replaceAll(this.word_delimiter_token," ").trim()),Ae}decode_chain(N){return[this.convert_tokens_to_string(N)]}}class bt extends W{constructor(N){super(N),this.decoders=N.decoders.map(ee=>W.fromConfig(ee))}decode_chain(N){return this.decoders.reduce((ee,fe)=>fe.decode_chain(ee),N)}}class Ct extends W{constructor(N){super(N),this.suffix=this.config.suffix}decode_chain(N){return N.map((ee,fe)=>ee.replaceAll(this.suffix,fe===N.length-1?"":" "))}}class Lt extends W{decode_chain(N){let ee="";for(let fe=1;fe<N.length;fe+=2)ee+=N[fe];return[ee]}}class Nt extends Ve{constructor(N){super(),this.addPrefixSpace=N.add_prefix_space,this.replacement=N.replacement,this.strRep=N.str_rep||this.replacement,this.prepend_scheme=N.prepend_scheme??"always"}pre_tokenize_text(N,{section_index:ee=void 0}={}){let fe=N.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!fe.startsWith(this.replacement)&&(this.prepend_scheme==="always"||this.prepend_scheme==="first"&&ee===0)&&(fe=this.strRep+fe),[fe]}}class br extends W{constructor(N){super(N),this.addPrefixSpace=N.add_prefix_space,this.replacement=N.replacement}decode_chain(N){const ee=[];for(let fe=0;fe<N.length;++fe){let Ae=N[fe].replaceAll(this.replacement," ");this.addPrefixSpace&&fe==0&&Ae.startsWith(" ")&&(Ae=Ae.substring(1)),ee.push(Ae)}return ee}}class Rr extends me{constructor(N){super(N),this.charsmap=N.precompiled_charsmap}normalize(N){return N=N.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,""),N=N.replace(/[\u0009\u000A\u000C\u000D\u00A0\u1680\u2000-\u200F\u2028\u2029\u202F\u205F\u2581\u3000\uFEFF\uFFFD]/gm," "),N.includes("～")?N=N.split("～").map(fe=>fe.normalize("NFKC")).join("～"):N=N.normalize("NFKC"),N}}class Yr extends Ve{constructor(N){super(),this.tokenizers=N.pretokenizers.map(ee=>Ve.fromConfig(ee))}pre_tokenize_text(N,ee){return this.tokenizers.reduce((fe,Ae)=>Ae.pre_tokenize(fe,ee),[N])}}class nn extends Ve{constructor(N){super()}pre_tokenize_text(N,ee){return N.match(/\w+|[^\w\s]+/g)||[]}}class $n extends Ve{constructor(N){super()}pre_tokenize_text(N,ee){return I(N)}}class Es extends Ve{constructor(N){super(),this.config=N,this.pattern=M(this.config.pattern),this.content=this.config.content}pre_tokenize_text(N,ee){return this.pattern===null?[N]:[N.replaceAll(this.pattern,this.config.content)]}}const na=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function fn(Ie,N,ee,fe){for(const Ae of Object.keys(Ie)){const Oe=N-Ie[Ae].length,Je=ee(Ae),_t=new Array(Oe).fill(Je);Ie[Ae]=fe==="right"?(0,a.mergeArrays)(Ie[Ae],_t):(0,a.mergeArrays)(_t,Ie[Ae])}}function fs(Ie,N){for(const ee of Object.keys(Ie))Ie[ee].length=N}class qt extends n.Callable{constructor(ee,fe){super();we(this,"return_token_type_ids",!1);we(this,"padding_side","right");this._tokenizer_config=fe,this.normalizer=me.fromConfig(ee.normalizer),this.pre_tokenizer=Ve.fromConfig(ee.pre_tokenizer),this.model=Pe.fromConfig(ee.model,fe),this.post_processor=We.fromConfig(ee.post_processor),this.decoder=W.fromConfig(ee.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];for(const Ae of ee.added_tokens){const Oe=new ue(Ae);this.added_tokens.push(Oe),this.model.tokens_to_ids.set(Oe.content,Oe.id),this.model.vocab[Oe.id]=Oe.content,Oe.special&&(this.special_tokens.push(Oe.content),this.all_special_ids.push(Oe.id))}if(this.additional_special_tokens=fe.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.slice().sort((Ae,Oe)=>Oe.content.length-Ae.content.length).map(Ae=>`${Ae.lstrip?"\\s*":""}(${(0,a.escapeRegExp)(Ae.content)})${Ae.rstrip?"\\s*":""}`).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.bos_token=this.getToken("bos_token"),this.bos_token_id=this.model.tokens_to_ids.get(this.bos_token),this.eos_token=this.getToken("eos_token"),this.eos_token_id=this.model.tokens_to_ids.get(this.eos_token),this.model_max_length=fe.model_max_length,this.remove_space=fe.remove_space,this.clean_up_tokenization_spaces=fe.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=fe.do_lowercase_and_remove_accent??!1,fe.padding_side&&(this.padding_side=fe.padding_side),this.legacy=!1,this.chat_template=fe.chat_template??null,Array.isArray(this.chat_template)){const Ae=Object.create(null);for(const{name:Oe,template:Je}of this.chat_template){if(typeof Oe!="string"||typeof Je!="string")throw new Error('Chat template must be a list of objects with "name" and "template" properties');Ae[Oe]=Je}this.chat_template=Ae}this._compiled_template_cache=new Map}getToken(...ee){for(const fe of ee){const Ae=this._tokenizer_config[fe];if(Ae)if(typeof Ae=="object"){if(Ae.__type==="AddedToken")return Ae.content;throw Error(`Unknown token: ${Ae}`)}else return Ae}return null}static async from_pretrained(ee,{progress_callback:fe=null,config:Ae=null,cache_dir:Oe=null,local_files_only:Je=!1,revision:_t="main",legacy:Et=null}={}){const yt=await y(ee,{progress_callback:fe,config:Ae,cache_dir:Oe,local_files_only:Je,revision:_t,legacy:Et});return new this(...yt)}_call(ee,{text_pair:fe=null,add_special_tokens:Ae=!0,padding:Oe=!1,truncation:Je=null,max_length:_t=null,return_tensor:Et=!0,return_token_type_ids:yt=null}={}){const St=Array.isArray(ee);let tr;if(St){if(ee.length===0)throw Error("text array must be non-empty");if(fe!==null){if(Array.isArray(fe)){if(ee.length!==fe.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");tr=ee.map((Pr,rn)=>this._encode_plus(Pr,{text_pair:fe[rn],add_special_tokens:Ae,return_token_type_ids:yt}))}else tr=ee.map(Pr=>this._encode_plus(Pr,{add_special_tokens:Ae,return_token_type_ids:yt}))}else{if(ee==null)throw Error("text may not be null or undefined");if(Array.isArray(fe))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");tr=[this._encode_plus(ee,{text_pair:fe,add_special_tokens:Ae,return_token_type_ids:yt})]}if(_t===null?Oe==="max_length"?_t=this.model_max_length:_t=(0,u.max)(tr.map(Pr=>Pr.input_ids.length))[0]:Je||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."),_t=Math.min(_t,this.model_max_length??1/0),Oe||Je)for(let Pr=0;Pr<tr.length;++Pr)tr[Pr].input_ids.length!==_t&&(tr[Pr].input_ids.length>_t?Je&&fs(tr[Pr],_t):Oe&&fn(tr[Pr],_t,rn=>rn==="input_ids"?this.pad_token_id:0,this.padding_side));const kr={};if(Et){if(!(Oe&&Je)&&tr.some(rn=>{var Gt;for(const mr of Object.keys(rn))if(rn[mr].length!==((Gt=tr[0][mr])==null?void 0:Gt.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 Pr=[tr.length,tr[0].input_ids.length];for(const rn of Object.keys(tr[0]))kr[rn]=new d.Tensor("int64",BigInt64Array.from(tr.flatMap(Gt=>Gt[rn]).map(BigInt)),Pr)}else{for(const Pr of Object.keys(tr[0]))kr[Pr]=tr.map(rn=>rn[Pr]);if(!St)for(const Pr of Object.keys(kr))kr[Pr]=kr[Pr][0]}return kr}_encode_text(ee){return ee===null?null:(this.added_tokens_regex?ee.split(this.added_tokens_regex).filter(Oe=>Oe):[ee]).map((Oe,Je)=>{if(this.added_tokens.find(Et=>Et.content===Oe)!==void 0)return Oe;{if(this.remove_space===!0&&(Oe=Oe.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(Oe=z(Oe)),this.normalizer!==null&&(Oe=this.normalizer(Oe)),Oe.length===0)return[];const Et=this.pre_tokenizer!==null?this.pre_tokenizer(Oe,{section_index:Je}):[Oe];return this.model(Et)}}).flat()}_encode_plus(ee,{text_pair:fe=null,add_special_tokens:Ae=!0,return_token_type_ids:Oe=null}={}){const{tokens:Je,token_type_ids:_t}=this._tokenize_helper(ee,{pair:fe,add_special_tokens:Ae}),Et=this.model.convert_tokens_to_ids(Je),yt={input_ids:Et,attention_mask:new Array(Et.length).fill(1)};return(Oe??this.return_token_type_ids)&&_t&&(yt.token_type_ids=_t),yt}_tokenize_helper(ee,{pair:fe=null,add_special_tokens:Ae=!1}={}){const Oe=this._encode_text(ee),Je=this._encode_text(fe);return this.post_processor?this.post_processor(Oe,Je,{add_special_tokens:Ae}):{tokens:(0,a.mergeArrays)(Oe??[],Je??[])}}tokenize(ee,{pair:fe=null,add_special_tokens:Ae=!1}={}){return this._tokenize_helper(ee,{pair:fe,add_special_tokens:Ae}).tokens}encode(ee,{text_pair:fe=null,add_special_tokens:Ae=!0,return_token_type_ids:Oe=null}={}){return this._encode_plus(ee,{text_pair:fe,add_special_tokens:Ae,return_token_type_ids:Oe}).input_ids}batch_decode(ee,fe={}){return ee instanceof d.Tensor&&(ee=ee.tolist()),ee.map(Ae=>this.decode(Ae,fe))}decode(ee,fe={}){if(ee instanceof d.Tensor&&(ee=G(ee)),!Array.isArray(ee)||ee.length===0||!(0,a.isIntegralNumber)(ee[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(ee,fe)}decode_single(ee,{skip_special_tokens:fe=!1,clean_up_tokenization_spaces:Ae=null}){let Oe=this.model.convert_ids_to_tokens(ee);fe&&(Oe=Oe.filter(_t=>!this.special_tokens.includes(_t)));let Je=this.decoder?this.decoder(Oe):Oe.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(Je=Je.replaceAll(this.decoder.end_of_word_suffix," "),fe&&(Je=Je.trim())),(Ae??this.clean_up_tokenization_spaces)&&(Je=H(Je)),Je}get_chat_template({chat_template:ee=null,tools:fe=null}={}){if(this.chat_template&&typeof this.chat_template=="object"){const Ae=this.chat_template;if(ee!==null&&Object.hasOwn(Ae,ee))ee=Ae[ee];else if(ee===null)if(fe!==null&&"tool_use"in Ae)ee=Ae.tool_use;else if("default"in Ae)ee=Ae.default;else throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(Ae).sort()}.`)}else if(ee===null)if(this.chat_template)ee=this.chat_template;else throw Error("Cannot use apply_chat_template() because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating");return ee}apply_chat_template(ee,{tools:fe=null,documents:Ae=null,chat_template:Oe=null,add_generation_prompt:Je=!1,tokenize:_t=!0,padding:Et=!1,truncation:yt=!1,max_length:St=null,return_tensor:tr=!0,return_dict:kr=!1,tokenizer_kwargs:Pr={},...rn}={}){if(Oe=this.get_chat_template({chat_template:Oe,tools:fe}),typeof Oe!="string")throw Error(`chat_template must be a string, but got ${typeof Oe}`);let Gt=this._compiled_template_cache.get(Oe);Gt===void 0&&(Gt=new h.Template(Oe),this._compiled_template_cache.set(Oe,Gt));const mr=Object.create(null);for(const mn of na){const ze=this.getToken(mn);ze&&(mr[mn]=ze)}const On=Gt.render({messages:ee,add_generation_prompt:Je,tools:fe,documents:Ae,...mr,...rn});if(_t){const mn=this._call(On,{add_special_tokens:!1,padding:Et,truncation:yt,max_length:St,return_tensor:tr,...Pr});return kr?mn:mn.input_ids}return On}}class sa extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class Ts extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class xs extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class aa extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class Kn extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class ia extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class Ms extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class Fs extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class Ns extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class jn extends qt{}class ot extends qt{}class At extends qt{constructor(ee,fe){super(ee,fe);we(this,"return_token_type_ids",!0);console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class Ut extends qt{constructor(){super(...arguments);we(this,"return_token_type_ids",!0)}}class pn extends qt{}class Ds extends qt{}class Ps extends qt{}class Dr extends qt{constructor(N,ee){super(N,ee),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(fe=>this.languageRegex.test(fe)),this.lang_to_token=fe=>fe}_build_translation_inputs(N,ee,fe){return rs(this,N,ee,fe)}}class zn extends Dr{}class en extends qt{}class ps extends qt{}const fr="▁";class Ma extends qt{constructor(ee,fe){super(ee,fe);we(this,"padding_side","left");this.legacy=fe.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new Nt({replacement:fr,add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(ee){if(ee===null)return null;if(this.legacy||ee.length===0)return super._encode_text(ee);let fe=super._encode_text(fr+ee.replaceAll(fr," "));return fe.length>1&&fe[0]===fr&&this.special_tokens.includes(fe[1])&&(fe=fe.slice(1)),fe}}class Bs extends qt{}class $i extends qt{}class Ha extends qt{}class Ka extends qt{}class qa extends qt{}class js extends qt{}class Za extends qt{}class Oi extends qt{}class zs extends qt{}function rs(Ie,N,ee,fe){if(!("language_codes"in Ie)||!Array.isArray(Ie.language_codes))throw new Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in Ie)||!(Ie.languageRegex instanceof RegExp))throw new Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in Ie)||typeof Ie.lang_to_token!="function")throw new Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");const Ae=fe.src_lang,Oe=fe.tgt_lang;if(!Ie.language_codes.includes(Oe))throw new Error(`Target language code "${Oe}" is not valid. Must be one of: {${Ie.language_codes.join(", ")}}`);if(Ae!==void 0){if(!Ie.language_codes.includes(Ae))throw new Error(`Source language code "${Ae}" is not valid. Must be one of: {${Ie.language_codes.join(", ")}}`);for(const Je of Ie.post_processor.config.single)if("SpecialToken"in Je&&Ie.languageRegex.test(Je.SpecialToken.id)){Je.SpecialToken.id=Ie.lang_to_token(Ae);break}}return fe.forced_bos_token_id=Ie.model.convert_tokens_to_ids([Ie.lang_to_token(Oe)])[0],Ie._call(N,ee)}class Un extends qt{constructor(N,ee){super(N,ee),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(fe=>this.languageRegex.test(fe)),this.lang_to_token=fe=>fe}_build_translation_inputs(N,ee,fe){return rs(this,N,ee,fe)}}class Pa extends qt{constructor(N,ee){super(N,ee),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(fe=>this.languageRegex.test(fe)).map(fe=>fe.slice(2,-2)),this.lang_to_token=fe=>`__${fe}__`}_build_translation_inputs(N,ee,fe){return rs(this,N,ee,fe)}}class oa extends qt{get timestamp_begin(){return this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1}_decode_asr(N,{return_timestamps:ee=!1,return_language:fe=!1,time_precision:Ae=null,force_full_sequences:Oe=!0}={}){if(Ae===null)throw Error("Must specify time_precision");let Je=null;const _t=ee==="word";function Et(){return{language:Je,timestamp:[null,null],text:""}}const yt=[];let St=Et(),tr=0;const kr=this.timestamp_begin,rn=kr+1500;let Gt=[],mr=[],On=!1,mn=null;const ze=new Set(this.all_special_ids);for(const Xr of N){const yn=Xr.tokens,jt=_t?Xr.token_timestamps:null;let Nn=null,ns=kr;if("stride"in Xr){const[xt,sr,sn]=Xr.stride;if(tr-=sr,mn=xt-sn,sr&&(ns=sr/Ae+kr),sn)for(let Jr=yn.length-1;Jr>=0;--Jr){const _n=Number(yn[Jr]);if(_n>=kr){if(Nn!==null&&(_n-kr)*Ae<mn)break;Nn=_n}}}let Ir=[],Qr=[];for(let xt=0;xt<yn.length;++xt){const sr=Number(yn[xt]);if(ze.has(sr)){const sn=this.decode([sr]),Jr=_.WHISPER_LANGUAGE_MAPPING.get(sn.slice(2,-2));if(Jr!==void 0){if(Je!==null&&Jr!==Je&&!ee){Gt.push(Ir);const _n=this.findLongestCommonSequence(Gt)[0],Ft=this.decode(_n);St.text=Ft,yt.push(St),Gt=[],Ir=[],St=Et()}Je=St.language=Jr}}else if(sr>=kr&&sr<=rn){const sn=(sr-kr)*Ae+tr,Jr=(0,u.round)(sn,2);if(Nn!==null&&sr>=Nn)On=!0;else if(On||Gt.length>0&&sr<ns)On=!1;else if(St.timestamp[0]===null)St.timestamp[0]=Jr;else if(Jr!==St.timestamp[0]){St.timestamp[1]=Jr,Gt.push(Ir),_t&&mr.push(Qr);const[_n,Ft]=this.findLongestCommonSequence(Gt,mr),ua=this.decode(_n);St.text=ua,_t&&(St.words=this.collateWordTimestamps(_n,Ft,Je)),yt.push(St),Gt=[],Ir=[],mr=[],Qr=[],St=Et()}}else if(Ir.push(sr),_t){let sn=(0,u.round)(jt[xt]+tr,2),Jr;if(xt+1<jt.length){Jr=(0,u.round)(jt[xt+1]+tr,2);const _n=this.decode([sr]);$.test(_n)&&(Jr=(0,u.round)(Math.min(sn+Ae,Jr),2))}else Jr=null;Qr.push([sn,Jr])}}if("stride"in Xr){const[xt,sr,sn]=Xr.stride;tr+=xt-sn}Ir.length>0?(Gt.push(Ir),_t&&mr.push(Qr)):Gt.every(xt=>xt.length===0)&&(St=Et(),Gt=[],Ir=[],mr=[],Qr=[])}if(Gt.length>0){if(Oe&&ee)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[Xr,yn]=this.findLongestCommonSequence(Gt,mr),jt=this.decode(Xr);St.text=jt,_t&&(St.words=this.collateWordTimestamps(Xr,yn,Je)),yt.push(St)}let xn=Object.create(null);const Cs=yt.map(Xr=>Xr.text).join("");if(ee||fe){for(let Xr=0;Xr<yt.length;++Xr){const yn=yt[Xr];ee||delete yn.timestamp,fe||delete yn.language}if(_t){const Xr=[];for(const yn of yt)for(const jt of yn.words)Xr.push(jt);xn={chunks:Xr}}else xn={chunks:yt}}return[Cs,xn]}findLongestCommonSequence(N,ee=null){let fe=N[0],Ae=fe.length,Oe=[];const Je=Array.isArray(ee)&&ee.length>0;let _t=Je?[]:null,Et=Je?ee[0]:null;for(let yt=1;yt<N.length;++yt){const St=N[yt];let tr=0,kr=[Ae,Ae,0,0];const Pr=St.length;for(let xn=1;xn<Ae+Pr;++xn){const Cs=Math.max(0,Ae-xn),Xr=Math.min(Ae,Ae+Pr-xn),yn=fe.slice(Cs,Xr),jt=Math.max(0,xn-Ae),Nn=Math.min(Pr,xn),ns=St.slice(jt,Nn);if(yn.length!==ns.length)throw new Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let Ir;Je?Ir=yn.filter((sr,sn)=>sr===ns[sn]&&Et[Cs+sn]<=ee[yt][jt+sn]).length:Ir=yn.filter((sr,sn)=>sr===ns[sn]).length;const Qr=xn/1e4,xt=Ir/xn+Qr;Ir>1&&xt>tr&&(tr=xt,kr=[Cs,Xr,jt,Nn])}const[rn,Gt,mr,On]=kr,mn=Math.floor((Gt+rn)/2),ze=Math.floor((On+mr)/2);Oe.push(...fe.slice(0,mn)),fe=St.slice(ze),Ae=fe.length,Je&&(_t.push(...Et.slice(0,mn)),Et=ee[yt].slice(ze))}return Oe.push(...fe),Je?(_t.push(...Et),[Oe,_t]):[Oe,[]]}collateWordTimestamps(N,ee,fe){const[Ae,Oe,Je]=this.combineTokensIntoWords(N,fe),_t=[];for(let Et=0;Et<Ae.length;++Et){const yt=Je[Et];_t.push({text:Ae[Et],timestamp:[ee[yt.at(0)][0],ee[yt.at(-1)][1]]})}return _t}combineTokensIntoWords(N,ee,fe=`"'“¡¿([{-`,Ae=`"'.。,，!！?？:：”)]}、`){ee=ee??"english";let Oe,Je,_t;return["chinese","japanese","thai","lao","myanmar"].includes(ee)?[Oe,Je,_t]=this.splitTokensOnUnicode(N):[Oe,Je,_t]=this.splitTokensOnSpaces(N),this.mergePunctuations(Oe,Je,_t,fe,Ae)}decode(N,ee){let fe;return ee!=null&&ee.decode_with_timestamps?(N instanceof d.Tensor&&(N=G(N)),fe=this.decodeWithTimestamps(N,ee)):fe=super.decode(N,ee),fe}decodeWithTimestamps(N,ee){const fe=(ee==null?void 0:ee.time_precision)??.02,Ae=Array.from(this.all_special_ids).at(-1)+1;let Oe=[[]];for(let Je of N)if(Je=Number(Je),Je>=Ae){const _t=((Je-Ae)*fe).toFixed(2);Oe.push(`<|${_t}|>`),Oe.push([])}else Oe[Oe.length-1].push(Je);return Oe=Oe.map(Je=>typeof Je=="string"?Je:super.decode(Je,ee)),Oe.join("")}splitTokensOnUnicode(N){const ee=this.decode(N,{decode_with_timestamps:!0}),fe="�",Ae=[],Oe=[],Je=[];let _t=[],Et=[],yt=0;for(let St=0;St<N.length;++St){const tr=N[St];_t.push(tr),Et.push(St);const kr=this.decode(_t,{decode_with_timestamps:!0});(!kr.includes(fe)||ee[yt+kr.indexOf(fe)]===fe)&&(Ae.push(kr),Oe.push(_t),Je.push(Et),_t=[],Et=[],yt+=kr.length)}return[Ae,Oe,Je]}splitTokensOnSpaces(N){const[ee,fe,Ae]=this.splitTokensOnUnicode(N),Oe=[],Je=[],_t=[],Et=new RegExp(`^[${k}]$`,"gu");for(let yt=0;yt<ee.length;++yt){const St=ee[yt],tr=fe[yt],kr=Ae[yt],Pr=tr[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),rn=St.startsWith(" "),Gt=St.trim(),mr=Et.test(Gt);if(Pr||rn||mr||Oe.length===0)Oe.push(St),Je.push(tr),_t.push(kr);else{const On=Oe.length-1;Oe[On]+=St,Je[On].push(...tr),_t[On].push(...kr)}}return[Oe,Je,_t]}mergePunctuations(N,ee,fe,Ae,Oe){const Je=structuredClone(N),_t=structuredClone(ee),Et=structuredClone(fe);let yt=Je.length-2,St=Je.length-1;for(;yt>=0;)Je[yt].startsWith(" ")&&Ae.includes(Je[yt].trim())?(Je[St]=Je[yt]+Je[St],_t[St]=(0,a.mergeArrays)(_t[yt],_t[St]),Et[St]=(0,a.mergeArrays)(Et[yt],Et[St]),Je[yt]="",_t[yt]=[],Et[yt]=[]):St=yt,--yt;for(yt=0,St=1;St<Je.length;)!Je[yt].endsWith(" ")&&Oe.includes(Je[St])?(Je[yt]+=Je[St],_t[yt]=(0,a.mergeArrays)(_t[yt],_t[St]),Et[yt]=(0,a.mergeArrays)(Et[yt],Et[St]),Je[St]="",_t[St]=[],Et[St]=[]):yt=St,++St;return[Je.filter(tr=>tr),_t.filter(tr=>tr.length>0),Et.filter(tr=>tr.length>0)]}}class Ca extends qt{}class Sa extends qt{}class Aa extends qt{}class Wt extends qt{constructor(N,ee){super(N,ee),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(fe=>this.languageRegex.test(fe)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. 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z=await(0,a.getFile)(B);if(z.status!==200)throw new Error(`Unable to read image from "${B}" (${z.status} ${z.statusText})`);const U=await z.blob();return this.fromBlob(U)}static async fromBlob(B){if(y){const z=await _(B),U=c(z.width,z.height).getContext("2d");return U.drawImage(z,0,0),new this(U.getImageData(0,0,z.width,z.height).data,z.width,z.height,4)}else{const z=d(await B.arrayBuffer());return await _(z)}}static fromTensor(B,z="CHW"){if(B.dims.length!==3)throw new Error(`Tensor should have 3 dimensions, but has ${B.dims.length} dimensions.`);if(z==="CHW")B=B.transpose(1,2,0);else if(z!=="HWC")throw new Error(`Unsupported channel format: ${z}`);if(!(B.data instanceof Uint8ClampedArray||B.data instanceof Uint8Array))throw new Error(`Unsupported tensor type: ${B.type}`);switch(B.dims[2]){case 1:case 2:case 3:case 4:return new S(B.data,B.dims[1],B.dims[0],B.dims[2]);default:throw new Error(`Unsupported number of channels: ${B.dims[2]}`)}}grayscale(){if(this.channels===1)return this;const B=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let z=0,U=0;z<this.data.length;z+=this.channels){const F=this.data[z],I=this.data[z+1],k=this.data[z+2];B[U++]=Math.round(.2989*F+.587*I+.114*k)}break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(B,this.width,this.height,1)}rgb(){if(this.channels===3)return this;const B=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let z=0,U=0;z<this.data.length;++z)B[U++]=this.data[z],B[U++]=this.data[z],B[U++]=this.data[z];break;case 4:for(let z=0,U=0;z<this.data.length;z+=4)B[U++]=this.data[z],B[U++]=this.data[z+1],B[U++]=this.data[z+2];break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(B,this.width,this.height,3)}rgba(){if(this.channels===4)return this;const B=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let z=0,U=0;z<this.data.length;++z)B[U++]=this.data[z],B[U++]=this.data[z],B[U++]=this.data[z],B[U++]=255;break;case 3:for(let z=0,U=0;z<this.data.length;z+=3)B[U++]=this.data[z],B[U++]=this.data[z+1],B[U++]=this.data[z+2],B[U++]=255;break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(B,this.width,this.height,4)}putAlpha(B){if(B.width!==this.width||B.height!==this.height)throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${B.width}x${B.height}`);if(B.channels!==1)throw new Error(`Expected mask to have 1 channel, but got ${B.channels}`);const z=this.data,U=B.data,F=this.width*this.height;if(this.channels===3){const I=new Uint8ClampedArray(F*4);for(let k=0,$=0,j=0;k<F;++k)I[j++]=z[$++],I[j++]=z[$++],I[j++]=z[$++],I[j++]=U[k];return this._update(I,this.width,this.height,4)}else if(this.channels===4){for(let I=0;I<F;++I)z[4*I+3]=U[I];return this}throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(B,z,{resample:U=2}={}){if(this.width===B&&this.height===z)return this;let F=w[U]??U;const I=(0,n.isNullishDimension)(B),k=(0,n.isNullishDimension)(z);if(I&&k)return this;if(I?B=z/this.height*this.width:k&&(z=B/this.width*this.height),y){const $=this.channels,j=this.toCanvas(),ce=c(B,z).getContext("2d");return ce.drawImage(j,0,0,B,z),new S(ce.getImageData(0,0,B,z).data,B,z,4).convert($)}else{let $=this.toSharp();switch(F){case"box":case"hamming":(F==="box"||F==="hamming")&&(console.warn(`Resampling method ${F} is not yet supported. Using bilinear instead.`),F="bilinear");case"nearest":case"bilinear":case"bicubic":$=$.affine([B/this.width,0,0,z/this.height],{interpolator:F});break;case"lanczos":$=$.resize({width:B,height:z,fit:"fill",kernel:"lanczos3"});break;default:throw new Error(`Resampling method ${F} is not supported.`)}return await _($)}}async pad([B,z,U,F]){if(B=Math.max(B,0),z=Math.max(z,0),U=Math.max(U,0),F=Math.max(F,0),B===0&&z===0&&U===0&&F===0)return this;if(y){const I=this.channels,k=this.toCanvas(),$=this.width+B+z,j=this.height+U+F,ce=c($,j).getContext("2d");return ce.drawImage(k,0,0,this.width,this.height,B,U,this.width,this.height),new S(ce.getImageData(0,0,$,j).data,$,j,4).convert(I)}else{const I=this.toSharp().extend({left:B,right:z,top:U,bottom:F});return await _(I)}}async crop([B,z,U,F]){if(B=Math.max(B,0),z=Math.max(z,0),U=Math.min(U,this.width-1),F=Math.min(F,this.height-1),B===0&&z===0&&U===this.width-1&&F===this.height-1)return this;const I=U-B+1,k=F-z+1;if(y){const $=this.channels,j=this.toCanvas(),ce=c(I,k).getContext("2d");return ce.drawImage(j,B,z,I,k,0,0,I,k),new S(ce.getImageData(0,0,I,k).data,I,k,4).convert($)}else{const $=this.toSharp().extract({left:B,top:z,width:I,height:k});return await _($)}}async center_crop(B,z){if(this.width===B&&this.height===z)return this;const U=(this.width-B)/2,F=(this.height-z)/2;if(y){const I=this.channels,k=this.toCanvas(),$=c(B,z).getContext("2d");let j=0,ce=0,ue=0,Pe=0;return U>=0?j=U:ue=-U,F>=0?ce=F:Pe=-F,$.drawImage(k,j,ce,B,z,ue,Pe,B,z),new S($.getImageData(0,0,B,z).data,B,z,4).convert(I)}else{let I=this.toSharp();if(U>=0&&F>=0)I=I.extract({left:Math.floor(U),top:Math.floor(F),width:B,height:z});else if(U<=0&&F<=0){const k=Math.floor(-F),$=Math.floor(-U);I=I.extend({top:k,left:$,right:B-this.width-$,bottom:z-this.height-k})}else{let k=[0,0],$=0;F<0?(k[0]=Math.floor(-F),k[1]=z-this.height-k[0]):$=Math.floor(F);let j=[0,0],ce=0;U<0?(j[0]=Math.floor(-U),j[1]=B-this.width-j[0]):ce=Math.floor(U),I=I.extend({top:k[0],bottom:k[1],left:j[0],right:j[1]}).extract({left:ce,top:$,width:B,height:z})}return await _(I)}}async toBlob(B="image/png",z=1){if(!y)throw new Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:B,quality:z})}toTensor(B="CHW"){let z=new u.Tensor("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(B!=="HWC")if(B==="CHW")z=z.permute(2,0,1);else throw new Error(`Unsupported channel format: ${B}`);return z}toCanvas(){if(!y)throw new Error("toCanvas() is only supported in browser environments.");const B=this.clone().rgba(),z=c(B.width,B.height),U=new h(B.data,B.width,B.height);return z.getContext("2d").putImageData(U,0,0),z}split(){const{data:B,width:z,height:U,channels:F}=this,I=B.constructor,k=B.length/F,$=Array.from({length:F},()=>new I(k));for(let j=0;j<k;++j){const ce=F*j;for(let ue=0;ue<F;++ue)$[ue][j]=B[ce+ue]}return $.map(j=>new S(j,z,U,1))}_update(B,z,U,F=null){return this.data=B,this.width=z,this.height=U,F!==null&&(this.channels=F),this}clone(){return new S(this.data.slice(),this.width,this.height,this.channels)}convert(B){if(this.channels===B)return this;switch(B){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(B){if(y){if(o.apis.IS_WEBWORKER_ENV)throw new Error("Unable to save an image from a Web Worker.");const z=B.split(".").pop().toLowerCase(),U=M.get(z)??"image/png",F=await this.toBlob(U);(0,n.saveBlob)(B,F)}else{if(o.apis.IS_FS_AVAILABLE)return await this.toSharp().toFile(B);throw new Error("Unable to save the image because filesystem is disabled in this environment.")}}toSharp(){if(y)throw new Error("toSharp() is only supported in server-side environments.");return d(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}}const G=S.read.bind(S)},"./src/utils/maths.js":(r,e,t)=>{t.r(e),t.d(e,{FFT:()=>G,bankers_round:()=>z,cos_sim:()=>c,dot:()=>d,dynamic_time_warping:()=>U,interpolate_data:()=>n,log_softmax:()=>u,magnitude:()=>h,max:()=>y,medianFilter:()=>H,min:()=>_,permute_data:()=>a,round:()=>B,softmax:()=>o});function n(F,[I,k,$],[j,ce],ue="bilinear",Pe=!1){const Te=ce/$,ie=j/k,oe=new F.constructor(j*ce*I),re=k*$,ge=j*ce;for(let ve=0;ve<j;++ve)for(let me=0;me<ce;++me){const Le=ve*ce+me,$e=(me+.5)/Te-.5,pe=(ve+.5)/ie-.5;let X=Math.floor($e),le=Math.floor(pe);const ke=Math.min(X+1,$-1),Re=Math.min(le+1,k-1);X=Math.max(X,0),le=Math.max(le,0);const Xe=$e-X,ae=pe-le,He=(1-Xe)*(1-ae),Ve=Xe*(1-ae),he=(1-Xe)*ae,Se=Xe*ae,Ke=le*$,qe=Re*$,Ge=Ke+X,We=Ke+ke,st=qe+X,ht=qe+ke;for(let mt=0;mt<I;++mt){const ct=mt*re;oe[mt*ge+Le]=He*F[ct+Ge]+Ve*F[ct+We]+he*F[ct+st]+Se*F[ct+ht]}}return oe}function a(F,I,k){const $=new Array(k.length),j=new Array(k.length);for(let Pe=k.length-1,Te=1;Pe>=0;--Pe)j[Pe]=Te,$[Pe]=I[k[Pe]],Te*=$[Pe];const ce=k.map((Pe,Te)=>j[k.indexOf(Te)]),ue=new F.constructor(F.length);for(let Pe=0;Pe<F.length;++Pe){let Te=0;for(let ie=I.length-1,oe=Pe;ie>=0;--ie)Te+=oe%I[ie]*ce[ie],oe=Math.floor(oe/I[ie]);ue[Te]=F[Pe]}return[ue,$]}function o(F){const I=y(F)[0],k=F.map(ce=>Math.exp(ce-I)),$=k.reduce((ce,ue)=>ce+ue,0);return k.map(ce=>ce/$)}function u(F){const I=y(F)[0];let k=0;for(let ce=0;ce<F.length;++ce)k+=Math.exp(F[ce]-I);const $=Math.log(k);return F.map(ce=>ce-I-$)}function d(F,I){let k=0;for(let $=0;$<F.length;++$)k+=F[$]*I[$];return k}function c(F,I){const k=d(F,I),$=h(F),j=h(I);return k/($*j)}function h(F){return Math.sqrt(F.reduce((I,k)=>I+k*k,0))}function _(F){if(F.length===0)throw Error("Array must not be empty");let I=F[0],k=0;for(let $=1;$<F.length;++$)F[$]<I&&(I=F[$],k=$);return[I,k]}function y(F){if(F.length===0)throw Error("Array must not be empty");let I=F[0],k=0;for(let $=1;$<F.length;++$)F[$]>I&&(I=F[$],k=$);return[I,k]}function w(F){return F>0&&(F&F-1)===0}class M{constructor(I){if(this.size=I|0,this.size<=1||!w(this.size))throw new Error("FFT size must be a power of two larger than 1");this._csize=I<<1,this.table=new Float64Array(this.size*2);for(let $=0;$<this.table.length;$+=2){const j=Math.PI*$/this.size;this.table[$]=Math.cos(j),this.table[$+1]=-Math.sin(j)}let k=0;for(let $=1;this.size>$;$<<=1)++k;this._width=k%2===0?k-1:k,this._bitrev=new Int32Array(1<<this._width);for(let $=0;$<this._bitrev.length;++$){this._bitrev[$]=0;for(let j=0;j<this._width;j+=2){const ce=this._width-j-2;this._bitrev[$]|=($>>>j&3)<<ce}}}createComplexArray(){return new Float64Array(this._csize)}fromComplexArray(I,k){const $=k||new Array(I.length>>>1);for(let j=0;j<I.length;j+=2)$[j>>>1]=I[j];return $}toComplexArray(I,k){const $=k||this.createComplexArray();for(let j=0;j<$.length;j+=2)$[j]=I[j>>>1],$[j+1]=0;return $}transform(I,k){if(I===k)throw new Error("Input and output buffers must be different");this._transform4(I,k,1)}realTransform(I,k){if(I===k)throw new Error("Input and output buffers must be different");this._realTransform4(I,k,1)}inverseTransform(I,k){if(I===k)throw new Error("Input and output buffers must be different");this._transform4(I,k,-1);for(let $=0;$<I.length;++$)I[$]/=this.size}_transform4(I,k,$){const j=this._csize;let ue=1<<this._width,Pe=j/ue<<1,Te,ie;const oe=this._bitrev;if(Pe===4)for(Te=0,ie=0;Te<j;Te+=Pe,++ie){const ge=oe[ie];this._singleTransform2(k,I,Te,ge,ue)}else for(Te=0,ie=0;Te<j;Te+=Pe,++ie){const ge=oe[ie];this._singleTransform4(k,I,Te,ge,ue,$)}const re=this.table;for(ue>>=2;ue>=2;ue>>=2){Pe=j/ue<<1;const ge=Pe>>>2;for(Te=0;Te<j;Te+=Pe){const ve=Te+ge-1;for(let me=Te,Le=0;me<ve;me+=2,Le+=ue){const $e=me,pe=$e+ge,X=pe+ge,le=X+ge,ke=I[$e],Re=I[$e+1],Xe=I[pe],ae=I[pe+1],He=I[X],Ve=I[X+1],he=I[le],Se=I[le+1],Ke=re[Le],qe=$*re[Le+1],Ge=Xe*Ke-ae*qe,We=Xe*qe+ae*Ke,st=re[2*Le],ht=$*re[2*Le+1],mt=He*st-Ve*ht,ct=He*ht+Ve*st,gt=re[3*Le],W=$*re[3*Le+1],de=he*gt-Se*W,J=he*W+Se*gt,Ee=ke+mt,Fe=Re+ct,Ze=ke-mt,rt=Re-ct,dt=Ge+de,bt=We+J,Ct=$*(Ge-de),Lt=$*(We-J);I[$e]=Ee+dt,I[$e+1]=Fe+bt,I[pe]=Ze+Lt,I[pe+1]=rt-Ct,I[X]=Ee-dt,I[X+1]=Fe-bt,I[le]=Ze-Lt,I[le+1]=rt+Ct}}}}_singleTransform2(I,k,$,j,ce){const ue=I[j],Pe=I[j+1],Te=I[j+ce],ie=I[j+ce+1];k[$]=ue+Te,k[$+1]=Pe+ie,k[$+2]=ue-Te,k[$+3]=Pe-ie}_singleTransform4(I,k,$,j,ce,ue){const Pe=ce*2,Te=ce*3,ie=I[j],oe=I[j+1],re=I[j+ce],ge=I[j+ce+1],ve=I[j+Pe],me=I[j+Pe+1],Le=I[j+Te],$e=I[j+Te+1],pe=ie+ve,X=oe+me,le=ie-ve,ke=oe-me,Re=re+Le,Xe=ge+$e,ae=ue*(re-Le),He=ue*(ge-$e);k[$]=pe+Re,k[$+1]=X+Xe,k[$+2]=le+He,k[$+3]=ke-ae,k[$+4]=pe-Re,k[$+5]=X-Xe,k[$+6]=le-He,k[$+7]=ke+ae}_realTransform4(I,k,$){const j=this._csize;let ue=1<<this._width,Pe=j/ue<<1,Te,ie;const oe=this._bitrev;if(Pe===4)for(Te=0,ie=0;Te<j;Te+=Pe,++ie){const ve=oe[ie];this._singleRealTransform2(k,I,Te,ve>>>1,ue>>>1)}else for(Te=0,ie=0;Te<j;Te+=Pe,++ie){const ve=oe[ie];this._singleRealTransform4(k,I,Te,ve>>>1,ue>>>1,$)}const re=this.table;for(ue>>=2;ue>=2;ue>>=2){Pe=j/ue<<1;const ve=Pe>>>1,me=ve>>>1,Le=me>>>1;for(Te=0;Te<j;Te+=Pe)for(let $e=0,pe=0;$e<=Le;$e+=2,pe+=ue){const X=Te+$e,le=X+me,ke=le+me,Re=ke+me,Xe=I[X],ae=I[X+1],He=I[le],Ve=I[le+1],he=I[ke],Se=I[ke+1],Ke=I[Re],qe=I[Re+1],Ge=Xe,We=ae,st=re[pe],ht=$*re[pe+1],mt=He*st-Ve*ht,ct=He*ht+Ve*st,gt=re[2*pe],W=$*re[2*pe+1],de=he*gt-Se*W,J=he*W+Se*gt,Ee=re[3*pe],Fe=$*re[3*pe+1],Ze=Ke*Ee-qe*Fe,rt=Ke*Fe+qe*Ee,dt=Ge+de,bt=We+J,Ct=Ge-de,Lt=We-J,Nt=mt+Ze,br=ct+rt,Rr=$*(mt-Ze),Yr=$*(ct-rt);if(I[X]=dt+Nt,I[X+1]=bt+br,I[le]=Ct+Yr,I[le+1]=Lt-Rr,$e===0){I[ke]=dt-Nt,I[ke+1]=bt-br;continue}if($e===Le)continue;const nn=Te+me-$e,$n=Te+ve-$e;I[nn]=Ct-$*Yr,I[nn+1]=-Lt-$*Rr,I[$n]=dt-$*Nt,I[$n+1]=-bt+$*br}}const ge=j>>>1;for(let ve=2;ve<ge;ve+=2)I[j-ve]=I[ve],I[j-ve+1]=-I[ve+1]}_singleRealTransform2(I,k,$,j,ce){const ue=I[j],Pe=I[j+ce];k[$]=ue+Pe,k[$+1]=0,k[$+2]=ue-Pe,k[$+3]=0}_singleRealTransform4(I,k,$,j,ce,ue){const Pe=ce*2,Te=ce*3,ie=I[j],oe=I[j+ce],re=I[j+Pe],ge=I[j+Te],ve=ie+re,me=ie-re,Le=oe+ge,$e=ue*(oe-ge);k[$]=ve+Le,k[$+1]=0,k[$+2]=me,k[$+3]=-$e,k[$+4]=ve-Le,k[$+5]=0,k[$+6]=me,k[$+7]=$e}}class S{constructor(I){const k=2*(I-1),$=2*(2*I-1),j=2**Math.ceil(Math.log2($));this.bufferSize=j,this._a=k;const ce=new Float64Array($),ue=new Float64Array(j);this._chirpBuffer=new Float64Array(j),this._buffer1=new Float64Array(j),this._buffer2=new Float64Array(j),this._outBuffer1=new Float64Array(j),this._outBuffer2=new Float64Array(j);const Pe=-2*Math.PI/I,Te=Math.cos(Pe),ie=Math.sin(Pe);for(let oe=0;oe<$>>1;++oe){const re=(oe+1-I)**2/2,ge=Math.sqrt(Te**2+ie**2)**re,ve=re*Math.atan2(ie,Te),me=2*oe;ce[me]=ge*Math.cos(ve),ce[me+1]=ge*Math.sin(ve),ue[me]=ce[me],ue[me+1]=-ce[me+1]}this._slicedChirpBuffer=ce.subarray(k,$),this._f=new M(j>>1),this._f.transform(this._chirpBuffer,ue)}_transform(I,k,$){const j=this._buffer1,ce=this._buffer2,ue=this._outBuffer1,Pe=this._outBuffer2,Te=this._chirpBuffer,ie=this._slicedChirpBuffer,oe=this._a;if($)for(let re=0;re<ie.length;re+=2){const ge=re+1,ve=re>>1,me=k[ve];j[re]=me*ie[re],j[ge]=me*ie[ge]}else for(let re=0;re<ie.length;re+=2){const ge=re+1;j[re]=k[re]*ie[re]-k[ge]*ie[ge],j[ge]=k[re]*ie[ge]+k[ge]*ie[re]}this._f.transform(ue,j);for(let re=0;re<Te.length;re+=2){const ge=re+1;ce[re]=ue[re]*Te[re]-ue[ge]*Te[ge],ce[ge]=ue[re]*Te[ge]+ue[ge]*Te[re]}this._f.inverseTransform(Pe,ce);for(let re=0;re<Pe.length;re+=2){const ge=Pe[re+oe],ve=Pe[re+oe+1],me=ie[re],Le=ie[re+1];I[re]=ge*me-ve*Le,I[re+1]=ge*Le+ve*me}}transform(I,k){this._transform(I,k,!1)}realTransform(I,k){this._transform(I,k,!0)}}class G{constructor(I){this.fft_length=I,this.isPowerOfTwo=w(I),this.isPowerOfTwo?(this.fft=new M(I),this.outputBufferSize=2*I):(this.fft=new S(I),this.outputBufferSize=this.fft.bufferSize)}realTransform(I,k){this.fft.realTransform(I,k)}transform(I,k){this.fft.transform(I,k)}}function H(F,I){if(I%2===0||I<=0)throw new Error("Window size must be a positive odd number");const k=new F.constructor(F.length),$=new F.constructor(I),j=Math.floor(I/2);for(let ce=0;ce<F.length;++ce){let ue=0;for(let Pe=-j;Pe<=j;++Pe){let Te=ce+Pe;Te<0?Te=Math.abs(Te):Te>=F.length&&(Te=2*(F.length-1)-Te),$[ue++]=F[Te]}$.sort(),k[ce]=$[j]}return k}function B(F,I){const k=Math.pow(10,I);return Math.round(F*k)/k}function z(F){const I=Math.round(F);return Math.abs(F)%1===.5?I%2===0?I:I-1:I}function U(F){const I=F.length,k=F[0].length,$=[I+1,k+1],j=Array.from({length:$[0]},()=>Array($[1]).fill(1/0));j[0][0]=0;const ce=Array.from({length:$[0]},()=>Array($[1]).fill(-1));for(let oe=1;oe<$[1];++oe)for(let re=1;re<$[0];++re){const ge=j[re-1][oe-1],ve=j[re-1][oe],me=j[re][oe-1];let Le,$e;ge<ve&&ge<me?(Le=ge,$e=0):ve<ge&&ve<me?(Le=ve,$e=1):(Le=me,$e=2),j[re][oe]=F[re-1][oe-1]+Le,ce[re][oe]=$e}for(let oe=0;oe<$[1];++oe)ce[0][oe]=2;for(let oe=0;oe<$[0];++oe)ce[oe][0]=1;let ue=I,Pe=k,Te=[],ie=[];for(;ue>0||Pe>0;)switch(Te.push(ue-1),ie.push(Pe-1),ce[ue][Pe]){case 0:--ue,--Pe;break;case 1:--ue;break;case 2:--Pe;break;default:throw new Error(`Internal error in dynamic time warping. Unexpected trace[${ue}, ${Pe}]. 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  !*** ./src/transformers.js ***!
