Compose-Files/Backups/Miker/.obsidian/plugins/mcp-tools-istefox/main.js

/*
THIS IS A GENERATED/BUNDLED FILE BY BUN
if you want to view the source, please visit https://github.com/istefox/obsidian-mcp-connector
*/
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qj{render(Q){return"return "+super.render(Q)}}Bj.kind="return";class hU0 extends i4{render(Q){let J="try"+super.render(Q);if(this.catch)J+=this.catch.render(Q);if(this.finally)J+=this.finally.render(Q);return J}optimizeNodes(){var Q,J;return super.optimizeNodes(),(Q=this.catch)===null||Q===void 0||Q.optimizeNodes(),(J=this.finally)===null||J===void 0||J.optimizeNodes(),this}optimizeNames(Q,J){var G,H;return super.optimizeNames(Q,J),(G=this.catch)===null||G===void 0||G.optimizeNames(Q,J),(H=this.finally)===null||H===void 0||H.optimizeNames(Q,J),this}get names(){let Q=super.names;if(this.catch)R3(Q,this.catch.names);if(this.finally)R3(Q,this.finally.names);return Q}}class Aj extends i4{constructor(Q){super();this.error=Q}render(Q){return`catch(${this.error})`+super.render(Q)}}Aj.kind="catch";class Kj extends i4{render(Q){return"finally"+super.render(Q)}}Kj.kind="finally";class _U0{constructor(Q,J={}){this._values={},this._blockStarts=[],this._constants={},this.opts={...J,_n:J.lines?`
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14:O.type=14;break}if(V.f!=null&&(O.f=Number(V.f)),V.i!=null&&(z.Long?(O.i=z.Long.fromValue(V.i)).unsigned=!1:typeof V.i=="string"?O.i=parseInt(V.i,10):typeof V.i=="number"?O.i=V.i:typeof V.i=="object"&&(O.i=new z.LongBits(V.i.low>>>0,V.i.high>>>0).toNumber())),V.s!=null&&(typeof V.s=="string"?z.base64.decode(V.s,O.s=z.newBuffer(z.base64.length(V.s)),0):V.s.length>=0&&(O.s=V.s)),V.t!=null){if(typeof V.t!="object")throw TypeError(".onnx.AttributeProto.t: object expected");O.t=q.onnx.TensorProto.fromObject(V.t)}if(V.g!=null){if(typeof V.g!="object")throw TypeError(".onnx.AttributeProto.g: object expected");O.g=q.onnx.GraphProto.fromObject(V.g)}if(V.sparseTensor!=null){if(typeof V.sparseTensor!="object")throw TypeError(".onnx.AttributeProto.sparseTensor: object expected");O.sparseTensor=q.onnx.SparseTensorProto.fromObject(V.sparseTensor)}if(V.tp!=null){if(typeof V.tp!="object")throw TypeError(".onnx.AttributeProto.tp: object 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I=0;I<V.floats.length;++I)P.floats[I]=O.json&&!isFinite(V.floats[I])?String(V.floats[I]):V.floats[I]}if(V.ints&&V.ints.length){P.ints=[];for(var I=0;I<V.ints.length;++I)typeof V.ints[I]=="number"?P.ints[I]=O.longs===String?String(V.ints[I]):V.ints[I]:P.ints[I]=O.longs===String?z.Long.prototype.toString.call(V.ints[I]):O.longs===Number?new z.LongBits(V.ints[I].low>>>0,V.ints[I].high>>>0).toNumber():V.ints[I]}if(V.strings&&V.strings.length){P.strings=[];for(var I=0;I<V.strings.length;++I)P.strings[I]=O.bytes===String?z.base64.encode(V.strings[I],0,V.strings[I].length):O.bytes===Array?Array.prototype.slice.call(V.strings[I]):V.strings[I]}if(V.tensors&&V.tensors.length){P.tensors=[];for(var I=0;I<V.tensors.length;++I)P.tensors[I]=q.onnx.TensorProto.toObject(V.tensors[I],O)}if(V.graphs&&V.graphs.length){P.graphs=[];for(var I=0;I<V.graphs.length;++I)P.graphs[I]=q.onnx.GraphProto.toObject(V.graphs[I],O)}if(V.docString!=null&&V.hasOwnProperty("docString")&&(P.docString=V.docString),V.tp!=null&&V.hasOwnProperty("tp")&&(P.tp=q.onnx.TypeProto.toObject(V.tp,O)),V.typeProtos&&V.typeProtos.length){P.typeProtos=[];for(var I=0;I<V.typeProtos.length;++I)P.typeProtos[I]=q.onnx.TypeProto.toObject(V.typeProtos[I],O)}if(V.type!=null&&V.hasOwnProperty("type")&&(P.type=O.enums===String?q.onnx.AttributeProto.AttributeType[V.type]===void 0?V.type:q.onnx.AttributeProto.AttributeType[V.type]:V.type),V.refAttrName!=null&&V.hasOwnProperty("refAttrName")&&(P.refAttrName=V.refAttrName),V.sparseTensor!=null&&V.hasOwnProperty("sparseTensor")&&(P.sparseTensor=q.onnx.SparseTensorProto.toObject(V.sparseTensor,O)),V.sparseTensors&&V.sparseTensors.length){P.sparseTensors=[];for(var I=0;I<V.sparseTensors.length;++I)P.sparseTensors[I]=q.onnx.SparseTensorProto.toObject(V.sparseTensors[I],O)}return P},D.prototype.toJSON=function(){return this.constructor.toObject(this,G.util.toJSONOptions)},D.getTypeUrl=function(V){return V===void 0&&(V="type.googleapis.com"),V+"/onnx.AttributeProto"},D.AttributeType=function(){var V={},O=Object.create(V);return O[V[0]="UNDEFINED"]=0,O[V[1]="FLOAT"]=1,O[V[2]="INT"]=2,O[V[3]="STRING"]=3,O[V[4]="TENSOR"]=4,O[V[5]="GRAPH"]=5,O[V[11]="SPARSE_TENSOR"]=11,O[V[13]="TYPE_PROTO"]=13,O[V[6]="FLOATS"]=6,O[V[7]="INTS"]=7,O[V[8]="STRINGS"]=8,O[V[9]="TENSORS"]=9,O[V[10]="GRAPHS"]=10,O[V[12]="SPARSE_TENSORS"]=12,O[V[14]="TYPE_PROTOS"]=14,O}(),D}(),F.ValueInfoProto=function(){function D(V){if(V)for(var O=Object.keys(V),P=0;P<O.length;++P)V[O[P]]!=null&&(this[O[P]]=V[O[P]])}return D.prototype.name="",D.prototype.type=null,D.prototype.docString="",D.create=function(V){return new D(V)},D.encode=function(V,O){return O||(O=K.create()),V.name!=null&&Object.hasOwnProperty.call(V,"name")&&O.uint32(10).string(V.name),V.type!=null&&Object.hasOwnProperty.call(V,"type")&&q.onnx.TypeProto.encode(V.type,O.uint32(18).fork()).ldelim(),V.docString!=null&&Object.hasOwnProperty.call(V,"docString")&&O.uint32(26).string(V.docString),O},D.encodeDelimited=function(V,O){return this.encode(V,O).ldelim()},D.decode=function(V,O){V instanceof H||(V=H.create(V));for(var P=O===void 0?V.len:V.pos+O,N=new q.onnx.ValueInfoProto;V.pos<P;){var I=V.uint32();switch(I>>>3){case 1:{N.name=V.string();break}case 2:{N.type=q.onnx.TypeProto.decode(V,V.uint32());break}case 3:{N.docString=V.string();break}default:V.skipType(I&7);break}}return N},D.decodeDelimited=function(V){return V instanceof H||(V=new H(V)),this.decode(V,V.uint32())},D.verify=function(V){if(typeof V!="object"||V===null)return"object expected";if(V.name!=null&&V.hasOwnProperty("name")&&!z.isString(V.name))return"name: string 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4:{N.opType=V.string();break}case 7:{N.domain=V.string();break}case 5:{N.attribute&&N.attribute.length||(N.attribute=[]),N.attribute.push(q.onnx.AttributeProto.decode(V,V.uint32()));break}case 6:{N.docString=V.string();break}default:V.skipType(I&7);break}}return N},D.decodeDelimited=function(V){return V instanceof H||(V=new H(V)),this.decode(V,V.uint32())},D.verify=function(V){if(typeof V!="object"||V===null)return"object expected";if(V.input!=null&&V.hasOwnProperty("input")){if(!Array.isArray(V.input))return"input: array expected";for(var O=0;O<V.input.length;++O)if(!z.isString(V.input[O]))return"input: string[] expected"}if(V.output!=null&&V.hasOwnProperty("output")){if(!Array.isArray(V.output))return"output: array expected";for(var O=0;O<V.output.length;++O)if(!z.isString(V.output[O]))return"output: string[] expected"}if(V.name!=null&&V.hasOwnProperty("name")&&!z.isString(V.name))return"name: string 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P=0;P<V.output.length;++P)O.output[P]=String(V.output[P])}if(V.name!=null&&(O.name=String(V.name)),V.opType!=null&&(O.opType=String(V.opType)),V.domain!=null&&(O.domain=String(V.domain)),V.attribute){if(!Array.isArray(V.attribute))throw TypeError(".onnx.NodeProto.attribute: array expected");O.attribute=[];for(var P=0;P<V.attribute.length;++P){if(typeof V.attribute[P]!="object")throw TypeError(".onnx.NodeProto.attribute: object expected");O.attribute[P]=q.onnx.AttributeProto.fromObject(V.attribute[P])}}return V.docString!=null&&(O.docString=String(V.docString)),O},D.toObject=function(V,O){O||(O={});var P={};if((O.arrays||O.defaults)&&(P.input=[],P.output=[],P.attribute=[]),O.defaults&&(P.name="",P.opType="",P.docString="",P.domain=""),V.input&&V.input.length){P.input=[];for(var N=0;N<V.input.length;++N)P.input[N]=V.input[N]}if(V.output&&V.output.length){P.output=[];for(var N=0;N<V.output.length;++N)P.output[N]=V.output[N]}if(V.name!=null&&V.hasOwnProperty("name")&&(P.name=V.name),V.opType!=null&&V.hasOwnProperty("opType")&&(P.opType=V.opType),V.attribute&&V.attribute.length){P.attribute=[];for(var N=0;N<V.attribute.length;++N)P.attribute[N]=q.onnx.AttributeProto.toObject(V.attribute[N],O)}return V.docString!=null&&V.hasOwnProperty("docString")&&(P.docString=V.docString),V.domain!=null&&V.hasOwnProperty("domain")&&(P.domain=V.domain),P},D.prototype.toJSON=function(){return this.constructor.toObject(this,G.util.toJSONOptions)},D.getTypeUrl=function(V){return V===void 0&&(V="type.googleapis.com"),V+"/onnx.NodeProto"},D}(),F.TrainingInfoProto=function(){function D(V){if(this.initializationBinding=[],this.updateBinding=[],V)for(var O=Object.keys(V),P=0;P<O.length;++P)V[O[P]]!=null&&(this[O[P]]=V[O[P]])}return D.prototype.initialization=null,D.prototype.algorithm=null,D.prototype.initializationBinding=z.emptyArray,D.prototype.updateBinding=z.emptyArray,D.create=function(V){return new D(V)},D.encode=function(V,O){if(O||(O=K.create()),V.initialization!=null&&Object.hasOwnProperty.call(V,"initialization")&&q.onnx.GraphProto.encode(V.initialization,O.uint32(10).fork()).ldelim(),V.algorithm!=null&&Object.hasOwnProperty.call(V,"algorithm")&&q.onnx.GraphProto.encode(V.algorithm,O.uint32(18).fork()).ldelim(),V.initializationBinding!=null&&V.initializationBinding.length)for(var P=0;P<V.initializationBinding.length;++P)q.onnx.StringStringEntryProto.encode(V.initializationBinding[P],O.uint32(26).fork()).ldelim();if(V.updateBinding!=null&&V.updateBinding.length)for(var P=0;P<V.updateBinding.length;++P)q.onnx.StringStringEntryProto.encode(V.updateBinding[P],O.uint32(34).fork()).ldelim();return O},D.encodeDelimited=function(V,O){return this.encode(V,O).ldelim()},D.decode=function(V,O){V instanceof H||(V=H.create(V));for(var P=O===void 0?V.len:V.pos+O,N=new q.onnx.TrainingInfoProto;V.pos<P;){var I=V.uint32();switch(I>>>3){case 1:{N.initialization=q.onnx.GraphProto.decode(V,V.uint32());break}case 2:{N.algorithm=q.onnx.GraphProto.decode(V,V.uint32());break}case 3:{N.initializationBinding&&N.initializationBinding.length||(N.initializationBinding=[]),N.initializationBinding.push(q.onnx.StringStringEntryProto.decode(V,V.uint32()));break}case 4:{N.updateBinding&&N.updateBinding.length||(N.updateBinding=[]),N.updateBinding.push(q.onnx.StringStringEntryProto.decode(V,V.uint32()));break}default:V.skipType(I&7);break}}return N},D.decodeDelimited=function(V){return V instanceof H||(V=new H(V)),this.decode(V,V.uint32())},D.verify=function(V){if(typeof V!="object"||V===null)return"object expected";if(V.initialization!=null&&V.hasOwnProperty("initialization")){var O=q.onnx.GraphProto.verify(V.initialization);if(O)return"initialization."+O}if(V.algorithm!=null&&V.hasOwnProperty("algorithm")){var O=q.onnx.GraphProto.verify(V.algorithm);if(O)return"algorithm."+O}if(V.initializationBinding!=null&&V.hasOwnProperty("initializationBinding")){if(!Array.isArray(V.initializationBinding))return"initializationBinding: array expected";for(var P=0;P<V.initializationBinding.length;++P){var O=q.onnx.StringStringEntryProto.verify(V.initializationBinding[P]);if(O)return"initializationBinding."+O}}if(V.updateBinding!=null&&V.hasOwnProperty("updateBinding")){if(!Array.isArray(V.updateBinding))return"updateBinding: array expected";for(var P=0;P<V.updateBinding.length;++P){var O=q.onnx.StringStringEntryProto.verify(V.updateBinding[P]);if(O)return"updateBinding."+O}}return null},D.fromObject=function(V){if(V instanceof q.onnx.TrainingInfoProto)return V;var O=new q.onnx.TrainingInfoProto;if(V.initialization!=null){if(typeof V.initialization!="object")throw 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TypeError(".onnx.TrainingInfoProto.updateBinding: object expected");O.updateBinding[P]=q.onnx.StringStringEntryProto.fromObject(V.updateBinding[P])}}return O},D.toObject=function(V,O){O||(O={});var P={};if((O.arrays||O.defaults)&&(P.initializationBinding=[],P.updateBinding=[]),O.defaults&&(P.initialization=null,P.algorithm=null),V.initialization!=null&&V.hasOwnProperty("initialization")&&(P.initialization=q.onnx.GraphProto.toObject(V.initialization,O)),V.algorithm!=null&&V.hasOwnProperty("algorithm")&&(P.algorithm=q.onnx.GraphProto.toObject(V.algorithm,O)),V.initializationBinding&&V.initializationBinding.length){P.initializationBinding=[];for(var N=0;N<V.initializationBinding.length;++N)P.initializationBinding[N]=q.onnx.StringStringEntryProto.toObject(V.initializationBinding[N],O)}if(V.updateBinding&&V.updateBinding.length){P.updateBinding=[];for(var N=0;N<V.updateBinding.length;++N)P.updateBinding[N]=q.onnx.StringStringEntryProto.toObject(V.updateBinding[N],O)}return P},D.prototype.toJSON=function(){return this.constructor.toObject(this,G.util.toJSONOptions)},D.getTypeUrl=function(V){return V===void 0&&(V="type.googleapis.com"),V+"/onnx.TrainingInfoProto"},D}(),F.ModelProto=function(){function D(V){if(this.opsetImport=[],this.metadataProps=[],this.trainingInfo=[],this.functions=[],V)for(var O=Object.keys(V),P=0;P<O.length;++P)V[O[P]]!=null&&(this[O[P]]=V[O[P]])}return D.prototype.irVersion=z.Long?z.Long.fromBits(0,0,!1):0,D.prototype.opsetImport=z.emptyArray,D.prototype.producerName="",D.prototype.producerVersion="",D.prototype.domain="",D.prototype.modelVersion=z.Long?z.Long.fromBits(0,0,!1):0,D.prototype.docString="",D.prototype.graph=null,D.prototype.metadataProps=z.emptyArray,D.prototype.trainingInfo=z.emptyArray,D.prototype.functions=z.emptyArray,D.create=function(V){return new 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5:{N.modelVersion=V.int64();break}case 6:{N.docString=V.string();break}case 7:{N.graph=q.onnx.GraphProto.decode(V,V.uint32());break}case 14:{N.metadataProps&&N.metadataProps.length||(N.metadataProps=[]),N.metadataProps.push(q.onnx.StringStringEntryProto.decode(V,V.uint32()));break}case 20:{N.trainingInfo&&N.trainingInfo.length||(N.trainingInfo=[]),N.trainingInfo.push(q.onnx.TrainingInfoProto.decode(V,V.uint32()));break}case 25:{N.functions&&N.functions.length||(N.functions=[]),N.functions.push(q.onnx.FunctionProto.decode(V,V.uint32()));break}default:V.skipType(I&7);break}}return N},D.decodeDelimited=function(V){return V instanceof H||(V=new H(V)),this.decode(V,V.uint32())},D.verify=function(V){if(typeof V!="object"||V===null)return"object expected";if(V.irVersion!=null&&V.hasOwnProperty("irVersion")&&!z.isInteger(V.irVersion)&&!(V.irVersion&&z.isInteger(V.irVersion.low)&&z.isInteger(V.irVersion.high)))return"irVersion: integer|Long 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q.onnx.ModelProto;if(V.irVersion!=null&&(z.Long?(O.irVersion=z.Long.fromValue(V.irVersion)).unsigned=!1:typeof V.irVersion=="string"?O.irVersion=parseInt(V.irVersion,10):typeof V.irVersion=="number"?O.irVersion=V.irVersion:typeof V.irVersion=="object"&&(O.irVersion=new z.LongBits(V.irVersion.low>>>0,V.irVersion.high>>>0).toNumber())),V.opsetImport){if(!Array.isArray(V.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");O.opsetImport=[];for(var P=0;P<V.opsetImport.length;++P){if(typeof V.opsetImport[P]!="object")throw TypeError(".onnx.ModelProto.opsetImport: object expected");O.opsetImport[P]=q.onnx.OperatorSetIdProto.fromObject(V.opsetImport[P])}}if(V.producerName!=null&&(O.producerName=String(V.producerName)),V.producerVersion!=null&&(O.producerVersion=String(V.producerVersion)),V.domain!=null&&(O.domain=String(V.domain)),V.modelVersion!=null&&(z.Long?(O.modelVersion=z.Long.fromValue(V.modelVersion)).unsigned=!1:typeof V.modelVersion=="string"?O.modelVersion=parseInt(V.modelVersion,10):typeof V.modelVersion=="number"?O.modelVersion=V.modelVersion:typeof V.modelVersion=="object"&&(O.modelVersion=new z.LongBits(V.modelVersion.low>>>0,V.modelVersion.high>>>0).toNumber())),V.docString!=null&&(O.docString=String(V.docString)),V.graph!=null){if(typeof V.graph!="object")throw TypeError(".onnx.ModelProto.graph: object expected");O.graph=q.onnx.GraphProto.fromObject(V.graph)}if(V.metadataProps){if(!Array.isArray(V.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array expected");O.metadataProps=[];for(var P=0;P<V.metadataProps.length;++P){if(typeof V.metadataProps[P]!="object")throw TypeError(".onnx.ModelProto.metadataProps: object expected");O.metadataProps[P]=q.onnx.StringStringEntryProto.fromObject(V.metadataProps[P])}}if(V.trainingInfo){if(!Array.isArray(V.trainingInfo))throw TypeError(".onnx.ModelProto.trainingInfo: array expected");O.trainingInfo=[];for(var P=0;P<V.trainingInfo.length;++P){if(typeof V.trainingInfo[P]!="object")throw TypeError(".onnx.ModelProto.trainingInfo: object expected");O.trainingInfo[P]=q.onnx.TrainingInfoProto.fromObject(V.trainingInfo[P])}}if(V.functions){if(!Array.isArray(V.functions))throw TypeError(".onnx.ModelProto.functions: array expected");O.functions=[];for(var P=0;P<V.functions.length;++P){if(typeof V.functions[P]!="object")throw TypeError(".onnx.ModelProto.functions: object expected");O.functions[P]=q.onnx.FunctionProto.fromObject(V.functions[P])}}return O},D.toObject=function(V,O){O||(O={});var P={};if((O.arrays||O.defaults)&&(P.opsetImport=[],P.metadataProps=[],P.trainingInfo=[],P.functions=[]),O.defaults){if(z.Long){var N=new z.Long(0,0,!1);P.irVersion=O.longs===String?N.toString():O.longs===Number?N.toNumber():N}else P.irVersion=O.longs===String?"0":0;if(P.producerName="",P.producerVersion="",P.domain="",z.Long){var N=new z.Long(0,0,!1);P.modelVersion=O.longs===String?N.toString():O.longs===Number?N.toNumber():N}else P.modelVersion=O.longs===String?"0":0;P.docString="",P.graph=null}if(V.irVersion!=null&&V.hasOwnProperty("irVersion")&&(typeof V.irVersion=="number"?P.irVersion=O.longs===String?String(V.irVersion):V.irVersion:P.irVersion=O.longs===String?z.Long.prototype.toString.call(V.irVersion):O.longs===Number?new z.LongBits(V.irVersion.low>>>0,V.irVersion.high>>>0).toNumber():V.irVersion),V.producerName!=null&&V.hasOwnProperty("producerName")&&(P.producerName=V.producerName),V.producerVersion!=null&&V.hasOwnProperty("producerVersion")&&(P.producerVersion=V.producerVersion),V.domain!=null&&V.hasOwnProperty("domain")&&(P.domain=V.domain),V.modelVersion!=null&&V.hasOwnProperty("modelVersion")&&(typeof V.modelVersion=="number"?P.modelVersion=O.longs===String?String(V.modelVersion):V.modelVersion:P.modelVersion=O.longs===String?z.Long.prototype.toString.call(V.modelVersion):O.longs===Number?new z.LongBits(V.modelVersion.low>>>0,V.modelVersion.high>>>0).toNumber():V.modelVersion),V.docString!=null&&V.hasOwnProperty("docString")&&(P.docString=V.docString),V.graph!=null&&V.hasOwnProperty("graph")&&(P.graph=q.onnx.GraphProto.toObject(V.graph,O)),V.opsetImport&&V.opsetImport.length){P.opsetImport=[];for(var I=0;I<V.opsetImport.length;++I)P.opsetImport[I]=q.onnx.OperatorSetIdProto.toObject(V.opsetImport[I],O)}if(V.metadataProps&&V.metadataProps.length){P.metadataProps=[];for(var I=0;I<V.metadataProps.length;++I)P.metadataProps[I]=q.onnx.StringStringEntryProto.toObject(V.metadataProps[I],O)}if(V.trainingInfo&&V.trainingInfo.length){P.trainingInfo=[];for(var I=0;I<V.trainingInfo.length;++I)P.trainingInfo[I]=q.onnx.TrainingInfoProto.toObject(V.trainingInfo[I],O)}if(V.functions&&V.functions.length){P.functions=[];for(var I=0;I<V.functions.length;++I)P.functions[I]=q.onnx.FunctionProto.toObject(V.functions[I],O)}return P},D.prototype.toJSON=function(){return this.constructor.toObject(this,G.util.toJSONOptions)},D.getTypeUrl=function(V){return V===void 0&&(V="type.googleapis.com"),V+"/onnx.ModelProto"},D}(),F.StringStringEntryProto=function(){function D(V){if(V)for(var O=Object.keys(V),P=0;P<O.length;++P)V[O[P]]!=null&&(this[O[P]]=V[O[P]])}return D.prototype.key="",D.prototype.value="",D.create=function(V){return new D(V)},D.encode=function(V,O){return O||(O=K.create()),V.key!=null&&Object.hasOwnProperty.call(V,"key")&&O.uint32(10).string(V.key),V.value!=null&&Object.hasOwnProperty.call(V,"value")&&O.uint32(18).string(V.value),O},D.encodeDelimited=function(V,O){return this.encode(V,O).ldelim()},D.decode=function(V,O){V instanceof H||(V=H.create(V));for(var P=O===void 0?V.len:V.pos+O,N=new q.onnx.StringStringEntryProto;V.pos<P;){var I=V.uint32();switch(I>>>3){case 1:{N.key=V.string();break}case 2:{N.value=V.string();break}default:V.skipType(I&7);break}}return N},D.decodeDelimited=function(V){return V instanceof H||(V=new H(V)),this.decode(V,V.uint32())},D.verify=function(V){return typeof V!="object"||V===null?"object expected":V.key!=null&&V.hasOwnProperty("key")&&!z.isString(V.key)?"key: string expected":V.value!=null&&V.hasOwnProperty("value")&&!z.isString(V.value)?"value: string expected":null},D.fromObject=function(V){if(V instanceof q.onnx.StringStringEntryProto)return V;var O=new q.onnx.StringStringEntryProto;return V.key!=null&&(O.key=String(V.key)),V.value!=null&&(O.value=String(V.value)),O},D.toObject=function(V,O){O||(O={});var P={};return O.defaults&&(P.key="",P.value=""),V.key!=null&&V.hasOwnProperty("key")&&(P.key=V.key),V.value!=null&&V.hasOwnProperty("value")&&(P.value=V.value),P},D.prototype.toJSON=function(){return this.constructor.toObject(this,G.util.toJSONOptions)},D.getTypeUrl=function(V){return V===void 0&&(V="type.googleapis.com"),V+"/onnx.StringStringEntryProto"},D}(),F.TensorAnnotation=function(){function D(V){if(this.quantParameterTensorNames=[],V)for(var O=Object.keys(V),P=0;P<O.length;++P)V[O[P]]!=null&&(this[O[P]]=V[O[P]])}return D.prototype.tensorName="",D.prototype.quantParameterTensorNames=z.emptyArray,D.create=function(V){return new D(V)},D.encode=function(V,O){if(O||(O=K.create()),V.tensorName!=null&&Object.hasOwnProperty.call(V,"tensorName")&&O.uint32(10).string(V.tensorName),V.quantParameterTensorNames!=null&&V.quantParameterTensorNames.length)for(var P=0;P<V.quantParameterTensorNames.length;++P)q.onnx.StringStringEntryProto.encode(V.quantParameterTensorNames[P],O.uint32(18).fork()).ldelim();return O},D.encodeDelimited=function(V,O){return this.encode(V,O).ldelim()},D.decode=function(V,O){V instanceof H||(V=H.create(V));for(var P=O===void 0?V.len:V.pos+O,N=new q.onnx.TensorAnnotation;V.pos<P;){var I=V.uint32();switch(I>>>3){case 1:{N.tensorName=V.string();break}case 2:{N.quantParameterTensorNames&&N.quantParameterTensorNames.length||(N.quantParameterTensorNames=[]),N.quantParameterTensorNames.push(q.onnx.StringStringEntryProto.decode(V,V.uint32()));break}default:V.skipType(I&7);break}}return N},D.decodeDelimited=function(V){return V instanceof H||(V=new H(V)),this.decode(V,V.uint32())},D.verify=function(V){if(typeof V!="object"||V===null)return"object expected";if(V.tensorName!=null&&V.hasOwnProperty("tensorName")&&!z.isString(V.tensorName))return"tensorName: string expected";if(V.quantParameterTensorNames!=null&&V.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(V.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var O=0;O<V.quantParameterTensorNames.length;++O){var P=q.onnx.StringStringEntryProto.verify(V.quantParameterTensorNames[O]);if(P)return"quantParameterTensorNames."+P}}return null},D.fromObject=function(V){if(V instanceof q.onnx.TensorAnnotation)return V;var O=new q.onnx.TensorAnnotation;if(V.tensorName!=null&&(O.tensorName=String(V.tensorName)),V.quantParameterTensorNames){if(!Array.isArray(V.quantParameterTensorNames))throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: array expected");O.quantParameterTensorNames=[];for(var P=0;P<V.quantParameterTensorNames.length;++P){if(typeof V.quantParameterTensorNames[P]!="object")throw TypeError(".onnx.TensorAnnotation.quantParameterTensorNames: object expected");O.quantParameterTensorNames[P]=q.onnx.StringStringEntryProto.fromObject(V.quantParameterTensorNames[P])}}return O},D.toObject=function(V,O){O||(O={});var P={};if((O.arrays||O.defaults)&&(P.quantParameterTensorNames=[]),O.defaults&&(P.tensorName=""),V.tensorName!=null&&V.hasOwnProperty("tensorName")&&(P.tensorName=V.tensorName),V.quantParameterTensorNames&&V.quantParameterTensorNames.length){P.quantParameterTensorNames=[];for(var N=0;N<V.quantParameterTensorNames.length;++N)P.quantParameterTensorNames[N]=q.onnx.StringStringEntryProto.toObject(V.quantParameterTensorNames[N],O)}return P},D.prototype.toJSON=function(){return this.constructor.toObject(this,G.util.toJSONOptions)},D.getTypeUrl=function(V){return V===void 0&&(V="type.googleapis.com"),V+"/onnx.TensorAnnotation"},D}(),F.GraphProto=function(){function D(V){if(this.node=[],this.initializer=[],this.sparseInitializer=[],this.input=[],this.output=[],this.valueInfo=[],this.quantizationAnnotation=[],V)for(var O=Object.keys(V),P=0;P<O.length;++P)V[O[P]]!=null&&(this[O[P]]=V[O[P]])}return D.prototype.node=z.emptyArray,D.prototype.name="",D.prototype.initializer=z.emptyArray,D.prototype.sparseInitializer=z.emptyArray,D.prototype.docString="",D.prototype.input=z.emptyArray,D.prototype.output=z.emptyArray,D.prototype.valueInfo=z.emptyArray,D.prototype.quantizationAnnotation=z.emptyArray,D.create=function(V){return new D(V)},D.encode=function(V,O){if(O||(O=K.create()),V.node!=null&&V.node.length)for(var P=0;P<V.node.length;++P)q.onnx.NodeProto.encode(V.node[P],O.uint32(10).fork()).ldelim();if(V.name!=null&&Object.hasOwnProperty.call(V,"name")&&O.uint32(18).string(V.name),V.initializer!=null&&V.initializer.length)for(var P=0;P<V.initializer.length;++P)q.onnx.TensorProto.encode(V.initializer[P],O.uint32(42).fork()).ldelim();if(V.docString!=null&&Object.hasOwnProperty.call(V,"docString")&&O.uint32(82).string(V.docString),V.input!=null&&V.input.length)for(var P=0;P<V.input.length;++P)q.onnx.ValueInfoProto.encode(V.input[P],O.uint32(90).fork()).ldelim();if(V.output!=null&&V.output.length)for(var P=0;P<V.output.length;++P)q.onnx.ValueInfoProto.encode(V.output[P],O.uint32(98).fork()).ldelim();if(V.valueInfo!=null&&V.valueInfo.length)for(var P=0;P<V.valueInfo.length;++P)q.onnx.ValueInfoProto.encode(V.valueInfo[P],O.uint32(106).fork()).ldelim();if(V.quantizationAnnotation!=null&&V.quantizationAnnotation.length)for(var P=0;P<V.quantizationAnnotation.length;++P)q.onnx.TensorAnnotation.encode(V.quantizationAnnotation[P],O.uint32(114).fork()).ldelim();if(V.sparseInitializer!=null&&V.sparseInitializer.length)for(var P=0;P<V.sparseInitializer.length;++P)q.onnx.SparseTensorProto.encode(V.sparseInitializer[P],O.uint32(122).fork()).ldelim();return O},D.encodeDelimited=function(V,O){return this.encode(V,O).ldelim()},D.decode=function(V,O){V instanceof H||(V=H.create(V));for(var P=O===void 0?V.len:V.pos+O,N=new q.onnx.GraphProto;V.pos<P;){var I=V.uint32();switch(I>>>3){case 1:{N.node&&N.node.length||(N.node=[]),N.node.push(q.onnx.NodeProto.decode(V,V.uint32()));break}case 2:{N.name=V.string();break}case 5:{N.initializer&&N.initializer.length||(N.initializer=[]),N.initializer.push(q.onnx.TensorProto.decode(V,V.uint32()));break}case 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1");(G.length===0&&J[K]>1||G.length>0&&!z)&&H.push(J[K])}return H}static unsqueezeShape(J,G){let H=Array(J.length+G.length);H.fill(0);for(let z=0;z<G.length;z++){let q=Q.normalizeAxis(G[z],H.length);if(q>=H.length)throw Error("'axes' has an out of range axis");if(H[q]!==0)throw Error("'axes' has a duplicate axis");H[q]=1}let K=0;for(let z=0;z<H.length;z++)H[z]===0&&(H[z]=J[K++]);if(K!==J.length)throw Error("the unsqueezed dimension could not be established");return H}},Ur=class Q{static splitShape(J,G,H,K){if(H.length===0){if(!K)throw Error("need to know number of outputs when the 'split' attribute is not specified");Q.determineSplit(J[G],K,H)}let z=[],q=[0];for(let F=0;F<H.length;++F){F!==0&&q.push(q[F-1]+H[F-1]);let D=J.slice();D[G]=H[F],z.push(D)}return[z,q]}static determineSplit(J,G,H){if(J%G!==0)throw Error("cannot split tensor to equal sized parts");for(let K=0;K<G;++K)H.push(J/G)}},Qn=class Q{static adjustPoolAttributes(J,G,H,K,z,q){if(!J&&H.length!==G.length-2)throw Error("length of specified kernel shapes should be 2 less than length of input dimensions");if(J)for(let F=0;F<G.length-2;F++)F>=H.length?H.push(G[F+2]):H[F]=G[F+2];for(let F=0;F<H.length;F++)if(F<K.length){if(K[F]<0)throw Error("strides should be greater than or equal to 1")}else K.push(1);for(let F=0;F<H.length;F++)if(F<z.length){if(z[F]<0)throw Error("dilations should be greater than or equal to 1")}else z.push(1);for(let F=0;F<H.length*2;F++)if(F<q.length){if(q[F]<0)throw Error("pad should be greater than or equal to 1")}else q.push(0);for(let F=0;F<H.length;F++){if(H[F]<=0)throw Error("kernel shapes need to be greater than 0");if(q[F]>=H[F]||q[F+H.length]>=H[F])throw Error("pads should be smaller than kernel")}}static adjustPadsBasedOnAutoPad(J,G,H,K,z,q){if(q){if(z.length!==2*(J.length-2))throw Error("length of pads should be twice the length of data dimensions");if(G.length!==J.length-2)throw Error("length of strides should be the length of data 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    ${J.outputDeclaration}
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      int z;
      int w;
      int u;
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      int y;
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      int u;
      int v;
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    }

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      }

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      } else if(v < -FLOAT_MAX) {
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      c[2] = floor(128.0 * m);
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      c[1] = floor(32768.0 * m);
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      highp float ebias = e + 127.0;
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      ebias -= c[3] * 2.0;
      c[2] += floor(ebias) * 128.0;

      c[3] += 128.0 * step(0.0, -v);

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  float process(int[${K}] indices) {
    vec2 position = offsetToCoords(indices[1], ${z}, ${q});
    float scale = getColorAsFloat(${H.texture2D}(Scale, position));
    float mean = getColorAsFloat(${H.texture2D}(Mean, position));
    float variance = getColorAsFloat(${H.texture2D}(Variance, position));
    float b = getColorAsFloat(${H.texture2D}(B, position));

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  float ${Q}(float a, float b) {
    return a + b;
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return v1 + v2;
  }
  `,name:Q,type:0}}function z0(){let Q="div_";return{body:`
  float ${Q}(float a, float b) {
    return a / b;
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return v1 / v2;
  }
  `,name:Q,type:0}}function M0(){let Q="mul_";return{body:`
  float ${Q}(float a, float b) {
    return a * b;
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return v1 * v2;
  }
  `,name:Q,type:0}}function B0(){let Q="sub_";return{body:`
  float ${Q}(float a, float b) {
    return a - b;
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return v1 - v2;
  }
  `,name:Q,type:0}}function F0(){let Q="equal_";return{body:`
  float ${Q}(float a, float b) {
    return float(a == b);
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return vec4(equal(v1, v2));
  }
  `,name:Q,type:0}}function V0(){let Q="greater_";return{body:`
  float ${Q}(float a, float b) {
    return float(a > b);
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return vec4( v1.r > v2.r ,
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      v1.b > v2.b,
      v1.a > v2.a );
  }
  `,name:Q,type:0}}function G0(){let Q="less_";return{body:`
  float ${Q}(float a, float b) {
    return float(a < b);
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  vec4 ${Q}(vec4 v1, vec4 v2) {
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                v1.b < v2.b,
                v1.a < v2.a );
  }
  `,name:Q,type:0}}function U0(){let Q="and_";return{body:`
  float ${Q}(float a, float b) {
    return float( bool(a) && bool(b) );
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    bvec4 b1 = bvec4(v1);
    bvec4 b2 = bvec4(v2);
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  float ${Q}(float a, float b) {
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  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    bvec4 b1 = bvec4(v1);
    bvec4 b2 = bvec4(v2);
    return vec4( b1.r || b2.r ,
                b1.g || b2.g,
                b1.b || b2.b,
                b1.a || b2.a );
  }
  `,name:Q,type:0}}function H0(){let Q="xor_";return{body:`
  float ${Q}(float a, float b) {
    return float( bool(a) ^^ bool(b) );
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  vec4 ${Q}(vec4 v1, vec4 v2) {
    bvec4 b1 = bvec4(v1);
    bvec4 b2 = bvec4(v2);
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                b1.g ^^ b2.g,
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  }
  `,name:Q,type:0}}function q0(){return K0("pow")}function j0(){let Q="prelu_";return{body:`
  float ${Q}(float a, float b) {
    return a < 0.0 ? a * b: a;
  }
  vec4 ${Q}(vec4 v1, vec4 v2) {
    return vec4(
      v1.r < 0.0 ? v1.r * v2.r: v1.r,
      v1.g < 0.0 ? v1.g * v2.g: v1.g,
      v1.b < 0.0 ? v1.b * v2.b: v1.b,
      v1.a < 0.0 ? v1.a * v2.a: v1.a
      );
  }
  `,name:Q,type:0}}function K0(Q){let J=`${Q}_`;return{body:`
  float ${J}(float a, float b) {
    return ${Q}(a, b);
  }
  vec4 ${J}(vec4 v1, vec4 v2) {
    return ${Q}(v1, v2);
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      ${G.body}
      void main() {
        vec4 a = getAAtOutCoords();
        vec4 b = getBAtOutCoords();
        vec4 result = ${G.name}(a, b);
        ${E.output} = result;
      }`:`
      ${G.body}
      float process(int indices[${P}]) {
        int aindices[${N}];
        int bindices[${I}];
        ${R}
        ${w}
        return ${G.name}(_A(aindices), _B(bindices));
      }`;return{name:G.name,inputNames:["A","B"],inputTypes:[K,K],output:{dims:q,type:H,textureType:K},shaderSource:T,hasMain:F}}let D=j(Q.session.backend.glContext.version),V=`
    ${G.body}
    void main() {
      vec4 v1 = ${D.texture2D}(A, TexCoords);
      vec4 v2 = ${D.texture2D}(B, TexCoords);
      vec4 result = ${G.name}(v1, v2);
      ${D.output} = result;
    }
    `;return{name:G.name,inputNames:["A","B"],inputTypes:[K,K],output:{dims:J[0].dims,type:H,textureType:K},shaderSource:V,hasMain:!0}},hp=(Q,J)=>[Q.run(bt(Q,J,N0()),J)],mp=(Q,J)=>[Q.run(bt(Q,J,U0(),"bool"),J)],gp=(Q,J)=>[Q.run(bt(Q,J,z0()),J)],bp=(Q,J)=>[Q.run(bt(Q,J,F0(),"bool"),J)],yp=(Q,J)=>[Q.run(bt(Q,J,V0(),"bool"),J)],_p=(Q,J)=>[Q.run(bt(Q,J,G0(),"bool"),J)],xp=(Q,J)=>[Q.run(bt(Q,J,M0()),J)],wp=(Q,J)=>[Q.run(bt(Q,J,W0(),"bool"),J)],Tp=(Q,J)=>[Q.run(bt(Q,J,q0()),J)],vp=(Q,J)=>[Q.run(bt(Q,J,j0()),J)],Ip=(Q,J)=>[Q.run(bt(Q,J,B0()),J)],Sp=(Q,J)=>[Q.run(bt(Q,J,H0(),"bool"),J)]}),Ap,Pp,J0,Op=$(()=>{xe(),Ap=(Q,J,G)=>(J0(J),[Q.cast(J[0],G)]),Pp=(Q)=>je.tensorDataTypeFromProto(Q.attributes.getInt("to")),J0=(Q)=>{if(!Q||Q.length!==1)throw Error("Cast requires 1 input.");if(Q[0].type==="string")throw Error("Invalid input type.")}}),Q0,Y0,Ep,qo,Cp=$(()=>{De(),pe(),dn(),nr(),Q0=(Q,J)=>({name:"Concat (packed)",inputNames:Array.from({length:Q},(G,H)=>`X${H}`),inputTypes:Array(Q).fill(2),cacheHint:J}),Y0=(Q,J,G,H)=>{let K=G[0].dims.slice();if(H>=K.length||H<-1*K.length)throw Error("axis specified for concat doesn't match input dimensionality");H<0&&(H=K.length+H);let z=K.slice(0);for(let g=1;g<G.length;g++){let l=G[g].dims.slice();for(let _=0;_<K.length;_++)if(_===H)z[H]+=l[_];else if(K[_]!==l[_])throw Error("non concat dimensions must match")}let q=z.length,F=xr("coords",q),D=Ye(q),V=pn(),O=G.map((g)=>g.dims),P=$t(q),N=Array(O.length-1);N[0]=O[0][H];for(let g=1;g<N.length;g++)N[g]=N[g-1]+O[g][H];let I=P[H],R=P.slice(-2),w=P.join(),E=`if (${I} < ${N[0]}) {
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            ${F[q-2]} = ${F[q-2]} + 1;
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            }

            ${F[q-1]} = ${F[q-1]} - 1;
            if (${F[q-2]} < ${z[q-2]} &&
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              result.b = getValue(${F});
            }
            ${x.output} = result;
          }
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        ${P}
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          }

          return fetchDataFromCorrectTexture(textureIndex, indices);
        }`;return{...J,output:{dims:z,type:G[0].type,textureType:0},shaderSource:N}},nI=(Q,J,G)=>{let H=eI(J.length,G.cacheKey);return{...H,get:()=>tI(Q,H,J,G.axis)}},kp=(Q)=>`int getTextureWhereDataResides(int index) {
      ${Q.map((J,G)=>`if(index<${J}) {return ${G};}
`).join("")}
    }`,rI=(Q)=>kp(Q),oI=(Q,J)=>{let G=[`float fetchDataFromCorrectTexture(int textureIndex, int indices[${J}]) {`];for(let H=0;H<Q;++H)H===0?G.push(`	if (textureIndex == ${H}) { return _X${H}(indices); }`):H===Q-1?G.push(`	else { return _X${H}(indices); }`):G.push(`	else if (textureIndex == ${H}) { return _X${H}(indices); }`);return G.push("\t}"),G.join(`
`)},iI=(Q)=>{let J=["int getSizeInConcatAxisValueFromIndex(int index) {"];for(let G=0;G<Q.length;++G)G===0?J.push(`	if (index == ${G}) { return ${Q[G]}; }`):G===Q.length-1?J.push(`	else { return ${Q[G]}; }`):J.push(`	else if (index == ${G}) { return ${Q[G]}; }`);return J.push("\t}"),J.join(`
`)},Lp=(Q)=>se({axis:Q.attributes.getInt("axis")}),aI=(Q)=>{if(!Q||Q.length<1)throw Error("too few inputs");let J=Q[0].type,G=Q[0].dims.length;if(J==="string")throw Error("string tensor is not supported yet");for(let H of Q){if(H.type!==J)throw Error("input tensors should be one type");if(H.dims.length!==G)throw Error("input tensors should have the same shape")}}});function sI(){return yt("abs")}function uI(){return yt("acos")}function lI(){return yt("asin")}function cI(){return yt("atan")}function dI(){return yt("ceil")}function pI(){return yt("cos")}function fI(Q){let J="elu";return{body:`
  const float alpha = float(${Q});

  float ${J}_(float a) {
    return a >= 0.0 ? a: (exp(a) - 1.0) * alpha;
  }
  vec4 ${J}_(vec4 v) {
    return vec4(${J}_(v.x), ${J}_(v.y), ${J}_(v.z), ${J}_(v.w));
  }
  `,name:J,type:0}}function hI(){return yt("exp")}function mI(){return yt("floor")}function iu(Q,J){let G="clip";return{body:`
  const float min = float(${Q});
  const float max = float(${J});

  float ${G}_(float a) {
    return clamp(a, min, max);
  }
  vec4 ${G}_(vec4 v) {
    return clamp(v, min, max);
  }
  `,name:G,type:0}}function gI(){let Q="indentity";return{body:`
  float ${Q}_(float a) {
    return a;
  }
  vec4 ${Q}_(vec4 v) {
    return v;
  }
  `,name:Q,type:0}}function bI(Q){let J="leakyRelu";return{body:`
  const float alpha = float(${Q});

  float ${J}_(float a) {
    return a < 0.0 ? a * alpha : a;
  }
  vec4 ${J}_(vec4 v) {
    return vec4(${J}_(v.x), ${J}_(v.y), ${J}_(v.z), ${J}_(v.w));
  }
  `,name:J,type:0}}function yI(){return yt("log")}function _I(){let Q="neg";return{body:`
  float ${Q}_(float a) {
    return -a;
  }
  vec4 ${Q}_(vec4 v) {
    return -v;
  }
  `,name:Q,type:0}}function xI(){let Q="not";return{body:`
  float ${Q}_(float a) {
    return float( ! bool(a) );
  }
  bool ${Q}_(bool a) {
    return !a;
  }
  vec4 ${Q}_(vec4 v) {
    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
  }
  bvec4 ${Q}_(bvec4 v) {
    return bvec4(!v.x, !v.y, !v.z, !v.w);
  }
  `,name:Q,type:0}}function wI(){return yt("sin")}function au(){let Q="relu";return{body:`
  float ${Q}_(float a) {
    return max( a, 0.0 );
  }
  vec4 ${Q}_(vec4 v) {
    return max( v, 0.0 );
  }
  `,name:Q,type:0}}function su(){let Q="sigmoid";return{body:`
  float ${Q}_(float a) {
    return 1.0 / (1.0 + exp(-a));
  }
  vec4 ${Q}_(vec4 v) {
    return 1.0 / (1.0 + exp(-v));
  }
  `,name:Q,type:0}}function TI(){return yt("sqrt")}function vI(){return yt("tan")}function II(){let Q="tanh";return{body:`
  float ${Q}_(float a) {
    a = clamp(a, -10., 10.);
    a = exp(2.*a);
    return (a - 1.) / (a + 1.);
  }
  vec4 ${Q}_(vec4 v) {
    v = clamp(v, -10., 10.);
    v = exp(2.*v);
    return (v - 1.) / (v + 1.);
  }
  `,name:Q,type:0}}function yt(Q){return{body:`
  float ${Q}_(float a) {
    return ${Q}(a);
  }
  vec4 ${Q}_(vec4 v) {
    return ${Q}(v);
  }
  `,name:Q,type:0}}var SI,ze,Np,zp,Mp,Bp,uu,Fp,Vp,$I,Gp,Up,Wp,Hp,qp,jp,lu,Kp,Xp,Zp,Jp,Qp,Yp,ef,tf,nf,rf,of,cu=$(()=>{We(),xe(),An(),De(),pe(),SI=(Q,J,G,H)=>{let K=Q.session.pack?2:0,z=j(Q.session.backend.glContext.version);return{...J,output:{dims:G.dims,type:G.type,textureType:K},shaderSource:`
     ${H.body}
     void main() {
       vec4 v = ${z.texture2D}(A, TexCoords);
       v = ${H.name}_(v);
       ${z.output} = v;
     }
     `,hasMain:!0}},ze=(Q,J,G,H)=>{let K=Q.session.pack?2:0,z={name:G.name,inputTypes:[K],inputNames:["A"],cacheHint:H};return{...z,get:()=>SI(Q,z,J,G)}},Np=(Q,J)=>[Q.run(ze(Q,J[0],sI()),J)],zp=(Q,J)=>[Q.run(ze(Q,J[0],uI()),J)],Mp=(Q,J)=>[Q.run(ze(Q,J[0],lI()),J)],Bp=(Q,J)=>[Q.run(ze(Q,J[0],cI()),J)],uu=(Q,J,G)=>[Q.run(ze(Q,J[0],iu(G.min,G.max),G.cacheKey),J)],Fp=(Q)=>se({min:Q.attributes.getFloat("min",Yn),max:Q.attributes.getFloat("max",er)}),Vp=(Q,J)=>{let G=$I(Q,J);return uu(Q,[J[0]],G)},$I=(Q,J)=>{if(J.length>=3&&(!Q.session.isInitializer(J[1].dataId)||!Q.session.isInitializer(J[2].dataId)))throw Error("dynamic clip attributes are not allowed");let G=J.length>=3?J[1].numberData[0]:Yn,H=J.length>=3?J[2].numberData[0]:er;return se({min:G,max:H})},Gp=(Q,J)=>[Q.run(ze(Q,J[0],dI()),J)],Up=(Q,J)=>[Q.run(ze(Q,J[0],pI()),J)],Wp=(Q,J,G)=>[Q.run(ze(Q,J[0],fI(G.alpha),G.cacheKey),J)],Hp=(Q)=>se({alpha:Q.attributes.getFloat("alpha",1)}),qp=(Q,J)=>[Q.run(ze(Q,J[0],hI()),J)],jp=(Q,J)=>[Q.run(ze(Q,J[0],mI()),J)],lu=(Q,J)=>[Q.run(ze(Q,J[0],gI()),J)],Kp=(Q,J,G)=>[Q.run(ze(Q,J[0],bI(G.alpha),G.cacheKey),J)],Xp=(Q)=>se({alpha:Q.attributes.getFloat("alpha",0.01)}),Zp=(Q,J)=>[Q.run(ze(Q,J[0],yI()),J)],Jp=(Q,J)=>[Q.run(ze(Q,J[0],_I()),J)],Qp=(Q,J)=>[Q.run(ze(Q,J[0],xI()),J)],Yp=(Q,J)=>[Q.run(ze(Q,J[0],au()),J)],ef=(Q,J)=>[Q.run(ze(Q,J[0],su()),J)],tf=(Q,J)=>[Q.run(ze(Q,J[0],wI()),J)],nf=(Q,J)=>[Q.run(ze(Q,J[0],TI()),J)],rf=(Q,J)=>[Q.run(ze(Q,J[0],vI()),J)],of=(Q,J)=>[Q.run(ze(Q,J[0],II()),J)]});function fn(Q){let J;switch(Q.activation){case"Relu":J=au();break;case"Sigmoid":J=su();break;case"Clip":J=iu(Q.clipMin,Q.clipMax);break;default:return{activationFunction:"",applyActivation:""}}let{name:G,body:H}=J,K=`value = ${G}_(value);`;return{activationFunction:H,applyActivation:K}}var wr,rr=$(()=>{xe(),cu(),wr=(Q)=>{let J=Q.getString("activation","");if(J==="Clip"){let[G,H]=Q.getFloats("activation_params",[Yn,er]);return{activation:J,clipMax:H,clipMin:G,activationCacheKey:`${J}:${G},${H}`}}return{activation:J,activationCacheKey:J}}}),PI,OI,af,sf=$(()=>{ct(),De(),pe(),jo(),rr(),PI=(Q,J)=>({name:"GroupedConv",inputNames:Q?["X","W","Bias"]:["X","W"],inputTypes:Q?[0,0,0]:[0,0],cacheHint:J}),OI=(Q,J,G,H)=>{let K=J.length>2?"value += getBias(output_channel);":"",z=J[0].dims.slice(),q=J[1].dims.slice(),F=q[0]/H.group;Te.verbose("GroupedConv",`autpPad:${H.autoPad}, dilations:${H.dilations}, group:${H.group}, kernelShape:${H.kernelShape}, pads:${H.pads}, strides:${H.strides}`);let D=Tr(z,q,H.dilations,H.pads,H.strides),V=j(Q.session.backend.glContext.version),{activationFunction:O,applyActivation:P}=fn(H),N=`
  const ivec2 strides = ivec2(${H.strides[0]}, ${H.strides[1]});
  const ivec2 pads = ivec2(${H.pads[0]}, ${H.pads[1]});
  ${O}
  void main() {
    ivec4 coords = getOutputCoords();
    int batch = coords.x;
    int output_channel = coords.y;
    ivec2 xRCCorner = coords.zw * strides - pads;
    int group_id = output_channel / ${F};

    float value = 0.0;
    for (int wInChannel = 0; wInChannel < ${q[1]}; wInChannel++) {
      int input_channel = group_id * ${q[1]} + wInChannel;
      for (int wHeight = 0; wHeight < ${q[2]}; wHeight++) {
        int xHeight = xRCCorner.x + wHeight * ${H.dilations[0]};

        if (xHeight < 0 || xHeight >= ${z[2]}) {
          continue;
        }

        for (int wWidth = 0; wWidth < ${q[3]}; wWidth++) {
          int xWidth = xRCCorner.y + wWidth * ${H.dilations[1]};
          if (xWidth < 0 || xWidth >= ${z[3]}) {
            continue;
          }

          float xVal = getX(batch, input_channel, xWidth, xHeight);
          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
          value += xVal*wVal;
        }
      }
    }
    ${K}
    ${P}
    ${V.output} = vec4(value, .0, .0, .0);
  }
`;return{...G,output:{dims:D,type:J[0].type,textureType:0},shaderSource:N,hasMain:!0}},af=(Q,J,G)=>{let H=PI(J.length>2,G.cacheKey);return{...H,get:()=>OI(Q,J,H,G)}}}),EI,CI,uf,lf=$(()=>{De(),pe(),nr(),EI=(Q)=>({name:"Im2Col (packed)",inputNames:["A"],inputTypes:[2],cacheHint:Q}),CI=(Q,J,G,H,K,z)=>{let q=G.dims,F=H.dims,D=2,V=3,O=K.length,P=[F[1]*F[2]*F[3],K[2]*K[3]],N=F[2]*F[3],I=pn(),R=j(Q.session.backend.glContext.version),w="";for(let T=0;T<=1;T++)for(let y=0;y<=1;y++)w+=`
            blockIndex = rc.x + ${y};
            pos = rc.y + ${T};

            if(blockIndex < ${P[1]} && pos < ${P[0]}) {
              offsetY = int(blockIndex / (${K[O-1]})) * ${z.strides[0]} -
                ${z.pads[0]};
              d0 = offsetY + ${z.dilations[0]} * (imod(pos, ${N}) / ${F[2]});

              if(d0 < ${q[D]} && d0 >= 0) {
                offsetX = imod(blockIndex, ${K[O-1]}) * ${z.strides[1]} -
                  ${z.pads[1]};
                d1 = offsetX + ${z.dilations[1]} * imod(imod(pos, ${N}), ${F[2]});

                if(d1 < ${q[V]} && d1 >= 0) {

                  ch = int(float(pos)/ ${N}.);
                    innerDims = vec2(d0, d1);
                    result[${T*2+y}] = getChannel(
                      getA(0, ch, int(innerDims.x),
                      int(innerDims.y)), innerDims);
                }
              }
            }