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FormerModel;T.RoFormerPreTrainedModel;T.RoFormerTokenizer;T.RobertaForMaskedLM;T.RobertaForQuestionAnswering;T.RobertaForSequenceClassification;T.RobertaForTokenClassification;T.RobertaModel;T.RobertaPreTrainedModel;T.RobertaTokenizer;T.SamImageProcessor;T.SamImageSegmentationOutput;T.SamModel;T.SamPreTrainedModel;T.SamProcessor;T.SapiensForDepthEstimation;T.SapiensForNormalEstimation;T.SapiensForSemanticSegmentation;T.SapiensPreTrainedModel;T.SeamlessM4TFeatureExtractor;T.SegformerFeatureExtractor;T.SegformerForImageClassification;T.SegformerForSemanticSegmentation;T.SegformerImageProcessor;T.SegformerModel;T.SegformerPreTrainedModel;T.Seq2SeqLMOutput;T.SequenceClassifierOutput;T.SiglipImageProcessor;T.SiglipModel;T.SiglipPreTrainedModel;T.SiglipTextModel;T.SiglipTokenizer;T.SiglipVisionModel;T.SpeechT5FeatureExtractor;T.SpeechT5ForSpeechToText;T.SpeechT5ForTextToSpeech;T.SpeechT5HifiGan;T.SpeechT5Model;T.SpeechT5PreTrainedModel;T.SpeechT5Processor;T.SpeechT5Tokenizer;T.SqueezeBertForMaskedLM;T.SqueezeBertForQuestionAnswering;T.SqueezeBertForSequenceClassification;T.SqueezeBertModel;T.SqueezeBertPreTrainedModel;T.SqueezeBertTokenizer;T.StableLmForCausalLM;T.StableLmModel;T.StableLmPreTrainedModel;T.Starcoder2ForCausalLM;T.Starcoder2Model;T.Starcoder2PreTrainedModel;T.StoppingCriteria;T.StoppingCriteriaList;T.StyleTextToSpeech2Model;T.StyleTextToSpeech2PreTrainedModel;T.SummarizationPipeline;T.SuppressTokensAtBeginLogitsProcessor;T.Swin2SRForImageSuperResolution;T.Swin2SRImageProcessor;T.Swin2SRModel;T.Swin2SRPreTrainedModel;T.SwinForImageClassification;T.SwinModel;T.SwinPreTrainedModel;T.T5ForConditionalGeneration;T.T5Model;T.T5PreTrainedModel;T.T5Tokenizer;T.TableTransformerForObjectDetection;T.TableTransformerModel;T.TableTransformerObjectDetectionOutput;T.TableTransformerPreTrainedModel;T.TemperatureLogitsWarper;T.Tensor;T.Text2TextGenerationPipeline;T.TextClassificationPipeline;T.TextGenerationPipeline;var 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Uint16Array('ᵁ<Õıʊҝջאٵ۞ޢߖࠏ੊ઑඡ๭༉༦჊ረዡᐕᒝᓃᓟᔥ\0\0\0\0\0\0ᕫᛍᦍᰒᷝ὾⁠↰⊍⏀⏻⑂⠤⤒ⴈ⹈⿎〖㊺㘹㞬㣾㨨㩱㫠㬮ࠀEMabcfglmnoprstu\\bfms„‹•˜¦³¹ÈÏlig耻Æ䃆P耻&䀦cute耻Á䃁reve;䄂Āiyx}rc耻Â䃂;䐐r;쀀𝔄rave耻À䃀pha;䎑acr;䄀d;橓Āgp¡on;䄄f;쀀𝔸plyFunction;恡ing耻Å䃅Ācs¾Ãr;쀀𝒜ign;扔ilde耻Ã䃃ml耻Ä䃄ЀaceforsuåûþėĜĢħĪĀcrêòkslash;或Ŷöø;櫧ed;挆y;䐑ƀcrtąċĔause;戵noullis;愬a;䎒r;쀀𝔅pf;쀀𝔹eve;䋘còēmpeq;扎܀HOacdefhilorsuōőŖƀƞƢƵƷƺǜȕɳɸɾcy;䐧PY耻©䂩ƀcpyŝŢźute;䄆Ā;iŧŨ拒talDifferentialD;慅leys;愭ȀaeioƉƎƔƘron;䄌dil耻Ç䃇rc;䄈nint;戰ot;䄊ĀdnƧƭilla;䂸terDot;䂷òſi;䎧rcleȀDMPTLJNjǑǖot;抙inus;抖lus;投imes;抗oĀcsǢǸkwiseContourIntegral;戲eCurlyĀDQȃȏoubleQuote;思uote;怙ȀlnpuȞȨɇɕonĀ;eȥȦ户;橴ƀgitȯȶȺruent;扡nt;戯ourIntegral;戮ĀfrɌɎ;愂oduct;成nterClockwiseContourIntegral;戳oss;樯cr;쀀𝒞pĀ;Cʄʅ拓ap;才րDJSZacefiosʠʬʰʴʸˋ˗ˡ˦̳ҍĀ;oŹʥtrahd;椑cy;䐂cy;䐅cy;䐏ƀgrsʿ˄ˇger;怡r;憡hv;櫤Āayː˕ron;䄎;䐔lĀ;t˝˞戇a;䎔r;쀀𝔇Āaf˫̧Ācm˰̢riticalȀADGT̖̜̀̆cute;䂴oŴ̋̍;䋙bleAcute;䋝rave;䁠ilde;䋜ond;拄ferentialD;慆Ѱ̽\0\0\0͔͂\0Ѕf;쀀𝔻ƀ;DE͈͉͍䂨ot;惜qual;扐blèCDLRUVͣͲ΂ϏϢϸontourIntegraìȹoɴ͹\0\0ͻ»͉nArrow;懓Āeo·ΤftƀARTΐΖΡrrow;懐ightArrow;懔eåˊngĀLRΫτeftĀARγιrrow;柸ightArrow;柺ightArrow;柹ightĀATϘϞrrow;懒ee;抨pɁϩ\0\0ϯrrow;懑ownArrow;懕erticalBar;戥ǹABLRTaВЪаўѿͼrrowƀ;BUНОТ憓ar;椓pArrow;懵reve;䌑eft˒к\0ц\0ѐightVector;楐eeVector;楞ectorĀ;Bљњ憽ar;楖ightǔѧ\0ѱeeVector;楟ectorĀ;BѺѻ懁ar;楗eeĀ;A҆҇护rrow;憧ĀctҒҗr;쀀𝒟rok;䄐ࠀNTacdfglmopqstuxҽӀӄӋӞӢӧӮӵԡԯԶՒ՝ՠեG;䅊H耻Ð䃐cute耻É䃉ƀaiyӒӗӜron;䄚rc耻Ê䃊;䐭ot;䄖r;쀀𝔈rave耻È䃈ement;戈ĀapӺӾcr;䄒tyɓԆ\0\0ԒmallSquare;旻erySmallSquare;斫ĀgpԦԪon;䄘f;쀀𝔼silon;䎕uĀaiԼՉlĀ;TՂՃ橵ilde;扂librium;懌Āci՗՚r;愰m;橳a;䎗ml耻Ë䃋Āipժկsts;戃onentialE;慇ʀcfiosօֈ֍ֲ׌y;䐤r;쀀𝔉lledɓ֗\0\0֣mallSquare;旼erySmallSquare;斪Ͱֺ\0ֿ\0\0ׄf;쀀𝔽All;戀riertrf;愱cò׋؀JTabcdfgorstר׬ׯ׺؀ؒؖ؛؝أ٬ٲcy;䐃耻>䀾mmaĀ;d׷׸䎓;䏜reve;䄞ƀeiy؇،ؐdil;䄢rc;䄜;䐓ot;䄠r;쀀𝔊;拙pf;쀀𝔾eater̀EFGLSTصلَٖٛ٦qualĀ;Lؾؿ扥ess;招ullEqual;执reater;檢ess;扷lantEqual;橾ilde;扳cr;쀀𝒢;扫ЀAacfiosuڅڋږڛڞڪھۊRDcy;䐪Āctڐڔek;䋇;䁞irc;䄤r;愌lbertSpace;愋ǰگ\0ڲf;愍izontalLine;攀Āctۃۅòکrok;䄦mpńېۘownHumðįqual;扏܀EJOacdfgmnostuۺ۾܃܇܎ܚܞܡܨ݄ݸދޏޕcy;䐕lig;䄲cy;䐁cute耻Í䃍Āiyܓܘrc耻Î䃎;䐘ot;䄰r;愑rave耻Ì䃌ƀ;apܠܯܿĀcgܴܷr;䄪inaryI;慈lieóϝǴ݉\0ݢĀ;eݍݎ戬Āgrݓݘral;戫section;拂isibleĀCTݬݲomma;恣imes;恢ƀgptݿރވon;䄮f;쀀𝕀a;䎙cr;愐ilde;䄨ǫޚ\0ޞcy;䐆l耻Ï䃏ʀcfosuެ޷޼߂ߐĀiyޱ޵rc;䄴;䐙r;쀀𝔍pf;쀀𝕁ǣ߇\0ߌr;쀀𝒥rcy;䐈kcy;䐄΀HJacfosߤߨ߽߬߱ࠂࠈcy;䐥cy;䐌ppa;䎚Āey߶߻dil;䄶;䐚r;쀀𝔎pf;쀀𝕂cr;쀀𝒦րJTaceflmostࠥࠩࠬࡐࡣ঳সে্਷ੇcy;䐉耻<䀼ʀcmnpr࠷࠼ࡁࡄࡍute;䄹bda;䎛g;柪lacetrf;愒r;憞ƀaeyࡗ࡜ࡡron;䄽dil;䄻;䐛Āfsࡨ॰tԀACDFRTUVarࡾࢩࢱࣦ࣠ࣼयज़ΐ४Ānrࢃ࢏gleBracket;柨rowƀ;BR࢙࢚࢞憐ar;懤ightArrow;懆eiling;挈oǵࢷ\0ࣃbleBracket;柦nǔࣈ\0࣒eeVector;楡ectorĀ;Bࣛࣜ懃ar;楙loor;挊ightĀAV࣯ࣵrrow;憔ector;楎Āerँगeƀ;AVउऊऐ抣rrow;憤ector;楚iangleƀ;BEतथऩ抲ar;槏qual;抴pƀDTVषूौownVector;楑eeVector;楠ectorĀ;Bॖॗ憿ar;楘ectorĀ;B॥०憼ar;楒ightáΜs̀EFGLSTॾঋকঝঢভqualGreater;拚ullEqual;扦reater;扶ess;檡lantEqual;橽ilde;扲r;쀀𝔏Ā;eঽা拘ftarrow;懚idot;䄿ƀnpw৔ਖਛgȀLRlr৞৷ਂਐeftĀAR০৬rrow;柵ightArrow;柷ightArrow;柶eftĀarγਊightáοightáϊf;쀀𝕃erĀLRਢਬeftArrow;憙ightArrow;憘ƀchtਾੀੂòࡌ;憰rok;䅁;扪Ѐacefiosuਗ਼੝੠੷੼અઋ઎p;椅y;䐜Ādl੥੯iumSpace;恟lintrf;愳r;쀀𝔐nusPlus;戓pf;쀀𝕄cò੶;䎜ҀJacefostuણધભીଔଙඑ඗ඞcy;䐊cute;䅃ƀaey઴હાron;䅇dil;䅅;䐝ƀgswે૰଎ativeƀMTV૓૟૨ediumSpace;怋hiĀcn૦૘ë૙eryThiî૙tedĀGL૸ଆreaterGreateòٳessLesóੈLine;䀊r;쀀𝔑ȀBnptଢନଷ଺reak;恠BreakingSpace;䂠f;愕ڀ;CDEGHLNPRSTV୕ୖ୪୼஡௫ఄ౞಄ದ೘ൡඅ櫬Āou୛୤ngruent;扢pCap;扭oubleVerticalBar;戦ƀlqxஃஊ஛ement;戉ualĀ;Tஒஓ扠ilde;쀀≂̸ists;戄reater΀;EFGLSTஶஷ஽௉௓௘௥扯qual;扱ullEqual;쀀≧̸reater;쀀≫̸ess;批lantEqual;쀀⩾̸ilde;扵umpń௲௽ownHump;쀀≎̸qual;쀀≏̸eĀfsఊధtTriangleƀ;BEచఛడ拪ar;쀀⧏̸qual;括s̀;EGLSTవశ఼ౄోౘ扮qual;扰reater;扸ess;쀀≪̸lantEqual;쀀⩽̸ilde;扴estedĀGL౨౹reaterGreater;쀀⪢̸essLess;쀀⪡̸recedesƀ;ESಒಓಛ技qual;쀀⪯̸lantEqual;拠ĀeiಫಹverseElement;戌ghtTriangleƀ;BEೋೌ೒拫ar;쀀⧐̸qual;拭ĀquೝഌuareSuĀbp೨೹setĀ;E೰ೳ쀀⊏̸qual;拢ersetĀ;Eഃആ쀀⊐̸qual;拣ƀbcpഓതൎsetĀ;Eഛഞ쀀⊂⃒qual;抈ceedsȀ;ESTലള഻െ抁qual;쀀⪰̸lantEqual;拡ilde;쀀≿̸ersetĀ;E൘൛쀀⊃⃒qual;抉ildeȀ;EFT൮൯൵ൿ扁qual;扄ullEqual;扇ilde;扉erticalBar;戤cr;쀀𝒩ilde耻Ñ䃑;䎝܀Eacdfgmoprstuvලෂ෉෕ෛ෠෧෼ขภยา฿ไlig;䅒cute耻Ó䃓Āiy෎ීrc耻Ô䃔;䐞blac;䅐r;쀀𝔒rave耻Ò䃒ƀaei෮ෲ෶cr;䅌ga;䎩cron;䎟pf;쀀𝕆enCurlyĀDQฎบoubleQuote;怜uote;怘;橔Āclวฬr;쀀𝒪ash耻Ø䃘iŬื฼de耻Õ䃕es;樷ml耻Ö䃖erĀBP๋๠Āar๐๓r;怾acĀek๚๜;揞et;掴arenthesis;揜Ҁacfhilors๿ງຊຏຒດຝະ໼rtialD;戂y;䐟r;쀀𝔓i;䎦;䎠usMinus;䂱Āipຢອncareplanåڝf;愙Ȁ;eio຺ູ໠໤檻cedesȀ;EST່້໏໚扺qual;檯lantEqual;扼ilde;找me;怳Ādp໩໮uct;戏ortionĀ;aȥ໹l;戝Āci༁༆r;쀀𝒫;䎨ȀUfos༑༖༛༟OT耻"䀢r;쀀𝔔pf;愚cr;쀀𝒬؀BEacefhiorsu༾གྷཇའཱིྦྷྪྭ႖ႩႴႾarr;椐G耻®䂮ƀcnrཎནབute;䅔g;柫rĀ;tཛྷཝ憠l;椖ƀaeyཧཬཱron;䅘dil;䅖;䐠Ā;vླྀཹ愜erseĀEUྂྙĀlq྇ྎement;戋uilibrium;懋pEquilibrium;楯r»ཹo;䎡ghtЀACDFTUVa࿁࿫࿳ဢဨၛႇϘĀnr࿆࿒gleBracket;柩rowƀ;BL࿜࿝࿡憒ar;懥eftArrow;懄eiling;按oǵ࿹\0စbleBracket;柧nǔည\0နeeVector;楝ectorĀ;Bဝသ懂ar;楕loor;挋Āerိ၃eƀ;AVဵံြ抢rrow;憦ector;楛iangleƀ;BEၐၑၕ抳ar;槐qual;抵pƀDTVၣၮၸownVector;楏eeVector;楜ectorĀ;Bႂႃ憾ar;楔ectorĀ;B႑႒懀ar;楓Āpuႛ႞f;愝ndImplies;楰ightarrow;懛ĀchႹႼr;愛;憱leDelayed;槴ڀHOacfhimoqstuფჱჷჽᄙᄞᅑᅖᅡᅧᆵᆻᆿĀCcჩხHcy;䐩y;䐨FTcy;䐬cute;䅚ʀ;aeiyᄈᄉᄎᄓᄗ檼ron;䅠dil;䅞rc;䅜;䐡r;쀀𝔖ortȀDLRUᄪᄴᄾᅉownArrow»ОeftArrow»࢚ightArrow»࿝pArrow;憑gma;䎣allCircle;战pf;쀀𝕊ɲᅭ\0\0ᅰt;戚areȀ;ISUᅻᅼᆉᆯ斡ntersection;抓uĀbpᆏᆞsetĀ;Eᆗᆘ抏qual;抑ersetĀ;Eᆨᆩ抐qual;抒nion;抔cr;쀀𝒮ar;拆ȀbcmpᇈᇛሉላĀ;sᇍᇎ拐etĀ;Eᇍᇕqual;抆ĀchᇠህeedsȀ;ESTᇭᇮᇴᇿ扻qual;檰lantEqual;扽ilde;承Tháྌ;我ƀ;esሒሓሣ拑rsetĀ;Eሜም抃qual;抇et»ሓրHRSacfhiorsሾቄ቉ቕ቞ቱቶኟዂወዑORN耻Þ䃞ADE;愢ĀHc቎ቒcy;䐋y;䐦Ābuቚቜ;䀉;䎤ƀaeyብቪቯron;䅤dil;䅢;䐢r;쀀𝔗Āeiቻ኉Dzኀ\0ኇefore;戴a;䎘Ācn኎ኘkSpace;쀀  Space;怉ldeȀ;EFTካኬኲኼ戼qual;扃ullEqual;扅ilde;扈pf;쀀𝕋ipleDot;惛Āctዖዛr;쀀𝒯rok;䅦ૡዷጎጚጦ\0ጬጱ\0\0\0\0\0ጸጽ፷ᎅ\0᏿ᐄᐊᐐĀcrዻጁute耻Ú䃚rĀ;oጇገ憟cir;楉rǣጓ\0጖y;䐎ve;䅬Āiyጞጣrc耻Û䃛;䐣blac;䅰r;쀀𝔘rave耻Ù䃙acr;䅪Ādiፁ፩erĀBPፈ፝Āarፍፐr;䁟acĀekፗፙ;揟et;掵arenthesis;揝onĀ;P፰፱拃lus;抎Āgp፻፿on;䅲f;쀀𝕌ЀADETadps᎕ᎮᎸᏄϨᏒᏗᏳrrowƀ;BDᅐᎠᎤar;椒ownArrow;懅ownArrow;憕quilibrium;楮eeĀ;AᏋᏌ报rrow;憥ownáϳerĀLRᏞᏨeftArrow;憖ightArrow;憗iĀ;lᏹᏺ䏒on;䎥ing;䅮cr;쀀𝒰ilde;䅨ml耻Ü䃜ҀDbcdefosvᐧᐬᐰᐳᐾᒅᒊᒐᒖash;披ar;櫫y;䐒ashĀ;lᐻᐼ抩;櫦Āerᑃᑅ;拁ƀbtyᑌᑐᑺar;怖Ā;iᑏᑕcalȀBLSTᑡᑥᑪᑴar;戣ine;䁼eparator;杘ilde;所ThinSpace;怊r;쀀𝔙pf;쀀𝕍cr;쀀𝒱dash;抪ʀcefosᒧᒬᒱᒶᒼirc;䅴dge;拀r;쀀𝔚pf;쀀𝕎cr;쀀𝒲Ȁfiosᓋᓐᓒᓘr;쀀𝔛;䎞pf;쀀𝕏cr;쀀𝒳ҀAIUacfosuᓱᓵᓹᓽᔄᔏᔔᔚᔠcy;䐯cy;䐇cy;䐮cute耻Ý䃝Āiyᔉᔍrc;䅶;䐫r;쀀𝔜pf;쀀𝕐cr;쀀𝒴ml;䅸ЀHacdefosᔵᔹᔿᕋᕏᕝᕠᕤcy;䐖cute;䅹Āayᕄᕉron;䅽;䐗ot;䅻Dzᕔ\0ᕛoWidtè૙a;䎖r;愨pf;愤cr;쀀𝒵௡ᖃᖊᖐ\0ᖰᖶᖿ\0\0\0\0ᗆᗛᗫᙟ᙭\0ᚕ᚛ᚲᚹ\0ᚾcute耻á䃡reve;䄃̀;Ediuyᖜᖝᖡᖣᖨᖭ戾;쀀∾̳;房rc耻â䃢te肻´̆;䐰lig耻æ䃦Ā;r²ᖺ;쀀𝔞rave耻à䃠ĀepᗊᗖĀfpᗏᗔsym;愵èᗓha;䎱ĀapᗟcĀclᗤᗧr;䄁g;樿ɤᗰ\0\0ᘊʀ;adsvᗺᗻᗿᘁᘇ戧nd;橕;橜lope;橘;橚΀;elmrszᘘᘙᘛᘞᘿᙏᙙ戠;榤e»ᘙsdĀ;aᘥᘦ戡ѡᘰᘲᘴᘶᘸᘺᘼᘾ;榨;榩;榪;榫;榬;榭;榮;榯tĀ;vᙅᙆ戟bĀ;dᙌᙍ抾;榝Āptᙔᙗh;戢»¹arr;捼Āgpᙣᙧon;䄅f;쀀𝕒΀;Eaeiop዁ᙻᙽᚂᚄᚇᚊ;橰cir;橯;扊d;手s;䀧roxĀ;e዁ᚒñᚃing耻å䃥ƀctyᚡᚦᚨr;쀀𝒶;䀪mpĀ;e዁ᚯñʈilde耻ã䃣ml耻ä䃤Āciᛂᛈoninôɲnt;樑ࠀNabcdefiklnoprsu᛭ᛱᜰ᜼ᝃᝈ᝸᝽០៦ᠹᡐᜍ᤽᥈ᥰot;櫭Ācrᛶ᜞kȀcepsᜀᜅᜍᜓong;扌psilon;䏶rime;怵imĀ;e᜚᜛戽q;拍Ŷᜢᜦee;抽edĀ;gᜬᜭ挅e»ᜭrkĀ;t፜᜷brk;掶Āoyᜁᝁ;䐱quo;怞ʀcmprtᝓ᝛ᝡᝤᝨausĀ;eĊĉptyv;榰séᜌnoõēƀahwᝯ᝱ᝳ;䎲;愶een;扬r;쀀𝔟g΀costuvwឍឝឳេ៕៛៞ƀaiuបពរðݠrc;旯p»፱ƀdptឤឨឭot;樀lus;樁imes;樂ɱឹ\0\0ើcup;樆ar;昅riangleĀdu៍្own;施p;斳plus;樄eåᑄåᒭarow;植ƀako៭ᠦᠵĀcn៲ᠣkƀlst៺֫᠂ozenge;槫riangleȀ;dlr᠒᠓᠘᠝斴own;斾eft;旂ight;斸k;搣Ʊᠫ\0ᠳƲᠯ\0ᠱ;斒;斑4;斓ck;斈ĀeoᠾᡍĀ;qᡃᡆ쀀=⃥uiv;쀀≡⃥t;挐Ȁptwxᡙᡞᡧᡬf;쀀𝕓Ā;tᏋᡣom»Ꮜtie;拈؀DHUVbdhmptuvᢅᢖᢪᢻᣗᣛᣬ᣿ᤅᤊᤐᤡȀLRlrᢎᢐᢒᢔ;敗;敔;敖;敓ʀ;DUduᢡᢢᢤᢦᢨ敐;敦;敩;敤;敧ȀLRlrᢳᢵᢷᢹ;敝;敚;敜;教΀;HLRhlrᣊᣋᣍᣏᣑᣓᣕ救;敬;散;敠;敫;敢;敟ox;槉ȀLRlrᣤᣦᣨᣪ;敕;敒;攐;攌ʀ;DUduڽ᣷᣹᣻᣽;敥;敨;攬;攴inus;抟lus;択imes;抠ȀLRlrᤙᤛᤝ᤟;敛;敘;攘;攔΀;HLRhlrᤰᤱᤳᤵᤷ᤻᤹攂;敪;敡;敞;攼;攤;攜Āevģ᥂bar耻¦䂦Ȁceioᥑᥖᥚᥠr;쀀𝒷mi;恏mĀ;e᜚᜜lƀ;bhᥨᥩᥫ䁜;槅sub;柈Ŭᥴ᥾lĀ;e᥹᥺怢t»᥺pƀ;Eeįᦅᦇ;檮Ā;qۜۛೡᦧ\0᧨ᨑᨕᨲ\0ᨷᩐ\0\0᪴\0\0᫁\0\0ᬡᬮ᭍᭒\0᯽\0ᰌƀcpr᦭ᦲ᧝ute;䄇̀;abcdsᦿᧀᧄ᧊᧕᧙戩nd;橄rcup;橉Āau᧏᧒p;橋p;橇ot;橀;쀀∩︀Āeo᧢᧥t;恁îړȀaeiu᧰᧻ᨁᨅǰ᧵\0᧸s;橍on;䄍dil耻ç䃧rc;䄉psĀ;sᨌᨍ橌m;橐ot;䄋ƀdmnᨛᨠᨦil肻¸ƭptyv;榲t脀¢;eᨭᨮ䂢räƲr;쀀𝔠ƀceiᨽᩀᩍy;䑇ckĀ;mᩇᩈ朓ark»ᩈ;䏇r΀;Ecefms᩟᩠ᩢᩫ᪤᪪᪮旋;槃ƀ;elᩩᩪᩭ䋆q;扗eɡᩴ\0\0᪈rrowĀlr᩼᪁eft;憺ight;憻ʀRSacd᪒᪔᪖᪚᪟»ཇ;擈st;抛irc;抚ash;抝nint;樐id;櫯cir;槂ubsĀ;u᪻᪼晣it»᪼ˬ᫇᫔᫺\0ᬊonĀ;eᫍᫎ䀺Ā;qÇÆɭ᫙\0\0᫢aĀ;t᫞᫟䀬;䁀ƀ;fl᫨᫩᫫戁îᅠeĀmx᫱᫶ent»᫩eóɍǧ᫾\0ᬇĀ;dኻᬂot;橭nôɆƀfryᬐᬔᬗ;쀀𝕔oäɔ脀©;sŕᬝr;愗Āaoᬥᬩrr;憵ss;朗Ācuᬲᬷr;쀀𝒸Ābpᬼ᭄Ā;eᭁᭂ櫏;櫑Ā;eᭉᭊ櫐;櫒dot;拯΀delprvw᭠᭬᭷ᮂᮬᯔ᯹arrĀlr᭨᭪;椸;椵ɰ᭲\0\0᭵r;拞c;拟arrĀ;p᭿ᮀ憶;椽̀;bcdosᮏᮐᮖᮡᮥᮨ截rcap;橈Āauᮛᮞp;橆p;橊ot;抍r;橅;쀀∪︀Ȁalrv᮵ᮿᯞᯣrrĀ;mᮼᮽ憷;椼yƀevwᯇᯔᯘqɰᯎ\0\0ᯒreã᭳uã᭵ee;拎edge;拏en耻¤䂤earrowĀlrᯮ᯳eft»ᮀight»ᮽeäᯝĀciᰁᰇoninôǷnt;戱lcty;挭ঀAHabcdefhijlorstuwz᰸᰻᰿ᱝᱩᱵᲊᲞᲬᲷ᳻᳿ᴍᵻᶑᶫᶻ᷆᷍rò΁ar;楥Ȁglrs᱈ᱍ᱒᱔ger;怠eth;愸òᄳhĀ;vᱚᱛ怐»ऊūᱡᱧarow;椏aã̕Āayᱮᱳron;䄏;䐴ƀ;ao̲ᱼᲄĀgrʿᲁr;懊tseq;橷ƀglmᲑᲔᲘ耻°䂰ta;䎴ptyv;榱ĀirᲣᲨsht;楿;쀀𝔡arĀlrᲳᲵ»ࣜ»သʀaegsv᳂͸᳖᳜᳠mƀ;oș᳊᳔ndĀ;ș᳑uit;晦amma;䏝in;拲ƀ;io᳧᳨᳸䃷de脀÷;o᳧ᳰntimes;拇nø᳷cy;䑒cɯᴆ\0\0ᴊrn;挞op;挍ʀlptuwᴘᴝᴢᵉᵕlar;䀤f;쀀𝕕ʀ;emps̋ᴭᴷᴽᵂqĀ;d͒ᴳot;扑inus;戸lus;戔quare;抡blebarwedgåúnƀadhᄮᵝᵧownarrowóᲃarpoonĀlrᵲᵶefôᲴighôᲶŢᵿᶅkaro÷གɯᶊ\0\0ᶎrn;挟op;挌ƀcotᶘᶣᶦĀryᶝᶡ;쀀𝒹;䑕l;槶rok;䄑Ādrᶰᶴot;拱iĀ;fᶺ᠖斿Āah᷀᷃ròЩaòྦangle;榦Āci᷒ᷕy;䑟grarr;柿ऀDacdefglmnopqrstuxḁḉḙḸոḼṉṡṾấắẽỡἪἷὄ὎὚ĀDoḆᴴoôᲉĀcsḎḔute耻é䃩ter;橮ȀaioyḢḧḱḶron;䄛rĀ;cḭḮ扖耻ê䃪lon;払;䑍ot;䄗ĀDrṁṅot;扒;쀀𝔢ƀ;rsṐṑṗ檚ave耻è䃨Ā;dṜṝ檖ot;檘Ȁ;ilsṪṫṲṴ檙nters;揧;愓Ā;dṹṺ檕ot;檗ƀapsẅẉẗcr;䄓tyƀ;svẒẓẕ戅et»ẓpĀ1;ẝẤijạả;怄;怅怃ĀgsẪẬ;䅋p;怂ĀgpẴẸon;䄙f;쀀𝕖ƀalsỄỎỒrĀ;sỊị拕l;槣us;橱iƀ;lvỚớở䎵on»ớ;䏵ȀcsuvỪỳἋἣĀioữḱrc»Ḯɩỹ\0\0ỻíՈantĀglἂἆtr»ṝess»Ṻƀaeiἒ἖Ἒls;䀽st;扟vĀ;DȵἠD;橸parsl;槥ĀDaἯἳot;打rr;楱ƀcdiἾὁỸr;愯oô͒ĀahὉὋ;䎷耻ð䃰Āmrὓὗl耻ë䃫o;悬ƀcipὡὤὧl;䀡sôծĀeoὬὴctatioîՙnentialåչৡᾒ\0ᾞ\0ᾡᾧ\0\0ῆῌ\0ΐ\0ῦῪ \0 ⁚llingdotseñṄy;䑄male;晀ƀilrᾭᾳ῁lig;耀ffiɩᾹ\0\0᾽g;耀ffig;耀ffl;쀀𝔣lig;耀filig;쀀fjƀaltῙ῜ῡt;晭ig;耀flns;斱of;䆒ǰ΅\0ῳf;쀀𝕗ĀakֿῷĀ;vῼ´拔;櫙artint;樍Āao‌⁕Ācs‑⁒ႉ‸⁅⁈\0⁐β•‥‧‪‬\0‮耻½䂽;慓耻¼䂼;慕;慙;慛Ƴ‴\0‶;慔;慖ʴ‾⁁\0\0⁃耻¾䂾;慗;慜5;慘ƶ⁌\0⁎;慚;慝8;慞l;恄wn;挢cr;쀀𝒻ࢀEabcdefgijlnorstv₂₉₟₥₰₴⃰⃵⃺⃿℃ℒℸ̗ℾ⅒↞Ā;lٍ₇;檌ƀcmpₐₕ₝ute;䇵maĀ;dₜ᳚䎳;檆reve;䄟Āiy₪₮rc;䄝;䐳ot;䄡Ȁ;lqsؾق₽⃉ƀ;qsؾٌ⃄lanô٥Ȁ;cdl٥⃒⃥⃕c;檩otĀ;o⃜⃝檀Ā;l⃢⃣檂;檄Ā;e⃪⃭쀀⋛︀s;檔r;쀀𝔤Ā;gٳ؛mel;愷cy;䑓Ȁ;Eajٚℌℎℐ;檒;檥;檤ȀEaesℛℝ℩ℴ;扩pĀ;p℣ℤ檊rox»ℤĀ;q℮ℯ檈Ā;q℮ℛim;拧pf;쀀𝕘Āci⅃ⅆr;愊mƀ;el٫ⅎ⅐;檎;檐茀>;cdlqr׮ⅠⅪⅮⅳⅹĀciⅥⅧ;檧r;橺ot;拗Par;榕uest;橼ʀadelsↄⅪ←ٖ↛ǰ↉\0↎proø₞r;楸qĀlqؿ↖lesó₈ií٫Āen↣↭rtneqq;쀀≩︀Å↪ԀAabcefkosy⇄⇇⇱⇵⇺∘∝∯≨≽ròΠȀilmr⇐⇔⇗⇛rsðᒄf»․ilôکĀdr⇠⇤cy;䑊ƀ;cwࣴ⇫⇯ir;楈;憭ar;意irc;䄥ƀalr∁∎∓rtsĀ;u∉∊晥it»∊lip;怦con;抹r;쀀𝔥sĀew∣∩arow;椥arow;椦ʀamopr∺∾≃≞≣rr;懿tht;戻kĀlr≉≓eftarrow;憩ightarrow;憪f;쀀𝕙bar;怕ƀclt≯≴≸r;쀀𝒽asè⇴rok;䄧Ābp⊂⊇ull;恃hen»ᱛૡ⊣\0⊪\0⊸⋅⋎\0⋕⋳\0\0⋸⌢⍧⍢⍿\0⎆⎪⎴cute耻í䃭ƀ;iyݱ⊰⊵rc耻î䃮;䐸Ācx⊼⊿y;䐵cl耻¡䂡ĀfrΟ⋉;쀀𝔦rave耻ì䃬Ȁ;inoܾ⋝⋩⋮Āin⋢⋦nt;樌t;戭fin;槜ta;愩lig;䄳ƀaop⋾⌚⌝ƀcgt⌅⌈⌗r;䄫ƀelpܟ⌏⌓inåގarôܠh;䄱f;抷ed;䆵ʀ;cfotӴ⌬⌱⌽⍁are;愅inĀ;t⌸⌹戞ie;槝doô⌙ʀ;celpݗ⍌⍐⍛⍡al;抺Āgr⍕⍙eróᕣã⍍arhk;樗rod;樼Ȁcgpt⍯⍲⍶⍻y;䑑on;䄯f;쀀𝕚a;䎹uest耻¿䂿Āci⎊⎏r;쀀𝒾nʀ;EdsvӴ⎛⎝⎡ӳ;拹ot;拵Ā;v⎦⎧拴;拳Ā;iݷ⎮lde;䄩ǫ⎸\0⎼cy;䑖l耻ï䃯̀cfmosu⏌⏗⏜⏡⏧⏵Āiy⏑⏕rc;䄵;䐹r;쀀𝔧ath;䈷pf;쀀𝕛ǣ⏬\0⏱r;쀀𝒿rcy;䑘kcy;䑔Ѐacfghjos␋␖␢␧␭␱␵␻ppaĀ;v␓␔䎺;䏰Āey␛␠dil;䄷;䐺r;쀀𝔨reen;䄸cy;䑅cy;䑜pf;쀀𝕜cr;쀀𝓀஀ABEHabcdefghjlmnoprstuv⑰⒁⒆⒍⒑┎┽╚▀♎♞♥♹♽⚚⚲⛘❝❨➋⟀⠁⠒ƀart⑷⑺⑼rò৆òΕail;椛arr;椎Ā;gঔ⒋;檋ar;楢ॣ⒥\0⒪\0⒱\0\0\0\0\0⒵Ⓔ\0ⓆⓈⓍ\0⓹ute;䄺mptyv;榴raîࡌbda;䎻gƀ;dlࢎⓁⓃ;榑åࢎ;檅uo耻«䂫rЀ;bfhlpst࢙ⓞⓦⓩ⓫⓮⓱⓵Ā;f࢝ⓣs;椟s;椝ë≒p;憫l;椹im;楳l;憢ƀ;ae⓿─┄檫il;椙Ā;s┉┊檭;쀀⪭︀ƀabr┕┙┝rr;椌rk;杲Āak┢┬cĀek┨┪;䁻;䁛Āes┱┳;榋lĀdu┹┻;榏;榍Ȁaeuy╆╋╖╘ron;䄾Ādi═╔il;䄼ìࢰâ┩;䐻Ȁcqrs╣╦╭╽a;椶uoĀ;rนᝆĀdu╲╷har;楧shar;楋h;憲ʀ;fgqs▋▌উ◳◿扤tʀahlrt▘▤▷◂◨rrowĀ;t࢙□aé⓶arpoonĀdu▯▴own»њp»०eftarrows;懇ightƀahs◍◖◞rrowĀ;sࣴࢧarpoonó྘quigarro÷⇰hreetimes;拋ƀ;qs▋ও◺lanôবʀ;cdgsব☊☍☝☨c;檨otĀ;o☔☕橿Ā;r☚☛檁;檃Ā;e☢☥쀀⋚︀s;檓ʀadegs☳☹☽♉♋pproøⓆot;拖qĀgq♃♅ôউgtò⒌ôছiíলƀilr♕࣡♚sht;楼;쀀𝔩Ā;Eজ♣;檑š♩♶rĀdu▲♮Ā;l॥♳;楪lk;斄cy;䑙ʀ;achtੈ⚈⚋⚑⚖rò◁orneòᴈard;楫ri;旺Āio⚟⚤dot;䅀ustĀ;a⚬⚭掰che»⚭ȀEaes⚻⚽⛉⛔;扨pĀ;p⛃⛄檉rox»⛄Ā;q⛎⛏檇Ā;q⛎⚻im;拦Ѐa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di㩀㩑Ābg㩅㩉ar;機eĀ;qᗺ㩏;扙erp;愘r;쀀𝔴pf;쀀𝕨Ā;eᑹ㩦atèᑹcr;쀀𝓌ૣណ㪇\0㪋\0㪐㪛\0\0㪝㪨㪫㪯\0\0㫃㫎\0㫘ៜ៟tré៑r;쀀𝔵ĀAa㪔㪗ròσrò৶;䎾ĀAa㪡㪤ròθrò৫að✓is;拻ƀdptឤ㪵㪾Āfl㪺ឩ;쀀𝕩imåឲĀAa㫇㫊ròώròਁĀcq㫒ីr;쀀𝓍Āpt៖㫜ré។Ѐacefiosu㫰㫽㬈㬌㬑㬕㬛㬡cĀuy㫶㫻te耻ý䃽;䑏Āiy㬂㬆rc;䅷;䑋n耻¥䂥r;쀀𝔶cy;䑗pf;쀀𝕪cr;쀀𝓎Ācm㬦㬩y;䑎l耻ÿ䃿Ԁacdefhiosw㭂㭈㭔㭘㭤㭩㭭㭴㭺㮀cute;䅺Āay㭍㭒ron;䅾;䐷ot;䅼Āet㭝㭡træᕟa;䎶r;쀀𝔷cy;䐶grarr;懝pf;쀀𝕫cr;쀀𝓏Ājn㮅㮇;怍j;怌'.split("").map(r=>r.charCodeAt(0))),O2=new 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instanceof Map?Bt.map:typeof Set<"u"&&r instanceof Set?Bt.set:typeof Date<"u"&&r instanceof Date?Bt.date:Bt.object;default:return Bt.unknown}},pt=Nr.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]),NM=r=>JSON.stringify(r,null,2).replace(/"([^"]+)":/g,"$1:");class ws extends Error{get errors(){return this.issues}constructor(e){super(),this.issues=[],this.addIssue=n=>{this.issues=[...this.issues,n]},this.addIssues=(n=[])=>{this.issues=[...this.issues,...n]};const t=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,t):this.__proto__=t,this.name="ZodError",this.issues=e}format(e){const t=e||function(o){return o.message},n={_errors:[]},a=o=>{for(const u of o.issues)if(u.code==="invalid_union")u.unionErrors.map(a);else 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RegExp(`^${Gw}$`);function Hw(r){let e="([01]\\d|2[0-3]):[0-5]\\d:[0-5]\\d";return r.precision?e=`${e}\\.\\d{${r.precision}}`:r.precision==null&&(e=`${e}(\\.\\d+)?`),e}function rP(r){return new RegExp(`^${Hw(r)}$`)}function Kw(r){let e=`${Gw}T${Hw(r)}`;const t=[];return t.push(r.local?"Z?":"Z"),r.offset&&t.push("([+-]\\d{2}:?\\d{2})"),e=`${e}(${t.join("|")})`,new RegExp(`^${e}$`)}function nP(r,e){return!!((e==="v4"||!e)&&ZM.test(r)||(e==="v6"||!e)&&XM.test(r))}function sP(r,e){if(!GM.test(r))return!1;try{const[t]=r.split("."),n=t.replace(/-/g,"+").replace(/_/g,"/").padEnd(t.length+(4-t.length%4)%4,"="),a=JSON.parse(atob(n));return!(typeof a!="object"||a===null||!a.typ||!a.alg||e&&a.alg!==e)}catch{return!1}}function aP(r,e){return!!((e==="v4"||!e)&&YM.test(r)||(e==="v6"||!e)&&QM.test(r))}class Zs extends wr{_parse(e){if(this._def.coerce&&(e.data=String(e.data)),this._getType(e)!==Bt.string){const o=this._getOrReturnCtx(e);return $t(o,{code:pt.invalid_type,expected:Bt.string,received:o.parsedType}),lr}const n=new Hn;let a;for(const o of this._def.checks)if(o.kind==="min")e.data.length<o.value&&(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),n.dirty());else if(o.kind==="max")e.data.length>o.value&&(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),n.dirty());else if(o.kind==="length"){const u=e.data.length>o.value,d=e.data.length<o.value;(u||d)&&(a=this._getOrReturnCtx(e,a),u?$t(a,{code:pt.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):d&&$t(a,{code:pt.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),n.dirty())}else if(o.kind==="email")KM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"email",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="emoji")Og||(Og=new RegExp(qM,"u")),Og.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"emoji",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="uuid")VM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"uuid",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="nanoid")WM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"nanoid",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="cuid")jM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"cuid",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="cuid2")zM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"cuid2",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="ulid")UM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"ulid",code:pt.invalid_string,message:o.message}),n.dirty());else if(o.kind==="url")try{new URL(e.data)}catch{a=this._getOrReturnCtx(e,a),$t(a,{validation:"url",code:pt.invalid_string,message:o.message}),n.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"regex",code:pt.invalid_string,message:o.message}),n.dirty())):o.kind==="trim"?e.data=e.data.trim():o.kind==="includes"?e.data.includes(o.value,o.position)||(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),n.dirty()):o.kind==="toLowerCase"?e.data=e.data.toLowerCase():o.kind==="toUpperCase"?e.data=e.data.toUpperCase():o.kind==="startsWith"?e.data.startsWith(o.value)||(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.invalid_string,validation:{startsWith:o.value},message:o.message}),n.dirty()):o.kind==="endsWith"?e.data.endsWith(o.value)||(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.invalid_string,validation:{endsWith:o.value},message:o.message}),n.dirty()):o.kind==="datetime"?Kw(o).test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.invalid_string,validation:"datetime",message:o.message}),n.dirty()):o.kind==="date"?tP.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.invalid_string,validation:"date",message:o.message}),n.dirty()):o.kind==="time"?rP(o).test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.invalid_string,validation:"time",message:o.message}),n.dirty()):o.kind==="duration"?HM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"duration",code:pt.invalid_string,message:o.message}),n.dirty()):o.kind==="ip"?nP(e.data,o.version)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"ip",code:pt.invalid_string,message:o.message}),n.dirty()):o.kind==="jwt"?sP(e.data,o.alg)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"jwt",code:pt.invalid_string,message:o.message}),n.dirty()):o.kind==="cidr"?aP(e.data,o.version)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"cidr",code:pt.invalid_string,message:o.message}),n.dirty()):o.kind==="base64"?JM.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"base64",code:pt.invalid_string,message:o.message}),n.dirty()):o.kind==="base64url"?eP.test(e.data)||(a=this._getOrReturnCtx(e,a),$t(a,{validation:"base64url",code:pt.invalid_string,message:o.message}),n.dirty()):Nr.assertNever(o);return{status:n.value,value:e.data}}_regex(e,t,n){return this.refinement(a=>e.test(a),{validation:t,code:pt.invalid_string,...Ht.errToObj(n)})}_addCheck(e){return new Zs({...this._def,checks:[...this._def.checks,e]})}email(e){return this._addCheck({kind:"email",...Ht.errToObj(e)})}url(e){return this._addCheck({kind:"url",...Ht.errToObj(e)})}emoji(e){return this._addCheck({kind:"emoji",...Ht.errToObj(e)})}uuid(e){return this._addCheck({kind:"uuid",...Ht.errToObj(e)})}nanoid(e){return this._addCheck({kind:"nanoid",...Ht.errToObj(e)})}cuid(e){return this._addCheck({kind:"cuid",...Ht.errToObj(e)})}cuid2(e){return this._addCheck({kind:"cuid2",...Ht.errToObj(e)})}ulid(e){return this._addCheck({kind:"ulid",...Ht.errToObj(e)})}base64(e){return this._addCheck({kind:"base64",...Ht.errToObj(e)})}base64url(e){return this._addCheck({kind:"base64url",...Ht.errToObj(e)})}jwt(e){return this._addCheck({kind:"jwt",...Ht.errToObj(e)})}ip(e){return this._addCheck({kind:"ip",...Ht.errToObj(e)})}cidr(e){return this._addCheck({kind:"cidr",...Ht.errToObj(e)})}datetime(e){var t,n;return typeof e=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,local:!1,message:e}):this._addCheck({kind:"datetime",precision:typeof(e==null?void 0:e.precision)>"u"?null:e==null?void 0:e.precision,offset:(t=e==null?void 0:e.offset)!==null&&t!==void 0?t:!1,local:(n=e==null?void 0:e.local)!==null&&n!==void 0?n:!1,...Ht.errToObj(e==null?void 0:e.message)})}date(e){return this._addCheck({kind:"date",message:e})}time(e){return typeof e=="string"?this._addCheck({kind:"time",precision:null,message:e}):this._addCheck({kind:"time",precision:typeof(e==null?void 0:e.precision)>"u"?null:e==null?void 0:e.precision,...Ht.errToObj(e==null?void 0:e.message)})}duration(e){return this._addCheck({kind:"duration",...Ht.errToObj(e)})}regex(e,t){return this._addCheck({kind:"regex",regex:e,...Ht.errToObj(t)})}includes(e,t){return this._addCheck({kind:"includes",value:e,position:t==null?void 0:t.position,...Ht.errToObj(t==null?void 0:t.message)})}startsWith(e,t){return this._addCheck({kind:"startsWith",value:e,...Ht.errToObj(t)})}endsWith(e,t){return this._addCheck({kind:"endsWith",value:e,...Ht.errToObj(t)})}min(e,t){return this._addCheck({kind:"min",value:e,...Ht.errToObj(t)})}max(e,t){return this._addCheck({kind:"max",value:e,...Ht.errToObj(t)})}length(e,t){return this._addCheck({kind:"length",value:e,...Ht.errToObj(t)})}nonempty(e){return this.min(1,Ht.errToObj(e))}trim(){return new Zs({...this._def,checks:[...this._def.checks,{kind:"trim"}]})}toLowerCase(){return new Zs({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]})}toUpperCase(){return new Zs({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}get isDatetime(){return!!this._def.checks.find(e=>e.kind==="datetime")}get isDate(){return!!this._def.checks.find(e=>e.kind==="date")}get isTime(){return!!this._def.checks.find(e=>e.kind==="time")}get isDuration(){return!!this._def.checks.find(e=>e.kind==="duration")}get isEmail(){return!!this._def.checks.find(e=>e.kind==="email")}get isURL(){return!!this._def.checks.find(e=>e.kind==="url")}get isEmoji(){return!!this._def.checks.find(e=>e.kind==="emoji")}get isUUID(){return!!this._def.checks.find(e=>e.kind==="uuid")}get isNANOID(){return!!this._def.checks.find(e=>e.kind==="nanoid")}get isCUID(){return!!this._def.checks.find(e=>e.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(e=>e.kind==="cuid2")}get isULID(){return!!this._def.checks.find(e=>e.kind==="ulid")}get isIP(){return!!this._def.checks.find(e=>e.kind==="ip")}get isCIDR(){return!!this._def.checks.find(e=>e.kind==="cidr")}get isBase64(){return!!this._def.checks.find(e=>e.kind==="base64")}get isBase64url(){return!!this._def.checks.find(e=>e.kind==="base64url")}get minLength(){let e=null;for(const t of this._def.checks)t.kind==="min"&&(e===null||t.value>e)&&(e=t.value);return e}get maxLength(){let e=null;for(const t of this._def.checks)t.kind==="max"&&(e===null||t.value<e)&&(e=t.value);return e}}Zs.create=r=>{var e;return new Zs({checks:[],typeName:vt.ZodString,coerce:(e=r==null?void 0:r.coerce)!==null&&e!==void 0?e:!1,...gr(r)})};function iP(r,e){const t=(r.toString().split(".")[1]||"").length,n=(e.toString().split(".")[1]||"").length,a=t>n?t:n,o=parseInt(r.toFixed(a).replace(".","")),u=parseInt(e.toFixed(a).replace(".",""));return o%u/Math.pow(10,a)}class Mi extends wr{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(e){if(this._def.coerce&&(e.data=Number(e.data)),this._getType(e)!==Bt.number){const o=this._getOrReturnCtx(e);return $t(o,{code:pt.invalid_type,expected:Bt.number,received:o.parsedType}),lr}let n;const a=new Hn;for(const o of this._def.checks)o.kind==="int"?Nr.isInteger(e.data)||(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.invalid_type,expected:"integer",received:"float",message:o.message}),a.dirty()):o.kind==="min"?(o.inclusive?e.data<o.value:e.data<=o.value)&&(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),a.dirty()):o.kind==="max"?(o.inclusive?e.data>o.value:e.data>=o.value)&&(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),a.dirty()):o.kind==="multipleOf"?iP(e.data,o.value)!==0&&(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.not_multiple_of,multipleOf:o.value,message:o.message}),a.dirty()):o.kind==="finite"?Number.isFinite(e.data)||(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.not_finite,message:o.message}),a.dirty()):Nr.assertNever(o);return{status:a.value,value:e.data}}gte(e,t){return this.setLimit("min",e,!0,Ht.toString(t))}gt(e,t){return this.setLimit("min",e,!1,Ht.toString(t))}lte(e,t){return this.setLimit("max",e,!0,Ht.toString(t))}lt(e,t){return this.setLimit("max",e,!1,Ht.toString(t))}setLimit(e,t,n,a){return new Mi({...this._def,checks:[...this._def.checks,{kind:e,value:t,inclusive:n,message:Ht.toString(a)}]})}_addCheck(e){return new Mi({...this._def,checks:[...this._def.checks,e]})}int(e){return this._addCheck({kind:"int",message:Ht.toString(e)})}positive(e){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Ht.toString(e)})}negative(e){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Ht.toString(e)})}nonpositive(e){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Ht.toString(e)})}nonnegative(e){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Ht.toString(e)})}multipleOf(e,t){return this._addCheck({kind:"multipleOf",value:e,message:Ht.toString(t)})}finite(e){return this._addCheck({kind:"finite",message:Ht.toString(e)})}safe(e){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Ht.toString(e)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Ht.toString(e)})}get minValue(){let e=null;for(const t of this._def.checks)t.kind==="min"&&(e===null||t.value>e)&&(e=t.value);return e}get maxValue(){let e=null;for(const t of this._def.checks)t.kind==="max"&&(e===null||t.value<e)&&(e=t.value);return e}get isInt(){return!!this._def.checks.find(e=>e.kind==="int"||e.kind==="multipleOf"&&Nr.isInteger(e.value))}get isFinite(){let e=null,t=null;for(const n of this._def.checks){if(n.kind==="finite"||n.kind==="int"||n.kind==="multipleOf")return!0;n.kind==="min"?(t===null||n.value>t)&&(t=n.value):n.kind==="max"&&(e===null||n.value<e)&&(e=n.value)}return Number.isFinite(t)&&Number.isFinite(e)}}Mi.create=r=>new Mi({checks:[],typeName:vt.ZodNumber,coerce:(r==null?void 0:r.coerce)||!1,...gr(r)});class Pi extends wr{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(e){if(this._def.coerce)try{e.data=BigInt(e.data)}catch{return this._getInvalidInput(e)}if(this._getType(e)!==Bt.bigint)return this._getInvalidInput(e);let n;const a=new Hn;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?e.data<o.value:e.data<=o.value)&&(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),a.dirty()):o.kind==="max"?(o.inclusive?e.data>o.value:e.data>=o.value)&&(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),a.dirty()):o.kind==="multipleOf"?e.data%o.value!