          `;let E=`
      ${I}

      void main() {
        ivec2 rc = getOutputCoords();
          vec4 result = vec4(0.0);
          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
          vec2 innerDims;
          ${w}
          ${R.output} = result;
      }
            `;return{...J,output:{dims:P,type:G.type,textureType:2},shaderSource:E,hasMain:!0}},uf=(Q,J,G,H,K)=>{let z=EI(K.cacheKey);return{...z,get:()=>CI(Q,z,J,G,H,K)}}});function kI(Q,J,G){let H=J[0].dims,K=J[1].dims,z=Qe.calcShape(H,K,!0);if(!z)throw Error("Can't use matmul on the given tensors");let q=Ye(z.length),F=$t(),{activationFunction:D,applyActivation:V}=fn(G),O=J.length>2,P=O?"value += getBiasForMatmul();":"",N=O?`${pu(q,F,J[2].dims,z,!1)}`:"",I=z.length,R=H.length,w=K.length,E=H[H.length-1],T=`
    ${D}
    ${N}
    float process(int indices[${I}]) {
        int a[${R}];
        int b[${w}];
        bcastMatmulIndices_A(indices, a);
        bcastMatmulIndices_B(indices, b);

        float value;
        for (int k=0; k<${E}; ++k) {
            a[${R-1}] = k;
            b[${w-2}] = k;
            value += _A(a) * _B(b);
        }
        ${P}
        ${V}
        return value;
    }`;return{...Q,output:{dims:z,type:J[0].type,textureType:0},shaderSource:T}}function du(Q,J){let G=DI(Q.length>2,J.activationCacheKey);return{...G,get:()=>kI(G,Q,J)}}function pu(Q,J,G,H,K){let z="",q=G.length,F=H.length,D=F-q;F<2&&q>0?z="coords":z=G.map((N,I)=>`coords.${J[I+D]}`).join(", ");let V=Qe.getBroadcastDims(G,H).map((N)=>`coords.${J[N+D]} = 0;`).join(`
`),O=U.size(G)===1,P="vec4(outputValue.xx, outputValue.yy)";return O&&(P="vec4(outputValue.x)"),K?`
vec4 getBiasForMatmul() {
  ${Q} coords = getOutputCoords();
  ${V}
  vec4 outputValue = getBias(${z});
  return ${P};
}`:`
float getBiasForMatmul() {
  ${Q} coords = getOutputCoords();
  ${V}
  return getBias(coords.x);
}`}var cf,df,DI,LI,Ko=$(()=>{xe(),pe(),dn(),rr(),fu(),cf=(Q,J,G)=>(LI(J),Q.session.pack?[Q.run(Xo(Q,J,G),J)]:[Q.run(du(J,G),J)]),df=(Q)=>wr(Q.attributes),DI=(Q,J)=>({name:"MatMul",inputNames:Q?["A","B","Bias"]:["A","B"],inputTypes:Q?[0,0,0]:[0,0],cacheHint:J}),LI=(Q)=>{if(!Q||Q.length!==2)throw Error("MatMul requires 2 inputs.");if(Q[0].dims[Q[0].dims.length-1]!==Q[1].dims[Q[1].dims.length-2])throw Error("shared dimension does not match.");if(Q[0].type!=="float32"&&Q[0].type!=="float64"||Q[1].type!=="float32"&&Q[1].type!=="float64")throw Error("inputs should be float type");if(Q[0].type!==Q[1].type)throw Error("inputs types should match")}});function zI(Q,J,G,H){let K=[],z=[],q=G[0].dims,F=G[1].dims,D=q.length,V=F.length,O=H.length,P=O-D,N=O-V;K=q.map((y,x)=>`coords.${J[x+P]}`),K[D-1]="i*2",K.join(", "),z=F.map((y,x)=>`coords.${J[x+N]}`),z[V-2]="i*2",z.join(", ");let I=Qe.getBroadcastDims(q,H),R=Qe.getBroadcastDims(F,H),w=I.map((y)=>`coords.${J[y+P]} = 0;`).join(`
`),E=R.map((y)=>`coords.${J[y+N]} = 0;`).join(`
`),T=`int lastDim = coords.${J[O-1]};
  coords.${J[O-1]} = coords.${J[O-2]};
  coords.${J[O-2]} = lastDim;`;return`
vec4 getAAtOutCoordsMatmul(int i) {
  ${Q} coords = getOutputCoords();
  ${T}
  ${w}
  vec4 outputValue = getA(${K});
  return outputValue;
}

vec4 getBAtOutCoordsMatmul(int i) {
  ${Q} coords = getOutputCoords();
  ${T}
  ${E}
  vec4 outputValue = getB(${z});
  return outputValue;
}`}function MI(Q,J){let G="";for(let H=0;H<J-2;H++)G+=`rc.${Q[H]}, `;return G+=`rc.${Q[J-2]}, i*2`,G}function BI(Q,J){let G="";for(let H=0;H<J-2;H++)G+=`rc.${Q[H]}, `;return G+=`i*2, rc.${Q[J-1]}`,G}var RI,NI,Xo,fu=$(()=>{xe(),De(),pe(),dn(),rr(),Ko(),RI=(Q,J)=>({name:"MatMul (packed)",inputNames:Q?["A","B","Bias"]:["A","B"],inputTypes:Q?[2,2,2]:[2,2],cacheHint:J}),NI=(Q,J,G,H)=>{let K=G.length>2,z=K?"value += getBiasForMatmul();":"",q=G[0].dims,F=G[1].dims,D=Qe.calcShape(q,F,!0),V=!U.areEqual(G[0].dims,G[1].dims);if(!D)throw Error("Can't use matmul on the given tensors");let O=q[q.length-1],P=Math.ceil(O/2),N=q.length,I=F.length,R=j(Q.session.backend.glContext.version),w=Ye(D.length),E=D.length,T=$t(),{activationFunction:y,applyActivation:x}=fn(H),b=K?`${pu(w,T,G[2].dims,D,!0)}`:"",g=V?`${zI(w,T,G,D)}`:"",l=V?"getAAtOutCoordsMatmul(i)":`getA(${MI(T,N)})`,_=V?"getBAtOutCoordsMatmul(i)":`getB(${BI(T,I)})`,a=V?"":`${w} rc =
          getOutputCoords(); int lastDim = rc.${T[E-1]}; rc.${T[E-1]} =
          rc.${T[E-2]}; rc.${T[E-2]} = lastDim;
      `,r=`
            ${g}
            ${b}
            ${y}
            void main() {
              ${a}

              vec4 value = vec4(0);
              for (int i = 0; i < ${P}; i++) {
                vec4 a = ${l};
                vec4 b = ${_};

                value += (a.rrbb * b.rgrg);
                value += (a.ggaa * b.baba);
              }
              ${z}
              ${x}
              ${R.output} = value;
            }`;return{...J,output:{dims:D,type:G[0].type,textureType:2},shaderSource:r,hasMain:!0}},Xo=(Q,J,G)=>{let H=RI(J.length>2,G.activationCacheKey);return{...H,get:()=>NI(Q,H,J,G)}}}),pf,ff=$(()=>{jo(),lf(),fu(),pf=(Q,J,G)=>{let H=J[0].dims,K=J[1].dims,z=Tr(H,K,G.dilations,G.pads,G.strides),q=Q.run(uf(Q,J[0],J[1],z,G),[J[0]]),F=Q.reshapePacked(J[1],[K[0],K[1]*K[2]*K[3]]),D=J.length===3?[F,q,J[2]]:[F,q],V=Q.run(Xo(Q,D,G),D);return Q.reshapePacked(V,z)}}),FI,VI,hf,hu,mu=$(()=>{pe(),FI=(Q)=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:Q}),VI=(Q,J,G,H,K,z)=>{let q=G.dims,F=H.dims,D=K.length,V=hu(q,F,K,4),O=`
        const int XC = ${q[1]};
        const int XH = ${q[2]};
        const int XW = ${q[3]};
        const int KH = ${z.kernelShape[0]};
        const int KW = ${z.kernelShape[1]};
        const int dilationH = ${z.dilations[0]};
        const int dilationW = ${z.dilations[1]};
        const int strideH = ${z.strides[0]};
        const int strideW = ${z.strides[1]};
        const int padH = ${z.pads[0]};
        const int padW = ${z.pads[1]};
        const int KHKW = KH*KW;
        const int XCKHKW = XC * KHKW;
        const int outputChannels = 4;
        vec4 process(int indices[${D}]) {
          int b  = indices[0]; // batch size
          int oh = indices[1] * strideH - padH; //output height
          int ow = indices[2] * strideW - padW; //output width
          int p = indices[3] * outputChannels; //patch
          vec4 value = vec4(0.0);
          for(int i=0; i < outputChannels; ++i) {
            if(p < XCKHKW) {
              int patchC = p / KHKW;
              int patchH = (p - patchC*KHKW) / KW;
              int patchW = (p - patchC*KHKW) - patchH * KW;
              int xh2 = oh + patchH * dilationH;
              int xw2 = ow + patchW * dilationW;
              int x[${q.length}];
              x[0] = b;
              x[1] = patchC;
              x[2] = xh2;
              x[3] = xw2;
              if(xh2 >= 0 &&
                  xh2 < XH &&
                  xw2 >= 0 &&
                  xw2 < XW) {
                value[i] = _X(x);
              }
            }
            ++p;
          }
          return value;
        }
        `;return{...J,output:{dims:V,type:G.type,textureType:4},shaderSource:O}},hf=(Q,J,G,H,K)=>{let z=FI(K.cacheKey);return{...z,get:()=>VI(Q,z,J,G,H,K)}},hu=(Q,J,G,H=4)=>[G[0],G[2],G[3],Math.ceil(Q[1]*J[2]*J[3]/H)]}),GI,UI,mf,gf=$(()=>{xe(),De(),pe(),rr(),mu(),GI=(Q,J)=>({name:"ConvDotProduct",inputNames:Q?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:Q?[0,4,0]:[0,4],cacheKey:J.activationCacheKey}),UI=(Q,J,G,H,K)=>{let z=G[0].dims,q=G[1].dims,F=[q[0],Math.ceil(z[1]*q[2]*q[3]/4)],D=hu(z,q,H),[V,O]=Q.calculateTextureWidthAndHeight(F,4),P=U.computeStrides(D),[N,I]=Q.calculateTextureWidthAndHeight(D,4),R=H.length,w=G.length<3?"0.0":"_B(b)",E=Math.ceil(z[1]*q[2]*q[3]/4),{activationFunction:T,applyActivation:y}=fn(K),x=j(Q.session.backend.glContext.version),b=`
${T}
float process(int indices[${R}]) {
  int b[1];
  b[0] = indices[1];
  int im2col[4];
  im2col[0] = indices[0];
  im2col[1] = indices[2];
  im2col[2] = indices[3];
  int im2colOffset = im2col[0] * ${P[0]} + im2col[1] * ${P[1]} + im2col[2] * ${P[2]};
  int kernelOffset = indices[1] * ${F[1]};
  float value = ${w};
  for (int i = 0; i < ${E}; ++i) {
    vec2 im2colCoords = offsetToCoords(im2colOffset, ${N}, ${I});
    vec2 kernelCoords = offsetToCoords(kernelOffset, ${V}, ${O});
    value += dot(${x.texture2D}(Im2Col, im2colCoords), ${x.texture2D}(K, kernelCoords));
    ++im2colOffset;
    ++kernelOffset;
  }
  ${y}
  return value;
}`;return{...J,output:{dims:H,type:G[0].type,textureType:0},shaderSource:b}},mf=(Q,J,G,H)=>{let K=GI(J.length>2,H);return{...K,get:()=>UI(Q,K,J,G,H)}}}),Tr,gu,WI,HI,qI,jI,bu,KI,jo=$(()=>{We(),xe(),sf(),ff(),gf(),rr(),mu(),Ko(),Tr=(Q,J,G,H,K)=>{let z=Q[0],q=Q.slice(2),F=q.length,D=J[0],V=J.slice(2).map((P,N)=>P+(P-1)*(G[N]-1)),O=q.map((P,N)=>P+H[N]+H[N+F]).map((P,N)=>Math.floor((P-V[N]+K[N])/K[N]));return[z,D].concat(...O)},gu=(Q,J,G)=>(KI(J,G),WI(Q,J,G)),WI=(Q,J,G)=>{let H=jI(G,J),K=Q.session.pack,z=H.kernelShape[0]===1&&H.kernelShape[1]===1;return H.group>1?[Q.run(af(Q,J,H),J)]:z&&K?[HI(Q,J,H)]:K&&J[0].dims.length===4&&J[0].dims[0]===1&&!z?[pf(Q,J,H)]:[qI(Q,J,H)]},HI=(Q,J,G)=>{let H=J[0].dims,K=J[1].dims,z=Tr(H,K,G.dilations,G.pads,G.strides),q=Q.reshapeUnpacked(J[0],[H[1],H[2]*H[3]]),F=Q.reshapeUnpacked(J[1],[K[0],K[1]]),D=J.length>2?[F,q,J[2]]:[F,q],V=Q.run(du(D,G),D);return Q.reshapeUnpacked(V,z)},qI=(Q,J,G)=>{let H=J[0].dims,K=J[1].dims,z=Tr(H,K,G.dilations,G.pads,G.strides),q=Q.run(hf(Q,J[0],J[1],z,G),[J[0]]),F=J.length===3?[q,J[1],J[2]]:[q,J[1]];return Q.run(mf(Q,J,z,G),F)},jI=(Q,J)=>{let G=Q.kernelShape.slice();if(Q.kernelShape.length===0)for(let z=2;z<J[1].dims.length;++z)G.push(J[1].dims[z]);let H=Q.pads.slice();Qn.adjustPadsBasedOnAutoPad(J[0].dims,Q.strides,Q.dilations,G,H,Q.autoPad);let K=Object.assign({},Q);return Object.assign(K,{kernelShape:G,pads:H,cacheKey:Q.cacheKey}),K},bu=(Q)=>{let J=Q.attributes,G=wr(J),H=J.getString("auto_pad","NOTSET"),K=J.getInts("dilations",[1,1]),z=J.getInt("group",1),q=J.getInts("kernel_shape",[]),F=J.getInts("pads",[0,0,0,0]),D=J.getInts("strides",[1,1]);return se({autoPad:H,dilations:K,group:z,kernelShape:q,pads:F,strides:D,...G})},KI=(Q,J)=>{if(!Q||Q.length!==2&&Q.length!==3)throw Error("Conv requires 2 or 3 inputs");if(Q[0].dims.length!==4||Q[1].dims.length!==4)throw Error("currently only support 2-dimensional conv");let G=Q[0].dims[1],H=Q[1].dims[1]*J.group;if(G!==H)throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(Q.length===3&&(Q[2].dims.length!==1||Q[1].dims[0]!==Q[2].dims[0]))throw Error("invalid bias");let K=Q[0].dims.length-2;if(J.dilations.length!==K)throw Error(`dilations should be ${K}D`);if(J.strides.length!==K)throw Error(`strides should be ${K}D`);if(J.pads.length!==K*2)throw Error(`pads should be ${K*2}D`);if(J.kernelShape.length!==0&&J.kernelShape.length!==Q[1].dims.length-2)throw Error("invalid kernel shape");if(Q[0].type!=="float32"||Q[1].type!=="float32")throw Error("Conv input(X,W) should be float tensor");if(Q.length===3&&Q[2].type!=="float32")throw Error("Conv input(bias) should be float tensor")}}),XI,ZI,JI,bf,QI,YI,e2,t2,n2,r2,yf,o2,_f=$(()=>{We(),De(),pe(),rr(),XI=(Q,J,G,H,K,z)=>(Q-1)*J+G+(H-1)*K+1-z,ZI=(Q,J,G,H,K)=>{let z=Math.floor(Q/2);J==="SAME_UPPER"?(G[H]=z,G[K]=Q-z):J==="SAME_LOWER"&&(G[H]=Q-z,G[K]=z)},JI=(Q,J,G,H,K,z,q,F)=>{let D=Q.length-2,V=F.length===0;for(let O=0;O<D;++O){let P=V?Q[O+2]*z[O]:F[O],N=XI(Q[O+2],z[O],K[O],J[O],G[O],P);ZI(N,H,K,O,O+D),V&&F.push(z[O]*(Q[O+2]-1)+q[O]+(J[O]-1)*G[O]+1-K[O]-K[O+D])}},bf=(Q,J,G)=>(o2(J,G),QI(Q,J,G)),QI=(Q,J,G)=>{let H=r2(G,J);return[n2(Q,J,H)]},YI=(Q,J)=>({name:"ConvTranspose",inputNames:Q?["X","W","B"]:["X","W"],inputTypes:Q?[0,0,0]:[0,0],cacheHint:J}),e2=(Q,J,G,H)=>{let K=J.length>2?"getB(output_channel)":"0.0",z=J[0].dims,q=J[1].dims,F=q[1],D=q[0]/H.group,V=[J[0].dims[0],J[1].dims[1]*H.group,...H.outputShape],O=j(Q.session.backend.glContext.version),{activationFunction:P,applyActivation:N}=fn(H),I=`
  const ivec2 strides = ivec2(${H.strides[0]}, ${H.strides[1]});
  const ivec2 pads = ivec2(${H.pads[0]}, ${H.pads[1]});
  ${P}
  void main() {
    ivec4 coords = getOutputCoords();
    int batch = coords.x;
    int output_channel = coords.y;

    ivec2 loc = coords.zw + pads;

    int group_id = output_channel / ${F};
    int wOutChannel = output_channel - group_id * ${F};

    float value = ${K};
    for (int inChannelOffset = 0; inChannelOffset < ${D}; inChannelOffset++) {
      int input_channel = group_id * ${D} + inChannelOffset;
      for (int wWOff = 0; wWOff < ${q[2]}; wWOff++) {
        for (int wHOff = 0; wHOff < ${q[3]}; wHOff++) {
          ivec2 wOff = ivec2(wWOff * ${H.dilations[0]}, wHOff * ${H.dilations[1]});
          ivec2 wLoc = loc - wOff;
          ivec2 wLocIn = wLoc / strides;
          if (
            wLocIn * strides == wLoc &&
            wLocIn.x >= 0 && wLocIn.x < ${z[2]} &&
            wLocIn.y >= 0 && wLocIn.y < ${z[3]}
          ) {
            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
            value += xVal * wVal;
          }
        }
      }
    }
    ${N}
    ${O.output} = vec4(value, .0, .0, .0);
  }
`;return{...G,output:{dims:V,type:J[0].type,textureType:0},shaderSource:I,hasMain:!0}},t2=(Q,J,G)=>{let H=YI(J.length>2,G.cacheKey);return{...H,get:()=>e2(Q,J,H,G)}},n2=(Q,J,G)=>Q.run(t2(Q,J,G),J),r2=(Q,J)=>{let G=Q.kernelShape.slice();if(Q.kernelShape.length===0)for(let F=2;F<J[1].dims.length;++F)G.push(J[1].dims[F]);let H=Q.pads.slice(),K=Q.outputShape.slice(),z=J[0].dims;JI(z,G,Q.dilations,Q.autoPad,H,Q.strides,Q.outputPadding,K);let q=Object.assign({},Q);return Object.assign(q,{kernelShape:G,pads:H,outputShape:K,cacheKey:Q.cacheKey}),q},yf=(Q)=>{let J=Q.attributes,G=wr(J),H=J.getString("auto_pad","NOTSET"),K=J.getInts("dilations",[1,1]),z=J.getInt("group",1),q=J.getInts("kernel_shape",[]),F=J.getInts("output_padding",[0,0]),D=J.getInts("output_shape",[]),V=J.getInts("pads",[0,0,0,0]),O=J.getInts("strides",[1,1]);return se({autoPad:H,dilations:K,group:z,kernelShape:q,outputPadding:F,outputShape:D,pads:V,strides:O,...G})},o2=(Q,J)=>{if(!Q||Q.length!==2&&Q.length!==3)throw Error("Conv requires 2 or 3 inputs");if(Q[0].dims.length!==4||Q[1].dims.length!==4)throw Error("currently only support 2-dimensional conv");let G=Q[0].dims[1],H=Q[1].dims[0];if(G!==H)throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let K=Q[1].dims[1]*J.group;if(Q.length===3&&(Q[2].dims.length!==1||Q[2].dims[0]!==K))throw Error("invalid bias");let z=Q[0].dims.length-2;if(J.dilations.length!==z)throw Error(`dilations should be ${z}D`);if(J.strides.length!==z)throw Error(`strides should be ${z}D`);if(J.pads.length!==z*2)throw Error(`pads should be ${z*2}D`);if(J.outputPadding.length!==z)throw Error(`output_padding should be ${z}D`);if(J.kernelShape.length!==0&&J.kernelShape.length!==Q[1].dims.length-2)throw Error("invalid kernel shape");if(J.outputShape.length!==0&&J.outputShape.length!==Q[0].dims.length-2)throw Error("invalid output shape");if(Q[0].type!=="float32"||Q[1].type!=="float32")throw Error("ConvTranspose input(X,W) should be float tensor");if(Q.length===3&&Q[2].type!=="float32")throw Error("ConvTranspose input(bias) should be float tensor")}}),xf,or,wf,i2,Tf,a2,s2,u2,Zo=$(()=>{We(),xe(),pe(),xf={name:"Transpose",inputNames:["A"],inputTypes:[0]},or=(Q,J,G)=>(u2(J),[Q.run({...xf,cacheHint:G.cacheKey,get:()=>i2(Q,J[0],G.perm)},J)]),wf=(Q)=>se({perm:Q.attributes.getInts("perm",[])}),i2=(Q,J,G)=>{let H=J.dims;G=Tf(H,G);let K=a2(H,G),z=H.length,q=`
      ${s2("perm",G,z)}
      float process(int indices[${z}]) {
        int a[${z}];
        perm(a, indices);
        return _A(a);
      }`;return{...xf,output:{dims:K,type:J.type,textureType:0},shaderSource:q}},Tf=(Q,J)=>(J&&J.length!==Q.length&&(J=[...Q.keys()].reverse()),J),a2=(Q,J)=>(J=Tf(Q,J),U.sortBasedOnPerm(Q,J)),s2=(Q,J,G)=>{let H=[];H.push(`void ${Q}(out int a[${G}], int src[${G}]) {`);for(let K=0;K<G;++K)H.push(`	a[${J[K]}]=src[${K}];`);return H.push("\t}"),H.join(`
`)},u2=(Q)=>{if(!Q||Q.length!==1)throw Error("Transpose requires 1 input.");if(Q[0].type!=="float32"&&Q[0].type!=="float64")throw Error("input should be float tensor")}}),vf,If,l2,Sf=$(()=>{Zo(),vf=(Q,J,G)=>{l2(J);let H=G.blocksize,K=H*H,z=G.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],q=G.mode==="DCR"?[J[0].dims[0],H,H,J[0].dims[1]/K,J[0].dims[2],J[0].dims[3]]:[J[0].dims[0],J[0].dims[1]/K,H,H,J[0].dims[2],J[0].dims[3]],F=Q.reshapeUnpacked(J[0],q),D={perm:z,cacheKey:`${z}`},[V]=or(Q,[F],D),O=[J[0].dims[0],J[0].dims[1]/K,J[0].dims[2]*H,J[0].dims[3]*H];return[Q.reshapeUnpacked(V,O)]},If=(Q)=>{let J=Q.attributes.getInt("blocksize");if(J<1)throw Error(`blocksize must be >= 1, but got : ${J} for DepthToSpace`);let G=Q.attributes.getString("mode","DCR");if(G!=="DCR"&&G!=="CRD")throw Error(`unrecognized mode: ${G} for DepthToSpace`);return{mode:G,blocksize:J}},l2=(Q)=>{if(Q.length!==1)throw Error(`DepthToSpace expect 1 inputs, but got ${Q.length}`);if(Q[0].type==="string"||Q[0].dims.length!==4)throw TypeError("DepthToSpace input should be a 4-D numeric tensor")}}),$f,Af,c2,Pf=$(()=>{xe(),$f=(Q,J,G)=>{c2(J,G);let H=U.flattenShape(J[0].dims,G);return[Q.reshapeUnpacked(J[0],H)]},Af=(Q)=>Q.attributes.getInt("axis",1),c2=(Q,J)=>{if(!Q||Q.length!==1)throw Error("Flatten requires 1 input.");let G=Q[0].dims.length;if(G===0)throw Error("scalar tensor is not supported.");if(J<-G||J>G)throw Error("Invalid axis");if(Q[0].type==="string")throw Error("string tensor is not supported.")}}),zn,Xr=$(()=>{zn=["float32","float64","int32","int16","int8","uint16","uint32","uint8"]}),Of,Ef,d2,p2,f2,h2,Cf=$(()=>{We(),Xr(),xe(),pe(),Of=(Q,J,G)=>(h2(J,G.axis),[Q.run(f2(Q,J,G),J)]),Ef=(Q)=>se({axis:Q.attributes.getInt("axis",0)}),d2={name:"Gather",inputNames:["A","B"],inputTypes:[0,0]},p2=(Q,J,G,H)=>{let K=G[0].dims.slice(),z=G[1].dims.slice(),q=Array(K.length+z.length-1);H=U.normalizeAxis(H,K.length);let F=[];for(let N=0;N<q.length;N++)N<H?(q[N]=K[N],F.push(`inputIdx[${N}] = outputIdx[${N}];`)):N<H+z.length?(q[N]=z[N-H],F.push(`indexDataIdx[${N-H}] = outputIdx[${N}];`)):(q[N]=K[N-z.length+1],F.push(`inputIdx[${N-z.length+1}] = outputIdx[${N}];`));let D=q.length||1,V=K.length,O=z.length||1,P=`
      float process(int outputIdx[${D}]) {
        int inputIdx[${V}];
        int indexDataIdx[${O}];
        indexDataIdx[0] = 0;
        ${F.join(`
        `)}
        int idx = int(_B(indexDataIdx));
        inputIdx[${H}] = idx < 0 ? idx + ${K[H]} : idx;
        return _A(inputIdx);
      }`;return{...J,output:{dims:q,type:G[0].type,textureType:0},shaderSource:P}},f2=(Q,J,G)=>{let H={...d2,cacheHint:G.cacheKey};return{...H,get:()=>p2(Q,H,J,G.axis)}},h2=(Q,J)=>{if(!Q||Q.length!==2)throw Error("Gather requires 2 inputs.");let G=Q[0].dims.length;if(G<1)throw Error("Invalid input shape.");if(J<-G||J>G-1)throw Error("Invalid axis.");if(zn.indexOf(Q[0].type)===-1)throw Error("Invaid input type.");if(Q[1].type!=="int32"&&Q[1].type!=="int16")throw Error("Invaid input type.")}}),yu,Df,kf,Lf,m2,g2,b2,Rf=$(()=>{We(),xe(),pe(),yu=(Q,J,G)=>(b2(J,G),[Q.run(m2(J,G),J)]),Df=(Q,J)=>{let G=Q.attributes.getInt("transA",0)!==0,H=Q.attributes.getInt("transB",0)!==0,K=Q.attributes.getFloat("alpha",1),z=Q.attributes.getFloat("beta",1);return se({transA:G,transB:H,alpha:K,beta:z,isOptionalC:J})},kf=(Q)=>Df(Q,!1),Lf=(Q)=>Df(Q,!0),m2=(Q,J)=>{let G={name:"Gemm",inputNames:Q.length===3?["A","B","C"]:["A","B"],inputTypes:Q.length===3?[0,0,0]:[0,0],key:J.cacheKey};return{...G,get:()=>g2(G,Q,J)}},g2=(Q,J,G)=>{let H=J[0].dims.slice(),K=J[1].dims.slice(),[z,q]=Bo.getShapeOfGemmResult(H,G.transA,K,G.transB,J.length===3?J[2].dims:void 0),F=[z,q];if(!F)throw Error("Can't use gemm on the given tensors");let D=H[H.length-1],V="";G.transA&&(D=H[0]),G.transA&&G.transB?V="value += _A_T(a) * _B_T(b);":G.transA&&!G.transB?V="value += _A_T(a) * _B(b);":!G.transA&&G.transB?V="value += _A(a) * _B_T(b);":!G.transA&&!G.transB&&(V="value += _A(a) * _B(b);");let O=F.length,P=J.length===3?`int c[${J[2].dims.length}];`:"",N=J.length===3?"bcastIndices_C(indices, c);":"",I=J.length===3?"value += beta * _C(c);":"",R=`
      float process(int indices[${O}]) {
          int a[${O}];
          int b[${O}];
          ${P}

          copyVec(indices, a);
          copyVec(indices, b);
          ${N}

          float value = 0.0;
          for (int k=0; k<${D}; ++k) {
              a[${O-1}] = k;
              b[${O-2}] = k;
              ${V}
          }

          value = value * alpha;
          ${I}
          return value;
      }`;return{...Q,output:{dims:F,type:J[0].type,textureType:0},variables:[{name:"alpha",type:"float",data:G.alpha},{name:"beta",type:"float",data:G.beta}],shaderSource:R}},b2=(Q,J)=>{if(!Q)throw Error("Input is missing");if(J.isOptionalC&&(Q.length<2||Q.length>3))throw Error("Invaid input shape.");if(!J.isOptionalC&&Q.length!==3)throw Error("Gemm requires 3 inputs");if(Q.length===3&&Q[2].dims.length!==1&&Q[2].dims.length!==2)throw Error("Invalid input shape of C");if(Q[0].type!=="float32"&&Q[0].type!=="float64"||Q[1].type!=="float32"&&Q[1].type!=="float64"||Q.length===3&&Q[2].type!=="float32"&&Q[2].type!=="float64")throw Error("Invalid input type.");if(Q[0].type!==Q[1].type||Q.length===3&&Q[0].type!==Q[2].type)throw Error("Input types are mismatched")}}),Nf,zf,y2,_2,x2,w2,T2,Mf=$(()=>{We(),pe(),Nf=(Q,J,G)=>(T2(J),[Q.run(x2(Q,J,G),J)]),zf=(Q)=>{let J=Q.attributes.getFloat("scale"),G=Q.attributes.getFloats("bias");return se({scale:J,bias:G})},y2={name:"ImageScaler",inputNames:["X"],inputTypes:[0]},_2=(Q,J,G,H)=>{let K=G[0].dims.slice(),z=K.length,q=`
      ${w2(H.bias.length)}
      float process(int indices[${z}]) {
        return _X(indices) * scale + getBias(bias, indices[1]);
      }`;return{...J,output:{dims:K,type:G[0].type,textureType:0},variables:[{name:"bias",type:"float",arrayLength:H.bias.length,data:H.bias},{name:"scale",type:"float",data:H.scale}],shaderSource:q}},x2=(Q,J,G)=>{let H={...y2,cacheHint:G.cacheKey};return{...H,get:()=>_2(Q,H,J,G)}},w2=(Q)=>{let J=[`float getBias(float bias[${Q}], int channel) {`];for(let G=0;G<Q;++G)G===0?J.push(`	if (channel == ${G}) { return bias[${G}]; }`):G===Q-1?J.push(`	else { return bias[${G}]; }`):J.push(`	else if (channel == ${G}) { return bias[${G}]; }`);return J.push("\t}"),J.join(`
`)},T2=(Q)=>{if(!Q||Q.length!==1)throw Error("ImageScaler requires 1 input.");if(Q[0].dims.length!==4)throw Error("Invalid input shape.");if(Q[0].type!=="float32"&&Q[0].type!=="float64")throw Error("Invalid input type.")}}),Ff,Vf,Bf,v2,I2,S2,$2,A2,P2,Gf=$(()=>{De(),pe(),Ff=(Q,J,G)=>{P2(J);let H=Q.run(I2(J[0]),J);return[Q.run(A2(Q,J[0],G,H.dims),[J[0],H,J[1],J[2]])]},Vf=(Q)=>Q.attributes.getFloat("epsilon",0.00001),Bf={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[0]},v2=(Q,J)=>{let G=J.dims.slice(),H=G[1],K=G[2]*G[3],z=[G[0],H],q=`
      vec4 process(int[2] indices) {
        vec4 v = vec4(0.0);
        int a[4];
        a[0] = indices[0];
        a[1] = indices[1];
        float temp = 0.0;
        for(int a2=0; a2<${G[2]}; a2++) {
          a[2] = a2;
          for(int a3=0; a3<${G[3]}; a3++) {
            a[3] = a3;
            float x = _X(a);
            temp += x;
          }
        }
        float mean = temp / float(${K});
        temp = 0.0;
        for(int a2=0; a2<${G[2]}; a2++) {
          a[2] = a2;
          for(int a3=0; a3<${G[3]}; a3++) {
            a[3] = a3;
            float x = _X(a);
            temp += (x - mean) * (x - mean);
          }
        }
        v.r = mean;
        v.g = temp / float(${K});

        return v;
      }`;return{...Q,output:{dims:z,type:J.type,textureType:4},shaderSource:q}},I2=(Q)=>({...Bf,get:()=>v2(Bf,Q)}),S2={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[0,4,0,0]},$2=(Q,J,G,H,K)=>{let z=j(Q.session.backend.glContext.version),[q,F]=Q.calculateTextureWidthAndHeight(K,4),[D,V]=[q/4,F],O=`
      vec4 get_MeanAndVariance(int[2] mv) {
        int offset = indicesToOffset_MeanAndVariance(mv);
        vec2 coords = offsetToCoords(offset, ${D}, ${V});
        return ${z.texture2D}(MeanAndVariance, coords);
      }

      float process(int[4] indices) {
        int mv[2];
        mv[0] = indices[0];
        mv[1] = indices[1];
        vec4 mean_and_variance = get_MeanAndVariance(mv);
        float mean = mean_and_variance.r;
        float variance = mean_and_variance.g;

        int sb[1];
        sb[0] = indices[1];
        float scale = _Scale(sb);
        float b = _B(sb);

        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;
      }`;return{...J,output:{dims:G.dims,type:G.type,textureType:0},variables:[{name:"epsilon",type:"float",data:H}],shaderSource:O}},A2=(Q,J,G,H)=>{let K={...S2,cacheHint:`${G}`};return{...K,get:()=>$2(Q,K,J,G,H)}},P2=(Q)=>{if(!Q||Q.length!==3)throw Error("InstanceNormalization requires 3 inputs.");let J=Q[0],G=Q[1],H=Q[2];if(J.dims.length<3||G.dims.length!==1||H.dims.length!==1)throw Error("Invalid input shape.");if(G.dims[0]!==J.dims[1]||H.dims[0]!==J.dims[1])throw Error("Input shapes are mismatched.");if(J.type!=="float32"&&J.type!=="float64"||G.type!=="float32"&&G.type!=="float64"||H.type!=="float32"&&H.type!=="float64")throw Error("Invalid input type.");if(Q[0].dims.length!==4)throw Error("Only support 4-D input shape.")}});function O2(Q,J){let G=Q[0].dims[1],H=Q[0].dims.length,K=-Math.floor((J.size-1)/2),z=Math.ceil((J.size-1)/2),q=`float(${J.alpha}) / float(${J.size})`,F=`float(${J.bias})`,D=`float(${J.beta})`,V=`
    float process(int indices[${H}]) {
        int c = indices[1];
        float x = _X(indices);
        float square_sum = 0.0;

        for (int i = ${K}; i <= ${z}; i++) {
          int idx = c + i;
          if (c >= 0 && c < ${G}) {
            indices[1] = idx;
            float j = _X(indices);
            square_sum += j * j;
          }
        }
        return x / pow(${F} + ${q} * square_sum, ${D});
    }`;return{...Hf,cacheHint:J.cacheKey,output:{dims:Q[0].dims,type:Q[0].type,textureType:0},shaderSource:V}}function E2(Q,J){return{...Hf,cacheHint:J.cacheKey,get:()=>O2(Q,J)}}var Uf,Wf,Hf,C2,qf=$(()=>{We(),pe(),Uf=(Q,J,G)=>(C2(J),[Q.run(E2(J,G),J)]),Wf=(Q)=>{let J=Q.attributes.getFloat("alpha",0.0001),G=Q.attributes.getFloat("beta",0.75),H=Q.attributes.getFloat("bias",1),K=Q.attributes.getInt("size");return se({alpha:J,beta:G,bias:H,size:K})},Hf={name:"LRN",inputNames:["X"],inputTypes:[0]},C2=(Q)=>{if(!Q||Q.length!==1)throw Error("LRN requires 1 input.");if(Q[0].dims.length!==4)throw Error('currently only support LRN for input with "NCHW" format');if(Q[0].type!=="float32")throw Error("input should be float type")}}),D2,_u,jf,Kf,Xf,k2,L2,R2,N2,z2,M2,B2,F2,Zf=$(()=>{We(),xe(),De(),pe(),D2={name:"Pad",inputNames:["A"],inputTypes:[0]},_u=(Q,J,G)=>(R2(J),[Q.run({...D2,cacheHint:G.cacheKey,get:()=>L2(Q,J[0],G)},J)]),jf=(Q)=>{let J=Q.attributes.getString("mode","constant"),G=Q.attributes.getFloat("value",0),H=Q.attributes.getInts("pads");return se({mode:J,value:G,pads:H})},Kf=(Q,J,G)=>{N2(J);let H=k2(Q,J,G);return _u(Q,[J[0]],H)},Xf=(Q)=>Q.attributes.getString("mode","constant"),k2=(Q,J,G)=>{if(!Q.session.isInitializer(J[1].dataId)||J.length>=3&&!Q.session.isInitializer(J[2].dataId))throw Error("dynamic pad attributes are not allowed");let H=Array.from(J[1].integerData),K=J.length>=3?J[2].floatData[0]:0;return se({mode:G,pads:H,value:K})},L2=(Q,J,G)=>{let H=U.padShape(J.dims.slice(),G.pads),K=H.length,z=`
      ${z2(Q,J,G)}
      float process(int[${K}] indices) {
          return padA(indices);
      }`;return{name:"Pad",inputNames:["A"],inputTypes:[0],output:{dims:H,type:J.type,textureType:0},shaderSource:z}},R2=(Q)=>{if(!Q||Q.length!==1)throw Error("Pad requires 1 input");if(Q[0].type!=="float32"&&Q[0].type!=="float64")throw Error("Invalid input type.")},N2=(Q)=>{if(!Q||Q.length!==2&&Q.length!==3)throw Error("Pad requires 2 or 3 inputs");if(Q[1].type!=="int32")throw Error("Invalid input type.");if(Q.length>=3&&Q[2].type==="string")throw Error("Invalid input type.")},z2=(Q,J,G)=>{let H=j(Q.session.backend.glContext.version),[K,z]=Q.calculateTextureWidthAndHeight(J.dims,0),q=U.computeStrides(J.dims);switch(G.mode){case"constant":return M2(H,J.dims,q,K,z,G.pads,G.value);case"reflect":return B2(H,J.dims,q,K,z,G.pads);case"edge":return F2(H,J.dims,q,K,z,G.pads);default:throw Error("Invalid mode")}},M2=(Q,J,G,H,K,z,q)=>{let F=J.length,D="";for(let V=F-1;V>=0;--V)D+=`
        k = m[${V}] - ${z[V]};
        if (k < 0)  return constant;
        if (k >= ${J[V]}) return constant;
        offset += k * ${G[V]};
        `;return`
      float padA(int m[${F}]) {
        const float constant = float(${q});
        int offset = 0;
        int k = 0;
        ${D}
        vec2 coords = offsetToCoords(offset, ${H}, ${K});
        float value = getColorAsFloat(${Q.texture2D}(A, coords));
        return value;
      }
      `},B2=(Q,J,G,H,K,z)=>{let q=J.length,F="";for(let D=q-1;D>=0;--D)F+=`
        k = m[${D}] - ${z[D]};
        if (k < 0) { k = -k; }
        {
          const int _2n_1 = ${2*(J[D]-1)};
          k = int( mod( float(k), float(_2n_1) ) ) ;
          if(k >= ${J[D]}) { k = _2n_1 - k; }
        }
        offset += k * ${G[D]};
        `;return`
      float padA(int m[${q}]) {
        int offset = 0;
        int k = 0;
        ${F}
        vec2 coords = offsetToCoords(offset, ${H}, ${K});
        float value = getColorAsFloat(${Q.texture2D}(A, coords));
        return value;
      }
      `},F2=(Q,J,G,H,K,z)=>{let q=J.length,F="";for(let D=q-1;D>=0;--D)F+=`
        k = m[${D}] - ${z[D]};
        if (k < 0)  k = 0;
        if (k >= ${J[D]}) k = ${J[D]-1};
        offset += k * ${G[D]};
      `;return`
      float padA(int m[${q}]) {
        int offset = 0;
        int k = 0;
        ${F}
        vec2 coords = offsetToCoords(offset, ${H}, ${K});
        float value = getColorAsFloat(${Q.texture2D}(A, coords));
        return value;
      }
      `}}),Qf,Yf,eh,th,nh,rh,oh,ih,ah,V2,Jf,sh,Qo,uh,Jo,G2,lh=$(()=>{We(),xe(),pe(),Qf=(Q,J,G)=>{Qo(J);let H={name:"AveragePool",inputNames:["X"],inputTypes:[0],cacheHint:G.cacheKey};return[Q.run({...H,get:()=>eh(J,H,!1,G)},J)]},Yf=(Q)=>{let J=Q.attributes.getString("auto_pad","NOTSET"),G=Q.attributes.getInt("ceil_mode",0),H=Q.attributes.getInt("count_include_pad",0)!==0,K=Q.attributes.getInts("kernel_shape"),z=Q.attributes.getInts("strides",[]),q=Q.attributes.getInts("pads",[]);if(G!==0)throw Error("using ceil() in shape computation is not yet supported for AveragePool");return se({autoPad:J,ceilMode:G,countIncludePad:H,kernelShape:K,strides:z,pads:q})},eh=(Q,J,G,H)=>{let[K,z]=ah(Q,H,G),q=U.size(K.kernelShape),F="value += _X(x);",D="";K.countIncludePad?D+=`value /= float(${q});`:D+=`value /= float(${q} - pad);`;let V=`
        ${uh(Q[0].dims,K,F,D,"0.0")}
      `;return{...J,output:{dims:z,type:Q[0].type,textureType:0},shaderSource:V}},th=(Q,J,G)=>{Qo(J);let H={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[0],cacheHint:`${G.countIncludePad}`};return[Q.run({...H,get:()=>eh(J,H,!0,G)},J)]},nh=(Q)=>{let J=Q.attributes.getInt("count_include_pad",0)!==0;return se({autoPad:"",ceilMode:0,countIncludePad:J,kernelShape:[],strides:[],pads:[]})},rh=(Q,J,G)=>{Qo(J);let H={name:"MaxPool",inputNames:["X"],inputTypes:[0],cacheHint:G.cacheKey};return[Q.run({...H,get:()=>ih(J,H,!1,G)},J)]},oh=(Q)=>{let J=Q.attributes.getString("auto_pad","NOTSET"),G=Q.attributes.getInt("ceil_mode",0),H=Q.attributes.getInts("kernel_shape"),K=Q.attributes.getInts("strides",[]),z=Q.attributes.getInts("pads",[]),q=Q.attributes.getInt("storage_order",0),F=Q.attributes.getInts("dilations",[]);if(q!==0)throw Error("column major storage order is not yet supported for MaxPool");if(G!==0)throw Error("using ceil() in shape computation is not yet supported for MaxPool");return se({autoPad:J,ceilMode:G,countIncludePad:!1,kernelShape:H,strides:K,pads:z,storageOrder:q,dilations:F})},ih=(Q,J,G,H)=>{let[K,z]=ah(Q,H,G),q=`
      ${uh(Q[0].dims,K,`
      value = max(_X(x), value);
    `,"","-1e5")}
    `;return{...J,output:{dims:z,type:Q[0].type,textureType:0},shaderSource:q}},ah=(Q,J,G)=>{let H=Q[0].dims.slice(),K=Object.hasOwnProperty.call(J,"dilations"),z=J.kernelShape.slice(),q=J.strides.slice(),F=K?J.dilations.slice():[],D=J.pads.slice();Qn.adjustPoolAttributes(G,H,z,q,F,D);let V=Qn.computePoolOutputShape(G,H,q,F,z,D,J.autoPad),O=Object.assign({},J);return K?Object.assign(O,{kernelShape:z,strides:q,pads:D,dilations:F,cacheKey:J.cacheKey}):Object.assign(O,{kernelShape:z,strides:q,pads:D,cacheKey:J.cacheKey}),[O,V]},V2={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},Jf={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[0]},sh=(Q,J)=>(Qo(J),[Q.run({...Jf,get:()=>ih(J,Jf,!0,V2)},J)]),Qo=(Q)=>{if(!Q||Q.length!==1)throw Error("Pool ops requires 1 input.");if(Q[0].type!=="float32"&&Q[0].type!=="float64")throw Error("Invalid input type.")},uh=(Q,J,G,H,K)=>{let z=Q.length;if(J.kernelShape.length<=2){let q=J.kernelShape[J.kernelShape.length-1],F=J.strides[J.strides.length-1],D=J.pads[J.pads.length/2-1],V=J.pads[J.pads.length-1],O=Q[z-1],P="",N="",I="";if(D+V!==0?P=`
          for (int i = 0; i < ${q}; i++) {
            x[${z} - 1] = indices[${z} - 1] * ${F} - ${D} + i;
            if (x[${z} - 1] < 0 || x[${z} - 1] >= ${O}) {
              pad++;
              continue;
            }
            ${G}
          }`:P=`
          for (int i = 0; i < ${q}; i++) {
            x[${z} - 1] = indices[${z} - 1] * ${F} - ${D} + i;
            ${G}
          }`,J.kernelShape.length===2){let R=J.kernelShape[J.kernelShape.length-2],w=J.strides[J.strides.length-2],E=J.pads[J.pads.length/2-2],T=J.pads[J.pads.length-2],y=Q[z-2];E+T!==0?N=`
            for (int j = 0; j < ${R}; j++) {
              x[${z} - 2] = indices[${z} - 2] * ${w} - ${E} + j;
              if (x[${z} - 2] < 0 || x[${z} - 2] >= ${y}) {
                pad+= ${q};
                continue;
              }
          `:N=`
            for (int j = 0; j < ${R}; j++) {
              x[${z} - 2] = indices[${z} - 2] * ${w} - ${E} + j;
            `,I=`
          }
        `}return`
        float process(int indices[${z}]) {
          int x[${z}];
          copyVec(indices, x);

          float value = ${K};
          int pad = 0;
          ${N}
          ${P}
          ${I}
          ${H}
          return value;
        }
      `}else{let q=U.size(J.kernelShape),F=U.computeStrides(J.kernelShape),D=F.length,V=J.pads.length,O=G2(D),P=Jo(Q,"inputDims"),N=Jo(J.pads,"pads"),I=Jo(F,"kernelStrides"),R=Jo(J.strides,"strides"),w=J.pads.reduce((T,y)=>T+y),E="";return w?E=`
            if (x[j] >= inputDims[j] || x[j] < 0) {
              pad++;
              isPad = true;
              break;
            }
          }
          if (!isPad) {
            ${G}
          }`:E=`
          }
          ${G}
        `,`
        ${O}
        float process(int indices[${z}]) {
          int x[${z}];
          copyVec(indices, x);
          int offset[${D}];
          int pads[${V}];
          int inputDims[${z}];
          int kernelStrides[${D}];
          int strides[${D}];
          ${N}
          ${P}
          ${R}
          ${I}

          float value = ${K};
          int pad = 0;
          bool isPad = false;
          for (int i = 0; i < ${q}; i++) {
            offsetToIndices(i, kernelStrides, offset);
            isPad = false;
            for (int j = ${z} - ${D}; j < ${z}; j++) {
              x[j] = indices[j] * strides[j - ${z} + ${D}]
                + offset[j - ${z} + ${D}] - pads[j - 2];
              ${E}
          }
          ${H}

          return value;
        }
      `}},Jo=(Q,J)=>{let G="";for(let H=0;H<Q.length;H++)G+=`
      ${J}[${H}] = ${Q[H]};
    `;return G},G2=(Q)=>`
  void offsetToIndices(int offset, int[${Q}] strides, out int[${Q}] indices) {
    if (${Q} == 0) {
      return;
    }
    for (int i = 0; i < ${Q} - 1; ++i) {
      indices[i] = offset / strides[i];
      offset -= indices[i] * strides[i];
    }
    indices[${Q} - 1] = offset;
  }`}),ir,Mn,U2,W2,ch,dh,ph,fh,hh,mh,gh,bh=$(()=>{We(),Xr(),xe(),pe(),ir=(Q,J,G,H,K)=>{W2(J);let z={name:H,inputNames:["A"],inputTypes:[0]};return[Q.run({...z,cacheHint:G.cacheKey,get:()=>U2(Q,J,G,H,K,z)},J)]},Mn=(Q)=>{let J=Q.attributes.getInts("axes",[]),G=Q.attributes.getInt("keepdims",1)===1;return se({axes:J,keepDims:G})},U2=(Q,J,G,H,K,z)=>{let q=[],F=J[0].dims.length||1,D=[],V=U.normalizeAxes(G.axes,J[0].dims.length),O=K(J,V),P=O[1];for(let I=0;I<J[0].dims.length;I++)V.indexOf(I)>=0||V.length===0?(G.keepDims&&q.push(1),P=`
          for(int j${I} = 0; j${I} < ${J[0].dims[I]}; j${I}++) {
            inputIdx[${I}] = j${I};
            ${P}
          }`):(D.push(`inputIdx[${I}] = outputIdx[${q.length}];`),q.push(J[0].dims[I]));let N=`
      float process(int outputIdx[${q.length||1}]) {
        float value;                 // final result
        int inputIdx[${F}];      // addressing input data
        ${D.join(`
`)}
        ${O[0]}       // init ops for reduce max/min
        ${P}
        ${O[2]}       // final computation for reduce mean
        return value;
      }`;return{...z,output:{dims:q,type:J[0].type,textureType:0},shaderSource:N}},W2=(Q)=>{if(!Q||Q.length!==1)throw Error("Reduce op requires 1 input.");if(zn.indexOf(Q[0].type)===-1)throw Error("Invalid input type.")},ch=(Q,J,G)=>ir(Q,J,G,"ReduceSum",()=>["value = 0.0;","value += _A(inputIdx);",""]),dh=(Q,J,G)=>ir(Q,J,G,"ReduceMean",(H,K)=>{let z=1;for(let q=0;q<H[0].dims.length;q++)(K.indexOf(q)>=0||K.length===0)&&(z*=H[0].dims[q]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${z}.;`]}),ph=(Q,J,G)=>ir(Q,J,G,"ReduceMax",(H,K)=>{let z=[];for(let q=0;q<H[0].dims.length;q++)(K.indexOf(q)>=0||K.length===0)&&z.push(`inputIdx[${q}] = 0;`);return[`${z.join(`
`)}
value = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]}),fh=(Q,J,G)=>ir(Q,J,G,"ReduceMin",(H,K)=>{let z=[];for(let q=0;q<H[0].dims.length;q++)(K.indexOf(q)>=0||K.length===0)&&z.push(`inputIdx[${q}] = 0;`);return[`${z.join(`
`)}
value = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]}),hh=(Q,J,G)=>ir(Q,J,G,"ReduceProd",()=>["value = 1.0;","value *= _A(inputIdx);",""]),mh=(Q,J,G)=>ir(Q,J,G,"ReduceLogSum",()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"]),gh=(Q,J,G)=>ir(Q,J,G,"ReduceLogSumSquare",()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""])}),yh,_h=$(()=>{xe(),yh=(Q,J)=>{let G=U.calculateReshapedDims(J[0].dims,J[1].integerData);return Q.session.pack?[Q.reshapePacked(J[0],G)]:[Q.reshapeUnpacked(J[0],G)]}}),xh,xu,wh,Th,Zr,H2,wu,Yo,Tu=$(()=>{We(),De(),pe(),xh={name:"Upsample",inputNames:["X"],inputTypes:[0]},xu=(Q,J,G)=>(wu(J,G),[Q.run({...xh,cacheHint:G.cacheKey,get:()=>H2(Q,J,G)},J)]),wh=(Q)=>Zr(Q,7),Th=(Q)=>Zr(Q,9),Zr=(Q,J)=>{let G=J>=10,H=Q.attributes.getString("mode","nearest");if(H!=="nearest"&&H!=="linear"&&(J<11||H!=="cubic"))throw Error(`unrecognized mode: ${H}`);let K=[];J<9&&(K=Q.attributes.getFloats("scales"),Yo(K,H,G));let z=Q.attributes.getFloat("extrapolation_value",0),q=J>10?Q.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(q)===-1)throw Error(`coordinate_transform_mode '${q}' is not supported`);let F=q==="tf_crop_and_resize",D=F,V=H==="nearest"&&J>=11?Q.attributes.getString("nearest_mode","round_prefer_floor"):"";if(["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(V)===-1)throw Error(`nearest_mode '${V}' is not supported`);let O=Q.attributes.getFloat("cubic_coeff_a",-0.75),P=Q.attributes.getInt("exclude_outside",0)!==0;if(P&&H!=="cubic")throw Error("exclude_outside can be set to 1 only when mode is CUBIC.");let N=J<11?!0:H==="nearest"&&q==="asymmetric"&&V==="floor",I=0,R=0,w=0;return J>10?Q.inputs.length>2?(I=1,R=2,w=3):(R=1,w=2):J===9&&(R=1),se({opset:J,isResize:G,mode:H,scales:K,extrapolationValue:z,coordinateTransformMode:q,useExtrapolation:D,needRoiInput:F,nearestMode:V,cubicCoefficientA:O,excludeOutside:P,useNearest2xOptimization:N,roiInputIdx:I,scalesInputIdx:R,sizesInputIdx:w})},H2=(Q,J,G)=>{let H=j(Q.session.backend.glContext.version),[K,z]=Q.calculateTextureWidthAndHeight(J[0].dims,0),q=J[0].dims.map((w,E)=>Math.floor(w*G.scales[E])),[F,D]=Q.calculateTextureWidthAndHeight(q,0),V=q.length,O=Array(V),P=Array(V),N=`
      int output_pitches[${V}];
      int input_pitches[${V}];
      `;for(let w=V-1;w>=0;w--)O[w]=w===V-1?1:O[w+1]*q[w+1],P[w]=w===V-1?1:P[w+1]*J[0].dims[w+1],N+=`
        output_pitches[${w}] = ${O[w]};
        input_pitches[${w}] = ${P[w]};
        `;let I=`
      float getInputFloat(int index) {
        vec2 coords = offsetToCoords(index, ${K}, ${z});
        float value = getColorAsFloat(${H.texture2D}(X, coords));
        return value;
      }
      `,R=G.mode==="nearest"?`
    ${I}
    float process(int indices[${V}]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${F}, ${D});

      ${N}

      int d, m;
      for (int dim = 0; dim < ${V}; ++dim) {
        d = output_index / output_pitches[dim];
        m = output_index - d * output_pitches[dim];
        output_index = m;

        if (scales[dim] != 1 && d > 0) {
          int d2 = d / scales[dim];
          m = d - d2 * scales[dim];
          d = d2;
        }
        input_index += input_pitches[dim] * d;
      }

      return getInputFloat(input_index);
    }`:V===4?`
    ${I}
    float process(int indices[4]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${F}, ${D});

      ${N}

      int m;
      int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;
      index_of_dim0 = output_index / output_pitches[0];
      m = output_index - index_of_dim0 * output_pitches[0];
      index_of_dim1 = m / output_pitches[1];
      m = m - index_of_dim1 * output_pitches[1];
      index_of_dim2 = m / output_pitches[2];
      m = m - index_of_dim2 * output_pitches[2];
      index_of_dim3 = m;

      int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;
      index_of_input_dim2 = index_of_dim2 / scales[2];
      y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];
      index_of_input_dim3 = index_of_dim3 / scales[3];
      x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];

      input_index = index_of_dim0 * input_pitches[0] +
            index_of_dim1 * input_pitches[1] +
            index_of_input_dim2 * input_pitches[2] +
            index_of_input_dim3;

      float x00 = getInputFloat(input_index);
      float x10, x01, x11;

      bool end_of_dim2 = false;
      if (index_of_input_dim2 == (${J[0].dims[2]} - 1)) {
        // It's the end in dimension 2
        x01 = x00;
        end_of_dim2 = true;
      } else {
        x01 = getInputFloat(input_index + input_pitches[2]);
      }

      if (index_of_input_dim3 == (input_pitches[2] - 1)) {
        // It's the end in dimension 3
        x10 = x00;
        x11 = x01;
      }
      else {
        x10 = getInputFloat(input_index + 1);
        x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);
      }

      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);
      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);
      return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);
    }`:`
    ${I}
    float process(int indices[2]) {
      int input_index = 0;
      int output_index = coordsToOffset(TexCoords, ${F}, ${D});

      ${N}

      int m;
      int index_of_dim0, index_of_dim1;
      index_of_dim0 = output_index / output_pitches[0];
      m = output_index - index_of_dim0 * output_pitches[0];
      index_of_dim1 = m;

      int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;
      index_of_input_dim0 = index_of_dim0 / scales[0];
      y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];
      index_of_input_dim1 = index_of_dim1 / scales[1];
      x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];

      input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;

      float x00 = getInputFloat(input_index);
      float x10, x01, x11;

      bool end_of_dim0 = false;
      if (index_of_input_dim0 == (${J[0].dims[0]} - 1)) {
        // It's the end in dimension 0
        x01 = x00;
        end_of_dim0 = true;
      } else {
        x01 = getInputFloat(input_index + input_pitches[0]);
      }

      if (index_of_input_dim1 == (input_pitches[0] - 1)) {
        // It's the end in dimension 1
        x10 = x00;
        x11 = x01;
      }
      else {
        x10 = getInputFloat(input_index + 1);
        x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1);
      }

      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]);
      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]);
      return y0 + float(x_offset) * (y1 - y0) / float(scales[1]);
    }`;return{...xh,output:{dims:q,type:J[0].type,textureType:0},shaderSource:R,variables:[{name:"scales",type:"int",arrayLength:G.scales.length,data:G.scales.map((w)=>Math.ceil(w))}]}},wu=(Q,J)=>{if(!Q||J.opset<9&&Q.length!==1||J.opset>=9&&J.opset<11&&Q.length!==2||J.opset>=11&&Q.length<2)throw Error("invalid inputs.");if(J.scales.length>0&&Q[0].dims.length!==J.scales.length)throw Error("Invalid input shape.");if(Q[0].type==="string")throw Error("Invalid input tensor types.")},Yo=(Q,J,G)=>{if(G){for(let H of Q)if(H<=0)throw Error("Scale value should be greater than 0.")}else for(let H of Q)if(H<1)throw Error("Scale value should be greater than or equal to 1.");if((J==="linear"||J==="cubic")&&Q.length!==2&&(Q.length!==4||Q[0]!==1||Q[1]!==1))throw Error(`'Linear' mode and 'Cubic' mode only support 2-D inputs ('Bilinear', 'Bicubic')         or 4-D inputs with the corresponding outermost 2 scale values being 1         in the ${G?"Resize":"Upsample"} opeartor.`)}}),vu,Iu,vh,Ih,q2,j2,K2,X2,Sh=$(()=>{De(),pe(),dn(),nr(),Tu(),vu={name:"Resize",inputNames:["A"],inputTypes:[2]},Iu=(Q,J,G)=>(wu(J,G),[Q.run({...vu,cacheHint:G.cacheKey,get:()=>q2(Q,J,G)},J)]),vh=(Q)=>Zr(Q,10),Ih=(Q)=>Zr(Q,11),q2=(Q,J,G)=>{let H=j(Q.session.backend.glContext.version),[K,z]=j2(J,G);if(K.every((y)=>y===1)&&G.coordinateTransformMode!=="tf_crop_and_resize")return{...vu,output:{dims:z,type:J[0].type,textureType:2},hasMain:!0,shaderSource:`void main() {
                    vec4 v = ${H.texture2D}(X, TexCoords);
                    ${H.output} = v;
                }`};let q=z.length;if(q<2)throw Error(`output dimension should be at least 2, but got ${q}`);let F=z[q-2],D=z[q-1],V=J[0].dims;if(q!==V.length)throw Error(`output dimension should match input ${V.length}, but got ${q}`);let O=V[q-2],P=V[q-1],N=K[q-2],I=K[q-1],R="";if(G.mode!=="linear")throw Error(`resize (packed) does not support mode: '${G.mode}'`);switch(G.coordinateTransformMode){case"asymmetric":R=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        return vec4(coords) / scaleWHWH;
                    }
                `;break;case"half_pixel":R=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
                    }
                `;break;case"pytorch_half_pixel":R=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        vec4 fcoords = vec4(coords);
                        return vec4(
                            ${D}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
                            ${F}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
                            ${D}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
                            ${F}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
                          );
                    }
                `;break;case"align_corners":R=`
                    vec4 getSourceFracIndex(ivec4 coords) {
                        vec4 resized = vec4(${D}.0 - 1.0, ${F}.0 - 1.0, ${D}.0 - 1.0,
                            ${F}.0 - 1.0);
                        vec4 original = vec4(${P}.0 - 1.0, ${O}.0 - 1.0, ${P}.0 - 1.0,
                            ${O}.0 - 1.0);
                        vec4 new_scale = original / resized;
                        return vec4(coords) * new_scale;
                    }
                `;break;default:throw Error(`resize (packed) does not support coordinateTransformMode:                                 '${G.coordinateTransformMode}'`)}let w=Ye(q),E=pn(),T=`
            const vec2 inputWH = vec2(${O}.0, ${P}.0);
            const vec4 scaleWHWH = vec4(float(${N}), float(${I}), float(${N}), float(${I}));
            ${E}
            ${R}
            float getAValue(int x10, int r, int c, int d) {
                return getChannel(getA(x10, r, c, d), vec2(c, d));
            }
            void main() {
                ${w} rc = getOutputCoords();

                int batch = rc[0];
                int depth = rc[1];

                // retrieve the 4 coordinates that is used in the 4 packed output values.
                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);

                // calculate the source index in fraction
                vec4 sourceFrac = getSourceFracIndex(coords);

                // get the lower and upper bound of the 4 values that will be packed into one texel.
                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));
                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));
                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));
                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));

                bool hasNextRow = rc.w < ${F-1};
                bool hasNextCol = rc.z < ${D-1};

                // pack x00, x01, x10, x11's top-left corner into one vec4 structure
                vec4 topLeft = vec4(
                    getAValue(batch, depth, x00.x, x00.y),
                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);

                // pack x00, x01, x10, x11's top-right corner into one vec4 structure
                vec4 topRight = vec4(
                    getAValue(batch, depth, x00.x, x00.w),
                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);

                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure
                vec4 bottomLeft = vec4(
                    getAValue(batch, depth, x00.z, x00.y),
                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);

                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure
                vec4 bottomRight = vec4(
                    getAValue(batch, depth, x00.z, x00.w),
                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,
                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,
                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);

                // calculate the interpolation fraction on u and v direction
                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);
                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));

                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);
                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);
                vec4 newValue = mix(top, bottom, clampFrac.xxzz);

                ${H.output} = vec4(newValue);
            }
        `;return{...vu,output:{dims:z,type:J[0].type,textureType:2},hasMain:!0,shaderSource:T}},j2=(Q,J)=>{let G=Q[0].dims,H=J.scales,K;if(H.length===0){let q=Q[J.scalesInputIdx];if(q&&q.size!==0){if(Q[J.sizesInputIdx])throw Error("Only one of scales or sizes must be provided as input.");H=K2(q,J.mode,J.isResize)}else{let F=Q[J.sizesInputIdx];if(!F||F.size===0)throw Error("Either scales or sizes MUST be provided as input.");K=Array.from(F.integerData),H=X2(K,G,J.mode,J.isResize)}}else if(Q[J.sizesInputIdx])throw Error("Only one of scales or sizes must be provided as input.");let z=K||G.map((q,F)=>Math.floor(q*H[F]));return[H,z]},K2=(Q,J,G)=>{let H=Array.from(Q.floatData);return Yo(H,J,G),H},X2=(Q,J,G,H)=>{let K=J.length,z=Array(K);for(let q=0,F=K;q<F;q++)if(J[q]===0){if(Q[q]!==0)throw Error("Input dim is zero but required output dim is non-zero.");z[q]=1}else z[q]=Q[q]/J[q];return Yo(z,G,H),z}}),$h,Z2,Ah=$(()=>{tr(),$h=(Q,J)=>(Z2(J),[new Me([J[0].dims.length],"int32",void 0,void 0,new Int32Array(J[0].dims))]),Z2=(Q)=>{if(!Q||Q.length!==1)throw Error("Shape requires 1 input.")}}),Su,Ph,Oh,Eh,J2,Ch,Q2,Y2,Dh=$(()=>{We(),Xr(),xe(),pe(),Su={name:"Slice",inputNames:["A"],inputTypes:[0]},Ph=(Q,J,G)=>(J2(J),[Q.run({...Su,cacheHint:G.cacheKey,get:()=>Eh(Q,J[0],G)},J)]),Oh=(Q)=>{let J=Q.attributes.getInts("starts"),G=Q.attributes.getInts("ends"),H=Q.attributes.getInts("axes",[]);return se({starts:J,ends:G,axes:H})},Eh=(Q,J,G)=>{let H=G.axes.length===0?J.dims.slice(0).map((O,P)=>P):G.axes,K=U.normalizeAxes(H,J.dims.length),z=G.starts.map((O,P)=>O>J.dims[K[P]]-1?J.dims[K[P]]:U.normalizeAxis(O,J.dims[K[P]])),q=G.ends.map((O,P)=>O>J.dims[K[P]]-1?J.dims[K[P]]:U.normalizeAxis(O,J.dims[K[P]])),F=J.dims.slice(),D=[];for(let O=0;O<K.length;O++)F[K[O]]=q[O]-z[O],z[O]>0&&D.push(`outputIdx[${K[O]}] += ${z[O]};`);let V=`
      float process(int outputIdx[${F.length}]) {
        ${D.join(`
      `)}
        return _A(outputIdx);
      }`;return{...Su,output:{dims:F,type:J.type,textureType:0},shaderSource:V}},J2=(Q)=>{if(!Q||Q.length!==1)throw Error("Slice requires 1 input.");if(zn.indexOf(Q[0].type)===-1)throw Error("Invalid input type.")},Ch=(Q,J)=>{Y2(J);let G=Q2(Q,J);return[Q.run({...Su,cacheHint:G.cacheKey,get:()=>Eh(Q,J[0],G)},[J[0]])]},Q2=(Q,J)=>{if(!Q.session.isInitializer(J[1].dataId)||!Q.session.isInitializer(J[2].dataId)||J.length>=4&&!Q.session.isInitializer(J[3].dataId)||J.length>=5&&!Q.session.isInitializer(J[4].dataId))throw Error("dynamic slice attributes are not allowed");if(J.length>=5&&J[4].integerData.some((q)=>q!==1))throw Error("currently non-1 steps is not supported for Slice");let G=Array.from(J[1].integerData),H=Array.from(J[2].integerData),K=J.length>=4?Array.from(J[3].integerData):[],z=`${K};${G};${H}`;return{starts:G,ends:H,axes:K,cacheKey:z}},Y2=(Q)=>{if(!Q||Q.length<3||Q.length>5)throw Error("Invalid input number.");if(Q[1].type!=="int32"||Q[1].dims.length!==1)throw Error("Invalid input type.");if(Q[2].type!=="int32"||Q[2].dims.length!==1)throw Error("Invalid input type.");if(Q.length>=4&&(Q[3].type!=="int32"||Q[3].dims.length!==1))throw Error("Invalid input type.");if(Q.length>=5&&(Q[4].type!=="int32"||Q[4].dims.length!==1))throw Error("Invalid input type.")}}),kh,Lh,Rh,Nh,zh,Mh,Bh,Fh,eS,tS,nS,Vh,Gh=$(()=>{We(),xe(),De(),pe(),Zo(),kh={name:"SoftmaxComputeMax",inputNames:["A"],inputTypes:[0]},Lh={name:"SoftmaxComputeScale",inputNames:["A","Max"],inputTypes:[0,0]},Rh={name:"SoftMax",inputNames:["A","Max","Norm"],inputTypes:[0,0,0]},Nh=(Q,J,G)=>{Vh(J);let H=J[0].dims.slice(),K=U.normalizeAxis(G.axis,H.length),z=U.sizeToDimension(H,K),q=U.sizeFromDimension(H,K);return Fh(Q,J,G,z,q)},zh=(Q)=>se({axis:Q.attributes.getInt("axis",1)}),Mh=(Q)=>se({axis:Q.attributes.getInt("axis",-1)}),Bh=(Q,J,G)=>{Vh(J);let H=J[0].dims.slice(),K=U.normalizeAxis(G.axis,H.length),z=H.length,q=K!==z-1,F=[],D=[],V=[],O;q&&(D=Array.from({length:z}).map((R,w)=>w),D[K]=z-1,D[z-1]=K,D.map((R)=>F.push(H[R])),O=se({perm:D}),V=or(Q,J,O));let P=q?U.sizeToDimension(F,z-1):U.sizeToDimension(H,z-1),N=q?U.sizeFromDimension(F,z-1):U.sizeFromDimension(H,z-1),I=Fh(Q,q?V:J,G,P,N);return q?or(Q,I,O):I},Fh=(Q,J,G,H,K)=>{let z=eS(Q,J[0],H,K,[H]),q=Q.run({...kh,cacheHint:G.cacheKey,get:()=>z},J),F=tS(Q,J[0],H,K,z.output.dims,[H]),D=Q.run({...Lh,cacheHint:G.cacheKey,get:()=>F},[J[0],q]),V=nS(Q,J[0],H,K,z.output.dims,F.output.dims);return[Q.run({...Rh,cacheHint:G.cacheKey,get:()=>V},[J[0],q,D])]},eS=(Q,J,G,H,K)=>{let[z,q]=Q.calculateTextureWidthAndHeight(J.dims,0),F=K.length;if(G<1||H<1)throw Error("Logical row count N and feature count D must be greater than or equal to 1");if(K.length!==1)throw Error("Dimensionality of the output should be 1");if(K[0]!==G)throw Error("Shape of the output should be equal to logical row count");let D=j(Q.session.backend.glContext.version),V=`
      float process(int[${F}] indices) {
        int logical_row_start_offset = indices[0] * ${H};

        float max = getColorAsFloat(${D.texture2D}(A, offsetToCoords(logical_row_start_offset, ${z},
        ${q} )));
        for(int i=1; i<${H}; ++i)
        {
          float current = getColorAsFloat(${D.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
            ${z}, ${q})));
          if(current > max)
          max = current;
        }

        return max;
      }`;return{...kh,output:{dims:K,type:J.type,textureType:0},shaderSource:V}},tS=(Q,J,G,H,K,z)=>{let[q,F]=Q.calculateTextureWidthAndHeight(J.dims,0),D=z.length;if(G<1||H<1)throw Error("Logical row count N and feature count D must be greater than or equal to 1");if(z.length!==1)throw Error("Dimensionality of the output should be 1");if(z[0]!==G)throw Error("Shape of the output should be equal to logical row count");if(K.length!==1)throw Error("Dimensionality of the intermediate results should be 1");if(K[0]!==G)throw Error("Shape of the intermediate results should be equal to logical row count");let V=j(Q.session.backend.glContext.version),O=`
      float process(int[${D}] indices) {
        int logical_row_start_offset = indices[0] * ${H};

        float norm_factor = 0.0;
        float max = _Max(indices);
        for(int i=0; i<${H}; ++i)
        {
          norm_factor += exp(getColorAsFloat(${V.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
            ${q}, ${F}))) - max);
        }

        return norm_factor;
      }`;return{...Lh,output:{dims:z,type:J.type,textureType:0},shaderSource:O}},nS=(Q,J,G,H,K,z)=>{let[q,F]=Q.calculateTextureWidthAndHeight(J.dims,0),D=J.dims.length;if(G<1||H<1)throw Error("Logical row count N and feature count D must be greater than or equal to 1");if(K.length!==1||z.length!==1)throw Error("Dimensionality of the intermediate results should be 1");if(K[0]!==G||z[0]!==G)throw Error("Shape of the intermediate results should be equal to logical row count");let V=`
      float process(int[${D}] indices) {

      // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords)
      int offset = coordsToOffset(TexCoords, ${q}, ${F});

      //determine the logical row for this index
      int logical_row_index[1];
      logical_row_index[0] = offset / ${H};

      float norm_factor = _Norm(logical_row_index);

      // avoid possible division by 0
      // if norm_facor is 0, all elements are zero
      // if so, return 0
      if(norm_factor == 0.0)
        return 0.0;

      return exp(_A(indices) - _Max(logical_row_index)) / norm_factor;
    }`;return{...Rh,output:{dims:J.dims,type:J.type,textureType:0},shaderSource:V}},Vh=(Q)=>{if(!Q||Q.length!==1)throw Error("Softmax requires 1 input.");if(Q[0].type!=="float32"&&Q[0].type!=="float64")throw Error("Invalid input type")}}),Uh,Wh,Hh,rS,oS,iS,qh=$(()=>{We(),xe(),pe(),Uh={name:"Split",inputNames:["A"],inputTypes:[0]},Wh=(Q,J,G)=>{iS(J);let H=U.normalizeAxis(G.axis,J[0].dims.length),K=rS(Q,J,H,G),z=[];for(let q=0;q<K;++q)z.push(Q.run({...Uh,cacheHint:`${G.cacheKey};${q}`,get:()=>oS(Q,J[0],G,H,q)},J));return z},Hh=(Q)=>{let J=Q.attributes.getInt("axis",0),G=Q.attributes.getInts("split",[]),H=Q.outputs.length;return se({axis:J,split:G,numOutputs:H})},rS=(Q,J,G,H)=>{let[,K]=Ur.splitShape(J[0].dims,G,H.split,H.numOutputs);return K.length},oS=(Q,J,G,H,K)=>{let[z,q]=Ur.splitShape(J.dims,H,G.split,G.numOutputs),F=q[K],D=z[K],V=`
      float process(int indices[${D.length}]) {
        indices[${H}] += ${F};
        return _A(indices);
      }
    `;return{...Uh,cacheHint:`${G.cacheKey}:${K}`,output:{dims:D,type:J.type,textureType:0},shaderSource:V}},iS=(Q)=>{if(!Q||Q.length!==1)throw Error("Split requires one input.");if(Q[0].type!=="int8"&&Q[0].type!=="uint8"&&Q[0].type!=="int16"&&Q[0].type!=="uint16"&&Q[0].type!=="int32"&&Q[0].type!=="uint32"&&Q[0].type!=="float32"&&Q[0].type!=="float64"&&Q[0].type!=="bool")throw Error("Invalid input type.")}}),$u,jh,Kh,aS,sS,Xh=$(()=>{xe(),$u=(Q,J,G)=>{aS(J);let H=U.squeezeShape(J[0].dims,G);return[Q.reshapeUnpacked(J[0],H)]},jh=(Q,J)=>(sS(J),$u(Q,[J[0]],Array.from(J[1].integerData))),Kh=(Q)=>Q.attributes.getInts("axes"),aS=(Q)=>{if(!Q||Q.length!==1)throw Error("Squeeze requires 1 input.");if(Q[0].type==="string")throw Error("invalid input tensor types.")},sS=(Q)=>{if(!Q||Q.length!==2)throw Error("Squeeze requires 2 inputs.");if(Q[1].type!=="int32")throw Error("Invalid input type.")}}),Zh,uS,lS,Jh=$(()=>{De(),pe(),Zh=(Q,J)=>{lS(J);let G={name:"Sum",inputNames:J.map((H,K)=>`X${K}`),inputTypes:Array(J.length).fill(0)};return[Q.run({...G,get:()=>uS(Q,J,G)},J)]},uS=(Q,J,G)=>{let H=j(Q.session.backend.glContext.version),K=J[0].dims.slice(),z=`
      void main() {
        vec4 result = ${J.map((q,F)=>`${H.texture2D}(X${F},TexCoords)`).join(" + ")};
        ${H.output} = result;
      }
    `;return{...G,output:{dims:K,type:J[0].type,textureType:0},hasMain:!0,shaderSource:z}},lS=(Q)=>{if(!Q||Q.length===0)throw Error("Sum requires inputs.");let J=Q[0].dims.length;for(let G=1;G<Q.length;G++){if(J!==Q[G].dims.length)throw Error("Input shapes are mismatched.");for(let H=0;H<J;H++)if(Q[0].dims[H]!==Q[G].dims[H])throw Error("Input shapes are not matched.")}if(Q[0].type!=="float32"&&Q[0].type!=="float64")throw Error("Invalid input type.");for(let G=1;G<Q.length;G++)if(Q[0].type!==Q[G].type)throw Error("Input types are not matched.")}}),Qh,cS,dS,Yh=$(()=>{Xr(),pe(),Qh=(Q,J)=>{dS(J);let G={name:"Tile",inputNames:["A"],inputTypes:[0]};return[Q.run({...G,get:()=>cS(Q,J,G)},J)]},cS=(Q,J,G)=>{let H=J[0].dims.slice(),K=Array(H.length),z=[];for(let D=0;D<H.length;D++)K[D]=H[D]*J[1].numberData[D],z.push(`inputIdx[${D}] = int(mod(float(outputIdx[${D}]), ${H[D]}.));`);let q=K.length,F=`
      float process(int outputIdx[${q}]) {
        int inputIdx[${q}];
        ${z.join(`
`)}
        return _A(inputIdx);
      }
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      }
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        float t = coords.t * float(height);
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        return offset;
      }
      `)}}getOutputSamplingSnippet(){let Q=this.context.outputTextureLayout;return Q.isPacked?this.getPackedOutputSamplingSnippet(Q):this.getUnpackedOutputSamplingSnippet(Q)}getPackedOutputSamplingSnippet(Q){let J=Q.unpackedShape,G=[Q.width,Q.height],H={},K="getOutputCoords";switch(J.length){case 0:H[K]=this.getOutputScalarCoords();break;case 1:H[K]=this.getOutputPacked1DCoords(J,G);break;case 2:H[K]=this.getOutputPacked2DCoords(J,G);break;case 3:H[K]=this.getOutputPacked3DCoords(J,G);break;default:H[K]=this.getOutputPackedNDCoords(J,G)}let z=`
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      }
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        void setOutput(float val) {
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        }
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      int getOutputCoords() {
        return 0;
      }
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            return 2 * int(TexCoords.y * ${G[1]}.0);
          }
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          int getOutputCoords() {
            return 2 * int(TexCoords.x * ${G[0]}.0);
          }
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        int getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
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          return 2 * (resTexRC.y * ${G[0]} + resTexRC.x);
        }
      `,new M(H))}getOutputPacked2DCoords(Q,J){let G="";if(Jn.arraysEqual(Q,J))return G=`
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        }
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        ivec2 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${H[0]}, ${H[1]}));

          int index = resTexRC.y * ${H[0]} + resTexRC.x;

          // reverse r and c order for packed texture
          int r = imod(index, ${K}) * 2;
          int c = 2 * (index / ${K});

          return ivec2(r, c);
        }
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        ivec3 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${G[0]}, ${G[1]}));
          int index = resTexRC.y * ${G[0]} + resTexRC.x;

          int b = index / ${K};
          index -= b * ${K};

          // reverse r and c order for packed texture
          int r = imod(index, ${H}) * 2;
          int c = 2 * (index / ${H});

          return ivec3(b, r, c);
        }
      `;return new M(z)}getOutputPackedNDCoords(Q,J){let G=[J[0],J[1]],H=Math.ceil(Q[Q.length-1]/2),K=H*Math.ceil(Q[Q.length-2]/2),z=K,q="",F="b, r, c";for(let V=2;V<Q.length-1;V++)z*=Q[Q.length-V-1],q=`
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      ivec${Q.length} getOutputCoords() {
        ivec2 resTexRC = ivec2(TexCoords.xy *
                              vec2(${G[0]}, ${G[1]}));
        int index = resTexRC.y * ${G[0]} + resTexRC.x;

        ${q}

        int b = index / ${K};
        index -= b * ${K};

        // reverse r and c order for packed texture
        int r = imod(index, ${H}) * 2;
        int c = 2 * (index / ${H});

        return ivec${Q.length}(${F});
      }
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        int getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
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          return resTexRC.y * ${J[0]} + resTexRC.x;
        }
      `;return new M(G)}getOutputUnpacked2DCoords(Q,J){let G=`
        ivec2 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${J[0]}, ${J[1]}));
          int index = resTexRC.y * ${J[0]} + resTexRC.x;
          int r = index / ${Q[1]};
          int c = index - r * ${Q[1]};
          return ivec2(r, c);
        }
      `;return new M(G)}getOutputUnpacked3DCoords(Q,J){let G="",H=Q.length,K=null;H<2&&(K=[]),K=Array(H-1),K[H-2]=Q[H-1];for(let F=H-3;F>=0;--F)K[F]=K[F+1]*Q[F+1];let z=["r","c","d"],q=K.map((F,D)=>{let V=`int ${z[D]} = index / ${F}`,O=D===K.length-1?`int ${z[D+1]} = index - ${z[D]} * ${F}`:`index -= ${z[D]} * ${F}`;return`${V}; ${O};`}).join("");return G=`
        ivec3 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${J[0]}, ${J[1]}));
          int index = resTexRC.y * ${J[0]} + resTexRC.x;
          ${q}
          return ivec3(r, c, d);
        }
      `,new M(G)}getOutputUnpacked4DCoords(Q,J){let G="",H=Q.length,K=null;H<2&&(K=[]),K=Array(H-1),K[H-2]=Q[H-1];for(let F=H-3;F>=0;--F)K[F]=K[F+1]*Q[F+1];let z=["r","c","d","d2"],q=K.map((F,D)=>{let V=`int ${z[D]} = index / ${F}`,O=D===K.length-1?`int ${z[D+1]} = index - ${z[D]} * ${F}`:`index -= ${z[D]} * ${F}`;return`${V}; ${O};`}).join("");return G=`
      ivec4 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${J[0]}, ${J[1]}));
          int index = resTexRC.y * ${J[0]} + resTexRC.x;
          ${q}
          return ivec4(r, c, d, d2);
        }
      `,new M(G)}getOutputUnpacked5DCoords(Q,J){let G="",H=Q.length,K=null;H<2&&(K=[]),K=Array(H-1),K[H-2]=Q[H-1];for(let F=H-3;F>=0;--F)K[F]=K[F+1]*Q[F+1];let z=["r","c","d","d2","d3"],q=K.map((F,D)=>{let V=`int ${z[D]} = index / ${F}`,O=D===K.length-1?`int ${z[D+1]} = index - ${z[D]} * ${F}`:`index -= ${z[D]} * ${F}`;return`${V}; ${O};`}).join("");return G=`
      ivec5 getOutputCoords() {
          ivec2 resTexRC = ivec2(TexCoords.xy *
                                vec2(${J[0]}, ${J[1]}));
          int index = resTexRC.y * ${J[0]} + resTexRC.x;
          ${q}
          return ivec5(r, c, d, d2, d3);
        }
      `,new M(G)}getOutputUnpacked6DCoords(Q,J){let G="",H=Q.length,K=null;H<2&&(K=[]),K=Array(H-1),K[H-2]=Q[H-1];for(let F=H-3;F>=0;--F)K[F]=K[F+1]*Q[F+1];let z=["r","c","d","d2","d3","d4"],q=K.map((F,D)=>{let V=`int ${z[D]} = index / ${F}`,O=D===K.length-1?`int ${z[D+1]} = index - ${z[D]} * ${F}`:`index -= ${z[D]} * ${F}`;return`${V}; ${O};`}).join("");return G=`
     ivec6 getOutputCoords() {
         ivec2 resTexRC = ivec2(TexCoords.xy *
                               vec2(${J[0]}, ${J[1]}));
         int index = resTexRC.y * ${J[0]} + resTexRC.x;
         ${q}
         return ivec6(r, c, d, d2, d3, d4);
       }
     `,new M(G)}getCommonUtilFuncs(){let Q={},J="uvFromFlat";Q[J]=new M(`
    vec2 uvFromFlat(int texNumR, int texNumC, int index) {
      int texC = index / texNumR;
      int texR = index - texC * texNumR;
      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to
      //       v.
      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);
    }
    `),J="packedUVfrom1D",Q[J]=new M(`
      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
        int texelIndex = index / 2;
        int texR = texelIndex / texNumC;
        int texC = texelIndex - texR * texNumC;
        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
      }
      `),J="packedUVfrom2D",Q[J]=new M(`
      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {
        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
        int texR = texelIndex / texNumC;
        int texC = texelIndex - texR * texNumC;
        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
      }
      `),J="packedUVfrom3D",Q[J]=new M(`
      vec2 packedUVfrom3D(int texNumR, int texNumC,
          int texelsInBatch, int texelsInLogicalRow, int b,
          int row, int col) {
        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
        int texR = index / texNumC;
        int texC = index - texR * texNumC;
        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
      }
      `),J="sampleTexture";let G=j(this.context.glContext.version);return Q[J]=new M(`
        float sampleTexture(sampler2D textureSampler, vec2 uv) {
            return ${G.texture2D}(textureSampler, uv).r;
        }`),Q}getInputsSamplingSnippets(){let Q={},J=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((G,H)=>{let K=this.context.inputTextureLayouts[H],z=Fo(G);K.isPacked?Q[z]=this.getPackedSamplerFromInput(z,G,K):Q[z]=this.getUnpackedSamplerFromInput(z,G,K);let q=Xd(G);K.unpackedShape.length<=J.unpackedShape.length&&(K.isPacked?Q[q]=this.getPackedSamplerAtOutputCoords(q,K,J,G):Q[q]=this.getUnpackedSamplerAtOutputCoords(q,K,J,G))}),Q}getPackedSamplerAtOutputCoords(Q,J,G,H){let K=J.unpackedShape,z=G.unpackedShape,q=Fo(H),F=K.length,D=z.length,V=Qe.getBroadcastDims(K,z),O=Ye(D),P=D-F,N,I=$t();F===0?N="":D<2&&V.length>=1?N="coords = 0;":N=V.map((b)=>`coords.${I[b+P]} = 0;`).join(`
`);let R="";D<2&&F>0?R="coords":R=K.map((b,g)=>`coords.${I[g+P]}`).join(", ");let w="return outputValue;",E=U.size(K)===1,T=U.size(z)===1;if(F===1&&!E&&!T)w=`
        return vec4(outputValue.xy, outputValue.xy);
      `;else if(E&&!T)D===1?w=`
          return vec4(outputValue.x, outputValue.x, 0., 0.);
        `:w=`
          return vec4(outputValue.x);
        `;else if(V.length){let b=F-2,g=F-1;V.indexOf(b)>-1&&V.indexOf(g)>-1?w="return vec4(outputValue.x);":V.indexOf(b)>-1?w="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":V.indexOf(g)>-1&&(w="return vec4(outputValue.xx, outputValue.zz);")}let y=`
        int lastDim = coords.${I[D-1]};
        coords.${I[D-1]} = coords.${I[D-2]};
        coords.${I[D-2]} = lastDim;
      `,x=`
      vec4 ${Q}() {
        ${O} coords = getOutputCoords();
        ${y}
        ${N}
        vec4 outputValue = ${q}(${R});
        ${w}
      }
    `;return new M(x,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(Q,J,G,H){let K=[G.width,G.height],z=[J.width,J.height],q=J.unpackedShape.length,F=G.unpackedShape.length,D=J.unpackedShape,V=G.unpackedShape,O=Fo(H);if(q===F&&Jn.arraysEqual(z,K)){let y=`
          float ${Q}() {
            return sampleTexture(${H}, TexCoords);
          }
        `;return new M(y,["coordinates.sampleTexture"])}let P=Ye(F),N=Qe.getBroadcastDims(D,V),I=F-q,R,w=$t();q===0?R="":F<2&&N.length>=1?R="coords = 0;":R=N.map((y)=>`coords.${w[y+I]} = 0;`).join(`
`);let E="";F<2&&q>0?E="coords":E=J.unpackedShape.map((y,x)=>`coords.${w[x+I]}`).join(", ");let T=`
        float ${Q}() {
          ${P} coords = getOutputCoords();
          ${R}
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        }
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G}default:throw Error(`unsupported attribute type: ${ht.AttributeType[J.type()]}`)}}}}),Lu,Ru,hn,pi,ku,Am=$(()=>{$m(),Br(),Lu=ae(gr()),tr(),xe(),Ru={from:(Q,J)=>new ku(Q,J)},hn=class{constructor(Q){this._from=void 0,this._to=[],this.tensor=void 0,this.type=void 0,Q&&(this.type=je.tensorValueTypeFromProto(Q.type.tensorType))}get from(){return this._from}get to(){return this._to}},pi=class{constructor(Q,J){Q instanceof Lu.onnx.NodeProto?(this.name=Q.name,this.opType=Q.opType,this.attributes=new Qr(Q.attribute)):Q instanceof Ns.Node&&(this.name=J??Q.name(),this.opType=Q.opType(),this.attributes=new Qr(je.tensorAttributesFromORTFormat(Q))),this.inputs=[],this.outputs=[],this.executeNode=!0}},ku=class{constructor(Q,J){if(!Q)throw TypeError("graph is empty");this.buildGraph(Q),this.transformGraph(J),this.checkIsAcyclic()}getInputIndices(){return this._allInputIndices}getInputNames(){return this._allInputNames}getOutputIndices(){return this._allOutputIndices}getOutputNames(){return 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hn;q.type={shape:{dims:je.tensorDimsFromProto(K.dims)},tensorType:je.tensorDataTypeFromProto(K.dataType)},z=this._allData.push(q)-1,J.set(K.name,z)}this._allData[z]._from=-1,this._allData[z].tensor=Me.fromProto(K)}for(let K=0;K<this._allData.length;K++)this._allData[K].tensor||(this._allInputIndices.push(K),this._allInputNames.push(H[K]));if(!Q.output)throw Error("missing information in graph: output");for(let K of Q.output){if(J.has(K.name))throw Error(`duplicated output name: ${K.name}`);let z=this._allData.push(new hn(K))-1;J.set(K.name,z),this._allOutputIndices.push(z),this._allOutputNames.push(K.name)}if(!Q.node)throw Error("missing information in graph: node");for(let K of Q.node){if(!K.name)for(let q=0;;q++){let F=`unnamed_${K.opType}_${q}`;if(!G.has(F)){K.name=F;break}}if(G.has(K.name))throw Error(`duplicated node name: ${K.name}`);let z=this._nodes.push(new pi(K))-1;G.set(K.name,z)}for(let K=0;K<this._nodes.length;K++){let z=this._nodes[K],q=Q.node[K];if(!q.output)throw Error(`missing output for node: ${q.name}`);for(let F of q.output){let D=J.get(F);if(typeof D>"u"&&(D=this._allData.push(new hn)-1,J.set(F,D)),z.outputs.push(D),this._allData[D]._from!==void 0)throw Error(`multiple nodes output to one data value: ${D}`);if(this._allData[D]._from=K,q.opType==="Constant"){if(!q.attribute||q.attribute.length!==1||!q.attribute[0].t)throw Error("missing attributes or missing tensor value in attributes for this Constant operator");if(!q.output||q.output.length!==1)throw Error("missing output or incorrect number of outputs for this Constant operator");z.outputs.pop(),z.executeNode=!1,this._allData[D]._from=-1,this._allData[D].tensor=Me.fromProto(q.attribute[0].t)}}}for(let K=0;K<this._nodes.length;K++){let z=this._nodes[K],q=Q.node[K];if(!q.input)throw Error(`missing input for node: ${q.name}`);for(let F of q.input){let D=J.get(F);if(typeof D>"u"){if(F===""&&(q.input.length===3||q.input.length===4)&&q.opType==="Resize")continue;throw Error(`unrecognized input '${F}' for node: ${q.name}`)}z.inputs.push(D),this._allData[D]._to.push(K)}}return!0}buildGraphFromOrtFormat(Q){let J=new Map;this._allData=[],this._allInputIndices=[],this._allInputNames=[],this._allOutputIndices=[],this._allOutputNames=[],this._nodes=[];let G=new Map,H=[];for(let K=0;K<Q.inputsLength();K++){let z=Q.inputs(K);if(J.has(z))throw Error(`duplicated input name: ${z}`);for(let q=0;q<Q.nodeArgsLength();q++)if(Q.nodeArgs(q)?.name()===z){let F=new hn;if(Q.nodeArgs(q)?.type()?.valueType()!==Ms.TypeInfoValue.tensor_type)throw Error("Unexpected value type for the nodeArg.");let D=Q.nodeArgs(q).type().value(new zs.TensorTypeAndShape),V=je.tensorDataTypeFromProto(D.elemType()),O=D.shape(),P=[];for(let I=0;I<O.dimLength();I++)P.push(it.longToNumber(O.dim(I).value().dimValue()));F.type={shape:{dims:P},tensorType:V};let N=this._allData.push(F)-1;J.set(z,N),H.push(z)}}for(let K=0;K<Q.initializersLength();K++){let z=Q.initializers(K),q=J.get(z.name());if(q===void 0){let F=new hn,D=je.tensorDimsFromORTFormat(z),V=je.tensorDataTypeFromProto(z.dataType());F.type={shape:{dims:D},tensorType:V},q=this._allData.push(F)-1,J.set(z.name(),q)}this._allData[q]._from=-1,this._allData[q].tensor=Me.fromOrtTensor(z)}for(let K=0;K<this._allData.length;K++)this._allData[K].tensor||(this._allInputIndices.push(K),this._allInputNames.push(H[K]));for(let K=0;K<Q.outputsLength();K++){let z=Q.outputs(K);if(J.has(z))throw Error(`duplicated output name: ${z}`);let q=this._allData.push(new hn)-1;J.set(z,q),this._allOutputIndices.push(q),this._allOutputNames.push(z)}if(!Q.nodes)throw Error("missing information in graph: node");for(let K=0;K<Q.nodesLength();K++){let z=Q.nodes(K),q=z.name();if(!q)for(let D=0;q=`unnamed_${z.opType()}_${D}`,!!G.has(q);D++);if(G.has(q))throw Error(`duplicated node name: ${q}`);let F=this._nodes.push(new pi(z,q))-1;G.set(q,F)}for(let K=0;K<this._nodes.length;K++){let z=this._nodes[K],q=Q.nodes(K);if(q==null)throw Error(`No node exists at index ${K}`);if(q?.outputsLength()===0)throw Error(`missing output for node: ${q.name}`);for(let F=0;F<q?.outputsLength();F++){let D=q?.outputs(F),V=J.get(D);if(typeof V>"u"&&(V=this._allData.push(new hn)-1,J.set(D,V)),z.outputs.push(V),this._allData[V]._from!==void 0)throw Error(`multiple nodes output to one data value: ${V}`);if(this._allData[V]._from=K,q.opType()==="Constant"){if(q.attributesLength()!==1||!q.attributes(0).t())throw Error("missing attributes or missing tensor value in attributes for this Constant operator");if(q.outputsLength()!==1)throw Error("missing output or incorrect number of outputs for this Constant operator");z.outputs.pop(),z.executeNode=!1,this._allData[V]._from=-1,this._allData[V].tensor=Me.fromOrtTensor(q.attributes(0).t())}}}for(let K=0;K<this._nodes.length;K++){let z=this._nodes[K],q=Q.nodes(K);if(q.inputsLength()===0)throw Error(`missing input for node: ${q.name}`);for(let F=0;F<q.inputsLength();F++){let D=q.inputs(F),V=J.get(D);if(typeof V>"u")throw Error(`unrecognized input '${D}' for node: ${q.name()}`);z.inputs.push(V),this._allData[V]._to.push(K)}}}checkIsAcyclic(){let Q=new Set;this._allInputIndices.forEach((H)=>{this._allData[H]._to.forEach((K)=>{Q.add(K)})});let J=Array.from(Q),G=Array(this._nodes.length).fill("white");for(;J.length>0;){let H=J.pop();G[H]==="gray"?G[H]="black":(J.push(H),G[H]="gray",this._nodes[H].outputs.forEach((K)=>{let z=this._allData[K];if(typeof z.tensor<"u")throw Error("node outputs should not be initialized");if(z._from!==H)throw Error("from property of the Value object doesn't match index of Node being processed");z._to.forEach((q)=>{if(G[q]==="gray")throw Error("model graph is cyclic");G[q]==="white"&&J.push(q)})}))}}transformGraph(Q){this.removeAllIdentityNodes(),this.removeAllDropoutNodes(),this.fuseConvActivationNodes(),Q&&Q.transformGraph(this),this.finalizeGraph()}finalizeGraph(){let Q=0,J=[this._nodes.length,0],G=0;for(let H=0;H<this._nodes.length;H++)J[H]=G,this._nodes[H].executeNode?(G!==H&&(this._nodes[G]=this._nodes[H]),G++):this._nodes[H].outputs.forEach((K)=>{this._allData[K]._from=-2});this._nodes.splice(G,this._nodes.length-G);for(let H=0;H<this._allData.length;H++){let K=this._allData[H];K._from!==void 0&&K._from!==-1&&K._from!==-2&&(K._from=J[K._from]);for(let z=0;z<K._to.length;z++)if(K._to[z]>=0)K._to[z]=J[K._to[z]];else throw Error("Trying to update a removed node")}Q=0;for(let H=0;H<this._allData.length;H++){if(this._allData[H].from===-2&&this._allOutputIndices.indexOf(H+Q)===-1){Q++,this._allData.splice(H,1),H--;continue}if(Q>0){let K=-1;this._allData[H].from!==void 0&&this._allData[H].from!==-1?(K=this._nodes[this._allData[H].from].outputs.indexOf(H+Q),K!==-1&&(this._nodes[this._allData[H].from].outputs[K]=H)):(K=this._allInputIndices.indexOf(H+Q),K!==-1&&(this._allInputIndices[K]=H)),this._allData[H].to.forEach((z)=>{K=this._nodes[z].inputs.indexOf(H+Q),K!==-1&&(this._nodes[z].inputs[K]=H)}),this._allData[H].to.length===0&&(K=this._allOutputIndices.indexOf(H+Q),K!==-1&&(this._allOutputIndices[K]=H))}}}deleteNode(Q){let J=this._nodes[Q];if(J.outputs.length>1){for(let q=1;q<J.outputs.length;q++)if(this._allData[J.outputs[q]].to.length>0)throw Error("Node deletion with more than one output connected to other nodes is not supported. ")}J.executeNode=!1;let G=J.inputs[0],H=J.outputs[0],K=this._allData[H].to;for(let q=0;q<J.inputs.length;q++){let F=this._allData[J.inputs[q]].to.indexOf(Q);if(F===-1)throw Error("The Value object doesn't have the current Node in it's 'to' property ");this._allData[J.inputs[q]].to.splice(F,1)}this._allData[H]._to=[];let z=this._allOutputIndices.indexOf(H);if(z!==-1&&(this._allOutputIndices[z]=G),K&&K.length>0)for(let q of K){let F=this._nodes[q].inputs.indexOf(H);if(F===-1)throw Error("The Node object doesn't have the output Value in it's 'inputs' property ");this._nodes[q].inputs[F]=G,this._allData[G].to.push(q)}}removeAllDropoutNodes(){let Q=0;for(let J of this._nodes){if(J.opType==="Dropout"){if(J.inputs.length!==1)throw Error("Dropout nodes should only contain one input. 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Releasing tensor."),this.releaseTensor()}this.activeUpload?this.activeUpload.set(J):this.activeUpload=new Uint8Array(J)}async download(Q){if(this.activeUpload){let J=this.wrapper?.isDataConverted?tg(this.activeUpload,this.wrapper?.type):this.activeUpload;if(Q){Q instanceof ArrayBuffer?new Uint8Array(Q).set(J):new Uint8Array(Q.buffer,Q.byteOffset,Q.byteLength).set(J);return}else return J.buffer}if(!this.wrapper)throw Error("Tensor has not been created.");return Q?this.wrapper.read(Q):this.wrapper.read()}},Hu=class{constructor(Q){this.backend=Q,this.tensorTrackersById=new Map,this.freeTensors=[],this.externalTensors=new Set}getMLContext(Q){let J=this.backend.getMLContext(Q);if(!J)throw Error("MLContext not found for session.");return J}getMLOpSupportLimits(Q){return this.backend.getMLOpSupportLimits(Q)}reserveTensorId(){let Q=Ym();return this.tensorTrackersById.set(Q,new Ri(this)),Q}releaseTensorId(Q){let J=this.tensorTrackersById.get(Q);J&&(this.tensorTrackersById.delete(Q),J.tensorWrapper&&this.releaseTensor(J.tensorWrapper))}async ensureTensor(Q,J,G,H,K){ie("verbose",()=>`[WebNN] TensorManager.ensureTensor {tensorId: ${J}, dataType: ${G}, shape: ${H}, copyOld: ${K}}`);let z=this.tensorTrackersById.get(J);if(!z)throw Error("Tensor not found.");return z.ensureTensor(Q,G,H,K)}upload(Q,J){let G=this.tensorTrackersById.get(Q);if(!G)throw Error("Tensor not found.");G.upload(J)}async download(Q,J){ie("verbose",()=>`[WebNN] TensorManager.download {tensorId: ${Q}, dstBuffer: ${J?.byteLength}}`);let G=this.tensorTrackersById.get(Q);if(!G)throw Error("Tensor not found.");return G.download(J)}releaseTensorsForSession(Q){for(let J of this.freeTensors)J.sessionId===Q&&J.destroy();this.freeTensors=this.freeTensors.filter((J)=>J.sessionId!==Q)}registerTensor(Q,J,G,H){let K=this.getMLContext(Q),z=Ym(),q=new Li({sessionId:Q,context:K,tensor:J,dataType:G,shape:H});return this.tensorTrackersById.set(z,new Ri(this,q)),this.externalTensors.add(q),z}async getCachedTensor(Q,J,G,H,K,z,q){let F=this.getMLContext(Q);for(let[V,O]of this.freeTensors.entries())if(O.canReuseTensor(F,J,G)){ie("verbose",()=>`[WebNN] Reusing tensor {dataType: ${J}, ${q?`fallbackDataType: ${q},`:""} shape: ${G}`);let P=this.freeTensors.splice(V,1)[0];return P.sessionId=Q,P}ie("verbose",()=>`[WebNN] MLContext.createTensor {dataType: ${J}, ${q?`fallbackDataType: ${q},`:""} shape: ${G}}`);let D=await F.createTensor({dataType:q??J,shape:G,dimensions:G,usage:H,writable:K,readable:z});return new Li({sessionId:Q,context:F,tensor:D,dataType:J,shape:G,fallbackDataType:q})}releaseTensor(Q){this.externalTensors.has(Q)&&this.externalTensors.delete(Q),this.freeTensors.push(Q)}},rg=(...Q)=>new Hu(...Q)}),Ni,US,zi,ig=$(()=>{X(),Bn(),Wu(),og(),gn(),Ni=new Map([[1,"float32"],[10,"float16"],[6,"int32"],[12,"uint32"],[7,"int64"],[13,"uint64"],[22,"int4"],[21,"uint4"],[3,"int8"],[2,"uint8"],[9,"uint8"]]),US=(Q,J)=>{if(Q===J)return!0;if(Q===void 0||J===void 0)return!1;let G=Object.keys(Q).sort(),H=Object.keys(J).sort();return G.length===H.length&&G.every((K,z)=>K===H[z]&&Q[K]===J[K])},zi=class{constructor(Q){this.tensorManager=rg(this),this.mlContextBySessionId=new Map,this.sessionIdsByMLContext=new Map,this.mlContextCache=[],this.sessionGraphInputs=new Map,this.sessionGraphOutputs=new Map,this.temporaryGraphInputs=[],this.temporaryGraphOutputs=[],this.temporarySessionTensorIds=new Map,this.mlOpSupportLimitsBySessionId=new Map,Ci(Q.logLevel,!!Q.debug)}get currentSessionId(){if(this.activeSessionId===void 0)throw Error("No active session");return this.activeSessionId}onRunStart(Q){ie("verbose",()=>`[WebNN] onRunStart {sessionId: ${Q}}`),this.activeSessionId=Q}onRunEnd(Q){ie("verbose",()=>`[WebNN] onRunEnd {sessionId: ${Q}}`);let J=this.temporarySessionTensorIds.get(Q);if(J){for(let G of J)ie("verbose",()=>`[WebNN] releasing temporary tensor {tensorId: ${G}}`),this.tensorManager.releaseTensorId(G);this.temporarySessionTensorIds.delete(Q),this.activeSessionId=void 0}}async createMLContext(Q){if(Q instanceof GPUDevice){let G=this.mlContextCache.findIndex((H)=>H.gpuDevice===Q);if(G!==-1)return this.mlContextCache[G].mlContext;{let H=await navigator.ml.createContext(Q);return this.mlContextCache.push({gpuDevice:Q,mlContext:H}),H}}else if(Q===void 0){let G=this.mlContextCache.findIndex((H)=>H.options===void 0&&H.gpuDevice===void 0);if(G!==-1)return this.mlContextCache[G].mlContext;{let H=await navigator.ml.createContext();return this.mlContextCache.push({mlContext:H}),H}}let J=this.mlContextCache.findIndex((G)=>US(G.options,Q));if(J!==-1)return this.mlContextCache[J].mlContext;{let G=await navigator.ml.createContext(Q);return this.mlContextCache.push({options:Q,mlContext:G}),G}}registerMLContext(Q,J){this.mlContextBySessionId.set(Q,J);let G=this.sessionIdsByMLContext.get(J);G||(G=new Set,this.sessionIdsByMLContext.set(J,G)),G.add(Q),this.mlOpSupportLimitsBySessionId.has(Q)||this.mlOpSupportLimitsBySessionId.set(Q,J.opSupportLimits()),this.temporaryGraphInputs.length>0&&(this.sessionGraphInputs.set(Q,this.temporaryGraphInputs),this.temporaryGraphInputs=[]),this.temporaryGraphOutputs.length>0&&(this.sessionGraphOutputs.set(Q,this.temporaryGraphOutputs),this.temporaryGraphOutputs=[])}onReleaseSession(Q){this.sessionGraphInputs.delete(Q),this.sessionGraphOutputs.delete(Q);let J=this.mlContextBySessionId.get(Q);if(!J)return;this.tensorManager.releaseTensorsForSession(Q),this.mlContextBySessionId.delete(Q),this.mlOpSupportLimitsBySessionId.delete(Q);let G=this.sessionIdsByMLContext.get(J);if(G.delete(Q),G.size===0){this.sessionIdsByMLContext.delete(J);let H=this.mlContextCache.findIndex((K)=>K.mlContext===J);H!==-1&&this.mlContextCache.splice(H,1)}}getMLContext(Q){return this.mlContextBySessionId.get(Q)}getMLOpSupportLimits(Q){return this.mlOpSupportLimitsBySessionId.get(Q)}reserveTensorId(){return this.tensorManager.reserveTensorId()}releaseTensorId(Q){ie("verbose",()=>`[WebNN] releaseTensorId {tensorId: ${Q}}`),this.tensorManager.releaseTensorId(Q)}async ensureTensor(Q,J,G,H,K){let z=Ni.get(G);if(!z)throw Error(`Unsupported ONNX data type: ${G}`);return this.tensorManager.ensureTensor(Q??this.currentSessionId,J,z,H,K)}async createTemporaryTensor(Q,J,G){ie("verbose",()=>`[WebNN] createTemporaryTensor {onnxDataType: ${J}, shape: ${G}}`);let H=Ni.get(J);if(!H)throw Error(`Unsupported ONNX data type: ${J}`);let K=this.tensorManager.reserveTensorId();await this.tensorManager.ensureTensor(Q,K,H,G,!1);let z=this.temporarySessionTensorIds.get(Q);return z?z.push(K):this.temporarySessionTensorIds.set(Q,[K]),K}uploadTensor(Q,J){if(!we().shouldTransferToMLTensor)throw Error("Trying to upload to a MLTensor while shouldTransferToMLTensor is false");ie("verbose",()=>`[WebNN] uploadTensor {tensorId: ${Q}, data: ${J.byteLength}}`),this.tensorManager.upload(Q,J)}async downloadTensor(Q,J){return this.tensorManager.download(Q,J)}createMLTensorDownloader(Q,J){return async()=>{let G=await this.tensorManager.download(Q);return ki(G,J)}}registerMLTensor(Q,J,G,H){let K=Ni.get(G);if(!K)throw Error(`Unsupported ONNX data type: ${G}`);let z=this.tensorManager.registerTensor(Q,J,K,H);return ie("verbose",()=>`[WebNN] registerMLTensor {tensor: ${J}, dataType: ${K}, dimensions: ${H}} -> {tensorId: ${z}}`),z}registerMLConstant(Q,J,G,H,K,z,q=!1){if(!z)throw Error("External mounted files are not available.");let F=Q;Q.startsWith("./")&&(F=Q.substring(2));let D=z.get(F);if(!D)throw Error(`File with name ${F} not found in preloaded 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    let dim${m0} = current / ${B(T,m0,q)};
    let rest${m0} = current % ${B(T,m0,q)};
    indices[${m0}] = dim${m0};
    current = rest${m0};
    `;y+=`indices[${q-1}] = current;`;let x=q<2?"":`
  fn o2i_${Q}(offset: u32) -> ${N.indices} {
    var indices: ${N.indices};
    var current = offset;
    ${y}
    return indices;
  }`,b=(m0)=>(R.offsetToIndices=!0,q<2?m0:`o2i_${Q}(${m0})`),g=[];if(q>=2)for(let m0=q-1;m0>=0;m0--)g.push(`${B(T,m0,q)} * (indices[${m0}])`);let l=q<2?"":`
  fn i2o_${Q}(indices: ${N.indices}) -> u32 {
    return ${g.join("+")};
  }`,_=(m0)=>(R.indicesToOffset=!0,q<2?m0:`i2o_${Q}(${m0})`),a=(...m0)=>q===0?"0u":`${N.indices}(${m0.map(I).join(",")})`,r=(m0,ZQ)=>q<2?`${m0}`:`${B(m0,ZQ,q)}`,f0=(m0,ZQ,LQ)=>q<2?`${m0}=${LQ};`:`${B(m0,ZQ,q)}=${LQ};`,t={},p0=(m0,ZQ)=>{R.broadcastedIndicesToOffset=!0;let LQ=`${ZQ.name}broadcastedIndicesTo${Q}Offset`;if(LQ in t)return`${LQ}(${m0})`;let h0=[];for(let pQ=q-1;pQ>=0;pQ--){let iQ=ZQ.indicesGet("outputIndices",pQ+ZQ.rank-q);h0.push(`${r(T,pQ)} * (${iQ} % ${r(E,pQ)})`)}return t[LQ]=`fn ${LQ}(outputIndices: ${ZQ.type.indices}) -> u32 {
             return ${h0.length>0?h0.join("+"):"0u"};
           }`,`${LQ}(${m0})`},u0=(m0,ZQ)=>(()=>{if(N.storage===N.value)return`${Q}[${m0}]=${ZQ};`;if(N.storage==="vec2<u32>"&&N.value==="i32")return`${Q}[${m0}]=vec2<u32>(u32(${ZQ}), select(0u, 0xFFFFFFFFu, ${ZQ} < 0));`;if(N.storage==="vec2<u32>"&&N.value==="u32")return`${Q}[${m0}]=vec2<u32>(u32(${ZQ}), 0u);`;if(N.storage==="u32"&&N.value==="vec4<bool>")return`${Q}[${m0}]=dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(${ZQ}));`;throw Error(`not supported combination of storage type ${N.storage} and value type ${N.value} yet`)})(),d=(m0)=>(()=>{if(N.storage===N.value)return`${Q}[${m0}]`;if(N.storage==="vec2<u32>"&&N.value==="i32")return`i32(${Q}[${m0}].x)`;if(N.storage==="vec2<u32>"&&N.value==="u32")return`u32(${Q}[${m0}].x)`;if(N.storage==="u32"&&N.value==="vec4<bool>")return`vec4<bool>(bool(${Q}[${m0}] & 0xFFu), bool(${Q}[${m0}] & 0xFF00u), bool(${Q}[${m0}] & 0xFF0000u), bool(${Q}[${m0}] & 0xFF000000u))`;throw Error(`not supported combination of storage type ${N.storage} and value type ${N.value} yet`)})(),n=q<2?"":`
  fn get_${Q}ByIndices(indices: ${N.indices}) -> ${O} {
    return ${d(`i2o_${Q}(indices)`)};
  }`,c0=q<2?"":(()=>{let m0=F.map((LQ)=>`d${LQ}: u32`).join(", "),ZQ=F.map((LQ)=>`d${LQ}`).join(", ");return`
  fn get_${Q}(${m0}) -> ${O} {
    return get_${Q}ByIndices(${a(ZQ)});
  }`})(),WQ=(...m0)=>{if(m0.length!==q)throw Error(`indices length must be ${q}`);let ZQ=m0.map(I).join(",");return q===0?d("0u"):q===1?d(ZQ[0]):(R.get=!0,R.getByIndices=!0,R.indicesToOffset=!0,`get_${Q}(${ZQ})`)},R0=(m0)=>q<2?d(m0):(R.getByIndices=!0,R.indicesToOffset=!0,`get_${Q}ByIndices(${m0})`),l0=q<2?"":`
  fn set_${Q}ByIndices(indices: ${N.indices}, value: ${O}) {
    ${u0(`i2o_${Q}(indices)`,"value")}
  }`,d0=q<2?"":(()=>{let m0=F.map((LQ)=>`d${LQ}: u32`).join(", "),ZQ=F.map((LQ)=>`d${LQ}`).join(", ");return`
  fn set_${Q}(${m0}, value: ${O}) {
    set_${Q}ByIndices(${a(ZQ)}, value);
  }`})();return{impl:()=>{let m0=[],ZQ=!1;return R.offsetToIndices&&(m0.push(x),ZQ=!0),R.indicesToOffset&&(m0.push(l),ZQ=!0),R.broadcastedIndicesToOffset&&(Object.values(t).forEach((LQ)=>m0.push(LQ)),ZQ=!0),R.set&&(m0.push(d0),ZQ=!0),R.setByIndices&&(m0.push(l0),ZQ=!0),R.get&&(m0.push(c0),ZQ=!0),R.getByIndices&&(m0.push(n),ZQ=!0),!z&&ZQ&&m0.unshift(`const ${E} = ${N.indices}(${G.join(",")});`,`const ${T} = ${N.indices}(${S.computeStrides(G).join(",")});`),m0.join(`
`)},type:N,offsetToIndices:b,indicesToOffset:_,broadcastedIndicesToOffset:p0,indices:a,indicesGet:r,indicesSet:f0,set:(...m0)=>{if(m0.length!==q+1)throw Error(`indices length must be ${q}`);let ZQ=m0[q];if(typeof ZQ!="string")throw Error("value must be string");let LQ=m0.slice(0,q).map(I).join(",");return q===0?u0("0u",ZQ):q===1?u0(LQ[0],ZQ):(R.set=!0,R.setByIndices=!0,R.indicesToOffset=!0,`set_${Q}(${LQ}, ${ZQ})`)},setByOffset:u0,setByIndices:(m0,ZQ)=>q<2?u0(m0,ZQ):(R.setByIndices=!0,R.indicesToOffset=!0,`set_${Q}ByIndices(${m0}, ${ZQ});`),get:WQ,getByOffset:d,getByIndices:R0,usage:H,name:Q,strides:T,shape:E,rank:q}},A=(Q,J,G,H=1)=>Bi(Q,J,G,"input",H),C=(Q,J,G,H=1)=>Bi(Q,J,G,"output",H),dg=(Q,J,G)=>Bi(Q,J,G,"atomicOutput",1),Fi=(Q,J,G,H=1)=>Bi(Q,J,G,"internal",H),Qu=class{constructor(Q,J){this.normalizedDispatchGroup=Q,this.limits=J,this.internalVariables=[],this.variables=[],this.uniforms=[],this.variableIndex=0}guardAgainstOutOfBoundsWorkgroupSizes(Q){return`if (global_idx >= ${typeof Q=="number"?`${Q}u`:Q}) { return; }`}mainStart(Q=ur){let J=typeof Q=="number"?Q:Q[0],G=typeof Q=="number"?1:Q[1],H=typeof Q=="number"?1:Q[2];if(J>this.limits.maxComputeWorkgroupSizeX||G>this.limits.maxComputeWorkgroupSizeY||H>this.limits.maxComputeWorkgroupSizeZ)throw Error(`workgroup size [${J}, ${G}, ${H}] exceeds the maximum workgroup size [${this.limits.maxComputeWorkgroupSizeX}, ${this.limits.maxComputeWorkgroupSizeY}, ${this.limits.maxComputeWorkgroupSizeZ}].`);if(J*G*H>this.limits.maxComputeInvocationsPerWorkgroup)throw Error(`workgroup size [${J}, ${G}, ${H}] exceeds the maximum workgroup invocations ${this.limits.maxComputeInvocationsPerWorkgroup}.`);let K=this.normalizedDispatchGroup[1]===1&&this.normalizedDispatchGroup[2]===1,z=K?`@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>`,q=K?`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 * ${J*G*H}u + local_idx;`;return`@compute @workgroup_size(${J}, ${G}, ${H})
  fn main(${z}) {
    ${q}
  `}appendVariableUniforms(Q){Q.rank!==0&&(Q.shape.startsWith("uniforms.")&&this.uniforms.push({name:Q.shape.replace("uniforms.",""),type:"u32",length:Q.rank}),Q.strides.startsWith("uniforms.")&&this.uniforms.push({name:Q.strides.replace("uniforms.",""),type:"u32",length:Q.rank}))}declareVariable(Q,J){if(Q.usage==="internal")throw Error("cannot use internal variable with declareVariable(). use registerInternalVariables() instead.");this.variables.push(Q),this.appendVariableUniforms(Q);let G=Q.usage==="input"?"read":"read_write",H=Q.usage==="atomicOutput"?"atomic<i32>":Q.type.storage;return`@group(0) @binding(${J}) var<storage, ${G}> ${Q.name}: array<${H}>;`}declareVariables(...Q){return Q.map((J)=>this.declareVariable(J,this.variableIndex++)).join(`
`)}registerInternalVariable(Q){if(Q.usage!=="internal")throw Error("cannot use input or output variable with registerInternalVariable(). use declareVariables() instead.");this.internalVariables.push(Q),this.appendVariableUniforms(Q)}registerInternalVariables(...Q){return Q.forEach((J)=>this.registerInternalVariable(J)),this}registerUniform(Q,J,G=1){return this.uniforms.push({name:Q,type:J,length:G}),this}registerUniforms(Q){return this.uniforms=this.uniforms.concat(Q),this}uniformDeclaration(){if(this.uniforms.length===0)return"";let Q=[];for(let{name:J,type:G,length:H}of this.uniforms)if(H&&H>4)G==="f16"?Q.push(`@align(16) ${J}:array<mat2x4<${G}>, ${Math.ceil(H/8)}>`):Q.push(`${J}:array<vec4<${G}>, ${Math.ceil(H/4)}>`);else{let K=H==null||H===1?G:`vec${H}<${G}>`;Q.push(`${J}:${K}`)}return`
      struct Uniforms { ${Q.join(", ")} };
      @group(0) @binding(${this.variableIndex}) var<uniform> uniforms: Uniforms;`}get additionalImplementations(){return this.uniformDeclaration()+this.variables.map((Q)=>Q.impl()).join(`
`)+this.internalVariables.map((Q)=>Q.impl()).join(`
`)}get variablesInfo(){if(this.uniforms.length===0)return;let Q=(J)=>[12,10,1,6][["u32","f16","f32","i32"].indexOf(J)];return this.uniforms.map((J)=>[Q(J.type),J.length??1])}},pg=(Q,J)=>new Qu(Q,J)}),qS,fg,jS,KS,XS,ZS,Ge,hg,mg,Pn=$(()=>{X(),ee(),ke(),ne(),qS=(Q,J)=>{if(!Q||Q.length!==1)throw Error("Transpose requires 1 input.");if(J.length!==0&&J.length!==Q[0].dims.length)throw Error(`perm size ${J.length} does not match input rank ${Q[0].dims.length}`)},fg=(Q,J)=>J.length!==0?J:[...Array(Q).keys()].reverse(),jS=(Q,J)=>S.sortBasedOnPerm(Q,fg(Q.length,J)),KS=(Q,J,G,H)=>{let K=`fn perm(i: ${H.type.indices}) -> ${G.type.indices} {
    var a: ${G.type.indices};`;for(let z=0;z<J;++z)K+=`a[${Q[z]}]=i[${z}];`;return K+="return a;}"},XS=(Q,J)=>{let G=[],H=[];for(let K=0;K<Q.length;++K)Q[K]!==1&&G.push(Q[K]),Q[J[K]]!==1&&H.push(J[K]);return{newShape:G,newPerm:H}},ZS=(Q,J)=>{let G=0;for(let H=0;H<Q.length;++H)if(J[Q[H]]!==1){if(Q[H]<G)return!1;G=Q[H]}return!0},Ge=(Q,J)=>{let G=Q.dataType,H=Q.dims.length,K=fg(H,J),z=jS(Q.dims,K),q=Q.dims,F=z,D=H<2||ZS(K,Q.dims),V;if(D)return V=(R)=>{let w=A("input",G,q,4),E=C("output",G,F,4);return`
  ${R.registerUniform("output_size","u32").declareVariables(w,E)}
  ${R.mainStart()}
    ${R.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    output[global_idx] = input[global_idx];
  }`},{name:"TransposeCopy",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let R=S.size(z);return{outputs:[{dims:z,dataType:Q.dataType}],dispatchGroup:{x:Math.ceil(R/64/4)},programUniforms:[{type:12,data:Math.ceil(R/4)}]}},getShaderSource:V};let{newShape:O,newPerm:P}=XS(Q.dims,K),N=S.areEqual(P,[2,3,1]),I=S.areEqual(P,[3,1,2]);if(O.length===2||N||I){q=N?[O[0],O[1]*O[2]]:I?[O[0]*O[1],O[2]]:O,F=[q[1],q[0]];let R=16;return V=(w)=>{let E=A("a",G,q.length),T=C("output",G,F.length);return`
  ${w.registerUniform("output_size","u32").declareVariables(E,T)}
  var<workgroup> tile : array<array<${T.type.value}, ${R+1}>, ${R}>;
  ${w.mainStart([R,R,1])}
    let stride = (uniforms.output_shape[1] - 1) / ${R} + 1;
    let workgroup_id_x = workgroup_index % stride;
    let workgroup_id_y = workgroup_index / stride;
    let input_col = workgroup_id_y * ${R}u + local_id.x;
    let input_row = workgroup_id_x * ${R}u + local_id.y;
    if (input_row < uniforms.a_shape[0] && input_col < uniforms.a_shape[1]) {
      tile[local_id.y][local_id.x] = ${E.getByIndices(`${E.type.indices}(input_row, input_col)`)};
    }
    workgroupBarrier();

    let output_col = workgroup_id_x * ${R}u + local_id.x;
    let output_row = workgroup_id_y * ${R}u + local_id.y;
    if (output_row < uniforms.output_shape[0] && output_col < uniforms.output_shape[1]) {
      ${T.setByIndices(`${T.type.indices}(output_row, output_col)`,"tile[local_id.x][local_id.y]")}
    }
  }`},{name:"TransposeShared",shaderCache:{inputDependencies:["type"]},getRunData:()=>{let w=S.size(z);return{outputs:[{dims:z,dataType:Q.dataType}],dispatchGroup:{x:Math.ceil(F[1]/R),y:Math.ceil(F[0]/R)},programUniforms:[{type:12,data:w},...k(q,F)]}},getShaderSource:V}}return V=(R)=>{let w=A("a",G,q.length),E=C("output",G,F.length);return`
  ${R.registerUniform("output_size","u32").declareVariables(w,E)}

  ${KS(K,H,w,E)}

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

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

    ${E.setByOffset("global_idx",w.getByIndices("aIndices"))}
  }`},{name:"Transpose",shaderCache:{hint:`${J}`,inputDependencies:["rank"]},getRunData:()=>{let R=S.size(z);return{outputs:[{dims:z,dataType:Q.dataType}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:[{type:12,data:R},...k(q,F)]}},getShaderSource:V}},hg=(Q,J)=>{qS(Q.inputs,J.perm),Q.compute(Ge(Q.inputs[0],J.perm))},mg=(Q)=>Z({perm:Q.perm})}),JS,QS,YS,e1,t1,n1,r1,o1,i1,a1,yn,gg,bg,yg,_g,xg,wg,Tg,vg,Ig,Sg,$g=$(()=>{X(),ee(),ne(),Vi(),Pn(),JS={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate * candidate",logSumExp:"bestValue + exp(candidate)",l1:"bestValue + abs(candidate)",l2:"bestValue + candidate * candidate",logSum:"bestValue + candidate"},QS={max:"select(bestValue, candidate, candidate > bestValue)",min:"select(bestValue, candidate, candidate < bestValue)",mean:"bestValue + candidate",sum:"bestValue + candidate",prod:"bestValue * candidate",sumSquare:"bestValue + candidate",logSumExp:"bestValue + candidate",l1:"bestValue + candidate",l2:"bestValue + candidate",logSum:"bestValue + candidate"},YS={max:"_A[offset]",min:"_A[offset]",mean:"0",sum:"0",prod:"1",sumSquare:"0",logSumExp:"0",l1:"0",l2:"0",logSum:"0"},e1={max:"bestValue",min:"bestValue",sum:"bestValue",prod:"bestValue",sumSquare:"bestValue",logSumExp:"log(bestValue)",l1:"bestValue",l2:"sqrt(bestValue)",logSum:"log(bestValue)"},t1=(Q,J)=>{let G=[];for(let H=J-Q;H<J;++H)G.push(H);return G},n1=(Q,J)=>{let G=[],H=Q.length;for(let z=0;z<H;z++)J.indexOf(z)===-1&&G.push(Q[z]);let K=J.map((z)=>Q[z]);return[G,K]},r1=(Q,J)=>{let G=Q.length+J.length,H=[],K=0;for(let z=0;z<G;z++)J.indexOf(z)===-1?H.push(Q[K++]):H.push(1);return H},o1=(Q,J)=>{for(let G=0;G<Q.length;++G)if(Q[Q.length-G-1]!==J-1-G)return!1;return!0},i1=(Q,J)=>{let G=[];if(!o1(Q,J)){for(let H=0;H<J;++H)Q.indexOf(H)===-1&&G.push(H);Q.forEach((H)=>G.push(H))}return G},a1=(Q,J,G,H,K,z,q)=>{let F=G[0].dims,D=S.size(z),V=S.size(q),O=A("_A",G[0].dataType,F),P=C("output",K,z),N=64;D===1&&(N=256);let I=`
          var<workgroup> aBestValues : array<f32, ${N}>;
       `,R=(w)=>`
        ${w.registerUniform("reduceSize","u32").declareVariables(O,P)}
        ${I}
        fn DIV_CEIL(a : u32, b : u32) -> u32 {
          return ((a - 1u) / b + 1u);
         }
         ${w.mainStart(N)}

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

          var bestValue = f32(${YS[H]});
          let Length = uniforms.reduceSize;
          for (var k = local_idx; k < Length; k = k + ${N}) {
           let candidate = f32(${O.getByOffset("offset + k")});
           bestValue = ${JS[H]};
          }
          aBestValues[local_idx] = bestValue;
          workgroupBarrier();

         var reduceSize = min(Length, ${N}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 = ${QS[H]};
            aBestValues[local_idx] = bestValue;
           }
           reduceSize = interval;
           workgroupBarrier();
         }

         if (local_idx == 0u) {
          ${P.setByOffset("outputIndex",`${H==="mean"?`${P.type.storage}(bestValue / f32(uniforms.reduceSize))`:`${P.type.storage}(${e1[H]})`}`)};
         }
        }`;return{name:Q,shaderCache:{hint:`${J};${N}`,inputDependencies:["type"]},getShaderSource:R,getRunData:()=>({outputs:[{dims:z,dataType:K}],dispatchGroup:{x:D},programUniforms:[{type:12,data:V}]})}},yn=(Q,J,G,H)=>{let K=Q.inputs.length===1?G:tl(Q.inputs,G),z=K.axes;z.length===0&&!K.noopWithEmptyAxes&&(z=Q.inputs[0].dims.map((I,R)=>R));let q=S.normalizeAxes(z,Q.inputs[0].dims.length),F=q,D=Q.inputs[0],V=i1(F,Q.inputs[0].dims.length);V.length>0&&(D=Q.compute(Ge(Q.inputs[0],V),{inputs:[0],outputs:[-1]})[0],F=t1(F.length,D.dims.length));let[O,P]=n1(D.dims,F),N=O;K.keepDims&&(N=r1(O,q)),Q.compute(a1(J,K.cacheKey,[D],H,Q.inputs[0].dataType,N,P),{inputs:[D]})},gg=(Q,J)=>{yn(Q,"ReduceMeanShared",J,"mean")},bg=(Q,J)=>{yn(Q,"ReduceL1Shared",J,"l1")},yg=(Q,J)=>{yn(Q,"ReduceL2Shared",J,"l2")},_g=(Q,J)=>{yn(Q,"ReduceLogSumExpShared",J,"logSumExp")},xg=(Q,J)=>{yn(Q,"ReduceMaxShared",J,"max")},wg=(Q,J)=>{yn(Q,"ReduceMinShared",J,"min")},Tg=(Q,J)=>{yn(Q,"ReduceProdShared",J,"prod")},vg=(Q,J)=>{yn(Q,"ReduceSumShared",J,"sum")},Ig=(Q,J)=>{yn(Q,"ReduceSumSquareShared",J,"sumSquare")},Sg=(Q,J)=>{yn(Q,"ReduceLogSumShared",J,"logSum")}}),_n,s1,Gi,tl,xn,u1,l1,c1,d1,p1,f1,h1,m1,g1,b1,wn,Ag,Pg,Og,Eg,Cg,Dg,kg,Lg,Rg,Ng,Vi=$(()=>{X(),ee(),ke(),ne(),$g(),_n=(Q)=>{if(!Q||Q.length===0||Q.length>2)throw Error("Reduce op requires 1 or 2 inputs.");if(Q.length===2&&Q[1].dims.length!==1)throw Error("Invalid axes input dims.")},s1=(Q)=>["","",`var value = ${Q.getByIndices("input_indices")};`,""],Gi=(Q,J,G,H,K,z,q=!1,F=!1)=>{let D=[],V=G[0].dims,O=V.length,P=S.normalizeAxes(K,O),N=!F&&P.length===0;V.forEach((w,E)=>{N||P.indexOf(E)>=0?q&&D.push(1):D.push(w)});let I=D.length,R=S.size(D);return{name:Q,shaderCache:J,getShaderSource:(w)=>{let E=[],T=A("_A",G[0].dataType,O),y=C("output",z,I),x=H(T,y,P),b=x[2];for(let g=0,l=0;g<O;g++)N||P.indexOf(g)>=0?(q&&l++,b=`for(var j${g}: u32 = 0; j${g} < ${V[g]}; j${g}++) {
                  ${x[2].includes("last_index")?`let last_index = j${g};`:""}
                  ${T.indicesSet("input_indices",g,`j${g}`)}
                  ${b}
                }`):(E.push(`${T.indicesSet("input_indices",g,y.indicesGet("output_indices",l))};`),l++);return`