==BigInt(0)&&(n=this._getOrReturnCtx(e,n),$t(n,{code:pt.not_multiple_of,multipleOf:o.value,message:o.message}),a.dirty()):Nr.assertNever(o);return{status:a.value,value:e.data}}_getInvalidInput(e){const t=this._getOrReturnCtx(e);return $t(t,{code:pt.invalid_type,expected:Bt.bigint,received:t.parsedType}),lr}gte(e,t){return this.setLimit("min",e,!0,Ht.toString(t))}gt(e,t){return this.setLimit("min",e,!1,Ht.toString(t))}lte(e,t){return this.setLimit("max",e,!0,Ht.toString(t))}lt(e,t){return this.setLimit("max",e,!1,Ht.toString(t))}setLimit(e,t,n,a){return new Pi({...this._def,checks:[...this._def.checks,{kind:e,value:t,inclusive:n,message:Ht.toString(a)}]})}_addCheck(e){return new Pi({...this._def,checks:[...this._def.checks,e]})}positive(e){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Ht.toString(e)})}negative(e){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Ht.toString(e)})}nonpositive(e){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Ht.toString(e)})}nonnegative(e){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Ht.toString(e)})}multipleOf(e,t){return this._addCheck({kind:"multipleOf",value:e,message:Ht.toString(t)})}get minValue(){let e=null;for(const t of this._def.checks)t.kind==="min"&&(e===null||t.value>e)&&(e=t.value);return e}get maxValue(){let e=null;for(const t of this._def.checks)t.kind==="max"&&(e===null||t.value<e)&&(e=t.value);return e}}Pi.create=r=>{var e;return new Pi({checks:[],typeName:vt.ZodBigInt,coerce:(e=r==null?void 0:r.coerce)!==null&&e!==void 0?e:!1,...gr(r)})};class _p extends wr{_parse(e){if(this._def.coerce&&(e.data=!!e.data),this._getType(e)!==Bt.boolean){const n=this._getOrReturnCtx(e);return $t(n,{code:pt.invalid_type,expected:Bt.boolean,received:n.parsedType}),lr}return es(e.data)}}_p.create=r=>new _p({typeName:vt.ZodBoolean,coerce:(r==null?void 0:r.coerce)||!1,...gr(r)});class xo extends wr{_parse(e){if(this._def.coerce&&(e.data=new Date(e.data)),this._getType(e)!==Bt.date){const o=this._getOrReturnCtx(e);return $t(o,{code:pt.invalid_type,expected:Bt.date,received:o.parsedType}),lr}if(isNaN(e.data.getTime())){const o=this._getOrReturnCtx(e);return $t(o,{code:pt.invalid_date}),lr}const n=new Hn;let a;for(const o of this._def.checks)o.kind==="min"?e.data.getTime()<o.value&&(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),n.dirty()):o.kind==="max"?e.data.getTime()>o.value&&(a=this._getOrReturnCtx(e,a),$t(a,{code:pt.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),n.dirty()):Nr.assertNever(o);return{status:n.value,value:new Date(e.data.getTime())}}_addCheck(e){return new xo({...this._def,checks:[...this._def.checks,e]})}min(e,t){return this._addCheck({kind:"min",value:e.getTime(),message:Ht.toString(t)})}max(e,t){return this._addCheck({kind:"max",value:e.getTime(),message:Ht.toString(t)})}get minDate(){let e=null;for(const t of this._def.checks)t.kind==="min"&&(e===null||t.value>e)&&(e=t.value);return e!=null?new Date(e):null}get maxDate(){let e=null;for(const t of this._def.checks)t.kind==="max"&&(e===null||t.value<e)&&(e=t.value);return e!=null?new Date(e):null}}xo.create=r=>new xo({checks:[],coerce:(r==null?void 0:r.coerce)||!1,typeName:vt.ZodDate,...gr(r)});class c_ extends wr{_parse(e){if(this._getType(e)!==Bt.symbol){const n=this._getOrReturnCtx(e);return $t(n,{code:pt.invalid_type,expected:Bt.symbol,received:n.parsedType}),lr}return es(e.data)}}c_.create=r=>new c_({typeName:vt.ZodSymbol,...gr(r)});class gp extends wr{_parse(e){if(this._getType(e)!==Bt.undefined){const n=this._getOrReturnCtx(e);return $t(n,{code:pt.invalid_type,expected:Bt.undefined,received:n.parsedType}),lr}return es(e.data)}}gp.create=r=>new gp({typeName:vt.ZodUndefined,...gr(r)});class bp extends wr{_parse(e){if(this._getType(e)!==Bt.null){const n=this._getOrReturnCtx(e);return $t(n,{code:pt.invalid_type,expected:Bt.null,received:n.parsedType}),lr}return es(e.data)}}bp.create=r=>new bp({typeName:vt.ZodNull,...gr(r)});class Ll extends wr{constructor(){super(...arguments),this._any=!0}_parse(e){return es(e.data)}}Ll.create=r=>new Ll({typeName:vt.ZodAny,...gr(r)});class wo extends wr{constructor(){super(...arguments),this._unknown=!0}_parse(e){return es(e.data)}}wo.create=r=>new wo({typeName:vt.ZodUnknown,...gr(r)});class Ga extends wr{_parse(e){const t=this._getOrReturnCtx(e);return $t(t,{code:pt.invalid_type,expected:Bt.never,received:t.parsedType}),lr}}Ga.create=r=>new Ga({typeName:vt.ZodNever,...gr(r)});class d_ extends wr{_parse(e){if(this._getType(e)!==Bt.undefined){const n=this._getOrReturnCtx(e);return $t(n,{code:pt.invalid_type,expected:Bt.void,received:n.parsedType}),lr}return es(e.data)}}d_.create=r=>new d_({typeName:vt.ZodVoid,...gr(r)});class Xs extends wr{_parse(e){const{ctx:t,status:n}=this._processInputParams(e),a=this._def;if(t.parsedType!==Bt.array)return $t(t,{code:pt.invalid_type,expected:Bt.array,received:t.parsedType}),lr;if(a.exactLength!==null){const u=t.data.length>a.exactLength.value,d=t.data.length<a.exactLength.value;(u||d)&&($t(t,{code:u?pt.too_big:pt.too_small,minimum:d?a.exactLength.value:void 0,maximum:u?a.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:a.exactLength.message}),n.dirty())}if(a.minLength!==null&&t.data.length<a.minLength.value&&($t(t,{code:pt.too_small,minimum:a.minLength.value,type:"array",inclusive:!0,exact:!1,message:a.minLength.message}),n.dirty()),a.maxLength!==null&&t.data.length>a.maxLength.value&&($t(t,{code:pt.too_big,maximum:a.maxLength.value,type:"array",inclusive:!0,exact:!1,message:a.maxLength.message}),n.dirty()),t.common.async)return Promise.all([...t.data].map((u,d)=>a.type._parseAsync(new Ta(t,u,t.path,d)))).then(u=>Hn.mergeArray(n,u));const o=[...t.data].map((u,d)=>a.type._parseSync(new Ta(t,u,t.path,d)));return Hn.mergeArray(n,o)}get element(){return this._def.type}min(e,t){return new Xs({...this._def,minLength:{value:e,message:Ht.toString(t)}})}max(e,t){return new Xs({...this._def,maxLength:{value:e,message:Ht.toString(t)}})}length(e,t){return new Xs({...this._def,exactLength:{value:e,message:Ht.toString(t)}})}nonempty(e){return this.min(1,e)}}Xs.create=(r,e)=>new Xs({type:r,minLength:null,maxLength:null,exactLength:null,typeName:vt.ZodArray,...gr(e)});function xl(r){if(r instanceof dn){const e={};for(const t in r.shape){const n=r.shape[t];e[t]=Qs.create(xl(n))}return new dn({...r._def,shape:()=>e})}else return r instanceof Xs?new Xs({...r._def,type:xl(r.element)}):r instanceof Qs?Qs.create(xl(r.unwrap())):r instanceof Si?Si.create(xl(r.unwrap())):r instanceof xa?xa.create(r.items.map(e=>xl(e))):r}class dn extends wr{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const e=this._def.shape(),t=Nr.objectKeys(e);return this._cached={shape:e,keys:t}}_parse(e){if(this._getType(e)!==Bt.object){const h=this._getOrReturnCtx(e);return $t(h,{code:pt.invalid_type,expected:Bt.object,received:h.parsedType}),lr}const{status:n,ctx:a}=this._processInputParams(e),{shape:o,keys:u}=this._getCached(),d=[];if(!(this._def.catchall instanceof Ga&&this._def.unknownKeys==="strip"))for(const h in a.data)u.includes(h)||d.push(h);const c=[];for(const h of u){const _=o[h],y=a.data[h];c.push({key:{status:"valid",value:h},value:_._parse(new Ta(a,y,a.path,h)),alwaysSet:h in a.data})}if(this._def.catchall instanceof Ga){const h=this._def.unknownKeys;if(h==="passthrough")for(const _ of d)c.push({key:{status:"valid",value:_},value:{status:"valid",value:a.data[_]}});else if(h==="strict")d.length>0&&($t(a,{code:pt.unrecognized_keys,keys:d}),n.dirty());else if(h!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const h=this._def.catchall;for(const _ of d){const y=a.data[_];c.push({key:{status:"valid",value:_},value:h._parse(new Ta(a,y,a.path,_)),alwaysSet:_ in a.data})}}return a.common.async?Promise.resolve().then(async()=>{const h=[];for(const _ of c){const y=await _.key,w=await _.value;h.push({key:y,value:w,alwaysSet:_.alwaysSet})}return h}).then(h=>Hn.mergeObjectSync(n,h)):Hn.mergeObjectSync(n,c)}get shape(){return this._def.shape()}strict(e){return Ht.errToObj,new dn({...this._def,unknownKeys:"strict",...e!==void 0?{errorMap:(t,n)=>{var a,o,u,d;const c=(u=(o=(a=this._def).errorMap)===null||o===void 0?void 0:o.call(a,t,n).message)!==null&&u!==void 0?u:n.defaultError;return t.code==="unrecognized_keys"?{message:(d=Ht.errToObj(e).message)!==null&&d!==void 0?d:c}:{message:c}}}:{}})}strip(){return new dn({...this._def,unknownKeys:"strip"})}passthrough(){return new dn({...this._def,unknownKeys:"passthrough"})}extend(e){return new dn({...this._def,shape:()=>({...this._def.shape(),...e})})}merge(e){return new dn({unknownKeys:e._def.unknownKeys,catchall:e._def.catchall,shape:()=>({...this._def.shape(),...e._def.shape()}),typeName:vt.ZodObject})}setKey(e,t){return this.augment({[e]:t})}catchall(e){return new dn({...this._def,catchall:e})}pick(e){const t={};return Nr.objectKeys(e).forEach(n=>{e[n]&&this.shape[n]&&(t[n]=this.shape[n])}),new dn({...this._def,shape:()=>t})}omit(e){const t={};return Nr.objectKeys(this.shape).forEach(n=>{e[n]||(t[n]=this.shape[n])}),new dn({...this._def,shape:()=>t})}deepPartial(){return xl(this)}partial(e){const t={};return Nr.objectKeys(this.shape).forEach(n=>{const a=this.shape[n];e&&!e[n]?t[n]=a:t[n]=a.optional()}),new dn({...this._def,shape:()=>t})}required(e){const t={};return Nr.objectKeys(this.shape).forEach(n=>{if(e&&!e[n])t[n]=this.shape[n];else{let o=this.shape[n];for(;o instanceof Qs;)o=o._def.innerType;t[n]=o}}),new dn({...this._def,shape:()=>t})}keyof(){return qw(Nr.objectKeys(this.shape))}}dn.create=(r,e)=>new dn({shape:()=>r,unknownKeys:"strip",catchall:Ga.create(),typeName:vt.ZodObject,...gr(e)});dn.strictCreate=(r,e)=>new dn({shape:()=>r,unknownKeys:"strict",catchall:Ga.create(),typeName:vt.ZodObject,...gr(e)});dn.lazycreate=(r,e)=>new dn({shape:r,unknownKeys:"strip",catchall:Ga.create(),typeName:vt.ZodObject,...gr(e)});class yp extends wr{_parse(e){const{ctx:t}=this._processInputParams(e),n=this._def.options;function a(o){for(const d of o)if(d.result.status==="valid")return d.result;for(const d of o)if(d.result.status==="dirty")return t.common.issues.push(...d.ctx.common.issues),d.result;const u=o.map(d=>new ws(d.ctx.common.issues));return $t(t,{code:pt.invalid_union,unionErrors:u}),lr}if(t.common.async)return Promise.all(n.map(async o=>{const u={...t,common:{...t.common,issues:[]},parent:null};return{result:await o._parseAsync({data:t.data,path:t.path,parent:u}),ctx:u}})).then(a);{let o;const u=[];for(const c of n){const h={...t,common:{...t.common,issues:[]},parent:null},_=c._parseSync({data:t.data,path:t.path,parent:h});if(_.status==="valid")return _;_.status==="dirty"&&!o&&(o={result:_,ctx:h}),h.common.issues.length&&u.push(h.common.issues)}if(o)return t.common.issues.push(...o.ctx.common.issues),o.result;const d=u.map(c=>new ws(c));return $t(t,{code:pt.invalid_union,unionErrors:d}),lr}}get options(){return this._def.options}}yp.create=(r,e)=>new yp({options:r,typeName:vt.ZodUnion,...gr(e)});const za=r=>r instanceof Ep?za(r.schema):r instanceof ea?za(r.innerType()):r instanceof Tp?[r.value]:r instanceof Ci?r.options:r instanceof xp?Nr.objectValues(r.enum):r instanceof Mp?za(r._def.innerType):r instanceof gp?[void 0]:r instanceof bp?[null]:r instanceof Qs?[void 0,...za(r.unwrap())]:r instanceof Si?[null,...za(r.unwrap())]:r instanceof j0||r instanceof Cp?za(r.unwrap()):r instanceof Pp?za(r._def.innerType):[];class I_ extends wr{_parse(e){const{ctx:t}=this._processInputParams(e);if(t.parsedType!==Bt.object)return $t(t,{code:pt.invalid_type,expected:Bt.object,received:t.parsedType}),lr;const n=this.discriminator,a=t.data[n],o=this.optionsMap.get(a);return o?t.common.async?o._parseAsync({data:t.data,path:t.path,parent:t}):o._parseSync({data:t.data,path:t.path,parent:t}):($t(t,{code:pt.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[n]}),lr)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(e,t,n){const a=new Map;for(const o of t){const u=za(o.shape[e]);if(!u.length)throw new Error(`A discriminator value for key \`${e}\` could not be extracted from all schema options`);for(const d of u){if(a.has(d))throw new Error(`Discriminator property ${String(e)} has duplicate value ${String(d)}`);a.set(d,o)}}return new I_({typeName:vt.ZodDiscriminatedUnion,discriminator:e,options:t,optionsMap:a,...gr(n)})}}function f0(r,e){const t=Ua(r),n=Ua(e);if(r===e)return{valid:!0,data:r};if(t===Bt.object&&n===Bt.object){const a=Nr.objectKeys(e),o=Nr.objectKeys(r).filter(d=>a.indexOf(d)!==-1),u={...r,...e};for(const d of o){const c=f0(r[d],e[d]);if(!c.valid)return{valid:!1};u[d]=c.data}return{valid:!0,data:u}}else if(t===Bt.array&&n===Bt.array){if(r.length!==e.length)return{valid:!1};const a=[];for(let o=0;o<r.length;o++){const u=r[o],d=e[o],c=f0(u,d);if(!c.valid)return{valid:!1};a.push(c.data)}return{valid:!0,data:a}}else return t===Bt.date&&n===Bt.date&&+r==+e?{valid:!0,data:r}:{valid:!1}}class wp extends wr{_parse(e){const{status:t,ctx:n}=this._processInputParams(e),a=(o,u)=>{if(d0(o)||d0(u))return lr;const d=f0(o.value,u.value);return d.valid?((h0(o)||h0(u))&&t.dirty(),{status:t.value,value:d.data}):($t(n,{code:pt.invalid_intersection_types}),lr)};return n.common.async?Promise.all([this._def.left._parseAsync({data:n.data,path:n.path,parent:n}),this._def.right._parseAsync({data:n.data,path:n.path,parent:n})]).then(([o,u])=>a(o,u)):a(this._def.left._parseSync({data:n.data,path:n.path,parent:n}),this._def.right._parseSync({data:n.data,path:n.path,parent:n}))}}wp.create=(r,e,t)=>new wp({left:r,right:e,typeName:vt.ZodIntersection,...gr(t)});class xa extends wr{_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==Bt.array)return $t(n,{code:pt.invalid_type,expected:Bt.array,received:n.parsedType}),lr;if(n.data.length<this._def.items.length)return $t(n,{code:pt.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),lr;!this._def.rest&&n.data.length>this._def.items.length&&($t(n,{code:pt.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),t.dirty());const o=[...n.data].map((u,d)=>{const c=this._def.items[d]||this._def.rest;return c?c._parse(new Ta(n,u,n.path,d)):null}).filter(u=>!!u);return n.common.async?Promise.all(o).then(u=>Hn.mergeArray(t,u)):Hn.mergeArray(t,o)}get items(){return this._def.items}rest(e){return new xa({...this._def,rest:e})}}xa.create=(r,e)=>{if(!Array.isArray(r))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new xa({items:r,typeName:vt.ZodTuple,rest:null,...gr(e)})};class vp extends wr{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==Bt.object)return $t(n,{code:pt.invalid_type,expected:Bt.object,received:n.parsedType}),lr;const a=[],o=this._def.keyType,u=this._def.valueType;for(const d in n.data)a.push({key:o._parse(new Ta(n,d,n.path,d)),value:u._parse(new Ta(n,n.data[d],n.path,d)),alwaysSet:d in n.data});return n.common.async?Hn.mergeObjectAsync(t,a):Hn.mergeObjectSync(t,a)}get element(){return this._def.valueType}static create(e,t,n){return t instanceof wr?new vp({keyType:e,valueType:t,typeName:vt.ZodRecord,...gr(n)}):new vp({keyType:Zs.create(),valueType:e,typeName:vt.ZodRecord,...gr(t)})}}class h_ extends wr{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==Bt.map)return $t(n,{code:pt.invalid_type,expected:Bt.map,received:n.parsedType}),lr;const a=this._def.keyType,o=this._def.valueType,u=[...n.data.entries()].map(([d,c],h)=>({key:a._parse(new Ta(n,d,n.path,[h,"key"])),value:o._parse(new Ta(n,c,n.path,[h,"value"]))}));if(n.common.async){const d=new Map;return Promise.resolve().then(async()=>{for(const c of u){const h=await c.key,_=await c.value;if(h.status==="aborted"||_.status==="aborted")return lr;(h.status==="dirty"||_.status==="dirty")&&t.dirty(),d.set(h.value,_.value)}return{status:t.value,value:d}})}else{const d=new Map;for(const c of u){const h=c.key,_=c.value;if(h.status==="aborted"||_.status==="aborted")return lr;(h.status==="dirty"||_.status==="dirty")&&t.dirty(),d.set(h.value,_.value)}return{status:t.value,value:d}}}}h_.create=(r,e,t)=>new h_({valueType:e,keyType:r,typeName:vt.ZodMap,...gr(t)});class Mo extends wr{_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.parsedType!==Bt.set)return $t(n,{code:pt.invalid_type,expected:Bt.set,received:n.parsedType}),lr;const a=this._def;a.minSize!==null&&n.data.size<a.minSize.value&&($t(n,{code:pt.too_small,minimum:a.minSize.value,type:"set",inclusive:!0,exact:!1,message:a.minSize.message}),t.dirty()),a.maxSize!==null&&n.data.size>a.maxSize.value&&($t(n,{code:pt.too_big,maximum:a.maxSize.value,type:"set",inclusive:!0,exact:!1,message:a.maxSize.message}),t.dirty());const o=this._def.valueType;function u(c){const h=new Set;for(const _ of c){if(_.status==="aborted")return lr;_.status==="dirty"&&t.dirty(),h.add(_.value)}return{status:t.value,value:h}}const d=[...n.data.values()].map((c,h)=>o._parse(new Ta(n,c,n.path,h)));return n.common.async?Promise.all(d).then(c=>u(c)):u(d)}min(e,t){return new Mo({...this._def,minSize:{value:e,message:Ht.toString(t)}})}max(e,t){return new Mo({...this._def,maxSize:{value:e,message:Ht.toString(t)}})}size(e,t){return this.min(e,t).max(e,t)}nonempty(e){return this.min(1,e)}}Mo.create=(r,e)=>new Mo({valueType:r,minSize:null,maxSize:null,typeName:vt.ZodSet,...gr(e)});class kl extends wr{constructor(){super(...arguments),this.validate=this.implement}_parse(e){const{ctx:t}=this._processInputParams(e);if(t.parsedType!==Bt.function)return $t(t,{code:pt.invalid_type,expected:Bt.function,received:t.parsedType}),lr;function n(d,c){return u_({data:d,path:t.path,errorMaps:[t.common.contextualErrorMap,t.schemaErrorMap,o_(),Ol].filter(h=>!!h),issueData:{code:pt.invalid_arguments,argumentsError:c}})}function a(d,c){return u_({data:d,path:t.path,errorMaps:[t.common.contextualErrorMap,t.schemaErrorMap,o_(),Ol].filter(h=>!!h),issueData:{code:pt.invalid_return_type,returnTypeError:c}})}const o={errorMap:t.common.contextualErrorMap},u=t.data;if(this._def.returns instanceof Rl){const d=this;return es(async function(...c){const h=new ws([]),_=await d._def.args.parseAsync(c,o).catch(M=>{throw h.addIssue(n(c,M)),h}),y=await Reflect.apply(u,this,_);return await d._def.returns._def.type.parseAsync(y,o).catch(M=>{throw h.addIssue(a(y,M)),h})})}else{const d=this;return es(function(...c){const h=d._def.args.safeParse(c,o);if(!h.success)throw new ws([n(c,h.error)]);const _=Reflect.apply(u,this,h.data),y=d._def.returns.safeParse(_,o);if(!y.success)throw new ws([a(_,y.error)]);return y.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...e){return new kl({...this._def,args:xa.create(e).rest(wo.create())})}returns(e){return new kl({...this._def,returns:e})}implement(e){return this.parse(e)}strictImplement(e){return this.parse(e)}static create(e,t,n){return new kl({args:e||xa.create([]).rest(wo.create()),returns:t||wo.create(),typeName:vt.ZodFunction,...gr(n)})}}class Ep extends wr{get schema(){return this._def.getter()}_parse(e){const{ctx:t}=this._processInputParams(e);return this._def.getter()._parse({data:t.data,path:t.path,parent:t})}}Ep.create=(r,e)=>new Ep({getter:r,typeName:vt.ZodLazy,...gr(e)});class Tp extends wr{_parse(e){if(e.data!==this._def.value){const t=this._getOrReturnCtx(e);return $t(t,{received:t.data,code:pt.invalid_literal,expected:this._def.value}),lr}return{status:"valid",value:e.data}}get value(){return this._def.value}}Tp.create=(r,e)=>new Tp({value:r,typeName:vt.ZodLiteral,...gr(e)});function qw(r,e){return new Ci({values:r,typeName:vt.ZodEnum,...gr(e)})}class Ci extends wr{constructor(){super(...arguments),tp.set(this,void 0)}_parse(e){if(typeof e.data!="string"){const t=this._getOrReturnCtx(e),n=this._def.values;return $t(t,{expected:Nr.joinValues(n),received:t.parsedType,code:pt.invalid_type}),lr}if(l_(this,tp)||Ww(this,tp,new Set(this._def.values)),!l_(this,tp).has(e.data)){const t=this._getOrReturnCtx(e),n=this._def.values;return $t(t,{received:t.data,code:pt.invalid_enum_value,options:n}),lr}return es(e.data)}get options(){return this._def.values}get enum(){const e={};for(const t of this._def.values)e[t]=t;return e}get Values(){const e={};for(const t of this._def.values)e[t]=t;return e}get Enum(){const e={};for(const t of this._def.values)e[t]=t;return e}extract(e,t=this._def){return Ci.create(e,{...this._def,...t})}exclude(e,t=this._def){return Ci.create(this.options.filter(n=>!e.includes(n)),{...this._def,...t})}}tp=new WeakMap;Ci.create=qw;class xp extends wr{constructor(){super(...arguments),rp.set(this,void 0)}_parse(e){const t=Nr.getValidEnumValues(this._def.values),n=this._getOrReturnCtx(e);if(n.parsedType!==Bt.string&&n.parsedType!==Bt.number){const a=Nr.objectValues(t);return $t(n,{expected:Nr.joinValues(a),received:n.parsedType,code:pt.invalid_type}),lr}if(l_(this,rp)||Ww(this,rp,new Set(Nr.getValidEnumValues(this._def.values))),!l_(this,rp).has(e.data)){const a=Nr.objectValues(t);return $t(n,{received:n.data,code:pt.invalid_enum_value,options:a}),lr}return es(e.data)}get enum(){return this._def.values}}rp=new WeakMap;xp.create=(r,e)=>new xp({values:r,typeName:vt.ZodNativeEnum,...gr(e)});class Rl extends wr{unwrap(){return this._def.type}_parse(e){const{ctx:t}=this._processInputParams(e);if(t.parsedType!==Bt.promise&&t.common.async===!1)return $t(t,{code:pt.invalid_type,expected:Bt.promise,received:t.parsedType}),lr;const n=t.parsedType===Bt.promise?t.data:Promise.resolve(t.data);return es(n.then(a=>this._def.type.parseAsync(a,{path:t.path,errorMap:t.common.contextualErrorMap})))}}Rl.create=(r,e)=>new Rl({type:r,typeName:vt.ZodPromise,...gr(e)});class ea extends wr{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===vt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(e){const{status:t,ctx:n}=this._processInputParams(e),a=this._def.effect||null,o={addIssue:u=>{$t(n,u),u.fatal?t.abort():t.dirty()},get path(){return n.path}};if(o.addIssue=o.addIssue.bind(o),a.type==="preprocess"){const u=a.transform(n.data,o);if(n.common.async)return Promise.resolve(u).then(async d=>{if(t.value==="aborted")return lr;const c=await this._def.schema._parseAsync({data:d,path:n.path,parent:n});return c.status==="aborted"?lr:c.status==="dirty"||t.value==="dirty"?Pl(c.value):c});{if(t.value==="aborted")return lr;const d=this._def.schema._parseSync({data:u,path:n.path,parent:n});return d.status==="aborted"?lr:d.status==="dirty"||t.value==="dirty"?Pl(d.value):d}}if(a.type==="refinement"){const u=d=>{const c=a.refinement(d,o);if(n.common.async)return Promise.resolve(c);if(c instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. 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Use .parseAsync instead.");return{status:t.value,value:d}}else return this._def.schema._parseAsync({data:n.data,path:n.path,parent:n}).then(u=>To(u)?Promise.resolve(a.transform(u.value,o)).then(d=>({status:t.value,value:d})):u);Nr.assertNever(a)}}ea.create=(r,e,t)=>new ea({schema:r,typeName:vt.ZodEffects,effect:e,...gr(t)});ea.createWithPreprocess=(r,e,t)=>new ea({schema:e,effect:{type:"preprocess",transform:r},typeName:vt.ZodEffects,...gr(t)});class Qs extends wr{_parse(e){return this._getType(e)===Bt.undefined?es(void 0):this._def.innerType._parse(e)}unwrap(){return this._def.innerType}}Qs.create=(r,e)=>new Qs({innerType:r,typeName:vt.ZodOptional,...gr(e)});class Si extends wr{_parse(e){return this._getType(e)===Bt.null?es(null):this._def.innerType._parse(e)}unwrap(){return this._def.innerType}}Si.create=(r,e)=>new Si({innerType:r,typeName:vt.ZodNullable,...gr(e)});class Mp extends wr{_parse(e){const{ctx:t}=this._processInputParams(e);let n=t.data;return t.parsedType===Bt.undefined&&(n=this._def.defaultValue()),this._def.innerType._parse({data:n,path:t.path,parent:t})}removeDefault(){return this._def.innerType}}Mp.create=(r,e)=>new Mp({innerType:r,typeName:vt.ZodDefault,defaultValue:typeof e.default=="function"?e.default:()=>e.default,...gr(e)});class Pp extends wr{_parse(e){const{ctx:t}=this._processInputParams(e),n={...t,common:{...t.common,issues:[]}},a=this._def.innerType._parse({data:n.data,path:n.path,parent:{...n}});return mp(a)?a.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new ws(n.common.issues)},input:n.data})})):{status:"valid",value:a.status==="valid"?a.value:this._def.catchValue({get error(){return new ws(n.common.issues)},input:n.data})}}removeCatch(){return this._def.innerType}}Pp.create=(r,e)=>new Pp({innerType:r,typeName:vt.ZodCatch,catchValue:typeof e.catch=="function"?e.catch:()=>e.catch,...gr(e)});class f_ extends wr{_parse(e){if(this._getType(e)!==Bt.nan){const n=this._getOrReturnCtx(e);return $t(n,{code:pt.invalid_type,expected:Bt.nan,received:n.parsedType}),lr}return{status:"valid",value:e.data}}}f_.create=r=>new f_({typeName:vt.ZodNaN,...gr(r)});const oP=Symbol("zod_brand");class j0 extends wr{_parse(e){const{ctx:t}=this._processInputParams(e),n=t.data;return this._def.type._parse({data:n,path:t.path,parent:t})}unwrap(){return this._def.type}}class Lp extends wr{_parse(e){const{status:t,ctx:n}=this._processInputParams(e);if(n.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:n.data,path:n.path,parent:n});return o.status==="aborted"?lr:o.status==="dirty"?(t.dirty(),Pl(o.value)):this._def.out._parseAsync({data:o.value,path:n.path,parent:n})})();{const a=this._def.in._parseSync({data:n.data,path:n.path,parent:n});return a.status==="aborted"?lr:a.status==="dirty"?(t.dirty(),{status:"dirty",value:a.value}):this._def.out._parseSync({data:a.value,path:n.path,parent:n})}}static create(e,t){return new Lp({in:e,out:t,typeName:vt.ZodPipeline})}}class Cp extends wr{_parse(e){const t=this._def.innerType._parse(e),n=a=>(To(a)&&(a.value=Object.freeze(a.value)),a);return mp(t)?t.then(a=>n(a)):n(t)}unwrap(){return this._def.innerType}}Cp.create=(r,e)=>new Cp({innerType:r,typeName:vt.ZodReadonly,...gr(e)});function Zw(r,e={},t){return r?Ll.create().superRefine((n,a)=>{var o,u;if(!r(n)){const d=typeof e=="function"?e(n):typeof e=="string"?{message:e}:e,c=(u=(o=d.fatal)!==null&&o!==void 0?o:t)!==null&&u!==void 0?u:!0,h=typeof d=="string"?{message:d}:d;a.addIssue({code:"custom",...h,fatal:c})}}):Ll.create()}const uP={object:dn.lazycreate};var vt;(function(r){r.ZodString="ZodString",r.ZodNumber="ZodNumber",r.ZodNaN="ZodNaN",r.ZodBigInt="ZodBigInt",r.ZodBoolean="ZodBoolean",r.ZodDate="ZodDate",r.ZodSymbol="ZodSymbol",r.ZodUndefined="ZodUndefined",r.ZodNull="ZodNull",r.ZodAny="ZodAny",r.ZodUnknown="ZodUnknown",r.ZodNever="ZodNever",r.ZodVoid="ZodVoid",r.ZodArray="ZodArray",r.ZodObject="ZodObject",r.ZodUnion="ZodUnion",r.ZodDiscriminatedUnion="ZodDiscriminatedUnion",r.ZodIntersection="ZodIntersection",r.ZodTuple="ZodTuple",r.ZodRecord="ZodRecord",r.ZodMap="ZodMap",r.ZodSet="ZodSet",r.ZodFunction="ZodFunction",r.ZodLazy="ZodLazy",r.ZodLiteral="ZodLiteral",r.ZodEnum="ZodEnum",r.ZodEffects="ZodEffects",r.ZodNativeEnum="ZodNativeEnum",r.ZodOptional="ZodOptional",r.ZodNullable="ZodNullable",r.ZodDefault="ZodDefault",r.ZodCatch="ZodCatch",r.ZodPromise="ZodPromise",r.ZodBranded="ZodBranded",r.ZodPipeline="ZodPipeline",r.ZodReadonly="ZodReadonly"})(vt||(vt={}));const lP=(r,e={message:`Input not instance of ${r.name}`})=>Zw(t=>t 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n)_===y?d.push(_):!y&&_===u[0]?d.push("*"):y?