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

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

          ${E.join(`
`)}
          ${x[0]}       // init ops for reduce max/min
          ${x[1]}
          ${b}
          ${x[3]}
          ${x.length===4?y.setByOffset("global_idx","value"):x.slice(4).join(`
`)}
        }`},getRunData:()=>({outputs:[{dims:D,dataType:z}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:[{type:12,data:R},...k(V,D)]})}},tl=(Q,J)=>{let G=[];return Q[1].dims[0]>0&&Q[1].getBigInt64Array().forEach((H)=>G.push(Number(H))),Z({axes:G,keepDims:J.keepDims,noopWithEmptyAxes:J.noopWithEmptyAxes})},xn=(Q,J,G,H)=>{let K=Q.inputs,z=K.length===1?G:tl(K,G);Q.compute(Gi(J,{hint:z.cacheKey,inputDependencies:["rank"]},[K[0]],z.noopWithEmptyAxes&&z.axes.length===0?s1:H,z.axes,K[0].dataType,z.keepDims,z.noopWithEmptyAxes),{inputs:[0]})},u1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceLogSum",J,(G,H)=>[`var value = ${H.type.storage}(0);`,"",`value += ${G.getByIndices("input_indices")};`,"value = log(value);"])},l1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceL1",J,(G,H)=>[`var value = ${H.type.storage}(0);`,"",`value += abs(${G.getByIndices("input_indices")});`,""])},c1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceL2",J,(G,H)=>[`var t = ${H.type.value}(0); var value = ${H.type.value}(0);`,"",`t = ${G.getByIndices("input_indices")}; value += (t * t);`,"value = sqrt(value);"])},d1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceLogSumExp",J,(G,H)=>[`var value = ${H.type.storage}(0);`,"",`value += exp(${G.getByIndices("input_indices")});`,"value = log(value);"])},p1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceMax",J,(G,H,K)=>{let z=[];for(let q=0;q<G.rank;q++)(K.indexOf(q)>=0||K.length===0)&&z.push(G.indicesSet("input_indices",q,0));return[`${z.join(`
`)}`,`var value = ${G.getByIndices("input_indices")};`,`value = max(value, ${G.getByIndices("input_indices")});`,""]})},f1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceMean",J,(G,H,K)=>{let z=1;for(let q=0;q<G.rank;q++)(K.indexOf(q)>=0||K.length===0)&&(z*=Q.inputs[0].dims[q]);return["var sum = f32(0);","",`sum += f32(${G.getByIndices("input_indices")});`,`let value = ${H.type.value}(sum / ${z});`]})},h1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceMin",J,(G,H,K)=>{let z=[];for(let q=0;q<G.rank;q++)(K.indexOf(q)>=0||K.length===0)&&z.push(`input_indices[${q}] = 0;`);return[`${z.join(`
`)}`,`var value = ${G.getByIndices("input_indices")};`,`value = min(value, ${G.getByIndices("input_indices")});`,""]})},m1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceProd",J,(G,H)=>[`var value = ${H.type.storage}(1);`,"",`value *= ${G.getByIndices("input_indices")};`,""])},g1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceSum",J,(G,H)=>[`var value = ${H.type.storage}(0);`,"",`value += ${G.getByIndices("input_indices")};`,""])},b1=(Q,J)=>{_n(Q.inputs),xn(Q,"ReduceSumSquare",J,(G,H)=>[`var t = ${H.type.value}(0); var value = ${H.type.value}(0);`,"",`t = ${G.getByIndices("input_indices")}; value += t * t;`,""])},wn=(Q,J,G)=>{if(J.length===0)return G;let H=1,K=1;for(let z=0;z<J.length;z++)J.indexOf(z)===-1?H*=Q[z]:K*=Q[z];return K<32&&H>1024},Ag=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?f1(Q,J):gg(Q,J)},Pg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?l1(Q,J):bg(Q,J)},Og=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?c1(Q,J):yg(Q,J)},Eg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?d1(Q,J):_g(Q,J)},Cg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?p1(Q,J):xg(Q,J)},Dg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?h1(Q,J):wg(Q,J)},kg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?m1(Q,J):Tg(Q,J)},Lg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?g1(Q,J):vg(Q,J)},Rg=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?b1(Q,J):Ig(Q,J)},Ng=(Q,J)=>{wn(Q.inputs[0].dims,J.axes,J.noopWithEmptyAxes)?u1(Q,J):Sg(Q,J)}}),zg,Mg,Bg,nl,Fg=$(()=>{X(),ke(),Vi(),zg=(Q)=>{if(!Q||Q.length===0||Q.length>2)throw Error("ArgMinMaxOp op requires 1 or 2 inputs.");if(Q[0].dataType!==1)throw Error("Invalid input type.")},Mg=(Q,J)=>{zg(Q.inputs);let G=(H,K,z)=>{let q=[];for(let F=0;F<H.rank;F++)(z.indexOf(F)>=0||z.length===0)&&q.push(`input_indices[${F}] = 0;`);return[`${q.join(`
`)}`,`var value = ${H.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${H.getByIndices("input_indices")} ${J.selectLastIndex>0?"<=":"<"} value) {
         value = ${H.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",K.setByOffset("global_idx","best_index")]};Q.compute(Gi("ArgMin",{hint:J.cacheKey,inputDependencies:["rank"]},[Q.inputs[0]],G,[J.axis],7,J.keepDims),{inputs:[0]})},Bg=(Q,J)=>{zg(Q.inputs);let G=(H,K,z)=>{let q=[];for(let F=0;F<H.rank;F++)(z.indexOf(F)>=0||z.length===0)&&q.push(`input_indices[${F}] = 0;`);return[`${q.join(`
`)}`,`var value = ${H.getByIndices("input_indices")};
var best_index : i32 = 0;`,`if (${H.getByIndices("input_indices")} ${J.selectLastIndex>0?">=":">"} value) {
         value = ${H.getByIndices("input_indices")};
         best_index = i32(last_index);
       }`,"",K.setByOffset("global_idx","best_index")]};Q.compute(Gi("argMax",{hint:J.cacheKey,inputDependencies:["rank"]},[Q.inputs[0]],G,[J.axis],7,J.keepDims),{inputs:[0]})},nl=(Q)=>Z(Q)}),y1,rl,_1,x1,w1,Ar,T1,Vg,Ui=$(()=>{X(),ee(),Mi(),ne(),y1=(Q,J)=>{let G=Q[0],H=Q[1],K=Q[2],z=Q[3],q=Q[4],F=Q[5];if(q&&F)throw Error("Attention cannot have both past and attention_bias");if(G.dims.length!==3)throw Error('Input "input" must have 3 dimensions');let D=G.dims[0],V=G.dims[1],O=G.dims[2];if(K.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimensions');if(H.dims.length!==2)throw Error('Input "weights" is expected to have 2 dimensions');if(H.dims[0]!==O)throw Error("Input 1 dimension 0 should have same length as dimension 2 of input 0");if(K.dims[0]!==H.dims[1])throw Error('Input "bias" dimension 0 should have same length as dimension 1 of input "weights"');let P=K.dims[0]/3,N=P,I=N;if(J.qkvHiddenSizes.length>0){if(J.qkvHiddenSizes.length!==3)throw Error("qkv_hidden_sizes attribute should have 3 elements");for(let x of J.qkvHiddenSizes)if(x%J.numHeads!==0)throw Error("qkv_hidden_sizes should be divisible by num_heads");P=J.qkvHiddenSizes[0],N=J.qkvHiddenSizes[1],I=J.qkvHiddenSizes[2]}let R=V;if(P!==N)throw Error("qkv_hidden_sizes first element should be same as the second");if(K.dims[0]!==P+N+I)throw Error('Input "bias" dimension 0 should have same length as sum of Q/K/V hidden sizes');let w=0;if(q){if(N!==I)throw Error('Input "past" expect k_hidden_size == v_hidden_size');if(q.dims.length!==5)throw Error('Input "past" must have 5 dimensions');if(q.dims[0]!==2)throw Error('Input "past" first dimension must be 2');if(q.dims[1]!==D)throw Error('Input "past" second dimension must be batch_size');if(q.dims[2]!==J.numHeads)throw Error('Input "past" third dimension must be num_heads');if(q.dims[4]!==N/J.numHeads)throw Error('Input "past" fifth dimension must be k_hidden_size / num_heads');J.pastPresentShareBuffer||(w=q.dims[3])}let E=R+w,T=-1,y=0;if(z)throw Error("Mask not supported");if(q)throw Error("past is not supported");if(F){if(F.dims.length!==4)throw Error('Input "attention_bias" must have 4 dimensions');if(F.dims[0]!==D||F.dims[1]!==J.numHeads||F.dims[2]!==V||F.dims[3]!==E)throw Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:D,sequenceLength:V,pastSequenceLength:w,kvSequenceLength:R,totalSequenceLength:E,maxSequenceLength:T,inputHiddenSize:O,hiddenSize:P,vHiddenSize:I,headSize:Math.floor(P/J.numHeads),vHeadSize:Math.floor(I/J.numHeads),numHeads:J.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:J.maskFilterValue,maskType:y,scale:J.scale,broadcastResPosBias:!1,passPastInKv:!1,qkvFormat:1}},rl=(Q,J,G)=>J&&Q?`
      let total_sequence_length_input = u32(${J.getByOffset("0")});
      let present_sequence_length = max(total_sequence_length_input, uniforms.past_sequence_length);
      let is_subsequent_prompt: bool = sequence_length > 1 && sequence_length != total_sequence_length_input;
      let is_first_prompt: bool = is_subsequent_prompt == false && sequence_length == total_sequence_length_input;
      total_sequence_length = u32(${Q?.getByOffset("batchIdx")}) + 1;
      var past_sequence_length: u32 = 0;
      if (is_first_prompt == false) {
        past_sequence_length = total_sequence_length - sequence_length;
      }
       `:`
    ${G?"let past_sequence_length = uniforms.past_sequence_length":""};
    let present_sequence_length = total_sequence_length;
    `,_1=(Q,J,G,H,K,z,q,F)=>{let D=he(q?1:z),V=64,O=z/D;O<V&&(V=32);let P=Math.ceil(z/D/V),N=[{type:12,data:J},{type:12,data:G},{type:12,data:H},{type:12,data:K},{type:12,data:O},{type:12,data:P}],I=ve(Q.dataType,D),R=Ve(1,D),w=["type"];q&&w.push("type"),F&&w.push("type");let E=(T)=>{let y=C("x",Q.dataType,Q.dims,D),x=[y],b=q?A("seq_lens",q.dataType,q.dims):void 0;b&&x.push(b);let g=F?A("total_sequence_length_input",F.dataType,F.dims):void 0;g&&x.push(g);let l=Ve(Q.dataType),_=[{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, ${V}>;
  var<workgroup> thread_sum: array<f32, ${V}>;
  ${T.registerUniforms(_).declareVariables(...x)}
  ${T.mainStart([V,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;
    ${rl(b,g,!1)}
    let local_offset = local_idx * uniforms.elements_per_thread;
    let offset = (global_idx / ${V}) * uniforms.total_sequence_length + local_offset;
    let seq_causal_length = ${q?"u32(past_sequence_length + workgroup_id.y + 1)":"total_sequence_length"};
    var thread_max_vector = ${R}(-3.4028234663852886e+38f);
    for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
      thread_max_vector = max(${R}(x[offset + i]), thread_max_vector);
    }
    thread_max[local_idx] = ${(()=>{switch(D){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 Error(`Unsupported components: ${D}`)}})()};
    workgroupBarrier();

    var max_value =  f32(-3.4028234663852886e+38f);
    for (var i = 0u; i < ${V}; i++) {
      max_value = max(thread_max[i], max_value);
    }

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

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

    if (sum == 0) {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
        x[offset + i] = ${y.type.value}(${l}(1.0) / ${l}(seq_causal_length));
      }
    } else {
      for (var i: u32 = 0; i < uniforms.elements_per_thread && i + local_offset < seq_causal_length; i++) {
        var f32input = ${R}(x[offset + i]);
        x[offset + i] = ${y.type.value}(exp(f32input - max_value) / sum);
      }
    }
      ${q?`
        for (var total_seq_id: u32 = seq_causal_length; total_seq_id + local_offset < uniforms.total_sequence_length; total_seq_id++) {
          x[offset + total_seq_id] = ${y.type.value}(${l}(0));
        }`:""};
  }`};return{name:"AttentionProbsSoftmax",shaderCache:{hint:`${V};${I};${D}`,inputDependencies:w},getShaderSource:E,getRunData:()=>({outputs:[],dispatchGroup:{x:1,y:K,z:J*G},programUniforms:N})}},x1=(Q,J,G,H,K,z,q,F,D)=>{let V=q+z.kvSequenceLength,O=[z.batchSize,z.numHeads,z.sequenceLength,V],P=Q>1&&H,N=z.kvNumHeads?z.kvNumHeads:z.numHeads,I=P?[z.batchSize,N,V,z.headSize]:void 0,R=z.nReps?z.nReps:1,w=z.scale===0?1/Math.sqrt(z.headSize):z.scale,E=he(z.headSize),T=z.headSize/E,y=12,x={x:Math.ceil(V/y),y:Math.ceil(z.sequenceLength/y),z:z.batchSize*z.numHeads},b=[{type:12,data:z.sequenceLength},{type:12,data:T},{type:12,data:V},{type:12,data:z.numHeads},{type:12,data:z.headSize},{type:1,data:w},{type:12,data:q},{type:12,data:z.kvSequenceLength},{type:12,data:R}],g=P&&H&&S.size(H.dims)>0,l=["type","type"];g&&l.push("type"),K&&l.push("type"),F&&l.push("type"),D&&l.push("type");let _=[{dims:O,dataType:J.dataType,gpuDataType:0}];P&&_.push({dims:I,dataType:J.dataType,gpuDataType:0});let a=(r)=>{let f0=A("q",J.dataType,J.dims,E),t=A("key",G.dataType,G.dims,E),p0=[f0,t];if(g){let l0=A("past_key",H.dataType,H.dims,E);p0.push(l0)}K&&p0.push(A("attention_bias",K.dataType,K.dims));let u0=F?A("seq_lens",F.dataType,F.dims):void 0;u0&&p0.push(u0);let d=D?A("total_sequence_length_input",D.dataType,D.dims):void 0;d&&p0.push(d);let n=C("output",J.dataType,O),c0=[n];P&&c0.push(C("present_key",J.dataType,I,E));let WQ=Ve(1,E),R0=[{name:"M",type:"u32"},{name:"K",type:"u32"},{name:"N",type:"u32"},{name:"num_heads",type:"u32"},{name:"head_size",type:"u32"},{name:"alpha",type:"f32"},{name:"past_sequence_length",type:"u32"},{name:"kv_sequence_length",type:"u32"},{name:"n_reps",type:"u32"}];return`
  const TILE_SIZE = ${y}u;

  var<workgroup> tileQ: array<${f0.type.storage}, ${y*y}>;
  var<workgroup> tileK: array<${f0.type.storage}, ${y*y}>;
  ${r.registerUniforms(R0).declareVariables(...p0,...c0)}
  ${r.mainStart([y,y,1])}
    // x holds the N and y holds the M
    let headIdx = workgroup_id.z % uniforms.num_heads;
    let kvHeadIdx = ${R===1?"headIdx":"headIdx / uniforms.n_reps"};
    let kv_num_heads = ${R===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;
    ${rl(u0,d,!0)}
    let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx;
    let qOffset = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
    ${g&&P?"let pastKeyOffset = absKvHeadIdx * uniforms.past_sequence_length * uniforms.K;":""};
    let kOffset = absKvHeadIdx * uniforms.kv_sequence_length * uniforms.K;
    ${P?"let presentKeyOffset = absKvHeadIdx * uniforms.N * uniforms.K;":""}
    var value = ${WQ}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (global_id.y < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = q[qOffset + local_id.y * uniforms.K + w + local_id.x];
      }
      if (n + local_id.y < uniforms.N && w + local_id.x < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
      ${g&&P?`
              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];
          }`}
      ${P?`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 += ${WQ}(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(E){case 1:return"value";case 2:return"value.x + value.y";case 4:return"value.x + value.y + value.z + value.w";default:throw Error(`Unsupported components: ${E}`)}})()};
        output[outputIdx] = ${n.type.value} (sum * uniforms.alpha) + ${K?"attention_bias[outputIdx]":"0.0"};
    }
  }`};return{name:"AttentionProbs",shaderCache:{hint:`${E};${K!==void 0};${H!==void 0};${Q}`,inputDependencies:l},getRunData:()=>({outputs:_,dispatchGroup:x,programUniforms:b}),getShaderSource:a}},w1=(Q,J,G,H,K,z,q=void 0,F=void 0)=>{let D=z+K.kvSequenceLength,V=K.nReps?K.nReps:1,O=K.vHiddenSize*V,P=Q>1&&H,N=K.kvNumHeads?K.kvNumHeads:K.numHeads,I=P?[K.batchSize,N,D,K.headSize]:void 0,R=[K.batchSize,K.sequenceLength,O],w=12,E={x:Math.ceil(K.vHeadSize/w),y:Math.ceil(K.sequenceLength/w),z:K.batchSize*K.numHeads},T=[{type:12,data:K.sequenceLength},{type:12,data:D},{type:12,data:K.vHeadSize},{type:12,data:K.numHeads},{type:12,data:K.headSize},{type:12,data:O},{type:12,data:z},{type:12,data:K.kvSequenceLength},{type:12,data:V}],y=P&&H&&S.size(H.dims)>0,x=["type","type"];y&&x.push("type"),q&&x.push("type"),F&&x.push("type");let b=[{dims:R,dataType:J.dataType,gpuDataType:0}];P&&b.push({dims:I,dataType:J.dataType,gpuDataType:0});let g=(l)=>{let _=A("probs",J.dataType,J.dims),a=A("v",G.dataType,G.dims),r=[_,a];y&&r.push(A("past_value",H.dataType,H.dims));let f0=q?A("seq_lens",q.dataType,q.dims):void 0;q&&r.push(f0);let t=F?A("total_sequence_length_input",F.dataType,F.dims):void 0;F&&r.push(t);let p0=[C("output",J.dataType,R)];P&&p0.push(C("present_value",J.dataType,I));let u0=[{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 = ${w}u;
  var<workgroup> tileQ: array<${_.type.value}, ${w*w}>;
  var<workgroup> tileV: array<${_.type.value}, ${w*w}>;
  ${l.registerUniforms(u0).declareVariables(...r,...p0)}
  ${l.mainStart([w,w,1])}
   let headIdx = workgroup_id.z % uniforms.num_heads;
   let batchIdx = workgroup_id.z / uniforms.num_heads;
   let kvHeadIdx = ${V===1?"headIdx":"headIdx / uniforms.n_reps"};
   let kv_num_heads = ${V===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;
   ${rl(f0,t,!0)}
   let offsetA = workgroup_id.z * uniforms.M * uniforms.K + m * uniforms.K;
   let absKvHeadIdx = batchIdx * kv_num_heads + kvHeadIdx; // kvHeadIdx is relative to the batch
   ${y&&P?"let pastValueOffset = absKvHeadIdx * uniforms.N * uniforms.past_sequence_length + n;":""};
   let vOffset = absKvHeadIdx * uniforms.N * uniforms.kv_sequence_length + n;
   ${P?"let presentValueOffset = absKvHeadIdx * uniforms.N * uniforms.K + n;":""}
   var value = ${_.type.storage}(0);
   for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileQ[TILE_SIZE * local_id.y + local_id.x] = probs[offsetA + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        var idx = TILE_SIZE * local_id.y + local_id.x;
        ${y&&P?`
        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];
            }`}
        ${P?`
            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:`${H!==void 0};${Q}`,inputDependencies:x},getRunData:()=>({outputs:b,dispatchGroup:E,programUniforms:T}),getShaderSource:g}},Ar=(Q,J,G,H,K,z,q,F,D,V,O=void 0,P=void 0)=>{let N=Math.min(Q.outputCount,1+(q?1:0)+(F?1:0)),I=N>1?q:void 0,R=N>1?F:void 0,w=N>1?V.pastSequenceLength:0,E=w+V.kvSequenceLength,T=D&&S.size(D.dims)>0?D:void 0,y=[J,G];I&&S.size(I.dims)>0&&y.push(I),T&&y.push(T),O&&y.push(O),P&&y.push(P);let x=Q.compute(x1(N,J,G,I,T,V,w,O,P),{inputs:y,outputs:N>1?[-1,1]:[-1]})[0];Q.compute(_1(x,V.batchSize,V.numHeads,w,V.sequenceLength,E,O,P),{inputs:O&&P?[x,O,P]:[x],outputs:[]});let b=[x,H];R&&S.size(R.dims)>0&&b.push(R),O&&b.push(O),P&&b.push(P),Q.compute(w1(N,x,H,R,V,w,O,P),{inputs:b,outputs:N>1?[0,2]:[0]})},T1=(Q,J)=>{let G=[J.batchSize,J.numHeads,J.sequenceLength,J.headSize],H=J.sequenceLength,K=J.inputHiddenSize,z=J.headSize,q=12,F={x:Math.ceil(J.headSize/q),y:Math.ceil(J.sequenceLength/q),z:J.batchSize*J.numHeads},D=[Q.inputs[0],Q.inputs[1],Q.inputs[2]],V=[{type:12,data:H},{type:12,data:K},{type:12,data:z},{type:12,data:J.numHeads},{type:12,data:J.headSize},{type:12,data:J.hiddenSize},{type:12,data:J.hiddenSize+J.hiddenSize+J.vHiddenSize}],O=(P)=>{let N=C("output_q",D[0].dataType,G),I=C("output_k",D[0].dataType,G),R=C("output_v",D[0].dataType,G),w=A("input",D[0].dataType,D[0].dims),E=A("weight",D[1].dataType,D[1].dims),T=A("bias",D[2].dataType,D[2].dims),y=w.type.storage,x=[{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 = ${q}u;
  var<workgroup> tileInput: array<${y}, ${q*q}>;
  var<workgroup> tileWeightQ: array<${y}, ${q*q}>;
  var<workgroup> tileWeightK: array<${y}, ${q*q}>;
  var<workgroup> tileWeightV: array<${y}, ${q*q}>;
  ${P.registerUniforms(x).declareVariables(w,E,T,N,I,R)}
  ${P.mainStart([q,q,1])}
    let batchIndex = workgroup_id.z / uniforms.num_heads;
    let headNumber = workgroup_id.z % uniforms.num_heads;
    let m = global_id.y;
    let n = global_id.x;

    let inputOffset = batchIndex * (uniforms.M * uniforms.K) + m * uniforms.K;
    let biasOffsetQ = headNumber * uniforms.head_size;
    let biasOffsetK = uniforms.hidden_size + biasOffsetQ;
    let biasOffsetV = uniforms.hidden_size + biasOffsetK;

    var valueQ = ${y}(0);
    var valueK = ${y}(0);
    var valueV = ${y}(0);
    for (var w: u32 = 0u; w < uniforms.K; w += TILE_SIZE) {
      if (m < uniforms.M && w + local_id.x < uniforms.K) {
        tileInput[TILE_SIZE * local_id.y + local_id.x] = input[inputOffset + w + local_id.x];
      }
      if (n < uniforms.N && w + local_id.y < uniforms.K) {
        let offset = n + (w + local_id.y) * uniforms.ldb;
        tileWeightQ[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetQ + offset];
        tileWeightK[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetK + offset];
        tileWeightV[TILE_SIZE * local_id.y + local_id.x] = weight[biasOffsetV + offset];
      }
      workgroupBarrier();
      for (var k: u32 = 0u; k<TILE_SIZE && w+k < uniforms.K; k++) {
        let inputTileOffset = TILE_SIZE * local_id.y + k;
        let weightTileOffset = TILE_SIZE * k + local_id.x;
        valueQ += tileInput[inputTileOffset] * tileWeightQ[weightTileOffset];
        valueK += tileInput[inputTileOffset] * tileWeightK[weightTileOffset];
        valueV += tileInput[inputTileOffset] * tileWeightV[weightTileOffset];
      }

      workgroupBarrier();
    }

    let headOffset = (m * uniforms.N + n) % uniforms.head_size;
    valueQ += bias[headOffset + biasOffsetQ];
    valueK += bias[headOffset + biasOffsetK];
    valueV += bias[headOffset + biasOffsetV];

    let offset = workgroup_id.z * uniforms.M * uniforms.N;
    if (m < uniforms.M && n < uniforms.N) {
      let outputIdx = offset + m * uniforms.N + n;
      output_q[outputIdx] = valueQ;
      output_k[outputIdx] = valueK;
      output_v[outputIdx] = valueV;
    }
  }`};return Q.compute({name:"AttentionPrepare",shaderCache:{inputDependencies:["type","type","type"]},getRunData:()=>({outputs:[{dims:G,dataType:Q.inputs[0].dataType,gpuDataType:0},{dims:G,dataType:Q.inputs[0].dataType,gpuDataType:0},{dims:G,dataType:Q.inputs[0].dataType,gpuDataType:0}],dispatchGroup:F,programUniforms:V}),getShaderSource:O},{inputs:D,outputs:[-1,-1,-1]})},Vg=(Q,J)=>{let G=y1(Q.inputs,J),[H,K,z]=T1(Q,G);return Ar(Q,H,K,z,Q.inputs[4],void 0,void 0,void 0,Q.inputs[5],G)}}),v1,I1,S1,Gg,Ug=$(()=>{qe(),X(),ee(),ke(),ne(),v1=(Q,J)=>{if(!Q||Q.length!==5)throw Error("BatchNormalization requires 5 inputs");let G=(H,K,z)=>{let q=K.length;if(q!==H.length)throw Error(`${z}: num dimensions != ${q}`);K.forEach((F,D)=>{if(F!==H[D])throw Error(`${z}: dim[${D}] do not match`)})};if(Q[0].dims.length>1){let H=J.format==="NHWC"?J.spatial?Q[0].dims.slice(-1):Q[0].dims.slice(-1).concat(Q[0].dims.slice(1,Q[0].dims.length-1)):Q[0].dims.slice(1,J.spatial?2:void 0);G(Q[1].dims,H,"Invalid input scale"),G(Q[2].dims,H,"Invalid input B"),G(Q[3].dims,H,"Invalid input mean"),G(Q[4].dims,H,"Invalid input var")}else G(Q[1].dims,[1],"Invalid input scale"),G(Q[2].dims,[1],"Invalid input B"),G(Q[3].dims,[1],"Invalid input mean"),G(Q[4].dims,[1],"Invalid input var")},I1=(Q,J)=>{let{epsilon:G,spatial:H,format:K}=J,z=Q[0].dims,q=H?he(z[z.length-1]):1,F=K==="NHWC"&&z.length>1?q:1,D=S.size(z)/q,V=H,O=V?z.length:z,P=A("x",Q[0].dataType,Q[0].dims,q),N=A("scale",Q[1].dataType,Q[1].dims,F),I=A("bias",Q[2].dataType,Q[2].dims,F),R=A("inputMean",Q[3].dataType,Q[3].dims,F),w=A("inputVar",Q[4].dataType,Q[4].dims,F),E=C("y",Q[0].dataType,O,q),T=()=>{let x="";if(H)x=`let cOffset = ${z.length===1?"0u":K==="NHWC"?`outputIndices[${z.length-1}] / ${q}`:"outputIndices[1]"};`;else if(K==="NCHW")x=`
            ${E.indicesSet("outputIndices","0","0")}
            let cOffset = ${E.indicesToOffset("outputIndices")};`;else{x=`var cIndices = ${N.type.indices}(0);
                       cIndices[0] = outputIndices[${z.length-1}];`;for(let b=1;b<N.rank;b++)x+=`cIndices[${b}] = outputIndices[${b}];`;x+=`let cOffset = ${N.indicesToOffset("cIndices")};`}return x},y=(x)=>`
  const epsilon = ${G};
  ${x.registerUniform("outputSize","u32").declareVariables(P,N,I,R,w,E)}
  ${x.mainStart()}
  ${x.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
    var outputIndices = ${E.offsetToIndices(`global_idx * ${q}`)};
    ${T()}
    let scale = ${N.getByOffset("cOffset")};
    let bias = ${I.getByOffset("cOffset")};
    let inputMean = ${R.getByOffset("cOffset")};
    let inputVar = ${w.getByOffset("cOffset")};
    let x = ${P.getByOffset("global_idx")};
    let value = (x - inputMean) * inverseSqrt(inputVar + epsilon) * scale + bias;
    ${E.setByOffset("global_idx","value")}
  }`;return{name:"BatchNormalization",shaderCache:{hint:`${J.epsilon}_${J.format}_${H}_${q}`,inputDependencies:V?["rank","type","type","type","type"]:void 0},getShaderSource:y,getRunData:()=>({outputs:[{dims:Q[0].dims,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(D/64)},programUniforms:V?[{type:12,data:D},...k(z)]:[{type:12,data:D}]})}},S1=(Q)=>Z(Q),Gg=(Q,J)=>{let{inputs:G,outputCount:H}=Q,K=S1({...J,outputCount:H});if(Y.webgpu.validateInputContent&&v1(G,K),J.trainingMode)throw Error("BatchNormalization trainingMode is not supported yet.");Q.compute(I1(G,K))}}),$1,A1,Wg,Hg=$(()=>{ee(),ne(),$1=(Q)=>{if(Q[0].dims.length!==3)throw Error("input should have 3 dimensions");if(![320,640,1280].includes(Q[0].dims[2]))throw Error("number of channels should be 320, 640 or 1280");if(Q[1].dims.length!==1)throw Error("bias is expected to have 1 dimensions");if(Q[0].dims[2]!==Q[1].dims[0])throw Error("last dimension of input and bias are not the same")},A1=(Q)=>{let J=Q[0].dims,G=Q[0].dims[2],H=S.size(J)/4,K=Q[0].dataType,z=A("input",K,J,4),q=A("bias",K,[G],4),F=A("residual",K,J,4),D=C("output",K,J,4);return{name:"BiasAdd",getRunData:()=>({outputs:[{dims:J,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(H/64)}}),getShaderSource:(V)=>`
  const channels = ${G}u / 4;
  ${V.declareVariables(z,q,F,D)}

  ${V.mainStart()}
    ${V.guardAgainstOutOfBoundsWorkgroupSizes(H)}
    let value = ${z.getByOffset("global_idx")}
      + ${q.getByOffset("global_idx % channels")} + ${F.getByOffset("global_idx")};
    ${D.setByOffset("global_idx","value")}
  }`}},Wg=(Q)=>{$1(Q.inputs),Q.compute(A1(Q.inputs))}}),P1,be,qg,jg,Kg,Xg,Zg,Jg,Qg,Yg,eb,O1,tb,nb,rb,ob,ro,ib,Wi,ab,sb,ub,lb,cb,db,pb,fb,hb,mb,gb,bb,yb,_b,xb,wb,Tb,vb,ol,il,Ib,Sb,$b,E1,C1,Ab,Hi=$(()=>{X(),ee(),ke(),ne(),P1=(Q,J,G,H,K,z,q)=>{let F=Math.ceil(J/4),D="";typeof K=="string"?D=`${K}(a)`:D=K("a");let V=A("inputData",G,[F],4),O=C("outputData",H,[F],4),P=[{name:"vec_size",type:"u32"}];return q&&P.push(...q),`
      ${Q.registerUniforms(P).declareVariables(V,O)}

  ${z??""}

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

    let a = ${V.getByOffset("global_idx")};
    ${O.setByOffset("global_idx",D)}
  }`},be=(Q,J,G,H,K,z=Q.dataType,q,F)=>{let D=[{type:12,data:Math.ceil(S.size(Q.dims)/4)}];return q&&D.push(...q),{name:J,shaderCache:{hint:K,inputDependencies:["type"]},getShaderSource:(V)=>P1(V,S.size(Q.dims),Q.dataType,z,G,H,F),getRunData:(V)=>({outputs:[{dims:Q.dims,dataType:z}],dispatchGroup:{x:Math.ceil(S.size(V[0].dims)/64/4)},programUniforms:D})}},qg=(Q)=>{Q.compute(be(Q.inputs[0],"Abs","abs"))},jg=(Q)=>{Q.compute(be(Q.inputs[0],"Acos","acos"))},Kg=(Q)=>{Q.compute(be(Q.inputs[0],"Acosh","acosh"))},Xg=(Q)=>{Q.compute(be(Q.inputs[0],"Asin","asin"))},Zg=(Q)=>{Q.compute(be(Q.inputs[0],"Asinh","asinh"))},Jg=(Q)=>{Q.compute(be(Q.inputs[0],"Atan","atan"))},Qg=(Q)=>{Q.compute(be(Q.inputs[0],"Atanh","atanh"))},Yg=(Q)=>Z(Q),eb=(Q,J)=>{let G;switch(J.to){case 10:G="vec4<f16>";break;case 1:G="vec4<f32>";break;case 12:G="vec4<u32>";break;case 6:G="vec4<i32>";break;case 9:G="vec4<bool>";break;default:throw RangeError(`not supported type (specified in attribute 'to' from 'Cast' operator): ${J.to}`)}Q.compute(be(Q.inputs[0],"Cast",G,void 0,J.cacheKey,J.to))},O1=(Q)=>{let J,G,H=Q.length>=2&&Q[1].data!==0,K=Q.length>=3&&Q[2].data!==0;switch(Q[0].dataType){case 1:J=H?Q[1].getFloat32Array()[0]:-340282346638528860000000000000000000000,G=K?Q[2].getFloat32Array()[0]:340282346638528860000000000000000000000;break;case 10:J=H?Q[1].getUint16Array()[0]:64511,G=K?Q[2].getUint16Array()[0]:31743;break;default:throw Error("Unsupport data type")}return Z({min:J,max:G})},tb=(Q,J)=>{let G=J||O1(Q.inputs),H=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"Clip",(K)=>`clamp(${K}, vec4<${H}>(uniforms.min), vec4<${H}>(uniforms.max))`,void 0,G.cacheKey,void 0,[{type:Q.inputs[0].dataType,data:G.min},{type:Q.inputs[0].dataType,data:G.max}],[{name:"min",type:H},{name:"max",type:H}]),{inputs:[0]})},nb=(Q)=>{Q.compute(be(Q.inputs[0],"Ceil","ceil"))},rb=(Q)=>{Q.compute(be(Q.inputs[0],"Cos","cos"))},ob=(Q)=>{Q.compute(be(Q.inputs[0],"Cosh","cosh"))},ro=(Q)=>Z(Q),ib=(Q,J)=>{let G=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"Elu",(H)=>`elu_vf32(${H})`,`
  const elu_alpha_ = ${G}(${J.alpha});

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

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

fn erf_vf32(v: vec4<${Q}>) -> vec4<${Q}> {
  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));
}`,ab=(Q)=>{let J=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"Erf",(G)=>`erf_vf32(${G})`,Wi(J)))},sb=(Q)=>{Q.compute(be(Q.inputs[0],"Exp","exp"))},ub=(Q)=>{Q.compute(be(Q.inputs[0],"Floor","floor"))},lb=(Q)=>{let J=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"Gelu",(G)=>`0.5 * ${G} * (1.0 + erf_vf32(${G} * 0.7071067811865475))`,Wi(J)))},cb=(Q,J)=>{let G=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"LeakyRelu",(H)=>`select(leaky_relu_alpha_ * ${H}, ${H}, ${H} >= vec4<${G}>(0.0))`,`const leaky_relu_alpha_ = ${G}(${J.alpha});`,J.cacheKey))},db=(Q)=>{Q.compute(be(Q.inputs[0],"Not",(J)=>`!${J}`))},pb=(Q)=>{Q.compute(be(Q.inputs[0],"Neg",(J)=>`-${J}`))},fb=(Q)=>{Q.compute(be(Q.inputs[0],"Reciprocal",(J)=>`1.0/${J}`))},hb=(Q)=>{let J=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"Relu",(G)=>`select(vec4<${J}>(0.0), ${G}, ${G} > vec4<${J}>(0.0))`))},mb=(Q)=>{Q.compute(be(Q.inputs[0],"Sigmoid",(J)=>`(1.0 / (1.0 + exp(-${J})))`))},gb=(Q)=>Z(Q),bb=(Q,J)=>{let G=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"HardSigmoid",(H)=>`max(vec4<${G}>(0.0), min(vec4<${G}>(1.0), ${J.alpha} * ${H} + vec4<${G}>(${J.beta})))`,void 0,J.cacheKey))},yb=(Q)=>{Q.compute(be(Q.inputs[0],"Sin","sin"))},_b=(Q)=>{Q.compute(be(Q.inputs[0],"Sinh","sinh"))},xb=(Q)=>{Q.compute(be(Q.inputs[0],"Sqrt","sqrt"))},wb=(Q)=>{Q.compute(be(Q.inputs[0],"Tan","tan"))},Tb=(Q)=>`sign(${Q}) * (1 - exp(-2 * abs(${Q}))) / (1 + exp(-2 * abs(${Q})))`,vb=(Q)=>{Q.compute(be(Q.inputs[0],"Tanh",Tb))},ol=(Q="f32")=>`
const fast_gelu_a: ${Q} = 0.5;
const fast_gelu_b: ${Q} = 0.7978845608028654;
const fast_gelu_c: ${Q} = 0.035677408136300125;

fn tanh_v(v: vec4<${Q}>) -> vec4<${Q}> {
  return ${Tb("v")};
}
`,il=(Q)=>`(fast_gelu_a + fast_gelu_a * tanh_v(${Q} * (fast_gelu_c * ${Q} * ${Q} + fast_gelu_b))) * ${Q}`,Ib=(Q)=>{let J=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"FastGelu",il,ol(J),void 0,Q.inputs[0].dataType))},Sb=(Q,J)=>{let G=Ve(Q.inputs[0].dataType);return Q.compute(be(Q.inputs[0],"ThresholdedRelu",(H)=>`select(vec4<${G}>(0.0), ${H}, ${H} > thresholded_relu_alpha_)`,`const thresholded_relu_alpha_ = vec4<${G}>(${J.alpha});`,J.cacheKey)),0},$b=(Q)=>{Q.compute(be(Q.inputs[0],"Log","log"))},E1=(Q,J)=>`
const alpha = vec4<${Q}>(${J});
const one = ${Q}(1.0);
const zero = ${Q}(0.0);

fn quick_gelu_impl(x: vec4<${Q}>) -> vec4<${Q}> {
  let v = x *alpha;
  var x1 : vec4<${Q}>;
  for (var i = 0; i < 4; i = i + 1) {
    if (v[i] >= zero) {
      x1[i] = one / (one + exp(-v[i]));
    } else {
      x1[i] = one - one / (one + exp(v[i]));
    }
  }
  return x * x1;
}
`,C1=(Q)=>`quick_gelu_impl(${Q})`,Ab=(Q,J)=>{let G=Ve(Q.inputs[0].dataType);Q.compute(be(Q.inputs[0],"QuickGelu",C1,E1(G,J.alpha),J.cacheKey,Q.inputs[0].dataType))}}),D1,k1,Ob,Eb=$(()=>{ee(),ne(),Hi(),D1=(Q)=>{if(Q[0].dims.length!==3)throw Error("input should have 3 dimensions");if(![2560,5120,10240].includes(Q[0].dims[2]))throw Error("hidden state should be 2560, 5120 or 10240");if(Q[1].dims.length!==1)throw Error("bias is expected to have 1 dimensions");if(Q[0].dims[2]!==Q[1].dims[0])throw Error("last dimension of input and bias are not the same")},k1=(Q)=>{let J=Q[0].dims.slice();J[2]=J[2]/2;let G=A("input",Q[0].dataType,Q[0].dims,4),H=A("bias",Q[0].dataType,[Q[0].dims[2]],4),K=C("output",Q[0].dataType,J,4),z=S.size(J)/4,q=ve(Q[0].dataType);return{name:"BiasSplitGelu",getRunData:()=>({outputs:[{dims:J,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(z/64)}}),getShaderSource:(F)=>`
  const M_SQRT2 = sqrt(2.0);
  const halfChannels = ${Q[0].dims[2]/4/2}u;

  ${F.declareVariables(G,H,K)}

  ${Wi(q)}

  ${F.mainStart()}
    ${F.guardAgainstOutOfBoundsWorkgroupSizes(z)}
    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);

    ${K.setByOffset("global_idx","valueLeft * geluRight")}
  }`}},Ob=(Q)=>{D1(Q.inputs),Q.compute(k1(Q.inputs))}}),L1,R1,Tn,Cb,Db,kb,Lb,Rb,Nb,zb,Mb,Bb,Fb,Vb=$(()=>{X(),ee(),ne(),L1=(Q,J,G,H,K,z,q,F,D,V,O,P)=>{let N,I;typeof F=="string"?N=I=(y,x)=>`${F}((${y}),(${x}))`:typeof F=="function"?N=I=F:(N=F.scalar,I=F.vector);let R=C("outputData",O,H.length,4),w=A("aData",D,J.length,4),E=A("bData",V,G.length,4),T;if(K)if(z){let y=S.size(J)===1,x=S.size(G)===1,b=J.length>0&&J[J.length-1]%4===0,g=G.length>0&&G[G.length-1]%4===0;y||x?T=R.setByOffset("global_idx",I(y?`${w.type.value}(${w.getByOffset("0")}.x)`:w.getByOffset("global_idx"),x?`${E.type.value}(${E.getByOffset("0")}.x)`:E.getByOffset("global_idx"))):T=`
            let outputIndices = ${R.offsetToIndices("global_idx * 4u")};
            let offsetA = ${w.broadcastedIndicesToOffset("outputIndices",R)};
            let offsetB = ${E.broadcastedIndicesToOffset("outputIndices",R)};
            ${R.setByOffset("global_idx",I(q||b?w.getByOffset("offsetA / 4u"):`${w.type.value}(${w.getByOffset("offsetA / 4u")}[offsetA % 4u])`,q||g?E.getByOffset("offsetB / 4u"):`${E.type.value}(${E.getByOffset("offsetB / 4u")}[offsetB % 4u])`))}
          `}else T=R.setByOffset("global_idx",I(w.getByOffset("global_idx"),E.getByOffset("global_idx")));else{if(!z)throw Error("no necessary to use scalar implementation for element-wise binary op implementation.");let y=(x,b,g="")=>{let l=`aData[indexA${b}][componentA${b}]`,_=`bData[indexB${b}][componentB${b}]`;return`
            let outputIndices${b} = ${R.offsetToIndices(`global_idx * 4u + ${b}u`)};
            let offsetA${b} = ${w.broadcastedIndicesToOffset(`outputIndices${b}`,R)};
            let offsetB${b} = ${E.broadcastedIndicesToOffset(`outputIndices${b}`,R)};
            let indexA${b} = offsetA${b} / 4u;
            let indexB${b} = offsetB${b} / 4u;
            let componentA${b} = offsetA${b} % 4u;
            let componentB${b} = offsetB${b} % 4u;
            ${x}[${b}] = ${g}(${N(l,_)});
          `};O===9?T=`
            var data = vec4<u32>(0);
            ${y("data",0,"u32")}
            ${y("data",1,"u32")}
            ${y("data",2,"u32")}
            ${y("data",3,"u32")}
            outputData[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:T=`
            ${y("outputData[global_idx]",0)}
            ${y("outputData[global_idx]",1)}
            ${y("outputData[global_idx]",2)}
            ${y("outputData[global_idx]",3)}
          `}return`
        ${Q.registerUniform("vec_size","u32").declareVariables(w,E,R)}

        ${P??""}

        ${Q.mainStart()}
        ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${T}
      }`},R1=(Q,J,G,H,K,z,q=G.dataType)=>{let F=G.dims.map(Number),D=H.dims.map(Number),V=!S.areEqual(F,D),O=F,P=S.size(F),N=!1,I=!1,R=[V];if(V){let w=bn.calcShape(F,D,!1);if(!w)throw Error("Can't perform binary op on the given tensors");O=w.slice(),P=S.size(O);let E=S.size(F)===1,T=S.size(D)===1,y=F.length>0&&F[F.length-1]%4===0,x=D.length>0&&D[D.length-1]%4===0;R.push(E),R.push(T),R.push(y),R.push(x);let b=1;for(let g=1;g<O.length;g++){let l=F[F.length-g],_=D[D.length-g];if(l===_)b*=l;else break}b%4===0?(I=!0,N=!0):(E||T||y||x)&&(N=!0)}else N=!0;return R.push(N),{name:Q,shaderCache:{hint:J+R.map((w)=>w.toString()).join("_"),inputDependencies:["rank","rank"]},getShaderSource:(w)=>L1(w,F,D,O,N,V,I,K,G.dataType,H.dataType,q,z),getRunData:()=>({outputs:[{dims:O,dataType:q}],dispatchGroup:{x:Math.ceil(P/64/4)},programUniforms:[{type:12,data:Math.ceil(S.size(O)/4)},...k(F,D,O)]})}},Tn=(Q,J,G,H,K,z)=>{Q.compute(R1(J,K??"",Q.inputs[0],Q.inputs[1],G,H,z))},Cb=(Q)=>{Tn(Q,"Add",(J,G)=>`${J}+${G}`)},Db=(Q)=>{Tn(Q,"Div",(J,G)=>`${J}/${G}`)},kb=(Q)=>{Tn(Q,"Equal",{scalar:(J,G)=>`u32(${J}==${G})`,vector:(J,G)=>`vec4<u32>(${J}==${G})`},void 0,void 0,9)},Lb=(Q)=>{Tn(Q,"Mul",(J,G)=>`${J}*${G}`)},Rb=(Q)=>{let J=A("input",Q.inputs[0].dataType,Q.inputs[0].dims).type.value;Tn(Q,"Pow",{scalar:(G,H)=>`pow_custom(${G},${H})`,vector:(G,H)=>`pow_vector_custom(${G},${H})`},`
    fn pow_custom(a : ${J}, b : ${J}) -> ${J} {
      if (b == ${J}(0.0)) {
        return ${J}(1.0);
      } else if (a < ${J}(0.0) && f32(b) != floor(f32(b))) {
        return ${J}(pow(f32(a), f32(b))); // NaN
      }
      return select(sign(a), ${J}(1.0), round(f32(abs(b) % ${J}(2.0))) != 1.0) * ${J}(${J==="i32"?"round":""}(pow(f32(abs(a)), f32(b))));
    }
    fn pow_vector_custom(a : vec4<${J}>, b : vec4<${J}>) -> vec4<${J}> {
      // TODO: implement vectorized pow
      return vec4<${J}>(pow_custom(a.x, b.x), pow_custom(a.y, b.y), pow_custom(a.z, b.z), pow_custom(a.w, b.w));
    }
      `)},Nb=(Q)=>{Tn(Q,"Sub",(J,G)=>`${J}-${G}`)},zb=(Q)=>{Tn(Q,"Greater",{scalar:(J,G)=>`u32(${J}>${G})`,vector:(J,G)=>`vec4<u32>(${J}>${G})`},void 0,void 0,9)},Mb=(Q)=>{Tn(Q,"Less",{scalar:(J,G)=>`u32(${J}<${G})`,vector:(J,G)=>`vec4<u32>(${J}<${G})`},void 0,void 0,9)},Bb=(Q)=>{Tn(Q,"GreaterOrEqual",{scalar:(J,G)=>`u32(${J}>=${G})`,vector:(J,G)=>`vec4<u32>(${J}>=${G})`},void 0,void 0,9)},Fb=(Q)=>{Tn(Q,"LessOrEqual",{scalar:(J,G)=>`u32(${J}<=${G})`,vector:(J,G)=>`vec4<u32>(${J}<=${G})`},void 0,void 0,9)}}),z1,M1,B1,F1,Gb,Ub,Wb=$(()=>{X(),ee(),ke(),ne(),z1=(Q,J)=>{if(!Q||Q.length<1)throw Error("too few inputs");let G=0,H=Q[G],K=H.dataType,z=H.dims.length;Q.forEach((q,F)=>{if(F!==G){if(q.dataType!==K)throw Error("input tensors should be one type");if(q.dims.length!==z)throw Error("input tensors should have the same shape");q.dims.forEach((D,V)=>{if(V!==J&&D!==H.dims[V])throw Error("non concat dimensions must match")})}})},M1=(Q,J)=>`
  fn calculateInputIndex(index: u32) -> u32 {
    let sizeInConcatAxis = array<u32, ${Q}u>(${J});
    for (var i: u32 = 0u; i < ${Q}; i += 1u ) {
      if (index < sizeInConcatAxis[i]) {
        return i;
      }
    }
    return ${Q}u;
  }`,B1=(Q,J)=>{let G=Q.length,H=[];for(let K=0;K<G;++K){let z=J.setByOffset("global_idx",Q[K].getByIndices("indices"));G===1?H.push(z):K===0?H.push(`if (inputIndex == ${K}u) { ${z} }`):K===G-1?H.push(`else { ${z} }`):H.push(`else if (inputIndex == ${K}) { ${z} }`)}return H.join(`
`)},F1=(Q,J,G,H)=>{let K=S.size(G),z=Array(Q.length),q=Array(Q.length),F=0,D=[],V=[],O=[{type:12,data:K}];for(let w=0;w<Q.length;++w)F+=Q[w].dims[J],z[w]=F,V.push(Q[w].dims.length),q[w]=A(`input${w}`,H,V[w]),D.push("rank"),O.push({type:12,data:z[w]});for(let w=0;w<Q.length;++w)O.push(...k(Q[w].dims));O.push(...k(G));let P=C("output",H,G.length),N=P.indicesGet("indices",J),I=Array.from(Array(z.length).keys()).map((w)=>`uniforms.sizeInConcatAxis${w}`).join(","),R=(w)=>`

  ${(()=>{w.registerUniform("outputSize","u32");for(let E=0;E<Q.length;E++)w.registerUniform(`sizeInConcatAxis${E}`,"u32");return w.declareVariables(...q,P)})()}

  ${M1(z.length,I)}

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

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

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

    ${B1(q,P)}
  }`;return{name:"Concat",shaderCache:{hint:`${J}`,inputDependencies:D},getRunData:()=>({outputs:[{dims:G,dataType:H}],dispatchGroup:{x:Math.ceil(K/64)},programUniforms:O}),getShaderSource:R}},Gb=(Q,J)=>{let G=Q.inputs,H=G[0].dims,K=S.normalizeAxis(J.axis,H.length);z1(G,K);let z=H.slice();z[K]=G.reduce((F,D)=>F+(D.dims.length>K?D.dims[K]:0),0);let q=G.filter((F)=>S.size(F.dims)>0);Q.compute(F1(q,K,z,G[0].dataType),{inputs:q})},Ub=(Q)=>Z({axis:Q.axis})}),Pt,Ot,Et,qi,Gn=$(()=>{X(),ee(),Pt=(Q,J,G="f32")=>{switch(Q.activation){case"Relu":return`value = max(value, ${J}(0.0));`;case"Sigmoid":return`value = (${J}(1.0) / (${J}(1.0) + exp(-value)));`;case"Clip":return`value = clamp(value, ${J}(${G}(uniforms.clip_min)), ${J}(${G}(uniforms.clip_max)));`;case"HardSigmoid":return`value = max(${J}(0.0), min(${J}(1.0), ${G}(uniforms.alpha) * value + ${G}(uniforms.beta)));`;case"LeakyRelu":return`value = select(${G}(uniforms.alpha) * value, value, value >= ${J}(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 Error(`Unsupported activation ${Q.activation}`)}},Ot=(Q,J)=>{Q.activation==="Clip"?J.push({type:1,data:Q.clipMax},{type:1,data:Q.clipMin}):Q.activation==="HardSigmoid"?J.push({type:1,data:Q.alpha},{type:1,data:Q.beta}):Q.activation==="LeakyRelu"&&J.push({type:1,data:Q.alpha})},Et=(Q,J)=>{Q.activation==="Clip"?J.push({name:"clip_max",type:"f32"},{name:"clip_min",type:"f32"}):Q.activation==="HardSigmoid"?J.push({name:"alpha",type:"f32"},{name:"beta",type:"f32"}):Q.activation==="LeakyRelu"&&J.push({name:"alpha",type:"f32"})},qi=(Q)=>{let J=Q?.activation||"";if(J==="HardSigmoid"){let[G,H]=Q?.activation_params||[0.2,0.5];return{activation:J,alpha:G,beta:H}}else if(J==="Clip"){let[G,H]=Q?.activation_params||[Jm,Qm];return{activation:J,clipMax:H,clipMin:G}}else if(J==="LeakyRelu"){let[G]=Q?.activation_params||[0.01];return{activation:J,alpha:G}}return{activation:J}}}),Be,Hb,ji=$(()=>{Be=(Q,J)=>{switch(Q){case 1:return J;case 2:return`vec2<${J}>`;case 3:return`vec3<${J}>`;case 4:return`vec4<${J}>`;default:throw Error(`${Q}-component is not supported.`)}},Hb=(Q)=>`
      ${Q?"value = value + getBiasByOutputCoords(coords);":""}
      `}),qb,jb=$(()=>{qb=(Q)=>`
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(${Q}.x), i32(${Q}.y), i32(${Q}.z), 1));
}
`}),oo,Ki,Xi=$(()=>{X(),ee(),ne(),Gn(),oo=(Q,J,G,H,K)=>{let z=H-G;return`
      ${Array.from({length:G}).map((q,F)=>`
      if (${B(J.shape,F,J.rank)} != 1) {
        ${J.indicesSet(Q,F,B(K,F+z,H))}
      } else {
        ${J.indicesSet(Q,F,0)}
      }`).join("")}
`},Ki=(Q,J,G,H,K=!1,z)=>{let q=Q[0].dims,F=Q[1].dims,D=q[q.length-2],V=F[F.length-1],O=q[q.length-1],P=he(V),N=he(O),I=he(D),R=S.size(G)/P/I,w=Q.length>2,E=H?H.slice(0,-2):G.slice(0,-2),T=[S.size(E),D,V],y=[{type:12,data:R},{type:12,data:D},{type:12,data:V},{type:12,data:O}];Ot(J,y),y.push(...k(E,q,F)),w&&y.push(...k(Q[2].dims)),y.push(...k(T));let x=(b)=>{let g=Fi("batch_dims",Q[0].dataType,E.length),l=A("a",Q[0].dataType,q.length,N),_=A("b",Q[1].dataType,F.length,P),a=C("output",Q[0].dataType,T.length,P),r=ve(a.type.tensor),f0=Pt(J,a.type.value,r),t=[l,_],p0="";if(w){let n=K?P:1;t.push(A("bias",Q[2].dataType,Q[2].dims.length,n)),p0=`${K?`value += bias[col / ${n}];`:`value += ${a.type.value}(bias[row + i]);`}`}let u0=[{name:"output_size",type:"u32"},{name:"M",type:"u32"},{name:"N",type:"u32"},{name:"K",type:"u32"}];Et(J,u0);let d=()=>{let n=`var a_data: ${l.type.value};`;for(let c0=0;c0<N;c0++)n+=`
              let b_data${c0} = b[(b_offset + (k + ${c0}) * uniforms.N + col) / ${P}];`;for(let c0=0;c0<I;c0++){n+=`a_data = a[(a_offset + (row + ${c0}) * uniforms.K + k) / ${N}];`;for(let WQ=0;WQ<N;WQ++)n+=`
            values[${c0}] = fma(${_.type.value}(a_data${N===1?"":`[${WQ}]`}), b_data${WQ}, values[${c0}]);
`}return n};return`
  ${b.registerUniforms(u0).registerInternalVariables(g).declareVariables(...t,a)}
  ${b.mainStart()}
    ${b.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let col = (global_idx % (uniforms.N / ${P})) * ${P};
    var index1 = global_idx / (uniforms.N / ${P});
    let stride1 = uniforms.M / ${I};
    let row = (index1 % stride1) * ${I};
    let batch = index1 / stride1;

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

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

    var b_indices: ${_.type.indices};
    ${oo("b_indices",_,_.rank-2,g.rank,"batch_indices")}
    ${_.indicesSet("b_indices",_.rank-2,0)}
    ${_.indicesSet("b_indices",_.rank-1,0)}
    let b_offset = ${_.indicesToOffset("b_indices")};
    var values: array<${a.type.value}, ${I}>;
    for (var k: u32 = 0u; k < uniforms.K; k = k + ${N}) {
      ${d()}
    }
    for (var i = 0u; i < ${I}u; i++) {
      var value = values[i];
      ${p0}
      ${f0}
      let cur_indices = ${a.type.indices}(batch, row + i, col);
      let offset = ${a.indicesToOffset("cur_indices")};
      ${a.setByOffset(`offset / ${P}`,"value")};
    }
  }
  `};return{name:"MatMulNaive",shaderCache:{hint:`${J.activation};${P};${N};${I};${K}`,inputDependencies:w?["rank","rank","rank"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:z?z(G):G,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(R/64)},programUniforms:y}),getShaderSource:x}}}),V1,G1,al,Kb,U1,sl,W1,io,Zi=$(()=>{X(),ee(),ne(),Gn(),Xi(),ji(),V1=(Q,J)=>Q?`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          kStart + inputRow,
          globalRowStart / innerElementSize + inputCol${J?", batchIndices":""});
        `:`
        mm_Asub[inputRow][inputCol] = mm_readA(batch,
          globalRow + innerRow,
          kStart / innerElementSize + inputCol${J?", batchIndices":""});
        `,G1=(Q,J)=>Q?`
        let ACached0 = mm_Asub[k * innerElementSize][localRow];
        let ACached1 = mm_Asub[k * innerElementSize + 1][localRow];
        let ACached2 = mm_Asub[k * innerElementSize + 2][localRow];
        ${J===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];
          ${J===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];
          ${J===3?"":"acc[i] = BCached3 * ACached.w + acc[i];"}
        }`,al=(Q,J,G="f32",H,K=!1,z=32,q=!1,F=32)=>{let D=J[1]*Q[1],V=J[0]*Q[0],O=K?D:z,P=K?z:D,N=O/J[0],I=z/J[1];if(!((K&&N===4&&Q[1]===4||!K&&(N===3||N===4))&&O%J[0]===0&&z%J[1]===0&&Q[0]===4))throw Error(`If transposeA ${K} is true, innerElementSize ${N} and workPerThread[1] ${Q[1]} must be 4.
      Otherwise, innerElementSize ${N} must be 3 or 4.
  tileAWidth ${O} must be divisible by workgroupSize[0]${J[0]}. tileInner ${z} must be divisible by workgroupSize[1] ${J[1]}. colPerThread ${Q[0]} must be 4.`);return`
var<workgroup> mm_Asub: array<array<vec${N}<${G}>, ${O/N}>, ${P}>;
var<workgroup> mm_Bsub: array<array<vec4<${G}>, ${V/Q[0]}>, ${z}>;

const rowPerThread = ${Q[1]};
const colPerThread = ${Q[0]};
const innerElementSize = ${N};
const tileInner = ${z};

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

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

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

  // Loop over shared dimension.
  let tileRowB = localRow * ${I};
  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;
          ${V1(K,H)}
      }

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

          ${G1(K,N)}
      }

      workgroupBarrier();
  }

  for (var innerRow = 0; innerRow < rowPerThread; innerRow = innerRow + 1) {
      mm_write(batch, globalRow + innerRow, globalCol, acc[innerRow]);
  }
}`},Kb=(Q,J)=>Q?`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              kStart + inputRow,
              globalRowStart + inputCol${J?", batchIndices":""});
            `:`
            mm_Asub[inputRow][inputCol] = mm_readA(batch,
              globalRowStart + inputRow,
              kStart + inputCol${J?", batchIndices":""});
            `,U1=(Q)=>Q?"let ACached = mm_Asub[k][tileRow + innerRow];":"let ACached = mm_Asub[tileRow + innerRow][k];",sl=(Q,J,G="f32",H,K=!1,z=32,q=!1,F=32,D=!1)=>{let V=Q[1]*J[1],O=Q[0]*J[0],P=K?V:z,N=K?z:V;if(!(N%J[1]===0&&P%J[0]===0&&z%J[1]===0))throw Error(`tileAHight ${N} must be divisible by workgroupSize[1]${J[1]}, tileAWidth ${P} must be divisible by workgroupSize[0]${J[0]}, tileInner ${z} must be divisible by workgroupSize[1]${J[1]}`);let I=N/J[1],R=P/J[0],w=z/J[1],E=D?`
    let localRow = i32(localId.y);
    let localCol = i32(localId.x);
    let globalRowStart = i32(workgroupId.y) * ${V};
    let globalColStart = i32(workgroupId.x) * ${O};

    // 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 < ${N}; inputRow = inputRow + ${J[1]}) {
        for (var inputCol = localCol; inputCol < ${P}; inputCol = inputCol + ${J[0]}) {
          ${Kb(K,H)}
        }
      }
      // Load one tile of B into local memory.
      for (var inputRow = localRow; inputRow < ${z}; inputRow = inputRow + ${J[1]}) {
            for (var inputCol = localCol; inputCol < ${O}; inputCol = inputCol + ${J[0]}) {
          mm_Bsub[inputRow][inputCol] = mm_readB(batch,
            kStart + inputRow,
            globalColStart + inputCol${H?", batchIndices":""});
        }
      }
      kStart = kStart + tileInner;
      workgroupBarrier();

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

let tileRowA = i32(localId.y) * ${I};
let tileColA = i32(localId.x) * ${R};
let tileRowB = i32(localId.y) * ${w};
// 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 < ${I}; innerRow = innerRow + 1) {
    for (var innerCol = 0; innerCol < ${R}; innerCol = innerCol + 1) {
      let inputRow = tileRowA + innerRow;
      let inputCol = tileColA + innerCol;
      ${Kb(K,H)}
    }
  }

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

  // Compute acc values for a single thread.
  var BCached : array<${G}, 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) {
      ${U1(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) {
  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<${G}, ${P}>, ${N}>;
  var<workgroup> mm_Bsub : array<array<${G}, ${O}>, ${z}>;
  const rowPerThread = ${Q[1]};
  const colPerThread = ${Q[0]};
  const tileInner = ${z};