_===u[0]?d.push(`<=${y}`):d.push(`${_} - ${y}`):d.push(`>=${_}`);const c=d.join(" || "),h=typeof e.raw=="string"?e.raw:String(e);return c.length<h.length?c:e};const M1=ra(),Z0=N_(),{ANY:Bg}=Z0,Qf=D_,Y0=ta,vA=(r,e,t={})=>{if(r===e)return!0;r=new M1(r,t),e=new M1(e,t);let n=!1;e:for(const a of r.set){for(const o of e.set){const u=TA(a,o,t);if(n=n||u!==null,u)continue e}if(n)return!1}return!0},EA=[new Z0(">=0.0.0-0")],P1=[new Z0(">=0.0.0")],TA=(r,e,t)=>{if(r===e)return!0;if(r.length===1&&r[0].semver===Bg){if(e.length===1&&e[0].semver===Bg)return!0;t.includePrerelease?r=EA:r=P1}if(e.length===1&&e[0].semver===Bg){if(t.includePrerelease)return!0;e=P1}const n=new Set;let a,o;for(const M of r)M.operator===">"||M.operator===">="?a=C1(a,M,t):M.operator==="<"||M.operator==="<="?o=S1(o,M,t):n.add(M.semver);if(n.size>1)return null;let u;if(a&&o){if(u=Y0(a.semver,o.semver,t),u>0)return null;if(u===0&&(a.operator!==">="||o.operator!=="<="))return null}for(const M of n){if(a&&!Qf(M,String(a),t)||o&&!Qf(M,String(o),t))return null;for(const S of e)if(!Qf(M,String(S),t))return!1;return!0}let d,c,h,_,y=o&&!t.includePrerelease&&o.semver.prerelease.length?o.semver:!1,w=a&&!t.includePrerelease&&a.semver.prerelease.length?a.semver:!1;y&&y.prerelease.length===1&&o.operator==="<"&&y.prerelease[0]===0&&(y=!1);for(const M of e){if(_=_||M.operator===">"||M.operator===">=",h=h||M.operator==="<"||M.operator==="<=",a){if(w&&M.semver.prerelease&&M.semver.prerelease.length&&M.semver.major===w.major&&M.semver.minor===w.minor&&M.semver.patch===w.patch&&(w=!1),M.operator===">"||M.operator===">="){if(d=C1(a,M,t),d===M&&d!==a)return!1}else if(a.operator===">="&&!Qf(a.semver,String(M),t))return!1}if(o){if(y&&M.semver.prerelease&&M.semver.prerelease.length&&M.semver.major===y.major&&M.semver.minor===y.minor&&M.semver.patch===y.patch&&(y=!1),M.operator==="<"||M.operator==="<="){if(c=S1(o,M,t),c===M&&c!==o)return!1}else if(o.operator==="<="&&!Qf(o.semver,String(M),t))return!1}if(!M.operator&&(o||a)&&u!==0)return!1}return!(a&&h&&!o&&u!==0||o&&_&&!a&&u!==0||w||y)},C1=(r,e,t)=>{if(!r)return e;const n=Y0(r.semver,e.semver,t);return n>0?r:n<0||e.operator===">"&&r.operator===">="?e:r},S1=(r,e,t)=>{if(!r)return e;const n=Y0(r.semver,e.semver,t);return n<0?r:n>0||e.operator==="<"&&r.operator==="<="?e:r};var xA=vA;const jg=Rp,A1=L_,MA=ts,k1=cv,PA=Wl,CA=OC,SA=FC,AA=DC,kA=jC,IA=VC,$A=HC,OA=ZC,LA=QC,RA=ta,FA=rS,NA=aS,DA=W0,BA=lS,jA=hS,zA=F_,UA=G0,VA=dv,WA=hv,GA=H0,HA=K0,KA=fv,qA=RS,ZA=N_(),YA=ra(),XA=D_,QA=US,JA=HS,e3=YS,t3=JS,r3=rA,n3=q0,s3=hA,a3=mA,i3=gA,o3=wA,u3=xA;jg.re,jg.src,jg.t,A1.SEMVER_SPEC_VERSION,A1.RELEASE_TYPES,k1.compareIdentifiers,k1.rcompareIdentifiers;function gi(r){if(!r||r.split("/").length>2||r.startsWith("/")||r.endsWith("/")||r.split(":").length>2)throw new Error(`Invalid identifier format: ${r}`);const[e,t]=r.split(":"),n=t||"latest";if(e.includes("/")){const[a,o]=e.split("/",2);if(!a||!o)throw new Error(`Invalid identifier format: ${r}`);return[a,o,n]}else{if(!e)throw new Error(`Invalid identifier format: ${r}`);return["-",e,n]}}class l3 extends Error{constructor(e){super(e),this.name="LangSmithConflictError"}}async function yr(r,e,t){let n;if(r.ok){t&&(n=await r.text());return}n=await r.text();const a=`Failed to ${e}. Received status [${r.status}]: ${r.statusText}. Server response: ${n}`;throw r.status===409?new l3(a):new Error(a)}var I1="[...]",c3={result:"[Circular]"},m_=[],Cl=[];function d3(){return{depthLimit:Number.MAX_SAFE_INTEGER,edgesLimit:Number.MAX_SAFE_INTEGER}}function bs(r,e,t,n){var u;try{return JSON.stringify(r,e,t)}catch(d){if(!((u=d.message)!=null&&u.includes("Converting circular structure to JSON")))return console.warn("[WARNING]: LangSmith received unserializable value."),"[Unserializable]";console.warn("[WARNING]: LangSmith received circular JSON. This will decrease tracer performance."),typeof n>"u"&&(n=d3()),m0(r,"",0,[],void 0,0,n);var a;try{Cl.length===0?a=JSON.stringify(r,e,t):a=JSON.stringify(r,h3(e),t)}catch{return JSON.stringify("[unable to serialize, circular reference is too complex to analyze]")}finally{for(;m_.length!==0;){var o=m_.pop();o.length===4?Object.defineProperty(o[0],o[1],o[3]):o[0][o[1]]=o[2]}}return a}}function zg(r,e,t,n){var a=Object.getOwnPropertyDescriptor(n,t);a.get!==void 0?a.configurable?(Object.defineProperty(n,t,{value:r}),m_.push([n,t,e,a])):Cl.push([e,t,r]):(n[t]=r,m_.push([n,t,e]))}function m0(r,e,t,n,a,o,u){o+=1;var d;if(typeof r=="object"&&r!==null){for(d=0;d<n.length;d++)if(n[d]===r){zg(c3,r,e,a);return}if(typeof u.depthLimit<"u"&&o>u.depthLimit){zg(I1,r,e,a);return}if(typeof u.edgesLimit<"u"&&t+1>u.edgesLimit){zg(I1,r,e,a);return}if(n.push(r),Array.isArray(r))for(d=0;d<r.length;d++)m0(r[d],d,d,n,r,o,u);else{var c=Object.keys(r);for(d=0;d<c.length;d++){var h=c[d];m0(r[h],h,d,n,r,o,u)}}n.pop()}}function h3(r){return r=typeof r<"u"?r:function(e,t){return t},function(e,t){if(Cl.length>0)for(var n=0;n<Cl.length;n++){var a=Cl[n];if(a[1]===e&&a[0]===t){t=a[2],Cl.splice(n,1);break}}return r.call(this,e,t)}}function $1(r){const e=gv(),t=M3(),n=r.extra??{},a=n.metadata;return r.extra={...n,runtime:{...e,...n==null?void 0:n.runtime},metadata:{...t,...t.revision_id||r.revision_id?{revision_id:r.revision_id??t.revision_id}:{},...a}},r}const f3=()=>{const r=go("TRACING_SAMPLING_RATE");if(r===void 0)return;const e=parseFloat(r);if(e<0||e>1)throw new Error(`LANGSMITH_TRACING_SAMPLING_RATE must be between 0 and 1 if set. Got: ${e}`);return e},p3=r=>{const t=r.replace("http://","").replace("https://","").split("/")[0].split(":")[0];return t==="localhost"||t==="127.0.0.1"||t==="::1"};async function m3(r){const e=[];for await(const t of r)e.push(t);return e}function Ug(r){if(r!==void 0)return r.trim().replace(/^"(.*)"$/,"$1").replace(/^'(.*)'$/,"$1")}const _3=async r=>{if((r==null?void 0:r.status)===429){const e=parseInt(r.headers.get("retry-after")??"30",10)*1e3;if(e>0)return await new Promise(t=>setTimeout(t,e)),!0}return!1};class g3{constructor(){Object.defineProperty(this,"items",{enumerable:!0,configurable:!0,writable:!0,value:[]}),Object.defineProperty(this,"sizeBytes",{enumerable:!0,configurable:!0,writable:!0,value:0})}peek(){return this.items[0]}push(e){let t;const n=new Promise(o=>{t=o}),a=bs(e.item).length;return this.items.push({action:e.action,payload:e.item,itemPromiseResolve:t,itemPromise:n,size:a}),this.sizeBytes+=a,n}pop(e){var a;if(e<1)throw new Error("Number of bytes to pop off may not be less than 1.");const t=[];let n=0;for(;n+(((a=this.peek())==null?void 0:a.size)??0)<e&&this.items.length>0;){const o=this.items.shift();o&&(t.push(o),n+=o.size,this.sizeBytes-=o.size)}if(t.length===0&&this.items.length>0){const o=this.items.shift();t.push(o),n+=o.size,this.sizeBytes-=o.size}return[t.map(o=>({action:o.action,item:o.payload})),()=>t.forEach(o=>o.itemPromiseResolve())]}}const b3=20971520,y3=2500;class Sp{constructor(e={}){var n;Object.defineProperty(this,"apiKey",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"apiUrl",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"webUrl",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"caller",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"batchIngestCaller",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"timeout_ms",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"_tenantId",{enumerable:!0,configurable:!0,writable:!0,value:null}),Object.defineProperty(this,"hideInputs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"hideOutputs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"tracingSampleRate",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"filteredPostUuids",{enumerable:!0,configurable:!0,writable:!0,value:new Set}),Object.defineProperty(this,"autoBatchTracing",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"autoBatchQueue",{enumerable:!0,configurable:!0,writable:!0,value:new g3}),Object.defineProperty(this,"autoBatchTimeout",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"autoBatchAggregationDelayMs",{enumerable:!0,configurable:!0,writable:!0,value:250}),Object.defineProperty(this,"batchSizeBytesLimit",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"fetchOptions",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"settings",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"blockOnRootRunFinalization",{enumerable:!0,configurable:!0,writable:!0,value:Ti("LANGSMITH_TRACING_BACKGROUND")==="false"}),Object.defineProperty(this,"traceBatchConcurrency",{enumerable:!0,configurable:!0,writable:!0,value:5}),Object.defineProperty(this,"_serverInfo",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"_getServerInfoPromise",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"manualFlushMode",{enumerable:!0,configurable:!0,writable:!0,value:!1});const t=Sp.getDefaultClientConfig();if(this.tracingSampleRate=f3(),this.apiUrl=Ug(e.apiUrl??t.apiUrl)??"",this.apiUrl.endsWith("/")&&(this.apiUrl=this.apiUrl.slice(0,-1)),this.apiKey=Ug(e.apiKey??t.apiKey),this.webUrl=Ug(e.webUrl??t.webUrl),(n=this.webUrl)!=null&&n.endsWith("/")&&(this.webUrl=this.webUrl.slice(0,-1)),this.timeout_ms=e.timeout_ms??9e4,this.caller=new i1(e.callerOptions??{}),this.traceBatchConcurrency=e.traceBatchConcurrency??this.traceBatchConcurrency,this.traceBatchConcurrency<1)throw new Error("Trace batch concurrency must be positive.");this.batchIngestCaller=new i1({maxRetries:2,maxConcurrency:this.traceBatchConcurrency,...e.callerOptions??{},onFailedResponseHook:_3}),this.hideInputs=e.hideInputs??e.anonymizer??t.hideInputs,this.hideOutputs=e.hideOutputs??e.anonymizer??t.hideOutputs,this.autoBatchTracing=e.autoBatchTracing??this.autoBatchTracing,this.blockOnRootRunFinalization=e.blockOnRootRunFinalization??this.blockOnRootRunFinalization,this.batchSizeBytesLimit=e.batchSizeBytesLimit,this.fetchOptions=e.fetchOptions||{},this.manualFlushMode=e.manualFlushMode??this.manualFlushMode}static getDefaultClientConfig(){const e=go("API_KEY"),t=go("ENDPOINT")??"https://api.smith.langchain.com",n=go("HIDE_INPUTS")==="true",a=go("HIDE_OUTPUTS")==="true";return{apiUrl:t,apiKey:e,webUrl:void 0,hideInputs:n,hideOutputs:a}}getHostUrl(){return this.webUrl?this.webUrl:p3(this.apiUrl)?(this.webUrl="http://localhost:3000",this.webUrl):this.apiUrl.includes("/api")&&!this.apiUrl.split(".",1)[0].endsWith("api")?(this.webUrl=this.apiUrl.replace("/api",""),this.webUrl):this.apiUrl.split(".",1)[0].includes("dev")?(this.webUrl="https://dev.smith.langchain.com",this.webUrl):this.apiUrl.split(".",1)[0].includes("eu")?(this.webUrl="https://eu.smith.langchain.com",this.webUrl):(this.webUrl="https://smith.langchain.com",this.webUrl)}get headers(){const e={"User-Agent":`langsmith-js/${mv}`};return this.apiKey&&(e["x-api-key"]=`${this.apiKey}`),e}processInputs(e){return this.hideInputs===!1?e:this.hideInputs===!0?{}:typeof this.hideInputs=="function"?this.hideInputs(e):e}processOutputs(e){return this.hideOutputs===!1?e:this.hideOutputs===!0?{}:typeof this.hideOutputs=="function"?this.hideOutputs(e):e}prepareRunCreateOrUpdateInputs(e){const t={...e};return t.inputs!==void 0&&(t.inputs=this.processInputs(t.inputs)),t.outputs!==void 0&&(t.outputs=this.processOutputs(t.outputs)),t}async _getResponse(e,t){const n=(t==null?void 0:t.toString())??"",a=`${this.apiUrl}${e}?${n}`,o=await this.caller.call(Qt(),a,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(o,`Failed to fetch ${e}`),o}async _get(e,t){return(await this._getResponse(e,t)).json()}async*_getPaginated(e,t=new URLSearchParams,n){let a=Number(t.get("offset"))||0;const o=Number(t.get("limit"))||100;for(;;){t.set("offset",String(a)),t.set("limit",String(o));const u=`${this.apiUrl}${e}?${t}`,d=await this.caller.call(Qt(),u,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(d,`Failed to fetch ${e}`);const c=n?n(await d.json()):await d.json();if(c.length===0||(yield c,c.length<o))break;a+=c.length}}async*_getCursorPaginatedList(e,t=null,n="POST",a="runs"){const o=t?{...t}:{};for(;;){const d=await(await this.caller.call(Qt(),`${this.apiUrl}${e}`,{method:n,headers:{...this.headers,"Content-Type":"application/json"},signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions,body:JSON.stringify(o)})).json();if(!d||!d[a])break;yield d[a];const c=d.cursors;if(!c||!c.next)break;o.cursor=c.next}}_filterForSampling(e,t=!1){if(this.tracingSampleRate===void 0)return e;if(t){const n=[];for(const a of e)this.filteredPostUuids.has(a.id)?this.filteredPostUuids.delete(a.id):n.push(a);return n}else{const n=[];for(const a of e)a.id!==a.trace_id&&!this.filteredPostUuids.has(a.trace_id)||Math.random()<this.tracingSampleRate?n.push(a):this.filteredPostUuids.add(a.id);return n}}async _getBatchSizeLimitBytes(){var t;const e=await this._ensureServerInfo();return this.batchSizeBytesLimit??((t=e.batch_ingest_config)==null?void 0:t.size_limit_bytes)??b3}async _getMultiPartSupport(){var t;return((t=(await this._ensureServerInfo()).instance_flags)==null?void 0:t.dataset_examples_multipart_enabled)??!1}drainAutoBatchQueue(e){const t=[];for(;this.autoBatchQueue.items.length>0;){const[n,a]=this.autoBatchQueue.pop(e);if(!n.length){a();break}const o=this._processBatch(n,a).catch(console.error);t.push(o)}return Promise.all(t)}async _processBatch(e,t){var n;if(!e.length){t();return}try{const a={runCreates:e.filter(u=>u.action==="create").map(u=>u.item),runUpdates:e.filter(u=>u.action==="update").map(u=>u.item)},o=await this._ensureServerInfo();(n=o==null?void 0:o.batch_ingest_config)!=null&&n.use_multipart_endpoint?await this.multipartIngestRuns(a):await this.batchIngestRuns(a)}finally{t()}}async processRunOperation(e){clearTimeout(this.autoBatchTimeout),this.autoBatchTimeout=void 0,e.action==="create"&&(e.item=$1(e.item));const t=this.autoBatchQueue.push(e);if(this.manualFlushMode)return t;const n=await this._getBatchSizeLimitBytes();return this.autoBatchQueue.sizeBytes>n&&this.drainAutoBatchQueue(n),this.autoBatchQueue.items.length>0&&(this.autoBatchTimeout=setTimeout(()=>{this.autoBatchTimeout=void 0,this.drainAutoBatchQueue(n)},this.autoBatchAggregationDelayMs)),t}async _getServerInfo(){const e=await Qt()(`${this.apiUrl}/info`,{method:"GET",headers:{Accept:"application/json"},signal:AbortSignal.timeout(y3),...this.fetchOptions});return await yr(e,"get server info"),e.json()}async _ensureServerInfo(){return this._getServerInfoPromise===void 0&&(this._getServerInfoPromise=(async()=>{if(this._serverInfo===void 0)try{this._serverInfo=await this._getServerInfo()}catch{console.warn("[WARNING]: LangSmith failed to fetch info on supported operations. Falling back to batch operations and default limits.")}return this._serverInfo??{}})()),this._getServerInfoPromise.then(e=>(this._serverInfo===void 0&&(this._getServerInfoPromise=void 0),e))}async _getSettings(){return this.settings||(this.settings=this._get("/settings")),await this.settings}async flush(){const e=await this._getBatchSizeLimitBytes();await this.drainAutoBatchQueue(e)}async createRun(e){if(!this._filterForSampling([e]).length)return;const t={...this.headers,"Content-Type":"application/json"},n=e.project_name;delete e.project_name;const a=this.prepareRunCreateOrUpdateInputs({session_name:n,...e,start_time:e.start_time??Date.now()});if(this.autoBatchTracing&&a.trace_id!==void 0&&a.dotted_order!==void 0){this.processRunOperation({action:"create",item:a}).catch(console.error);return}const o=$1(a),u=await this.caller.call(Qt(),`${this.apiUrl}/runs`,{method:"POST",headers:t,body:bs(o),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(u,"create run",!0)}async batchIngestRuns({runCreates:e,runUpdates:t}){if(e===void 0&&t===void 0)return;let n=(e==null?void 0:e.map(d=>this.prepareRunCreateOrUpdateInputs(d)))??[],a=(t==null?void 0:t.map(d=>this.prepareRunCreateOrUpdateInputs(d)))??[];if(n.length>0&&a.length>0){const d=n.reduce((h,_)=>(_.id&&(h[_.id]=_),h),{}),c=[];for(const h of a)h.id!==void 0&&d[h.id]?d[h.id]={...d[h.id],...h}:c.push(h);n=Object.values(d),a=c}const o={post:this._filterForSampling(n),patch:this._filterForSampling(a,!0)};if(!o.post.length&&!o.patch.length)return;const u={post:[],patch:[]};for(const d of["post","patch"]){const c=d,h=o[c].reverse();let _=h.pop();for(;_!==void 0;)u[c].push(_),_=h.pop()}(u.post.length>0||u.patch.length>0)&&await this._postBatchIngestRuns(bs(u))}async _postBatchIngestRuns(e){const t={...this.headers,"Content-Type":"application/json",Accept:"application/json"},n=await this.batchIngestCaller.call(Qt(),`${this.apiUrl}/runs/batch`,{method:"POST",headers:t,body:e,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(n,"batch create run",!0)}async multipartIngestRuns({runCreates:e,runUpdates:t}){if(e===void 0&&t===void 0)return;const n={};let a=[];for(const _ of e??[]){const y=this.prepareRunCreateOrUpdateInputs(_);y.id!==void 0&&y.attachments!==void 0&&(n[y.id]=y.attachments),delete y.attachments,a.push(y)}let o=[];for(const _ of t??[])o.push(this.prepareRunCreateOrUpdateInputs(_));if(a.find(_=>_.trace_id===void 0||_.dotted_order===void 0)!==void 0)throw new Error('Multipart ingest requires "trace_id" and "dotted_order" to be set when creating a run');if(o.find(_=>_.trace_id===void 0||_.dotted_order===void 0)!==void 0)throw new Error('Multipart ingest requires "trace_id" and "dotted_order" to be set when updating a run');if(a.length>0&&o.length>0){const _=a.reduce((w,M)=>(M.id&&(w[M.id]=M),w),{}),y=[];for(const w of o)w.id!==void 0&&_[w.id]?_[w.id]={..._[w.id],...w}:y.push(w);a=Object.values(_),o=y}if(a.length===0&&o.length===0)return;const c=[],h=[];for(const[_,y]of[["post",a],["patch",o]])for(const w of y){const{inputs:M,outputs:S,events:G,attachments:H,...B}=w,z={inputs:M,outputs:S,events:G},U=bs(B);h.push({name:`${_}.${B.id}`,payload:new Blob([U],{type:`application/json; length=${U.length}`})});for(const[F,I]of Object.entries(z)){if(I===void 0)continue;const k=bs(I);h.push({name:`${_}.${B.id}.${F}`,payload:new Blob([k],{type:`application/json; length=${k.length}`})})}if(B.id!==void 0){const F=n[B.id];if(F){delete n[B.id];for(const[I,k]of Object.entries(F)){let $,j;if(Array.isArray(k)?[$,j]=k:($=k.mimeType,j=k.data),I.includes(".")){console.warn(`Skipping attachment '${I}' for run ${B.id}: Invalid attachment name. Attachment names must not contain periods ('.'). Please rename the attachment and try again.`);continue}h.push({name:`attachment.${B.id}.${I}`,payload:new Blob([j],{type:`${$}; length=${j.byteLength}`})})}}}c.push(`trace=${B.trace_id},id=${B.id}`)}await this._sendMultipartRequest(h,c.join("; "))}async _sendMultipartRequest(e,t){try{const n="----LangSmithFormBoundary"+Math.random().toString(36).slice(2),a=[];for(const c of e)a.push(new Blob([`--${n}\r
`])),a.push(new Blob([`Content-Disposition: form-data; name="${c.name}"\r
`,`Content-Type: ${c.payload.type}\r
\r
`])),a.push(c.payload),a.push(new Blob([`\r
`]));a.push(new Blob([`--${n}--\r
`]));const u=await new Blob(a).arrayBuffer(),d=await this.batchIngestCaller.call(Qt(),`${this.apiUrl}/runs/multipart`,{method:"POST",headers:{...this.headers,"Content-Type":`multipart/form-data; boundary=${n}`},body:u,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(d,"ingest multipart runs",!0)}catch(n){console.warn(`${n.message.trim()}

Context: ${t}`)}}async updateRun(e,t){Er(e),t.inputs&&(t.inputs=this.processInputs(t.inputs)),t.outputs&&(t.outputs=this.processOutputs(t.outputs));const n={...t,id:e};if(!this._filterForSampling([n],!0).length)return;if(this.autoBatchTracing&&n.trace_id!==void 0&&n.dotted_order!==void 0){if(t.end_time!==void 0&&n.parent_run_id===void 0&&this.blockOnRootRunFinalization&&!this.manualFlushMode){await this.processRunOperation({action:"update",item:n}).catch(console.error);return}else this.processRunOperation({action:"update",item:n}).catch(console.error);return}const a={...this.headers,"Content-Type":"application/json"},o=await this.caller.call(Qt(),`${this.apiUrl}/runs/${e}`,{method:"PATCH",headers:a,body:bs(t),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(o,"update run",!0)}async readRun(e,{loadChildRuns:t}={loadChildRuns:!1}){Er(e);let n=await this._get(`/runs/${e}`);return t&&n.child_run_ids&&(n=await this._loadChildRuns(n)),n}async getRunUrl({runId:e,run:t,projectOpts:n}){if(t!==void 0){let a;t.session_id?a=t.session_id:n!=null&&n.projectName?a=(await this.readProject({projectName:n==null?void 0:n.projectName})).id:n!=null&&n.projectId?a=n==null?void 0:n.projectId:a=(await this.readProject({projectName:go("PROJECT")||"default"})).id;const o=await this._getTenantId();return`${this.getHostUrl()}/o/${o}/projects/p/${a}/r/${t.id}?poll=true`}else if(e!==void 0){const a=await this.readRun(e);if(!a.app_path)throw new Error(`Run ${e} has no app_path`);return`${this.getHostUrl()}${a.app_path}`}else throw new Error("Must provide either runId or run")}async _loadChildRuns(e){const t=await m3(this.listRuns({id:e.child_run_ids})),n={},a={};t.sort((o,u)=>((o==null?void 0:o.dotted_order)??"").localeCompare((u==null?void 0:u.dotted_order)??""));for(const o of t){if(o.parent_run_id===null||o.parent_run_id===void 0)throw new Error(`Child run ${o.id} has no parent`);o.parent_run_id in n||(n[o.parent_run_id]=[]),n[o.parent_run_id].push(o),a[o.id]=o}e.child_runs=n[e.id]||[];for(const o in n)o!==e.id&&(a[o].child_runs=n[o]);return e}async*listRuns(e){const{projectId:t,projectName:n,parentRunId:a,traceId:o,referenceExampleId:u,startTime:d,executionOrder:c,isRoot:h,runType:_,error:y,id:w,query:M,filter:S,traceFilter:G,treeFilter:H,limit:B,select:z}=e;let U=[];if(t&&(U=Array.isArray(t)?t:[t]),n){const $=Array.isArray(n)?n:[n],j=await Promise.all($.map(ce=>this.readProject({projectName:ce}).then(ue=>ue.id)));U.push(...j)}const F=["app_path","child_run_ids","completion_cost","completion_tokens","dotted_order","end_time","error","events","extra","feedback_stats","first_token_time","id","inputs","name","outputs","parent_run_id","parent_run_ids","prompt_cost","prompt_tokens","reference_example_id","run_type","session_id","start_time","status","tags","total_cost","total_tokens","trace_id"],I={session:U.length?U:null,run_type:_,reference_example:u,query:M,filter:S,trace_filter:G,tree_filter:H,execution_order:c,parent_run:a,start_time:d?d.toISOString():null,error:y,id:w,limit:B,trace:o,select:z||F,is_root:h};let k=0;for await(const $ of this._getCursorPaginatedList("/runs/query",I))if(B){if(k>=B)break;if($.length+k>B){yield*$.slice(0,B-k);break}k+=$.length,yield*$}else yield*$}async getRunStats({id:e,trace:t,parentRun:n,runType:a,projectNames:o,projectIds:u,referenceExampleIds:d,startTime:c,endTime:h,error:_,query:y,filter:w,traceFilter:M,treeFilter:S,isRoot:G,dataSourceType:H}){let B=u||[];o&&(B=[...u||[],...await Promise.all(o.map(k=>this.readProject({projectName:k}).then($=>$.id)))]);const U=Object.fromEntries(Object.entries({id:e,trace:t,parent_run:n,run_type:a,session:B,reference_example:d,start_time:c,end_time:h,error:_,query:y,filter:w,trace_filter:M,tree_filter:S,is_root:G,data_source_type:H}).filter(([k,$])=>$!==void 0));return await(await this.caller.call(Qt(),`${this.apiUrl}/runs/stats`,{method:"POST",headers:this.headers,body:JSON.stringify(U),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json()}async shareRun(e,{shareId:t}={}){const n={run_id:e,share_token:t||hs()};Er(e);const o=await(await this.caller.call(Qt(),`${this.apiUrl}/runs/${e}/share`,{method:"PUT",headers:this.headers,body:JSON.stringify(n),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json();if(o===null||!("share_token"in o))throw new Error("Invalid response from server");return`${this.getHostUrl()}/public/${o.share_token}/r`}async unshareRun(e){Er(e);const t=await this.caller.call(Qt(),`${this.apiUrl}/runs/${e}/share`,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(t,"unshare run",!0)}async readRunSharedLink(e){Er(e);const n=await(await this.caller.call(Qt(),`${this.apiUrl}/runs/${e}/share`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json();if(!(n===null||!("share_token"in n)))return`${this.getHostUrl()}/public/${n.share_token}/r`}async listSharedRuns(e,{runIds:t}={}){const n=new URLSearchParams({share_token:e});if(t!==void 0)for(const u of t)n.append("id",u);return Er(e),await(await this.caller.call(Qt(),`${this.apiUrl}/public/${e}/runs${n}`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json()}async readDatasetSharedSchema(e,t){if(!e&&!t)throw new Error("Either datasetId or datasetName must be given");e||(e=(await this.readDataset({datasetName:t})).id),Er(e);const a=await(await this.caller.call(Qt(),`${this.apiUrl}/datasets/${e}/share`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json();return a.url=`${this.getHostUrl()}/public/${a.share_token}/d`,a}async shareDataset(e,t){if(!e&&!t)throw new Error("Either datasetId or datasetName must be given");e||(e=(await this.readDataset({datasetName:t})).id);const n={dataset_id:e};Er(e);const o=await(await this.caller.call(Qt(),`${this.apiUrl}/datasets/${e}/share`,{method:"PUT",headers:this.headers,body:JSON.stringify(n),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json();return o.url=`${this.getHostUrl()}/public/${o.share_token}/d`,o}async unshareDataset(e){Er(e);const t=await this.caller.call(Qt(),`${this.apiUrl}/datasets/${e}/share`,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(t,"unshare dataset",!0)}async readSharedDataset(e){return Er(e),await(await this.caller.call(Qt(),`${this.apiUrl}/public/${e}/datasets`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json()}async listSharedExamples(e,t){const n={};t!=null&&t.exampleIds&&(n.id=t.exampleIds);const a=new URLSearchParams;Object.entries(n).forEach(([d,c])=>{Array.isArray(c)?c.forEach(h=>a.append(d,h)):a.append(d,c)});const o=await this.caller.call(Qt(),`${this.apiUrl}/public/${e}/examples?${a.toString()}`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions}),u=await o.json();if(!o.ok)throw"detail"in u?new Error(`Failed to list shared examples.
Status: ${o.status}
Message: ${u.detail.join(`
`)}`):new Error(`Failed to list shared examples: ${o.status} ${o.statusText}`);return u.map(d=>({...d,_hostUrl:this.getHostUrl()}))}async createProject({projectName:e,description:t=null,metadata:n=null,upsert:a=!1,projectExtra:o=null,referenceDatasetId:u=null}){const d=a?"?upsert=true":"",c=`${this.apiUrl}/sessions${d}`,h=o||{};n&&(h.metadata=n);const _={name:e,extra:h,description:t};u!==null&&(_.reference_dataset_id=u);const y=await this.caller.call(Qt(),c,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(_),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(y,"create project"),await y.json()}async updateProject(e,{name:t=null,description:n=null,metadata:a=null,projectExtra:o=null,endTime:u=null}){const d=`${this.apiUrl}/sessions/${e}`;let c=o;a&&(c={...c||{},metadata:a});const h={name:t,extra:c,description:n,end_time:u?new Date(u).toISOString():null},_=await this.caller.call(Qt(),d,{method:"PATCH",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(h),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(_,"update project"),await _.json()}async hasProject({projectId:e,projectName:t}){let n="/sessions";const a=new URLSearchParams;if(e!==void 0&&t!==void 0)throw new Error("Must provide either projectName or projectId, not both");if(e!==void 0)Er(e),n+=`/${e}`;else if(t!==void 0)a.append("name",t);else throw new Error("Must provide projectName or projectId");const o=await this.caller.call(Qt(),`${this.apiUrl}${n}?${a}`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});try{const u=await o.json();return o.ok?Array.isArray(u)?u.length>0:!0:!1}catch{return!1}}async readProject({projectId:e,projectName:t,includeStats:n}){let a="/sessions";const o=new URLSearchParams;if(e!==void 0&&t!==void 0)throw new Error("Must provide either projectName or projectId, not both");if(e!==void 0)Er(e),a+=`/${e}`;else if(t!==void 0)o.append("name",t);else throw new Error("Must provide projectName or projectId");n!==void 0&&o.append("include_stats",n.toString());const u=await this._get(a,o);let d;if(Array.isArray(u)){if(u.length===0)throw new Error(`Project[id=${e}, name=${t}] not found`);d=u[0]}else d=u;return d}async getProjectUrl({projectId:e,projectName:t}){if(e===void 0&&t===void 0)throw new Error("Must provide either projectName or projectId");const n=await this.readProject({projectId:e,projectName:t}),a=await this._getTenantId();return`${this.getHostUrl()}/o/${a}/projects/p/${n.id}`}async getDatasetUrl({datasetId:e,datasetName:t}){if(e===void 0&&t===void 0)throw new Error("Must provide either datasetName or datasetId");const n=await this.readDataset({datasetId:e,datasetName:t}),a=await this._getTenantId();return`${this.getHostUrl()}/o/${a}/datasets/${n.id}`}async _getTenantId(){if(this._tenantId!==null)return this._tenantId;const e=new URLSearchParams({limit:"1"});for await(const t of this._getPaginated("/sessions",e))return this._tenantId=t[0].tenant_id,t[0].tenant_id;throw new Error("No projects found to resolve tenant.")}async*listProjects({projectIds:e,name:t,nameContains:n,referenceDatasetId:a,referenceDatasetName:o,referenceFree:u,metadata:d}={}){const c=new URLSearchParams;if(e!==void 0)for(const h of e)c.append("id",h);if(t!==void 0&&c.append("name",t),n!==void 0&&c.append("name_contains",n),a!==void 0)c.append("reference_dataset",a);else if(o!==void 0){const h=await this.readDataset({datasetName:o});c.append("reference_dataset",h.id)}u!==void 0&&c.append("reference_free",u.toString()),d!==void 0&&c.append("metadata",JSON.stringify(d));for await(const h of this._getPaginated("/sessions",c))yield*h}async deleteProject({projectId:e,projectName:t}){let n;if(e===void 0&&t===void 0)throw new Error("Must provide projectName or projectId");if(e!==void 0&&t!==void 0)throw new Error("Must provide either projectName or projectId, not both");e===void 0?n=(await this.readProject({projectName:t})).id:n=e,Er(n);const a=await this.caller.call(Qt(),`${this.apiUrl}/sessions/${n}`,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(a,`delete session ${n} (${t})`,!0)}async uploadCsv({csvFile:e,fileName:t,inputKeys:n,outputKeys:a,description:o,dataType:u,name:d}){const c=`${this.apiUrl}/datasets/upload`,h=new FormData;h.append("file",e,t),n.forEach(w=>{h.append("input_keys",w)}),a.forEach(w=>{h.append("output_keys",w)}),o&&h.append("description",o),u&&h.append("data_type",u),d&&h.append("name",d);const _=await this.caller.call(Qt(),c,{method:"POST",headers:this.headers,body:h,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(_,"upload CSV"),await _.json()}async createDataset(e,{description:t,dataType:n,inputsSchema:a,outputsSchema:o,metadata:u}={}){const d={name:e,description:t,extra:u?{metadata:u}:void 0};n&&(d.data_type=n),a&&(d.inputs_schema_definition=a),o&&(d.outputs_schema_definition=o);const c=await this.caller.call(Qt(),`${this.apiUrl}/datasets`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(d),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(c,"create dataset"),await c.json()}async readDataset({datasetId:e,datasetName:t}){let n="/datasets";const a=new URLSearchParams({limit:"1"});if(e!==void 0&&t!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");if(e!==void 0)Er(e),n+=`/${e}`;else if(t!==void 0)a.append("name",t);else throw new Error("Must provide datasetName or datasetId");const o=await this._get(n,a);let u;if(Array.isArray(o)){if(o.length===0)throw new Error(`Dataset[id=${e}, name=${t}] not found`);u=o[0]}else u=o;return u}async hasDataset({datasetId:e,datasetName:t}){try{return await this.readDataset({datasetId:e,datasetName:t}),!0}catch(n){if(n instanceof Error&&n.message.toLocaleLowerCase().includes("not found"))return!1;throw n}}async diffDatasetVersions({datasetId:e,datasetName:t,fromVersion:n,toVersion:a}){let o=e;if(o===void 0&&t===void 0)throw new Error("Must provide either datasetName or datasetId");if(o!==void 0&&t!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");o===void 0&&(o=(await this.readDataset({datasetName:t})).id);const u=new URLSearchParams({from_version:typeof n=="string"?n:n.toISOString(),to_version:typeof a=="string"?a:a.toISOString()});return await this._get(`/datasets/${o}/versions/diff`,u)}async readDatasetOpenaiFinetuning({datasetId:e,datasetName:t}){const n="/datasets";if(e===void 0)if(t!==void 0)e=(await this.readDataset({datasetName:t})).id;else throw new Error("Must provide datasetName or datasetId");return(await(await this._getResponse(`${n}/${e}/openai_ft`)).text()).trim().split(`
`).map(d=>JSON.parse(d))}async*listDatasets({limit:e=100,offset:t=0,datasetIds:n,datasetName:a,datasetNameContains:o,metadata:u}={}){const d="/datasets",c=new URLSearchParams({limit:e.toString(),offset:t.toString()});if(n!==void 0)for(const h of n)c.append("id",h);a!==void 0&&c.append("name",a),o!==void 0&&c.append("name_contains",o),u!==void 0&&c.append("metadata",JSON.stringify(u));for await(const h of this._getPaginated(d,c))yield*h}async updateDataset(e){const{datasetId:t,datasetName:n,...a}=e;if(!t&&!n)throw new Error("Must provide either datasetName or datasetId");const o=t??(await this.readDataset({datasetName:n})).id;Er(o);const u=await this.caller.call(Qt(),`${this.apiUrl}/datasets/${o}`,{method:"PATCH",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(a),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(u,"update dataset"),await u.json()}async deleteDataset({datasetId:e,datasetName:t}){let n="/datasets",a=e;if(e!==void 0&&t!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");if(t!==void 0&&(a=(await this.readDataset({datasetName:t})).id),a!==void 0)Er(a),n+=`/${a}`;else throw new Error("Must provide datasetName or datasetId");const o=await this.caller.call(Qt(),this.apiUrl+n,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(o,`delete ${n}`),await o.json()}async indexDataset({datasetId:e,datasetName:t,tag:n}){let a=e;if(!a&&!t)throw new Error("Must provide either datasetName or datasetId");if(a&&t)throw new Error("Must provide either datasetName or datasetId, not both");a||(a=(await this.readDataset({datasetName:t})).id),Er(a);const o={tag:n},u=await this.caller.call(Qt(),`${this.apiUrl}/datasets/${a}/index`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(o),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(u,"index dataset"),await u.json()}async similarExamples(e,t,n,{filter:a}={}){const o={limit:n,inputs:e};a!==void 0&&(o.filter=a),Er(t);const u=await this.caller.call(Qt(),`${this.apiUrl}/datasets/${t}/search`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(o),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(u,"fetch similar examples"),(await u.json()).examples}async createExample(e,t,{datasetId:n,datasetName:a,createdAt:o,exampleId:u,metadata:d,split:c,sourceRunId:h}){let _=n;if(_===void 0&&a===void 0)throw new Error("Must provide either datasetName or datasetId");if(_!==void 0&&a!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");_===void 0&&(_=(await this.readDataset({datasetName:a})).id);const y=o||new Date,w={dataset_id:_,inputs:e,outputs:t,created_at:y==null?void 0:y.toISOString(),id:u,metadata:d,split:c,source_run_id:h},M=await this.caller.call(Qt(),`${this.apiUrl}/examples`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(w),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(M,"create example"),await M.json()}async createExamples(e){const{inputs:t,outputs:n,metadata:a,sourceRunIds:o,exampleIds:u,datasetId:d,datasetName:c}=e;let h=d;if(h===void 0&&c===void 0)throw new Error("Must provide either datasetName or datasetId");if(h!==void 0&&c!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");h===void 0&&(h=(await this.readDataset({datasetName:c})).id);const _=t.map((M,S)=>({dataset_id:h,inputs:M,outputs:n?n[S]:void 0,metadata:a?a[S]:void 0,split:e.splits?e.splits[S]:void 0,id:u?u[S]:void 0,source_run_id:o?o[S]:void 0})),y=await this.caller.call(Qt(),`${this.apiUrl}/examples/bulk`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(_),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(y,"create examples"),await y.json()}async createLLMExample(e,t,n){return this.createExample({input:e},{output:t},n)}async createChatExample(e,t,n){const a=e.map(u=>o1(u)?u1(u):u),o=o1(t)?u1(t):t;return this.createExample({input:a},{output:o},n)}async readExample(e){Er(e);const t=`/examples/${e}`,n=await this._get(t),{attachment_urls:a,...o}=n,u=o;return a&&(u.attachments=Object.entries(a).reduce((d,[c,h])=>(d[c.slice(11)]={presigned_url:h.presigned_url},d),{})),u}async*listExamples({datasetId:e,datasetName:t,exampleIds:n,asOf:a,splits:o,inlineS3Urls:u,metadata:d,limit:c,offset:h,filter:_,includeAttachments:y}={}){let w;if(e!==void 0&&t!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");if(e!==void 0)w=e;else if(t!==void 0)w=(await this.readDataset({datasetName:t})).id;else throw new Error("Must provide a datasetName or datasetId");const M=new URLSearchParams({dataset:w}),S=a?typeof a=="string"?a:a==null?void 0:a.toISOString():void 0;S&&M.append("as_of",S);const G=u??!0;if(M.append("inline_s3_urls",G.toString()),n!==void 0)for(const B of n)M.append("id",B);if(o!==void 0)for(const B of o)M.append("splits",B);if(d!==void 0){const B=JSON.stringify(d);M.append("metadata",B)}c!==void 0&&M.append("limit",c.toString()),h!==void 0&&M.append("offset",h.toString()),_!==void 0&&M.append("filter",_),y===!0&&["attachment_urls","outputs","metadata"].forEach(B=>M.append("select",B));let H=0;for await(const B of this._getPaginated("/examples",M)){for(const z of B){const{attachment_urls:U,...F}=z,I=F;U&&(I.attachments=Object.entries(U).reduce((k,[$,j])=>(k[$.slice(11)]={presigned_url:j.presigned_url},k),{})),yield I,H++}if(c!==void 0&&H>=c)break}}async deleteExample(e){Er(e);const t=`/examples/${e}`,n=await this.caller.call(Qt(),this.apiUrl+t,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(n,`delete ${t}`),await n.json()}async updateExample(e,t){Er(e);const n=await this.caller.call(Qt(),`${this.apiUrl}/examples/${e}`,{method:"PATCH",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(t),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(n,"update example"),await n.json()}async updateExamples(e){const t=await this.caller.call(Qt(),`${this.apiUrl}/examples/bulk`,{method:"PATCH",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(e),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(t,"update examples"),await t.json()}async listDatasetSplits({datasetId:e,datasetName:t,asOf:n}){let a;if(e===void 0&&t===void 0)throw new Error("Must provide dataset name or ID");if(e!==void 0&&t!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");e===void 0?a=(await this.readDataset({datasetName:t})).id:a=e,Er(a);const o=new URLSearchParams,u=n?typeof n=="string"?n:n==null?void 0:n.toISOString():void 0;return u&&o.append("as_of",u),await this._get(`/datasets/${a}/splits`,o)}async updateDatasetSplits({datasetId:e,datasetName:t,splitName:n,exampleIds:a,remove:o=!1}){let u;if(e===void 0&&t===void 0)throw new Error("Must provide dataset name or ID");if(e!==void 0&&t!==void 0)throw new Error("Must provide either datasetName or datasetId, not both");e===void 0?u=(await this.readDataset({datasetName:t})).id:u=e,Er(u);const d={split_name:n,examples:a.map(h=>(Er(h),h)),remove:o},c=await this.caller.call(Qt(),`${this.apiUrl}/datasets/${u}/splits`,{method:"PUT",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(d),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(c,"update dataset splits",!0)}async evaluateRun(e,t,{sourceInfo:n,loadChildRuns:a,referenceExample:o}={loadChildRuns:!1}){ov("This method is deprecated and will be removed in future LangSmith versions, use `evaluate` from `langsmith/evaluation` instead.");let u;if(typeof e=="string")u=await this.readRun(e,{loadChildRuns:a});else if(typeof e=="object"&&"id"in e)u=e;else throw new Error(`Invalid run type: ${typeof e}`);u.reference_example_id!==null&&u.reference_example_id!==void 0&&(o=await this.readExample(u.reference_example_id));const d=await t.evaluateRun(u,o),[c,h]=await this._logEvaluationFeedback(d,u,n);return h[0]}async createFeedback(e,t,{score:n,value:a,correction:o,comment:u,sourceInfo:d,feedbackSourceType:c="api",sourceRunId:h,feedbackId:_,feedbackConfig:y,projectId:w,comparativeExperimentId:M}){var z;if(!e&&!w)throw new Error("One of runId or projectId must be provided");if(e&&w)throw new Error("Only one of runId or projectId can be provided");const S={type:c??"api",metadata:d??{}};h!==void 0&&(S==null?void 0:S.metadata)!==void 0&&!S.metadata.__run&&(S.metadata.__run={run_id:h}),(S==null?void 0:S.metadata)!==void 0&&((z=S.metadata.__run)==null?void 0:z.run_id)!==void 0&&Er(S.metadata.__run.run_id);const G={id:_??hs(),run_id:e,key:t,score:n,value:a,correction:o,comment:u,feedback_source:S,comparative_experiment_id:M,feedbackConfig:y,session_id:w},H=`${this.apiUrl}/feedback`,B=await this.caller.call(Qt(),H,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(G),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(B,"create feedback",!0),G}async updateFeedback(e,{score:t,value:n,correction:a,comment:o}){const u={};t!=null&&(u.score=t),n!=null&&(u.value=n),a!=null&&(u.correction=a),o!=null&&(u.comment=o),Er(e);const d=await this.caller.call(Qt(),`${this.apiUrl}/feedback/${e}`,{method:"PATCH",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(u),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(d,"update feedback",!0)}async readFeedback(e){Er(e);const t=`/feedback/${e}`;return await this._get(t)}async deleteFeedback(e){Er(e);const t=`/feedback/${e}`,n=await this.caller.call(Qt(),this.apiUrl+t,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(n,`delete ${t}`),await n.json()}async*listFeedback({runIds:e,feedbackKeys:t,feedbackSourceTypes:n}={}){const a=new URLSearchParams;if(e&&a.append("run",e.join(",")),t)for(const o of t)a.append("key",o);if(n)for(const o of n)a.append("source",o);for await(const o of this._getPaginated("/feedback",a))yield*o}async createPresignedFeedbackToken(e,t,{expiration:n,feedbackConfig:a}={}){const o={run_id:e,feedback_key:t,feedback_config:a};return n?typeof n=="string"?o.expires_at=n:(n!=null&&n.hours||n!=null&&n.minutes||n!=null&&n.days)&&(o.expires_in=n):o.expires_in={hours:3},await(await this.caller.call(Qt(),`${this.apiUrl}/feedback/tokens`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(o),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json()}async createComparativeExperiment({name:e,experimentIds:t,referenceDatasetId:n,createdAt:a,description:o,metadata:u,id:d}){var _;if(t.length===0)throw new Error("At least one experiment is required");if(n||(n=(await this.readProject({projectId:t[0]})).reference_dataset_id),!n==null)throw new Error("A reference dataset is required");const c={id:d,name:e,experiment_ids:t,reference_dataset_id:n,description:o,created_at:(_=a??new Date)==null?void 0:_.toISOString(),extra:{}};return u&&(c.extra.metadata=u),await(await this.caller.call(Qt(),`${this.apiUrl}/datasets/comparative`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(c),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json()}async*listPresignedFeedbackTokens(e){Er(e);const t=new URLSearchParams({run_id:e});for await(const n of this._getPaginated("/feedback/tokens",t))yield*n}_selectEvalResults(e){let t;return"results"in e?t=e.results:t=[e],t}async _logEvaluationFeedback(e,t,n){const a=this._selectEvalResults(e),o=[];for(const u of a){let d=n||{};u.evaluatorInfo&&(d={...u.evaluatorInfo,...d});let c=null;u.targetRunId?c=u.targetRunId:t&&(c=t.id),o.push(await this.createFeedback(c,u.key,{score:u.score,value:u.value,comment:u.comment,correction:u.correction,sourceInfo:d,sourceRunId:u.sourceRunId,feedbackConfig:u.feedbackConfig,feedbackSourceType:"model"}))}return[a,o]}async logEvaluationFeedback(e,t,n){const[a]=await this._logEvaluationFeedback(e,t,n);return a}async*listAnnotationQueues(e={}){const{queueIds:t,name:n,nameContains:a,limit:o}=e,u=new URLSearchParams;t&&t.forEach((c,h)=>{Er(c,`queueIds[${h}]`),u.append("ids",c)}),n&&u.append("name",n),a&&u.append("name_contains",a),u.append("limit",(o!==void 0?Math.min(o,100):100).toString());let d=0;for await(const c of this._getPaginated("/annotation-queues",u))if(yield*c,d++,o!==void 0&&d>=o)break}async createAnnotationQueue(e){const{name:t,description:n,queueId:a}=e,o={name:t,description:n,id:a||hs()},u=await this.caller.call(Qt(),`${this.apiUrl}/annotation-queues`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(Object.fromEntries(Object.entries(o).filter(([c,h])=>h!==void 0))),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(u,"create annotation queue"),await u.json()}async readAnnotationQueue(e){const t=await this.listAnnotationQueues({queueIds:[e]}).next();if(t.done)throw new Error(`Annotation queue with ID ${e} not found`);return t.value}async updateAnnotationQueue(e,t){const{name:n,description:a}=t,o=await this.caller.call(Qt(),`${this.apiUrl}/annotation-queues/${Er(e,"queueId")}`,{method:"PATCH",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify({name:n,description:a}),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(o,"update annotation queue")}async deleteAnnotationQueue(e){const t=await this.caller.call(Qt(),`${this.apiUrl}/annotation-queues/${Er(e,"queueId")}`,{method:"DELETE",headers:{...this.headers,Accept:"application/json"},signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(t,"delete annotation queue")}async addRunsToAnnotationQueue(e,t){const n=await this.caller.call(Qt(),`${this.apiUrl}/annotation-queues/${Er(e,"queueId")}/runs`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(t.map((a,o)=>Er(a,`runIds[${o}]`).toString())),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(n,"add runs to annotation queue")}async getRunFromAnnotationQueue(e,t){const n=`/annotation-queues/${Er(e,"queueId")}/run`,a=await this.caller.call(Qt(),`${this.apiUrl}${n}/${t}`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(a,"get run from annotation queue"),await a.json()}async deleteRunFromAnnotationQueue(e,t){const n=await this.caller.call(Qt(),`${this.apiUrl}/annotation-queues/${Er(e,"queueId")}/runs/${Er(t,"queueRunId")}`,{method:"DELETE",headers:{...this.headers,Accept:"application/json"},signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(n,"delete run from annotation queue")}async getSizeFromAnnotationQueue(e){const t=await this.caller.call(Qt(),`${this.apiUrl}/annotation-queues/${Er(e,"queueId")}/size`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(t,"get size from annotation queue"),await t.json()}async _currentTenantIsOwner(e){const t=await this._getSettings();return e=="-"||t.tenant_handle===e}async _ownerConflictError(e,t){const n=await this._getSettings();return new Error(`Cannot ${e} for another tenant.

      Current tenant: ${n.tenant_handle}

      Requested tenant: ${t}`)}async _getLatestCommitHash(e){const t=await this.caller.call(Qt(),`${this.apiUrl}/commits/${e}/?limit=1&offset=0`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions}),n=await t.json();if(!t.ok){const a=typeof n.detail=="string"?n.detail:JSON.stringify(n.detail),o=new Error(`Error ${t.status}: ${t.statusText}
${a}`);throw o.statusCode=t.status,o}if(n.commits.length!==0)return n.commits[0].commit_hash}async _likeOrUnlikePrompt(e,t){const[n,a,o]=gi(e),u=await this.caller.call(Qt(),`${this.apiUrl}/likes/${n}/${a}`,{method:"POST",body:JSON.stringify({like:t}),headers:{...this.headers,"Content-Type":"application/json"},signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(u,`${t?"like":"unlike"} prompt`),await u.json()}async _getPromptUrl(e){const[t,n,a]=gi(e);if(await this._currentTenantIsOwner(t)){const o=await this._getSettings();return a!=="latest"?`${this.getHostUrl()}/prompts/${n}/${a.substring(0,8)}?organizationId=${o.id}`:`${this.getHostUrl()}/prompts/${n}?organizationId=${o.id}`}else return a!=="latest"?`${this.getHostUrl()}/hub/${t}/${n}/${a.substring(0,8)}`:`${this.getHostUrl()}/hub/${t}/${n}`}async promptExists(e){return!!await this.getPrompt(e)}async likePrompt(e){return this._likeOrUnlikePrompt(e,!0)}async unlikePrompt(e){return this._likeOrUnlikePrompt(e,!1)}async*listCommits(e){for await(const t of this._getPaginated(`/commits/${e}/`,new URLSearchParams,n=>n.commits))yield*t}async*listPrompts(e){const t=new URLSearchParams;t.append("sort_field",(e==null?void 0:e.sortField)??"updated_at"),t.append("sort_direction","desc"),t.append("is_archived",(!!(e!=null&&e.isArchived)).toString()),(e==null?void 0:e.isPublic)!==void 0&&t.append("is_public",e.isPublic.toString()),e!=null&&e.query&&t.append("query",e.query);for await(const n of this._getPaginated("/repos",t,a=>a.repos))yield*n}async getPrompt(e){const[t,n,a]=gi(e),o=await this.caller.call(Qt(),`${this.apiUrl}/repos/${t}/${n}`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});if(o.status===404)return null;await yr(o,"get prompt");const u=await o.json();return u.repo?u.repo:null}async createPrompt(e,t){const n=await this._getSettings();if(t!=null&&t.isPublic&&!n.tenant_handle)throw new Error(`Cannot create a public prompt without first

        creating a LangChain Hub handle. 
        You can add a handle by creating a public prompt at:

        https://smith.langchain.com/prompts`);const[a,o,u]=gi(e);if(!await this._currentTenantIsOwner(a))throw await this._ownerConflictError("create a prompt",a);const d={repo_handle:o,...(t==null?void 0:t.description)&&{description:t.description},...(t==null?void 0:t.readme)&&{readme:t.readme},...(t==null?void 0:t.tags)&&{tags:t.tags},is_public:!!(t!=null&&t.isPublic)},c=await this.caller.call(Qt(),`${this.apiUrl}/repos/`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(d),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(c,"create prompt");const{repo:h}=await c.json();return h}async createCommit(e,t,n){if(!await this.promptExists(e))throw new Error("Prompt does not exist, you must create it first.");const[a,o,u]=gi(e),d=(n==null?void 0:n.parentCommitHash)==="latest"||!(n!=null&&n.parentCommitHash)?await this._getLatestCommitHash(`${a}/${o}`):n==null?void 0:n.parentCommitHash,c={manifest:JSON.parse(JSON.stringify(t)),parent_commit:d},h=await this.caller.call(Qt(),`${this.apiUrl}/commits/${a}/${o}`,{method:"POST",headers:{...this.headers,"Content-Type":"application/json"},body:JSON.stringify(c),signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(h,"create commit");const _=await h.json();return this._getPromptUrl(`${a}/${o}${_.commit_hash?`:${_.commit_hash}`:""}`)}async updateExamplesMultipart(e,t=[]){if(!await this._getMultiPartSupport())throw new Error("Your LangSmith version does not allow using the multipart examples endpoint, please update to the latest version.");const n=new FormData;for(const u of t){const d=u.id,c={...u.metadata&&{metadata:u.metadata},...u.split&&{split:u.split}},h=bs(c),_=new Blob([h],{type:"application/json"});if(n.append(d,_),u.inputs){const y=bs(u.inputs),w=new Blob([y],{type:"application/json"});n.append(`${d}.inputs`,w)}if(u.outputs){const y=bs(u.outputs),w=new Blob([y],{type:"application/json"});n.append(`${d}.outputs`,w)}if(u.attachments)for(const[y,w]of Object.entries(u.attachments)){let M,S;Array.isArray(w)?[M,S]=w:(M=w.mimeType,S=w.data);const G=new Blob([S],{type:`${M}; length=${S.byteLength}`});n.append(`${d}.attachment.${y}`,G)}if(u.attachments_operations){const y=bs(u.attachments_operations),w=new Blob([y],{type:"application/json"});n.append(`${d}.attachments_operations`,w)}}return await(await this.caller.call(Qt(),`${this.apiUrl}/v1/platform/datasets/${e}/examples`,{method:"PATCH",headers:this.headers,body:n})).json()}async uploadExamplesMultipart(e,t=[]){if(!await this._getMultiPartSupport())throw new Error("Your LangSmith version does not allow using the multipart examples endpoint, please update to the latest version.");const n=new FormData;for(const u of t){const d=(u.id??hs()).toString(),c={created_at:u.created_at,...u.metadata&&{metadata:u.metadata},...u.split&&{split:u.split}},h=bs(c),_=new Blob([h],{type:"application/json"});n.append(d,_);const y=bs(u.inputs),w=new Blob([y],{type:"application/json"});if(n.append(`${d}.inputs`,w),u.outputs){const M=bs(u.outputs),S=new Blob([M],{type:"application/json"});n.append(`${d}.outputs`,S)}if(u.attachments)for(const[M,S]of Object.entries(u.attachments)){let G,H;Array.isArray(S)?[G,H]=S:(G=S.mimeType,H=S.data);const B=new Blob([H],{type:`${G}; length=${H.byteLength}`});n.append(`${d}.attachment.${M}`,B)}}return await(await this.caller.call(Qt(),`${this.apiUrl}/v1/platform/datasets/${e}/examples`,{method:"POST",headers:this.headers,body:n})).json()}async updatePrompt(e,t){if(!await this.promptExists(e))throw new Error("Prompt does not exist, you must create it first.");const[n,a]=gi(e);if(!await this._currentTenantIsOwner(n))throw await this._ownerConflictError("update a prompt",n);const o={};if((t==null?void 0:t.description)!==void 0&&(o.description=t.description),(t==null?void 0:t.readme)!==void 0&&(o.readme=t.readme),(t==null?void 0:t.tags)!==void 0&&(o.tags=t.tags),(t==null?void 0:t.isPublic)!==void 0&&(o.is_public=t.isPublic),(t==null?void 0:t.isArchived)!==void 0&&(o.is_archived=t.isArchived),Object.keys(o).length===0)throw new Error("No valid update options provided");const u=await this.caller.call(Qt(),`${this.apiUrl}/repos/${n}/${a}`,{method:"PATCH",body:JSON.stringify(o),headers:{...this.headers,"Content-Type":"application/json"},signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});return await yr(u,"update prompt"),u.json()}async deletePrompt(e){if(!await this.promptExists(e))throw new Error("Prompt does not exist, you must create it first.");const[t,n,a]=gi(e);if(!await this._currentTenantIsOwner(t))throw await this._ownerConflictError("delete a prompt",t);return await(await this.caller.call(Qt(),`${this.apiUrl}/repos/${t}/${n}`,{method:"DELETE",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions})).json()}async pullPromptCommit(e,t){const[n,a,o]=gi(e),u=await this.caller.call(Qt(),`${this.apiUrl}/commits/${n}/${a}/${o}${t!=null&&t.includeModel?"?include_model=true":""}`,{method:"GET",headers:this.headers,signal:AbortSignal.timeout(this.timeout_ms),...this.fetchOptions});await yr(u,"pull prompt commit");const d=await u.json();return{owner:n,repo:a,commit_hash:d.commit_hash,manifest:d.manifest,examples:d.examples}}async _pullPrompt(e,t){const n=await this.pullPromptCommit(e,{includeModel:t==null?void 0:t.includeModel});return JSON.stringify(n.manifest)}async pushPrompt(e,t){return await this.promptExists(e)?t&&Object.keys(t).some(a=>a!=="object")&&await this.updatePrompt(e,{description:t==null?void 0:t.description,readme:t==null?void 0:t.readme,tags:t==null?void 0:t.tags,isPublic:t==null?void 0:t.isPublic}):await this.createPrompt(e,{description:t==null?void 0:t.description,readme:t==null?void 0:t.readme,tags:t==null?void 0:t.tags,isPublic:t==null?void 0:t.isPublic}),t!=null&&t.object?await this.createCommit(e,t==null?void 0:t.object,{parentCommitHash:t==null?void 0:t.parentCommitHash}):await this._getPromptUrl(e)}async clonePublicDataset(e,t={}){const{sourceApiUrl:n=this.apiUrl,datasetName:a}=t,[o,u]=this.parseTokenOrUrl(e,n),d=new Sp({apiUrl:o,apiKey:"placeholder"}),c=await d.readSharedDataset(u),h=a||c.name;try{if(await this.hasDataset({datasetId:h})){console.log(`Dataset ${h} already exists in your tenant. Skipping.`);return}}catch{}const _=await d.listSharedExamples(u),y=await this.createDataset(h,{description:c.description,dataType:c.data_type||"kv",inputsSchema:c.inputs_schema_definition??void 0,outputsSchema:c.outputs_schema_definition??void 0});try{await this.createExamples({inputs:_.map(w=>w.inputs),outputs:_.flatMap(w=>w.outputs?[w.outputs]:[]),datasetId:y.id})}catch(w){throw console.error(`An error occurred while creating dataset ${h}. You should delete it manually.`),w}}parseTokenOrUrl(e,t,n=2,a="dataset"){try{return Er(e),[t,e]}catch{}try{const u=new URL(e).pathname.split("/").filter(d=>d!=="");if(u.length>=n){const d=u[u.length-n];return[t,d]}else throw new Error(`Invalid public ${a} URL: ${e}`)}catch{throw new Error(`Invalid public ${a} URL or token: ${e}`)}}awaitPendingTraceBatches(){return this.manualFlushMode?(console.warn("[WARNING]: When tracing in manual flush mode, you must call `await client.flush()` manually to submit trace batches."),Promise.resolve()):Promise.all([...this.autoBatchQueue.items.map(({itemPromise:e})=>e),this.batchIngestCaller.queue.onIdle()])}}const mv="0.2.15";var ip={};let ja;const w3=()=>typeof window<"u"&&typeof window.document<"u",v3=()=>typeof globalThis=="object"&&globalThis.constructor&&globalThis.constructor.name==="DedicatedWorkerGlobalScope",E3=()=>typeof window<"u"&&window.name==="nodejs"||typeof navigator<"u"&&(navigator.userAgent.includes("Node.js")||navigator.userAgent.includes("jsdom")),_v=()=>typeof Deno<"u",T3=()=>typeof process<"u"&&typeof process.versions<"u"&&typeof process.versions.node<"u"&&!_v(),x3=()=>ja||(w3()?ja="browser":T3()?ja="node":v3()?ja="webworker":E3()?ja="jsdom":_v()?ja="deno":ja="other",ja);let Vg;function gv(){if(Vg===void 0){const r=x3(),e=C3();Vg={library:"langsmith",runtime:r,sdk:"langsmith-js",sdk_version:mv,...e}}return Vg}function M3(){const r=P3()||{},e={},t=["LANGCHAIN_API_KEY","LANGCHAIN_ENDPOINT","LANGCHAIN_TRACING_V2","LANGCHAIN_PROJECT","LANGCHAIN_SESSION","LANGSMITH_API_KEY","LANGSMITH_ENDPOINT","LANGSMITH_TRACING_V2","LANGSMITH_PROJECT","LANGSMITH_SESSION"];for(const[n,a]of Object.entries(r))(n.startsWith("LANGCHAIN_")||n.startsWith("LANGSMITH_"))&&typeof a=="string"&&!t.includes(n)&&!n.toLowerCase().includes("key")&&!n.toLowerCase().includes("secret")&&!n.toLowerCase().includes("token")&&(n==="LANGCHAIN_REVISION_ID"?e.revision_id=a:e[n]=a);return e}function P3(){try{return typeof process<"u"&&ip?Object.entries(ip).reduce((r,[e,t])=>(r[e]=String(t),r),{}):void 0}catch{return}}function Ti(r){try{return typeof process<"u"?ip==null?void 0:ip[r]:void 0}catch{return}}function go(r){return Ti(`LANGSMITH_${r}`)||Ti(`LANGCHAIN_${r}`)}let Wg;function C3(){if(Wg!==void 0)return Wg;const r=["VERCEL_GIT_COMMIT_SHA","NEXT_PUBLIC_VERCEL_GIT_COMMIT_SHA","COMMIT_REF","RENDER_GIT_COMMIT","CI_COMMIT_SHA","CIRCLE_SHA1","CF_PAGES_COMMIT_SHA","REACT_APP_GIT_SHA","SOURCE_VERSION","GITHUB_SHA","TRAVIS_COMMIT","GIT_COMMIT","BUILD_VCS_NUMBER","bamboo_planRepository_revision","Build.SourceVersion","BITBUCKET_COMMIT","DRONE_COMMIT_SHA","SEMAPHORE_GIT_SHA","BUILDKITE_COMMIT"],e={};for(const t of r){const n=Ti(t);n!==void 0&&(e[t]=n)}return Wg=e,e}const S3=r=>!!["TRACING_V2","TRACING"].find(t=>go(t)==="true"),Gg=Symbol.for("lc:context_variables");function A3(r){return r.replace(/[-:.]/g,"")}function k3(r,e,t=1){const n=t.toFixed(0).slice(0,3).padStart(3,"0");return A3(`${new Date(r).toISOString().slice(0,-1)}${n}Z`)+e}class __{constructor(e,t){Object.defineProperty(this,"metadata",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"tags",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.metadata=e,this.tags=t}static fromHeader(e){const t=e.split(",");let n={},a=[];for(const o of t){const[u,d]=o.split("="),c=decodeURIComponent(d);u==="langsmith-metadata"?n=JSON.parse(c):u==="langsmith-tags"&&(a=c.split(","))}return new __(n,a)}toHeader(){const e=[];return this.metadata&&Object.keys(this.metadata).length>0&&e.push(`langsmith-metadata=${encodeURIComponent(JSON.stringify(this.metadata))}`),this.tags&&this.tags.length>0&&e.push(`langsmith-tags=${encodeURIComponent(this.tags.join(","))}`),e.join(",")}}class ys{constructor(e){var d;if(Object.defineProperty(this,"id",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"run_type",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"project_name",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"parent_run",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"child_runs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"start_time",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"end_time",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"extra",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"tags",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"error",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"serialized",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"inputs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"outputs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"reference_example_id",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"client",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"events",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"trace_id",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"dotted_order",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"tracingEnabled",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"execution_order",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"child_execution_order",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"attachments",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),bv(e)){Object.assign(this,{...e});return}const t=ys.getDefaultConfig(),{metadata:n,...a}=e,o=a.client??ys.getSharedClient(),u={...n,...(d=a==null?void 0:a.extra)==null?void 0:d.metadata};if(a.extra={...a.extra,metadata:u},Object.assign(this,{...t,...a,client:o}),this.trace_id||(this.parent_run?this.trace_id=this.parent_run.trace_id??this.id:this.trace_id=this.id),this.execution_order??(this.execution_order=1),this.child_execution_order??