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

    var acc : array<array<${G}, colPerThread>, rowPerThread>;
    ${E}
  }
`},W1=(Q,J,G,H,K=!1)=>{let[z,q,F,D]=H,V=ve(H[0].type.tensor);return`
    fn mm_readA(batch: i32, row: i32, colIn: i32, batchIndices: ${z.type.indices}) -> ${Be(Q,V)} {
      var value = ${Be(Q,V)}(0.0);
      let col = colIn * ${Q};
      if(row < uniforms.dim_a_outer && col < uniforms.dim_inner)
      {
        var aIndices: ${q.type.indices};
        ${oo("aIndices",q,q.rank-2,z.rank,"batchIndices")}
        ${q.indicesSet("aIndices",q.rank-2,"u32(row)")}
        ${q.indicesSet("aIndices",q.rank-1,"u32(colIn)")}
        value = ${q.getByIndices("aIndices")};
      }
      return value;
    }

    fn mm_readB(batch: i32, row: i32, colIn: i32, batchIndices: ${z.type.indices}) -> ${Be(Q,V)} {
      var value = ${Be(Q,V)}(0.0);
      let col = colIn * ${Q};
      if(row < uniforms.dim_inner && col < uniforms.dim_b_outer)
      {
        var bIndices: ${F.type.indices};
        ${oo("bIndices",F,F.rank-2,z.rank,"batchIndices")}
        ${F.indicesSet("bIndices",F.rank-2,"u32(row)")}
        ${F.indicesSet("bIndices",F.rank-1,"u32(colIn)")}
        value = ${F.getByIndices("bIndices")};
      }
      return value;
    }

    fn mm_write(batch: i32, row: i32, colIn: i32, valueIn: ${Be(Q,V)}) {
      let col = colIn * ${Q};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer) {
        var value = valueIn;
        let coords = vec3<i32>(batch, row, colIn);
        ${J?`value = value + ${K?"bias[colIn]":`${Be(Q,V)}(bias[row])`};`:""}
        ${G}
        ${D.setByIndices("vec3<u32>(coords)","value")}
      }
    }
    `},io=(Q,J,G,H,K=!1,z)=>{let q=Q[0].dims,F=Q[1].dims,D=q.slice(0,-2),V=F.slice(0,-2),O=H?H.slice(0,-2):G.slice(0,-2),P=S.size(O),N=q[q.length-2],I=q[q.length-1],R=F[F.length-1],w=I%4===0&&R%4===0,E=N<=8?[4,1,1]:[4,4,1],T=[8,8,1],y=[Math.ceil(R/T[0]/E[0]),Math.ceil(N/T[1]/E[1]),Math.ceil(P/T[2]/E[2])],x=w?4:1,b=[...D,N,I/x],g=b.length,l=[...V,I,R/x],_=l.length,a=[P,N,R/x],r=[{type:6,data:N},{type:6,data:R},{type:6,data:I}];Ot(J,r),r.push(...k(O,b,l));let f0=["rank","rank"],t=Q.length>2;t&&(r.push(...k(Q[2].dims)),f0.push("rank")),r.push(...k(a));let p0=(u0)=>{let d=O.length,n=Fi("batchDims",Q[0].dataType,d,1),c0=ve(Q[0].dataType),WQ=A("a",Q[0].dataType,g,x),R0=A("b",Q[1].dataType,_,x),l0=C("result",Q[0].dataType,a.length,x),d0=[WQ,R0];if(t){let pQ=K?x:1;d0.push(A("bias",Q[2].dataType,Q[2].dims.length,pQ))}let m0=[{name:"dim_a_outer",type:"i32"},{name:"dim_b_outer",type:"i32"},{name:"dim_inner",type:"i32"}];Et(J,m0);let ZQ=ve(l0.type.tensor),LQ=Pt(J,l0.type.value,ZQ),h0=W1(x,t,LQ,[n,WQ,R0,l0],K);return`
  ${u0.registerUniforms(m0).registerInternalVariables(n).declareVariables(...d0,l0)}
  ${h0}
  ${w?al(E,T,c0,n):sl(E,T,c0,n)}
                   `};return{name:"MatMul",shaderCache:{hint:`${E};${J.activation};${w};${K}`,inputDependencies:f0},getRunData:()=>({outputs:[{dims:z?z(G):G,dataType:Q[0].dataType}],dispatchGroup:{x:y[0],y:y[1],z:y[2]},programUniforms:r}),getShaderSource:p0}}}),H1,Xb,Zb=$(()=>{X(),gn(),ne(),Gn(),ji(),jb(),Zi(),H1=(Q,J,G,H,K=!1,z,q=4,F=4,D=4,V="f32")=>{let O=(r)=>{switch(r){case 1:return"resData = x[xIndex];";case 3:return`resData = vec3<${V}>(x[xIndex], x[xIndex + 1], x[xIndex + 2]);`;case 4:return"resData = x[xIndex / 4];";default:throw Error(`innerElementSize ${r} is not supported.`)}},P=(r)=>{switch(r){case 1:return"return w[row * i32(uniforms.w_shape[3]) + colIn];";case 4:return"return w[row * i32(uniforms.w_shape[3]) / 4 + colIn];";default:throw Error(`innerElementSize ${r} is not supported.`)}},N=Q?`
    let coord = vec4<i32>(batch, xRow, xCol, xCh);
    `:`
    let coord = vec4<i32>(batch, xCh, xRow, xCol);
    `,I=Q?`
    let coords = vec4<i32>(
      batch,
      row / outWidth,
      row % outWidth,
      col);
    `:`
    let coords = vec4<i32>(
      batch,
      row,
      col / outWidth,
      col % outWidth);
    `,R=Q?"i32(uniforms.x_shape[1])":"i32(uniforms.x_shape[2])",w=Q?"i32(uniforms.x_shape[2])":"i32(uniforms.x_shape[3])",E=Q?"row":"col",T=Q?"col":"row",y=`
    let inChannels = i32(uniforms.w_shape[2]);
    let outWidth = ${Q?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
    let outRow = ${E} / outWidth;
    let outCol = ${E} % outWidth;

    let WRow = ${T} / (i32(uniforms.w_shape[1]) * inChannels);
    let WCol = ${T} / 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 = ${T} % inChannels;
    var resData = ${Be(q,V)}(0.0);
    // The bounds checking is always needed since we use it to pad zero for
    // the 'same' padding type.
    if (xRow >= 0 && xRow < ${R} && xCol >= 0 && xCol < ${w}) {
      ${N}
      let xIndex = getIndexFromCoords4D(coord, vec4<i32>(uniforms.x_shape));
      ${O(q)}
    }
    return resData;`,x=Q?J&&H?`
    let col = colIn * ${q};
    ${y}`:`
    let col = colIn * ${q};
    if (row < uniforms.dim_a_outer && col < uniforms.dim_inner) {
      ${y}
    }
    return ${Be(q,V)}(0.0);`:H&&G?`
    let col = colIn * ${q};
    ${y}`:`
    let col = colIn * ${q};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${y}
    }
    return ${Be(q,V)}(0.0);`,b=Q?H&&G?P(F):`
    let col = colIn * ${F};
    if (row < uniforms.dim_inner && col < uniforms.dim_b_outer) {
      ${P(F)}
    }
    return ${Be(F,V)}(0.0);`:`
    let col = colIn * ${F};
    if (row < uniforms.dim_inner && col < uniforms.dim_a_outer) {
      ${P(F)}
    }
    return ${Be(F,V)}(0.0);`,g=Be(D,V),l=Q?Be(q,V):Be(F,V),_=Q?Be(F,V):Be(q,V),a=Pt(z,g,V);return`
    fn mm_readA(batch: i32, row : i32, colIn : i32) -> ${l} {
      ${Q?x:b}
    }

    fn mm_readB(batch: i32, row : i32, colIn : i32) -> ${_} {
      ${Q?b:x}
    }

    fn mm_write(batch: i32, row : i32, colIn : i32, valueIn : ${g}) {
      let col = colIn * ${D};
      if (row < uniforms.dim_a_outer && col < uniforms.dim_b_outer)
      {
      var value = valueIn;
      let outWidth = ${Q?"i32(uniforms.result_shape[2])":"i32(uniforms.result_shape[3])"};
      ${I}
      ${Hb(K)}
      ${a}
      setOutputAtCoords(coords[0], coords[1], coords[2], coords[3], value);
      }
    }`},Xb=(Q,J,G,H,K,z,q,F,D)=>{let V=J.format==="NHWC",O=V?Q[0].dims[3]:Q[0].dims[1],P=G[0],N=V?G[2]:G[3],I=V?G[1]:G[2],R=V?G[3]:G[1],w=V&&(O%4===0||O%3===0)&&R%4===0,E=V?R:N*I,T=V?N*I:R,y=[8,8,1],x=H<=8?[4,1,1]:[4,4,1],b=[Math.ceil(E/y[0]/x[0]),Math.ceil(T/y[1]/x[1]),Math.ceil(P/y[2]/x[2])];ie("verbose",()=>`[conv2d_mm_webgpu] dispatch = ${b}`);let g=w?V&&O%4!==0?3:4:1,l=y[1]*x[1],_=y[0]*x[0],a=Math.max(y[0]*g,y[1]),r=H%l===0,f0=K%_===0,t=z%a===0,p0=w?[g,4,4]:[1,1,1],u0=[{type:6,data:H},{type:6,data:K},{type:6,data:z},{type:6,data:[J.pads[0],J.pads[1]]},{type:6,data:J.strides},{type:6,data:J.dilations}];Ot(J,u0),u0.push(...k(Q[0].dims,Q[1].dims));let d=["rank","rank"];q&&(u0.push(...k(Q[2].dims)),d.push("rank")),u0.push(...k(G));let n=(c0)=>{let WQ=[{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}];Et(J,WQ);let R0=w?4:1,l0=ve(Q[0].dataType),d0=`
      fn setOutputAtIndex(flatIndex : i32, value : ${w?`vec4<${l0}>`:l0}) {
        result[flatIndex] = ${w?`vec4<${l0}>`:l0}(value);
      }
      fn setOutputAtCoords(d0 : i32, d1 : i32, d2 : i32, d3 : i32, value : ${w?`vec4<${l0}>`:l0}) {
        let flatIndex = getOutputIndexFromCoords(vec4<i32>(d0, d1, d2, d3));
        setOutputAtIndex(flatIndex ${w?"/ 4":""}, value);
      }`,m0=A("x",Q[0].dataType,Q[0].dims.length,g===3?1:g),ZQ=A("w",Q[1].dataType,Q[1].dims.length,R0),LQ=[m0,ZQ],h0=C("result",Q[0].dataType,G.length,R0);if(q){let pQ=A("bias",Q[2].dataType,Q[2].dims.length,R0);LQ.push(pQ),d0+=`
        fn getBiasByOutputCoords(coords : vec4<i32>) -> ${w?`vec4<${l0}>`:l0} {
          return bias[coords.${V?"w":"y"}${w?"/ 4":""}];
        }`}return`
        ${qb("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 };
        ${c0.registerUniforms(WQ).declareVariables(...LQ,h0)}
        ${d0}
        ${H1(V,r,f0,t,q,J,p0[0],p0[1],p0[2],l0)}
        ${w?al(x,y,l0,void 0,!V,a):sl(x,y,l0,void 0,!V,a,!1,void 0,F)}`};return{name:"Conv2DMatMul",shaderCache:{hint:`${J.cacheKey};${g};${w};${r};${f0};${t};${l};${_};${a}`,inputDependencies:d},getRunData:()=>({outputs:[{dims:D?D(G):G,dataType:Q[0].dataType}],dispatchGroup:{x:b[0],y:b[1],z:b[2]},programUniforms:u0}),getShaderSource:n}}}),q1,Jb,Ji,j1,Qb,K1,Yb,ey,ty=$(()=>{X(),gn(),ee(),ne(),Gn(),ji(),q1=(Q)=>{let J=1;for(let G=0;G<Q.length;G++)J*=Q[G];return J},Jb=(Q)=>typeof Q=="number"?[Q,Q,Q]:Q,Ji=(Q,J)=>J<=1?Q:Q+(Q-1)*(J-1),j1=(Q,J,G,H=1)=>{let K=Ji(J,H);return Math.floor((Q[0]*(G-1)-G+K)/2)},Qb=(Q,J,G,H,K)=>{K==null&&(K=j1(Q,J[0],H[0]));let z=[0,0,0,G];for(let q=0;q<3;q++)Q[q]+2*K>=J[q]&&(z[q]=Math.trunc((Q[q]-J[q]+2*K)/H[q]+1));return z},K1=(Q,J,G,H,K,z,q,F,D,V)=>{let O,P,N,I;if(Q==="VALID"&&(Q=0),typeof Q=="number"){O={top:Q,bottom:Q,left:Q,right:Q,front:Q,back:Q};let R=Qb([J,G,H,1],[F,D,V],1,[K,z,q],Q);P=R[0],N=R[1],I=R[2]}else if(Array.isArray(Q)){if(!Q.every((w,E,T)=>w===T[0]))throw Error(`Unsupported padding parameter: ${Q}`);O={top:Q[0],bottom:Q[1],left:Q[2],right:Q[3],front:Q[4],back:Q[5]};let R=Qb([J,G,H,1],[F,D,V],1,[K,z,q],Q[0]);P=R[0],N=R[1],I=R[2]}else if(Q==="SAME_UPPER"){P=Math.ceil(J/K),N=Math.ceil(G/z),I=Math.ceil(H/q);let R=(P-1)*K+F-J,w=(N-1)*z+D-G,E=(I-1)*q+V-H,T=Math.floor(R/2),y=R-T,x=Math.floor(w/2),b=w-x,g=Math.floor(E/2),l=E-g;O={top:x,bottom:b,left:g,right:l,front:T,back:y}}else throw Error(`Unknown padding parameter: ${Q}`);return{padInfo:O,outDepth:P,outHeight:N,outWidth:I}},Yb=(Q,J,G,H,K,z=!1,q="channelsLast")=>{let F,D,V,O,P;if(q==="channelsLast")[F,D,V,O,P]=Q;else if(q==="channelsFirst")[F,P,D,V,O]=Q;else throw Error(`Unknown dataFormat ${q}`);let[N,,I,R,w]=J,[E,T,y]=Jb(G),[x,b,g]=Jb(H),l=Ji(I,x),_=Ji(R,b),a=Ji(w,g),{padInfo:r,outDepth:f0,outHeight:t,outWidth:p0}=K1(K,D,V,O,E,T,y,l,_,a),u0=z?N*P:N,d=[0,0,0,0,0];return q==="channelsFirst"?d=[F,u0,f0,t,p0]:q==="channelsLast"&&(d=[F,f0,t,p0,u0]),{batchSize:F,dataFormat:q,inDepth:D,inHeight:V,inWidth:O,inChannels:P,outDepth:f0,outHeight:t,outWidth:p0,outChannels:u0,padInfo:r,strideDepth:E,strideHeight:T,strideWidth:y,filterDepth:I,filterHeight:R,filterWidth:w,effectiveFilterDepth:l,effectiveFilterHeight:_,effectiveFilterWidth:a,dilationDepth:x,dilationHeight:b,dilationWidth:g,inShape:Q,outShape:d,filterShape:J}},ey=(Q,J,G,H,K,z)=>{let q=z==="channelsLast",F=q?Q[0].dims[3]:Q[0].dims[1],D=!1,V=[64,1,1],O={x:G.map((y,x)=>x)},P=[Math.ceil(q1(O.x.map((y)=>G[y]))/V[0]),1,1];ie("verbose",()=>`[conv3d_naive_webgpu] dispatch = ${P}`);let N=D?q&&F%4!==0?3:4:1,I=S.size(G),R=[{type:12,data:I},{type:12,data:H},{type:12,data:K},{type:12,data:J.strides},{type:12,data:J.dilations}];Ot(J,R),R.push(...k(Q[0].dims,Q[1].dims));let w=["rank","rank"],E=Q.length===3;E&&(R.push(...k(Q[2].dims)),w.push("rank")),R.push(...k(G));let T=(y)=>{let x=[{name:"output_size",type:"u32"},{name:"filter_dims",type:"u32",length:H.length},{name:"pads",type:"u32",length:K.length},{name:"strides",type:"u32",length:J.strides.length},{name:"dilations",type:"u32",length:J.dilations.length}];Et(J,x);let b=D?4:1,g=ve(Q[0].dataType),l=A("x",Q[0].dataType,Q[0].dims.length,N===3?1:N),_=A("W",Q[1].dataType,Q[1].dims.length,b),a=[l,_],r=C("result",Q[0].dataType,G.length,b),f0="";if(E){let u0=A("bias",Q[2].dataType,Q[2].dims.length,b);a.push(u0),f0+=`
        fn getBiasByOutputCoords(coords : array<u32, 5>) -> ${D?`vec4<${g}>`:g} {
          return bias[${q?B("coords",4,5):B("coords",1,5)}${D?"/ 4":""}];
        }`}let t=Be(N,g),p0=Pt(J,t,g);return`
            ${f0}
            fn getX(d0 : u32, d1 : u32, d2 : u32, d3 : u32, d4 : u32) -> f32 {
              let aIndices = array<u32, 5>(d0, d1, d2, d3, d4);
              return ${l.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 ${_.getByIndices("aIndices")};
            }
          ${y.registerUniforms(x).declareVariables(...a,r)}
          ${y.mainStart()}
          ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
              let coords = ${r.offsetToIndices("global_idx")};
              let batch = ${B("coords",0,l.rank)};
              let d2 = ${q?B("coords",l.rank-1,l.rank):B("coords",1,l.rank)};
              let xFRCCorner = vec3<u32>(${q?B("coords",1,l.rank):B("coords",2,l.rank)},
              ${q?B("coords",2,l.rank):B("coords",3,l.rank)},
              ${q?B("coords",3,l.rank):B("coords",4,l.rank)}) * uniforms.strides - uniforms.pads;
              let xFCorner = xFRCCorner.x;
              let xRCorner = xFRCCorner.y;
              let xCCorner = xFRCCorner.z;
              let xShapeY = ${q?B("uniforms.x_shape",1,l.rank):B("uniforms.x_shape",2,l.rank)};
              let xShapeZ = ${q?B("uniforms.x_shape",2,l.rank):B("uniforms.x_shape",3,l.rank)};
              let xShapeW = ${q?B("uniforms.x_shape",3,l.rank):B("uniforms.x_shape",4,l.rank)};
              let xShapeU = ${q?B("uniforms.x_shape",4,l.rank):B("uniforms.x_shape",1,l.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) {
                      ${q?`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) {
                        ${q?`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) {
                      ${q?`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) {
                      ${q?`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);
                    }
                  }
                }
              }
              ${E?"value = value + getBiasByOutputCoords(coords)":""};
              ${p0}
              result[global_idx] = f32(value);
          }`};return{name:"Conv3DNaive",shaderCache:{hint:`${J.cacheKey};${q};${N};${E}`,inputDependencies:w},getRunData:()=>({outputs:[{dims:G,dataType:Q[0].dataType}],dispatchGroup:{x:P[0],y:P[1],z:P[2]},programUniforms:R}),getShaderSource:T}}}),ny,ry,oy=$(()=>{X(),ee(),ne(),Gn(),ny=(Q,J,G,H)=>{let K=Q.length>2,z=K?"value += b[output_channel];":"",q=Q[0].dims,F=Q[1].dims,D=J.format==="NHWC",V=D?G[3]:G[1],O=V/J.group,P=D&&O>=4?he(V):1,N=S.size(G)/P,I=[{type:12,data:N},{type:12,data:J.dilations},{type:12,data:[J.strides[0],J.strides[1]]},{type:12,data:[J.pads[0],J.pads[1]]},{type:12,data:O}];Ot(J,I),I.push(...k(q,[F[0],F[1],F[2],F[3]/P]));let R=K?["rank","rank","rank"]:["rank","rank"];I.push(...k([G[0],G[1],G[2],G[3]/P]));let w=(E)=>{let T=C("output",Q[0].dataType,G.length,P),y=ve(T.type.tensor),x=Pt(J,T.type.value,y),b=A("x",Q[0].dataType,q.length),g=A("w",Q[1].dataType,F.length,P),l=[b,g];K&&l.push(A("b",Q[2].dataType,Q[2].dims,P));let _=[{name:"output_size",type:"u32"},{name:"dilations",type:"u32",length:J.dilations.length},{name:"strides",type:"u32",length:2},{name:"pads",type:"u32",length:2},{name:"output_channels_per_group",type:"u32"}];Et(J,_);let a=D?`
      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 = ${b.get("batch","xHeight","xWidth","input_channel")};
            let wVal = ${g.get("wHeight","wWidth","wInChannel","output_channel")};
            value += xVal * wVal;
          }
        }
      }
      `:`
      for (var wInChannel: u32 = 0u; wInChannel < uniforms.w_shape[1]; wInChannel++) {
        let input_channel = in_channel_offset + wInChannel;
        for (var wHeight: u32 = 0u; wHeight < uniforms.w_shape[2]; wHeight++) {
          let xHeight = xRCCorner.x + wHeight * uniforms.dilations[0];

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

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

            let xVal = ${b.get("batch","input_channel","xHeight","xWidth")};
            let wVal = ${g.get("output_channel","wInChannel","wHeight","wWidth")};
            value += xVal * wVal;
          }
        }
      }
      `;return`
  ${E.registerUniforms(_).declareVariables(...l,T)}

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

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

    var value: ${T.type.value} = ${T.type.value}(0);
    ${a}
    ${z}
    ${x}
    ${T.setByOffset("global_idx","value")}
  }`};return{name:"GroupedConv",shaderCache:{hint:`${J.cacheKey}_${P}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:H?H(G):G,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(N/64)},programUniforms:I}),getShaderSource:w}},ry=(Q,J,G,H)=>{let K=Q.length>2,z=he(G[3]),q=he(G[2]),F=S.size(G)/z/q,D=[Q[0].dims[0],Q[0].dims[1],Q[0].dims[2],Q[0].dims[3]/z],V=[Q[1].dims[0],Q[1].dims[1],Q[1].dims[2],Q[1].dims[3]/z],O=[G[0],G[1],G[2],G[3]/z],P=[{type:12,data:F},{type:6,data:[J.strides[0],J.strides[1]]},{type:6,data:[J.pads[0],J.pads[1]]}];Ot(J,P),P.push(...k(D,V,O));let N=(q-1)*J.strides[1]+V[1],I=(R)=>{let w=C("output",Q[0].dataType,O.length,z),E=ve(w.type.tensor),T=Pt(J,w.type.value,E),y=A("x",Q[0].dataType,D.length,z),x=A("w",Q[1].dataType,V.length,z),b=[y,x];K&&b.push(A("b",Q[2].dataType,Q[2].dims,z));let g=K?"value += b[output_channel];":"",l=[{name:"output_size",type:"u32"},{name:"strides",type:"i32",length:2},{name:"pads",type:"i32",length:2}];return Et(J,l),`
  ${R.registerUniforms(l).declareVariables(...b,w)}
  ${R.mainStart()}
    ${R.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] / ${q}u;
    let col = (index1 % width1) * ${q}u;
    index1 = index1 / width1;
    let row = index1 % uniforms.output_shape[1];
    let batch = index1 / uniforms.output_shape[1];

    let x_corner = vec2<i32>(i32(row), i32(col)) * uniforms.strides - uniforms.pads;

    var x_vals: array<${y.type.value}, ${N}>;
    var values: array<${w.type.value}, ${q}>;
    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 < ${V[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 < ${N}; i++) {
          let x_width = x_corner.y + i;
          if (x_width >= 0 && u32(x_width) < uniforms.x_shape[2]) {
            x_vals[i] = ${y.get("batch","u32(x_height)","u32(x_width)","input_channel")};
          } else {
            x_vals[i] = ${y.type.value}(0);
          }
        }
        for (var w_width: u32 = 0u; w_width < ${V[1]}; w_width++) {
          let w_val = ${x.get("w_height","w_width","0","output_channel")};
          for (var i = 0u; i < ${q}u; i++) {
            values[i] = fma(x_vals[i * u32(uniforms.strides[1]) + w_width], w_val, values[i]);
          }
        }
      }
    }

    for (var i = 0u; i < ${q}u; i++) {
      var value = values[i];
      ${g}
      ${T}
      ${w.set("batch","row","col + i","output_channel","value")};
    }
  }`};return{name:"GroupedConv-Vectorize",shaderCache:{hint:`${J.cacheKey};${z};${q};${N};${V[0]};${V[1]}`,inputDependencies:K?["rank","rank","type"]:["rank","rank"]},getRunData:()=>({outputs:[{dims:H?H(G):G,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:P}),getShaderSource:I}}}),X1,ul,Z1,ll,cl,iy,J1,Q1,dl,ay=$(()=>{ee(),Zb(),ty(),Zi(),oy(),Gn(),Xi(),Pn(),X1=(Q,J,G,H,K,z)=>{let q=Q[0],F=Q.slice(z?1:2,z?3:4),D=F.length,V=J[0],O=J.slice(2).map((N,I)=>N+(N-1)*(G[I]-1)),P=F.map((N,I)=>N+H[I]+H[I+D]).map((N,I)=>Math.floor((N-O[I]+K[I])/K[I]));return P.splice(0,0,q),P.splice(z?3:1,0,V),P},ul=[2,3,1,0],Z1=(Q,J)=>{if(!Q||Q.length!==2&&Q.length!==3)throw Error("Conv requires 2 or 3 inputs");if(Q[0].dims.length>5)throw Error("greater than 5D is not supported");if(Q[0].dims.length!==Q[1].dims.length)throw Error("filter does not have same dimension as input");let G=Q[0].dims[J.format==="NHWC"?Q[0].dims.length-1:1],H=Q[1].dims[1]*J.group;if(G!==H)throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(Q.length===3&&(Q[2].dims.length!==1||Q[1].dims[0]!==Q[2].dims[0]))throw Error("invalid bias");let K=Q[0].dims.length-2;if(J.dilations.length!==K)throw Error(`dilations should be ${K}D`);if(J.strides.length!==K)throw Error(`strides should be ${K}D`);if(J.pads.length!==K*2)throw Error(`pads should be ${K*2}D`);if(J.kernelShape.length!==0&&J.kernelShape.length!==Q[1].dims.length-2)throw Error("invalid kernel shape")},ll=(Q,J)=>{let G=Q.kernelShape.slice();G.length<J[1].dims.length-2&&G.push(...Array(J[1].dims.length-2-G.length).fill(0));for(let z=2;z<J[1].dims.length;++z)G[z-2]===0&&(G[z-2]=J[1].dims[z]);let H=Q.pads.slice();sr.adjustPadsBasedOnAutoPad(J[0].dims,Q.strides,Q.dilations,G,H,Q.format==="NHWC",Q.autoPad);let K=Object.assign({},Q);return Object.assign(K,{kernelShape:G,pads:H}),K},cl=(Q)=>{let J=qi(Q),G=Q.format,H=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][Q.auto_pad],K=Q.dilations,z=Q.group,q=Q.kernel_shape,F=Q.pads,D=Q.strides,V=Q.w_is_const();return{autoPad:H,format:G,dilations:K,group:z,kernelShape:q,pads:F,strides:D,wIsConst:V,...J,cacheKey:`${Q.format};${J.activation};`}},iy=(Q,J,G,H)=>{let K=G.format==="NHWC",z=X1(J[0].dims,J[1].dims,G.dilations,G.pads,G.strides,K);if(G.group!==1){let l=[J[0]];if(K){let _=Q.kernelCustomData.wT??Q.compute(Ge(J[1],ul),{inputs:[1],outputs:[G.wIsConst?-2:-1]})[0];G.wIsConst&&!Q.kernelCustomData.wT&&(Q.kernelCustomData.wT=_),l.push(_)}else l.push(J[1]);J.length===3&&l.push(J[2]),!Q.adapterInfo.isArchitecture("ampere")&&K&&J[1].dims[0]===G.group&&J[1].dims[1]===1&&G.dilations[0]===1&&G.dilations[1]===1?Q.compute(ry(l,G,z,H),{inputs:l}):Q.compute(ny(l,G,z,H),{inputs:l});return}let q=J.length===3,F=J[0].dims[K?1:2],D=J[0].dims[K?2:3],V=J[0].dims[K?3:1],O=J[1].dims[2],P=J[1].dims[3],N=z[K?1:2],I=z[K?2:3],R=z[K?3:1],w=K&&O===F&&P===D&&G.pads[0]===0&&G.pads[1]===0;if(w||O===1&&P===1&&G.dilations[0]===1&&G.dilations[1]===1&&G.strides[0]===1&&G.strides[1]===1&&G.pads[0]===0&&G.pads[1]===0){let l=z[0],_,a,r,f0=[];if(K){let u0=Q.kernelCustomData.wT??Q.compute(Ge(J[1],ul),{inputs:[1],outputs:[G.wIsConst?-2:-1]})[0];if(G.wIsConst&&!Q.kernelCustomData.wT&&(Q.kernelCustomData.wT=u0),w){let d=F*D*V;_=J[0].reshape([1,l,d]),a=u0.reshape([1,d,R]),r=[1,l,R]}else _=J[0].reshape([l,F*D,V]),a=u0.reshape([1,V,R]),r=[l,N*I,R];f0.push(_),f0.push(a)}else _=J[0].reshape([l,V,F*D]),a=J[1].reshape([1,R,V]),r=[l,R,N*I],f0.push(a),f0.push(_);q&&f0.push(J[2]);let t=r[2],p0=f0[0].dims[f0[0].dims.length-1];t<8&&p0<8?Q.compute(Ki(f0,G,z,r,K,H),{inputs:f0}):Q.compute(io(f0,G,z,r,K,H),{inputs:f0});return}let E=!0,T=Q.kernelCustomData.wT??Q.compute(Ge(J[1],ul),{inputs:[1],outputs:[G.wIsConst?-2:-1]})[0];G.wIsConst&&!Q.kernelCustomData.wT&&(Q.kernelCustomData.wT=T);let y=[J[0],T];q&&y.push(J[2]);let x=K?N*I:R,b=K?R:N*I,g=O*P*V;Q.compute(Xb(y,G,z,x,b,g,q,E,H),{inputs:y})},J1=(Q,J)=>{let G=J.format==="NHWC",H=[Q.inputs[0].reshape(G?[Q.inputs[0].dims[0],1,Q.inputs[0].dims[1],Q.inputs[0].dims[2]]:[Q.inputs[0].dims[0],Q.inputs[0].dims[1],1,Q.inputs[0].dims[2]]),Q.inputs[1].reshape([Q.inputs[1].dims[0],Q.inputs[1].dims[1],1,Q.inputs[1].dims[2]])];Q.inputs.length===3&&H.push(Q.inputs[2]);let K=[0,J.pads[0],0,J.pads[1]],z=[1].concat(J.strides),q=[1].concat(J.dilations),F=[1].concat(J.kernelShape),D=ll({...J,pads:K,strides:z,dilations:q,kernelShape:F},H);iy(Q,H,D,(V)=>G?[V[0],V[2],V[3]]:[V[0],V[1],V[3]])},Q1=(Q,J,G)=>{let H=G.format==="NHWC"?"channelsLast":"channelsFirst",K=ll(G,J),z=G.autoPad==="NOTSET"?G.pads:G.autoPad,q=Yb(J[0].dims,J[1].dims,G.strides,G.dilations,z,!1,H);Q.compute(ey(J,K,q.outShape,[q.filterDepth,q.filterHeight,q.filterWidth],[q.padInfo.front,q.padInfo.top,q.padInfo.left],H))},dl=(Q,J)=>{if(Z1(Q.inputs,J),Q.inputs[0].dims.length===3)J1(Q,J);else if(Q.inputs[0].dims.length===5)Q1(Q,Q.inputs,J);else{let G=ll(J,Q.inputs);iy(Q,Q.inputs,G)}}}),sy,uy=$(()=>{X(),gn(),ee(),ne(),sy=(Q,J,G)=>{let H=Q.length>2,K=J.outputShape,z=J.format==="NHWC",q=J.group,F=Q[1].dims,D=F[2]/q,V=F[3],O=z?he(D):1,P=z&&V===1&&D>=4,N=P?Math.floor(D/4)*4:Math.floor(D/O)*O,I=D-N,R=z?he(V):1,w=z?V===1?O:R:1,E=S.size(K)/R,T=[Math.ceil(E/64),1,1];ie("verbose",()=>`[conv2d_backprop_webgpu] dispatch = ${T}`);let y=["rank","rank"],x=[J.strides[0],J.strides[1]],b=[J.kernelShape[z?1:2],J.kernelShape[z?2:3]],g=[J.dilations[0],J.dilations[1]],l=[b[0]+(J.dilations[0]<=1?0:(J.kernelShape[z?1:2]-1)*(J.dilations[0]-1)),b[1]+(J.dilations[1]<=1?0:(J.kernelShape[z?2:3]-1)*(J.dilations[1]-1))],_=[l[0]-1-Math.floor((J.pads[0]+J.pads[2])/2),l[1]-1-Math.floor((J.pads[1]+J.pads[3])/2)],a=[{type:12,data:E},{type:12,data:x},{type:12,data:b},{type:12,data:g},{type:12,data:l},{type:6,data:_},{type:12,data:N},{type:12,data:D},{type:12,data:V},...k(Q[0].dims,Q[1].dims)];H&&(a.push(...k(Q[2].dims)),y.push("rank")),a.push(...k(K));let r=(f0)=>{let t=[{name:"output_size",type:"u32"},{name:"strides",type:"u32",length:x.length},{name:"filter_dims",type:"u32",length:b.length},{name:"dilations",type:"u32",length:b.length},{name:"effective_filter_dims",type:"u32",length:l.length},{name:"pads",type:"i32",length:_.length},{name:"input_channels_per_group_int",type:"u32"},{name:"input_channels_per_group",type:"u32"},{name:"output_channels_per_group",type:"u32"}],p0=ve(Q[0].dataType),u0=z?1:2,d=z?2:3,n=z?3:1,c0=A("W",Q[1].dataType,Q[1].dims.length,w),WQ=A("Dy",Q[0].dataType,Q[0].dims.length,O),R0=[WQ,c0];H&&R0.push(A("bias",Q[2].dataType,[K[n]].length,R));let l0=C("result",Q[0].dataType,K.length,R),d0=()=>{let LQ="";if(P)O===4?LQ+=`
        let xValue = ${WQ.getByOffset("x_offset")};
        let wValue = ${c0.getByOffset("w_offset")};
        dotProd = dotProd + dot(xValue, wValue);
        x_offset += 1u;
        w_offset += 1u;`:O===2?LQ+=`
          dotProd = dotProd + dot(vec4<${p0}>(${WQ.getByOffset("x_offset")}, ${WQ.getByOffset("x_offset + 1u")}), vec4<${p0}>(${c0.getByOffset("w_offset")}, ${c0.getByOffset("w_offset + 1u")}));
          x_offset += 2u;
          w_offset += 2u;`:O===1&&(LQ+=`
          dotProd = dotProd + dot(vec4<${p0}>(${WQ.getByOffset("x_offset")}, ${WQ.getByOffset("x_offset + 1u")}, ${WQ.getByOffset("x_offset + 2u")}, ${WQ.getByOffset("x_offset + 3u")}), vec4<${p0}>(${c0.getByOffset("w_offset")}, ${c0.getByOffset("w_offset + 1u")}, ${c0.getByOffset("w_offset + 2u")}, ${c0.getByOffset("w_offset + 3u")}));
          x_offset += 4u;
          w_offset += 4u;`);else if(LQ+=`
                  let xValue = ${z?WQ.getByOffset(`${WQ.indicesToOffset(`${WQ.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${O}`):WQ.get("batch","inputChannel","idyR","idyC")};
        `,O===1)LQ+=`
          let w_offset = ${c0.indicesToOffset(`${c0.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel, wOutChannel)`)};
          let wValue = ${c0.getByOffset(`w_offset / ${w}`)};
          dotProd = dotProd + xValue * wValue;`;else for(let h0=0;h0<O;h0++)LQ+=`
            let wValue${h0} = ${c0.getByOffset(`${c0.indicesToOffset(`${c0.type.indices}(u32(wRPerm), u32(wCPerm), inputChannel + ${h0}, wOutChannel)`)} / ${w}`)};
            dotProd = dotProd + xValue[${h0}] * wValue${h0};`;return LQ},m0=()=>{if(I===0)return"";if(!P)throw Error(`packInputAs4 ${P} is not true.`);let LQ="";if(O===1){LQ+="dotProd = dotProd";for(let h0=0;h0<I;h0++)LQ+=`
            + ${WQ.getByOffset(`x_offset + ${h0}`)} * ${c0.getByOffset(`w_offset + ${h0}`)}`;LQ+=";"}else if(O===2){if(I!==2)throw Error(`Invalid inputChannelsRemainder ${I}.`);LQ+=`
          let xValue = ${WQ.getByOffset("x_offset")};
          let wValue = ${c0.getByOffset("w_offset")};
          dotProd = dotProd + dot(xValue, wValue);`}return LQ},ZQ=`
            let outputIndices = ${l0.offsetToIndices(`global_idx * ${R}`)};
            let batch = ${l0.indicesGet("outputIndices",0)};
            let d1 = ${l0.indicesGet("outputIndices",n)};
            let r = ${l0.indicesGet("outputIndices",u0)};
            let c = ${l0.indicesGet("outputIndices",d)};
            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 = ${l0.type.value}(0.0);
            var wR: u32 = 0;
            if (uniforms.dilations.x == 1) {
              // Minimum wR >= 0 that satisfies (dyRCorner + wR) % (uniforms.strides.x) == 0
              wR = u32(((dyRCorner + i32(uniforms.strides.x) - 1) / i32(uniforms.strides.x)) * i32(uniforms.strides.x) - dyRCorner);
            }
            for (; wR < uniforms.effective_filter_dims.x; wR = wR + 1) {
              if (wR % uniforms.dilations.x != 0) {
                continue;
              }
              let dyR = (${p0}(dyRCorner) + ${p0}(wR)) / ${p0}(uniforms.strides[0]);
              let wRPerm = uniforms.filter_dims.x - 1 - wR / uniforms.dilations.x;
              if (dyR < 0.0 || dyR >= ${p0}(uniforms.Dy_shape[${u0}]) || fract(dyR) > 0.0 ||
                  wRPerm < 0) {
                continue;
              }
              let idyR: u32 = u32(dyR);
              var wC: u32 = 0;
              if (uniforms.dilations.y == 1) {
                // Minimum wC >= 0 that satisfies (dyCCorner + wC) % (uniforms.strides.y) == 0
                wC = u32(((dyCCorner + i32(uniforms.strides.y) - 1) / i32(uniforms.strides.y)) * i32(uniforms.strides.y) - dyCCorner);
              }
              for (; wC < uniforms.effective_filter_dims.y; wC = wC + 1) {
                if (wC % uniforms.dilations.y != 0) {
                  continue;
                }
                let dyC = (${p0}(dyCCorner) + ${p0}(wC)) / ${p0}(uniforms.strides.y);
                let wCPerm = uniforms.filter_dims.y - 1 - wC / uniforms.dilations.y;
                if (dyC < 0.0 || dyC >= ${p0}(uniforms.Dy_shape[${d}]) ||
                    fract(dyC) > 0.0 || wCPerm < 0) {
                  continue;
                }
                let idyC: u32 = u32(dyC);
                var inputChannel = groupId * uniforms.input_channels_per_group;
                ${P?`
                var x_offset = ${WQ.indicesToOffset(`${WQ.type.indices}(batch, idyR, idyC, inputChannel)`)} / ${O};
                var w_offset = ${c0.indicesToOffset(`${c0.type.indices}(wRPerm, wCPerm, inputChannel, wOutChannel)`)} / ${w};
                  `:""}
                for (var d2: u32 = 0; d2 < uniforms.input_channels_per_group_int; d2 = d2 + ${P?4:O}) {
                  ${d0()}
                  inputChannel = inputChannel + ${P?4:O};
                }
                ${m0()}
                wC = wC + uniforms.strides.y - 1;
              }
              wR = wR + uniforms.strides[0] - 1;
            }
            let value = dotProd${H?` + bias[d1 / ${R}]`:""};
            ${l0.setByOffset("global_idx","value")};
          `;return`
    ${f0.registerUniforms(t).declareVariables(...R0,l0)}
      ${f0.mainStart()}
      ${f0.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")};
    ${ZQ}}`};return{name:"ConvTranspose2D",shaderCache:{hint:`${J.cacheKey};${O}${w}${R}${P}${I}`,inputDependencies:y},getRunData:()=>({dispatchGroup:{x:T[0],y:T[1],z:T[2]},outputs:[{dims:G?G(K):K,dataType:Q[0].dataType}],programUniforms:a}),getShaderSource:r}}}),Y1,e$,t$,ly,cy,n$,dy,r$,py,fy=$(()=>{uy(),Gn(),Pn(),Y1=(Q,J,G,H,K,z)=>(Q-1)*J+G+(H-1)*K+1-z,e$=(Q,J,G,H,K)=>{let z=Math.floor(Q/2);J==="SAME_UPPER"?(G[H]=z,G[K]=Q-z):J==="SAME_LOWER"&&(G[H]=Q-z,G[K]=z)},t$=(Q,J,G,H,K,z,q,F,D,V)=>{let O=Q.length-2,P=V.length===0;D.length<O&&D.push(...Array(O-D.length).fill(0));let N=Q[0],I=J[F?3:1]*K;for(let R=0,w=Q.length-O-(F?1:0);R<O;++R,++w){let E=Q[w],T=P?E*q[R]:V[R],y=Y1(E,q[R],z[R],J[w],G[R],T);e$(y,H,z,R,R+O),P&&V.push(q[R]*(E-1)+D[R]+(J[w]-1)*G[R]+1-z[R]-z[R+O])}V.splice(0,0,N),V.splice(F?3:1,0,I)},ly=(Q,J)=>{let G=Q.kernelShape.slice();if(Q.kernelShape.length===0||Q.kernelShape.reduce((P,N)=>P*N,1)===0){G.length=0;for(let P=2;P<J[1].dims.length;++P)G.push(J[1].dims[P])}let H=Q.format==="NHWC";G.splice(0,0,J[1].dims[0]),G.splice(H?3:1,0,J[1].dims[1]);let K=Q.pads.slice(),z=Q.outputShape.slice(),q=Q.outputPadding.slice(),F=J[0].dims,D=Q.dilations.slice();if(D.reduce((P,N)=>P+N,0)===0){let P=J[0].dims.length-2;D=Array(P).fill(1)}let V=Q.strides.slice();if(V.reduce((P,N)=>P+N,0)===0){let P=J[0].dims.length-2;V=Array(P).fill(1)}t$(F,G,D,Q.autoPad,Q.group,K,V,H,q,z);let O=Object.assign({},Q);return Object.assign(O,{kernelShape:G,pads:K,outputPadding:q,outputShape:z,dilations:D,strides:V}),O},cy=(Q)=>{let J=qi(Q),G=Q.format,H=["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][typeof Q.autoPad>"u"?0:Q.autoPad],K=Q.dilations,z=Q.group??1,q=Q.kernelShape,F=Q.pads,D=Q.strides,V=Q.wIsConst(),O=Q.outputPadding,P=Q.outputShape;return{autoPad:H,format:G,dilations:K,group:z,kernelShape:q,outputPadding:O,outputShape:P,pads:F,strides:D,wIsConst:V,...J,cacheKey:`${Q.format};${J.activation};`}},n$=(Q,J)=>{if(!Q||Q.length!==2&&Q.length!==3)throw Error("Conv requires 2 or 3 inputs");if(Q[0].dims.length!==4&&Q[0].dims.length!==3)throw Error("currently only support 2-dimensional conv");if(Q[0].dims.length!==Q[1].dims.length)throw Error("filter does not have same dimension as input");let G=Q[0].dims[J.format==="NHWC"?Q[0].dims.length-1:1],H=Q[1].dims[0];if(G!==H)throw Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let K=Q[1].dims[1]*J.group;if(Q.length===3&&(Q[2].dims.length!==1||Q[2].dims[0]!==K))throw Error("invalid bias");let z=Q[0].dims.length-2;if(J.dilations.reduce((q,F)=>q+F,0)>0&&J.dilations.length!==z)throw Error(`dilations should be ${z}D`);if(J.strides.reduce((q,F)=>q+F,0)>0&&J.strides.length!==z)throw Error(`strides should be ${z}D`);if(J.pads.reduce((q,F)=>q+F,0)>0&&J.pads.length!==z*2)throw Error(`pads should be ${z*2}D`);if(J.outputPadding.length!==z&&J.outputPadding.length!==0)throw Error(`output_padding should be ${z}D`);if(J.kernelShape.reduce((q,F)=>q+F,0)>0&&J.kernelShape.length!==0&&J.kernelShape.length!==Q[1].dims.length-2)throw Error("invalid kernel shape");if(J.outputShape.length!==0&&J.outputShape.length!==Q[0].dims.length-2)throw Error("invalid output shape")},dy=(Q,J,G,H)=>{let K=Q.kernelCustomData.wT??Q.compute(Ge(J[1],[2,3,0,1]),{inputs:[1],outputs:[G.wIsConst?-2:-1]})[0];G.wIsConst&&!Q.kernelCustomData.wT&&(Q.kernelCustomData.wT=K);let z=[J[0],K];J.length===3&&z.push(J[2]),Q.compute(sy(z,G,H),{inputs:z})},r$=(Q,J)=>{let G=J.format==="NHWC",H=[Q.inputs[0].reshape(G?[Q.inputs[0].dims[0],1,Q.inputs[0].dims[1],Q.inputs[0].dims[2]]:[Q.inputs[0].dims[0],Q.inputs[0].dims[1],1,Q.inputs[0].dims[2]]),Q.inputs[1].reshape([Q.inputs[1].dims[0],Q.inputs[1].dims[1],1,Q.inputs[1].dims[2]])];Q.inputs.length===3&&H.push(Q.inputs[2]);let K=J.kernelShape;(K.length===0||K[0]===0)&&(K=[Q.inputs[1].dims[2]]);let z=J.dilations;(z.length===0||z[0]===0)&&(z=[1]);let q=J.strides;(q.length===0||q[0]===0)&&(q=[1]);let F=J.pads;F.length===0&&(F=[0,0]),F=[0,F[0],0,F[1]],q=[1].concat(q),z=[1].concat(z),K=[1].concat(K);let D=J.outputPadding;D=[0].concat(D);let V=ly({...J,pads:F,strides:q,dilations:z,kernelShape:K,outputPadding:D},H);dy(Q,H,V,(O)=>G?[O[0],O[2],O[3]]:[O[0],O[1],O[3]])},py=(Q,J)=>{if(n$(Q.inputs,J),Q.inputs[0].dims.length===3)r$(Q,J);else{let G=ly(J,Q.inputs);dy(Q,Q.inputs,G)}}}),o$,hy,my,gy=$(()=>{X(),ee(),ke(),ne(),o$=(Q,J,G,H)=>{let K=S.size(J),z=J.length,q=A("input",Q,z),F=C("output",Q,z),D=G.dataType===6?G.getInt32Array()[0]:Number(G.getBigInt64Array()[0]),V=S.normalizeAxis(D,z),O=(P)=>{let N=` i32(${q.indicesGet("inputIndices","uniforms.axis")}) `,I=B("uniforms.input_shape","uniforms.axis",z),R=H.reverse?N+(H.exclusive?" + 1":""):"0",w=H.reverse?I:N+(H.exclusive?"":" + 1");return`
                ${P.registerUniform("outputSize","u32").registerUniform("axis","u32").declareVariables(q,F)}
                ${P.mainStart()}
                  ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
                  var inputIndices = ${F.offsetToIndices("global_idx")};
                  var sum = ${F.type.value}(0);
                  let first : i32 = ${R};
                  let last : i32 = ${w};
                  for (var i : i32 = first; i < last; i++) {
                    ${q.indicesSet("inputIndices","uniforms.axis","u32(i)")};
                    sum = sum + ${q.getByIndices("inputIndices")};
                  }
                  ${F.setByOffset("global_idx","sum")};
                }`};return{name:"CumSum",shaderCache:{hint:H.cacheKey,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:J,dataType:Q}],dispatchGroup:{x:Math.ceil(K/64)},programUniforms:[{type:12,data:K},{type:12,data:V},...k(J,J)]}),getShaderSource:O}},hy=(Q,J)=>{let G=Q.inputs[0].dims,H=Q.inputs[0].dataType,K=Q.inputs[1];Q.compute(o$(H,G,K,J),{inputs:[0]})},my=(Q)=>{let J=Q.exclusive===1,G=Q.reverse===1;return Z({exclusive:J,reverse:G})}}),i$,a$,s$,by,yy,_y=$(()=>{X(),ee(),ke(),ne(),i$=(Q)=>{if(!Q||Q.length!==1)throw Error("DepthToSpace requires 1 input.");if(Q[0].dims.length!==4)throw Error("DepthToSpace requires 4D input.")},a$=(Q,J,G,H)=>{let K=[];K.push(`fn perm(i: ${H.type.indices}) -> ${G.type.indices} {
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        var indices_indices = ${w.type.indices}(0);
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            let index = ${y.indicesGet("output_indices","uniforms.gather_axis + i")};
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        var data_indices = ${R.type.indices}(0);
        for (var i: u32 = 0; i < uniforms.gather_axis; i++) {
          let index = ${y.indicesGet("output_indices","i")};
          ${R.indicesSet("data_indices","i","index")};
        }
        var index_from_indices = ${w.getByIndices("indices_indices")};
        if (index_from_indices < 0) {
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        }
        ${R.indicesSet("data_indices","uniforms.gather_axis","u32(index_from_indices)")};
        for (var i = uniforms.gather_axis + 1; i < ${F.length}; i++) {
          let index = ${y.indicesGet("output_indices",`i + ${H.length} - 1`)};
          ${R.indicesSet("data_indices","i","index")};
        }
        let data_offset = ${R.indicesToOffset("data_indices")};
        let data_index = data_offset % 8;
        // Convert 4-bit packed data to 8-bit packed data.
        let packed_4bit_quantized_data = ${R.getByOffset("data_offset / 8")};
        let packed_8bit_quantized_data = (packed_4bit_quantized_data >> (4 * (data_index % 2))) & 0x0f0f0f0f;
        let quantized_data_vec = ${O?"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 = ${E.indicesGet("data_indices","uniforms.quantize_axis")} / uniforms.block_size;
        ${E.indicesSet("scale_indices","uniforms.quantize_axis","quantize_axis_index")};
        var scale = ${E.getByIndices("scale_indices")};
        ${T?`
              let zero_point_indices = scale_indices;
              let zero_point_offset = ${T.indicesToOffset("zero_point_indices")};
              let zero_point_index = zero_point_offset % 8;
              let packed_4bit_zero_points = ${T.getByOffset("zero_point_offset / 8")};
              let packed_8bit_zero_points = (packed_4bit_zero_points >> (4 * (zero_point_index % 2))) & 0x0f0f0f0f;
              let zero_point_vec = ${O?"unpack4xI8":"unpack4xU8"}(u32(packed_8bit_zero_points));
              let zero_point = zero_point_vec[zero_point_index / 2];`:"var zero_point = 0"};
        let dequantized_data = ${Ve(V)}(quantized_data - zero_point) * scale;
        ${y.setByOffset("global_idx","dequantized_data")};
    }`};return{name:"GatherBlockQuantized",shaderCache:{hint:`${J.cacheKey};${Q.filter((I,R)=>R!==1).map((I)=>I.dims.join("_")).join(";")}`,inputDependencies:Array.from({length:Q.length},(I,R)=>"rank")},getRunData:()=>({outputs:[{dims:F,dataType:V}],dispatchGroup:{x:Math.ceil(D/64)},programUniforms:P}),getShaderSource:N}},Ny=(Q,J)=>{let G=Q.inputs;y$(G,J),Q.compute(_$(Q.inputs,J))},zy=(Q)=>Z({blockSize:Q.blockSize,gatherAxis:Q.gatherAxis,quantizeAxis:Q.quantizeAxis})}),x$,w$,By,Fy,Vy=$(()=>{X(),ee(),ke(),ne(),x$=(Q)=>{if(!Q||Q.length!==2)throw Error("GatherElements requires 2 inputs.");if(Q[0].dims.length<1)throw Error("GatherElements requires that the data input be rank >= 1.");if(Q[0].dims.length!==Q[1].dims.length)throw Error(`GatherElements requires that the data input and
                     indices input tensors be of same rank.`)},w$=(Q,J)=>{let G=Q[0].dims,H=Q[0].dataType,K=G.length,z=Q[1].dims,q=Q[1].dataType,F=S.normalizeAxis(J.axis,K),D=G[F],V=z.slice(0),O=S.size(V),P=A("input",H,K),N=A("indicesInput",q,z.length),I=C("output",H,V.length),R=[{type:12,data:O},{type:6,data:D},{type:12,data:F}];return R.push(...k(G,z,V)),{name:"GatherElements",shaderCache:{inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:V,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(O/64)},programUniforms:R}),getShaderSource:(w)=>`
      ${w.registerUniform("outputSize","u32").registerUniform("axisDimLimit","i32").registerUniform("axis","u32").declareVariables(P,N,I)}
      ${w.mainStart()}
      ${w.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}

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

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

      ${I.setByOffset("global_idx","value")};
  }`}},By=(Q)=>Z({axis:Q.axis}),Fy=(Q,J)=>{let G=Q.inputs;x$(G),Q.compute(w$(Q.inputs,J))}}),T$,v$,Gy,Uy,Wy=$(()=>{X(),ee(),ne(),T$=(Q)=>{if(!Q)throw Error("Input is missing");if(Q.length<2||Q.length>3)throw Error("Invaid input number.");if(Q.length===3&&Q[2].dims.length>2)throw Error("Invalid input shape of C");if(Q[0].dataType!==Q[1].dataType||Q.length===3&&Q[0].dataType!==Q[2].dataType)throw Error("Input types are mismatched")},v$=(Q,J)=>{let G=Q[0].dims.slice(),H=Q[1].dims.slice(),[K,z,q]=Di.getShapeOfGemmResult(G,J.transA,H,J.transB,Q.length===3?Q[2].dims:void 0),F=[K,z];if(!F)throw Error("Can't use gemm on the given tensors");let D=16,V=Math.ceil(z/D),O=Math.ceil(K/D),P=!0,N=S.size(F),I=[{type:12,data:P?V:N},{type:12,data:K},{type:12,data:z},{type:12,data:q},{type:1,data:J.alpha},{type:1,data:J.beta}],R=["type","type"];Q.length===3&&(I.push(...k(Q[2].dims)),R.push("rank")),I.push(...k(F));let w=(T)=>{let y="";J.transA&&J.transB?y="value += a[k * uniforms.M + m] * b[n * uniforms.K + k];":J.transA&&!J.transB?y="value += a[k * uniforms.M + m] * b[k * uniforms.N + n];":!J.transA&&J.transB?y="value += a[m * uniforms.K + k] * b[n * uniforms.K + k];":!J.transA&&!J.transB&&(y="value += a[m * uniforms.K + k] * b[k * uniforms.N + n];");let x=J.alpha===1?"":"value *= uniforms.alpha;",b=A("a",Q[0].dataType,Q[0].dims),g=A("b",Q[1].dataType,Q[1].dims),l=b.type.value,_=null,a=[b,g];Q.length===3&&(_=A("c",Q[2].dataType,Q[2].dims.length),a.push(_));let r=C("output",Q[0].dataType,F.length);a.push(r);let f0=[{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`
  ${T.registerUniforms(f0).declareVariables(...a)}

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

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

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

    ${x}
    ${_!=null?`let cOffset = ${_.broadcastedIndicesToOffset("vec2(m, n)",r)}; value += ${l}(uniforms.beta) * ${_.getByOffset("cOffset")};`:""}
    output[global_idx] = value;
  }`},E=(T)=>{let y=A("a",Q[0].dataType,Q[0].dims),x=A("b",Q[1].dataType,Q[1].dims),b=null,g=[y,x];Q.length===3&&(b=A("c",Q[2].dataType,Q[2].dims.length),g.push(b));let l=C("output",Q[0].dataType,F.length);g.push(l);let _=[{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"}],a="",r="";J.transA&&J.transB?(r=`
      var col = tile_row_start + local_id.x;
      var row = k_start + local_id.y;
      if (col < uniforms.M && row < uniforms.K) {
        tile_a[local_id.y][local_id.x] = a[row * uniforms.M + col];
      } else {
        tile_a[local_id.y][local_id.x] = ${y.type.value}(0);
      }

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

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

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

      col = tile_col_start + local_id.x;
      row = k_start + local_id.y;
      if (col < uniforms.N && row < uniforms.K) {
        tile_b[local_id.y][local_id.x] = b[row * uniforms.N + col];
      } else {
        tile_b[local_id.y][local_id.x] = ${x.type.value}(0);
      }
      `,a="value += tile_a[local_id.y][k] * tile_b[k][local_id.x];");let f0=J.alpha===1?"":"value *= uniforms.alpha;";return`
  ${T.registerUniforms(_).declareVariables(...g)}
  var<workgroup> tile_a: array<array<${y.type.storage}, ${D}>, ${D}>;
  var<workgroup> tile_b: array<array<${x.type.storage}, ${D}>, ${D}>;
  ${T.mainStart([D,D,1])}
    let tile_col_start = (workgroup_index % uniforms.num_tile_n) * ${D};
    let tile_row_start = (workgroup_index / uniforms.num_tile_n) * ${D};
    let num_tiles = (uniforms.K - 1) / ${D} + 1;
    var k_start = 0u;
    var value = ${l.type.value}(0);
    for (var t: u32 = 0u; t < num_tiles; t++) {
      ${r}
      k_start = k_start + ${D};
      workgroupBarrier();

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

    ${f0}
    let m = tile_row_start + local_id.y;
    let n = tile_col_start + local_id.x;
    ${b!=null?`let cOffset = ${b.broadcastedIndicesToOffset("vec2(m, n)",l)}; value += ${l.type.value}(uniforms.beta) * ${b.getByOffset("cOffset")};`:""}
    if (m < uniforms.M && n < uniforms.N) {
      output[m * uniforms.N + n] = value;
    }
  }`};return P?{name:"GemmShared",shaderCache:{hint:`${J.cacheKey}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:F,dataType:Q[0].dataType}],dispatchGroup:{x:V*O},programUniforms:I}),getShaderSource:E}:{name:"Gemm",shaderCache:{hint:`${J.cacheKey}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:F,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(N/64)},programUniforms:I}),getShaderSource:w}},Gy=(Q)=>{let{transA:J,transB:G,alpha:H,beta:K}=Q;return{transA:J,transB:G,alpha:H,beta:K,cacheKey:`${Q.transA};${Q.transB};${Q.alpha===1}`}},Uy=(Q,J)=>{T$(Q.inputs),Q.compute(v$(Q.inputs,J))}}),On,Un,Pr,Or,I$,S$,$$,A$,P$,O$,E$,C$,Hy,qy,jy=$(()=>{X(),ee(),ke(),ne(),[On,Un,Pr,Or]=[0,1,2,3],I$=(Q)=>{if(Q[0].dims.length!==4)throw Error("only 4-D tensor is supported.");if(Q[0].dims.length!==Q[1].dims.length)throw Error("input dimensions must be equal to grid dimensions");if(Q[0].dims.length-2!==Q[1].dims[Q[1].dims.length-1])throw Error(`last dimension of grid must be equal to ${Q[0].dims.length-2}`);if(Q[0].dims[0]!==Q[1].dims[0])throw Error("grid batch size must match input batch size")},S$=`
  fn gs_get_cubic_coeffs(x: f32) -> vec4<f32> {
    let cubic_alpha = -0.75f;
    let x_abs = abs(x);
    var coeffs: vec4<f32>;
    coeffs[0] = (((cubic_alpha * (x_abs + 1) - 5 * cubic_alpha) * (x_abs + 1) + 8 * cubic_alpha) * (x_abs + 1) - 4 * cubic_alpha);
    coeffs[1] = (((cubic_alpha + 2) * x_abs - (cubic_alpha + 3)) * x_abs * x_abs + 1);
    coeffs[2] = (((cubic_alpha + 2) * (1 - x_abs) - (cubic_alpha + 3)) * (1 - x_abs) * (1 - x_abs) + 1);
    coeffs[3] = (((cubic_alpha * (2 - x_abs) - 5 * cubic_alpha) * (2 - x_abs) + 8 * cubic_alpha) * (2 - x_abs) - 4 * cubic_alpha);
    return coeffs;
  }
`,$$=(Q)=>`
  fn gs_bicubic_interpolate(p: mat4x4<${Q}>, x: f32, y: f32) -> ${Q} {
    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 = ${Q}(coeffs[0] * v[0] + coeffs[1] * v[1] + coeffs[2] * v[2] + coeffs[3] * v[3]);
    return pixel;
  }
`,A$=(Q)=>`
  fn gs_denormalize(n: f32, length: i32) -> f32 {
    ${Q.alignCorners===0?`
    // alignCorners: false => [-1, 1] to [-0.5, length - 0.5]
    return ((n + 1.0) * f32(length) - 1.0) / 2.0;
    `:`
    // alignCorners: true => [-1, 1] to [0, length - 1]
    return (n + 1.0) / 2.0 * (f32(length - 1));
    `}
  }
`,P$=(Q)=>`
  ${Q.paddingMode==="reflection"?`
      fn gs_reflect(x: i32, x_min: f32, x_max: f32) -> u32 {
        var dx = 0.0;
        var fx = f32(x);
        let range = x_max - x_min;
        if (fx < x_min) {
          dx = x_min - fx;
          let n = u32(dx / range);
          let r = dx - f32(n) * range;
          if (n % 2 == 0) {
            fx = x_min + r;
          } else {
            fx = x_max - r;
          }
        } else if (fx > x_max) {
          dx = fx - x_max;
          let n = u32(dx / range);
          let r = dx - f32(n) * range;
          if (n % 2 == 0) {
            fx = x_max - r;
          } else {
            fx = x_min + r;
          }
        }
        return u32(fx);
      }`:""}
`,O$=(Q,J,G)=>`
  fn pixel_at_grid(r: i32, c: i32, H: i32, W: i32, batch: u32, channel: u32, border: vec4<f32>) -> ${J} {
     var pixel = ${J}(0);
     var indices = vec4<u32>(0);
     indices[${On}] = batch;
     indices[${Un}] = channel;`+(()=>{switch(G.paddingMode){case"zeros":return`
          if (r >= 0 && r < H && c >=0 && c < W) {
            indices[${Pr}] = u32(r);
            indices[${Or}] = u32(c);
          } else {
            return ${J}(0);
          }
        `;case"border":return`
          indices[${Pr}] = u32(clamp(r, 0, H - 1));
          indices[${Or}] = u32(clamp(c, 0, W - 1));
        `;case"reflection":return`
          indices[${Pr}] = gs_reflect(r, border[1], border[3]);
          indices[${Or}] = gs_reflect(c, border[0], border[2]);
        `;default:throw Error(`padding mode ${G.paddingMode} is not supported`)}})()+`
    return ${Q.getByIndices("indices")};
  }
`,E$=(Q,J,G)=>(()=>{switch(G.mode){case"nearest":return`
          let result = pixel_at_grid(i32(round(y)), i32(round(x)), H_in, W_in, indices[${On}], indices[${Un}], 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[${On}], indices[${Un}], border);
          let p12 = pixel_at_grid(y1, x2, H_in, W_in, indices[${On}], indices[${Un}], border);
          let p21 = pixel_at_grid(y2, x1, H_in, W_in, indices[${On}], indices[${Un}], border);
          let p22 = pixel_at_grid(y2, x2, H_in, W_in, indices[${On}], indices[${Un}], border);

          let dx2 = ${J}(f32(x2) - x);
          let dx1 = ${J}(x - f32(x1));
          let dy2 = ${J}(f32(y2) - y);
          let dy1 = ${J}(y - f32(y1));
          let result = dy2 * (dx2 * p11 + dx1 * p12) + dy1 * (dx2 * p21 + dx1 * p22);
        `;case"bicubic":return`
          let x0 = i32(floor(x)) - 1;
          let y0 = i32(floor(y)) - 1;
          var p: mat4x4<${J}>;
          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[${On}], indices[${Un}], border);
            }
          }

          let dx = x - f32(x0 + 1);
          let dy = y - f32(y0 + 1);
          let result = gs_bicubic_interpolate(p, dx, dy);
        `;default:throw Error(`mode ${G.mode} is not supported`)}})()+`${Q.setByOffset("global_idx","result")}`,C$=(Q,J)=>{let G=A("x",Q[0].dataType,Q[0].dims.length),H=[Q[1].dims[0],Q[1].dims[1],Q[1].dims[2]],K=A("grid",Q[1].dataType,H.length,2),z=[Q[0].dims[0],Q[0].dims[1],Q[1].dims[1],Q[1].dims[2]];J.format==="NHWC"&&(z=[Q[0].dims[0],Q[1].dims[1],Q[1].dims[2],Q[0].dims[3]],[On,Un,Pr,Or]=[0,3,1,2]);let q=C("output",Q[0].dataType,z.length),F=G.type.value,D=S.size(z),V=[{type:12,data:D},...k(Q[0].dims,H,z)],O=(P)=>`
  ${P.registerUniform("output_size","u32").declareVariables(G,K,q)}
  ${S$}
  ${$$(F)}
  ${A$(J)}
  ${P$(J)}
  ${O$(G,F,J)}

  ${P.mainStart()}
    ${P.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let H_in = i32(uniforms.x_shape[${Pr}]);
      let W_in = i32(uniforms.x_shape[${Or}]);

      ${J.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 = ${q.offsetToIndices("global_idx")};
      var grid_indices = vec3<u32>(indices[${On}], indices[${Pr}], indices[${Or}]);
      let nxy = ${K.getByIndices("grid_indices")};
      var x = gs_denormalize(f32(nxy[0]), W_in);
      var y = gs_denormalize(f32(nxy[1]), H_in);

      ${E$(q,F,J)}
  }`;return{name:"GridSample",shaderCache:{hint:`${J.cacheKey}`,inputDependencies:["type","type"]},getRunData:(P)=>{let N=S.size(z);return{outputs:[{dims:z,dataType:P[0].dataType}],dispatchGroup:{x:Math.ceil(N/64)},programUniforms:V}},getShaderSource:O}},Hy=(Q,J)=>{I$(Q.inputs),Q.compute(C$(Q.inputs,J))},qy=(Q)=>Z({alignCorners:Q.align_corners,mode:Q.mode,paddingMode:Q.padding_mode,format:Q.format})}),at,L$,Xy,Ky,R$,ao,Zy,ml=$(()=>{X(),ee(),ke(),Mi(),Ui(),ne(),Pn(),at=(Q,J)=>Q.length>J&&Q[J].dims.length>0?Q[J]:void 0,L$=(Q,J)=>{let G=Q[0],H=at(Q,1),K=at(Q,2),z=at(Q,3),q=at(Q,4),F=at(Q,5),D=at(Q,6),V=at(Q,7);if(G.dims.length!==3&&G.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let O=G.dims[0],P=G.dims[1],N=G.dims.length===3?G.dims[2]:J.numHeads*G.dims[4],I=P,R=0,w=0,E=Math.floor(N/J.numHeads);if(D&&V&&S.size(D.dims)&&S.size(V.dims)){if(D.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(D.dims[0]!==O||D.dims[1]!==J.numHeads||D.dims[3]!==E)throw Error('Input "past_key" shape (batch_size, num_heads, past_sequence_length, head_size)');if(V.dims[0]!==O||V.dims[1]!==J.numHeads||V.dims[3]!==E)throw Error('Input "past_value" shape (batch_size, num_heads, past_sequence_length, head_size)');if(D.dims[2]!==V.dims[2])throw Error('Input "past_key" and "past_value" shall have same dim 2 (past_sequence_length)');if(V.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');R=D.dims[2],w=D.dims[2]}else if(D&&S.size(D.dims)||V&&S.size(V.dims))throw Error('Input "past_key" and "past_value" shall be both present or both absent');let T;if(H&&S.size(H.dims)>0){if(G.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(H.dims.length<3||H.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(G.dims[0]!==H.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(H.dims.length===3){if(H.dims[2]!==G.dims[2])throw Error('Input "query" and "key" shall have same dim 2 (hidden_size)');T=2,I=H.dims[1]}else if(H.dims.length===5){if(H.dims[2]!==J.numHeads||H.dims[3]!==2||H.dims[4]!==E)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(K)throw Error('Expect "value" be none when "key" has packed kv format.');T=5,I=H.dims[1]}else{if(H.dims[1]!==J.numHeads||H.dims[3]!==E)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');T=0,I=H.dims[2]}}else{if(G.dims.length!==5)throw Error('Input "query" is expected to have 5 dimensions when key is empty');if(G.dims[2]!==J.numHeads||G.dims[3]!==3)throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');T=3}if(z&&S.size(z.dims)>0){if(z.dims.length!==1)throw Error('Input "bias" is expected to have 1 dimension');if(H&&H.dims.length===5&&H.dims[3]===2)throw Error("bias is not allowed for packed kv.")}let y=R+I,x=0;if(q&&S.size(q.dims)>0){x=8;let _=q.dims;throw _.length===1?_[0]===O?x=1:_[0]===3*O+2&&(x=3):_.length===2&&_[0]===O&&_[1]===y&&(x=5),x===8?Error('Input "key_padding_mask" shape shall be (batch_size) or (batch_size, total_sequence_length)'):Error("Mask not supported")}let b=!1,g=N;if(K&&S.size(K.dims)>0){if(K.dims.length!==3&&K.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(G.dims[0]!==K.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(K.dims.length===3){if(I!==K.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');g=K.dims[2]}else{if(I!==K.dims[2])throw Error('Input "key" and "value" shall have the same dim 2 (kv_sequence_length)');g=K.dims[1]*K.dims[3],b=!0}}let l=!1;if(q&&S.size(q.dims)>0)throw Error("Key padding mask is not supported");if(F&&S.size(F.dims)>0){if(F.dims.length!==4)throw Error('Input "attention_bias" is expected to have 4 dimensions');if(F.dims[0]!==O||F.dims[1]!==J.numHeads||F.dims[2]!==P||F.dims[3]!==y)throw Error('Expect "attention_bias" shape (batch_size, num_heads, sequence_length, total_sequence_length)')}return{batchSize:O,sequenceLength:P,pastSequenceLength:R,kvSequenceLength:I,totalSequenceLength:y,maxSequenceLength:w,inputHiddenSize:0,hiddenSize:N,vHiddenSize:g,headSize:E,vHeadSize:Math.floor(g/J.numHeads),numHeads:J.numHeads,isUnidirectional:!1,pastPresentShareBuffer:!1,maskFilterValue:J.maskFilterValue,maskType:x,scale:J.scale,broadcastResPosBias:l,passPastInKv:b,qkvFormat:T}},Xy=(Q)=>Z({...Q}),Ky=Z({perm:[0,2,1,3]}),R$=(Q,J,G,H,K,z,q)=>{let F=[H,K,z],D=S.size(F),V=[{type:12,data:D},{type:12,data:q},{type:12,data:z}],O=(P)=>{let N=C("qkv_with_bias",J.dataType,F),I=A("qkv",J.dataType,F),R=A("bias",G.dataType,F),w=[{name:"output_size",type:"u32"},{name:"bias_offset",type:"u32"},{name:"hidden_size",type:"u32"}];return`
  ${P.registerUniforms(w).declareVariables(I,R,N)}
  ${P.mainStart()}
    ${P.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 Q.compute({name:"MultiHeadAttentionAddBias",shaderCache:{inputDependencies:["type","type"]},getRunData:()=>({outputs:[{dims:F,dataType:J.dataType,gpuDataType:0}],dispatchGroup:{x:Math.ceil(D/64)},programUniforms:V}),getShaderSource:O},{inputs:[J,G],outputs:[-1]})[0]},ao=(Q,J,G,H,K,z,q,F)=>{let D=z;if(q&&S.size(q.dims)>0){if(H===1)throw Error("AddBiasReshape is not implemented. Please export your model with packed QKV or KV");return D=R$(Q,z,q,J,H,G*K,F),D=D.reshape([J,H,G,K]),G===1||H===1?D:Q.compute(Ge(D,Ky.perm),{inputs:[D],outputs:[-1]})[0]}else return z.dims.length===3&&(D=z.reshape([J,H,G,K])),G===1||H===1?D:Q.compute(Ge(D,Ky.perm),{inputs:[D],outputs:[-1]})[0]},Zy=(Q,J)=>{let G=L$(Q.inputs,J),H=Q.inputs[0],K=at(Q.inputs,1),z=at(Q.inputs,2),q=at(Q.inputs,3),F=at(Q.inputs,4),D=at(Q.inputs,5),V=at(Q.inputs,6),O=at(Q.inputs,7);if(H.dims.length===5)throw Error("Packed QKV is not implemented");if(K?.dims.length===5)throw Error("Packed KV is not implemented");let P=K&&z&&K.dims.length===4&&z.dims.length===4,N=ao(Q,G.batchSize,G.numHeads,G.sequenceLength,G.headSize,H,q,0);if(P)return Ar(Q,N,K,z,F,void 0,V,O,D,G);if(!K||!z)throw Error("key and value must be provided");let I=ao(Q,G.batchSize,G.numHeads,G.kvSequenceLength,G.headSize,K,q,G.hiddenSize),R=ao(Q,G.batchSize,G.numHeads,G.kvSequenceLength,G.vHeadSize,z,q,2*G.hiddenSize);Ar(Q,N,I,R,F,void 0,V,O,D,G)}}),N$,z$,M$,B$,gl,Jy,Qy,bl=$(()=>{X(),ee(),ke(),ne(),N$=(Q)=>{if(!Q||Q.length<1)throw Error("too few inputs")},z$=(Q,J)=>{let G=[],H=J.numOutputs;return Q[1].dims[0]>0&&(Q[1].getBigInt64Array().forEach((K)=>G.push(Number(K))),H=G.length),Z({numOutputs:H,axis:J.axis,splitSizes:G})},M$=(Q)=>`
fn calculateOutputIndex(index: u32) -> u32 {
    for (var i: u32 = 0u; i < ${Q}u; i += 1u ) {
    if (index < ${B("uniforms.size_in_split_axis","i",Q)}) {
        return i;
    }
    }
    return ${Q}u;
}`,B$=(Q)=>{let J=Q.length,G=[];for(let H=0;H<J;++H){let K=Q[H].setByIndices("indices","input[global_idx]");J===1?G.push(K):H===0?G.push(`if (output_number == ${H}u) { ${K} }`):H===J-1?G.push(`else { ${K} }`):G.push(`else if (output_number == ${H}) { ${K} }`)}return`
      fn writeBufferData(output_number: u32, indices: ${Q[0].type.indices}, global_idx: u32) {
        ${G.join(`
`)}
      }`},gl=(Q,J)=>{let G=Q[0].dims,H=S.size(G),K=Q[0].dataType,z=S.normalizeAxis(J.axis,G.length),q=Array(J.numOutputs),F=A("input",K,G.length),D=Array(J.numOutputs),V=[],O=[],P=0,N=[{type:12,data:H}];for(let R=0;R<J.numOutputs;R++){P+=J.splitSizes[R],D[R]=P;let w=G.slice();w[z]=J.splitSizes[R],O.push(w),q[R]=C(`output${R}`,K,w.length),V.push({dims:O[R],dataType:Q[0].dataType})}N.push({type:12,data:D},...k(G,...O));let I=(R)=>`
  ${R.registerUniform("input_size","u32").registerUniform("size_in_split_axis","u32",D.length).declareVariables(F,...q)}
  ${M$(D.length)}
  ${B$(q)}