(this.child_execution_order=1),!this.dotted_order){const c=k3(this.start_time,this.id,this.execution_order);this.parent_run?this.dotted_order=this.parent_run.dotted_order+"."+c:this.dotted_order=c}}static getDefaultConfig(){return{id:hs(),run_type:"chain",project_name:Ti("LANGCHAIN_PROJECT")??Ti("LANGCHAIN_SESSION")??"default",child_runs:[],api_url:Ti("LANGCHAIN_ENDPOINT")??"http://localhost:1984",api_key:Ti("LANGCHAIN_API_KEY"),caller_options:{},start_time:Date.now(),serialized:{},inputs:{},extra:{}}}static getSharedClient(){return ys.sharedClient||(ys.sharedClient=new Sp),ys.sharedClient}createChild(e){var c,h,_,y,w,M;const t=this.child_execution_order+1,n=new ys({...e,parent_run:this,project_name:this.project_name,client:this.client,tracingEnabled:this.tracingEnabled,execution_order:t,child_execution_order:t});Gg in this&&(n[Gg]=this[Gg]);const a=Symbol.for("lc:child_config"),o=((c=e.extra)==null?void 0:c[a])??this.extra[a];if($3(o)){const S={...o},G=I3(S.callbacks)?(_=(h=S.callbacks).copy)==null?void 0:_.call(h):void 0;G&&(Object.assign(G,{_parentRunId:n.id}),(M=(w=(y=G.handlers)==null?void 0:y.find(yv))==null?void 0:w.updateFromRunTree)==null||M.call(w,n),S.callbacks=G),n.extra[a]=S}const u=new Set;let d=this;for(;d!=null&&!u.has(d.id);)u.add(d.id),d.child_execution_order=Math.max(d.child_execution_order,t),d=d.parent_run;return this.child_runs.push(n),n}async end(e,t,n=Date.now(),a){this.outputs=this.outputs??e,this.error=this.error??t,this.end_time=this.end_time??n,a&&Object.keys(a).length>0&&(this.extra=this.extra?{...this.extra,metadata:{...this.extra.metadata,...a}}:{metadata:a})}_convertToCreate(e,t,n=!0){var c;const a=e.extra??{};if(a.runtime||(a.runtime={}),t)for(const[h,_]of Object.entries(t))a.runtime[h]||(a.runtime[h]=_);let o,u;return n?(u=(c=e.parent_run)==null?void 0:c.id,o=[]):(o=e.child_runs.map(h=>this._convertToCreate(h,t,n)),u=void 0),{id:e.id,name:e.name,start_time:e.start_time,end_time:e.end_time,run_type:e.run_type,reference_example_id:e.reference_example_id,extra:a,serialized:e.serialized,error:e.error,inputs:e.inputs,outputs:e.outputs,session_name:e.project_name,child_runs:o,parent_run_id:u,trace_id:e.trace_id,dotted_order:e.dotted_order,tags:e.tags,attachments:e.attachments}}async postRun(e=!0){try{const t=gv(),n=await this._convertToCreate(this,t,!0);if(await this.client.createRun(n),!e){ov("Posting with excludeChildRuns=false is deprecated and will be removed in a future version.");for(const a of this.child_runs)await a.postRun(!1)}}catch(t){console.error(`Error in postRun for run ${this.id}:`,t)}}async patchRun(){var e;try{const t={end_time:this.end_time,error:this.error,inputs:this.inputs,outputs:this.outputs,parent_run_id:(e=this.parent_run)==null?void 0:e.id,reference_example_id:this.reference_example_id,extra:this.extra,events:this.events,dotted_order:this.dotted_order,trace_id:this.trace_id,tags:this.tags,attachments:this.attachments};await this.client.updateRun(this.id,t)}catch(t){console.error(`Error in patchRun for run ${this.id}`,t)}}toJSON(){return this._convertToCreate(this,void 0,!1)}static fromRunnableConfig(e,t){var h,_,y,w;const n=e==null?void 0:e.callbacks;let a,o,u,d=S3();if(n){const M=((h=n==null?void 0:n.getParentRunId)==null?void 0:h.call(n))??"",S=(_=n==null?void 0:n.handlers)==null?void 0:_.find(G=>(G==null?void 0:G.name)=="langchain_tracer");a=(y=S==null?void 0:S.getRun)==null?void 0:y.call(S,M),o=S==null?void 0:S.projectName,u=S==null?void 0:S.client,d=d||!!S}return a?new ys({name:a.name,id:a.id,trace_id:a.trace_id,dotted_order:a.dotted_order,client:u,tracingEnabled:d,project_name:o,tags:[...new Set(((a==null?void 0:a.tags)??[]).concat((e==null?void 0:e.tags)??[]))],extra:{metadata:{...(w=a==null?void 0:a.extra)==null?void 0:w.metadata,...e==null?void 0:e.metadata}}}).createChild(t):new ys({...t,client:u,tracingEnabled:d,project_name:o})}static fromDottedOrder(e){return this.fromHeaders({"langsmith-trace":e})}static fromHeaders(e,t){var h;const n="get"in e&&typeof e.get=="function"?{"langsmith-trace":e.get("langsmith-trace"),baggage:e.get("baggage")}:e,a=n["langsmith-trace"];if(!a||typeof a!="string")return;const o=a.trim(),u=o.split(".").map(_=>{const[y,w]=_.split("Z");return{strTime:y,time:Date.parse(y+"Z"),uuid:w}}),d=u[0].uuid,c={...t,name:(t==null?void 0:t.name)??"parent",run_type:(t==null?void 0:t.run_type)??"chain",start_time:(t==null?void 0:t.start_time)??Date.now(),id:(h=u.at(-1))==null?void 0:h.uuid,trace_id:d,dotted_order:o};if(n.baggage&&typeof n.baggage=="string"){const _=__.fromHeader(n.baggage);c.metadata=_.metadata,c.tags=_.tags}return new ys(c)}toHeaders(e){var n;const t={"langsmith-trace":this.dotted_order,baggage:new __((n=this.extra)==null?void 0:n.metadata,this.tags).toHeader()};if(e)for(const[a,o]of Object.entries(t))e.set(a,o);return t}}Object.defineProperty(ys,"sharedClient",{enumerable:!0,configurable:!0,writable:!0,value:null});function bv(r){return r!==void 0&&typeof r.createChild=="function"&&typeof r.postRun=="function"}function yv(r){return typeof r=="object"&&r!=null&&typeof r.name=="string"&&r.name==="langchain_tracer"}function O1(r){return Array.isArray(r)&&r.some(e=>yv(e))}function I3(r){return typeof r=="object"&&r!=null&&Array.isArray(r.handlers)}function $3(r){var e;return r!==void 0&&typeof r.callbacks=="object"&&(O1((e=r.callbacks)==null?void 0:e.handlers)||O1(r.callbacks))}let O3=class{getStore(){}run(e,t){return t()}};const Hg=Symbol.for("ls:tracing_async_local_storage"),L3=new O3;let R3=class{getInstance(){return globalThis[Hg]??L3}initializeGlobalInstance(e){globalThis[Hg]===void 0&&(globalThis[Hg]=e)}};const F3=new R3,N3=()=>{const r=F3.getInstance().getStore();if(!bv(r))throw new Error(["Could not get the current run tree.","","Please make sure you are calling this method within a traceable function or the tracing is enabled."].join(`
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 * https://github.com/Starcounter-Jack/JSON-Patch
 * (c) 2017-2022 Joachim Wester
 * MIT licensed
 */const D3=Object.prototype.hasOwnProperty;function B3(r,e){return D3.call(r,e)}function j3(r){if(Array.isArray(r)){const t=new Array(r.length);for(let n=0;n<t.length;n++)t[n]=""+n;return t}if(Object.keys)return Object.keys(r);let e=[];for(let t in r)B3(r,t)&&e.push(t);return e}function Fl(r){switch(typeof r){case"object":return JSON.parse(JSON.stringify(r));case"undefined":return null;default:return r}}function _0(r){let e=0;const t=r.length;let n;for(;e<t;){if(n=r.charCodeAt(e),n>=48&&n<=57){e++;continue}return!1}return!0}function z3(r){return r.replace(/~1/g,"/").replace(/~0/g,"~")}function g0(r){if(r===void 0)return!0;if(r){if(Array.isArray(r)){for(let t=0,n=r.length;t<n;t++)if(g0(r[t]))return!0}else if(typeof r=="object"){const t=j3(r),n=t.length;for(var e=0;e<n;e++)if(g0(r[t[e]]))return!0}}return!1}function L1(r,e){const t=[r];for(const n in e){const a=typeof e[n]=="object"?JSON.stringify(e[n],null,2):e[n];typeof a<"u"&&t.push(`${n}: ${a}`)}return t.join(`
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g_(r,e,t,n=!0,a=!0){if(t&&!Array.isArray(e))throw new Cn("Patch sequence must be an array","SEQUENCE_NOT_AN_ARRAY");n||(r=Fl(r));const o=new Array(e.length);for(let u=0,d=e.length;u<d;u++)o[u]=op(r,e[u],t,!0,a,u),r=o[u].newDocument;return o.newDocument=r,o}function y0(r,e,t,n){if(typeof r!="object"||r===null||Array.isArray(r))throw new Cn("Operation is not an object","OPERATION_NOT_AN_OBJECT",e,r,t);if(Sl[r.op]){if(typeof r.path!="string")throw new Cn("Operation `path` property is not a string","OPERATION_PATH_INVALID",e,r,t);if(r.path.indexOf("/")!==0&&r.path.length>0)throw new Cn('Operation `path` property must start with "/"',"OPERATION_PATH_INVALID",e,r,t);if((r.op==="move"||r.op==="copy")&&typeof r.from!="string")throw new Cn("Operation `from` property is not present (applicable in `move` and `copy` operations)","OPERATION_FROM_REQUIRED",e,r,t);if((r.op==="add"||r.op==="replace"||r.op==="test")&&r.value===void 0)throw new Cn("Operation `value` property is not present (applicable in `add`, `replace` and `test` operations)","OPERATION_VALUE_REQUIRED",e,r,t);if((r.op==="add"||r.op==="replace"||r.op==="test")&&g0(r.value))throw new Cn("Operation `value` property is not present (applicable in `add`, `replace` and `test` operations)","OPERATION_VALUE_CANNOT_CONTAIN_UNDEFINED",e,r,t);if(t){if(r.op=="add"){var a=r.path.split("/").length,o=n.split("/").length;if(a!==o+1&&a!==o)throw new Cn("Cannot perform an `add` operation at the desired path","OPERATION_PATH_CANNOT_ADD",e,r,t)}else if(r.op==="replace"||r.op==="remove"||r.op==="_get"){if(r.path!==n)throw new Cn("Cannot perform the operation at a path that does not exist","OPERATION_PATH_UNRESOLVABLE",e,r,t)}else if(r.op==="move"||r.op==="copy"){var u={op:"_get",path:r.from,value:void 0},d=W3([u],t);if(d&&d.name==="OPERATION_PATH_UNRESOLVABLE")throw new Cn("Cannot perform the operation from a path that does not exist","OPERATION_FROM_UNRESOLVABLE",e,r,t)}}}else throw new Cn("Operation `op` property is not one of 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navigator<"u"&&(navigator.userAgent.includes("Node.js")||navigator.userAgent.includes("jsdom")),Q0=()=>typeof Deno<"u",ak=()=>typeof process<"u"&&typeof process.versions<"u"&&typeof process.versions.node<"u"&&!Q0(),Mv=()=>{let r;return rk()?r="browser":ak()?r="node":nk()?r="webworker":sk()?r="jsdom":Q0()?r="deno":r="other",r};let qg;async function ik(){return qg===void 0&&(qg={library:"langchain-js",runtime:Mv()}),qg}function xi(r){try{return typeof process<"u"?Kg==null?void 0:Kg[r]:Q0()?Deno==null?void 0:Deno.env.get(r):void 0}catch{return}}class ok{}class Fp extends ok{get lc_namespace(){return["langchain_core","callbacks",this.name]}get lc_secrets(){}get lc_attributes(){}get lc_aliases(){}static lc_name(){return this.name}get lc_id(){return[...this.lc_namespace,xv(this.constructor)]}constructor(e){super(),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!1}),Object.defineProperty(this,"lc_kwargs",{enumerable:!0,configurable:!0,writable:!0,value:void 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new this.constructor(this)}toJSON(){return Nl.prototype.toJSON.call(this)}toJSONNotImplemented(){return Nl.prototype.toJSONNotImplemented.call(this)}static fromMethods(e){class t extends Fp{constructor(){super(),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:hs()}),Object.assign(this,e)}}return new t}}const uk=r=>{const e=r;return e!==void 0&&typeof e.copy=="function"&&typeof e.name=="string"&&typeof e.awaitHandlers=="boolean"};function Zg(r,e){return r&&!Array.isArray(r)&&typeof r=="object"?r:{[e]:r}}function lk(r){return r.replace(/[-:.]/g,"")}function ck(r,e,t){const n=t.toFixed(0).slice(0,3).padStart(3,"0");return lk(`${new Date(r).toISOString().slice(0,-1)}${n}Z`)+e}function Jf(r){return typeof r._addRunToRunMap=="function"}class Np extends Fp{constructor(e){super(...arguments),Object.defineProperty(this,"runMap",{enumerable:!0,configurable:!0,writable:!0,value:new Map})}copy(){return this}stringifyError(e){return e instanceof 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handleChatModelStart(e,t,n,a,o,u,d,c){var _,y;const h=this.runMap.get(n)??this._createRunForChatModelStart(e,t,n,a,o,u,d,c);return await((_=this.onRunCreate)==null?void 0:_.call(this,h)),await((y=this.onLLMStart)==null?void 0:y.call(this,h)),h}async handleLLMEnd(e,t){var a;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="llm")throw new Error("No LLM run to end.");return n.end_time=Date.now(),n.outputs=e,n.events.push({name:"end",time:new Date(n.end_time).toISOString()}),await((a=this.onLLMEnd)==null?void 0:a.call(this,n)),await this._endTrace(n),n}async handleLLMError(e,t){var a;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="llm")throw new Error("No LLM run to end.");return n.end_time=Date.now(),n.error=this.stringifyError(e),n.events.push({name:"error",time:new Date(n.end_time).toISOString()}),await((a=this.onLLMError)==null?void 0:a.call(this,n)),await this._endTrace(n),n}_createRunForChainStart(e,t,n,a,o,u,d,c){const h=this._getExecutionOrder(a),_=Date.now(),y={id:n,name:c??e.id[e.id.length-1],parent_run_id:a,start_time:_,serialized:e,events:[{name:"start",time:new Date(_).toISOString()}],inputs:t,execution_order:h,child_execution_order:h,run_type:d??"chain",child_runs:[],extra:u?{metadata:u}:{},tags:o||[]};return this._addRunToRunMap(y)}async handleChainStart(e,t,n,a,o,u,d,c){var _,y;const h=this.runMap.get(n)??this._createRunForChainStart(e,t,n,a,o,u,d,c);return await((_=this.onRunCreate)==null?void 0:_.call(this,h)),await((y=this.onChainStart)==null?void 0:y.call(this,h)),h}async handleChainEnd(e,t,n,a,o){var d;const u=this.runMap.get(t);if(!u)throw new Error("No chain run to end.");return u.end_time=Date.now(),u.outputs=Zg(e,"output"),u.events.push({name:"end",time:new Date(u.end_time).toISOString()}),(o==null?void 0:o.inputs)!==void 0&&(u.inputs=Zg(o.inputs,"input")),await((d=this.onChainEnd)==null?void 0:d.call(this,u)),await this._endTrace(u),u}async handleChainError(e,t,n,a,o){var d;const u=this.runMap.get(t);if(!u)throw new Error("No chain run to end.");return u.end_time=Date.now(),u.error=this.stringifyError(e),u.events.push({name:"error",time:new Date(u.end_time).toISOString()}),(o==null?void 0:o.inputs)!==void 0&&(u.inputs=Zg(o.inputs,"input")),await((d=this.onChainError)==null?void 0:d.call(this,u)),await this._endTrace(u),u}_createRunForToolStart(e,t,n,a,o,u,d){const c=this._getExecutionOrder(a),h=Date.now(),_={id:n,name:d??e.id[e.id.length-1],parent_run_id:a,start_time:h,serialized:e,events:[{name:"start",time:new Date(h).toISOString()}],inputs:{input:t},execution_order:c,child_execution_order:c,run_type:"tool",child_runs:[],extra:u?{metadata:u}:{},tags:o||[]};return this._addRunToRunMap(_)}async handleToolStart(e,t,n,a,o,u,d){var h,_;const c=this.runMap.get(n)??this._createRunForToolStart(e,t,n,a,o,u,d);return await((h=this.onRunCreate)==null?void 0:h.call(this,c)),await((_=this.onToolStart)==null?void 0:_.call(this,c)),c}async handleToolEnd(e,t){var a;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="tool")throw new Error("No tool run to end");return n.end_time=Date.now(),n.outputs={output:e},n.events.push({name:"end",time:new Date(n.end_time).toISOString()}),await((a=this.onToolEnd)==null?void 0:a.call(this,n)),await this._endTrace(n),n}async handleToolError(e,t){var a;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="tool")throw new Error("No tool run to end");return n.end_time=Date.now(),n.error=this.stringifyError(e),n.events.push({name:"error",time:new Date(n.end_time).toISOString()}),await((a=this.onToolError)==null?void 0:a.call(this,n)),await this._endTrace(n),n}async handleAgentAction(e,t){var o;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="chain")return;const a=n;a.actions=a.actions||[],a.actions.push(e),a.events.push({name:"agent_action",time:new Date().toISOString(),kwargs:{action:e}}),await((o=this.onAgentAction)==null?void 0:o.call(this,n))}async handleAgentEnd(e,t){var a;const n=this.runMap.get(t);!n||(n==null?void 0:n.run_type)!=="chain"||(n.events.push({name:"agent_end",time:new Date().toISOString(),kwargs:{action:e}}),await((a=this.onAgentEnd)==null?void 0:a.call(this,n)))}_createRunForRetrieverStart(e,t,n,a,o,u,d){const c=this._getExecutionOrder(a),h=Date.now(),_={id:n,name:d??e.id[e.id.length-1],parent_run_id:a,start_time:h,serialized:e,events:[{name:"start",time:new Date(h).toISOString()}],inputs:{query:t},execution_order:c,child_execution_order:c,run_type:"retriever",child_runs:[],extra:u?{metadata:u}:{},tags:o||[]};return this._addRunToRunMap(_)}async handleRetrieverStart(e,t,n,a,o,u,d){var h,_;const c=this.runMap.get(n)??this._createRunForRetrieverStart(e,t,n,a,o,u,d);return await((h=this.onRunCreate)==null?void 0:h.call(this,c)),await((_=this.onRetrieverStart)==null?void 0:_.call(this,c)),c}async handleRetrieverEnd(e,t){var a;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="retriever")throw new Error("No retriever run to end");return n.end_time=Date.now(),n.outputs={documents:e},n.events.push({name:"end",time:new Date(n.end_time).toISOString()}),await((a=this.onRetrieverEnd)==null?void 0:a.call(this,n)),await this._endTrace(n),n}async handleRetrieverError(e,t){var a;const n=this.runMap.get(t);if(!n||(n==null?void 0:n.run_type)!=="retriever")throw new Error("No retriever run to end");return n.end_time=Date.now(),n.error=this.stringifyError(e),n.events.push({name:"error",time:new Date(n.end_time).toISOString()}),await((a=this.onRetrieverError)==null?void 0:a.call(this,n)),await this._endTrace(n),n}async handleText(e,t){var a;const n=this.runMap.get(t);!n||(n==null?void 0:n.run_type)!=="chain"||(n.events.push({name:"text",time:new Date().toISOString(),kwargs:{text:e}}),await((a=this.onText)==null?void 0:a.call(this,n)))}async handleLLMNewToken(e,t,n,a,o,u){var c;const d=this.runMap.get(n);if(!d||(d==null?void 0:d.run_type)!=="llm")throw new Error('Invalid "runId" provided to "handleLLMNewToken" callback.');return d.events.push({name:"new_token",time:new Date().toISOString(),kwargs:{token:e,idx:t,chunk:u==null?void 0:u.chunk}}),await((c=this.onLLMNewToken)==null?void 0:c.call(this,d,e,{chunk:u==null?void 0:u.chunk})),d}}var J0={exports:{}};J0.exports;(function(r){const t=(o=0)=>u=>`\x1B[${38+o};5;${u}m`,n=(o=0)=>(u,d,c)=>`\x1B[${38+o};2;${u};${d};${c}m`;function a(){const o=new 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Object.entries(c))u[h]={open:`\x1B[${_[0]}m`,close:`\x1B[${_[1]}m`},c[h]=u[h],o.set(_[0],_[1]);Object.defineProperty(u,d,{value:c,enumerable:!1})}return Object.defineProperty(u,"codes",{value:o,enumerable:!1}),u.color.close="\x1B[39m",u.bgColor.close="\x1B[49m",u.color.ansi256=t(),u.color.ansi16m=n(),u.bgColor.ansi256=t(10),u.bgColor.ansi16m=n(10),Object.defineProperties(u,{rgbToAnsi256:{value:(d,c,h)=>d===c&&c===h?d<8?16:d>248?231:Math.round((d-8)/247*24)+232:16+36*Math.round(d/255*5)+6*Math.round(c/255*5)+Math.round(h/255*5),enumerable:!1},hexToRgb:{value:d=>{const c=/(?<colorString>[a-f\d]{6}|[a-f\d]{3})/i.exec(d.toString(16));if(!c)return[0,0,0];let{colorString:h}=c.groups;h.length===3&&(h=h.split("").map(y=>y+y).join(""));const _=Number.parseInt(h,16);return[_>>16&255,_>>8&255,_&255]},enumerable:!1},hexToAnsi256:{value:d=>u.rgbToAnsi256(...u.hexToRgb(d)),enumerable:!1}}),u}Object.defineProperty(r,"exports",{enumerable:!0,get:a})})(J0);var dk=J0.exports,Pv=A_(dk);function Xn(r,e){return`${r.open}${e}${r.close}`}function $s(r,e){try{return JSON.stringify(r,null,2)}catch{return e}}function B1(r){return typeof r=="string"?r.trim():r==null?r:$s(r,r.toString())}function bi(r){if(!r.end_time)return"";const e=r.end_time-r.start_time;return e<1e3?`${e}ms`:`${(e/1e3).toFixed(2)}s`}const{color:cs}=Pv;class j1 extends Np{constructor(){super(...arguments),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:"console_callback_handler"})}persistRun(e){return Promise.resolve()}getParents(e){const t=[];let n=e;for(;n.parent_run_id;){const a=this.runMap.get(n.parent_run_id);if(a)t.push(a),n=a;else break}return t}getBreadcrumbs(e){const n=[...this.getParents(e).reverse(),e].map((a,o,u)=>{const d=`${a.execution_order}:${a.run_type}:${a.name}`;return o===u.length-1?Xn(Pv.bold,d):d}).join(" > ");return Xn(cs.grey,n)}onChainStart(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.green,"[chain/start]")} [${t}] Entering Chain run with input: ${$s(e.inputs,"[inputs]")}`)}onChainEnd(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.cyan,"[chain/end]")} [${t}] [${bi(e)}] Exiting Chain run with output: ${$s(e.outputs,"[outputs]")}`)}onChainError(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.red,"[chain/error]")} [${t}] [${bi(e)}] Chain run errored with error: ${$s(e.error,"[error]")}`)}onLLMStart(e){const t=this.getBreadcrumbs(e),n="prompts"in e.inputs?{prompts:e.inputs.prompts.map(a=>a.trim())}:e.inputs;console.log(`${Xn(cs.green,"[llm/start]")} [${t}] Entering LLM run with input: ${$s(n,"[inputs]")}`)}onLLMEnd(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.cyan,"[llm/end]")} [${t}] [${bi(e)}] Exiting LLM run with output: ${$s(e.outputs,"[response]")}`)}onLLMError(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.red,"[llm/error]")} [${t}] [${bi(e)}] LLM run errored with error: ${$s(e.error,"[error]")}`)}onToolStart(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.green,"[tool/start]")} [${t}] Entering Tool run with input: "${B1(e.inputs.input)}"`)}onToolEnd(e){var n;const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.cyan,"[tool/end]")} [${t}] [${bi(e)}] Exiting Tool run with output: "${B1((n=e.outputs)==null?void 0:n.output)}"`)}onToolError(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.red,"[tool/error]")} [${t}] [${bi(e)}] Tool run errored with error: ${$s(e.error,"[error]")}`)}onRetrieverStart(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.green,"[retriever/start]")} [${t}] Entering Retriever run with input: ${$s(e.inputs,"[inputs]")}`)}onRetrieverEnd(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.cyan,"[retriever/end]")} [${t}] [${bi(e)}] Exiting Retriever run with output: ${$s(e.outputs,"[outputs]")}`)}onRetrieverError(e){const t=this.getBreadcrumbs(e);console.log(`${Xn(cs.red,"[retriever/error]")} [${t}] [${bi(e)}] Retriever run errored with error: ${$s(e.error,"[error]")}`)}onAgentAction(e){const t=e,n=this.getBreadcrumbs(e);console.log(`${Xn(cs.blue,"[agent/action]")} [${n}] Agent selected action: ${$s(t.actions[t.actions.length-1],"[action]")}`)}}function hk(r){return!!(r&&typeof r=="object"&&"type"in r&&r.type==="tool_call")}class fk extends Error{constructor(e,t){super(e),Object.defineProperty(this,"output",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.output=t}}function pk(r){if(typeof r>"u")return null;try{return JSON.parse(r)}catch{}let e="";const t=[];let n=!1,a=!1;for(let o of r){if(n)o==='"'&&!a?n=!1:o===`
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e=="string"&&(e={content:e,additional_kwargs:t,response_metadata:{}}),e.additional_kwargs||(e.additional_kwargs={}),e.response_metadata||(e.response_metadata={}),super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","messages"]}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"content",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"additional_kwargs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"response_metadata",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"id",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.name=e.name,this.content=e.content,this.additional_kwargs=e.additional_kwargs,this.response_metadata=e.response_metadata,this.id=e.id}toDict(){return{type:this._getType(),data:this.toJSON().kwargs}}static lc_name(){return"BaseMessage"}get _printableFields(){return{id:this.id,content:this.content,name:this.name,additional_kwargs:this.additional_kwargs,response_metadata:this.response_metadata}}_updateId(e){this.id=e,this.lc_kwargs.id=e}get[Symbol.toStringTag](){return this.constructor.lc_name()}[Symbol.for("nodejs.util.inspect.custom")](e){if(e===null)return this;const t=_k(this._printableFields,Math.max(4,e));return`${this.constructor.lc_name()} ${t}`}}function y_(r,e){const t={...r};for(const[n,a]of Object.entries(e))if(t[n]==null)t[n]=a;else{if(a==null)continue;if(typeof t[n]!=typeof a||Array.isArray(t[n])!==Array.isArray(a))throw new Error(`field[${n}] already exists in the message chunk, but with a different type.`);if(typeof t[n]=="string"){if(n==="type")continue;t[n]+=a}else if(typeof t[n]=="object"&&!Array.isArray(t[n]))t[n]=y_(t[n],a);else if(Array.isArray(t[n]))t[n]=eb(t[n],a);else{if(t[n]===a)continue;console.warn(`field[${n}] already exists in this message chunk and value has unsupported type.`)}}return t}function eb(r,e){if(!(r===void 0&&e===void 0)){if(r===void 0||e===void 0)return r||e;{const t=[...r];for(const n of e)if(typeof n=="object"&&"index"in n&&typeof n.index=="number"){const a=t.findIndex(o=>o.index===n.index);a!==-1?t[a]=y_(t[a],n):t.push(n)}else{if(typeof n=="object"&&"text"in n&&n.text==="")continue;t.push(n)}return t}}}class bk extends gk{}class B_ extends bk{constructor(e){let t;if(typeof e=="string")t={content:e,tool_calls:[],invalid_tool_calls:[],tool_call_chunks:[]};else if(e.tool_call_chunks===void 0)t={...e,tool_calls:e.tool_calls??[],invalid_tool_calls:[],tool_call_chunks:[],usage_metadata:e.usage_metadata!==void 0?e.usage_metadata:void 0};else{const n=[],a=[];for(const o of 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0}),this.tool_call_chunks=t.tool_call_chunks??this.tool_call_chunks,this.tool_calls=t.tool_calls??this.tool_calls,this.invalid_tool_calls=t.invalid_tool_calls??this.invalid_tool_calls,this.usage_metadata=t.usage_metadata}get lc_aliases(){return{...super.lc_aliases,tool_calls:"tool_calls",invalid_tool_calls:"invalid_tool_calls",tool_call_chunks:"tool_call_chunks"}}static lc_name(){return"AIMessageChunk"}_getType(){return"ai"}get _printableFields(){return{...super._printableFields,tool_calls:this.tool_calls,tool_call_chunks:this.tool_call_chunks,invalid_tool_calls:this.invalid_tool_calls,usage_metadata:this.usage_metadata}}concat(e){var n,a,o,u,d,c,h,_,y,w,M,S,G,H,B,z,U,F,I,k,$,j,ce,ue,Pe,Te,ie,oe,re,ge,ve,me,Le,$e,pe,X,le,ke,Re,Xe;const t={content:mk(this.content,e.content),additional_kwargs:y_(this.additional_kwargs,e.additional_kwargs),response_metadata:y_(this.response_metadata,e.response_metadata),tool_call_chunks:[],id:this.id??e.id};if(this.tool_call_chunks!==void 0||e.tool_call_chunks!==void 0){const ae=eb(this.tool_call_chunks,e.tool_call_chunks);ae!==void 0&&ae.length>0&&(t.tool_call_chunks=ae)}if(this.usage_metadata!==void 0||e.usage_metadata!==void 0){const ae={...(((a=(n=this.usage_metadata)==null?void 0:n.input_token_details)==null?void 0:a.audio)!==void 0||((u=(o=e.usage_metadata)==null?void 0:o.input_token_details)==null?void 0:u.audio)!==void 0)&&{audio:(((c=(d=this.usage_metadata)==null?void 0:d.input_token_details)==null?void 0:c.audio)??0)+(((_=(h=e.usage_metadata)==null?void 0:h.input_token_details)==null?void 0:_.audio)??0)},...(((w=(y=this.usage_metadata)==null?void 0:y.input_token_details)==null?void 0:w.cache_read)!==void 0||((S=(M=e.usage_metadata)==null?void 0:M.input_token_details)==null?void 0:S.cache_read)!==void 0)&&{cache_read:(((H=(G=this.usage_metadata)==null?void 0:G.input_token_details)==null?void 0:H.cache_read)??0)+(((z=(B=e.usage_metadata)==null?void 0:B.input_token_details)==null?void 0:z.cache_read)??0)},...(((F=(U=this.usage_metadata)==null?void 0:U.input_token_details)==null?void 0:F.cache_creation)!==void 0||((k=(I=e.usage_metadata)==null?void 0:I.input_token_details)==null?void 0:k.cache_creation)!==void 0)&&{cache_creation:(((j=($=this.usage_metadata)==null?void 0:$.input_token_details)==null?void 0:j.cache_creation)??0)+(((ue=(ce=e.usage_metadata)==null?void 0:ce.input_token_details)==null?void 0:ue.cache_creation)??0)}},He={...(((Te=(Pe=this.usage_metadata)==null?void 0:Pe.output_token_details)==null?void 0:Te.audio)!==void 0||((oe=(ie=e.usage_metadata)==null?void 0:ie.output_token_details)==null?void 0:oe.audio)!==void 0)&&{audio:(((ge=(re=this.usage_metadata)==null?void 0:re.output_token_details)==null?void 0:ge.audio)??0)+(((me=(ve=e.usage_metadata)==null?void 0:ve.output_token_details)==null?void 0:me.audio)??0)},...((($e=(Le=this.usage_metadata)==null?void 0:Le.output_token_details)==null?void 0:$e.reasoning)!==void 0||((X=(pe=e.usage_metadata)==null?void 0:pe.output_token_details)==null?void 0:X.reasoning)!==void 0)&&{reasoning:(((ke=(le=this.usage_metadata)==null?void 0:le.output_token_details)==null?void 0:ke.reasoning)??0)+(((Xe=(Re=e.usage_metadata)==null?void 0:Re.output_token_details)==null?void 0:Xe.reasoning)??0)}},Ve=this.usage_metadata??{input_tokens:0,output_tokens:0,total_tokens:0},he=e.usage_metadata??{input_tokens:0,output_tokens:0,total_tokens:0},Se={input_tokens:Ve.input_tokens+he.input_tokens,output_tokens:Ve.output_tokens+he.output_tokens,total_tokens:Ve.total_tokens+he.total_tokens,...Object.keys(ae).length>0&&{input_token_details:ae},...Object.keys(He).length>0&&{output_token_details:He}};t.usage_metadata=Se}return new B_(t)}}function yk(r,e="Human",t="AI"){const n=[];for(const a of r){let o;if(a._getType()==="human")o=e;else if(a._getType()==="ai")o=t;else if(a._getType()==="system")o="System";else if(a._getType()==="function")o="Function";else if(a._getType()==="tool")o="Tool";else if(a._getType()==="generic")o=a.role;else throw new Error(`Got unsupported message type: ${a._getType()}`);const u=a.name?`${a.name}, `:"",d=typeof a.content=="string"?a.content:JSON.stringify(a.content,null,2);n.push(`${o}: ${u}${d}`)}return n.join(`
`)}let Yg;const wk=()=>{if(Yg===void 0){const r=xi("LANGCHAIN_CALLBACKS_BACKGROUND")==="false"?{blockOnRootRunFinalization:!0}:{};Yg=new Sp(r)}return Yg};class up extends Np{constructor(e={}){super(e),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:"langchain_tracer"}),Object.defineProperty(this,"projectName",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"exampleId",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"client",{enumerable:!0,configurable:!0,writable:!0,value:void 0});const{exampleId:t,projectName:n,client:a}=e;this.projectName=n??xi("LANGCHAIN_PROJECT")??xi("LANGCHAIN_SESSION"),this.exampleId=t,this.client=a??wk();const o=up.getTraceableRunTree();o&&this.updateFromRunTree(o)}async _convertToCreate(e,t=void 0){return{...e,extra:{...e.extra,runtime:await ik()},child_runs:void 0,session_name:this.projectName,reference_example_id:e.parent_run_id?void 0:t}}async persistRun(e){}async onRunCreate(e){const t=await this._convertToCreate(e,this.exampleId);await this.client.createRun(t)}async onRunUpdate(e){const t={end_time:e.end_time,error:e.error,outputs:e.outputs,events:e.events,inputs:e.inputs,trace_id:e.trace_id,dotted_order:e.dotted_order,parent_run_id:e.parent_run_id};await this.client.updateRun(e.id,t)}getRun(e){return this.runMap.get(e)}updateFromRunTree(e){let t=e;const n=new Set;for(;t.parent_run&&!(n.has(t.id)||(n.add(t.id),!t.parent_run));)t=t.parent_run;n.clear();const a=[t];for(;a.length>0;){const o=a.shift();!o||n.has(o.id)||(n.add(o.id),this.runMap.set(o.id,o),o.child_runs&&a.push(...o.child_runs))}this.client=e.client??this.client,this.projectName=e.project_name??this.projectName,this.exampleId=e.reference_example_id??this.exampleId}convertToRunTree(e){const t={},n=[];for(const[a,o]of this.runMap){const u=new ys({...o,child_runs:[],parent_run:void 0,client:this.client,project_name:this.projectName,reference_example_id:this.exampleId,tracingEnabled:!0});t[a]=u,n.push([a,o.dotted_order])}n.sort((a,o)=>!a[1]||!o[1]?0:a[1].localeCompare(o[1]));for(const[a]of n){const o=this.runMap.get(a),u=t[a];if(!(!o||!u)&&o.parent_run_id){const d=t[o.parent_run_id];d&&(d.child_runs.push(u),u.parent_run=d)}}return t[e]}static getTraceableRunTree(){try{return N3()}catch{return}}}const Cv=Symbol.for("ls:tracing_async_local_storage"),Ym=Symbol.for("lc:context_variables"),vk=r=>{globalThis[Cv]=r},Ap=()=>globalThis[Cv];let lp;function Ek(){const r="default"in Va?Va.default:Va;return new r({autoStart:!0,concurrency:1})}function Tk(){return typeof lp>"u"&&(lp=Ek()),lp}async function In(r,e){if(e===!0){const t=Ap();t!==void 0?await t.run(void 0,async()=>r()):await r()}else lp=Tk(),lp.add(async()=>{const t=Ap();t!==void 0?await t.run(void 0,async()=>r()):await r()})}const xk=r=>!!["LANGSMITH_TRACING_V2","LANGCHAIN_TRACING_V2","LANGSMITH_TRACING","LANGCHAIN_TRACING"].find(t=>xi(t)==="true");function Sv(r){var n;const e=Ap();if(e===void 0)return;const t=e.getStore();return(n=t==null?void 0:t[Ym])==null?void 0:n[r]}const Mk=Symbol("lc:configure_hooks"),Pk=()=>Sv(Mk)||[];class Ck{setHandler(e){return this.setHandlers([e])}}class j_{constructor(e,t,n,a,o,u,d,c){Object.defineProperty(this,"runId",{enumerable:!0,configurable:!0,writable:!0,value:e}),Object.defineProperty(this,"handlers",{enumerable:!0,configurable:!0,writable:!0,value:t}),Object.defineProperty(this,"inheritableHandlers",{enumerable:!0,configurable:!0,writable:!0,value:n}),Object.defineProperty(this,"tags",{enumerable:!0,configurable:!0,writable:!0,value:a}),Object.defineProperty(this,"inheritableTags",{enumerable:!0,configurable:!0,writable:!0,value:o}),Object.defineProperty(this,"metadata",{enumerable:!0,configurable:!0,writable:!0,value:u}),Object.defineProperty(this,"inheritableMetadata",{enumerable:!0,configurable:!0,writable:!0,value:d}),Object.defineProperty(this,"_parentRunId",{enumerable:!0,configurable:!0,writable:!0,value:c})}get parentRunId(){return this._parentRunId}async handleText(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;try{await((n=t.handleText)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleText: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}async handleCustomEvent(e,t,n,a,o){await Promise.all(this.handlers.map(u=>In(async()=>{var d;try{await((d=u.handleCustomEvent)==null?void 0:d.call(u,e,t,this.runId,this.tags,this.metadata))}catch(c){if((u.raiseError?console.error:console.warn)(`Error in handler ${u.constructor.name}, handleCustomEvent: ${c}`),u.raiseError)throw c}},u.awaitHandlers)))}}class Sk extends j_{getChild(e){const t=new Ys(this.runId);return t.setHandlers(this.inheritableHandlers),t.addTags(this.inheritableTags),t.addMetadata(this.inheritableMetadata),e&&t.addTags([e],!1),t}async handleRetrieverEnd(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreRetriever)try{await((n=t.handleRetrieverEnd)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleRetriever`),t.raiseError)throw a}},t.awaitHandlers)))}async handleRetrieverError(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreRetriever)try{await((n=t.handleRetrieverError)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleRetrieverError: ${a}`),t.raiseError)throw e}},t.awaitHandlers)))}}class z1 extends j_{async handleLLMNewToken(e,t,n,a,o,u){await Promise.all(this.handlers.map(d=>In(async()=>{var c;if(!d.ignoreLLM)try{await((c=d.handleLLMNewToken)==null?void 0:c.call(d,e,t??{prompt:0,completion:0},this.runId,this._parentRunId,this.tags,u))}catch(h){if((d.raiseError?console.error:console.warn)(`Error in handler ${d.constructor.name}, handleLLMNewToken: ${h}`),d.raiseError)throw h}},d.awaitHandlers)))}async handleLLMError(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreLLM)try{await((n=t.handleLLMError)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleLLMError: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}async handleLLMEnd(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreLLM)try{await((n=t.handleLLMEnd)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleLLMEnd: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}}class Ak extends j_{getChild(e){const t=new Ys(this.runId);return t.setHandlers(this.inheritableHandlers),t.addTags(this.inheritableTags),t.addMetadata(this.inheritableMetadata),e&&t.addTags([e],!1),t}async handleChainError(e,t,n,a,o){await Promise.all(this.handlers.map(u=>In(async()=>{var d;if(!u.ignoreChain)try{await((d=u.handleChainError)==null?void 0:d.call(u,e,this.runId,this._parentRunId,this.tags,o))}catch(c){if((u.raiseError?console.error:console.warn)(`Error in handler ${u.constructor.name}, handleChainError: ${c}`),u.raiseError)throw c}},u.awaitHandlers)))}async handleChainEnd(e,t,n,a,o){await Promise.all(this.handlers.map(u=>In(async()=>{var d;if(!u.ignoreChain)try{await((d=u.handleChainEnd)==null?void 0:d.call(u,e,this.runId,this._parentRunId,this.tags,o))}catch(c){if((u.raiseError?console.error:console.warn)(`Error in handler ${u.constructor.name}, handleChainEnd: ${c}`),u.raiseError)throw c}},u.awaitHandlers)))}async handleAgentAction(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreAgent)try{await((n=t.handleAgentAction)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleAgentAction: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}async handleAgentEnd(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreAgent)try{await((n=t.handleAgentEnd)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleAgentEnd: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}}class kk extends j_{getChild(e){const t=new Ys(this.runId);return t.setHandlers(this.inheritableHandlers),t.addTags(this.inheritableTags),t.addMetadata(this.inheritableMetadata),e&&t.addTags([e],!1),t}async handleToolError(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreAgent)try{await((n=t.handleToolError)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleToolError: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}async handleToolEnd(e){await Promise.all(this.handlers.map(t=>In(async()=>{var n;if(!t.ignoreAgent)try{await((n=t.handleToolEnd)==null?void 0:n.call(t,e,this.runId,this._parentRunId,this.tags))}catch(a){if((t.raiseError?console.error:console.warn)(`Error in handler ${t.constructor.name}, handleToolEnd: ${a}`),t.raiseError)throw a}},t.awaitHandlers)))}}class Ys extends Ck{constructor(e,t){super(),Object.defineProperty(this,"handlers",{enumerable:!0,configurable:!0,writable:!0,value:[]}),Object.defineProperty(this,"inheritableHandlers",{enumerable:!0,configurable:!0,writable:!0,value:[]}),Object.defineProperty(this,"tags",{enumerable:!0,configurable:!0,writable:!0,value:[]}),Object.defineProperty(this,"inheritableTags",{enumerable:!0,configurable:!0,writable:!0,value:[]}),Object.defineProperty(this,"metadata",{enumerable:!0,configurable:!0,writable:!0,value:{}}),Object.defineProperty(this,"inheritableMetadata",{enumerable:!0,configurable:!0,writable:!0,value:{}}),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:"callback_manager"}),Object.defineProperty(this,"_parentRunId",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.handlers=(t==null?void 0:t.handlers)??this.handlers,this.inheritableHandlers=(t==null?void 0:t.inheritableHandlers)??this.inheritableHandlers,this.tags=(t==null?void 0:t.tags)??this.tags,this.inheritableTags=(t==null?void 0:t.inheritableTags)??this.inheritableTags,this.metadata=(t==null?void 0:t.metadata)??this.metadata,this.inheritableMetadata=(t==null?void 0:t.inheritableMetadata)??this.inheritableMetadata,this._parentRunId=e}getParentRunId(){return this._parentRunId}async handleLLMStart(e,t,n=void 0,a=void 0,o=void 0,u=void 0,d=void 0,c=void 0){return Promise.all(t.map(async(h,_)=>{const y=_===0&&n?n:hs();return await Promise.all(this.handlers.map(w=>{if(!w.ignoreLLM)return Jf(w)&&w._createRunForLLMStart(e,[h],y,this._parentRunId,o,this.tags,this.metadata,c),In(async()=>{var M;try{await((M=w.handleLLMStart)==null?void 0:M.call(w,e,[h],y,this._parentRunId,o,this.tags,this.metadata,c))}catch(S){if((w.raiseError?console.error:console.warn)(`Error in handler ${w.constructor.name}, handleLLMStart: ${S}`),w.raiseError)throw S}},w.awaitHandlers)})),new z1(y,this.handlers,this.inheritableHandlers,this.tags,this.inheritableTags,this.metadata,this.inheritableMetadata,this._parentRunId)}))}async handleChatModelStart(e,t,n=void 0,a=void 0,o=void 0,u=void 0,d=void 0,c=void 0){return Promise.all(t.map(async(h,_)=>{const y=_===0&&n?n:hs();return await Promise.all(this.handlers.map(w=>{if(!w.ignoreLLM)return Jf(w)&&w._createRunForChatModelStart(e,[h],y,this._parentRunId,o,this.tags,this.metadata,c),In(async()=>{var M,S;try{if(w.handleChatModelStart)await((M=w.handleChatModelStart)==null?void 0:M.call(w,e,[h],y,this._parentRunId,o,this.tags,this.metadata,c));else if(w.handleLLMStart){const G=yk(h);await((S=w.handleLLMStart)==null?void 0:S.call(w,e,[G],y,this._parentRunId,o,this.tags,this.metadata,c))}}catch(G){if((w.raiseError?console.error:console.warn)(`Error in handler ${w.constructor.name}, handleLLMStart: ${G}`),w.raiseError)throw G}},w.awaitHandlers)})),new z1(y,this.handlers,this.inheritableHandlers,this.tags,this.inheritableTags,this.metadata,this.inheritableMetadata,this._parentRunId)}))}async handleChainStart(e,t,n=hs(),a=void 0,o=void 0,u=void 0,d=void 0){return await Promise.all(this.handlers.map(c=>{if(!c.ignoreChain)return Jf(c)&&c._createRunForChainStart(e,t,n,this._parentRunId,this.tags,this.metadata,a,d),In(async()=>{var h;try{await((h=c.handleChainStart)==null?void 0:h.call(c,e,t,n,this._parentRunId,this.tags,this.metadata,a,d))}catch(_){if((c.raiseError?console.error:console.warn)(`Error in handler ${c.constructor.name}, handleChainStart: ${_}`),c.raiseError)throw _}},c.awaitHandlers)})),new Ak(n,this.handlers,this.inheritableHandlers,this.tags,this.inheritableTags,this.metadata,this.inheritableMetadata,this._parentRunId)}async handleToolStart(e,t,n=hs(),a=void 0,o=void 0,u=void 0,d=void 0){return await Promise.all(this.handlers.map(c=>{if(!c.ignoreAgent)return Jf(c)&&c._createRunForToolStart(e,t,n,this._parentRunId,this.tags,this.metadata,d),In(async()=>{var h;try{await((h=c.handleToolStart)==null?void 0:h.call(c,e,t,n,this._parentRunId,this.tags,this.metadata,d))}catch(_){if((c.raiseError?console.error:console.warn)(`Error in handler ${c.constructor.name}, handleToolStart: ${_}`),c.raiseError)throw _}},c.awaitHandlers)})),new kk(n,this.handlers,this.inheritableHandlers,this.tags,this.inheritableTags,this.metadata,this.inheritableMetadata,this._parentRunId)}async handleRetrieverStart(e,t,n=hs(),a=void 0,o=void 0,u=void 0,d=void 0){return await Promise.all(this.handlers.map(c=>{if(!c.ignoreRetriever)return Jf(c)&&c._createRunForRetrieverStart(e,t,n,this._parentRunId,this.tags,this.metadata,d),In(async()=>{var h;try{await((h=c.handleRetrieverStart)==null?void 0:h.call(c,e,t,n,this._parentRunId,this.tags,this.metadata,d))}catch(_){if((c.raiseError?console.error:console.warn)(`Error in handler ${c.constructor.name}, handleRetrieverStart: ${_}`),c.raiseError)throw _}},c.awaitHandlers)})),new Sk(n,this.handlers,this.inheritableHandlers,this.tags,this.inheritableTags,this.metadata,this.inheritableMetadata,this._parentRunId)}async handleCustomEvent(e,t,n,a,o){await Promise.all(this.handlers.map(u=>In(async()=>{var d;if(!u.ignoreCustomEvent)try{await((d=u.handleCustomEvent)==null?void 0:d.call(u,e,t,n,this.tags,this.metadata))}catch(c){if((u.raiseError?console.error:console.warn)(`Error in handler ${u.constructor.name}, handleCustomEvent: ${c}`),u.raiseError)throw c}},u.awaitHandlers)))}addHandler(e,t=!0){this.handlers.push(e),t&&this.inheritableHandlers.push(e)}removeHandler(e){this.handlers=this.handlers.filter(t=>t!==e),this.inheritableHandlers=this.inheritableHandlers.filter(t=>t!==e)}setHandlers(e,t=!0){this.handlers=[],this.inheritableHandlers=[];for(const n of e)this.addHandler(n,t)}addTags(e,t=!0){this.removeTags(e),this.tags.push(...e),t&&this.inheritableTags.push(...e)}removeTags(e){this.tags=this.tags.filter(t=>!e.includes(t)),this.inheritableTags=this.inheritableTags.filter(t=>!e.includes(t))}addMetadata(e,t=!0){this.metadata={...this.metadata,...e},t&&(this.inheritableMetadata={...this.inheritableMetadata,...e})}removeMetadata(e){for(const t of Object.keys(e))delete this.metadata[t],delete this.inheritableMetadata[t]}copy(e=[],t=!0){const n=new Ys(this._parentRunId);for(const a of this.handlers){const o=this.inheritableHandlers.includes(a);n.addHandler(a,o)}for(const a of this.tags){const o=this.inheritableTags.includes(a);n.addTags([a],o)}for(const a of Object.keys(this.metadata)){const o=Object.keys(this.inheritableMetadata).includes(a);n.addMetadata({[a]:this.metadata[a]},o)}for(const a of e)n.handlers.filter(o=>o.name==="console_callback_handler").some(o=>o.name===a.name)||n.addHandler(a,t);return n}static fromHandlers(e){class t extends Fp{constructor(){super(),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:hs()}),Object.assign(this,e)}}const n=new this;return n.addHandler(new t),n}static configure(e,t,n,a,o,u,d){return this._configureSync(e,t,n,a,o,u,d)}static _configureSync(e,t,n,a,o,u,d){var w,M;let c;(e||t)&&(Array.isArray(e)||!e?(c=new Ys,c.setHandlers((e==null?void 0:e.map(w_))??[],!0)):c=e,c=c.copy(Array.isArray(t)?t.map(w_):t==null?void 0:t.handlers,!1));const h=xi("LANGCHAIN_VERBOSE")==="true"||(d==null?void 0:d.verbose),_=((w=up.getTraceableRunTree())==null?void 0:w.tracingEnabled)||xk(),y=_||(xi("LANGCHAIN_TRACING")??!1);if(h||y){if(c||(c=new Ys),h&&!c.handlers.some(S=>S.name===j1.prototype.name)){const S=new j1;c.addHandler(S,!0)}if(y&&!c.handlers.some(S=>S.name==="langchain_tracer")&&_){const S=new up;c.addHandler(S,!0),c._parentRunId=((M=up.getTraceableRunTree())==null?void 0:M.id)??c._parentRunId}}for(const{contextVar:S,inheritable:G=!0,handlerClass:H,envVar:B}of Pk()){const z=B&&xi(B)==="true"&&H;let U;const F=S!==void 0?Sv(S):void 0;F&&uk(F)?U=F:z&&(U=new H({})),U!==void 0&&(c||(c=new Ys),c.handlers.some(I=>I.name===U.name)||c.addHandler(U,G))}return(n||a)&&c&&(c.addTags(n??[]),c.addTags(a??[],!1)),(o||u)&&c&&(c.addMetadata(o??{}),c.addMetadata(u??{},!1)),c}}function w_(r){return"name"in r?r:Fp.fromMethods(r)}class Ik{getStore(){}run(e,t){return t()}enterWith(e){}}const $k=new Ik,U1=Symbol.for("lc:child_config");class Ok{getInstance(){return Ap()??$k}getRunnableConfig(){var t,n;return(n=(t=this.getInstance().getStore())==null?void 0:t.extra)==null?void 0:n[U1]}runWithConfig(e,t,n){var _;const a=Ys._configureSync(e==null?void 0:e.callbacks,void 0,e==null?void 0:e.tags,void 0,e==null?void 0:e.metadata),o=this.getInstance(),u=o.getStore(),d=a==null?void 0:a.getParentRunId(),c=(_=a==null?void 0:a.handlers)==null?void 0:_.find(y=>(y==null?void 0:y.name)==="langchain_tracer");let h;return c&&d?h=c.convertToRunTree(d):n||(h=new ys({name:"<runnable_lambda>",tracingEnabled:!1})),h&&(h.extra={...h.extra,[U1]:e}),u!==void 0&&u[Ym]!==void 0&&(h[Ym]=u[Ym]),o.run(h,t)}initializeGlobalInstance(e){Ap()===void 0&&vk(e)}}const Ai=new Ok,Xg=25;async function Js(r){return Ys._configureSync(r==null?void 0:r.callbacks,void 0,r==null?void 0:r.tags,void 0,r==null?void 0:r.metadata)}function V1(...r){const e={};for(const t of r.filter(n=>!!n))for(const n of Object.keys(t))if(n==="metadata")e[n]={...e[n],...t[n]};else if(n==="tags"){const a=e[n]??[];e[n]=[...new Set(a.concat(t[n]??[]))]}else if(n==="configurable")e[n]={...e[n],...t[n]};else if(n==="timeout")e.timeout===void 0?e.timeout=t.timeout:t.timeout!==void 0&&(e.timeout=Math.min(e.timeout,t.timeout));else if(n==="signal")e.signal===void 0?e.signal=t.signal:t.signal!==void 0&&("any"in AbortSignal?e.signal=AbortSignal.any([e.signal,t.signal]):e.signal=t.signal);else if(n==="callbacks"){const a=e.callbacks,o=t.callbacks;if(Array.isArray(o))if(!a)e.callbacks=o;else if(Array.isArray(a))e.callbacks=a.concat(o);else{const u=a.copy();for(const d of o)u.addHandler(w_(d),!0);e.callbacks=u}else if(o)if(!a)e.callbacks=o;else if(Array.isArray(a)){const u=o.copy();for(const d of a)u.addHandler(w_(d),!0);e.callbacks=u}else e.callbacks=new Ys(o._parentRunId,{handlers:a.handlers.concat(o.handlers),inheritableHandlers:a.inheritableHandlers.concat(o.inheritableHandlers),tags:Array.from(new Set(a.tags.concat(o.tags))),inheritableTags:Array.from(new Set(a.inheritableTags.concat(o.inheritableTags))),metadata:{...a.metadata,...o.metadata}})}else{const a=n;e[a]=t[a]??e[a]}return e}const Lk=new Set(["string","number","boolean"]);function qr(r){var n;const e=Ai.getRunnableConfig();let t={tags:[],metadata:{},recursionLimit:25,runId:void 0};if(e){const{runId:a,runName:o,...u}=e;t=Object.entries(u).reduce((d,[c,h])=>(h!==void 0&&(d[c]=h),d),t)}if(r&&(t=Object.entries(r).reduce((a,[o,u])=>(u!==void 0&&(a[o]=u),a),t)),t!=null&&t.configurable)for(const a of Object.keys(t.configurable))Lk.has(typeof t.configurable[a])&&!((n=t.metadata)!=null&&n[a])&&(t.metadata||(t.metadata={}),t.metadata[a]=t.configurable[a]);if(t.timeout!==void 0){if(t.timeout<=0)throw new Error("Timeout must be a positive number");const a=AbortSignal.timeout(t.timeout);t.signal!==void 0?"any"in AbortSignal&&(t.signal=AbortSignal.any([t.signal,a])):t.signal=a,delete t.timeout}return t}function Gn(r={},{callbacks:e,maxConcurrency:t,recursionLimit:n,runName:a,configurable:o,runId:u}={}){const d=qr(r);return e!==void 0&&(delete d.runName,d.callbacks=e),n!==void 0&&(d.recursionLimit=n),t!==void 0&&(d.maxConcurrency=t),a!==void 0&&(d.runName=a),o!==void 0&&(d.configurable={...d.configurable,...o}),u!==void 0&&delete d.runId,d}function Dl(r){return r?{configurable:r.configurable,recursionLimit:r.recursionLimit,callbacks:r.callbacks,tags:r.tags,metadata:r.metadata,maxConcurrency:r.maxConcurrency,timeout:r.timeout,signal:r.signal}:void 0}async function ki(r,e){if(e===void 0)return r;let t;return Promise.race([r.catch(n=>{if(!(e!=null&&e.aborted))throw n}),new Promise((n,a)=>{t=()=>{a(new Error("Aborted"))},e.addEventListener("abort",t),e.aborted&&a(new Error("Aborted"))})]).finally(()=>e.removeEventListener("abort",t))}class vs extends ReadableStream{constructor(){super(...arguments),Object.defineProperty(this,"reader",{enumerable:!0,configurable:!0,writable:!0,value:void 0})}ensureReader(){this.reader||(this.reader=this.getReader())}async next(){this.ensureReader();try{const e=await this.reader.read();return e.done?(this.reader.releaseLock(),{done:!0,value:void 0}):{done:!1,value:e.value}}catch(e){throw this.reader.releaseLock(),e}}async return(){if(this.ensureReader(),this.locked){const e=this.reader.cancel();this.reader.releaseLock(),await e}return{done:!0,value:void 0}}async throw(e){if(this.ensureReader(),this.locked){const t=this.reader.cancel();this.reader.releaseLock(),await t}throw e}[Symbol.asyncIterator](){return this}async[Symbol.asyncDispose](){await this.return()}static fromReadableStream(e){const t=e.getReader();return new vs({start(n){return a();function a(){return t.read().then(({done:o,value:u})=>{if(o){n.close();return}return n.enqueue(u),a()})}},cancel(){t.releaseLock()}})}static fromAsyncGenerator(e){return new vs({async pull(t){const{value:n,done:a}=await e.next();a&&t.close(),t.enqueue(n)},async cancel(t){await e.return(t)}})}}function Av(r,e=2){const t=Array.from({length:e},()=>[]);return t.map(async function*(a){for(;;)if(a.length===0){const o=await r.next();for(const u of t)u.push(o)}else{if(a[0].done)return;yield a.shift().value}})}function Wa(r,e){if(Array.isArray(r)&&Array.isArray(e))return r.concat(e);if(typeof r=="string"&&typeof e=="string")return r+e;if(typeof r=="number"&&typeof e=="number")return r+e;if("concat"in r&&typeof r.concat=="function")return r.concat(e);if(typeof r=="object"&&typeof e=="object"){const t={...r};for(const[n,a]of Object.entries(e))n in t&&!Array.isArray(t[n])?t[n]=Wa(t[n],a):t[n]=a;return t}else throw new Error(`Cannot concat ${typeof r} and ${typeof e}`)}class Gl{constructor(e){var t;Object.defineProperty(this,"generator",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"setup",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"config",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"signal",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"firstResult",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"firstResultUsed",{enumerable:!0,configurable:!0,writable:!0,value:!1}),this.generator=e.generator,this.config=e.config,this.signal=e.signal??((t=this.config)==null?void 0:t.signal),this.setup=new Promise((n,a)=>{Ai.runWithConfig(Dl(e.config),async()=>{this.firstResult=e.generator.next(),e.startSetup?this.firstResult.then(e.startSetup).then(n,a):this.firstResult.then(o=>n(void 0),a)},!0)})}async next(...e){var t;return(t=this.signal)==null||t.throwIfAborted(),this.firstResultUsed?Ai.runWithConfig(Dl(this.config),this.signal?async()=>ki(this.generator.next(...e),this.signal):async()=>this.generator.next(...e),!0):(this.firstResultUsed=!0,this.firstResult)}async return(e){return this.generator.return(e)}async throw(e){return this.generator.throw(e)}[Symbol.asyncIterator](){return this}async[Symbol.asyncDispose](){await this.return()}}async function Rk(r,e,t,n,...a){const o=new Gl({generator:e,startSetup:t,signal:n}),u=await o.setup;return{output:r(o,u,...a),setup:u}}class wi{constructor(e){Object.defineProperty(this,"ops",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.ops=e.ops??[]}concat(e){const t=this.ops.concat(e.ops),n=g_({},t);return new kp({ops:t,state:n[n.length-1].newDocument})}}class kp extends wi{constructor(e){super(e),Object.defineProperty(this,"state",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.state=e.state}concat(e){const t=this.ops.concat(e.ops),n=g_(this.state,e.ops);return new kp({ops:t,state:n[n.length-1].newDocument})}static fromRunLogPatch(e){const t=g_({},e.ops);return new kp({ops:e.ops,state:t[t.length-1].newDocument})}}const Fk=r=>r.name==="log_stream_tracer";async function W1(r,e){if(e==="original")throw new Error("Do not assign inputs with original schema drop the key for now. When inputs are added to streamLog they should be added with standardized schema for streaming events.");const{inputs:t}=r;if(["retriever","llm","prompt"].includes(r.run_type))return t;if(!(Object.keys(t).length===1&&(t==null?void 0:t.input)===""))return t.input}async function G1(r,e){const{outputs:t}=r;return e==="original"||["retriever","llm","prompt"].includes(r.run_type)?t:t!==void 0&&Object.keys(t).length===1&&(t==null?void 0:t.output)!==void 0?t.output:t}function Nk(r){return r!==void 0&&r.message!==void 0}class H1 extends Np{constructor(e){super({_awaitHandler:!0,...e}),Object.defineProperty(this,"autoClose",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"includeNames",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"includeTypes",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"includeTags",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"excludeNames",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"excludeTypes",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"excludeTags",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"_schemaFormat",{enumerable:!0,configurable:!0,writable:!0,value:"original"}),Object.defineProperty(this,"rootId",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"keyMapByRunId",{enumerable:!0,configurable:!0,writable:!0,value:{}}),Object.defineProperty(this,"counterMapByRunName",{enumerable:!0,configurable:!0,writable:!0,value:{}}),Object.defineProperty(this,"transformStream",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"writer",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"receiveStream",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:"log_stream_tracer"}),Object.defineProperty(this,"lc_prefer_streaming",{enumerable:!0,configurable:!0,writable:!0,value:!0}),this.autoClose=(e==null?void 0:e.autoClose)??!0,this.includeNames=e==null?void 0:e.includeNames,this.includeTypes=e==null?void 0:e.includeTypes,this.includeTags=e==null?void 0:e.includeTags,this.excludeNames=e==null?void 0:e.excludeNames,this.excludeTypes=e==null?void 0:e.excludeTypes,this.excludeTags=e==null?void 0:e.excludeTags,this._schemaFormat=(e==null?void 0:e._schemaFormat)??this._schemaFormat,this.transformStream=new TransformStream,this.writer=this.transformStream.writable.getWriter(),this.receiveStream=vs.fromReadableStream(this.transformStream.readable)}[Symbol.asyncIterator](){return this.receiveStream}async persistRun(e){}_includeRun(e){if(e.id===this.rootId)return!1;const t=e.tags??[];let n=this.includeNames===void 0&&this.includeTags===void 0&&this.includeTypes===void 0;return this.includeNames!==void 0&&(n=n||this.includeNames.includes(e.name)),this.includeTypes!==void 0&&(n=n||this.includeTypes.includes(e.run_type)),this.includeTags!==void 0&&(n=n||t.find(a=>{var o;return(o=this.includeTags)==null?void 0:o.includes(a)})!==void 0),this.excludeNames!==void 0&&(n=n&&!this.excludeNames.includes(e.name)),this.excludeTypes!==void 0&&(n=n&&!this.excludeTypes.includes(e.run_type)),this.excludeTags!==void 0&&(n=n&&t.every(a=>{var o;return!((o=this.excludeTags)!=null&&o.includes(a))})),n}async*tapOutputIterable(e,t){for await(const n of t){if(e!==this.rootId){const a=this.keyMapByRunId[e];a&&await this.writer.write(new wi({ops:[{op:"add",path:`/logs/${a}/streamed_output/-`,value:n}]}))}yield n}}async onRunCreate(e){var a;if(this.rootId===void 0&&(this.rootId=e.id,await this.writer.write(new wi({ops:[{op:"replace",path:"",value:{id:e.id,name:e.name,type:e.run_type,streamed_output:[],final_output:void 0,logs:{}}}]}))),!this._includeRun(e))return;this.counterMapByRunName[e.name]===void 0&&(this.counterMapByRunName[e.name]=0),this.counterMapByRunName[e.name]+=1;const t=this.counterMapByRunName[e.name];this.keyMapByRunId[e.id]=t===1?e.name:`${e.name}:${t}`;const n={id:e.id,name:e.name,type:e.run_type,tags:e.tags??[],metadata:((a=e.extra)==null?void 0:a.metadata)??{},start_time:new Date(e.start_time).toISOString(),streamed_output:[],streamed_output_str:[],final_output:void 0,end_time:void 0};this._schemaFormat==="streaming_events"&&(n.inputs=await W1(e,this._schemaFormat)),await this.writer.write(new wi({ops:[{op:"add",path:`/logs/${this.keyMapByRunId[e.id]}`,value:n}]}))}async onRunUpdate(e){try{const t=this.keyMapByRunId[e.id];if(t===void 0)return;const n=[];this._schemaFormat==="streaming_events"&&n.push({op:"replace",path:`/logs/${t}/inputs`,value:await W1(e,this._schemaFormat)}),n.push({op:"add",path:`/logs/${t}/final_output`,value:await G1(e,this._schemaFormat)}),e.end_time!==void 0&&n.push({op:"add",path:`/logs/${t}/end_time`,value:new Date(e.end_time).toISOString()});const a=new wi({ops:n});await this.writer.write(a)}finally{if(e.id===this.rootId){const t=new wi({ops:[{op:"replace",path:"/final_output",value:await G1(e,this._schemaFormat)}]});await this.writer.write(t),this.autoClose&&await this.writer.close()}}}async onLLMNewToken(e,t,n){const a=this.keyMapByRunId[e.id];if(a===void 0)return;const o=e.inputs.messages!==void 0;let u;o?Nk(n==null?void 0:n.chunk)?u=n==null?void 0:n.chunk:u=new B_({id:`run-${e.id}`,content:t}):u=t;const d=new wi({ops:[{op:"add",path:`/logs/${a}/streamed_output_str/-`,value:t},{op:"add",path:`/logs/${a}/streamed_output/-`,value:u}]});await this.writer.write(d)}}class v_{constructor(e){Object.defineProperty(this,"text",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"generationInfo",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.text=e.text,this.generationInfo=e.generationInfo}concat(e){return new v_({text:this.text+e.text,generationInfo:{...this.generationInfo,...e.generationInfo}})}}function Km({name:r,serialized:e}){return r!==void 0?r:(e==null?void 0:e.name)!==void 0?e.name:(e==null?void 0:e.id)!==void 0&&Array.isArray(e==null?void 0:e.id)?e.id[e.id.length-1]:"Unnamed"}const Dk=r=>r.name==="event_stream_tracer";class Bk extends Np{constructor(e){super({_awaitHandler:!0,...e}),Object.defineProperty(this,"autoClose",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"includeNames",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"includeTypes",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"includeTags",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"excludeNames",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"excludeTypes",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"excludeTags",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"runInfoMap",{enumerable:!0,configurable:!0,writable:!0,value:new Map}),Object.defineProperty(this,"tappedPromises",{enumerable:!0,configurable:!0,writable:!0,value:new Map}),Object.defineProperty(this,"transformStream",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"writer",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"receiveStream",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:"event_stream_tracer"}),Object.defineProperty(this,"lc_prefer_streaming",{enumerable:!0,configurable:!0,writable:!0,value:!0}),this.autoClose=(e==null?void 0:e.autoClose)??!0,this.includeNames=e==null?void 0:e.includeNames,this.includeTypes=e==null?void 0:e.includeTypes,this.includeTags=e==null?void 0:e.includeTags,this.excludeNames=e==null?void 0:e.excludeNames,this.excludeTypes=e==null?void 0:e.excludeTypes,this.excludeTags=e==null?void 0:e.excludeTags,this.transformStream=new TransformStream,this.writer=this.transformStream.writable.getWriter(),this.receiveStream=vs.fromReadableStream(this.transformStream.readable)}[Symbol.asyncIterator](){return this.receiveStream}async persistRun(e){}_includeRun(e){const t=e.tags??[];let n=this.includeNames===void 0&&this.includeTags===void 0&&this.includeTypes===void 0;return this.includeNames!==void 0&&(n=n||this.includeNames.includes(e.name)),this.includeTypes!==void 0&&(n=n||this.includeTypes.includes(e.runType)),this.includeTags!==void 0&&(n=n||t.find(a=>{var o;return(o=this.includeTags)==null?void 0:o.includes(a)})!==void 0),this.excludeNames!==void 0&&(n=n&&!this.excludeNames.includes(e.name)),this.excludeTypes!==void 0&&(n=n&&!this.excludeTypes.includes(e.runType)),this.excludeTags!==void 0&&(n=n&&t.every(a=>{var o;return!((o=this.excludeTags)!=null&&o.includes(a))})),n}async*tapOutputIterable(e,t){const n=await t.next();if(n.done)return;const a=this.runInfoMap.get(e);if(a===void 0){yield n.value;return}function o(d,c){return d==="llm"&&typeof c=="string"?new v_({text:c}):c}let u=this.tappedPromises.get(e);if(u===void 0){let d;u=new Promise(c=>{d=c}),this.tappedPromises.set(e,u);try{const c={event:`on_${a.runType}_stream`,run_id:e,name:a.name,tags:a.tags,metadata:a.metadata,data:{}};await this.send({...c,data:{chunk:o(a.runType,n.value)}},a),yield n.value;for await(const h of t)a.runType!=="tool"&&a.runType!=="retriever"&&await this.send({...c,data:{chunk:o(a.runType,h)}},a),yield h}finally{d()}}else{yield n.value;for await(const d of t)yield d}}async send(e,t){this._includeRun(t)&&await this.writer.write(e)}async sendEndEvent(e,t){const n=this.tappedPromises.get(e.run_id);n!==void 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this.send({event:u,data:{chunk:o},run_id:e.id,name:a.name,tags:a.tags,metadata:a.metadata},a)}}async onLLMEnd(e){var u,d,c;const t=this.runInfoMap.get(e.id);this.runInfoMap.delete(e.id);let n;if(t===void 0)throw new Error(`onLLMEnd: Run ID ${e.id} not found in run map.`);const a=(u=e.outputs)==null?void 0:u.generations;let o;if(t.runType==="chat_model"){for(const h of a??[]){if(o!==void 0)break;o=(d=h[0])==null?void 0:d.message}n="on_chat_model_end"}else if(t.runType==="llm")o={generations:a==null?void 0:a.map(h=>h.map(_=>({text:_.text,generationInfo:_.generationInfo}))),llmOutput:((c=e.outputs)==null?void 0:c.llmOutput)??{}},n="on_llm_end";else throw new Error(`onLLMEnd: Unexpected run type: ${t.runType}`);await this.sendEndEvent({event:n,data:{output:o,input:t.inputs},run_id:e.id,name:t.name,tags:t.tags,metadata:t.metadata},t)}async onChainStart(e){var u,d;const t=Km(e),n=e.run_type??"chain",a={tags:e.tags??[],metadata:((u=e.extra)==null?void 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Lv(r,e){const t={type:"string"};if(r.checks)for(const n of r.checks)switch(n.kind){case"min":Hr(t,"minLength",typeof t.minLength=="number"?Math.max(t.minLength,n.value):n.value,n.message,e);break;case"max":Hr(t,"maxLength",typeof 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t&&{anyOf:[t,{type:"null"}]}}function fI(r,e){const t={type:"number"};if(!r.checks)return t;for(const n of r.checks)switch(n.kind){case"int":t.type="integer",Iv(t,"type",n.message,e);break;case"min":e.target==="jsonSchema7"?n.inclusive?Hr(t,"minimum",n.value,n.message,e):Hr(t,"exclusiveMinimum",n.value,n.message,e):(n.inclusive||(t.exclusiveMinimum=!0),Hr(t,"minimum",n.value,n.message,e));break;case"max":e.target==="jsonSchema7"?n.inclusive?Hr(t,"maximum",n.value,n.message,e):Hr(t,"exclusiveMaximum",n.value,n.message,e):(n.inclusive||(t.exclusiveMaximum=!0),Hr(t,"maximum",n.value,n.message,e));break;case"multipleOf":Hr(t,"multipleOf",n.value,n.message,e);break}return t}function pI(r,e){return e.removeAdditionalStrategy==="strict"?r.catchall._def.typeName==="ZodNever"?r.unknownKeys!=="strict":zr(r.catchall._def,{...e,currentPath:[...e.currentPath,"additionalProperties"]})??!0:r.catchall._def.typeName==="ZodNever"?r.unknownKeys==="passthrough":zr(r.catchall._def,{...e,currentPath:[...e.currentPath,"additionalProperties"]})??!0}function mI(r,e){const t=e.target==="openAi",n={type:"object",...Object.entries(r.shape()).reduce((a,[o,u])=>{if(u===void 0||u._def===void 0)return a;let d=u.isOptional();d&&t&&(u instanceof Qs&&(u=u._def.innerType),u.isNullable()||(u=u.nullable()),d=!1);const c=zr(u._def,{...e,currentPath:[...e.currentPath,"properties",o],propertyPath:[...e.currentPath,"properties",o]});return c===void 0?a:{properties:{...a.properties,[o]:c},required:d?a.required:[...a.required,o]}},{properties:{},required:[]}),additionalProperties:pI(r,e)};return n.required.length||delete n.required,n}const _I=(r,e)=>{var n;if(e.currentPath.toString()===((n=e.propertyPath)==null?void 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${e.currentPath.join("/")}! 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Try wrapping it in an object property."),d};function e0(r){return r.replace(/[^a-zA-Z-_0-9]/g,"_")}const AI=["*","_","`"];function kI(r){let e="";for(const[t,n]of Object.entries(r))e+=`	classDef ${t} ${n};
`;return e}function II(r,e,t){const{firstNode:n,lastNode:a,nodeColors:o,withStyles:u=!0,curveStyle:d="linear",wrapLabelNWords:c=9}=t??{};let h=u?`%%{init: {'flowchart': {'curve': '${d}'}}}%%
graph TD;
`:`graph TD;
`;if(u){const M="default",S={[M]:"{0}({1})"};n!==void 0&&(S[n]="{0}([{1}]):::first"),a!==void 0&&(S[a]="{0}([{1}]):::last");for(const[G,H]of Object.entries(r)){const B=H.name.split(":").pop()??"";let U=AI.some(I=>B.startsWith(I)&&B.endsWith(I))?`<p>${B}</p>`:B;Object.keys(H.metadata??{}).length&&(U+=`<hr/><small><em>${Object.entries(H.metadata??{}).map(([I,k])=>`${I} = ${k}`).join(`
`)}</em></small>`);const F=(S[G]??S[M]).replace("{0}",e0(G)).replace("{1}",U);h+=`	${F}
`}}const _={};for(const M of e){const S=M.source.split(":"),G=M.target.split(":"),H=S.filter((B,z)=>B===G[z]).join(":");_[H]||(_[H]=[]),_[H].push(M)}const y=new Set;function w(M,S){const G=M.length===1&&M[0].source===M[0].target;if(S&&!G){const H=S.split(":").pop();if(y.has(H))throw new Error(`Found duplicate subgraph '${H}' -- this likely means that you're reusing a subgraph node with the same name. Please adjust your graph to have subgraph nodes with unique names.`);y.add(H),h+=`	subgraph ${H}
`}for(const H of M){const{source:B,target:z,data:U,conditional:F}=H;let I="";if(U!==void 0){let k=U;const $=k.split(" ");$.length>c&&(k=Array.from({length:Math.ceil($.length/c)},(j,ce)=>$.slice(ce*c,(ce+1)*c).join(" ")).join("&nbsp;<br>&nbsp;")),I=F?` -. &nbsp;${k}&nbsp; .-> `:` -- &nbsp;${k}&nbsp; --> `}else I=F?" -.-> ":" --> ";h+=`	${e0(B)}${I}${e0(z)};
`}for(const H in _)H.startsWith(`${S}:`)&&H!==S&&w(_[H],H);S&&!G&&(h+=`	end