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

    var indices = ${F.offsetToIndices("global_idx")};
    var index = ${F.indicesGet("indices",z)};
    let output_number = calculateOutputIndex(index);
    if (output_number != 0) {
      index -= ${B("uniforms.size_in_split_axis","output_number - 1u",D.length)};
      ${F.indicesSet("indices",z,"index")};
    }
    writeBufferData(output_number, indices, global_idx);
  }`;return{name:"Split",shaderCache:{hint:J.cacheKey,inputDependencies:["rank"]},getShaderSource:I,getRunData:()=>({outputs:V,dispatchGroup:{x:Math.ceil(H/64)},programUniforms:N})}},Jy=(Q,J)=>{N$(Q.inputs);let G=Q.inputs.length===1?J:z$(Q.inputs,J);Q.compute(gl(Q.inputs,G),{inputs:[0]})},Qy=(Q)=>{let{axis:J,splitSizes:G}=Q,H=Q.numOutputs<0?G.length:Q.numOutputs;if(H!==G.length)throw Error("numOutputs and splitSizes length must be equal");return Z({axis:J,numOutputs:H,splitSizes:G})}}),F$,Yi,Yy,yl=$(()=>{X(),ee(),ke(),ne(),F$=(Q,J)=>{let[G,H,K,z]=Q,{numHeads:q,rotaryEmbeddingDim:F}=J;if(G.dims.length!==3&&G.dims.length!==4)throw Error(`Input 'x' is expected to have 3 or 4 dimensions, got ${G.dims.length}`);if(!S.areEqual(H.dims,[])&&!S.areEqual(H.dims,[1])&&H.dims.length!==2)throw Error(`Input 'position_ids' is expected to have 0, 1, or 2 dimensions, got ${H.dims.length}`);if(K.dims.length!==2)throw Error(`Input 'cos_cache' is expected to have 2 dimensions, got ${K.dims.length}`);if(z.dims.length!==2)throw Error(`Input 'sin_cache' is expected to have 2 dimensions, got ${z.dims.length}`);if(!S.areEqual(K.dims,z.dims))throw Error("Inputs 'cos_cache' and 'sin_cache' are expected to have the same shape");if(F>0&&q===0)throw Error("num_heads must be provided if rotary_embedding_dim is specified");let D=G.dims[0],V=G.dims[G.dims.length-2],O=K.dims[0],P=S.sizeFromDimension(G.dims,1)/V,N=F===0?K.dims[1]*2:P/q;if(F>N)throw Error("rotary_embedding_dim must be less than or equal to head_size");if(H.dims.length===2){if(D!==H.dims[0])throw Error(`Input 'position_ids' dimension 0 should be of size batch_size, got ${H.dims[0]}`);if(V!==H.dims[1])throw Error(`Input 'position_ids' dimension 1 should be of size sequence_length, got ${H.dims[1]}`)}if(V>O)throw Error("Updating cos_cache and sin_cache in RotaryEmbedding is not currently supported");if(N/2!==K.dims[1]&&F/2!==K.dims[1])throw Error(`Input 'cos_cache' dimension 1 should be same as head_size / 2 or rotary_embedding_dim / 2, got ${K.dims[1]}`)},Yi=(Q,J)=>{let{interleaved:G,numHeads:H,rotaryEmbeddingDim:K,scale:z}=J,q=Q[0].dims[0],F=S.sizeFromDimension(Q[0].dims,1),D=Q[0].dims[Q[0].dims.length-2],V=F/D,O=Q[2].dims[1],P=K===0?O*2:V/H,N=[q,D,V/P,P-O],I=S.computeStrides(N),R=[{type:1,data:z},{type:12,data:N},{type:12,data:I},...Q[0].dims.length===3?[{type:12,data:[F,V,P,1]}]:[],...Q[0].dims.length===4?[{type:12,data:[F,P,D*P,1]}]:[],...k(Q[0].dims,Q[1].dims,Q[2].dims,Q[3].dims,Q[0].dims)],w=(E)=>{let T=A("input",Q[0].dataType,Q[0].dims.length),y=A("position_ids",Q[1].dataType,Q[1].dims.length),x=A("cos_cache",Q[2].dataType,Q[2].dims.length),b=A("sin_cache",Q[3].dataType,Q[3].dims.length),g=C("output",Q[0].dataType,Q[0].dims.length);return E.registerUniforms([{name:"scale",type:"f32"},{name:"global_shape",type:"u32",length:N.length},{name:"global_strides",type:"u32",length:I.length},{name:"input_output_strides",type:"u32",length:I.length}]),`
        ${E.declareVariables(T,y,x,b,g)}

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

          if (bsnh[3] < half_rotary_emb_dim) {
            let position_ids_idx =
                ${y.broadcastedIndicesToOffset("bsnh.xy",C("",y.type.tensor,2))};
            let position_id =
                u32(${y.getByOffset("position_ids_idx")}) + select(0, bsnh[1], position_ids_idx == 0);
            let i = dot(bsnh, uniforms.input_output_strides) + select(0, bsnh[3], ${G});
            let j = i + select(half_rotary_emb_dim, 1, ${G});
            let re = ${T.getByOffset("i")} * ${x.get("position_id","bsnh[3]")} -
                ${T.getByOffset("j")} * ${b.get("position_id","bsnh[3]")};
            ${g.setByOffset("i","re")}
            let im = ${T.getByOffset("i")} * ${b.get("position_id","bsnh[3]")} +
                ${T.getByOffset("j")} * ${x.get("position_id","bsnh[3]")};
            ${g.setByOffset("j","im")}
          } else {
            let k = dot(bsnh, uniforms.input_output_strides) + half_rotary_emb_dim;
            ${g.setByOffset("k",T.getByOffset("k"))}
          }
        }`};return{name:"RotaryEmbedding",shaderCache:{hint:Z({interleaved:G}).cacheKey,inputDependencies:["rank","rank","rank","rank"]},getShaderSource:w,getRunData:()=>({outputs:[{dims:Q[0].dims,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(S.size(N)/ur)},programUniforms:R})}},Yy=(Q,J)=>{F$(Q.inputs,J),Q.compute(Yi(Q.inputs,J))}}),V$,G$,e_,U$,t_,n_=$(()=>{ke(),X(),Ui(),ml(),bl(),Pn(),yl(),ne(),V$=(Q,J)=>{if(J.doRotary&&Q.length<=7)throw Error("cos_cache and sin_cache inputs are required if do_rotary is specified");let G=Q[0],H=Q[1],K=Q[2],z=Q[3],q=Q[4];if(J.doRotary!==0&&Q.length<=7)throw Error("cos_cast and sin_cache are expected if do_rotary attribute is non-zero");if(J.localWindowSize!==-1)throw Error("Local attention is not supported");if(J.softcap!==0)throw Error("Softcap is not supported");if(J.rotaryInterleaved!==0)throw Error("Rotary interleaved is not supported");if(J.smoothSoftmax)throw Error("Smooth softmax is not supported");if(G.dims.length!==3&&G.dims.length!==5)throw Error("Input query is expected to have 3 or 5 dimensions");let F=!1,D=G.dims[0],V=G.dims[1],O=G.dims.length===3?F?G.dims[2]/3:G.dims[2]:J.numHeads*G.dims[4],P=V,N=0,I=!H||H.dims.length===0,R=Math.floor(I?O/(J.numHeads+2*J.kvNumHeads):O/J.numHeads);I&&(O=R*J.numHeads);let w=z&&z.dims.length!==0,E=q&&q.dims.length!==0;if(w&&z.dims.length===4&&z.dims[0]===D&&z.dims[1]!==J.kvNumHeads&&z.dims[2]===J.kvNumHeads&&z.dims[3]===R)throw Error("BSNH pastKey/pastValue is not supported");if(w&&E){if(z.dims.length!==4)throw Error('Input "past_key" is expected to have 4 dimensions');if(q.dims.length!==4)throw Error('Input "past_value" is expected to have 4 dimensions');N=z.dims[2]}else if(w||E)throw Error('Input "past_key" and "past_value" shall be both present or both absent');let T=1;if(H&&H.dims.length>0){if(G.dims.length!==3)throw Error('Input "query" is expected to have 3 dimensions when key is given');if(H.dims.length<3||H.dims.length>5)throw Error('Input "key" is expected to have 3, 4, or 5 dimensions');if(G.dims[0]!==H.dims[0])throw Error('Input "query" and "key" shall have same dim 0 (batch size)');if(H.dims.length===3){if(G.dims[2]%H.dims[2]!==0)throw Error('Dimension 2 of "query" should be a multiple of "key"');P=H.dims[1]}else if(H.dims.length===5){if(H.dims[2]!==J.numHeads||H.dims[3]!==2||H.dims[4]!==R)throw Error('Expect "key" shape (batch_size, kv_sequence_length, num_heads, 2, head_size) for packed kv');if(K)throw Error('Expect "value" be none when "key" has packed kv format.');P=H.dims[1]}else{if(H.dims[1]!==J.numHeads||H.dims[3]!==R)throw Error('Expect "key" shape (batch_size, num_heads, kv_sequence_length, head_size) for past_key');P=H.dims[2]}}else{if(G.dims.length!==3&&G.dims.length!==5)throw Error('Input "query" is expected to have 3 or 5 dimensions when key is empty');if(G.dims.length===5&&(G.dims[2]!==J.numHeads||G.dims[3]!==3))throw Error('Expect "query" shape (batch_size, kv_sequence_length, num_heads, 3, head_size) for packed kv');T=3}let y=0,x=!1,b=J.kvNumHeads?R*J.kvNumHeads:O;if(K&&K.dims.length>0){if(K.dims.length!==3&&K.dims.length!==4)throw Error('Input "value" is expected to have 3 or 4 dimensions');if(G.dims[0]!==K.dims[0])throw Error('Input "query" and "value" shall have same dim 0 (batch_size)');if(K.dims.length===3){if(P!==K.dims[1])throw Error('Input "key" and "value" shall have the same dim 1 (kv_sequence_length)');b=K.dims[2]}else{if(P!==K.dims[2])throw Error('Input "past_key" and "past_value" shall have the same dim 2 (kv_sequence_length)');b=K.dims[1]*K.dims[3],x=!0}}let g=Q.length>4?Q[5]:void 0;if(g){if(g.dims.length===0)throw Error("seqlens_k must be at least 1D, got scalar.");let l=g.dims.reduce((_,a)=>_*a,1);if(l!==D)throw Error(`seqlens_k must have batch_size (${D}) elements, got ${l}.`);for(let _=0;_<g.dims.length;_++)if(g.dims[_]!==1&&g.dims[_]!==D)throw Error(`seqlens_k has unexpected shape. Each dimension must be 1 or batch_size (${D}), got dims[${_}] = ${g.dims[_]}.`)}return{batchSize:D,sequenceLength:V,pastSequenceLength:N,kvSequenceLength:P,totalSequenceLength:-1,maxSequenceLength:-1,inputHiddenSize:0,hiddenSize:O,vHiddenSize:b,headSize:R,vHeadSize:Math.floor(b/J.kvNumHeads),numHeads:J.numHeads,kvNumHeads:J.kvNumHeads,nReps:J.numHeads/J.kvNumHeads,pastPresentShareBuffer:!1,maskType:y,scale:J.scale,broadcastResPosBias:!1,passPastInKv:x,qkvFormat:T}},G$=Z({perm:[0,2,1,3]}),e_=(Q,J,G)=>{let H=J,K=G.kvNumHeads;return J.dims.length===3&&G.kvSequenceLength!==0&&(H=J.reshape([G.batchSize,G.kvSequenceLength,K,G.headSize]),H=Q.compute(Ge(H,G$.perm),{inputs:[H],outputs:[-1]})[0]),H},U$=(Q,J,G,H)=>{let K=7,z=["type","type"],q=[Q*J],F=Q*J,D=[{type:12,data:F},{type:12,data:J},{type:12,data:Q}],V=(O)=>{let P=A("seq_lens",G.dataType,G.dims),N=A("total_seq_lens",H.dataType,H.dims),I=C("pos_ids",K,q),R=[{name:"output_size",type:"u32"},{name:"sequence_length",type:"u32"},{name:"batch_size",type:"u32"}];return`
  ${O.registerUniforms(R).declareVariables(P,N,I)}
  ${O.mainStart()}
    ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
    let total_sequence_length = u32(${N.getByOffset("0")});
    let is_subsequent_prompt = uniforms.sequence_length > 1 && uniforms.sequence_length != total_sequence_length;
    let is_first_prompt = !is_subsequent_prompt && uniforms.sequence_length == total_sequence_length;
    let batch_idx = global_idx / uniforms.sequence_length;
    let sequence_idx = i32(global_idx % uniforms.sequence_length);
    var pos_id: i32 = 0;
    let seqlen = ${P.getByOffset("batch_idx")};
    let total_seqlen = seqlen + 1;
    if (is_first_prompt) {
      if (sequence_idx < total_seqlen) {
        pos_id = sequence_idx;
      } else {
        pos_id = 1;
      }
      ${I.setByOffset("global_idx","pos_id")}
    } else if (is_subsequent_prompt) {
      let past_seqlen = total_seqlen - i32(uniforms.sequence_length);
      if (past_seqlen + sequence_idx < total_seqlen) {
        pos_id = past_seqlen + sequence_idx;
      } else {
        pos_id = 1;
      }
      ${I.setByOffset("global_idx","pos_id")}
    } else if (global_idx < uniforms.batch_size) {
      ${I.setByOffset("global_idx","seqlen")}
    };
  }
  `};return{name:"GeneratePositionIds",shaderCache:{hint:`${Q};${J}`,inputDependencies:z},getRunData:()=>({outputs:[{dims:q,dataType:K}],dispatchGroup:{x:Math.ceil(F/64)},programUniforms:D}),getShaderSource:V}},t_=(Q,J)=>{let G=V$(Q.inputs,J);if(Q.inputs[0].dims.length===5)throw Error("Packed QKV is not implemented");if(Q.inputs[1]?.dims.length===5)throw Error("Packed KV is not implemented");let H=Q.inputs[0],K=Q.inputs[1]&&Q.inputs[1].dims.length>0?Q.inputs[1]:void 0,z=Q.inputs[2]&&Q.inputs[2].dims.length>0?Q.inputs[2]:void 0,q=Q.inputs[3]&&Q.inputs[3].dims.length!==0?Q.inputs[3]:void 0,F=Q.inputs[4]&&Q.inputs[4].dims.length!==0?Q.inputs[4]:void 0,D=Q.inputs.length>4?Q.inputs[5]:void 0,V=Q.inputs.length>5?Q.inputs[6]:void 0,O=G.kvNumHeads?G.kvNumHeads:G.numHeads,P=Z({axis:2,numOutputs:3,splitSizes:[G.numHeads*G.headSize,O*G.headSize,O*G.headSize]}),[N,I,R]=!K&&!z?Q.compute(gl([H],P),{inputs:[H],outputs:[-1,-1,-1]}):[H,K,z],w,E;if(J.doRotary){let b=Q.compute(U$(G.batchSize,G.sequenceLength,D,V),{inputs:[D,V],outputs:[-1]})[0],g=Q.inputs[7],l=Q.inputs[8],_=Z({interleaved:J.rotaryInterleaved!==0,numHeads:G.numHeads,rotaryEmbeddingDim:0,scale:J.scale}),a=[N,b,g,l],r=[-1];w=Q.compute(Yi(a,_),{inputs:a,outputs:r})[0],a.splice(0,1,I);let f0=Z({interleaved:J.rotaryInterleaved!==0,numHeads:G.kvNumHeads,rotaryEmbeddingDim:0,scale:J.scale});E=Q.compute(Yi(a,f0),{inputs:a,outputs:r})[0]}let T=ao(Q,G.batchSize,G.numHeads,G.sequenceLength,G.headSize,J.doRotary?w:N,void 0,0),y=e_(Q,J.doRotary?E:I,G),x=e_(Q,R,G);Ar(Q,T,y,x,void 0,void 0,q,F,void 0,G,D,V)}}),r_,W$,H$,o_,i_=$(()=>{X(),ee(),Pn(),ne(),r_=(Q,J,G,H,K,z,q,F)=>{let D=he(z),V=D===1?"f32":`vec${D}f`,O=D===1?"vec2f":`mat2x${D}f`,P=K*q,N=64;P===1&&(N=256);let I=[K,q,z/D],R=[K,q,2],w=["rank","type","type"],E=[];E.push(...k(I,R));let T=(y)=>{let x=A("x",J.dataType,3,D),b=A("scale",G.dataType,G.dims),g=A("bias",H.dataType,H.dims),l=C("output",1,3,2),_=[x,b,g,l];return`
  var<workgroup> workgroup_shared : array<${O}, ${N}>;
  const workgroup_size = ${N}u;
  ${y.declareVariables(..._)}
  ${y.mainStart(N)}
    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 = ${V}(0);
    var squared_sum = ${V}(0);
    for (var h = local_idx; h < hight; h += workgroup_size) {
      let value = ${V}(${x.get("batch","channel","h")});
      sum += value;
      squared_sum += value * value;
    }
    workgroup_shared[local_idx] = ${O}(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 = ${At("workgroup_shared[0][0]",D)} / f32(hight * ${D});
      let squared_sum_final = ${At("workgroup_shared[0][1]",D)} / f32(hight * ${D});

      let inv_std_dev = inverseSqrt(squared_sum_final - sum_final * sum_final + f32(${F}));
      let channel_scale = inv_std_dev * f32(scale[channel]);
      let channel_shift = f32(bias[channel]) - sum_final * channel_scale;
      output[workgroup_index] = vec2f(channel_scale, channel_shift);
    }
  }`};return Q.compute({name:"InstanceNormComputeChannelScaleShift",shaderCache:{hint:`${D};${F};${N}`,inputDependencies:w},getRunData:()=>({outputs:[{dims:R,dataType:1}],dispatchGroup:{x:P},programUniforms:E}),getShaderSource:T},{inputs:[J,G,H],outputs:[-1]})[0]},W$=(Q,J,G)=>{let H=J[0].dims,K=H,z=2,q=H[0],F=H[1],D=S.sizeFromDimension(H,z),V=he(D),O=S.size(K)/V,P=r_(Q,J[0],J[1],J[2],q,D,F,G.epsilon),N=[q,F,D/V],I=[q,F],R=["type","none"],w=(E)=>{let T=A("x",J[0].dataType,N.length,V),y=A("scale_shift",1,I.length,2),x=C("output",J[0].dataType,N.length,V),b=[T,y,x];return`
  ${E.registerUniform("output_size","u32").declareVariables(...b)}
  ${E.mainStart()}
  ${E.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let outputIndices = ${x.offsetToIndices("global_idx")};
      let batch = outputIndices[0];
      let channel = outputIndices[1];
      let scale_shift = ${y.getByIndices("vec2<u32>(batch, channel)")};
      let value = ${T.getByOffset("global_idx")} * ${x.type.value}(scale_shift.x) + ${x.type.value}(scale_shift.y);
      ${x.setByOffset("global_idx","value")};
  }`};Q.compute({name:"InstanceNormalization",shaderCache:{hint:`${V}`,inputDependencies:R},getRunData:()=>({outputs:[{dims:K,dataType:J[0].dataType}],dispatchGroup:{x:Math.ceil(O/64)},programUniforms:[{type:12,data:O},...k(N,I,N)]}),getShaderSource:w},{inputs:[J[0],P]})},H$=(Q,J,G)=>{let H=J[0].dims,K=H,z=H[0],q=H[H.length-1],F=S.sizeFromDimension(H,1)/q,D=he(q),V=S.size(K)/D,O=[{type:12,data:F},{type:12,data:Math.floor(q/D)}],P=["type","type"],N=!1,I=[0,H.length-1];for(let T=0;T<H.length-2;T++)N=N||H[T+1]!==1,I.push(T+1);N=N&&H[H.length-1]!==1;let R=N?Q.compute(Ge(Q.inputs[0],I),{inputs:[Q.inputs[0]],outputs:[-1]})[0]:Q.inputs[0].reshape(Array.from({length:H.length},(T,y)=>H[I[y]])),w=r_(Q,R,J[1],J[2],z,F,q,G.epsilon),E=(T)=>{let y=ve(J[0].dataType),x=D===1?"vec2f":`mat${D}x2f`,b=(_)=>{let a=_===0?"x":"y",r=D===1?"f32":`vec${D}f`;switch(D){case 1:return`${y}(${r}(scale.${a}))`;case 2:return`vec2<${y}>(${r}(scale[0].${a}, scale[1].${a}))`;case 4:return`vec4<${y}>(${r}(scale[0].${a}, scale[1].${a}, scale[2].${a}, scale[3].${a}))`;default:throw Error(`Not supported compoents ${D}`)}},g=A("input",J[0].dataType,J[0].dims,D),l=C("output",J[0].dataType,K,D);return`
  @group(0) @binding(0) var<storage, read> input : array<${g.type.storage}>;
  @group(0) @binding(1) var<storage, read> scale_input : array<${x}>;
  @group(0) @binding(2) var<storage, read_write> output : array<${l.type.storage}>;
  struct Uniforms {H: u32, C : u32};
  @group(0) @binding(3) var<uniform> uniforms: Uniforms;

  ${T.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], ${b(0)}, ${b(1)});
  }`};Q.compute({name:"InstanceNormalizationNHWC",shaderCache:{hint:`${D}`,inputDependencies:P},getRunData:()=>({outputs:[{dims:K,dataType:J[0].dataType}],dispatchGroup:{x:Math.ceil(V/64)},programUniforms:O}),getShaderSource:E},{inputs:[J[0],w]})},o_=(Q,J)=>{J.format==="NHWC"?H$(Q,Q.inputs,J):W$(Q,Q.inputs,J)}}),q$,j$,a_,s_=$(()=>{X(),ee(),ne(),q$=(Q)=>{if(!Q||Q.length<2)throw Error("layerNorm requires at least 2 inputs.")},j$=(Q,J,G)=>{let H=J.simplified,K=Q[0].dims,z=Q[1],q=!H&&Q[2],F=K,D=S.normalizeAxis(J.axis,K.length),V=S.sizeToDimension(K,D),O=S.sizeFromDimension(K,D),P=S.size(z.dims),N=q?S.size(q.dims):0;if(P!==O||q&&N!==O)throw Error(`Size of X.shape()[axis:] == ${O}.
       Size of scale and bias (if provided) must match this.
       Got scale size of ${P} and bias size of ${N}`);let I=[];for(let g=0;g<K.length;++g)g<D?I.push(K[g]):I.push(1);let R=he(O),w=["type","type"],E=[{type:12,data:V},{type:1,data:O},{type:12,data:Math.floor(O/R)},{type:1,data:J.epsilon}];q&&w.push("type");let T=G>1,y=G>2,x=(g)=>{let l=ve(Q[0].dataType),_=[A("x",Q[0].dataType,Q[0].dims,R),A("scale",z.dataType,z.dims,R)];q&&_.push(A("bias",q.dataType,q.dims,R)),_.push(C("output",Q[0].dataType,F,R)),T&&_.push(C("mean_data_output",1,I)),y&&_.push(C("inv_std_output",1,I));let a=[{name:"norm_count",type:"u32"},{name:"norm_size",type:"f32"},{name:"norm_size_vectorized",type:"u32"},{name:"epsilon",type:"f32"}];return`
  ${g.registerUniforms(a).declareVariables(..._)}
  ${g.mainStart()}
    ${g.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.norm_count")}
    let offset = global_idx * uniforms.norm_size_vectorized;
    var mean_vector = ${el("f32",R)};
    var mean_square_vector = ${el("f32",R)};

    for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
      let value = ${lr(l,R,"x[h + offset]")};
      mean_vector += value;
      mean_square_vector += value * value;
    }
    let mean = ${At("mean_vector",R)} / uniforms.norm_size;
    let inv_std_dev = inverseSqrt(${At("mean_square_vector",R)} / uniforms.norm_size ${H?"":"- mean * mean"} + uniforms.epsilon);

    for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
      let f32input = ${lr(l,R,"x[j + offset]")};
      let f32scale = ${lr(l,R,"scale[j]")};
      output[j + offset] = ${_[0].type.value}((f32input ${H?"":"- mean"}) * inv_std_dev * f32scale
        ${q?`+ ${lr(l,R,"bias[j]")}`:""}
      );
    }

    ${T?"mean_data_output[global_idx] = mean":""};
    ${y?"inv_std_output[global_idx] = inv_std_dev":""};
  }`},b=[{dims:F,dataType:Q[0].dataType}];return T&&b.push({dims:I,dataType:1}),y&&b.push({dims:I,dataType:1}),{name:"LayerNormalization",shaderCache:{hint:`${R};${G};${H}`,inputDependencies:w},getRunData:()=>({outputs:b,dispatchGroup:{x:Math.ceil(V/64)},programUniforms:E}),getShaderSource:x}},a_=(Q,J)=>{q$(Q.inputs),Q.compute(j$(Q.inputs,J,Q.outputCount))}}),K$,u_,l_=$(()=>{ee(),Xi(),Zi(),K$=(Q)=>{if(!Q||Q.length!==2)throw Error("MatMul requires 2 inputs.");if(Q[0].dims[Q[0].dims.length-1]!==Q[1].dims[Q[1].dims.length-2])throw Error("shared dimension does not match.")},u_=(Q)=>{K$(Q.inputs);let J=bn.calcShape(Q.inputs[0].dims,Q.inputs[1].dims,!0);if(!J)throw Error("Can't use matmul on the given tensors");let G=J[J.length-1],H=Q.inputs[0].dims[Q.inputs[0].dims.length-1];if(G<8&&H<8)Q.compute(Ki(Q.inputs,{activation:""},J));else{let K=J[J.length-2],z=S.size(Q.inputs[0].dims.slice(0,-2)),q=S.size(Q.inputs[1].dims.slice(0,-2));if(z!==1&&K===1&&q===1){let F=Q.inputs[0].reshape([1,z,H]),D=Q.inputs[1].reshape([1,H,G]),V=[1,z,G],O=[F,D];Q.compute(io(O,{activation:""},J,V),{inputs:O})}else Q.compute(io(Q.inputs,{activation:""},J))}}}),X$,Z$,J$,c_,d_,p_=$(()=>{X(),ee(),ke(),ne(),X$=(Q,J)=>{if(Q.length<3||Q.length>4)throw Error("MatMulNBits requires 3 or 4 inputs");let G=Q[0],H=G.dims.length;if(G.dims[H-1]!==J.k)throw Error("The last dim of input shape does not match the k value");let K=Math.floor((J.k+J.blockSize-1)/J.blockSize),z=J.blockSize/8*J.bits,q=Q[1];if(!S.areEqual(q.dims,[J.n,K,z]))throw Error("The second inputs must be 3D tensor with shape N X nBlocksPerCol X blobSize");let F=Q[2].dims;if(S.size(F)!==J.n*K)throw Error("scales input size error.");if(Q.length===4){let D=Q[3].dims,V=J.n*(J.bits===8?K:Math.floor((K*J.bits+7)/8));if(S.size(D)!==V)throw Error("zeroPoints input size error.")}},Z$=(Q,J)=>{let G=Q[0].dims,H=G.length,K=G[H-2],z=J.k,q=J.n,F=G.slice(0,H-2),D=S.size(F),V=Q[1].dims[2]/4,O=Q[0].dataType,P=he(J.k),N=he(V),I=he(q),R=F.concat([K,q]),w=K>1&&q/I%2===0?2:1,E=S.size(R)/I/w,T=64,y=[],x=[D,K,z/P],b=S.convertShape(Q[1].dims).slice();b.splice(-1,1,V/N),y.push(...k(x)),y.push(...k(b)),y.push(...k(Q[2].dims)),Q.length===4&&y.push(...k(S.convertShape(Q[3].dims)));let g=[D,K,q/I];y.push(...k(g));let l=(_)=>{let a=x.length,r=A("a",Q[0].dataType,a,P),f0=A("b",12,b.length,N),t=A("scales",Q[2].dataType,Q[2].dims.length),p0=[r,f0,t],u0=Q.length===4?A("zero_points",12,Q[3].dims.length):void 0;u0&&p0.push(u0);let d=g.length,n=C("output",Q[0].dataType,d,I),c0=ve(Q[0].dataType),WQ=(()=>{switch(P){case 1:return`array<${c0}, 8>`;case 2:return`mat4x2<${c0}>`;case 4:return`mat2x4<${c0}>`;default:throw Error(`${P}-component is not supported.`)}})(),R0=Math.floor(32/J.bits),l0=Math.floor(R0/8),d0=()=>{let LQ="";for(let h0=0;h0<l0;h0++){let pQ=h0*J.bits*4,iQ=pQ+J.bits;LQ+=`
          // reuse a data (pass ${h0})
            var input_offset${h0>0?h0:""} = ${h0===0?r.indicesToOffset(`${r.type.indices}(batch, row, word_offset)`):"input_offset"};
            var a_data${h0>0?h0:""}: ${WQ};
            for (var j${h0>0?h0:""}: u32 = 0; j${h0>0?h0:""} < ${8/P}; j${h0>0?h0:""}++) {
              a_data${h0>0?h0:""}[j${h0>0?h0:""}] = ${r.getByOffset(`input_offset${h0>0?h0:""}`)};
              input_offset${h0>0?h0:""}++;
            }
          `;for(let mQ=0;mQ<I*w;mQ++)LQ+=`
            b_value = ${N===1?`b${mQ}_data`:`b${mQ}_data[i]`};
            ${J.bits===2?`{
              let half_word = b_value >> ${h0*16}u;
              let byte_lo = half_word & 0xFFu;
              let byte_hi = (half_word >> 8u) & 0xFFu;
              let spread_word = (byte_lo & 0xFu) | ((byte_lo >> 4u) << 8u) | ((byte_hi & 0xFu) << 16u) | ((byte_hi >> 4u) << 24u);
              b_value_lower = unpack4xU8(spread_word & b_mask);
              b_value_upper = unpack4xU8((spread_word >> 2u) & b_mask);
            }`:`b_value_lower = unpack4xU8((b_value >> ${pQ}u) & b_mask);
            b_value_upper = unpack4xU8((b_value >> ${iQ}u) & b_mask);`}
            b_quantized_values = ${WQ}(${Array.from({length:4},(AQ,MQ)=>`${c0}(b_value_lower[${MQ}]), ${c0}(b_value_upper[${MQ}])`).join(", ")});
            b_dequantized_values = ${P===1?`${WQ}(${Array.from({length:8},(AQ,MQ)=>`(b_quantized_values[${MQ}] - ${u0?`zero_point${mQ}`:"zero_point"}) * scale${mQ}`).join(", ")});`:`(b_quantized_values - ${WQ}(${Array(8).fill(`${u0?`zero_point${mQ}`:"zero_point"}`).join(",")})) * scale${mQ};`};
            workgroup_shared[local_id.x * ${w} + ${Math.floor(mQ/I)}]${I>1?`[${mQ%I}]`:""} += ${Array.from({length:8/P},(AQ,MQ)=>`${P===1?`a_data${h0>0?h0:""}[${MQ}] * b_dequantized_values[${MQ}]`:`dot(a_data${h0>0?h0:""}[${MQ}], b_dequantized_values[${MQ}])`}`).join(" + ")};
          `}return LQ},m0=()=>{let LQ=`
            var col_index = col * ${I};
            ${u0?`
            let zero_point_values_per_byte: u32 = ${Math.floor(8/J.bits)}u;
            let zero_point_bytes_per_col = (nBlocksPerCol + zero_point_values_per_byte - 1u) / zero_point_values_per_byte;
            var zero_point_byte_count: u32;
            var zero_point_word_index: u32;
            var zero_point_byte_offset: u32;
            let zero_point_sub_offset: u32 = block % zero_point_values_per_byte;
            var zero_point_bits_offset: u32;
            var zero_point_word: u32;`:`
            // The default zero point is ${Math.pow(2,J.bits-1)} for unsigned ${J.bits}-bit quantization.
            let zero_point = ${c0}(${Math.pow(2,J.bits-1).toFixed(1)});`}
            `;for(let h0=0;h0<I*w;h0++)LQ+=`
            let scale${h0} = ${t.getByOffset("col_index * nBlocksPerCol + block")};
            ${u0?`
            zero_point_byte_count = col_index * zero_point_bytes_per_col + (block / zero_point_values_per_byte);
            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_sub_offset * ${J.bits}u);
            zero_point_word = ${u0.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point${h0} = ${c0}((zero_point_word) & ${J.bits===2?"0x3u":"0xFu"});`:""}
            col_index += 1;`;return LQ},ZQ=()=>{let LQ=`col_index = col * ${I};`;for(let h0=0;h0<I*w;h0++)LQ+=`
            let b${h0}_data = ${f0.getByIndices(`${f0.type.indices}(col_index, block, word)`)};
            col_index += 1;`;return LQ+=`
            var b_value: u32;
            let b_mask: u32 = ${J.bits===2?"0x03030303u":"0x0F0F0F0Fu"};
            var b_value_lower: vec4<u32>;
            var b_value_upper: vec4<u32>;
            var b_quantized_values: ${WQ};
            var b_dequantized_values: ${WQ};`,LQ};return`
        var<workgroup> workgroup_shared: array<${n.type.value}, ${w*T}>;
        ${_.declareVariables(...p0,n)}
        ${_.mainStart([T,1,1])}
          let output_indices = ${n.offsetToIndices(`(global_idx / ${T}) * ${w}`)};
          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 += ${T}) {
            //process one block
            var word_offset: u32 = block * ${J.blockSize/P};
            ${m0()}
            for (var word: u32 = 0; word < ${V}; word += ${N}) {
              ${ZQ()}
              for (var i: u32 = 0; i < ${N}; i++) {
                ${d0()}
                word_offset += ${R0/P};
              }
            }
          }
          workgroupBarrier();

          if (local_id.x < ${w}) {
            var output_value: ${n.type.value} = ${n.type.value}(0);
            var workgroup_shared_offset: u32 = local_id.x;
            for (var b: u32 = 0u; b < ${T}u; b++) {
              output_value += workgroup_shared[workgroup_shared_offset];
              workgroup_shared_offset += ${w};
            }
            ${n.setByIndices(`${n.type.indices}(batch, row, col + local_id.x)`,"output_value")};
          }
        }`};return{name:"MatMulNBits",shaderCache:{hint:`${J.blockSize};${J.bits};${P};${N};${I};${w};${T}`,inputDependencies:Array(Q.length).fill("rank")},getRunData:()=>({outputs:[{dims:R,dataType:O}],dispatchGroup:{x:E},programUniforms:y}),getShaderSource:l}},J$=(Q,J)=>{let G=Q[0].dims,H=G.length,K=G[H-2],z=J.k,q=J.n,F=G.slice(0,H-2),D=S.size(F),V=Q[1].dims[2]/4,O=Q[0].dataType,P=he(J.k),N=he(V),I=F.concat([K,q]),R=128,w=q%8===0?8:q%4===0?4:1,E=R/w,T=Math.floor(32/J.bits),y=E*N*T,x=y/P,b=y/J.blockSize,g=S.size(I)/w,l=[],_=[D,K,z/P],a=S.convertShape(Q[1].dims).slice();a.splice(-1,1,V/N),l.push(...k(_)),l.push(...k(a)),l.push(...k(Q[2].dims)),Q.length===4&&l.push(...k(S.convertShape(Q[3].dims)));let r=[D,K,q];l.push(...k(r));let f0=(t)=>{let p0=_.length,u0=A("a",Q[0].dataType,p0,P),d=A("b",12,a.length,N),n=A("scales",Q[2].dataType,Q[2].dims.length),c0=[u0,d,n],WQ=Q.length===4?A("zero_points",12,Q[3].dims.length):void 0;WQ&&c0.push(WQ);let R0=r.length,l0=C("output",Q[0].dataType,R0),d0=ve(Q[0].dataType),m0=()=>{switch(P){case 1:return`
          let a_data0 = vec4<${d0}>(sub_a[word_offset], sub_a[word_offset + 1], sub_a[word_offset + 2], sub_a[word_offset + 3]);
          let a_data1 = vec4<${d0}>(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<${d0}>(sub_a[word_offset], sub_a[word_offset + 1]);
          let a_data1 = vec4<${d0}>(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 Error(`${P}-component is not supported.`)}};return`
        var<workgroup> sub_a: array<${u0.type.value}, ${x}>;
        var<workgroup> inter_results: array<array<${l0.type.value}, ${E}>, ${w}>;
        ${t.declareVariables(...c0,l0)}
        ${t.mainStart([E,w,1])}
          let output_indices = ${l0.offsetToIndices(`workgroup_index * ${w}`)};
          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) / ${b} + 1;

          // Loop over shared dimension.
          for (var tile: u32 = 0; tile < num_tiles; tile += 1) {
            let a_col_start = tile * ${x};
            // load one tile A data into shared memory.
            for (var a_offset = local_idx; a_offset < ${x}; a_offset += ${R})
            {
              let a_col = a_col_start + a_offset;
              if (a_col < uniforms.a_shape[2])
              {
                sub_a[a_offset] = ${u0.getByIndices(`${u0.type.indices}(batch, row, a_col)`)};
              } else {
                sub_a[a_offset] = ${u0.type.value}(0);
              }
            }
            workgroupBarrier();

            // each thread process one block
            let b_row = col + local_id.y;
            let block = tile * ${b} + local_id.x;
            ${WQ?`
            let zero_point_values_per_byte: u32 = ${Math.floor(8/J.bits)}u;
            let zero_point_bytes_per_col = (n_blocks_per_col + zero_point_values_per_byte - 1u) / zero_point_values_per_byte;
            let zero_point_byte_count = b_row * zero_point_bytes_per_col + (block / zero_point_values_per_byte);
            let zero_point_word_index = zero_point_byte_count >> 0x2u;
            let zero_point_byte_offset = zero_point_byte_count & 0x3u;
            let zero_point_sub_offset: u32 = block % zero_point_values_per_byte;
            let zero_point_bits_offset = (zero_point_byte_offset << 3) + (zero_point_sub_offset * ${J.bits}u);
            let zero_point_word = ${WQ.getByOffset("zero_point_word_index")} >> zero_point_bits_offset;
            let zero_point = ${d0}((zero_point_word) & ${J.bits===2?"0x3u":"0xFu"});`:`
            // The default zero point is ${Math.pow(2,J.bits-1)} for unsigned ${J.bits}-bit quantization.
            let zero_point = ${d0}(${Math.pow(2,J.bits-1).toFixed(1)});`}
            let scale = ${n.getByOffset("b_row * n_blocks_per_col + block")};
            let b_data = ${d.getByIndices(`${d.type.indices}(b_row, block, 0)`)};
            var word_offset = local_id.x * ${J.blockSize/P};
            for (var i: u32 = 0; i < ${N}; i++) {
              let b_value = ${N===1?"b_data":"b_data[i]"};
              ${(()=>{let ZQ=Math.floor(T/8),LQ="";for(let h0=0;h0<ZQ;h0++){let pQ=h0*J.bits*4,iQ=pQ+J.bits;LQ+=`
              ${m0()}
              {${J.bits===2?`
                let half_word = b_value >> ${h0*16}u;
                let byte_lo = half_word & 0xFFu;
                let byte_hi = (half_word >> 8u) & 0xFFu;
                let spread_word = (byte_lo & 0xFu) | ((byte_lo >> 4u) << 8u) | ((byte_hi & 0xFu) << 16u) | ((byte_hi >> 4u) << 24u);
                let b_value_lower = unpack4xU8(spread_word & 0x03030303u);
                let b_value_upper = unpack4xU8((spread_word >> 2u) & 0x03030303u);`:`
                let b_value_lower = unpack4xU8((b_value >> ${pQ}u) & 0x0F0F0F0Fu);
                let b_value_upper = unpack4xU8((b_value >> ${iQ}u) & 0x0F0F0F0Fu);`}
                let b_quantized_values = mat2x4<${d0}>(${Array.from({length:4},(mQ,AQ)=>`${d0}(b_value_lower[${AQ}]), ${d0}(b_value_upper[${AQ}])`).join(", ")});
                let b_dequantized_values = (b_quantized_values - mat2x4<${d0}>(${Array(8).fill("zero_point").join(",")})) * scale;
                inter_results[local_id.y][local_id.x] += ${Array.from({length:2},(mQ,AQ)=>`${`dot(a_data${AQ}, b_dequantized_values[${AQ}])`}`).join(" + ")};
              }
              word_offset += ${8/P};`}return LQ})()}
            }
            workgroupBarrier();
          }

          if (local_idx < ${w}) {
            var output_value: ${l0.type.value} = ${l0.type.value}(0);
            for (var b = 0u; b < ${E}; b++) {
              output_value += inter_results[local_idx][b];
            }
            if (col + local_idx < uniforms.output_shape[2])
            {
              ${l0.setByIndices(`${l0.type.indices}(batch, row, col + local_idx)`,"output_value")}
            }
          }
        }`};return{name:"BlockwiseMatMulNBits32",shaderCache:{hint:`${J.blockSize};${P};${N};${E};${w}`,inputDependencies:Array(Q.length).fill("rank")},getRunData:()=>({outputs:[{dims:I,dataType:O}],dispatchGroup:{x:g},programUniforms:l}),getShaderSource:f0}},c_=(Q,J)=>{X$(Q.inputs,J),J.blockSize===32&&Q.adapterInfo.isVendor("intel")&&Q.adapterInfo.isArchitecture("gen-12lp")?Q.compute(J$(Q.inputs,J)):Q.compute(Z$(Q.inputs,J))},d_=(Q)=>Z(Q)}),Q$,Y$,eA,tA,nA,rA,oA,iA,f_,h_=$(()=>{X(),ee(),ne(),Q$=(Q)=>{if(!Q||Q.length<1)throw Error("Too few inputs");if(Q[0].dataType!==1&&Q[0].dataType!==10)throw Error("Input type must be float or float16.");if(Q.length>=2){let J=Q[0].dims.length*2===Q[1].dims[0];if(Q.length===4&&(J=Q[3].dims[0]*2===Q[1].dims[0]),!J)throw Error("The pads should be a 1D tensor of shape [2 * input_rank] or [2 * num_axes].")}},Y$=(Q,J,G)=>{let H="";for(let K=J-1;K>=0;--K)H+=`
            k = i32(${Q.indicesGet("indices",K)}) - ${B("uniforms.pads",K,G)};
            if (k < 0) {
              break;
            }
            if (k >= i32(${B("uniforms.x_shape",K,J)})) {
              break;
            }
            offset += k * i32(${B("uniforms.x_strides",K,J)});
        `;return`
          value = ${Q.type.value}(uniforms.constant_value);
          for (var i = 0; i < 1; i++) {
            var offset = 0;
            var k = 0;
            ${H}
            value = x[offset];
          }
      `},eA=(Q,J,G)=>{let H="";for(let K=J-1;K>=0;--K)H+=`
                k = i32(${Q.indicesGet("indices",K)}) - ${B("uniforms.pads",K,G)};
                if (k < 0) {
                  k = -k;
                }
                {
                  let _2n_1 = 2 * (i32(${B("uniforms.x_shape",K,J)}) - 1);
                  k = k % _2n_1;
                  if(k >= i32(${B("uniforms.x_shape",K,J)})) {
                    k = _2n_1 - k;
                  }
                }
                offset += k * i32(${B("uniforms.x_strides",K,J)});
            `;return`
              var offset = 0;
              var k = 0;
              ${H}
              value = x[offset];
          `},tA=(Q,J,G)=>{let H="";for(let K=J-1;K>=0;--K)H+=`
                k = i32(${Q.indicesGet("indices",K)}) - ${B("uniforms.pads",K,G)};
                if (k < 0) {
                  k = 0;
                }
                if (k >= i32(${B("uniforms.x_shape",K,J)})) {
                  k = i32(${B("uniforms.x_shape",K,J)}) - 1;
                }
                offset += k * i32(${B("uniforms.x_strides",K,J)});
            `;return`
              var offset = 0;
              var k = 0;
              ${H}
              value = x[offset];
          `},nA=(Q,J,G)=>{let H="";for(let K=J-1;K>=0;--K)H+=`
                k = i32(${Q.indicesGet("indices",K)}) - ${B("uniforms.pads",K,G)};
                if (k < 0)  {
                  k += i32(${B("uniforms.x_shape",K,J)}]);
                }
                if (k >= i32(${B("uniforms.x_shape",K,J)})) {
                  k -= i32(${B("uniforms.x_shape",K,J)});
                }
                offset += k * i32(${B("uniforms.x_strides",K,J)});
            `;return`
              var offset = 0;
              var k = 0;
              ${H}
              value = x[offset];
          `},rA=(Q,J,G)=>{switch(G.mode){case 0:return Y$(Q,J,G.pads.length);case 1:return eA(Q,J,G.pads.length);case 2:return tA(Q,J,G.pads.length);case 3:return nA(Q,J,G.pads.length);default:throw Error("Invalid mode")}},oA=(Q,J)=>{let G=S.padShape(Q[0].dims.slice(),J.pads),H=Q[0].dims,K=S.size(G),z=[{type:12,data:K},{type:6,data:J.pads}],q=Q.length>=3&&Q[2].data;J.mode===0&&z.push({type:q?Q[2].dataType:1,data:J.value}),z.push(...k(Q[0].dims,G));let F=["rank"],D=(V)=>{let O=C("output",Q[0].dataType,G.length),P=A("x",Q[0].dataType,H.length),N=P.type.value,I=rA(O,H.length,J),R=[{name:"output_size",type:"u32"},{name:"pads",type:"i32",length:J.pads.length}];return J.mode===0&&R.push({name:"constant_value",type:q?N:"f32"}),`
            ${V.registerUniforms(R).declareVariables(P,O)}
            ${V.mainStart()}
            ${V.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}

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

            var value = ${N}(0);
            ${I}
            output[global_idx] = value;
        }`};return{name:"Pad",shaderCache:{hint:`${J.mode}${q}`,inputDependencies:F},getRunData:()=>({outputs:[{dims:G,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(S.size(G)/64)},programUniforms:z}),getShaderSource:D}},iA=(Q,J)=>{if(Q.length>1){let G=Q[1].getBigInt64Array(),H=Q.length>=3&&Q[2].data?Q[2].dataType===10?Q[2].getUint16Array()[0]:Q[2].getFloat32Array()[0]:0,K=Q[0].dims.length,z=new Int32Array(2*K).fill(0);if(Q.length>=4){let F=Q[3].getBigInt64Array();for(let D=0;D<F.length;D++)z[Number(F[D])]=Number(G[D]),z[Number(F[D])+K]=Number(G[D+F.length])}else G.forEach((F,D)=>z[Number(D)]=Number(F));let q=[];return z.forEach((F)=>q.push(F)),{mode:J.mode,value:H,pads:q}}else return J},f_=(Q,J)=>{Q$(Q.inputs);let G=iA(Q.inputs,J);Q.compute(oA(Q.inputs,G),{inputs:[0]})}}),ea,m_,g_,b_,y_,aA,sA,__,x_,w_,T_,v_,I_,S_,$_,A_,P_,O_,E_,C_=$(()=>{qe(),X(),ee(),ne(),ea=(Q)=>{if(Y.webgpu.validateInputContent&&(!Q||Q.length!==1))throw Error("Pool ops requires 1 input.")},m_=(Q,J,G)=>{let H=J.format==="NHWC",K=Q.dims.slice();H&&K.splice(1,0,K.pop());let z=Object.hasOwnProperty.call(J,"dilations"),q=J.kernelShape.slice(),F=J.strides.slice(),D=z?J.dilations.slice():[],V=J.pads.slice();sr.adjustPoolAttributes(G,K,q,F,D,V);let O=sr.computePoolOutputShape(G,K,F,D,q,V,J.autoPad),P=Object.assign({},J);z?Object.assign(P,{kernelShape:q,strides:F,pads:V,dilations:D,cacheKey:J.cacheKey}):Object.assign(P,{kernelShape:q,strides:F,pads:V,cacheKey:J.cacheKey});let N=O.slice();return N.push(N.splice(1,1)[0]),[P,H?N:O]},g_=(Q,J)=>{let G=J.format==="NHWC",H=S.size(Q),K=S.size(J.kernelShape),z=[{type:12,data:H},{type:12,data:K}],q=[{name:"outputSize",type:"u32"},{name:"kernelSize",type:"u32"}];if(J.kernelShape.length<=2){let F=J.kernelShape[J.kernelShape.length-1],D=J.strides[J.strides.length-1],V=J.pads[J.pads.length/2-1],O=J.pads[J.pads.length-1],P=!!(V+O);z.push({type:12,data:F},{type:12,data:D},{type:12,data:V},{type:12,data:O}),q.push({name:"kw",type:"u32"},{name:"sw",type:"u32"},{name:"pwStart",type:"u32"},{name:"pwEnd",type:"u32"});let N=!1;if(J.kernelShape.length===2){let I=J.kernelShape[J.kernelShape.length-2],R=J.strides[J.strides.length-2],w=J.pads[J.pads.length/2-2],E=J.pads[J.pads.length-2];N=!!(w+E),z.push({type:12,data:I},{type:12,data:R},{type:12,data:w},{type:12,data:E}),q.push({name:"kh",type:"u32"},{name:"sh",type:"u32"},{name:"phStart",type:"u32"},{name:"phEnd",type:"u32"})}return[z,q,!0,P,N]}else{if(G)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let F=S.computeStrides(J.kernelShape);z.push({type:12,data:F},{type:12,data:J.pads},{type:12,data:J.strides}),q.push({name:"kernelStrides",type:"u32",length:F.length},{name:"pads",type:"u32",length:J.pads.length},{name:"strides",type:"u32",length:J.strides.length});let D=J.pads.reduce((V,O)=>V+O);return[z,q,!!D,!1,!1]}},b_=(Q,J,G,H,K,z,q,F,D,V,O,P)=>{let N=K.format==="NHWC",I=J.type.value,R=C("output",J.type.tensor,H);if(K.kernelShape.length<=2){let w="",E="",T="",y=G-(N?2:1);if(O?w=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i;
                  if (xIndices[${y}] < 0 || xIndices[${y}]
                      >= uniforms.x_shape[${y}]) {
                    pad++;
                    continue;
                  }
                  let x_val = x[${J.indicesToOffset("xIndices")}];
                  ${z}
                }`:w=`
                for (var i: u32 = 0u; i < uniforms.kw; i++) {
                  xIndices[${y}] = indices[${y}] * uniforms.sw - uniforms.pwStart + i;
                  let x_val = x[${J.indicesToOffset("xIndices")}];
                  ${z}
                }`,K.kernelShape.length===2){let x=G-(N?3:2);P?E=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${x}] = indices[${x}] * uniforms.sh - uniforms.phStart + j;
                  if (xIndices[${x}] < 0 || xIndices[${x}] >= uniforms.x_shape[${x}]) {
                    pad += i32(uniforms.kw);
                    continue;
                  }
              `:E=`
                for (var j: u32 = 0u; j < uniforms.kh; j++) {
                  xIndices[${x}] = indices[${x}] * uniforms.sh - uniforms.phStart + j;
                `,T=`
              }
            `}return`
            ${Q.registerUniforms(D).declareVariables(J,R)}

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

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

              var value = ${I}(${F});
              var pad = 0;
              ${E}
              ${w}
              ${T}
              ${q}

              output[global_idx] = value;
            }`}else{if(N)throw Error("Pooling with kernelShape.length > 2 is not supported for NHWC format.");let w=K.kernelShape.length,E=K.pads.length,T="";return V?T=`
                if (xIndices[j] >= uniforms.x_shape[j]) {
                  pad++;
                  isPad = true;
                  break;
                }
              }
              if (!isPad) {
                let x_val = x[${J.indicesToOffset("xIndices")}];
                ${z}
              }`:T=`
              }
              let x_val = x[${J.indicesToOffset("xIndices")}];
              ${z}
            `,`
            ${Q.registerUniforms(D).declareVariables(J,R)}

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

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

              var value = ${I}(${F});
              var pad = 0;
              var isPad = false;

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

                isPad = false;
                for (var j = ${G-w}u; j < ${G}u; j++) {
                  xIndices[j] = indices[j] * ${B("uniforms.strides",`j - ${G-w}u`,w)}
                    + offsets[j - ${G-w}u] - ${B("uniforms.pads","j - 2u",E)};
                  ${T}
              }
              ${q}

              output[global_idx] = value;
            }`}},y_=(Q)=>`${Q.format};${Q.ceilMode};${Q.autoPad};${Q.kernelShape.length}`,aA=(Q)=>`${y_(Q)};${Q.countIncludePad}`,sA=(Q)=>`${y_(Q)};${Q.storageOrder};${Q.dilations}`,__=(Q)=>({format:Q.format,autoPad:["NOTSET","VALID","SAME_UPPER","SAME_LOWER"][Q.auto_pad],ceilMode:Q.ceil_mode,kernelShape:Q.kernel_shape,strides:Q.strides,pads:Q.pads}),x_=(Q,J,G,H)=>{let[K,z]=m_(J,H,G),q=A("x",J.dataType,J.dims.length),F=q.type.value,D="value += x_val;",V="";K.countIncludePad?V+=`value /= ${F}(uniforms.kernelSize);`:V+=`value /= ${F}(i32(uniforms.kernelSize) - pad);`;let[O,P,N,I,R]=g_(z,K);O.push(...k(J.dims,z));let w=["rank"];return{name:Q,shaderCache:{hint:`${H.cacheKey};${N};${I};${R}`,inputDependencies:w},getRunData:()=>({outputs:[{dims:z,dataType:J.dataType}],dispatchGroup:{x:Math.ceil(S.size(z)/64)},programUniforms:O}),getShaderSource:(E)=>b_(E,q,J.dims.length,z.length,K,D,V,0,P,N,I,R)}},w_=(Q)=>{let J=Q.count_include_pad!==0,G=__(Q);if(G.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for AveragePool");let H={countIncludePad:J,...G,cacheKey:""};return{...H,cacheKey:aA(H)}},T_=(Q,J)=>{ea(Q.inputs),Q.compute(x_("AveragePool",Q.inputs[0],!1,J))},v_={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[]},I_=(Q)=>{let J=Q.format;return{format:J,...v_,cacheKey:J}},S_=(Q,J)=>{ea(Q.inputs),Q.compute(x_("GlobalAveragePool",Q.inputs[0],!0,J))},$_=(Q,J,G,H)=>{let[K,z]=m_(J,H,G),q=`
      value = max(x_val, value);
    `,F="",D=A("x",J.dataType,J.dims.length),V=["rank"],[O,P,N,I,R]=g_(z,K);return O.push(...k(J.dims,z)),{name:Q,shaderCache:{hint:`${H.cacheKey};${N};${I};${R}`,inputDependencies:V},getRunData:()=>({outputs:[{dims:z,dataType:J.dataType}],dispatchGroup:{x:Math.ceil(S.size(z)/64)},programUniforms:O}),getShaderSource:(w)=>b_(w,D,J.dims.length,z.length,K,q,F,J.dataType===10?-65504:-1e5,P,N,I,R)}},A_=(Q,J)=>{ea(Q.inputs),Q.compute($_("MaxPool",Q.inputs[0],!1,J))},P_=(Q)=>{let{storage_order:J,dilations:G}=Q,H=__(Q);if(J!==0)throw Error("column major storage order is not yet supported for MaxPool");if(H.ceilMode!==0)throw Error("using ceil() in shape computation is not yet supported for MaxPool");let K={storageOrder:J,dilations:G,...H,cacheKey:""};return{...K,cacheKey:sA(K)}},O_=(Q)=>{let J=Q.format;return{format:J,...v_,cacheKey:J}},E_=(Q,J)=>{ea(Q.inputs),Q.compute($_("GlobalMaxPool",Q.inputs[0],!0,J))}}),lA,cA,D_,k_,L_=$(()=>{X(),ee(),ke(),ne(),lA=(Q,J)=>{if(Q.length<2||Q.length>3)throw Error("DequantizeLinear requires 2 or 3 inputs.");if(Q.length===3&&Q[1].dims===Q[2].dims)throw Error("x-scale and x-zero-point must have the same shape.");if(Q.length===3&&Q[0].dataType!==Q[2].dataType)throw Error("x and x-zero-point must have the same data type.");if(Q[1].dims.length!==0&&Q[1].dims.length!==1&&Q[1].dims.length!==Q[0].dims.length)throw Error("scale input must be a scalar, a 1D tensor, or have the same rank as the input tensor.");if(Q.length>2){if(Q[0].dataType!==Q[2].dataType)throw Error("x and x-zero-point must have the same data type.");if(Q[1].dims.length!==Q[2].dims.length)throw Error("scale and zero-point inputs must have the same rank.");if(!Q[1].dims.map((G,H)=>G===Q[2].dims[H]).reduce((G,H)=>G&&H,!0))throw Error("scale and zero-point inputs must have the same shape.")}if(J.blockSize>0){if(Q[1].dims.length===0||Q[1].dims.length===1&&Q[1].dims[0]===1)throw Error("blockSize must be set only for block quantization.");if(!Q[1].dims.map((K,z)=>z===J.axis||K===Q[0].dims[z]).reduce((K,z)=>K&&z,!0))throw Error("For block qunatization, scale input shape to match the input shape except for the axis");if(Q[1].dims.length!==Q[0].dims.length)throw Error("For block qunatization the scale input rank must be the same as the x rank.");let G=Q[0].dims[J.axis],H=Q[1].dims[J.axis];if(J.blockSize<Math.ceil(G/H)||J.blockSize>Math.ceil(G/(H-1)-1))throw Error("blockSize must be with in the range [ceil(dI / Si), ceil(dI / (Si - 1) - 1)].")}},cA=(Q,J)=>{let G=S.normalizeAxis(J.axis,Q[0].dims.length),H=Q[0].dataType,K=H===3,z=Q[0].dims,q=Q[1].dataType,F=S.size(z),D=H===3||H===2,V=D?[Math.ceil(S.size(Q[0].dims)/4)]:Q[0].dims,O=Q[1].dims,P=Q.length>2?Q[2]:void 0,N=P?D?[Math.ceil(S.size(P.dims)/4)]:P.dims:void 0,I=O.length===0||O.length===1&&O[0]===1,R=I===!1&&O.length===1,w=he(F),E=I&&(!D||w===4),T=E?w:1,y=E&&!D?w:1,x=A("input",D?12:H,V.length,y),b=A("scale",q,O.length),g=P?A("zero_point",D?12:H,N.length):void 0,l=C("output",q,z.length,T),_=[x,b];g&&_.push(g);let a=[V,O];P&&a.push(N);let r=[{type:12,data:F/T},{type:12,data:G},{type:12,data:J.blockSize},...k(...a,z)],f0=(t)=>{let p0=[{name:"output_size",type:"u32"},{name:"axis",type:"u32"},{name:"block_size",type:"u32"}];return`
      ${t.registerUniforms(p0).declareVariables(..._,l)}
      ${t.mainStart()}
          ${t.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
          let output_indices = ${l.offsetToIndices("global_idx")};