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t=this.name??this.constructor.lc_name()??this.constructor.name;return e?`${t}${e}`:t}bind(e){return new vo({bound:this,kwargs:e,config:{}})}map(){return new T_({bound:this})}withRetry(e){return new NI({bound:this,kwargs:{},config:{},maxAttemptNumber:e==null?void 0:e.stopAfterAttempt,...e})}withConfig(e){return new vo({bound:this,config:e,kwargs:{}})}withFallbacks(e){const t=Array.isArray(e)?e:e.fallbacks;return new BI({runnable:this,fallbacks:t})}_getOptionsList(e,t=0){if(Array.isArray(e)&&e.length!==t)throw new Error(`Passed "options" must be an array with the same length as the inputs, but got ${e.length} options for ${t} inputs`);if(Array.isArray(e))return e.map(qr);if(t>1&&!Array.isArray(e)&&e.runId){console.warn("Provided runId will be used only for the first element of the batch.");const n=Object.fromEntries(Object.entries(e).filter(([a])=>a!=="runId"));return Array.from({length:t},(a,o)=>qr(o===0?e:n))}return Array.from({length:t},()=>qr(e))}async batch(e,t,n){var c;const a=this._getOptionsList(t??{},e.length),o=((c=a[0])==null?void 0:c.maxConcurrency)??(n==null?void 0:n.maxConcurrency),u=new Uk({maxConcurrency:o,onFailedAttempt:h=>{throw h}}),d=e.map((h,_)=>u.call(async()=>{try{return await this.invoke(h,a[_])}catch(y){if(n!=null&&n.returnExceptions)return y;throw y}}));return Promise.all(d)}async*_streamIterator(e,t){yield this.invoke(e,t)}async stream(e,t){const n=qr(t),a=new Gl({generator:this._streamIterator(e,n),config:n});return await a.setup,vs.fromAsyncGenerator(a)}_separateRunnableConfigFromCallOptions(e){let t;e===void 0?t=qr(e):t=qr({callbacks:e.callbacks,tags:e.tags,metadata:e.metadata,runName:e.runName,configurable:e.configurable,recursionLimit:e.recursionLimit,maxConcurrency:e.maxConcurrency,runId:e.runId,timeout:e.timeout,signal:e.signal});const n={...e};return delete n.callbacks,delete n.tags,delete n.metadata,delete n.runName,delete n.configurable,delete n.recursionLimit,delete n.maxConcurrency,delete n.runId,delete n.timeout,delete n.signal,[t,n]}async _callWithConfig(e,t,n){const a=qr(n),o=await Js(a),u=await(o==null?void 0:o.handleChainStart(this.toJSON(),Rn(t,"input"),a.runId,a==null?void 0:a.runType,void 0,void 0,(a==null?void 0:a.runName)??this.getName()));delete a.runId;let d;try{const c=e.call(this,t,a,u);d=await ki(c,n==null?void 0:n.signal)}catch(c){throw await(u==null?void 0:u.handleChainError(c)),c}return await(u==null?void 0:u.handleChainEnd(Rn(d,"output"))),d}async _batchWithConfig(e,t,n,a){var h;const o=this._getOptionsList(n??{},t.length),u=await Promise.all(o.map(Js)),d=await Promise.all(u.map(async(_,y)=>{const w=await(_==null?void 0:_.handleChainStart(this.toJSON(),Rn(t[y],"input"),o[y].runId,o[y].runType,void 0,void 0,o[y].runName??this.getName()));return delete o[y].runId,w}));let c;try{const _=e.call(this,t,o,d,a);c=await ki(_,(h=o==null?void 0:o[0])==null?void 0:h.signal)}catch(_){throw await Promise.all(d.map(y=>y==null?void 0:y.handleChainError(_))),_}return await Promise.all(d.map(_=>_==null?void 0:_.handleChainEnd(Rn(c,"output")))),c}async*_transformStreamWithConfig(e,t,n){let a,o=!0,u,d=!0;const c=qr(n),h=await Js(c);async function*_(){for await(const w of e){if(o)if(a===void 0)a=w;else try{a=Wa(a,w)}catch{a=void 0,o=!1}yield w}}let y;try{const w=await Rk(t.bind(this),_(),async()=>h==null?void 0:h.handleChainStart(this.toJSON(),{input:""},c.runId,c.runType,void 0,void 0,c.runName??this.getName()),n==null?void 0:n.signal,c);delete c.runId,y=w.setup;const M=y==null?void 0:y.handlers.find(Dk);let S=w.output;M!==void 0&&y!==void 0&&(S=M.tapOutputIterable(y.runId,S));const G=y==null?void 0:y.handlers.find(Fk);G!==void 0&&y!==void 0&&(S=G.tapOutputIterable(y.runId,S));for await(const H of S)if(yield H,d)if(u===void 0)u=H;else try{u=Wa(u,H)}catch{u=void 0,d=!1}}catch(w){throw await(y==null?void 0:y.handleChainError(w,void 0,void 0,void 0,{inputs:Rn(a,"input")})),w}await(y==null?void 0:y.handleChainEnd(u??{},void 0,void 0,void 0,{inputs:Rn(a,"input")}))}getGraph(e){const t=new z_,n=t.addNode({name:`${this.getName()}Input`,schema:sp.any()}),a=t.addNode(this),o=t.addNode({name:`${this.getName()}Output`,schema:sp.any()});return t.addEdge(n,a),t.addEdge(a,o),t}pipe(e){return new bo({first:this,last:yo(e)})}pick(e){return this.pipe(new zI(e))}assign(e){return this.pipe(new jI(new Dp({steps:e})))}async*transform(e,t){let n;for await(const a of e)n===void 0?n=a:n=Wa(n,a);yield*this._streamIterator(n,qr(t))}async*streamLog(e,t,n){const a=new H1({...n,autoClose:!1,_schemaFormat:"original"}),o=qr(t);yield*this._streamLog(e,a,o)}async*_streamLog(e,t,n){const{callbacks:a}=n;if(a===void 0)n.callbacks=[t];else if(Array.isArray(a))n.callbacks=a.concat([t]);else{const c=a.copy();c.addHandler(t,!0),n.callbacks=c}const o=this.stream(e,n);async function u(){try{const c=await o;for await(const h of c){const _=new wi({ops:[{op:"add",path:"/streamed_output/-",value:h}]});await t.writer.write(_)}}finally{await t.writer.close()}}const d=u();try{for await(const c of t)yield c}finally{await d}}streamEvents(e,t,n){let a;if(t.version==="v1")a=this._streamEventsV1(e,t,n);else if(t.version==="v2")a=this._streamEventsV2(e,t,n);else throw new Error('Only versions "v1" and "v2" of the schema are currently supported.');return t.encoding==="text/event-stream"?RI(a):vs.fromAsyncGenerator(a)}async*_streamEventsV2(e,t,n){var M;const a=new Bk({...n,autoClose:!1}),o=qr(t),u=o.runId??hs();o.runId=u;const d=o.callbacks;if(d===void 0)o.callbacks=[a];else if(Array.isArray(d))o.callbacks=d.concat(a);else{const S=d.copy();S.addHandler(a,!0),o.callbacks=S}const c=this;async function h(){try{const S=await c.stream(e,o),G=a.tapOutputIterable(u,S);for await(const H of G);}finally{await a.finish()}}const _=h();let y=!1,w;try{for await(const S of a){if(!y){S.data.input=e,y=!0,w=S.run_id,yield S;continue}S.run_id===w&&S.event.endsWith("_end")&&(M=S.data)!=null&&M.input&&delete S.data.input,yield S}}finally{await _}}async*_streamEventsV1(e,t,n){let a,o=!1;const u=qr(t),d=u.tags??[],c=u.metadata??{},h=u.runName??this.getName(),_=new H1({...n,autoClose:!1,_schemaFormat:"streaming_events"}),y=new Vk({...n}),w=this._streamLog(e,_,u);for await(const S of w){if(a?a=a.concat(S):a=kp.fromRunLogPatch(S),a.state===void 0)throw new Error('Internal error: "streamEvents" state is missing. Please open a bug report.');if(!o){o=!0;const z={...a.state},U={run_id:z.id,event:`on_${z.type}_start`,name:h,tags:d,metadata:c,data:{input:e}};y.includeEvent(U,z.type)&&(yield U)}const G=S.ops.filter(z=>z.path.startsWith("/logs/")).map(z=>z.path.split("/")[2]),H=[...new Set(G)];for(const z of H){let U,F={};const I=a.state.logs[z];if(I.end_time===void 0?I.streamed_output.length>0?U="stream":U="start":U="end",U==="start")I.inputs!==void 0&&(F.input=I.inputs);else if(U==="end")I.inputs!==void 0&&(F.input=I.inputs),F.output=I.final_output;else if(U==="stream"){const k=I.streamed_output.length;if(k!==1)throw new Error(`Expected exactly one chunk of streamed output, got ${k} instead. Encountered in: "${I.name}"`);F={chunk:I.streamed_output[0]},I.streamed_output=[]}yield{event:`on_${I.type}_${U}`,name:I.name,run_id:I.id,tags:I.tags,metadata:I.metadata,data:F}}const{state:B}=a;if(B.streamed_output.length>0){const z=B.streamed_output.length;if(z!==1)throw new Error(`Expected exactly one chunk of streamed output, got ${z} instead. Encountered in: "${B.name}"`);const U={chunk:B.streamed_output[0]};B.streamed_output=[];const F={event:`on_${B.type}_stream`,run_id:B.id,tags:d,metadata:c,name:h,data:U};y.includeEvent(F,B.type)&&(yield F)}}const M=a==null?void 0:a.state;if(M!==void 0){const S={event:`on_${M.type}_end`,name:h,run_id:M.id,tags:d,metadata:c,data:{output:M.final_output}};y.includeEvent(S,M.type)&&(yield S)}}static isRunnable(e){return tb(e)}withListeners({onStart:e,onEnd:t,onError:n}){return new vo({bound:this,config:{},configFactories:[a=>({callbacks:[new kv({config:a,onStart:e,onEnd:t,onError:n})]})]})}asTool(e){return UI(this,e)}}class vo extends Jn{static lc_name(){return"RunnableBinding"}constructor(e){super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"bound",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"config",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"kwargs",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"configFactories",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.bound=e.bound,this.kwargs=e.kwargs,this.config=e.config,this.configFactories=e.configFactories}getName(e){return this.bound.getName(e)}async _mergeConfig(...e){const t=V1(this.config,...e);return V1(t,...this.configFactories?await Promise.all(this.configFactories.map(async n=>await n(t))):[])}bind(e){return new this.constructor({bound:this.bound,kwargs:{...this.kwargs,...e},config:this.config})}withConfig(e){return new this.constructor({bound:this.bound,kwargs:this.kwargs,config:{...this.config,...e}})}withRetry(e){return new this.constructor({bound:this.bound.withRetry(e),kwargs:this.kwargs,config:this.config})}async invoke(e,t){return this.bound.invoke(e,await this._mergeConfig(qr(t),this.kwargs))}async batch(e,t,n){const a=Array.isArray(t)?await Promise.all(t.map(async o=>this._mergeConfig(qr(o),this.kwargs))):await this._mergeConfig(qr(t),this.kwargs);return this.bound.batch(e,a,n)}async*_streamIterator(e,t){yield*this.bound._streamIterator(e,await this._mergeConfig(qr(t),this.kwargs))}async stream(e,t){return this.bound.stream(e,await this._mergeConfig(qr(t),this.kwargs))}async*transform(e,t){yield*this.bound.transform(e,await this._mergeConfig(qr(t),this.kwargs))}streamEvents(e,t,n){const a=this,o=async function*(){yield*a.bound.streamEvents(e,{...await a._mergeConfig(qr(t),a.kwargs),version:t.version},n)};return vs.fromAsyncGenerator(o())}static isRunnableBinding(e){return e.bound&&Jn.isRunnable(e.bound)}withListeners({onStart:e,onEnd:t,onError:n}){return new vo({bound:this.bound,kwargs:this.kwargs,config:this.config,configFactories:[a=>({callbacks:[new kv({config:a,onStart:e,onEnd:t,onError:n})]})]})}}class T_ extends Jn{static lc_name(){return"RunnableEach"}constructor(e){super(e),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"bound",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.bound=e.bound}bind(e){return new T_({bound:this.bound.bind(e)})}async invoke(e,t){return this._callWithConfig(this._invoke.bind(this),e,t)}async _invoke(e,t,n){return this.bound.batch(e,Gn(t,{callbacks:n==null?void 0:n.getChild()}))}withListeners({onStart:e,onEnd:t,onError:n}){return new T_({bound:this.bound.withListeners({onStart:e,onEnd:t,onError:n})})}}class NI extends vo{static lc_name(){return"RunnableRetry"}constructor(e){super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"maxAttemptNumber",{enumerable:!0,configurable:!0,writable:!0,value:3}),Object.defineProperty(this,"onFailedAttempt",{enumerable:!0,configurable:!0,writable:!0,value:()=>{}}),this.maxAttemptNumber=e.maxAttemptNumber??this.maxAttemptNumber,this.onFailedAttempt=e.onFailedAttempt??this.onFailedAttempt}_patchConfigForRetry(e,t,n){const a=e>1?`retry:attempt:${e}`:void 0;return Gn(t,{callbacks:n==null?void 0:n.getChild(a)})}async _invoke(e,t,n){return p_(a=>super.invoke(e,this._patchConfigForRetry(a,t,n)),{onFailedAttempt:a=>this.onFailedAttempt(a,e),retries:Math.max(this.maxAttemptNumber-1,0),randomize:!0})}async invoke(e,t){return this._callWithConfig(this._invoke.bind(this),e,t)}async _batch(e,t,n,a){const o={};try{await p_(async u=>{const d=e.map((w,M)=>M).filter(w=>o[w.toString()]===void 0||o[w.toString()]instanceof Error),c=d.map(w=>e[w]),h=d.map(w=>this._patchConfigForRetry(u,t==null?void 0:t[w],n==null?void 0:n[w])),_=await super.batch(c,h,{...a,returnExceptions:!0});let y;for(let w=0;w<_.length;w+=1){const M=_[w],S=d[w];M instanceof Error&&y===void 0&&(y=M,y.input=c[w]),o[S.toString()]=M}if(y)throw y;return _},{onFailedAttempt:u=>this.onFailedAttempt(u,u.input),retries:Math.max(this.maxAttemptNumber-1,0),randomize:!0})}catch(u){if((a==null?void 0:a.returnExceptions)!==!0)throw u}return Object.keys(o).sort((u,d)=>parseInt(u,10)-parseInt(d,10)).map(u=>o[parseInt(u,10)])}async batch(e,t,n){return this._batchWithConfig(this._batch.bind(this),e,t,n)}}class bo extends Jn{static lc_name(){return"RunnableSequence"}constructor(e){super(e),Object.defineProperty(this,"first",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"middle",{enumerable:!0,configurable:!0,writable:!0,value:[]}),Object.defineProperty(this,"last",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"omitSequenceTags",{enumerable:!0,configurable:!0,writable:!0,value:!1}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),this.first=e.first,this.middle=e.middle??this.middle,this.last=e.last,this.name=e.name,this.omitSequenceTags=e.omitSequenceTags??this.omitSequenceTags}get steps(){return[this.first,...this.middle,this.last]}async invoke(e,t){var c;const n=qr(t),a=await Js(n),o=await(a==null?void 0:a.handleChainStart(this.toJSON(),Rn(e,"input"),n.runId,void 0,void 0,void 0,n==null?void 0:n.runName));delete n.runId;let u=e,d;try{const h=[this.first,...this.middle];for(let _=0;_<h.length;_+=1){const w=h[_].invoke(u,Gn(n,{callbacks:o==null?void 0:o.getChild(this.omitSequenceTags?void 0:`seq:step:${_+1}`)}));u=await ki(w,t==null?void 0:t.signal)}if((c=t==null?void 0:t.signal)!=null&&c.aborted)throw new Error("Aborted");d=await this.last.invoke(u,Gn(n,{callbacks:o==null?void 0:o.getChild(this.omitSequenceTags?void 0:`seq:step:${this.steps.length}`)}))}catch(h){throw await(o==null?void 0:o.handleChainError(h)),h}return await(o==null?void 0:o.handleChainEnd(Rn(d,"output"))),d}async batch(e,t,n){var c;const a=this._getOptionsList(t??{},e.length),o=await Promise.all(a.map(Js)),u=await Promise.all(o.map(async(h,_)=>{const y=await(h==null?void 0:h.handleChainStart(this.toJSON(),Rn(e[_],"input"),a[_].runId,void 0,void 0,void 0,a[_].runName));return delete a[_].runId,y}));let d=e;try{for(let h=0;h<this.steps.length;h+=1){const y=this.steps[h].batch(d,u.map((w,M)=>{const S=w==null?void 0:w.getChild(this.omitSequenceTags?void 0:`seq:step:${h+1}`);return Gn(a[M],{callbacks:S})}),n);d=await ki(y,(c=a[0])==null?void 0:c.signal)}}catch(h){throw await Promise.all(u.map(_=>_==null?void 0:_.handleChainError(h))),h}return await Promise.all(u.map(h=>h==null?void 0:h.handleChainEnd(Rn(d,"output")))),d}async*_streamIterator(e,t){var y;const n=await Js(t),{runId:a,...o}=t??{},u=await(n==null?void 0:n.handleChainStart(this.toJSON(),Rn(e,"input"),a,void 0,void 0,void 0,o==null?void 0:o.runName)),d=[this.first,...this.middle,this.last];let c=!0,h;async function*_(){yield e}try{let w=d[0].transform(_(),Gn(o,{callbacks:u==null?void 0:u.getChild(this.omitSequenceTags?void 0:"seq:step:1")}));for(let M=1;M<d.length;M+=1)w=await d[M].transform(w,Gn(o,{callbacks:u==null?void 0:u.getChild(this.omitSequenceTags?void 0:`seq:step:${M+1}`)}));for await(const M of w)if((y=t==null?void 0:t.signal)==null||y.throwIfAborted(),yield M,c)if(h===void 0)h=M;else try{h=Wa(h,M)}catch{h=void 0,c=!1}}catch(w){throw await(u==null?void 0:u.handleChainError(w)),w}await(u==null?void 0:u.handleChainEnd(Rn(h,"output")))}getGraph(e){const t=new z_;let n=null;return this.steps.forEach((a,o)=>{const u=a.getGraph(e);o!==0&&u.trimFirstNode(),o!==this.steps.length-1&&u.trimLastNode(),t.extend(u);const d=u.firstNode();if(!d)throw new Error(`Runnable ${a} has no first node`);n&&t.addEdge(n,d),n=u.lastNode()}),t}pipe(e){return bo.isRunnableSequence(e)?new bo({first:this.first,middle:this.middle.concat([this.last,e.first,...e.middle]),last:e.last,name:this.name??e.name}):new bo({first:this.first,middle:[...this.middle,this.last],last:yo(e),name:this.name})}static isRunnableSequence(e){return Array.isArray(e.middle)&&Jn.isRunnable(e)}static from([e,...t],n){let a={};return typeof n=="string"?a.name=n:n!==void 0&&(a=n),new bo({...a,first:yo(e),middle:t.slice(0,-1).map(yo),last:yo(t[t.length-1])})}}class Dp extends Jn{static lc_name(){return"RunnableMap"}getStepsKeys(){return Object.keys(this.steps)}constructor(e){super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"steps",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.steps={};for(const[t,n]of Object.entries(e.steps))this.steps[t]=yo(n)}static from(e){return new Dp({steps:e})}async invoke(e,t){const n=qr(t),a=await Js(n),o=await(a==null?void 0:a.handleChainStart(this.toJSON(),{input:e},n.runId,void 0,void 0,void 0,n==null?void 0:n.runName));delete n.runId;const u={};try{const d=Object.entries(this.steps).map(async([c,h])=>{u[c]=await h.invoke(e,Gn(n,{callbacks:o==null?void 0:o.getChild(`map:key:${c}`)}))});await ki(Promise.all(d),t==null?void 0:t.signal)}catch(d){throw await(o==null?void 0:o.handleChainError(d)),d}return await(o==null?void 0:o.handleChainEnd(u)),u}async*_transform(e,t,n){const a={...this.steps},o=Av(e,Object.keys(a).length),u=new Map(Object.entries(a).map(([d,c],h)=>{const _=c.transform(o[h],Gn(n,{callbacks:t==null?void 0:t.getChild(`map:key:${d}`)}));return[d,_.next().then(y=>({key:d,gen:_,result:y}))]}));for(;u.size;){const d=Promise.race(u.values()),{key:c,result:h,gen:_}=await ki(d,n==null?void 0:n.signal);u.delete(c),h.done||(yield{[c]:h.value},u.set(c,_.next().then(y=>({key:c,gen:_,result:y}))))}}transform(e,t){return this._transformStreamWithConfig(e,this._transform.bind(this),t)}async stream(e,t){async function*n(){yield e}const a=qr(t),o=new Gl({generator:this.transform(n(),a),config:a});return await o.setup,vs.fromAsyncGenerator(o)}}class rb extends Jn{constructor(e){if(super(e),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!1}),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"func",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),!X0(e.func))throw new Error("RunnableTraceable requires a function that is wrapped in traceable higher-order function");this.func=e.func}async invoke(e,t){const[n]=this._getOptionsList(t??{},1),a=await Js(n),o=this.func(Gn(n,{callbacks:a}),e);return ki(o,n==null?void 0:n.signal)}async*_streamIterator(e,t){var o,u;const[n]=this._getOptionsList(t??{},1),a=await this.invoke(e,t);if(w0(a)){for await(const d of a)(o=n==null?void 0:n.signal)==null||o.throwIfAborted(),yield d;return}if(FI(a)){for(;;){(u=n==null?void 0:n.signal)==null||u.throwIfAborted();const d=a.next();if(d.done)break;yield d.value}return}yield a}static from(e){return new rb({func:e})}}function DI(r){if(X0(r))throw new Error("RunnableLambda requires a function that is not wrapped in traceable higher-order function. This shouldn't happen.")}class U_ extends Jn{static lc_name(){return"RunnableLambda"}constructor(e){if(X0(e.func))return rb.from(e.func);super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"func",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),DI(e.func),this.func=e.func}static from(e){return new U_({func:e})}async _invoke(e,t,n){return new Promise((a,o)=>{const u=Gn(t,{callbacks:n==null?void 0:n.getChild(),recursionLimit:((t==null?void 0:t.recursionLimit)??Xg)-1});Ai.runWithConfig(Dl(u),async()=>{var d,c;try{let h=await this.func(e,{...u});if(h&&Jn.isRunnable(h)){if((t==null?void 0:t.recursionLimit)===0)throw new Error("Recursion limit reached.");h=await h.invoke(e,{...u,recursionLimit:(u.recursionLimit??Xg)-1})}else if(w0(h)){let _;for await(const y of v0(u,h))if((d=t==null?void 0:t.signal)==null||d.throwIfAborted(),_===void 0)_=y;else try{_=Wa(_,y)}catch{_=y}h=_}else if(Q1(h)){let _;for(const y of J1(u,h))if((c=t==null?void 0:t.signal)==null||c.throwIfAborted(),_===void 0)_=y;else try{_=Wa(_,y)}catch{_=y}h=_}a(h)}catch(h){o(h)}})})}async invoke(e,t){return this._callWithConfig(this._invoke.bind(this),e,t)}async*_transform(e,t,n){var d,c;let a;for await(const h of e)if(a===void 0)a=h;else try{a=Wa(a,h)}catch{a=h}const o=Gn(n,{callbacks:t==null?void 0:t.getChild(),recursionLimit:((n==null?void 0:n.recursionLimit)??Xg)-1}),u=await new Promise((h,_)=>{Ai.runWithConfig(Dl(o),async()=>{try{const y=await this.func(a,{...o,config:o});h(y)}catch(y){_(y)}})});if(u&&Jn.isRunnable(u)){if((n==null?void 0:n.recursionLimit)===0)throw new Error("Recursion limit reached.");const h=await u.stream(a,o);for await(const _ of h)yield _}else if(w0(u))for await(const h of v0(o,u))(d=n==null?void 0:n.signal)==null||d.throwIfAborted(),yield h;else if(Q1(u))for(const h of J1(o,u))(c=n==null?void 0:n.signal)==null||c.throwIfAborted(),yield h;else yield u}transform(e,t){return this._transformStreamWithConfig(e,this._transform.bind(this),t)}async stream(e,t){async function*n(){yield e}const a=qr(t),o=new Gl({generator:this.transform(n(),a),config:a});return await o.setup,vs.fromAsyncGenerator(o)}}class BI extends Jn{static lc_name(){return"RunnableWithFallbacks"}constructor(e){super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"runnable",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"fallbacks",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.runnable=e.runnable,this.fallbacks=e.fallbacks}*runnables(){yield this.runnable;for(const e of this.fallbacks)yield e}async invoke(e,t){const n=qr(t),a=await Js(n),{runId:o,...u}=n,d=await(a==null?void 0:a.handleChainStart(this.toJSON(),Rn(e,"input"),o,void 0,void 0,void 0,u==null?void 0:u.runName)),c=Gn(u,{callbacks:d==null?void 0:d.getChild()});return await Ai.runWithConfig(c,async()=>{var y;let _;for(const w of this.runnables()){(y=n==null?void 0:n.signal)==null||y.throwIfAborted();try{const M=await w.invoke(e,c);return await(d==null?void 0:d.handleChainEnd(Rn(M,"output"))),M}catch(M){_===void 0&&(_=M)}}throw _===void 0?new Error("No error stored at end of fallback."):(await(d==null?void 0:d.handleChainError(_)),_)})}async*_streamIterator(e,t){var y;const n=qr(t),a=await Js(n),{runId:o,...u}=n,d=await(a==null?void 0:a.handleChainStart(this.toJSON(),Rn(e,"input"),o,void 0,void 0,void 0,u==null?void 0:u.runName));let c,h;for(const w of this.runnables()){(y=n==null?void 0:n.signal)==null||y.throwIfAborted();const M=Gn(u,{callbacks:d==null?void 0:d.getChild()});try{const S=await w.stream(e,M);h=v0(M,S);break}catch(S){c===void 0&&(c=S)}}if(h===void 0){const w=c??new Error("No error stored at end of fallback.");throw await(d==null?void 0:d.handleChainError(w)),w}let _;try{for await(const w of h){yield w;try{_=_===void 0?_:Wa(_,w)}catch{_=void 0}}}catch(w){throw await(d==null?void 0:d.handleChainError(w)),w}await(d==null?void 0:d.handleChainEnd(Rn(_,"output")))}async batch(e,t,n){var c;if(n!=null&&n.returnExceptions)throw new Error("Not implemented.");const a=this._getOptionsList(t??{},e.length),o=await Promise.all(a.map(h=>Js(h))),u=await Promise.all(o.map(async(h,_)=>{const y=await(h==null?void 0:h.handleChainStart(this.toJSON(),Rn(e[_],"input"),a[_].runId,void 0,void 0,void 0,a[_].runName));return delete a[_].runId,y}));let d;for(const h of this.runnables()){(c=a[0].signal)==null||c.throwIfAborted();try{const _=await h.batch(e,u.map((y,w)=>Gn(a[w],{callbacks:y==null?void 0:y.getChild()})),n);return await Promise.all(u.map((y,w)=>y==null?void 0:y.handleChainEnd(Rn(_[w],"output")))),_}catch(_){d===void 0&&(d=_)}}throw d?(await Promise.all(u.map(h=>h==null?void 0:h.handleChainError(d))),d):new Error("No error stored at end of fallbacks.")}}function yo(r){if(typeof r=="function")return new U_({func:r});if(Jn.isRunnable(r))return r;if(!Array.isArray(r)&&typeof r=="object"){const e={};for(const[t,n]of Object.entries(r))e[t]=yo(n);return new Dp({steps:e})}else throw new Error(`Expected a Runnable, function or object.
Instead got an unsupported type.`)}class jI extends Jn{static lc_name(){return"RunnableAssign"}constructor(e){e instanceof Dp&&(e={mapper:e}),super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"mapper",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.mapper=e.mapper}async invoke(e,t){const n=await this.mapper.invoke(e,t);return{...e,...n}}async*_transform(e,t,n){const a=this.mapper.getStepsKeys(),[o,u]=Av(e),d=this.mapper.transform(u,Gn(n,{callbacks:t==null?void 0:t.getChild()})),c=d.next();for await(const h of o){if(typeof h!="object"||Array.isArray(h))throw new Error(`RunnableAssign can only be used with objects as input, got ${typeof h}`);const _=Object.fromEntries(Object.entries(h).filter(([y])=>!a.includes(y)));Object.keys(_).length>0&&(yield _)}yield(await c).value;for await(const h of d)yield h}transform(e,t){return this._transformStreamWithConfig(e,this._transform.bind(this),t)}async stream(e,t){async function*n(){yield e}const a=qr(t),o=new Gl({generator:this.transform(n(),a),config:a});return await o.setup,vs.fromAsyncGenerator(o)}}class zI extends Jn{static lc_name(){return"RunnablePick"}constructor(e){(typeof e=="string"||Array.isArray(e))&&(e={keys:e}),super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","runnables"]}),Object.defineProperty(this,"lc_serializable",{enumerable:!0,configurable:!0,writable:!0,value:!0}),Object.defineProperty(this,"keys",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.keys=e.keys}async _pick(e){if(typeof this.keys=="string")return e[this.keys];{const t=this.keys.map(n=>[n,e[n]]).filter(n=>n[1]!==void 0);return t.length===0?void 0:Object.fromEntries(t)}}async invoke(e,t){return this._callWithConfig(this._pick.bind(this),e,t)}async*_transform(e){for await(const t of e){const n=await this._pick(t);n!==void 0&&(yield n)}}transform(e,t){return this._transformStreamWithConfig(e,this._transform.bind(this),t)}async stream(e,t){async function*n(){yield e}const a=qr(t),o=new Gl({generator:this.transform(n(),a),config:a});return await o.setup,vs.fromAsyncGenerator(o)}}class ew extends vo{constructor(e){const t=bo.from([U_.from(async n=>{let a;if(hk(n))try{a=await this.schema.parseAsync(n.args)}catch{throw new fk("Received tool input did not match expected schema",JSON.stringify(n.args))}else a=n;return a}).withConfig({runName:`${e.name}:parse_input`}),e.bound]).withConfig({runName:e.name});super({bound:t,config:e.config??{}}),Object.defineProperty(this,"name",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"description",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),Object.defineProperty(this,"schema",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.name=e.name,this.description=e.description,this.schema=e.schema}static lc_name(){return"RunnableToolLike"}}function UI(r,e){var a;const t=e.name??r.getName(),n=e.description??((a=e.schema)==null?void 0:a.description);return e.schema.constructor===sp.ZodString?new ew({name:t,description:n,schema:sp.object({input:sp.string()}).transform(o=>o.input),bound:r}):new ew({name:t,description:n,schema:e.schema,bound:r})}class VI extends Jn{constructor(){super(...arguments),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain_core","documents","transformers"]})}invoke(e,t){return this.transformDocuments(e)}}var V_={};V_.byteLength=HI;V_.toByteArray=qI;V_.fromByteArray=XI;var Ea=[],Os=[],WI=typeof Uint8Array<"u"?Uint8Array:Array,t0="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";for(var Tl=0,GI=t0.length;Tl<GI;++Tl)Ea[Tl]=t0[Tl],Os[t0.charCodeAt(Tl)]=Tl;Os[45]=62;Os[95]=63;function Fv(r){var e=r.length;if(e%4>0)throw new Error("Invalid string. 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`).filter(Boolean).reduce((n,a)=>{const[o,u,...d]=a.split(" "),c=Number.parseInt(u,10);return d.forEach((h,_)=>n[h]=c+_),n},{});for(const[n,a]of Object.entries(t)){const o=V_.toByteArray(n);this.rankMap.set(o.join(","),a),this.textMap.set(a,o)}this.specialTokens={...r.special_tokens,...e},this.inverseSpecialTokens=Object.entries(this.specialTokens).reduce((n,[a,o])=>(n[o]=this.textEncoder.encode(a),n),{})}encode(r,e=[],t="all"){const n=new RegExp(this.patStr,"ug"),a=E0.specialTokenRegex(Object.keys(this.specialTokens)),o=[],u=new Set(e==="all"?Object.keys(this.specialTokens):e),d=new Set(t==="all"?Object.keys(this.specialTokens).filter(h=>!u.has(h)):t);if(d.size>0){const h=E0.specialTokenRegex([...d]),_=r.match(h);if(_!=null)throw new Error(`The text contains a special token that is not allowed: ${_[0]}`)}let c=0;for(;;){let h=null,_=c;for(;a.lastIndex=_,h=a.exec(r),!(h==null||u.has(h[0]));)_=h.index+1;const y=(h==null?void 0:h.index)??r.length;for(const M of r.substring(c,y).matchAll(n)){const S=this.textEncoder.encode(M[0]),G=this.rankMap.get(S.join(","));if(G!=null){o.push(G);continue}o.push(...r$(S,this.rankMap))}if(h==null)break;let w=this.specialTokens[h[0]];o.push(w),c=h.index+h[0].length}return o}decode(r){const e=[];let t=0;for(let o=0;o<r.length;++o){const u=r[o],d=this.textMap.get(u)??this.inverseSpecialTokens[u];d!=null&&(e.push(d),t+=d.length)}const n=new Uint8Array(t);let a=0;for(const o of e)n.set(o,a),a+=o.length;return this.textDecoder.decode(n)}},s$=E0;e$(s$,"specialTokenRegex",r=>new RegExp(r.map(e=>n$(e)).join("|"),"g"));class a$ extends VI{constructor(e){if(super(e),Object.defineProperty(this,"lc_namespace",{enumerable:!0,configurable:!0,writable:!0,value:["langchain","document_transformers","text_splitters"]}),Object.defineProperty(this,"chunkSize",{enumerable:!0,configurable:!0,writable:!0,value:1e3}),Object.defineProperty(this,"chunkOverlap",{enumerable:!0,configurable:!0,writable:!0,value:200}),Object.defineProperty(this,"keepSeparator",{enumerable:!0,configurable:!0,writable:!0,value:!1}),Object.defineProperty(this,"lengthFunction",{enumerable:!0,configurable:!0,writable:!0,value:void 0}),this.chunkSize=(e==null?void 0:e.chunkSize)??this.chunkSize,this.chunkOverlap=(e==null?void 0:e.chunkOverlap)??this.chunkOverlap,this.keepSeparator=(e==null?void 0:e.keepSeparator)??this.keepSeparator,this.lengthFunction=(e==null?void 0:e.lengthFunction)??(t=>t.length),this.chunkOverlap>=this.chunkSize)throw new Error("Cannot have chunkOverlap >= chunkSize")}async transformDocuments(e,t={}){return this.splitDocuments(e,t)}splitOnSeparator(e,t){let n;if(t)if(this.keepSeparator){const a=t.replace(/[/\-\\^$*+?.()|[\]{}]/g,"\\$&");n=e.split(new RegExp(`(?=${a})`))}else n=e.split(t);else n=e.split("");return n.filter(a=>a!=="")}async createDocuments(e,t=[],n={}){const a=t.length>0?t:[...Array(e.length)].map(()=>({})),{chunkHeader:o="",chunkOverlapHeader:u="(cont'd) ",appendChunkOverlapHeader:d=!1}=n,c=new Array;for(let h=0;h<e.length;h+=1){const _=e[h];let y=1,w=null,M=-1;for(const S of await this.splitText(_)){let G=o;const H=_.indexOf(S,M+1);if(w===null){const F=this.numberOfNewLines(_,0,H);y+=F}else{const F=M+await this.lengthFunction(w);if(F<H){const I=this.numberOfNewLines(_,F,H);y+=I}else if(F>H){const I=this.numberOfNewLines(_,H,F);y-=I}d&&(G+=u)}const B=this.numberOfNewLines(S),z=a[h].loc&&typeof a[h].loc=="object"?{...a[h].loc}:{};z.lines={from:y,to:y+B};const U={...a[h],loc:z};G+=S,c.push(new Uw({pageContent:G,metadata:U})),y+=B,w=S,M=H}}return c}numberOfNewLines(e,t,n){return(e.slice(t,n).match(/\n/g)||[]).length}async splitDocuments(e,t={}){const n=e.filter(u=>u.pageContent!==void 0),a=n.map(u=>u.pageContent),o=n.map(u=>u.metadata);return this.createDocuments(a,o,t)}joinDocs(e,t){const n=e.join(t).trim();return n===""?null:n}async mergeSplits(e,t){const n=[],a=[];let o=0;for(const d of e){const c=await this.lengthFunction(d);if(o+c+a.length*t.length>this.chunkSize&&(o>this.chunkSize&&console.warn(`Created a chunk of size ${o}, +
which is longer than the specified ${this.chunkSize}`),a.length>0)){const h=this.joinDocs(a,t);for(h!==null&&n.push(h);o>this.chunkOverlap||o+c+a.length*t.length>this.chunkSize&&o>0;)o-=await this.lengthFunction(a[0]),a.shift()}a.push(d),o+=c}const u=this.joinDocs(a,t);return u!==null&&n.push(u),n}}class i$ extends a${static lc_name(){return"CharacterTextSplitter"}constructor(e){super(e),Object.defineProperty(this,"separator",{enumerable:!0,configurable:!0,writable:!0,value:`

`}),this.separator=(e==null?void 0:e.separator)??this.separator}async splitText(e){const t=this.splitOnSeparator(e,this.separator);return this.mergeSplits(t,this.keepSeparator?"":this.separator)}}class o${async loadAndSplit(e){if(e===void 0)throw new Error("You must pass a text splitter to use this method.");const t=await this.load();return e.invoke(t)}}class nb extends o${constructor(e){super(),Object.defineProperty(this,"filePathOrBlob",{enumerable:!0,configurable:!0,writable:!0,value:e})}async parse(e){return[e]}async load(){let e,t;if(typeof this.filePathOrBlob=="string"){const{readFile:a}=await nb.imports();e=await a(this.filePathOrBlob,"utf8"),t={source:this.filePathOrBlob}}else e=await this.filePathOrBlob.text(),t={source:"blob",blobType:this.filePathOrBlob.type};const n=await this.parse(e);return n.forEach((a,o)=>{if(typeof a!="string")throw new Error(`Expected string, at position ${o} got ${typeof a}`)}),n.map((a,o)=>new Uw({pageContent:a,metadata:n.length===1?t:{...t,line:o+1}}))}static async imports(){try{const{readFile:e}=await import("./__vite-browser-external-l0sNRNKZ.js");return{readFile:e}}catch(e){throw console.error(e),new Error(`Failed to load fs/promises. TextLoader available only on environment 'node'. It appears you are running environment '${Mv()}'. See https://<link to docs> for alternatives.`)}}}async function u$(r){console.log(r.size,r.type);const t=await new nb(r).load();return await new i$({chunkSize:500,chunkOverlap:50}).splitDocuments(t)}class cp{static async getInstance(e,t=null){return console.log("instance is : "),console.log(this.instance),this.instance===null&&(this.instance=_2(this.task,this.model,{progress_callback:t,dtype:"fp32",device:e})),this.instance}}we(cp,"task","feature-extraction"),we(cp,"model","Supabase/gte-small"),we(cp,"instance",null);async function sb(r,e){console.log("start embed"),console.log("get emb instance");const t=await r(e,{pooling:"mean",normalize:!0});return console.log("embed success"),Array.from(t.data)}class Nv{static async getInstance(e,t,n,a=null){return console.log("loading data from "+e),this.tokenizer??(this.tokenizer=f2.from_pretrained(e,{progress_callback:a})),this.model??(this.model=h2.from_pretrained(e,{dtype:n,device:t,progress_callback:a})),Promise.all([this.tokenizer,this.model])}}let r0;async function x_(){if(r0)return r0;const r=new c2("idb://browser-rag",{extensions:{vector:d2}});return await r.waitReady,r0=r,r}const Dv=async(r,e,t,n)=>await r.exec(`
    insert into embeddings (title , content, embedding) values
      ('${e}', '${t}', '[${n}]')`),l$=async(r,e,t=.8,n=3)=>(await r.query(`
    select * from embeddings

    -- The inner product is negative, so we negate match_threshold
    where embeddings.embedding <#> $1 < $2

    -- Our embeddings are normalized to length 1, so cosine similarity
    -- and inner product will produce the same query results.
    -- Using inner product which can be computed faster.
    --
    -- For the different distance functions, see https://github.com/pgvector/pgvector
    order by embeddings.embedding <#> $1
    limit $3;
    `,[JSON.stringify(e),-Number(t),Number(n)])).rows;function Bv(r){const e=r.at(-1);let t="";return e.role=="user"&&(t=e.content),t}function c$(r){return Array.from({length:r},()=>Math.random().toString(36).charAt(2)).join("")}function d$(r,e,t,n){if(r=="HuggingFaceTB/SmolLM2-360M-Instruct"){let a=null;for(let d=e.length-1;d>=0;d--)if(e[d].role==="user"){a=e.splice(d,1)[0];break}const o=({retrievedContext:d,userQuery:c})=>`
You are an AI assistant that enhances responses using relevant retrieved knowledge. Your goal is to generate accurate, concise, and well-structured answers based on both retrieved documents and general knowledge. Follow these rules strictly:

1. **Use Retrieved Knowledge First:** Always prioritize retrieved context when formulating answers. If the retrieved documents contain relevant information, synthesize a response based on them.
2. **Be Factual and Verifiable:** Provide only accurate and verifiable information. Avoid speculation or unverifiable claims. If uncertain, state the limitations clearly.
3. **Summarize and Synthesize:** Do not just repeat retrieved text—synthesize key points into a coherent, well-structured response.
4. **Be Concise Yet Informative:** Aim for clarity and efficiency. Avoid excessive verbosity, but provide enough detail to ensure a comprehensive answer.
5. **Cite Sources When Needed:** If the user asks for source details, provide references or indicate which retrieved documents were used.
6. **Maintain a Neutral Tone:** Do not introduce bias or personal opinions—stick to objective facts.


### **Retrieved Context:**
${d||"No relevant context found."}

`;let u="";return t.forEach(d=>{u+=`<|context_item|>${d.content}<|context_item|>`}),e.push({role:"system",content:o({retrievedContext:u})}),a&&e.push(a),console.log(e),n.apply_chat_template(e,{add_generation_prompt:!0,return_dict:!0})}else if(r=="onnx-community/Pleias-Pico"){let o=`<|query_start|>${Bv(e)}<|query_end|>`;return t.forEach(u=>{o+=`<|source_start|><|source_id_start|>${u.id+c$(5)}<|source_id_end|>${u.content}<|source_end|>`}),o+="<|source_analysis_start|>",console.log(o),n(o,{add_generation_prompt:!0,return_dict:!0})}}let Ml=[],dp="webgpu";async function h$(){try{console.log("try to load gpu"),await navigator.gpu.requestAdapter()?console.log("webgpu ok !!!!!"):(console.log("webgpu not ok"),dp="wasm")}catch(r){console.log(r),dp="wasm"}}const Xm=new p2;async function f$(r){Ml.device=dp,console.log("generating with "+Ml.device);const[e,t]=await Nv.getInstance(Ml.model_id,dp,Ml.dtype),n=await x_(),a=Bv(r);self.postMessage({status:"side_notif",message:"Loading embedding model ..."});const o=await cp.getInstance(dp);self.postMessage({status:"side_notif",message:"embedding model ok"});const u=await sb(o,a),d=await l$(n,u),c=await d$(Ml.model_id,r,d,e);console.log(c);let h,_=0,y;const w=()=>{h??(h=performance.now()),_++>0&&(y=_/(performance.now()-h)*1e3)},M=z=>{self.postMessage({status:"update",output:z,tps:y,numTokens:_})},S=new m2(e,{skip_prompt:!0,skip_special_tokens:!0,callback_function:M,token_callback_function:w});self.postMessage({status:"start"});const{past_key_values:G,sequences:H}=await t.generate({...c,top_k:3,temperature:.1,max_new_tokens:4096,streamer:S,stopping_criteria:Xm,return_dict_in_generate:!0}),B=e.batch_decode(H,{skip_special_tokens:!0});self.postMessage({status:"complete",output:B})}async function p$(r){const e=await sb(r.content),t=await x_();await Dv(t,r.title,r.content,e)}async function m$(r){Ml=r,self.postMessage({status:"loading",data:"Loading model..."});const[e,t]=await Nv.getInstance(r.model_id,r.device,r.dtype,a=>{self.postMessage(a)});self.postMessage({status:"loading",data:"Compiling shaders and warming up model..."});const n=e("a");await t.generate({...n,max_new_tokens:1}),self.postMessage({status:"ready"})}self.addEventListener("message",async r=>{const{type:e,data:t}=r.data;switch(e){case"add_db":p$(t),self.postMessage({status:"db_update"});break;case"check":h$(),console.log("check");break;case"load":m$(t);break;case"generate":Xm.reset(),f$(t);break;case"interrupt":Xm.interrupt();break;case"add_pdf":self.postMessage({status:"start_embedding"}),console.log(t);const n=await u$(t),a=await x_(),o=t.name;console.log(o);const u=await x_();await Promise.all(n.map(async(c,h)=>{self.postMessage({status:"side_notif",message:"Loading embedding model ..."});const _=await cp.getInstance();self.postMessage({status:"side_notif",message:"embedding model ok"}),self.postMessage({status:"side_notif",message:`embedding ${o}...`});const y=await sb(_,c.pageContent);self.postMessage({status:"side_notif",message:`succes add of ${o}`}),await Dv(u,o,c.pageContent.replace(/'/g,""),y)}));const d=await a.query("SELECT DISTINCT title FROM embeddings;");self.postMessage({status:"db_update",rows:d.rows});break;case"reset":Xm.reset();break}});