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

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

          // Set zero-point input
          ${g?I?D?`
                let zero_point_input = ${g.getByOffset("0")};
                let zero_point_vec =  ${K?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value= zero_point_vec[0]`:`let zero_point_value = ${g.getByOffset("0")}`:R?D?`
                let zero_point_index = ${l.indicesGet("output_indices","uniforms.axis")};
                let zero_point_input = ${g.getByOffset("zero_point_index / 4")};
                let zero_point_vec =  ${K?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_index % 4]`:`
                let zero_point_index = ${l.indicesGet("output_indices","uniforms.axis")};
                let zero_point_value = ${g.getByOffset("zero_point_index")};`:D?`
                let zero_point_offset = ${b.indicesToOffset("scale_indices")};
                let zero_point_input = ${g.getByOffset("zero_point_offset / 4")};
                let zero_point_vec = ${K?"unpack4xI8(zero_point_input)":"unpack4xU8(zero_point_input)"};
                let zero_point_value = zero_point_vec[zero_point_offset % 4];`:`let zero_point_value = ${g.getByIndices("scale_indices")};`:`let zero_point_value = ${D?K?"i32":"u32":x.type.value}(0);`};
      // Compute and write output
      ${l.setByOffset("global_idx",`${l.type.value}(x_value - zero_point_value) * scale_value`)};
      }`};return{name:"DequantizeLinear",shaderCache:{hint:J.cacheKey,inputDependencies:g?["rank","rank","rank"]:["rank","rank"]},getShaderSource:f0,getRunData:()=>({outputs:[{dims:z,dataType:q}],dispatchGroup:{x:Math.ceil(F/T/64),y:1,z:1},programUniforms:r})}},D_=(Q,J)=>{lA(Q.inputs,J),Q.compute(cA(Q.inputs,J))},k_=(Q)=>Z({axis:Q.axis,blockSize:Q.blockSize})}),dA,pA,R_,N_=$(()=>{qe(),X(),ne(),dA=(Q,J,G)=>{let H=Q===J,K=Q<J&&G<0,z=Q>J&&G>0;if(H||K||z)throw Error("Range these inputs' contents are invalid.")},pA=(Q,J,G,H)=>{let K=Math.abs(Math.ceil((J-Q)/G)),z=[K],q=K,F=[{type:12,data:q},{type:H,data:Q},{type:H,data:G},...k(z)],D=(V)=>{let O=C("output",H,z.length),P=O.type.value,N=[{name:"outputSize",type:"u32"},{name:"start",type:P},{name:"delta",type:P}];return`
        ${V.registerUniforms(N).declareVariables(O)}
        ${V.mainStart()}
        ${V.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
        output[global_idx] = uniforms.start + ${P}(global_idx) * uniforms.delta;
      }`};return{name:"Range",shaderCache:{hint:`${H}`},getShaderSource:D,getRunData:()=>({outputs:[{dims:z,dataType:H}],dispatchGroup:{x:Math.ceil(q/64)},programUniforms:F})}},R_=(Q)=>{let J=0,G=0,H=0;Q.inputs[0].dataType===6?(J=Q.inputs[0].getInt32Array()[0],G=Q.inputs[1].getInt32Array()[0],H=Q.inputs[2].getInt32Array()[0]):Q.inputs[0].dataType===1&&(J=Q.inputs[0].getFloat32Array()[0],G=Q.inputs[1].getFloat32Array()[0],H=Q.inputs[2].getFloat32Array()[0]),Y.webgpu.validateInputContent&&dA(J,G,H),Q.compute(pA(J,G,H,Q.inputs[0].dataType),{inputs:[]})}}),fA,hA,z_,M_,B_=$(()=>{X(),ee(),ke(),ne(),fA=(Q,J,G,H)=>{if(Q!=="none"&&H!=="i32"&&H!=="u32"&&H!=="f32")throw Error(`Input ${H} is not supported with reduction ${Q}.`);let K=`{
                var oldValue = 0;
                loop {
                  let newValueF32 =`,z=`;
                  let newValue = bitcast<i32>(newValueF32);
                  let res = atomicCompareExchangeWeak(&${J}, oldValue, newValue);
                  if res.exchanged {
                    break;
                  }
                  oldValue = res.old_value;
                }
              }`;switch(Q){case"none":return`${J}=${G};`;case"add":return H==="i32"||H==="u32"?`atomicAdd(&${J}, bitcast<${H}>(${G}));`:`
              ${K}bitcast<${H}>(oldValue) + (${G})${z}`;case"max":return H==="i32"||H==="u32"?`atomicMax(&${J}, bitcast<${H}>(${G}));`:`
                ${K}max(bitcast<f32>(oldValue), (${G}))${z}`;case"min":return H==="i32"||H==="u32"?`atomicMin(&${J}, bitcast<${H}>(${G}));`:`${K}min(bitcast<${H}>(oldValue), (${G}))${z}`;case"mul":return`${K}(bitcast<${H}>(oldValue) * (${G}))${z}`;default:throw Error(`Reduction ${Q} is not supported.`)}},hA=(Q,J)=>{let G=Q[0].dims,H=Q[1].dims,K=G,z=1,q=Math.ceil(S.sizeToDimension(H,H.length-1)/z),F=H[H.length-1],D=S.sizeFromDimension(G,F),V=[{type:12,data:q},{type:12,data:F},{type:12,data:D},...k(Q[1].dims,Q[2].dims,K)],O=(P)=>{let N=A("indices",Q[1].dataType,Q[1].dims.length),I=A("updates",Q[2].dataType,Q[2].dims.length,z),R=J.reduction!=="none"&&J.reduction!==""?dg("output",Q[0].dataType,K.length):C("output",Q[0].dataType,K.length,z);return`
      ${P.registerUniform("output_size","u32").registerUniform("last_index_dimension","u32").registerUniform("num_updates_elements","u32").declareVariables(N,I,R)}
      ${P.mainStart()}
        ${P.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);
    ${Q[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];`}
    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];
    ${fA(J.reduction,"output[data_offset + i]","value",R.type.value)}
  }

      }`};return{name:"ScatterND",shaderCache:{hint:`${J.cacheKey}_${J.reduction}`,inputDependencies:["rank","rank"]},getRunData:()=>({outputs:[{dims:K,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(q/64)},programUniforms:V}),getShaderSource:O}},z_=(Q)=>Z({reduction:Q.reduction}),M_=(Q,J)=>{Q.compute(hA(Q.inputs,J),{inputs:[Q.inputs[1],Q.inputs[2]],outputs:[]})}}),mA,gA,bA,F_,yA,_A,xA,wA,TA,vA,IA,SA,V_,$A,AA,PA,OA,EA,G_,U_,W_=$(()=>{X(),ee(),ke(),ne(),mA=(Q,J)=>{if(Q.every((G)=>G>0||(()=>{throw Error("Resize requires scales input values to be positive")})),Q.length>0){if(J.mode==="linear"){if(!(Q.length===2||Q.length===3||Q.length===4&&Q[0]===1&&Q[1]===1||Q.length===4&&Q[0]===1&&Q[3]===1||Q.length===5&&Q[0]===1&&Q[1]===1))throw 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(J.mode==="cubic"&&!(Q.length===2||Q.length===4&&Q[0]===1&&Q[1]===1||Q.length===4&&Q[0]===1&&Q[3]===1))throw Error("Resize requires scales input size to be 2 or 4 for cubic mode")}},gA=(Q,J,G)=>{J.every((K)=>K>=0&&K<G||(()=>{throw Error("Resize requires axes input values to be positive and less than rank")}));let H=Array(G).fill(1);return J.forEach((K,z)=>H[K]=Q[z]),H},bA=(Q,J,G,H,K,z)=>{let[q,F,D]=G>10?[1,2,3]:[-1,Q.length>1?1:-1,-1],V=Q[0].dims.length;if(q>0&&Q.length>q&&Q[q].dims.length>0)Q[q].getFloat32Array().forEach((O)=>z.push(O));else if(J.coordinateTransformMode==="tf_crop_and_resize")throw Error("Resize requires RoI input to be specified when coordinateTransformMode is tfCropAndResize");if(F>0&&Q.length>F&&Q[F].dims.length===1&&Q[F].dims[0]>0){if(Q[F].getFloat32Array().forEach((O)=>H.push(O)),H.length!==0&&H.length!==V&&G>=18&&H.length!==J.axes.length)throw Error("Resize requires scales input size to be same as input rank or axes size for opset 18 and up");mA(H,J),J.axes.length>0&&gA(H,J.axes,V).forEach((O,P)=>H[P]=O)}if(D>0&&Q.length>D&&Q[D].dims.length===1&&Q[D].dims[0]>0&&(Q[D].getBigInt64Array().forEach((O)=>K.push(Number(O))),K.length!==0&&K.length!==V&&G>=18&&K.length!==J.axes.length))throw Error("Resize requires sizes input size to be same as input rank or axes size for opset 18 and up");if(J.axes.length>0){if(H.length!==0&&H.length!==J.axes.length)throw Error('Resize requires "scales" input size to be of axes rank when axes attributes is specified');if(K.length!==0&&K.length!==J.axes.length)throw Error('Resize requires "sizes" input size to be of rank axes rank when axes attributes is specified')}if(typeof H<"u"&&typeof K<"u"&&H.length>0&&K.length>V)throw Error("Resize requires only of scales or sizes to be specified")},F_=(Q,J,G,H)=>`
  // The whole part and the fractional part are calculated separately due to inaccuracy of floating
  // point division. As an example, f32(21) / f32(7) may evaluate to 2.99... instead of 3, causing an
  // offset-by-one error later in floor().
  let big = (${Q}) * (${J});
  let whole = ${H}(big / (${G}));
  let fract = ${H}(big % (${G})) / ${H}(${G});
  return whole + fract;
`,yA=(Q,J)=>`fn getOriginalCoordinateFromResizedCoordinate(xResized: u32, xScale: f32, lengthResized: u32,
     lengthOriginal: u32, roiStart: f32, roiEnd: f32) -> ${J} { `+(()=>{switch(Q){case"asymmetric":return`
          if (xScale < 1.0 || floor(xScale) != xScale) {
            return ${J}(xResized) / ${J}(xScale);
          } else {
            ${F_("xResized","lengthOriginal","lengthResized",J)}
          }
        `;case"pytorch_half_pixel":return`if (lengthResized > 1) {
                    return (${J}(xResized) + 0.5) / ${J}(xScale) - 0.5;
                  } else {
                    return 0.0;
                  }`;case"tf_half_pixel_for_nn":return`return (${J}(xResized) + 0.5) / ${J}(xScale);`;case"align_corners":return`if (lengthResized == 1) {
                    return 0.0;
                  } else {
                    ${F_("xResized","lengthOriginal - 1","lengthResized - 1",J)}
                  }`;case"tf_crop_and_resize":return`if (lengthResized > 1) {
                    return ${J}(roiStart) * ${J}(lengthOriginal - 1) +
                        (${J}(xResized) * ${J}(roiEnd - roiStart) * ${J}(lengthOriginal - 1)) /
                        ${J}(lengthResized - 1);
                  } else {
                    return 0.5 * ${J}(roiStart + roiEnd) * ${J}(lengthOriginal - 1);
                  }`;case"half_pixel_symmetric":return`const outputWidth = ${J}xScale * ${J}(lengthResized);
                  const adjustment = ${J}(lengthResized) / outputWidth;
                  const center = ${J}(lengthOriginal) / 2;
                  const offset = center * (1 - adjustment);
                  return offset + ((${J}(xResized) + 0.5) / ${J}(xScale)) - 0.5;`;case"half_pixel":return`return ((${J}(xResized) + 0.5) / ${J}(xScale)) - 0.5;`;default:throw Error(`Coordinate transform mode ${Q} is not supported`)}})()+"}",_A=(Q,J,G)=>`fn getNearestPixelFromOriginal(xOriginal: ${G}, isDownSample: bool) -> ${G} {`+(()=>{switch(Q){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(J<11)return"if (isDownSample)                     {                       return ceil(xOriginal);                     } else {                       return xOriginal;                     }";throw Error(`Nearest mode ${Q} is not supported`)}})()+"}",xA=(Q,J,G)=>{let H=Array(G).fill(0).concat(Array(G).fill(1)),K=Q.length===0?H:Q.slice();return J.length>0?(J.forEach((z,q)=>{H[z]=K[q],H[q+G]=K[J.length+q]}),H):K},wA=(Q,J,G,H)=>{let K=[];if(G.length>0)if(H.length>0){if(Q.forEach((z)=>K.push(z)),Math.max(...H)>Q.length)throw Error("axes is out of bound");H.forEach((z,q)=>K[z]=G[q])}else G.forEach((z)=>K.push(z));else{if(J.length===0)throw Error("Resize requires either scales or sizes.");K=Q.map((z,q)=>Math.round(z*J[q]))}return K},TA=(Q,J,G)=>{let H=(()=>{switch(G.keepAspectRatioPolicy){case"not_larger":return G.axes.length>0?Math.min(...G.axes.map((z)=>J[z]),Number.MAX_VALUE):Math.min(...J,Number.MAX_VALUE);case"not_smaller":return G.axes.length>0?Math.max(...G.axes.map((z)=>J[z]),Number.MIN_VALUE):Math.max(...J,Number.MIN_VALUE);default:throw Error(`Keep aspect ratio policy ${G.keepAspectRatioPolicy} is not supported`)}})();J.fill(1,0,J.length);let K=Q.slice();return G.axes.length>0?(G.axes.forEach((z)=>J[z]=H),G.axes.forEach((z)=>K[z]=Math.round(Q[z]*J[z]))):(J.fill(H,0,J.length),K.forEach((z,q)=>K[q]=Math.round(z*J[q]))),K},vA=(Q,J,G,H,K)=>`
    fn calculateOriginalIndicesFromOutputIndices(output_indices: ${Q.type.indices}) -> array<${Q.type.value}, ${G.length}> {
      var original_indices: array<${Q.type.value}, ${G.length}>;
      for (var i:u32 = 0; i < ${G.length}; i++) {
        var output_index = ${Q.indicesGet("output_indices","i")};
        var scale = ${B("uniforms.scales","i",H)};
        var roi_low = ${B("uniforms.roi","i",K)};
        var roi_hi = ${B("uniforms.roi",`i + ${J.length}`,K)};
        if (scale == 1.0) {
          original_indices[i] = ${Q.type.value}(output_index);
        } else {
          var input_shape_i = ${B("uniforms.input_shape","i",J.length)};
          var output_shape_i = ${B("uniforms.output_shape","i",G.length)};
          original_indices[i] = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                           input_shape_i, roi_low, roi_hi);
        }
      }
      return original_indices;
    }`,IA=(Q,J,G,H,K,z,q)=>`
    fn calculateInputIndicesFromOutputIndices(output_indices: ${J.type.indices}) -> ${Q.type.indices} {
      var input_indices: ${Q.type.indices};
      for (var i:u32 = 0; i < ${H.length}; i++) {
        var output_index = ${J.indicesGet("output_indices","i")};
        var input_index: u32;
        var scale = ${B("uniforms.scales","i",K)};
        if (scale == 1.0) {
          input_index = output_index;
        } else {
          var roi_low = ${B("uniforms.roi","i",z)};
          var roi_hi = ${B("uniforms.roi",`i + ${G.length}`,z)};
          var input_shape_i = ${B("uniforms.input_shape","i",G.length)};
          var output_shape_i = ${B("uniforms.output_shape","i",H.length)};
          var original_idx = getOriginalCoordinateFromResizedCoordinate(output_index, scale, output_shape_i,
                                                                        input_shape_i, roi_low, roi_hi);
          if (!${q} || (original_idx >= 0 && original_idx < ${J.type.value}(input_shape_i))) {
            if (original_idx < 0) {
              input_index = 0;
            } else if (original_idx > ${J.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);
          }
        }
        ${Q.indicesSet("input_indices","i","input_index")}
      }
      return input_indices;
    }`,SA=(Q,J)=>`
    fn checkInputIndices(input_indices: ${Q.type.indices}) -> bool {
      for (var i:u32 = 0; i < ${J.length}; i++) {
        var input_index = ${Q.indicesGet("input_indices","i")};
        if (input_index < 0 || input_index >= ${B("uniforms.input_shape","i",J.length)}) {
          return false;
        }
      }
      return true;
    }`,V_=(Q,J,G,H)=>Q.rank>H?`
    ${Q.indicesSet("input_indices",J,"channel")};
    ${Q.indicesSet("input_indices",G,"batch")};
`:"",$A=(Q,J,G,H,K)=>{let[z,q,F,D]=G.length===2?[-1,0,1,-1]:[0,2,3,1],V=Q.type.value;return`
    fn getInputValue(batch: u32, channel: u32, row: u32, col: u32) -> ${V} {
      var input_indices: ${Q.type.indices};
      ${Q.indicesSet("input_indices",q,`max(0, min(row, ${G[q]} - 1))`)};
      ${Q.indicesSet("input_indices",F,`max(0, min(col, ${G[F]} - 1))`)};
      ${V_(Q,D,z,2)}
      return ${Q.getByIndices("input_indices")};
    }

    fn bilinearInterpolation(output_indices: ${J.type.indices}) -> ${V} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var row:${V} = originalIndices[${q}];
      var col:${V} = originalIndices[${F}];
      ${H?`if (row < 0 || row > (${G[q]} - 1) || col < 0 || col > (${G[F]} - 1)) {
        return ${K};
      }`:""};
      row = max(0, min(row, ${G[q]} - 1));
      col = max(0, min(col, ${G[F]} - 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 = ${G.length>2?`u32(originalIndices[${D}])`:"0"};
      var batch: u32 =  ${G.length>2?`u32(originalIndices[${z}])`:"0"};
      var x11: ${V} = getInputValue(batch, channel, row1, col1);
      var x12: ${V} = getInputValue(batch, channel, row1, col2);
      var x21: ${V} = getInputValue(batch, channel, row2, col1);
      var x22: ${V} = getInputValue(batch, channel, row2, col2);
      var dx1: ${V} = abs(row - ${V}(row1));
      var dx2: ${V} = abs(${V}(row2) - row);
      var dy1: ${V} = abs(col - ${V}(col1));
      var dy2: ${V} = abs(${V}(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);
    }`},AA=(Q,J,G,H,K,z,q,F,D,V)=>{let O=G.length===2,P=!0,[N,I]=O?[0,1]:P?[2,3]:[1,2],R=Q.type.value,w=(E)=>{let T=E===N?"row":"col";return`
      fn ${T}CubicInterpolation(input_indices: ${Q.type.indices}, output_indices: ${J.type.indices}) -> ${R} {
        var output_index = ${J.indicesGet("output_indices",E)};
        var originalIdx: ${R} = getOriginalCoordinateFromResizedCoordinate(output_index, ${K[E]},
        ${H[E]}, ${G[E]}, ${z[E]}, ${z[E]} + ${G.length});
        var fractOriginalIdx: ${R} = originalIdx - floor(originalIdx);
        var coefs = getCubicInterpolationCoefs(fractOriginalIdx);

        if (${F} && (originalIdx < 0 || originalIdx > (${G[E]} - 1))) {
          return ${D};
        }
        var data: array<${R}, 4> = array<${R}, 4>(0.0, 0.0, 0.0, 0.0);
        for (var i: i32 = -1; i < 3; i++) {
          var ${T}: ${R} = originalIdx + ${R}(i);
          if (${T} < 0 || ${T} >= ${G[E]}) {
            ${V?`coefs[i + 1] = 0.0;
                        continue;`:F?`return ${D};`:`${T} = max(0, min(${T}, ${G[E]} - 1));`};
          }
        var input_indices_copy: ${Q.type.indices} = input_indices;
          ${Q.indicesSet("input_indices_copy",E,`u32(${T})`)};
          data[i + 1] = ${E===N?Q.getByIndices("input_indices_copy"):"rowCubicInterpolation(input_indices_copy, output_indices)"};
        }
        return cubicInterpolation1D(data, coefs);
      }`};return`
    ${w(N)};
    ${w(I)};
  fn getCubicInterpolationCoefs(s: ${R}) -> array<${R}, 4> {
    var absS = abs(s);
    var coeffs: array<${R}, 4> = array<${R}, 4>(0.0, 0.0, 0.0, 0.0);
    var oneMinusAbsS: ${R} = 1.0 - absS;
    var twoMinusAbsS: ${R} = 2.0 - absS;
    var onePlusAbsS: ${R} = 1.0 + absS;
    coeffs[0] = ((${q} * onePlusAbsS - 5 * ${q}) * onePlusAbsS + 8 * ${q}) * onePlusAbsS - 4 * ${q};
    coeffs[1] = ((${q} + 2) * absS - (${q} + 3)) * absS * absS + 1;
    coeffs[2] = ((${q} + 2) * oneMinusAbsS - (${q} + 3)) * oneMinusAbsS * oneMinusAbsS + 1;
    coeffs[3] = ((${q} * twoMinusAbsS - 5 * ${q}) * twoMinusAbsS + 8 * ${q}) * twoMinusAbsS - 4 * ${q};
    return coeffs;
  }

  fn cubicInterpolation1D(x: array<${R}, 4>, coefs: array<${R}, 4>) -> ${R} {
    var coefsSum: ${R} = 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: ${J.type.indices}) -> ${R} {
    var input_indices: ${Q.type.indices} = output_indices;
    return colCubicInterpolation(input_indices, output_indices);
  }
    `},PA=(Q,J,G,H,K)=>{let[z,q,F,D,V]=G.length===3?[-1,0,1,2,-1]:[0,2,3,4,1],O=Q.type.value;return`
    fn getInputValue(batch: u32, channel: u32, depth:u32, height: u32, width: u32) -> ${O} {
      var input_indices: ${Q.type.indices};
      ${Q.indicesSet("input_indices",q,`max(0, min(depth, ${G[q]} - 1))`)};
      ${Q.indicesSet("input_indices",F,`max(0, min(height, ${G[F]} - 1))`)};
      ${Q.indicesSet("input_indices",D,`max(0, min(width, ${G[D]} - 1))`)};
      ${V_(Q,V,z,3)}
      return ${Q.getByIndices("input_indices")};
    }

    fn trilinearInterpolation(output_indices: ${J.type.indices}) -> ${O} {
      var originalIndices = calculateOriginalIndicesFromOutputIndices(output_indices);
      var depth:${O} = originalIndices[${q}];
      var height:${O} = originalIndices[${F}];
      var width:${O} = originalIndices[${D}];
      ${H?`if (depth < 0 || depth > (${G[q]} - 1) || height < 0 || height > (${G[F]} - 1) || width < 0 || (width > ${G[D]} - 1)) {
      return ${K};
        }`:""};

    depth = max(0, min(depth, ${G[q]} - 1));
      height = max(0, min(height, ${G[F]} - 1));
      width = max(0, min(width, ${G[D]} - 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 = ${G.length>3?`u32(originalIndices[${V}])`:"0"};
      var batch: u32 =  ${G.length>3?`u32(originalIndices[${z}])`:"0"};

      var x111: ${O} = getInputValue(batch, channel, depth1, height1, width1);
      var x112: ${O} = getInputValue(batch, channel, depth1, height1, width2);
      var x121: ${O} = getInputValue(batch, channel, depth1, height2, width1);
      var x122: ${O} = getInputValue(batch, channel, depth1, height2, width2);
      var x211: ${O} = getInputValue(batch, channel, depth2, height1, width1);
      var x212: ${O} = getInputValue(batch, channel, depth2, height1, width2);
      var x221: ${O} = getInputValue(batch, channel, depth2, height2, width1);
      var x222: ${O} = getInputValue(batch, channel, depth2, height2, width2);
      var dx1: ${O} = abs(depth - ${O}(depth1));
      var dx2: ${O} = abs(${O}(depth2) - depth);
      var dy1: ${O} = abs(height - ${O}(height1));
      var dy2: ${O} = abs(${O}(height2) - height);
      var dz1: ${O} = abs(width - ${O}(width1));
      var dz2: ${O} = abs(${O}(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);
    }`},OA=(Q,J,G,H,K,z)=>{let q=Q.dims,F=xA(z,J.axes,q.length),D=wA(q,H,K,J.axes),V=H.slice();H.length===0&&(V=q.map((y,x)=>y===0?1:D[x]/y),J.keepAspectRatioPolicy!=="stretch"&&(D=TA(q,V,J)));let O=C("output",Q.dataType,D.length),P=A("input",Q.dataType,q.length),N=S.size(D),I=q.length===D.length&&q.every((y,x)=>y===D[x]),R=J.coordinateTransformMode==="tf_crop_and_resize",w=J.extrapolationValue,E=P.type.value,T=(y)=>`
      ${I?"":`
      ${yA(J.coordinateTransformMode,E)};
      ${(()=>{switch(J.mode){case"nearest":return`
              ${SA(P,q)};
              ${_A(J.nearestMode,G,E)};
              ${IA(P,O,q,D,V.length,F.length,R)};
              `;case"linear":return`
              ${vA(O,q,D,V.length,F.length)};
              ${(()=>{if(q.length===2||q.length===4)return`${$A(P,O,q,R,w)}`;if(q.length===3||q.length===5)return`${PA(P,O,q,R,w)}`;throw Error("Linear mode only supports input dims 2, 3, 4 and 5 are supported in linear mode.")})()};
            `;case"cubic":return`
            ${(()=>{if(q.length===2||q.length===4)return`${AA(P,O,q,D,V,F,J.cubicCoeffA,R,J.extrapolationValue,J.excludeOutside)}`;throw Error("Cubic mode only supports input dims 2 and 4 are supported in linear mode.")})()};
            `;default:throw Error("Invalid resize mode")}})()};
      `}
      ${y.registerUniform("output_size","u32").registerUniform("scales","f32",V.length).registerUniform("roi","f32",F.length).declareVariables(P,O)}
      ${y.mainStart()}
        ${y.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
        ${I?"output[global_idx] = input[global_idx];":`
        let output_indices = ${O.offsetToIndices("global_idx")};
        var input_indices: ${P.type.indices};
        ${(()=>{switch(J.mode){case"nearest":return`input_indices = calculateInputIndicesFromOutputIndices(output_indices);
                if (checkInputIndices(input_indices)) {
                  output[global_idx] = ${P.getByIndices("input_indices")};
                } else {
                  output[global_idx] = ${J.extrapolationValue};
                }`;case"linear":return`output[global_idx] = ${q.length===2||q.length===4?"bilinearInterpolation":"trilinearInterpolation"}(output_indices);`;case"cubic":return"output[global_idx] = bicubicInterpolation(output_indices);";default:throw Error(`Unsupported resize mode: ${J.mode}`)}})()};
`}
      }`;return{name:"Resize",shaderCache:{hint:`${J.cacheKey}|${G}|${V.length>0?J.mode==="cubic"?V:V.length:""}|${K.length>0?K:""}|${F.length>0?F:""}|${I}|${J.mode==="nearest"?q.length:q}`,inputDependencies:["rank"]},getShaderSource:T,getRunData:()=>({outputs:[{dims:D,dataType:Q.dataType}],dispatchGroup:{x:Math.ceil(N/64)},programUniforms:[{type:12,data:N},{type:1,data:V},{type:1,data:F},...k(q,D)]})}},EA=(Q)=>{let J=Q.customDataBuffer;return new Uint32Array(J,J.byteOffset,1)[0]},G_=(Q,J)=>{let G=[],H=[],K=[],z=EA(Q);if(J.antialias!==0)throw Error("Only default value (0) for Antialias attribute is supported");bA(Q.inputs,J,z,G,H,K),Q.compute(OA(Q.inputs[0],J,z,G,H,K),{inputs:[0]})},U_=(Q)=>{let{antialias:J,axes:G,coordinateTransformMode:H,cubicCoeffA:K}=Q,z=Q.excludeOutside!==0,q=Q.extrapolationValue,F=Q.keepAspectRatioPolicy,D=Q.mode,V=Q.nearestMode===""?"simple":Q.nearestMode;return Z({antialias:J,axes:G,coordinateTransformMode:H,cubicCoeffA:K,excludeOutside:z,extrapolationValue:q,keepAspectRatioPolicy:F,mode:D,nearestMode:V})}}),CA,DA,H_,q_=$(()=>{X(),ee(),ne(),CA=(Q)=>{if(!Q||Q.length<3)throw Error("layerNorm requires at least 3 inputs.");let J=Q[0],G=Q[1],H=Q[2];if(J.dataType!==G.dataType||J.dataType!==H.dataType)throw Error("All inputs must have the same data type");if(J.dims.length!==3&&J.dims.length!==2)throw Error("Input must be 2D or 3D");if(G.dims.length!==3&&G.dims.length!==2)throw Error("Skip must be 2D or 3D");let K=J.dims[J.dims.length-1],z=J.dims[J.dims.length-2];if(G.dims[G.dims.length-1]!==K)throw Error("Skip must have the same hidden size as input");if(G.dims[G.dims.length-2]!==z)throw Error("Skip must have the same sequence length as input");if(H.dims.length!==1)throw Error("Gamma must be 1D");if(H.dims[H.dims.length-1]!==K)throw Error("Gamma must have the same hidden size as input");if(Q.length>3){let q=Q[3];if(q.dims.length!==1)throw Error("Beta must be 1D");if(q.dims[q.dims.length-1]!==K)throw Error("Beta must have the same hidden size as input")}if(Q.length>4){let q=Q[4];if(q.dims.length!==1)throw Error("Bias must be 1D");if(q.dims[q.dims.length-1]!==K)throw Error("Bias must have the same hidden size as input")}},DA=(Q,J,G,H)=>{let K=J.simplified,z=Q[0].dims,q=S.size(z),F=z,D=q,V=z.slice(-1)[0],O=H?z.slice(0,-1).concat(1):[],P=!K&&Q.length>3,N=Q.length>4,I=H&&G>1,R=H&&G>2,w=G>3,E=64,T=he(V),y=[{type:12,data:D},{type:12,data:T},{type:12,data:V},{type:1,data:J.epsilon}],x=(g)=>{let l=[{name:"output_size",type:"u32"},{name:"components",type:"u32"},{name:"hidden_size",type:"u32"},{name:"epsilon",type:"f32"}],_=[A("x",Q[0].dataType,Q[0].dims,T),A("skip",Q[1].dataType,Q[1].dims,T),A("gamma",Q[2].dataType,Q[2].dims,T)];P&&_.push(A("beta",Q[3].dataType,Q[3].dims,T)),N&&_.push(A("bias",Q[4].dataType,Q[4].dims,T)),_.push(C("output",Q[0].dataType,F,T)),I&&_.push(C("mean_output",1,O)),R&&_.push(C("inv_std_output",1,O)),w&&_.push(C("input_skip_bias_sum",Q[0].dataType,F,T));let a=ve(Q[0].dataType),r=ve(1,T);return`

      ${g.registerUniforms(l).declareVariables(..._)}
      var<workgroup> sum_shared : array<${r}, ${E}>;
      var<workgroup> sum_squared_shared : array<${r}, ${E}>;

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

        let hidden_size_vectorized: u32 = uniforms.hidden_size / uniforms.components;
        var stride = hidden_size_vectorized / ${E};
        let offset = ix * stride + iy * hidden_size_vectorized;
        let offset1d = stride * ix;
        if (ix == ${E-1}) {
          stride = hidden_size_vectorized - stride * ix;
        }
        for (var i: u32 = 0; i < stride; i++) {
          let skip_value = skip[offset + i];
          let bias_value = ${N?"bias[offset1d + i]":a+"(0.0)"};
          let input_value = x[offset + i];
          let value = input_value + skip_value + bias_value;
          ${w?"input_skip_bias_sum[offset + i] = value;":""}
          output[offset + i] = value;
          let f32_value = ${lr(a,T,"value")};
          sum_shared[ix] += f32_value;
          sum_squared_shared[ix] += f32_value * f32_value;
        }
        workgroupBarrier();

        var reduce_size : u32 = ${E};
        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 = ${At("sum",T)} / f32(uniforms.hidden_size);
        let inv_std_dev = inverseSqrt(${At("square_sum",T)} / f32(uniforms.hidden_size) ${K?"":"- mean * mean"} + uniforms.epsilon);
        ${I?"mean_output[global_idx] = mean;":""}
        ${R?"inv_std_output[global_idx] = inv_std_dev;":""}

        for (var i: u32 = 0; i < stride; i++) {
          output[offset + i] = (output[offset + i] ${K?"":`- ${a}(mean)`}) *
            ${a}(inv_std_dev) * gamma[offset1d + i]
            ${P?"+ beta[offset1d + i]":""};
        }
      }`},b=[{dims:F,dataType:Q[0].dataType}];return G>1&&b.push({dims:O,dataType:1}),G>2&&b.push({dims:O,dataType:1}),G>3&&b.push({dims:z,dataType:Q[0].dataType}),{name:"SkipLayerNormalization",shaderCache:{hint:`${T};${I};${R};${w}`,inputDependencies:Q.map((g,l)=>"type")},getShaderSource:x,getRunData:()=>({outputs:b,dispatchGroup:{x:Math.ceil(D/V)},programUniforms:y})}},H_=(Q,J)=>{CA(Q.inputs);let G=[0];Q.outputCount>1&&G.push(-3),Q.outputCount>2&&G.push(-3),Q.outputCount>3&&G.push(3),Q.compute(DA(Q.inputs,J,Q.outputCount,!1),{outputs:G})}}),kA,ta,LA,j_,RA,NA,K_,X_,Z_=$(()=>{X(),ee(),ke(),ne(),kA=(Q,J)=>{if(!Q||Q.length<1)throw Error("too few inputs");if(J.axes.length!==0){if(J.axes.length!==J.starts.length||J.axes.length!==J.ends.length)throw Error("axes, starts and ends must have the same length")}else if(J.starts.length!==J.ends.length)throw Error("starts and ends must have the same length");Q.slice(1).forEach((G,H)=>{if(Q[H+1].dataType!==6&&Q[H+1].dataType!==7)throw Error(`Input ${H} must be an array of int32 or int64`)})},ta=(Q,J)=>{let G=[];if(Q.length>J)if(Q[J].dataType===7)Q[J].getBigInt64Array().forEach((H)=>G.push(Number(H)));else if(Q[J].dataType===6)Q[J].getInt32Array().forEach((H)=>G.push(Number(H)));else throw Error(`Input ${J} must be an array of int32 or int64`);return G},LA=(Q,J)=>{if(Q.length>1){let G=ta(Q,1),H=ta(Q,2),K=ta(Q,3);return K.length===0&&(K=[...Array(Q[0].dims.length).keys()]),Z({starts:G,ends:H,axes:K})}else return J},j_=(Q,J,G,H,K)=>{let z=Q;return Q<0&&(z+=G[H[J]]),K[J]<0?Math.max(0,Math.min(z,G[H[J]]-1)):Math.max(0,Math.min(z,G[H[J]]))},RA=(Q,J,G)=>`fn calculateInputIndices(output_indices: ${J.type.indices}) -> ${Q.type.indices} {
          var input_indices: ${Q.type.indices};
          var carry = 0u;
          for (var i = ${G.length-1}; i >= 0; i--) {
            let input_shape_i = ${B("uniforms.input_shape","i",G.length)};
            let steps_i = ${B("uniforms.steps","i",G.length)};
            let signs_i = ${B("uniforms.signs","i",G.length)};
            let starts_i = ${B("uniforms.starts","i",G.length)};
            var output_index = ${J.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;
            }
            ${Q.indicesSet("input_indices","i","input_index")};
          }
          return input_indices;
      }`,NA=(Q,J)=>{let G=Q[0].dims,H=S.size(G),K=J.axes.length>0?S.normalizeAxes(J.axes,G.length):[...Array(G.length).keys()],z=ta(Q,4);z.forEach((T)=>T!==0||(()=>{throw Error("step cannot be 0")})),z.length===0&&(z=Array(K.length).fill(1));let q=J.starts.map((T,y)=>j_(T,y,G,K,z)),F=J.ends.map((T,y)=>j_(T,y,G,K,z));if(K.length!==q.length||K.length!==F.length)throw Error("start, ends and axes should have the same number of elements");if(K.length!==G.length)for(let T=0;T<G.length;++T)K.includes(T)||(q.splice(T,0,0),F.splice(T,0,G[T]),z.splice(T,0,1));let D=z.map((T)=>Math.sign(T));z.forEach((T,y,x)=>{if(T<0){let b=(F[y]-q[y])/T,g=q[y],l=g+b*z[y];q[y]=l,F[y]=g,x[y]=-T}});let V=G.slice(0);K.forEach((T,y)=>{V[T]=Math.ceil((F[T]-q[T])/z[T])});let O={dims:V,dataType:Q[0].dataType},P=C("output",Q[0].dataType,V.length),N=A("input",Q[0].dataType,Q[0].dims.length),I=S.size(V),R=[{name:"outputSize",type:"u32"},{name:"starts",type:"u32",length:q.length},{name:"signs",type:"i32",length:D.length},{name:"steps",type:"u32",length:z.length}],w=[{type:12,data:I},{type:12,data:q},{type:6,data:D},{type:12,data:z},...k(Q[0].dims,V)],E=(T)=>`
      ${T.registerUniforms(R).declareVariables(N,P)}
        ${RA(N,P,G)}
        ${T.mainStart()}
          ${T.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.outputSize")}
          let output_indices = ${P.offsetToIndices("global_idx")};
          let input_indices = calculateInputIndices(output_indices);
          ${P.setByOffset("global_idx",N.getByIndices("input_indices"))}
      }`;return{name:"Slice",shaderCache:{hint:`${D.length}_${q.length}_${z.length}`,inputDependencies:["rank"]},getShaderSource:E,getRunData:()=>({outputs:[O],dispatchGroup:{x:Math.ceil(H/64)},programUniforms:w})}},K_=(Q,J)=>{kA(Q.inputs,J);let G=LA(Q.inputs,J);Q.compute(NA(Q.inputs,G),{inputs:[0]})},X_=(Q)=>{let{starts:J,ends:G,axes:H}=Q;return Z({starts:J,ends:G,axes:H})}}),zA,MA,J_,Q_,Y_=$(()=>{X(),ee(),ke(),Pn(),ne(),zA=(Q)=>{if(!Q||Q.length!==1)throw Error("Softmax op requires 1 input.")},MA=(Q,J)=>{let G=Q.inputs[0],H=G.dims,K=S.size(H),z=H.length,q=S.normalizeAxis(J.axis,z),F=q<H.length-1,D,V=[];F?(V=Array.from({length:z},(_,a)=>a),V[q]=z-1,V[z-1]=q,D=Q.compute(Ge(G,V),{inputs:[G],outputs:[-1]})[0]):D=G;let O=D.dims,P=O[z-1],N=K/P,I=he(P),R=P/I,w=64;N===1&&(w=256);let E=(_,a)=>a===4?`max(max(${_}.x, ${_}.y), max(${_}.z, ${_}.w))`:a===2?`max(${_}.x, ${_}.y)`:a===3?`max(max(${_}.x, ${_}.y), ${_}.z)`:_,T=A("x",D.dataType,D.dims,I),y=C("result",D.dataType,D.dims,I),x=T.type.value,b=ve(D.dataType)==="f32"?`var threadMax = ${x}(-3.4028234663852886e+38f);`:`var threadMax = ${x}(-65504.0h);`,g=(_)=>`
      var<workgroup> rowMaxShared : ${x};
      var<workgroup> rowSumShared : ${x};
      var<workgroup> threadShared : array<${x}, ${w}>;

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

      fn setValue(row: i32, col: i32, row_stride: i32, value: ${x}) {
        let index = row * row_stride + col;
        result[index] = value;
      }
      ${_.registerUniform("packedCols","i32").declareVariables(T,y)}
      ${_.mainStart(w)}
        let gindex = i32(global_idx);
        let lindex = i32(local_idx);
        const wg = ${w};
        let row = gindex / wg;
        let cols = uniforms.packedCols;
        let row_stride : i32 = uniforms.packedCols;

        // find the rows max
        ${b}
        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 = ${x}(${E("threadShared[0]",I)});
        }
        workgroupBarrier();

        // find the rows sum
        var threadSum = ${x}(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 = ${x}(${At("threadShared[0]",I)});
        }
        workgroupBarrier();

        // calculate final value for each element in the row
        for (var col = lindex; col < cols; col += wg) {
          var value = exp(getValue(row, col, row_stride) - rowMaxShared) / rowSumShared;
          // max operation protects against NaN since all values should be >=0
          value = max(value, ${x}(0.0));
          setValue(row, col, row_stride, value);
        }
      }`,l=Q.compute({name:"Softmax",shaderCache:{hint:`${I};${w}`,inputDependencies:["type"]},getRunData:()=>({outputs:[{dims:O,dataType:D.dataType}],dispatchGroup:{x:N},programUniforms:[{type:6,data:R}]}),getShaderSource:g},{inputs:[D],outputs:[F?-1:0]})[0];F&&Q.compute(Ge(l,V),{inputs:[l]})},J_=(Q,J)=>{zA(Q.inputs),MA(Q,J)},Q_=(Q)=>Z({axis:Q.axis})}),ex,BA,FA,VA,tx,nx=$(()=>{X(),ee(),ne(),ex=(Q)=>Array.from(Q.getBigInt64Array(),Number),BA=(Q)=>{if(!Q||Q.length!==2)throw Error("Tile requires 2 inputs.");if(Q[0].dataType!==1&&Q[0].dataType!==10&&Q[0].dataType!==6&&Q[0].dataType!==12)throw Error("Tile only support float, float16, int32, and uint32 data types");if(Q[1].dataType!==7)throw Error("Tile `repeats` input should be of int64 data type");if(Q[1].dims.length!==1)throw Error("Tile `repeats` input should be 1-D");if(ex(Q[1]).length!==Q[0].dims.length)throw Error("Tile `repeats` input should have same number of elements as rank of input data tensor")},FA=(Q,J)=>{let G=[];for(let H=0;H<Q.length;++H)G.push(Q[H]*J[H]);return G},VA=(Q,J)=>{let G=Q[0].dims,H=J??ex(Q[1]),K=FA(G,H),z=S.size(K),q=Q[0].dataType,F=A("input",q,G.length),D=C("output",q,K.length),V=(O)=>`
      const inputShape = ${F.indices(...G)};
      ${O.registerUniform("output_size","u32").declareVariables(F,D)}
      ${O.mainStart()}
      ${O.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.output_size")}
      let output_indices = ${D.offsetToIndices("global_idx")};
      var input_indices: ${F.type.indices};
      for (var i = 0; i < ${G.length}; i++) {
        let input_dim_i = ${F.indicesGet("uniforms.input_shape","i")};
        let input_dim_value = ${D.indicesGet("output_indices","i")}  % input_dim_i;

        ${F.indicesSet("input_indices","i","input_dim_value")}
      }
      ${D.setByOffset("global_idx",F.getByIndices("input_indices"))}
    }`;return{name:"Tile",shaderCache:{hint:`${H}`,inputDependencies:["rank"]},getRunData:()=>({outputs:[{dims:K,dataType:Q[0].dataType}],dispatchGroup:{x:Math.ceil(z/64)},programUniforms:[{type:12,data:z},...k(Q[0].dims,K)]}),getShaderSource:V}},tx=(Q)=>{BA(Q.inputs),Q.compute(VA(Q.inputs),{inputs:[0]})}}),GA,UA,rx,ox=$(()=>{X(),ee(),ne(),GA=(Q,J,G,H,K)=>{let z=C("output_data",K,G.length,4),q=A("a_data",J[1].dataType,J[1].dims.length,4),F=A("b_data",J[2].dataType,J[2].dims.length,4),D=A("c_data",J[0].dataType,J[0].dims.length,4),V,O=(P,N,I)=>`select(${N}, ${P}, ${I})`;if(!H)V=z.setByOffset("global_idx",O(q.getByOffset("global_idx"),F.getByOffset("global_idx"),D.getByOffset("global_idx")));else{let P=(N,I,R="")=>{let w=`a_data[index_a${I}][component_a${I}]`,E=`b_data[index_b${I}][component_b${I}]`,T=`bool(c_data[index_c${I}] & (0xffu << (component_c${I} * 8)))`;return`
            let output_indices${I} = ${z.offsetToIndices(`global_idx * 4u + ${I}u`)};
            let offset_a${I} = ${q.broadcastedIndicesToOffset(`output_indices${I}`,z)};
            let offset_b${I} = ${F.broadcastedIndicesToOffset(`output_indices${I}`,z)};
            let offset_c${I} = ${D.broadcastedIndicesToOffset(`output_indices${I}`,z)};
            let index_a${I} = offset_a${I} / 4u;
            let index_b${I} = offset_b${I} / 4u;
            let index_c${I} = offset_c${I} / 4u;
            let component_a${I} = offset_a${I} % 4u;
            let component_b${I} = offset_b${I} % 4u;
            let component_c${I} = offset_c${I} % 4u;
            ${N}[${I}] = ${R}(${O(w,E,T)});
          `};K===9?V=`
            var data = vec4<u32>(0);
            ${P("data",0,"u32")}
            ${P("data",1,"u32")}
            ${P("data",2,"u32")}
            ${P("data",3,"u32")}
            output_data[global_idx] = dot(vec4<u32>(0x1, 0x100, 0x10000, 0x1000000), vec4<u32>(data));`:V=`
            ${P("output_data[global_idx]",0)}
            ${P("output_data[global_idx]",1)}
            ${P("output_data[global_idx]",2)}
            ${P("output_data[global_idx]",3)}
          `}return`
        ${Q.registerUniform("vec_size","u32").declareVariables(D,q,F,z)}
        ${Q.mainStart()}
        ${Q.guardAgainstOutOfBoundsWorkgroupSizes("uniforms.vec_size")}
        ${V}
      }`},UA=(Q)=>{let J=Q[1].dims,G=Q[2].dims,H=Q[0].dims,K=Q[1].dataType,z=!(S.areEqual(J,G)&&S.areEqual(G,H)),q=J,F=S.size(J);if(z){let V=bn.calcShape(bn.calcShape(J,G,!1),H,!1);if(!V)throw Error("Can't perform where op on the given tensors");q=V,F=S.size(q)}let D=Math.ceil(F/4);return{name:"Where",shaderCache:{inputDependencies:["rank","rank","rank"]},getShaderSource:(V)=>GA(V,Q,q,z,K),getRunData:()=>({outputs:[{dims:q,dataType:K}],dispatchGroup:{x:Math.ceil(F/64/4)},programUniforms:[{type:12,data:D},...k(H,J,G,q)]})}},rx=(Q)=>{Q.compute(UA(Q.inputs))}}),ix,ax=$(()=>{Fg(),Ui(),Ug(),Hg(),Eb(),Vb(),Wb(),ay(),fy(),gy(),_y(),Iy(),Ay(),Oy(),Dy(),Ry(),My(),Vy(),Wy(),jy(),n_(),i_(),s_(),l_(),p_(),ml(),h_(),C_(),L_(),N_(),B_(),Vi(),W_(),yl(),q_(),Z_(),Y_(),bl(),nx(),Pn(),Hi(),ox(),ix=new Map([["Abs",[qg]],["Acos",[jg]],["Acosh",[Kg]],["Add",[Cb]],["ArgMax",[Bg,nl]],["ArgMin",[Mg,nl]],["Asin",[Xg]],["Asinh",[Zg]],["Atan",[Jg]],["Atanh",[Qg]],["Attention",[Vg]],["AveragePool",[T_,w_]],["BatchNormalization",[Gg]],["BiasAdd",[Wg]],["BiasSplitGelu",[Ob]],["Cast",[eb,Yg]],["Ceil",[nb]],["Clip",[tb]],["Concat",[Gb,Ub]],["Conv",[dl,cl]],["ConvTranspose",[py,cy]],["Cos",[rb]],["Cosh",[ob]],["CumSum",[hy,my]],["DepthToSpace",[by,yy]],["DequantizeLinear",[D_,k_]],["Div",[Db]],["Einsum",[Ty,vy]],["Elu",[ib,ro]],["Equal",[kb]],["Erf",[ab]],["Exp",[sb]],["Expand",[$y]],["FastGelu",[Py]],["Floor",[ub]],["FusedConv",[dl,cl]],["Gather",[Cy,Ey]],["GatherElements",[Fy,By]],["GatherBlockQuantized",[Ny,zy]],["GatherND",[ky,Ly]],["Gelu",[lb]],["Gemm",[Uy,Gy]],["GlobalAveragePool",[S_,I_]],["GlobalMaxPool",[E_,O_]],["Greater",[zb]],["GreaterOrEqual",[Bb]],["GridSample",[Hy,qy]],["GroupQueryAttention",[t_]],["HardSigmoid",[bb,gb]],["InstanceNormalization",[o_]],["LayerNormalization",[a_]],["LeakyRelu",[cb,ro]],["Less",[Mb]],["LessOrEqual",[Fb]],["Log",[$b]],["MatMul",[u_]],["MatMulNBits",[c_,d_]],["MaxPool",[A_,P_]],["Mul",[Lb]],["MultiHeadAttention",[Zy,Xy]],["Neg",[pb]],["Not",[db]],["Pad",[f_]],["Pow",[Rb]],["QuickGelu",[Ab,ro]],["Range",[R_]],["Reciprocal",[fb]],["ReduceMin",[Dg]],["ReduceMean",[Ag]],["ReduceMax",[Cg]],["ReduceSum",[Lg]],["ReduceProd",[kg]],["ReduceL1",[Pg]],["ReduceL2",[Og]],["ReduceLogSum",[Ng]],["ReduceLogSumExp",[Eg]],["ReduceSumSquare",[Rg]],["Relu",[hb]],["Resize",[G_,U_]],["RotaryEmbedding",[Yy]],["ScatterND",[M_,z_]],["Sigmoid",[mb]],["Sin",[yb]],["Sinh",[_b]],["Slice",[K_,X_]],["SkipLayerNormalization",[H_]],["Split",[Jy,Qy]],["Sqrt",[xb]],["Softmax",[J_,Q_]],["Sub",[Nb]],["Tan",[wb]],["Tanh",[vb]],["ThresholdedRelu",[Sb,ro]],["Tile",[tx]],["Transpose",[hg,mg]],["Where",[rx]]])}),na,sx=$(()=>{qe(),gn(),ne(),na=class{constructor(Q){this.backend=Q,this.repo=new Map,this.attributesBound=!1}getArtifact(Q){return this.repo.get(Q)}setArtifact(Q,J){this.repo.set(Q,J)}run(Q,J,G,H,K){tt(Q.programInfo.name);let z=this.backend.device,q=this.backend.getComputePassEncoder();this.backend.writeTimestamp(this.backend.pendingDispatchNumber*2);let F=[];for(let V of J)F.push({binding:F.length,resource:{buffer:V.buffer}});for(let V of G)F.push({binding:F.length,resource:{buffer:V.buffer}});K&&F.push({binding:F.length,resource:K});let D=z.createBindGroup({layout:Q.computePipeline.getBindGroupLayout(0),entries:F,label:Q.programInfo.name});if(this.backend.sessionStatus==="capturing"){let V={kernelId:this.backend.currentKernelId,computePipeline:Q.computePipeline,bindGroup:D,dispatchGroup:H};this.backend.capturedCommandList.get(this.backend.currentSessionId).push(V)}q.setPipeline(Q.computePipeline),q.setBindGroup(0,D),q.dispatchWorkgroups(...H),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(),Je(Q.programInfo.name)}dispose(){}build(Q,J){tt(Q.name);let G=this.backend.device,H=[];[{feature:"shader-f16",extension:"f16"},{feature:"subgroups",extension:"subgroups"}].forEach((V)=>{G.features.has(V.feature)&&H.push(`enable ${V.extension};`)});let K=pg(J,this.backend.device.limits),z=Q.getShaderSource(K),q=`${H.join(`
`)}
${K.additionalImplementations}
${z}`,F=G.createShaderModule({code:q,label:Q.name});ie("verbose",()=>`[WebGPU] ${Q.name} shader code: ${q}`);let D=G.createComputePipeline({compute:{module:F,entryPoint:"main"},layout:"auto",label:Q.name});return Je(Q.name),{programInfo:Q,computePipeline:D,uniformVariablesInfo:K.variablesInfo}}normalizeDispatchGroupSize(Q){let J=typeof Q=="number"?Q:Q.x,G=typeof Q=="number"?1:Q.y||1,H=typeof Q=="number"?1:Q.z||1,K=this.backend.device.limits.maxComputeWorkgroupsPerDimension;if(J<=K&&G<=K&&H<=K)return[J,G,H];let z=J*G*H,q=Math.ceil(Math.sqrt(z));if(q>K){if(q=Math.ceil(Math.cbrt(z)),q>K)throw Error("Total dispatch size exceeds WebGPU maximum.");return[q,q,q]}else return[q,q,1]}}}),ux={};Wn(ux,{WebGpuBackend:()=>xl});var WA,HA,_l,xl,lx=$(()=>{qe(),X(),gn(),Wu(),cg(),ax(),sx(),WA=(Q,J)=>{if(J.length!==Q.length)throw Error(`inputDependencies length ${J.length} is not equal to inputTensors length ${Q.length}.`);let G=[];for(let H=0;H<Q.length;++H){let K=Q[H].dataType;switch(J[H]){case"none":{G.push("");break}case"type":{G.push(`${K}`);break}case"rank":{let z=Q[H].dims.length;G.push(`${K};${z}`);break}case"dims":{let z=Q[H].dims.join(",");G.push(`${K};${z}`);break}default:throw Error(`unsupported input dependency: ${J[H]}`)}}return G.join("|")},HA=(Q,J,G)=>{let H=Q.name;return Q.shaderCache?.hint&&(H+="["+Q.shaderCache.hint+"]"),H+=":"+G+`:${WA(J,Q.shaderCache?.inputDependencies??Array(J.length).fill("dims"))}`,H},_l=class{constructor(Q){Q&&(this.architecture=Q.architecture,this.vendor=Q.vendor)}isArchitecture(Q){return this.architecture===Q}isVendor(Q){return this.vendor===Q}},xl=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 Error("currentKernelCustomData(): currentKernelId is null. (should not happen)");let Q=this.kernelCustomData.get(this.currentKernelId);return Q||(Q={},this.kernelCustomData.set(this.currentKernelId,Q)),Q}async initialize(Q,J){this.env=Q;let G=[],H={requiredLimits:{maxComputeWorkgroupStorageSize:J.limits.maxComputeWorkgroupStorageSize,maxComputeWorkgroupsPerDimension:J.limits.maxComputeWorkgroupsPerDimension,maxStorageBufferBindingSize:J.limits.maxStorageBufferBindingSize,maxBufferSize:J.limits.maxBufferSize,maxComputeInvocationsPerWorkgroup:J.limits.maxComputeInvocationsPerWorkgroup,maxComputeWorkgroupSizeX:J.limits.maxComputeWorkgroupSizeX,maxComputeWorkgroupSizeY:J.limits.maxComputeWorkgroupSizeY,maxComputeWorkgroupSizeZ:J.limits.maxComputeWorkgroupSizeZ},requiredFeatures:G},K=(z)=>J.features.has(z)&&G.push(z)&&!0;K("chromium-experimental-timestamp-query-inside-passes")||K("timestamp-query"),K("shader-f16"),K("subgroups"),this.device=await J.requestDevice(H),this.adapterInfo=new _l(J.info||await J.requestAdapterInfo()),this.gpuDataManager=lg(this),this.programManager=new na(this),this.kernels=new Map,this.kernelPersistentData=new Map,this.kernelCustomData=new Map,Ci(Q.logLevel,!!Q.debug),this.device.onuncapturederror=(z)=>{z.error instanceof GPUValidationError&&console.error(`An uncaught WebGPU validation error was raised: ${z.error.message}`)},Object.defineProperty(this.env.webgpu,"device",{value:this.device,writable:!1,enumerable:!0,configurable:!0}),Object.defineProperty(this.env.webgpu,"adapter",{value:J,writable:!1,enumerable:!0,configurable:!1}),this.setQueryType()}dispose(){typeof this.querySet<"u"&&this.querySet.destroy(),this.gpuDataManager.dispose(),this.device&&this.env?.webgpu&&this.device.lost.then(()=>{delete this.env.webgpu.device})}getCommandEncoder(){return this.commandEncoder||(this.commandEncoder=this.device.createCommandEncoder()),this.commandEncoder}getComputePassEncoder(){if(!this.computePassEncoder){let Q=this.getCommandEncoder(),J={};this.queryType==="at-passes"&&(J.timestampWrites={querySet:this.querySet,beginningOfPassWriteIndex:this.pendingDispatchNumber*2,endOfPassWriteIndex:this.pendingDispatchNumber*2+1}),this.computePassEncoder=Q.beginComputePass(J)}return this.computePassEncoder}endComputePass(){this.computePassEncoder&&(this.computePassEncoder.end(),this.computePassEncoder=null)}flush(){if(!this.commandEncoder)return;tt(),this.endComputePass();let Q;this.queryType!=="none"&&(this.commandEncoder.resolveQuerySet(this.querySet,0,this.pendingDispatchNumber*2,this.queryResolveBuffer,0),Q=this.device.createBuffer({size:this.pendingDispatchNumber*2*8,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),this.pendingQueries.set(Q,this.pendingKernels),this.pendingKernels=[],this.commandEncoder.copyBufferToBuffer(this.queryResolveBuffer,0,Q,0,this.pendingDispatchNumber*2*8)),this.device.queue.submit([this.commandEncoder.finish()]),this.gpuDataManager.refreshPendingBuffers(),this.commandEncoder=null,this.pendingDispatchNumber=0,this.queryType!=="none"&&Q.mapAsync(GPUMapMode.READ).then(()=>{let J=new BigUint64Array(Q.getMappedRange()),G=this.pendingQueries.get(Q);for(let H=0;H<J.length/2;H++){let K=G[H],z=K.kernelId,q=this.kernels.get(z),F=q.kernelType,D=q.kernelName,V=K.programName,O=K.inputTensorViews,P=K.outputTensorViews,N=J[H*2],I=J[H*2+1];typeof this.queryTimeBase>"u"&&(this.queryTimeBase=N);let R=Number(N-this.queryTimeBase),w=Number(I-this.queryTimeBase);if(!Number.isSafeInteger(R)||!Number.isSafeInteger(w))throw RangeError("incorrect timestamp range");if(this.env.webgpu.profiling?.ondata)this.env.webgpu.profiling.ondata({version:1,inputsMetadata:O.map((E)=>({dims:E.dims,dataType:mn(E.dataType)})),outputsMetadata:P.map((E)=>({dims:E.dims,dataType:mn(E.dataType)})),kernelId:z,kernelType:F,kernelName:D,programName:V,startTime:R,endTime:w});else{let E="";O.forEach((y,x)=>{E+=`input[${x}]: [${y.dims}] | ${mn(y.dataType)}, `});let T="";P.forEach((y,x)=>{T+=`output[${x}]: [${y.dims}] | ${mn(y.dataType)}, `}),console.log(`[profiling] kernel "${z}|${F}|${D}|${V}" ${E}${T}start time: ${R} ns, execution time: ${w-R} ns`)}kr("GPU",`${V}::${N}::${I}`)}Q.unmap(),this.pendingQueries.delete(Q)}),Je()}run(Q,J,G,H,K,z){tt(Q.name);let q=[];for(let y=0;y<J.length;++y){let x=J[y].data;if(x===0)continue;let b=this.gpuDataManager.get(x);if(!b)throw Error(`no GPU data for input: ${x}`);q.push(b)}let{outputs:F,dispatchGroup:D,programUniforms:V}=Q.getRunData(J),O=G.length===0?F.map((y,x)=>x):G;if(O.length!==F.length)throw Error(`Output size ${O.length} must be equal to ${F.length}.`);let P=[],N=[];for(let y=0;y<F.length;++y){if(!Number.isInteger(O[y])||O[y]<-3||O[y]>=z)throw Error(`Invalid output index: ${O[y]}`);if(O[y]===-3)continue;let x=O[y]===-1,b=O[y]===-2,g=x||b?K(F[y].dataType,F[y].dims):H(O[y],F[y].dataType,F[y].dims);if(P.push(g),g.data===0)continue;let l=this.gpuDataManager.get(g.data);if(!l)throw Error(`no GPU data for output: ${g.data}`);if(x&&this.temporaryData.push(l),b){let _=this.kernelPersistentData.get(this.currentKernelId);_||(_=[],this.kernelPersistentData.set(this.currentKernelId,_)),_.push(l)}N.push(l)}if(q.length!==J.length||N.length!==P.length){if(N.length===0)return Je(Q.name),P;throw Error(`Program ${Q.name} has zero-sized tensor(s) in inputs or outputs. This is not supported now.`)}let I;if(V){let y=0,x=[];V.forEach((_)=>{let a=typeof _.data=="number"?[_.data]:_.data;if(a.length===0)return;let r=_.type===10?2:4,f0,t;_.type===10?(t=a.length>4?16:a.length>2?8:a.length*r,f0=a.length>4?16:r*a.length):(t=a.length<=2?a.length*r:16,f0=16),y=Math.ceil(y/t)*t,x.push(y);let p0=_.type===10?8:4;y+=a.length>4?Math.ceil(a.length/p0)*f0:a.length*r});let b=16;y=Math.ceil(y/b)*b;let g=new ArrayBuffer(y);V.forEach((_,a)=>{let r=x[a],f0=typeof _.data=="number"?[_.data]:_.data;if(_.type===6)new Int32Array(g,r,f0.length).set(f0);else if(_.type===12)new Uint32Array(g,r,f0.length).set(f0);else if(_.type===10)new Uint16Array(g,r,f0.length).set(f0);else if(_.type===1)new Float32Array(g,r,f0.length).set(f0);else throw Error(`Unsupported uniform type: ${mn(_.type)}`)});let l=this.gpuDataManager.create(y,GPUBufferUsage.COPY_DST|GPUBufferUsage.UNIFORM);this.device.queue.writeBuffer(l.buffer,0,g,0,y),this.gpuDataManager.release(l.id),I={offset:0,size:y,buffer:l.buffer}}let R=this.programManager.normalizeDispatchGroupSize(D),w=R[1]===1&&R[2]===1,E=HA(Q,J,w),T=this.programManager.getArtifact(E);if(T||(T=this.programManager.build(Q,R),this.programManager.setArtifact(E,T),ie("info",()=>`[artifact] key: ${E}, programName: ${Q.name}`)),V&&T.uniformVariablesInfo){if(V.length!==T.uniformVariablesInfo.length)throw Error(`Uniform variables count mismatch: expect ${T.uniformVariablesInfo.length}, got ${V.length} in program "${T.programInfo.name}".`);for(let y=0;y<V.length;y++){let x=V[y],b=x.type,g=typeof x.data=="number"?1:x.data.length,[l,_]=T.uniformVariablesInfo[y];if(b!==l||g!==_)throw Error(`Uniform variable ${y} mismatch: expect type ${l} with size ${_}, got type ${b} with size ${g} in program "${T.programInfo.name}".`)}}if(ie("info",()=>`[ProgramManager] run "${Q.name}" (key=${E}) with ${R[0]}x${R[1]}x${R[2]}`),this.queryType!=="none"||this.sessionStatus==="capturing"){let y={kernelId:this.currentKernelId,programName:T.programInfo.name,inputTensorViews:J,outputTensorViews:P};this.pendingKernels.push(y),this.sessionStatus==="capturing"&&this.capturedPendingKernels.get(this.currentSessionId).push(y)}return this.programManager.run(T,q,N,R,I),Je(Q.name),P}upload(Q,J){this.gpuDataManager.upload(Q,J)}memcpy(Q,J){this.gpuDataManager.memcpy(Q,J)}async download(Q,J){await this.gpuDataManager.download(Q,J)}alloc(Q){return this.gpuDataManager.create(Q).id}free(Q){return this.gpuDataManager.release(Q)}createKernel(Q,J,G,H){let K=ix.get(Q);if(!K)throw Error(`kernel not implemented: ${Q}`);let z={kernelType:Q,kernelName:H,kernelEntry:K[0],attributes:[K[1],G]};this.kernels.set(J,z)}releaseKernel(Q){let J=this.kernelPersistentData.get(Q);if(J){for(let G of J)this.gpuDataManager.release(G.id);this.kernelPersistentData.delete(Q)}this.kernelCustomData.delete(Q),this.kernels.delete(Q)}computeKernel(Q,J,G){let H=this.kernels.get(Q);if(!H)throw Error(`kernel not created: ${Q}`);let{kernelType:K,kernelName:z,kernelEntry:q,attributes:F}=H;if(this.currentKernelId!==null)throw Error(`kernel "[${K}] ${z}" is not allowed to be called recursively`);this.currentKernelId=Q,F[0]&&(F[1]=F[0](F[1]),F[0]=void 0),ie("info",()=>`[WebGPU] Start to run kernel "[${K}] ${z}"...`);let D=this.env.debug;this.temporaryData=[];try{return D&&this.device.pushErrorScope("validation"),q(J,F[1]),0}catch(V){return G.push(Promise.resolve(`[WebGPU] Kernel "[${K}] ${z}" failed. ${V}`)),1}finally{D&&G.push(this.device.popErrorScope().then((V)=>V?`GPU validation error for kernel "[${K}] ${z}": ${V.message}`:null));for(let V of this.temporaryData)this.gpuDataManager.release(V.id);this.temporaryData=[],this.currentKernelId=null}}registerBuffer(Q,J,G,H){let K=this.sessionExternalDataMapping.get(Q);K||(K=new Map,this.sessionExternalDataMapping.set(Q,K));let z=K.get(J),q=this.gpuDataManager.registerExternalBuffer(G,H,z);return K.set(J,[q,G]),q}unregisterBuffers(Q){let J=this.sessionExternalDataMapping.get(Q);J&&(J.forEach((G)=>this.gpuDataManager.unregisterExternalBuffer(G[0])),this.sessionExternalDataMapping.delete(Q))}getBuffer(Q){let J=this.gpuDataManager.get(Q);if(!J)throw Error(`no GPU data for buffer: ${Q}`);return J.buffer}createDownloader(Q,J,G){return async()=>{let H=await Zu(this,Q,J);return ki(H.buffer,G)}}writeTimestamp(Q){this.queryType==="inside-passes"&&this.computePassEncoder.writeTimestamp(this.querySet,Q)}setQueryType(){this.queryType="none",(this.env.webgpu.profiling?.mode==="default"||(typeof this.env.trace>"u"?this.env.wasm.trace:this.env.trace))&&(this.device.features.has("chromium-experimental-timestamp-query-inside-passes")?this.queryType="inside-passes":this.device.features.has("timestamp-query")&&(this.queryType="at-passes"),this.queryType!=="none"&&typeof this.querySet>"u"&&(this.querySet=this.device.createQuerySet({type:"timestamp",count:this.maxDispatchNumber*2}),this.queryResolveBuffer=this.device.createBuffer({size:this.maxDispatchNumber*2*8,usage:GPUBufferUsage.COPY_SRC|GPUBufferUsage.QUERY_RESOLVE})))}captureBegin(){ie("info","captureBegin"),this.capturedCommandList.get(this.currentSessionId)||this.capturedCommandList.set(this.currentSessionId,[]),this.capturedPendingKernels.get(this.currentSessionId)||this.capturedPendingKernels.set(this.currentSessionId,[]),this.flush(),this.sessionStatus="capturing"}captureEnd(){ie("info","captureEnd"),this.flush(),this.sessionStatus="default"}replay(){ie("info","replay"),this.sessionStatus="replaying";let Q=this.capturedCommandList.get(this.currentSessionId),J=this.capturedPendingKernels.get(this.currentSessionId),G=Q.length;this.pendingKernels=[];for(let H=0;H<G;H++){let K=this.getComputePassEncoder(),z=Q[H];this.writeTimestamp(this.pendingDispatchNumber*2),K.setPipeline(z.computePipeline),K.setBindGroup(0,z.bindGroup),K.dispatchWorkgroups(...z.dispatchGroup),this.writeTimestamp(this.pendingDispatchNumber*2+1),this.pendingDispatchNumber++,this.queryType!=="none"&&this.pendingKernels.push(J[H]),(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(Q){this.unregisterBuffers(Q),this.capturedCommandList.has(Q)&&this.capturedCommandList.delete(Q),this.capturedPendingKernels.has(Q)&&this.capturedPendingKernels.delete(Q),this.gpuDataManager.onReleaseSession(Q)}onRunStart(Q){this.currentSessionId=Q,this.setQueryType()}}}),cx={};Wn(cx,{init:()=>qA});var so,wl,qA,dx=$(()=>{X(),gn(),ee(),ig(),so=class Q{constructor(J,G,H,K){this.module=J,this.dataType=G,this.data=H,this.dims=K}getFloat32Array(){if(this.dataType!==1)throw Error("Invalid data type");let J=S.size(this.dims);return J===0?new Float32Array:new Float32Array(this.module.HEAP8.buffer,this.data,J)}getBigInt64Array(){if(this.dataType!==7)throw Error("Invalid data type");let J=S.size(this.dims);return J===0?new BigInt64Array:new BigInt64Array(this.module.HEAP8.buffer,this.data,J)}getInt32Array(){if(this.dataType!==6)throw Error("Invalid data type");let J=S.size(this.dims);return J===0?new Int32Array:new Int32Array(this.module.HEAP8.buffer,this.data,J)}getUint16Array(){if(this.dataType!==10&&this.dataType!==4)throw Error("Invalid data type");let J=S.size(this.dims);return J===0?new Uint16Array:new Uint16Array(this.module.HEAP8.buffer,this.data,J)}reshape(J){if(S.size(J)!==S.size(this.dims))throw Error("Invalid new shape");return new Q(this.module,this.dataType,this.data,J)}},wl=class{constructor(Q,J,G){this.module=Q,this.backend=J,this.customDataOffset=0,this.customDataSize=0,this.adapterInfo=J.adapterInfo;let H=Q.PTR_SIZE,K=G/Q.PTR_SIZE,z=H===4?"i32":"i64";this.opKernelContext=Number(Q.getValue(H*K++,z));let q=Number(Q.getValue(H*K++,z));this.outputCount=Number(Q.getValue(H*K++,z)),this.customDataOffset=Number(Q.getValue(H*K++,"*")),this.customDataSize=Number(Q.getValue(H*K++,z));let F=[];for(let D=0;D<q;D++){let V=Number(Q.getValue(H*K++,z)),O=Number(Q.getValue(H*K++,"*")),P=Number(Q.getValue(H*K++,z)),N=[];for(let I=0;I<P;I++)N.push(Number(Q.getValue(H*K++,z)));F.push(new so(Q,V,O,N))}this.inputs=F}get kernelCustomData(){return this.backend.currentKernelCustomData}get customDataBuffer(){return this.module.HEAPU8.subarray(this.customDataOffset,this.customDataOffset+this.customDataSize)}compute(Q,J){let G=J?.inputs?.map((q)=>typeof q=="number"?this.inputs[q]:q)??this.inputs,H=J?.outputs??[],K=(q,F,D)=>new so(this.module,F,this.output(q,D),D),z=(q,F)=>{let D=Vn(q,F);if(!D)throw Error(`Unsupported data type: ${q}`);let V=D>0?this.backend.gpuDataManager.create(D).id:0;return new so(this.module,q,V,F)};return this.backend.run(Q,G,H,K,z,this.outputCount)}output(Q,J){let G=this.module.stackSave();try{let H=this.module.PTR_SIZE,K=H===4?"i32":"i64",z=this.module.stackAlloc((1+J.length)*H);this.module.setValue(z,J.length,K);for(let q=0;q<J.length;q++)this.module.setValue(z+H*(q+1),J[q],K);return this.module._JsepOutput(this.opKernelContext,Q,z)}catch(H){throw Error(`Failed to generate kernel's output[${Q}] with dims [${J}]. If you are running with pre-allocated output, please make sure the output type/dims are correct. Error: ${H}`)}finally{this.module.stackRestore(G)}}},qA=async(Q,J,G,H)=>{let K=J.jsepInit;if(!K)throw Error("Failed to initialize JSEP. The WebAssembly module is not built with JSEP support.");if(Q==="webgpu"){let z=(lx(),pr(ux)).WebGpuBackend,q=new z;await q.initialize(G,H),K("webgpu",[q,(F)=>q.alloc(Number(F)),(F)=>q.free(F),(F,D,V,O=!1)=>{if(O)ie("verbose",()=>`[WebGPU] jsepCopyGpuToGpu: src=${Number(F)}, dst=${Number(D)}, size=${Number(V)}`),q.memcpy(Number(F),Number(D));else{ie("verbose",()=>`[WebGPU] jsepCopyCpuToGpu: dataOffset=${Number(F)}, gpuDataId=${Number(D)}, size=${Number(V)}`);let P=J.HEAPU8.subarray(Number(F>>>0),Number(F>>>0)+Number(V));q.upload(Number(D),P)}},async(F,D,V)=>{ie("verbose",()=>`[WebGPU] jsepCopyGpuToCpu: gpuDataId=${F}, dataOffset=${D}, size=${V}`),await q.download(Number(F),()=>J.HEAPU8.subarray(Number(D)>>>0,Number(D+V)>>>0))},(F,D,V)=>q.createKernel(F,Number(D),V,J.UTF8ToString(J._JsepGetNodeName(Number(D)))),(F)=>q.releaseKernel(F),(F,D,V,O)=>{ie("verbose",()=>`[WebGPU] jsepRun: sessionHandle=${V}, kernel=${F}, contextDataOffset=${D}`);let P=new wl(J,q,Number(D));return q.computeKernel(Number(F),P,O)},()=>q.captureBegin(),()=>q.captureEnd(),()=>q.replay()])}else{let z=new zi(G);K("webnn",[z,()=>z.reserveTensorId(),(q)=>z.releaseTensorId(q),async(q,F,D,V,O)=>z.ensureTensor(q,F,D,V,O),(q,F)=>{z.uploadTensor(q,F)},async(q,F)=>z.downloadTensor(q,F),(q,F)=>z.registerMLContext(q,F),!!G.trace])}}}),jA,_i,xi,cr,KA,px,Yr,wi,Ti,fx,vi,Ii,Si,zu=$(()=>{qe(),qm(),Km(),X(),Bn(),Pi(),Gu(),jA=(Q,J)=>{we()._OrtInit(Q,J)!==0&&fe("Can't initialize onnxruntime.")},_i=async(Q)=>{jA(Q.wasm.numThreads,to(Q.logLevel))},xi=async(Q,J)=>{we().asyncInit?.();let G=Q.webgpu.adapter;if(J==="webgpu"){if(typeof navigator>"u"||!navigator.gpu)throw Error("WebGPU is not supported in current environment");if(G){if(typeof G.limits!="object"||typeof G.features!="object"||typeof G.requestDevice!="function")throw Error("Invalid GPU adapter set in `env.webgpu.adapter`. It must be a GPUAdapter object.")}else{let H=Q.webgpu.powerPreference;if(H!==void 0&&H!=="low-power"&&H!=="high-performance")throw Error(`Invalid powerPreference setting: "${H}"`);let K=Q.webgpu.forceFallbackAdapter;if(K!==void 0&&typeof K!="boolean")throw Error(`Invalid forceFallbackAdapter setting: "${K}"`);if(G=await navigator.gpu.requestAdapter({powerPreference:H,forceFallbackAdapter:K}),!G)throw Error('Failed to get GPU adapter. You may need to enable flag "--enable-unsafe-webgpu" if you are using Chrome.')}}if(J==="webnn"&&(typeof navigator>"u"||!navigator.ml))throw Error("WebNN is not supported in current environment");{let H=(dx(),pr(cx)).init;J==="webgpu"&&await H("webgpu",we(),Q,G),J==="webnn"&&await H("webnn",we(),Q)}},cr=new Map,KA=(Q)=>{let J=we(),G=J.stackSave();try{let H=J.PTR_SIZE,K=J.stackAlloc(2*H);J._OrtGetInputOutputCount(Q,K,K+H)!==0&&fe("Can't get session input/output count.");let z=H===4?"i32":"i64";return[Number(J.getValue(K,z)),Number(J.getValue(K+H,z))]}finally{J.stackRestore(G)}},px=(Q,J)=>{let G=we(),H=G.stackSave(),K=0;try{let z=G.PTR_SIZE,q=G.stackAlloc(2*z);G._OrtGetInputOutputMetadata(Q,J,q,q+z)!==0&&fe("Can't get session input/output metadata.");let F=Number(G.getValue(q,"*"));K=Number(G.getValue(q+z,"*"));let D=G.HEAP32[K/4];if(D===0)return[F,0];let V=G.HEAPU32[K/4+1],O=[];for(let P=0;P<V;P++){let N=Number(G.getValue(K+8+P*z,"*"));O.push(N!==0?G.UTF8ToString(N):Number(G.getValue(K+8+(P+V)*z,"*")))}return[F,D,O]}finally{G.stackRestore(H),K!==0&&G._OrtFree(K)}},Yr=(Q)=>{let J=we(),G=J._malloc(Q.byteLength);if(G===0)throw Error(`Can't create a session. failed to allocate a buffer of size ${Q.byteLength}.`);return J.HEAPU8.set(Q,G),[G,Q.byteLength]},wi=async(Q,J)=>{let G,H,K=we();Array.isArray(Q)?[G,H]=Q:Q.buffer===K.HEAPU8.buffer?[G,H]=[Q.byteOffset,Q.byteLength]:[G,H]=Yr(Q);let z=0,q=0,F=0,D=[],V=[],O=[];try{if([q,D]=await jm(J),J?.externalData&&K.mountExternalData){let b=[];for(let g of J.externalData){let l=typeof g=="string"?g:g.path;b.push(no(typeof g=="string"?g:g.data).then((_)=>{K.mountExternalData(l,_)}))}await Promise.all(b)}for(let b of J?.executionProviders??[])if((typeof b=="string"?b:b.name)==="webnn"){if(K.shouldTransferToMLTensor=!1,typeof b!="string"){let g=b,l=g?.context,_=g?.gpuDevice,a=g?.deviceType,r=g?.powerPreference;l?K.currentContext=l:_?K.currentContext=await K.webnnCreateMLContext(_):K.currentContext=await K.webnnCreateMLContext({deviceType:a,powerPreference:r})}else K.currentContext=await K.webnnCreateMLContext();break}z=await K._OrtCreateSession(G,H,q),K.webgpuOnCreateSession?.(z),z===0&&fe("Can't create a session."),K.jsepOnCreateSession?.(),K.currentContext&&(K.webnnRegisterMLContext(z,K.currentContext),K.currentContext=void 0,K.shouldTransferToMLTensor=!0);let[P,N]=KA(z),I=!!J?.enableGraphCapture,R=[],w=[],E=[],T=[],y=[];for(let b=0;b<P;b++){let[g,l,_]=px(z,b);g===0&&fe("Can't get an input name."),V.push(g);let a=K.UTF8ToString(g);R.push(a),E.push(l===0?{name:a,isTensor:!1}:{name:a,isTensor:!0,type:mn(l),shape:_})}for(let b=0;b<N;b++){let[g,l,_]=px(z,b+P);g===0&&fe("Can't get an output name."),O.push(g);let a=K.UTF8ToString(g);w.push(a),T.push(l===0?{name:a,isTensor:!1}:{name:a,isTensor:!0,type:mn(l),shape:_});{if(I&&J?.preferredOutputLocation===void 0){y.push("gpu-buffer");continue}let r=typeof J?.preferredOutputLocation=="string"?J.preferredOutputLocation:J?.preferredOutputLocation?.[a]??"cpu",f0=K.webnnIsGraphOutput;if(r==="cpu"&&f0&&f0(z,a)){y.push("ml-tensor-cpu-output");continue}if(r!=="cpu"&&r!=="cpu-pinned"&&r!=="gpu-buffer"&&r!=="ml-tensor")throw Error(`Not supported preferred output location: ${r}.`);if(I&&r!=="gpu-buffer")throw Error(`Not supported preferred output location: ${r}. 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I4{attachments;$;constructor(Q,J){super((G,H)=>{if(!this.includesMorph&&!this.allowsRequiresContext&&this.allows(G))return G;if(H)return this.traverseApply(G,H),H.hasError()?H.errors:H.data;let K=new ZP(G,this.$.resolvedConfig);return this.traverseApply(G,K),K.finalize()},{attach:Q});this.attachments=Q,this.$=J}withMeta(Q){return this.$.node(this.kind,{...this.inner,meta:typeof 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this.cacheGetter("shallowReferences",this.hasKind("structure")?[this,...this.children]:this.children.reduce((Q,J)=>Zs0(Q,J.shallowReferences),[this]))}get shallowMorphs(){return this.cacheGetter("shallowMorphs",this.shallowReferences.filter((Q)=>Q.hasKind("morph")).sort((Q,J)=>Q.expression<J.expression?-1:1))}get flatRefs(){return this.cacheGetter("flatRefs",this.children.reduce((Q,J)=>fK(Q,J.flatRefs),[]).sort((Q,J)=>Q.path.length>J.path.length?1:Q.path.length<J.path.length?-1:Q.propString>J.propString?1:Q.propString<J.propString?-1:Q.node.expression<J.node.expression?-1:1))}precedence=_K(this.kind);precompilation;allows=(Q)=>{if(this.allowsRequiresContext)return this.traverseAllows(Q,new ZP(Q,this.$.resolvedConfig));return this.traverseAllows(Q)};traverse(Q){return this(Q)}get in(){return this.cacheGetter("in",this.getIo("in"))}get out(){return this.cacheGetter("out",this.getIo("out"))}getIo(Q){if(!this.includesMorph)return this;let J={};for(let[G,H]of this.innerEntries){let K=this.impl.keys[G];if(K.reduceIo)K.reduceIo(Q,J,H);else if(K.child){let z=H;J[G]=V9(z)?z.map((q)=>q[Q]):z[Q]}else J[G]=H}return this.$.node(this.kind,J)}toJSON(){return this.json}toString(){return this.expression}equals(Q){let J=C9(Q)?Q:this.$.parseDefinition(Q);return this.innerHash===J.innerHash}ifEquals(Q){return this.equals(Q)?this:void 0}hasKind(Q){return this.kind===Q}assertHasKind(Q){if(this.kind!==Q)B3(`${this.kind} node was not of asserted kind ${Q}`);return this}hasKindIn(...Q){return Q.includes(this.kind)}assertHasKindIn(...Q){if(!W5(Q,this.kind))B3(`${this.kind} node was not one of asserted kinds ${Q}`);return this}isBasis(){return W5(u30,this.kind)}isConstraint(){return W5(qP,this.kind)}isStructural(){return W5(bK,this.kind)}isRefinement(){return W5(Ck,this.kind)}isRoot(){return W5(gK,this.kind)}isUnknown(){return this.hasKind("intersection")&&this.children.length===0}isNever(){return this.hasKind("union")&&this.children.length===0}hasUnit(Q){return this.hasKind("unit")&&this.allows(Q)}hasOpenIntersection(){return this.impl.intersectionIsOpen}get nestableExpression(){return this.expression}firstReference(Q){return this.references.find((J)=>J!==this&&Q(J))}firstReferenceOrThrow(Q){return this.firstReference(Q)??B3(`${this.id} had no references matching predicate ${Q}`)}firstReferenceOfKind(Q){return this.firstReference((J)=>J.hasKind(Q))}firstReferenceOfKindOrThrow(Q){return this.firstReference((J)=>J.kind===Q)??B3(`${this.id} had no ${Q} references`)}transform(Q,J){return this._transform(Q,{...J,seen:{},path:[],parseOptions:{prereduced:J?.prereduced??!1},undeclaredKeyHandling:void 0})}_transform(Q,J){let G=J.bindScope??this.$;if(J.seen[this.id])return this.$.lazilyResolve(J.seen[this.id]);if(J.shouldTransform?.(this,J)===!1)return this;let H;if(J.seen[this.id]=()=>H,this.hasKind("structure")&&this.undeclared!==J.undeclaredKeyHandling)J={...J,undeclaredKeyHandling:this.undeclared};let K=r8(this.inner,(q,F)=>{if(!this.impl.keys[q].child)return[q,F];let D=F;if(!V9(D)){let O=D._transform(Q,J);return O?[q,O]:[]}if(D.length===0)return[q,F];let V=D.flatMap((O)=>{return O._transform(Q,J)??[]});return V.length?[q,V]:[]});delete J.seen[this.id];let z=Q(this.kind,K,J);if(z===null)return null;if(C9(z))return H=z;if(UG(z)&&!UG(this.inner))return null;if((this.kind==="required"||this.kind==="optional"||this.kind==="index")&&!("value"in z))return J.undeclaredKeyHandling?{...z,value:NQ.intrinsic.unknown}:null;if(this.kind==="morph")z.in??=NQ.intrinsic.unknown;return H=G.node(this.kind,z,J.parseOptions)}configureShallowDescendants(Q){return this.$.finalize(this.transform((J,G)=>({...G,meta:Q}),{shouldTransform:(J)=>J.kind!=="structure"}))}}var Us0=(Q)=>z3(Q,{stringifyNonKey:(J)=>J.expression}),$G=(Q,J)=>({path:Q,node:J,propString:Us0(Q)}),$s0=(Q,J)=>Q.propString===J.propString&&Q.node.equals(J.node),fK=(Q,J)=>H5(Q,J,{isEqual:$s0}),Zs0=(Q,J)=>H5(Q,J,{isEqual:(G,H)=>G.equals(H)});class _Q extends Array{static init(Q,J,G,H){return new _Q({kind:Q,l:J,r:G,path:H?.path??[],optional:H?.optional??!1})}add(Q,J,G,H){return this.push({kind:Q,l:J,r:G,path:H?.path??[],optional:H?.optional??!1}),this}describeReasons(){if(this.length===1){let{path:Q,l:J,r:G}=this[0],H=z3(Q);return Rk(`Intersection${H&&` at ${H}`} of ${i30(J,G)}`)}return`The following intersections result in unsatisfiable types:
• ${this.map(({path:Q,l:J,r:G})=>`${Q}: ${i30(J,G)}`).join(`
• `)}`}throw(){return zQ(this.describeReasons())}invert(){return this.map((Q)=>({...Q,l:Q.r,r:Q.l}))}withPrefixKey(Q,J){return this.map((G)=>({...G,path:[Q,...G.path],optional:G.optional||J==="optional"}))}toNeverIfDisjoint(){return NQ.intrinsic.never}}var i30=(Q,J)=>`${Ik(Q)} and ${Ik(J)}`,Ik=(Q)=>C9(Q)?Q.expression:V9(Q)?Q.map(Ik).join(" | ")||"never":String(Q),Rk=(Q)=>`${Q} results in an unsatisfiable type`;var mK={},HY=(Q,J,G)=>M9(Q,J,{$:G,invert:!1,pipe:!1}),Ek=(Q,J,G)=>M9(Q,J,{$:G,invert:!1,pipe:!0}),M9=(Q,J,G)=>{let H=G.pipe?"|>":"&",K=`${Q.hash}${H}${J.hash}`;if(mK[K]!==void 0)return mK[K];if(!G.pipe){let F=`${J.hash}${H}${Q.hash}`;if(mK[F]!==void 0){let D=mK[F],V=D instanceof _Q?D.invert():D;return mK[K]=V,V}}let z=!G.pipe||!Q.includesMorph&&!J.includesMorph;if(z&&Q.equals(J))return Q;let q=z?wk(Q,J,G):Q.hasKindIn(...gK)?Fs0(Q,J,G):wk(Q,J,G);if(C9(q)){if(Q.equals(q))q=Q;else if(J.equals(q))q=J}return mK[K]=q,q},wk=(Q,J,G)=>{let H=Q.precedence<J.precedence?Q.kind:J.kind,K=Q.impl.intersections[J.kind]??J.impl.intersections[Q.kind];if(K===void 0)return null;else if(H===Q.kind)return K(Q,J,G);else{let z=K(J,Q,{...G,invert:!G.invert});if(z instanceof _Q)z=z.invert();return z}},Fs0=(Q,J,G)=>Q.includesMorph||J.includesMorph?G.invert?o30(J,Q,G):o30(Q,J,G):wk(Q,J,G),o30=(Q,J,G)=>Q.distribute((H)=>Ds0(H,J,G),(H)=>{let K=H.filter(C9);if(K.length===0)return _Q.init("union",Q.branches,J.branches);if(K.length<Q.branches.length||!Q.branches.every((F,D)=>F.in.equals(K[D].in)))return G.$.parseSchema(K);let z;if(K.length===1){let F=K[0];if(!z)return F;return G.$.node("morph",{...F.inner,in:F.in.withMeta(z)})}let q={branches:K};if(z)q.meta=z;return G.$.parseSchema(q)}),Ds0=(Q,J,G)=>{if(Q.hasKind("morph")){let K=[...Q.morphs];if(Q.lastMorphIfNode){let z=M9(Q.lastMorphIfNode,J,G);if(z instanceof _Q)return z;K[K.length-1]=z}else K.push(J);return G.$.node("morph",{morphs:K,in:Q.inner.in})}if(J.hasKind("morph")){let K=M9(Q,J.in,G);if(K instanceof _Q)return K;return G.$.node("morph",{morphs:[J],in:K})}return G.$.node("morph",{morphs:[J],in:Q})};class kY extends tq{constructor(Q,J){super(Q,J);Object.defineProperty(this,bJ,{value:"constraint",enumerable:!1})}impliedSiblings;intersect(Q){return HY(this,Q,this.$)}}class z5 extends kY{traverseApply=(Q,J)=>{if(!this.traverseAllows(Q,J))J.error(this.errorContext)};compile(Q){if(Q.traversalKind==="Allows")Q.return(this.compiledCondition);else Q.if(this.compiledNegation,()=>Q.line(`${Q.ctx}.error(${this.compiledErrorContext})`))}get errorContext(){return{code:this.kind,description:this.description,...this.inner}}get compiledErrorContext(){return w4(this.errorContext)}}var _X=(Q)=>(J,G)=>{if(V9(J)){if(J.length===0)return;let K=J.map((z)=>G.$.node(Q,z));if(Q==="predicate")return K;return K.sort((z,q)=>z.hash<q.hash?-1:1)}let H=G.$.node(Q,J);return H.hasOpenIntersection()?[H]:H},uK=(Q)=>{let J=Q.r.shift();if(!J){let H=Q.l.length===0&&Q.kind==="structure"?NQ.intrinsic.unknown.internal:Q.ctx.$.node(Q.kind,Object.assign(Q.baseInner,Ms0(Q.l)),{prereduced:!0});for(let K of Q.roots){if(H instanceof _Q)return H;H=M9(K,H,Q.ctx)}return H}let G=!1;for(let H=0;H<Q.l.length;H++){let K=M9(Q.l[H],J,Q.ctx);if(K===null)continue;if(K instanceof _Q)return K;if(!G){if(K.isRoot())return Q.roots.push(K),Q.l.splice(H),uK(Q);Q.l[H]=K,G=!0}else if(!Q.l.includes(K))return i6(`Unexpectedly encountered multiple distinct intersection results for refinement ${K}`)}if(!G)Q.l.push(J);if(Q.kind==="intersection")J.impliedSiblings?.forEach((H)=>H5(Q.r,H));return uK(Q)},pK=(Q)=>{return Object.entries(Q).flatMap(([G,H])=>(G in UP)?H:[]).sort((G,H)=>G.precedence<H.precedence?-1:G.precedence>H.precedence?1:G.kind==="predicate"&&H.kind==="predicate"?0:G.hash<H.hash?-1:1)},Ms0=(Q)=>{let J={};for(let G of Q)if(G.hasOpenIntersection())J[G.kind]=D6(J[G.kind],G);else{if(J[G.kind])return i6(`Unexpected intersection of closed refinements of kind ${G.kind}`);J[G.kind]=G}return J},n30=(...Q)=>zQ(a30(...Q)),a30=(Q,J,G)=>`${I30(Q)} operand must be ${J.description} (was ${G.exclude(J).description})`;var s30=(Q,J,G)=>new E4(Q,J,G,G,null);class FP extends I4{}class E4 extends I4{[bJ]="generic";paramDefs;bodyDef;$;arg$;baseInstantiation;hkt;description;constructor(Q,J,G,H,K){super((...z)=>{let q=r8(this.names,(F,D)=>{let V=this.arg$.parse(z[F]);if(!V.extends(this.constraints[F]))zQ(Ls0(D,this.constraints[F].expression,V.expression));return[D,V]});if(this.defIsLazy()){let F=this.bodyDef(q);return this.$.parse(F)}return this.$.parse(J,{args:q})});this.paramDefs=Q,this.bodyDef=J,this.$=G,this.arg$=H,this.hkt=K,this.description=K?new K().description??`a generic type for ${K.constructor.name}`:"a generic type",this.baseInstantiation=this(...this.constraints)}defIsLazy(){return this.bodyDef instanceof FP}cacheGetter(Q,J){return Object.defineProperty(this,Q,{value:J}),J}get json(){return this.cacheGetter("json",{params:this.params.map((Q)=>Q[1].isUnknown()?Q[0]:[Q[0],Q[1].json]),body:h30(this.bodyDef)})}get params(){return this.cacheGetter("params",this.paramDefs.map((Q)=>typeof Q==="string"?[Q,NQ.intrinsic.unknown]:[Q[0],this.$.parse(Q[1])]))}get names(){return this.cacheGetter("names",this.params.map((Q)=>Q[0]))}get constraints(){return this.cacheGetter("constraints",this.params.map((Q)=>Q[1]))}get internal(){return this}get referencesById(){return this.baseInstantiation.internal.referencesById}get references(){return this.baseInstantiation.internal.references}}var Ls0=(Q,J,G)=>`${Q} must be assignable to ${J} (was ${G})`;var x9=(Q)=>{let J=typeof Q==="string"?{description:Q}:Q,G=`${J.description} is not convertible to JSON Schema`;if(J.reason)G+=` because ${J.reason}`;return G},r30=(Q)=>x9({description:`Morph ${Q}`,reason:"it represents a transformation, while JSON Schema only allows validation. Consider creating a Schema from one of its endpoints using `.in` or `.out`."}),t30=(Q)=>x9({description:Q,reason:"cyclic types are not yet convertible to JSON Schema. If this feature is important to you, please add your feedback at https://github.com/arktypeio/arktype/issues/1087"}),S4=(Q,J)=>i6(`Unexpected JSON Schema input for ${Q}: ${n8(J)}`);var Os0=u8({kind:"predicate",hasAssociatedError:!0,collapsibleKey:"predicate",keys:{predicate:{}},normalize:(Q)=>typeof Q==="function"?{predicate:Q}:Q,defaults:{description:(Q)=>`valid according to ${Q.predicate.name||"an anonymous predicate"}`},intersectionIsOpen:!0,intersections:{predicate:()=>null}});class e30 extends kY{serializedPredicate=j7(this.predicate);compiledCondition=`${this.serializedPredicate}(data, ctx)`;compiledNegation=`!${this.compiledCondition}`;impliedBasis=null;expression=this.serializedPredicate;traverseAllows=this.predicate;errorContext={code:"predicate",description:this.description};compiledErrorContext=w4(this.errorContext);traverseApply=(Q,J)=>{if(!this.predicate(Q,J)&&!J.hasError())J.error(this.errorContext)};compile(Q){if(Q.traversalKind==="Allows"){Q.return(this.compiledCondition);return}Q.if(`${this.compiledNegation} && !ctx.hasError()`,()=>Q.line(`ctx.error(${this.compiledErrorContext})`))}reduceJsonSchema(){return zQ(x9({description:`Predicate ${this.expression}`}))}}var Sk={implementation:Os0,Node:e30};var Ps0=u8({kind:"divisor",collapsibleKey:"rule",keys:{rule:{}},normalize:(Q)=>typeof Q==="number"?{rule:Q}:Q,hasAssociatedError:!0,defaults:{description:(Q)=>Q.rule===1?"an integer":`a multiple of ${Q.rule}`},intersections:{divisor:(Q,J,G)=>G.$.node("divisor",{rule:Math.abs(Q.rule*J.rule/Ns0(Q.rule,J.rule))})}});class QB0 extends 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Q==="number"?{rule:Q}:Q,defaults:{description:(Q)=>`${Q.exclusive?"less than":"at most"} ${Q.rule}`},intersections:{max:(Q,J)=>Q.isStricterThan(J)?Q:J,min:(Q,J,G)=>Q.overlapsRange(J)?Q.overlapIsUnit(J)?G.$.node("unit",{unit:Q.rule}):null:_Q.init("range",Q,J)}});class WB0 extends BY{impliedBasis=NQ.intrinsic.number.internal;traverseAllows=this.exclusive?(Q)=>Q<this.rule:(Q)=>Q<=this.rule;reduceJsonSchema(Q){if(this.exclusive)Q.exclusiveMaximum=this.rule;else Q.maximum=this.rule;return Q}}var xk={implementation:ys0,Node:WB0};var vs0=u8({kind:"maxLength",collapsibleKey:"rule",hasAssociatedError:!0,keys:{rule:{parse:lK("maxLength")}},reduce:(Q,J)=>Q.rule===0?J.node("exactLength",Q):void 0,normalize:MP("maxLength"),defaults:{description:(Q)=>`at most length ${Q.rule}`,actual:(Q)=>`${Q.length}`},intersections:{maxLength:(Q,J)=>Q.isStricterThan(J)?Q:J,minLength:(Q,J,G)=>Q.overlapsRange(J)?Q.overlapIsUnit(J)?G.$.node("exactLength",{rule:Q.rule}):null:_Q.init("range",Q,J)}});class HB0 extends 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_Q)&&this.equals(J)}ifExtends(Q){return this.extends(Q)?this:void 0}subsumes(Q){return this.$.parseDefinition(Q).extends(this)}configure(Q){return this.configureShallowDescendants(Q)}describe(Q){return this.configure({description:Q})}optional(){return[this,"?"]}default(Q){return YU(this,Q,null),[this,"=",Q]}from(Q){return this.assert(Q)}_pipe(...Q){return Q.reduce((J,G)=>J.pipeOnce(G),this)}tryPipe(...Q){return Q.reduce((J,G)=>J.pipeOnce(Q8(G,"root")?G:(H,K)=>{try{return G(H,K)}catch(z){return K.error({code:"predicate",predicate:G,actual:`aborted due to error:
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`})}}),this)}pipe=Object.assign(this._pipe.bind(this),{try:this.tryPipe.bind(this)});to(Q){return this.$.finalize(this.toNode(this.$.parseDefinition(Q)))}toNode(Q){let J=Ek(this,Q,this.$);if(J instanceof _Q)return J.throw();return J}pipeOnce(Q){if(Q8(Q,"root"))return this.toNode(Q);return this.distribute((J)=>J.hasKind("morph")?this.$.node("morph",{in:J.inner.in,morphs:[...J.morphs,Q]}):this.$.node("morph",{in:J,morphs:[Q]}),this.$.parseSchema)}get flatMorphs(){return this.cacheGetter("flatMorphs",this.flatRefs.reduce((Q,J)=>fK(Q,J.node.hasKind("union")?J.node.branches.filter((G)=>G.hasKind("morph")).map((G)=>({path:J.path,propString:J.propString,node:G})):J.node.hasKind("morph")?J:[]),[]))}narrow(Q){return this.constrainOut("predicate",Q)}constrain(Q,J){return this._constrain("root",Q,J)}constrainIn(Q,J){return this._constrain("in",Q,J)}constrainOut(Q,J){return this._constrain("out",Q,J)}_constrain(Q,J,G){let H=this.$.node(J,G);if(H.isRoot())return H.isUnknown()?this:i6(`Unexpected constraint node ${H}`);let K=Q==="root"?this:this[Q];if(K.hasKind("morph")||H.impliedBasis&&!K.extends(H.impliedBasis))return n30(J,H.impliedBasis,this);let z=this.$.node("intersection",{[H.kind]:H}),q=Q==="out"?Ek(this,z,this.$):HY(this,z,this.$);if(q instanceof _Q)q.throw();return this.$.finalize(q)}onUndeclaredKey(Q){let J=typeof Q==="string"?Q:Q.rule,G=typeof Q==="string"?!1:Q.deep;return this.$.finalize(this.transform((H,K)=>H==="structure"?J==="ignore"?F30(K,{undeclared:1}):{...K,undeclared:J}:K,G?void 0:{shouldTransform:(H)=>!W5(bK,H.kind)}))}onDeepUndeclaredKey(Q){return this.onUndeclaredKey({rule:Q,deep:!0})}satisfying(Q){return this.constrain("predicate",Q)}divisibleBy(Q){return this.constrain("divisor",Q)}matching(Q){return this.constrain("pattern",Q)}atLeast(Q){return this.constrain("min",Q)}atMost(Q){return this.constrain("max",Q)}moreThan(Q){return this.constrain("min",cK(Q))}lessThan(Q){return this.constrain("max",cK(Q))}atLeastLength(Q){return this.constrain("minLength",Q)}atMostLength(Q){return this.constrain("maxLength",Q)}moreThanLength(Q){return this.constrain("minLength",cK(Q))}lessThanLength(Q){return this.constrain("maxLength",cK(Q))}exactlyLength(Q){return this.constrain("exactLength",Q)}atOrAfter(Q){return this.constrain("after",Q)}atOrBefore(Q){return this.constrain("before",Q)}laterThan(Q){return this.constrain("after",cK(Q))}earlierThan(Q){return this.constrain("before",cK(Q))}}var ps0="Expected a non-empty brand name after #",cK=(Q)=>typeof Q==="object"&&!(Q instanceof Date)?{...Q,exclusive:!0}:{rule:Q,exclusive:!0},GU=(Q,J)=>Q8(J,"root")?Q8(Q,"root")?Q.extends(J):J.allows(Q):Q8(Q,"root")?Q.hasUnit(J):J===Q,DB0=(Q)=>{if(Q.hasKind("morph"))return null;if(Q.hasKind("intersection"))return Q.inner.structure??(Q.basis?.domain==="object"?Q.$.bindReference(NQ.intrinsic.emptyStructure):null);if(Q.isBasis()&&Q.domain==="object")return Q.$.bindReference(NQ.intrinsic.emptyStructure);return null},ls0=(Q)=>`Props cannot be extracted from a union. Use .distribute to extract props from each branch instead. Received:
${Q}`,MB0=(Q,J)=>`${Q} operand must be an object (was ${J})`;var FW=(Q,J)=>r8($P(Q),(G,H)=>[H,J]);var ds0=(Q)=>typeof Q==="string"?{reference:Q}:Q,LB0=(Q)=>Q instanceof _Q?NQ.intrinsic.never.internal:Q,cs0=u8({kind:"alias",hasAssociatedError:!1,collapsibleKey:"reference",keys:{reference:{serialize:(Q)=>Q.startsWith("$")?Q:`$ark.${Q}`},resolve:{}},normalize:ds0,defaults:{description:(Q)=>Q.reference},intersections:{alias:(Q,J,G)=>G.$.lazilyResolve(()=>LB0(M9(Q.resolution,J.resolution,G)),`${Q.reference}${G.pipe?"=>":"&"}${J.reference}`),...FW("alias",(Q,J,G)=>{if(J.isUnknown())return Q;if(J.isNever())return J;return G.$.lazilyResolve(()=>LB0(M9(Q.resolution,J,G)),`${Q.reference}${G.pipe?"=>":"&"}${J.id}`)})}});class OB0 extends yY{expression=this.reference;structure=void 0;get resolution(){let Q=this._resolve();return VJ[this.id]=Q}_resolve(){if(this.resolve)return this.resolve();if(this.reference[0]==="$")return this.$.resolveRoot(this.reference.slice(1));let Q=this.reference,J=VJ[Q],G=[];while(Q8(J,"context")){if(G.includes(J.id))return zQ(is0(J.id,G));G.push(J.id),J=VJ[J.id]}if(!Q8(J,"root"))return i6(`Unexpected resolution for reference ${this.reference}
Seen: [${G.join("->")}] 
Resolution: ${n8(J)}`);return J}get resolutionId(){if(this.reference.includes("&")||this.reference.includes("=>"))return this.resolution.id;if(this.reference[0]!=="$")return this.reference;let Q=this.reference.slice(1),J=this.$.resolutions[Q];if(typeof J==="string")return J;if(Q8(J,"root"))return J.id;return i6(`Unexpected resolution for reference ${this.reference}: ${n8(J)}`)}get shortDescription(){return TY.object}innerToJsonSchema(){return zQ(t30(this.expression))}traverseAllows=(Q,J)=>{let G=J.seen[this.reference];if(G?.includes(Q))return!0;return J.seen[this.reference]=D6(G,Q),this.resolution.traverseAllows(Q,J)};traverseApply=(Q,J)=>{let G=J.seen[this.reference];if(G?.includes(Q))return;J.seen[this.reference]=D6(G,Q),this.resolution.traverseApply(Q,J)};compile(Q){let J=this.resolutionId;Q.if(`ctx.seen.${J} && ctx.seen.${J}.includes(data)`,()=>Q.return(!0)),Q.if(`!ctx.seen.${J}`,()=>Q.line(`ctx.seen.${J} = []`)),Q.line(`ctx.seen.${J}.push(data)`),Q.return(Q.invoke(J))}}var is0=(Q,J)=>`Alias '${Q}' has a shallow resolution cycle: ${[...J,Q].join("->")}`,WU={implementation:cs0,Node:OB0};class U3 extends yY{traverseApply=(Q,J)=>{if(!this.traverseAllows(Q,J))J.error(this.errorContext)};get errorContext(){return{code:this.kind,description:this.description,...this.inner}}get compiledErrorContext(){return w4(this.errorContext)}compile(Q){if(Q.traversalKind==="Allows")Q.return(this.compiledCondition);else Q.if(this.compiledNegation,()=>Q.line(`${Q.ctx}.error(${this.compiledErrorContext})`))}}var os0=u8({kind:"domain",hasAssociatedError:!0,collapsibleKey:"domain",keys:{domain:{}},normalize:(Q)=>typeof Q==="string"?{domain:Q}:Q,defaults:{description:(Q)=>TY[Q.domain],actual:(Q)=>TY[zJ(Q)]},intersections:{domain:(Q,J)=>_Q.init("domain",Q,J)}});class PB0 extends U3{traverseAllows=(Q)=>zJ(Q)===this.domain;compiledCondition=this.domain==="object"?'((typeof data === "object" && data !== null) || typeof data === "function")':`typeof data === "${this.domain}"`;compiledNegation=this.domain==="object"?'((typeof data !== "object" || data === null) && typeof data !== "function")':`typeof data !== "${this.domain}"`;expression=this.domain;get shortDescription(){return TY[this.domain]}innerToJsonSchema(){if(this.domain==="bigint"||this.domain==="symbol")return zQ(x9(this.domain));return{type:this.domain}}}var dk={implementation:os0,Node:PB0};var ns0=u8({kind:"intersection",hasAssociatedError:!0,normalize:(Q)=>{if(C9(Q))return Q;let{structure:J,...G}=Q,H=!!J,K=J??{},z=r8(G,(q,F)=>{if(ZX(q,p30)){if(H)zQ(`Flattened structure key ${q} cannot be specified alongside a root 'structure' key.`);return K[q]=F,[]}return[q,F]});if(Q8(K,"constraint")||!UG(K))z.structure=K;return z},finalizeInnerJson:({structure:Q,...J})=>xJ(Q,"object")?{...Q,...J}:J,keys:{domain:{child:!0,parse:(Q,J)=>J.$.node("domain",Q)},proto:{child:!0,parse:(Q,J)=>J.$.node("proto",Q)},structure:{child:!0,parse:(Q,J)=>J.$.node("structure",Q),serialize:(Q)=>{if(!Q.sequence?.minLength)return Q.collapsibleJson;let{sequence:J,...G}=Q.collapsibleJson,{minVariadicLength:H,...K}=J,z=K.variadic&&Object.keys(K).length===1?K.variadic:K;return{...G,sequence:z}}},divisor:{child:!0,parse:_X("divisor")},max:{child:!0,parse:_X("max")},min:{child:!0,parse:_X("min")},maxLength:{child:!0,parse:_X("maxLength")},minLength:{child:!0,parse:_X("minLength")},exactLength:{child:!0,parse:_X("exactLength")},before:{child:!0,parse:_X("before")},after:{child:!0,parse:_X("after")},pattern:{child:!0,parse:_X("pattern")},predicate:{child:!0,parse:_X("predicate")}},reduce:(Q,J)=>NP({},Q,{$:J,invert:!1,pipe:!1}),defaults:{description:(Q)=>Q.children.length===0?"unknown":Q.structure?.description??Q.children.map((J)=>J.description).join(" and "),expected:(Q)=>`  • ${Q.errors.map((J)=>J.expected).join(`
  • `)}`,problem:(Q)=>`(${Q.actual}) must be...
${Q.expected}`},intersections:{intersection:(Q,J,G)=>NP(Q,J,G),...FW("intersection",(Q,J,G)=>{if(Q.children.length===0)return J;let{domain:H,proto:K,...z}=Q.inner,q=K??H,F=q?M9(q,J,G):J;return F instanceof _Q?F:Q?.basis?.equals(F)?Q:Q.$.node("intersection",{...z,[F.kind]:F},{prereduced:!0})})}});class NB0 extends yY{basis=this.domain??this.proto??null;refinements=this.children.filter((Q)=>Q.isRefinement());get expression(){let Q=this.structure?.expression||`${this.basis?this.basis.nestableExpression+" ":""}${this.refinements.join(" & ")}`||"unknown";if(Q==="Array == 0")Q="[]";return this.cacheGetter("expression",Q)}get shortDescription(){return this.basis?.shortDescription??"present"}innerToJsonSchema(){return this.children.reduce((Q,J)=>J.isBasis()?J.toJsonSchema():J.reduceJsonSchema(Q),{})}traverseAllows=(Q,J)=>this.children.every((G)=>G.traverseAllows(Q,J));traverseApply=(Q,J)=>{let G=J.currentErrorCount;if(this.basis){if(this.basis.traverseApply(Q,J),J.currentErrorCount>G)return}if(this.refinements.length){for(let H=0;H<this.refinements.length-1;H++)if(this.refinements[H].traverseApply(Q,J),J.failFast&&J.currentErrorCount>G)return;if(this.refinements.at(-1).traverseApply(Q,J),J.currentErrorCount>G)return}if(this.structure){if(this.structure.traverseApply(Q,J),J.currentErrorCount>G)return}if(this.predicate){for(let H=0;H<this.predicate.length-1;H++)if(this.predicate[H].traverseApply(Q,J),J.failFast&&J.currentErrorCount>G)return;this.predicate.at(-1).traverseApply(Q,J)}};compile(Q){if(Q.traversalKind==="Allows"){this.children.forEach((J)=>Q.check(J)),Q.return(!0);return}if(Q.initializeErrorCount(),this.basis){if(Q.check(this.basis),this.children.length>1)Q.returnIfFail()}if(this.refinements.length){for(let J=0;J<this.refinements.length-1;J++)Q.check(this.refinements[J]),Q.returnIfFailFast();if(Q.check(this.refinements.at(-1)),this.structure||this.predicate)Q.returnIfFail()}if(this.structure){if(Q.check(this.structure),this.predicate)Q.returnIfFail()}if(this.predicate){for(let J=0;J<this.predicate.length-1;J++)Q.check(this.predicate[J]),Q.returnIfFail();Q.check(this.predicate.at(-1))}}}var ck={implementation:ns0,Node:NB0},NP=(Q,J,G)=>{if(Q8(Q,"root")&&Q.hasKind("intersection"))return NP(Q.inner,J,G);if(Q8(J,"root")&&J.hasKind("intersection"))return NP(Q,J.inner,G);let H={},K=Q.proto??Q.domain,z=J.proto??J.domain,q=K?z?M9(K,z,G):K:z;if(q instanceof _Q)return q;if(q)H[q.kind]=q;return uK({kind:"intersection",baseInner:H,l:pK(Q),r:pK(J),roots:[],ctx:G})};var as0=u8({kind:"morph",hasAssociatedError:!1,keys:{in:{child:!0,parse:(Q,J)=>J.$.parseSchema(Q)},morphs:{parse:kK,serialize:(Q)=>Q.map((J)=>Q8(J,"root")?J.json:j7(J))},declaredIn:{child:!1,serialize:(Q)=>Q.json},declaredOut:{child:!1,serialize:(Q)=>Q.json}},normalize:(Q)=>Q,defaults:{description:(Q)=>`a morph from ${Q.in.description} to ${Q.out?.description??"unknown"}`},intersections:{morph:(Q,J,G)=>{if(!Q.hasEqualMorphs(J))return zQ(ss0(Q.expression,J.expression));let H=M9(Q.in,J.in,G);if(H instanceof _Q)return H;let K={morphs:Q.morphs};if(Q.declaredIn||J.declaredIn){let z=M9(Q.in,J.in,G);if(z instanceof _Q)return z.throw();else K.declaredIn=z}if(Q.declaredOut||J.declaredOut){let z=M9(Q.out,J.out,G);if(z instanceof _Q)return z.throw();else K.declaredOut=z}return H.distribute((z)=>G.$.node("morph",{...K,in:z}),G.$.parseSchema)},...FW("morph",(Q,J,G)=>{let H=Q.inner.in?M9(Q.inner.in,J,G):J;return H instanceof _Q?H:H.equals(Q.inner.in)?Q:G.$.node("morph",{...Q.inner,in:H})})}});class jB0 extends yY{serializedMorphs=this.morphs.map(j7);compiledMorphs=`[${this.serializedMorphs}]`;lastMorph=this.inner.morphs.at(-1);lastMorphIfNode=Q8(this.lastMorph,"root")?this.lastMorph:void 0;introspectableIn=this.inner.in;introspectableOut=this.lastMorphIfNode?Object.assign(this.referencesById,this.lastMorphIfNode.referencesById)&&this.lastMorphIfNode.out:void 0;get in(){return this.declaredIn??this.inner.in?.in??NQ.intrinsic.unknown.internal}get out(){return this.declaredOut??this.introspectableOut??NQ.intrinsic.unknown.internal}declareIn(Q){return this.$.node("morph",{...this.inner,declaredIn:Q})}declareOut(Q){return this.$.node("morph",{...this.inner,declaredOut:Q})}expression=`(In: ${this.in.expression}) => Out<${this.out.expression}>`;get shortDescription(){return this.in.shortDescription}innerToJsonSchema(){return zQ(r30(this.expression))}compile(Q){if(Q.traversalKind==="Allows"){if(!this.introspectableIn)return;Q.return(Q.invoke(this.introspectableIn));return}if(this.introspectableIn)Q.line(Q.invoke(this.introspectableIn));Q.line(`ctx.queueMorphs(${this.compiledMorphs})`)}traverseAllows=(Q,J)=>!this.introspectableIn||this.introspectableIn.traverseAllows(Q,J);traverseApply=(Q,J)=>{if(this.introspectableIn)this.introspectableIn.traverseApply(Q,J);J.queueMorphs(this.morphs)};hasEqualMorphs(Q){return yK(this.morphs,Q.morphs,{isEqual:(J,G)=>J===G||Q8(J,"root")&&Q8(G,"root")&&J.equals(G)})}}var ik={implementation:as0,Node:jB0},ss0=(Q,J)=>`The intersection of distinct morphs at a single path is indeterminate:
Left: ${Q}
Right: ${J}`;var rs0=u8({kind:"proto",hasAssociatedError:!0,collapsibleKey:"proto",keys:{proto:{serialize:(Q)=>oq(Q)??K5(Q)}},normalize:(Q)=>typeof Q==="string"?{proto:H3[Q]}:typeof Q==="function"?C9(Q)?Q:{proto:Q}:typeof Q.proto==="string"?{...Q,proto:H3[Q.proto]}:Q,defaults:{description:(Q)=>Q.builtinName?M30[Q.builtinName]:`an instance of ${Q.proto.name}`,actual:(Q)=>iq(Q)},intersections:{proto:(Q,J)=>Zk(Q.proto,J.proto)?Q:Zk(J.proto,Q.proto)?J:_Q.init("proto",Q,J),domain:(Q,J)=>J.domain==="object"?Q:_Q.init("domain",NQ.intrinsic.object.internal,J)}});class CB0 extends U3{builtinName=oq(this.proto);serializedConstructor=this.json.proto;compiledCondition=`data instanceof ${this.serializedConstructor}`;compiledNegation=`!(${this.compiledCondition})`;innerToJsonSchema(){switch(this.builtinName){case"Array":return{type:"array"};default:return zQ(x9(this.description))}}traverseAllows=(Q)=>Q instanceof this.proto;expression=this.proto.name;domain="object";get shortDescription(){return this.description}}var ok={implementation:rs0,Node:CB0};var ts0=u8({kind:"union",hasAssociatedError:!0,collapsibleKey:"branches",keys:{ordered:{},branches:{child:!0,parse:(Q,J)=>{let G=[];if(Q.forEach((H)=>{(Q8(H,"root")?H.branches:J.$.parseSchema(H).branches).forEach((z)=>{if(z.hasKind("morph")){let q=G.findIndex((F)=>F.hasKind("morph")&&F.hasEqualMorphs(z));if(q===-1)G.push(z);else{let F=G[q];G[q]=J.$.node("morph",{...F.inner,in:F.in.rawOr(z.in)})}}else G.push(z)})}),!J.def.ordered)G.sort((H,K)=>H.hash<K.hash?-1:1);return G}}},normalize:(Q)=>V9(Q)?{branches:Q}:Q,reduce:(Q,J)=>{let G=Gr0(Q);if(G.length===1)return G[0];if(G.length===Q.branches.length)return;return J.node("union",{...Q,branches:G},{prereduced:!0})},defaults:{description:(Q)=>Q.distribute((J)=>J.description,iK),expected:(Q)=>{let J=WP(Q.errors,"propString"),G=Object.entries(J).map(([H,K])=>{let z=[];K.forEach((D)=>H5(z,D.expected));let q=iK(z),F=K.every((D)=>D.actual===K[0].actual)?K[0].actual:n8(K[0].data);return`${H&&`${H} `}must be ${q}${F&&` (was ${F})`}`});return iK(G)},problem:(Q)=>Q.expected,message:(Q)=>Q.problem},intersections:{union:(Q,J,G)=>{if(Q.isNever!==J.isNever)return _Q.init("presence",Q,J);let H;if(Q.ordered){if(J.ordered)zQ(Ar0(Q.expression,J.expression));if(H=nk(J.branches,Q.branches,G),H instanceof _Q)H.invert()}else H=nk(Q.branches,J.branches,G);if(H instanceof _Q)return H;return G.$.parseSchema(Q.ordered||J.ordered?{branches:H,ordered:!0}:{branches:H})},...FW("union",(Q,J,G)=>{let H=nk(Q.branches,[J],G);if(H instanceof _Q)return H;if(H.length===1)return H[0];return G.$.parseSchema(Q.ordered?{branches:H,ordered:!0}:{branches:H})})}});class IB0 extends yY{isBoolean=this.branches.length===2&&this.branches[0].hasUnit(!1)&&this.branches[1].hasUnit(!0);get branchGroups(){let Q=[],J=-1;return this.branches.forEach((G)=>{if(G.hasKind("unit")&&G.domain==="boolean"){if(J===-1)J=Q.length,Q.push(G);else Q[J]=NQ.intrinsic.boolean;return}Q.push(G)}),Q}unitBranches=this.branches.filter((Q)=>Q.in.hasKind("unit"));discriminant=this.discriminate();discriminantJson=this.discriminant?Xr0(this.discriminant):null;expression=this.distribute((Q)=>Q.nestableExpression,Yr0);get shortDescription(){return this.distribute((Q)=>Q.shortDescription,iK)}innerToJsonSchema(){return{anyOf:this.branchGroups.map((Q)=>Q.equals(NQ.intrinsic.boolean)?{type:"boolean"}:Q.toJsonSchema())}}traverseAllows=(Q,J)=>this.branches.some((G)=>G.traverseAllows(Q,J));traverseApply=(Q,J)=>{let G=[];for(let H=0;H<this.branches.length;H++){if(J.pushBranch(),this.branches[H].traverseApply(Q,J),!J.hasError()){if(this.branches[H].includesMorph)return J.queuedMorphs.push(...J.popBranch().queuedMorphs);return J.popBranch()}G.push(J.popBranch().error)}J.error({code:"union",errors:G})};compile(Q){if(!this.discriminant||this.unitBranches.length===this.branches.length&&this.branches.length===2)return this.compileIndiscriminable(Q);let J=this.discriminant.optionallyChainedPropString;if(this.discriminant.kind==="domain")J=`typeof ${J} === "object" ? ${J} === null ? "null" : "object" : typeof ${J} === "function" ? "object" : typeof ${J}`;let G=this.discriminant.cases,H=Object.keys(G);if(Q.block(`switch(${J})`,()=>{for(let D in G){let V=G[D],O=D==="default"?D:`case ${D}`;Q.line(`${O}: return ${V===!0?V:Q.invoke(V)}`)}return Q}),Q.traversalKind==="Allows"){Q.return(!1);return}let K=iK(this.discriminant.kind==="domain"?H.map((D)=>{let V=D.slice(1,-1);return V==="function"?TY.object:TY[V]}):H),z=this.discriminant.path.map((D)=>typeof D==="string"?JSON.stringify(D):j7(D)),q=JSON.stringify(K),F=this.discriminant.kind==="domain"?`${es0}[${J}]`:`${Qr0}(${J})`;Q.line(`ctx.error({
	expected: ${q},
	actual: ${F},
	relativePath: [${z}]
})`)}compileIndiscriminable(Q){if(Q.traversalKind==="Apply")Q.const("errors","[]"),this.branches.forEach((J)=>Q.line("ctx.pushBranch()").line(Q.invoke(J)).if("!ctx.hasError()",()=>Q.return(J.includesMorph?"ctx.queuedMorphs.push(...ctx.popBranch().queuedMorphs)":"ctx.popBranch()")).line("errors.push(ctx.popBranch().error)")),Q.line('ctx.error({ code: "union", errors })');else this.branches.forEach((J)=>Q.if(`${Q.invoke(J)}`,()=>Q.return(!0))),Q.return(!1)}get nestableExpression(){return this.isBoolean?"boolean":`(${this.expression})`}discriminate(){if(this.branches.length<2)return null;if(this.unitBranches.length===this.branches.length){let z=r8(this.unitBranches,(q,F)=>[`${F.in.serializedValue}`,F.hasKind("morph")?F:!0]);return{kind:"unit",path:[],optionallyChainedPropString:"data",cases:z}}let Q=[];for(let z=0;z<this.branches.length-1;z++){let q=this.branches[z];for(let F=z+1;F<this.branches.length;F++){let D=this.branches[F],V=HY(q.in,D.in,q.$);if(!(V instanceof _Q))continue;for(let O of V){if(!O.kind||O.optional)continue;let P,N;if(O.kind==="domain"){let{l:R,r:w}=O;P=`"${typeof R==="string"?R:R.domain}"`,N=`"${typeof w==="string"?w:w.domain}"`}else if(O.kind==="unit")P=O.l.serializedValue,N=O.r.serializedValue;else continue;let I=Q.find((R)=>yK(R.path,O.path)&&R.kind===O.kind);if(!I)Q.push({kind:O.kind,cases:{[P]:[q],[N]:[D]},path:O.path});else I.cases[P]=H5(I.cases[P],q),I.cases[N]=H5(I.cases[N],D)}}}let J=Q.sort((z,q)=>Object.keys(z.cases).length-Object.keys(q.cases).length).at(-1);if(!J)return null;let G=[...this.branches],H={kind:J.kind,path:J.path,optionallyChainedPropString:RB0(J.path)},K=r8(J.cases,(z,q)=>{let F=[];G=G.filter((V)=>!q.includes(V));for(let V of q){let O=Hr0(V,H);if(O===null)return[z,!0];F.push(O)}let D=F.length===1?F[0]:this.$.node("union",F);return Object.assign(this.referencesById,D.referencesById),[z,D]});if(G.length)K.default=this.$.node("union",G,{prereduced:!0}),Object.assign(this.referencesById,K.default.referencesById);return Object.assign(H,{cases:K})}}var RB0=(Q)=>Q.reduce((J,G)=>J+jk(G,!0),"data"),es0=j7($30),Qr0=j7(n8),ak={implementation:ts0,Node:IB0},Xr0=(Q)=>({kind:Q.kind,path:Q.path.map((J)=>typeof J==="string"?J:A5(J)),cases:r8(Q.cases,(J,G)=>[J,G===!0?G:G.hasKind("union")&&G.discriminantJson?G.discriminantJson:G.json])}),Jr0={delimiter:" | ",finalDelimiter:" | "},Yr0=(Q)=>iK(Q,Jr0),iK=(Q,J)=>{let G=J?.delimiter??", ",H=J?.finalDelimiter??" or ";if(Q.length===0)return"never";if(Q.length===1)return Q[0];if(Q.length===2&&Q[0]==="false"&&Q[1]==="true"||Q[0]==="true"&&Q[1]==="false")return"boolean";let K={},z=Q.filter((F)=>K[F]?!1:K[F]=!0),q=z.pop();return`${z.join(G)}${z.length?H:""}${q}`},nk=(Q,J,G)=>{let H=J.map(()=>[]);for(let z=0;z<Q.length;z++){let q={};for(let F=0;F<J.length;F++){if(H[F]===null)continue;if(Q[z].equals(J[F])){H[F]=null,q={};break}let D=M9(Q[z],J[F],G);if(D instanceof _Q)continue;if(D.equals(Q[z])){H[F].push(Q[z]),q={};break}if(D.equals(J[F]))H[F]=null;else q[F]=D}for(let F in q)H[F][z]=q[F]}let K=H.flatMap((z,q)=>z?.flatMap((F)=>F.branches)??J[q]);return K.length===0?_Q.init("union",Q,J):K},Gr0=({branches:Q,ordered:J})=>{if(Q.length<2)return Q;let G=Q.map(()=>!0);for(let H=0;H<Q.length;H++)for(let K=H+1;K<Q.length&&G[H]&&G[K];K++){if(Q[H].equals(Q[K])){G[K]=!1;continue}let z=HY(Q[H].in,Q[K].in,Q[0].$);if(z instanceof _Q)continue;if(!J)Wr0(Q[H],Q[K]);if(z.equals(Q[H].in))G[H]=!!J;else if(z.equals(Q[K].in))G[K]=!1}return Q.filter((H,K)=>G[K])},Wr0=(Q,J)=>{if((Q.includesMorph||J.includesMorph)&&(!yK(Q.shallowMorphs,J.shallowMorphs,{isEqual:(G,H)=>G.hasEqualMorphs(H)})||!yK(Q.flatMorphs,J.flatMorphs,{isEqual:(G,H)=>G.propString===H.propString&&G.node.hasEqualMorphs(H.node)})))zQ(Br0(Q.expression,J.expression))},Hr0=(Q,J)=>Q.transform((G,H)=>{if(G==="domain"||G==="unit")return null;return H},{shouldTransform:(G,H)=>{let K=RB0(H.path);if(!J.optionallyChainedPropString.startsWith(K))return!1;if(G.hasKind("domain")&&G.domain==="object")return!0;if((G.hasKind("domain")||J.kind==="unit")&&K===J.optionallyChainedPropString)return!0;return G.children.length!==0&&G.kind!=="index"}}),Br0=(Q,J)=>`An unordered union of a type including a morph and a type with overlapping input is indeterminate:
Left: ${Q}
Right: ${J}`,Ar0=(Q,J)=>`The intersection of two ordered unions is indeterminate:
Left: ${Q}
Right: ${J}`;var Kr0=u8({kind:"unit",hasAssociatedError:!0,keys:{unit:{preserveUndefined:!0,serialize:(Q)=>Q instanceof Date?Q.toISOString():K5(Q)}},normalize:(Q)=>Q,defaults:{description:(Q)=>n8(Q.unit),problem:({expected:Q,actual:J})=>`${Q===J?`must be reference equal to ${Q} (serialized to the same value)`:`must be ${Q} (was ${J})`}`},intersections:{unit:(Q,J)=>_Q.init("unit",Q,J),...FW("unit",(Q,J)=>{if(J.allows(Q.unit))return Q;let G=J.hasKind("intersection")?J.basis:J;if(G){let H=G.hasKind("domain")?G:NQ.intrinsic.object;if(Q.domain!==H.domain){let K=Q.domain==="undefined"||Q.domain==="null"||Q.domain==="boolean"?Q.domain:NQ.intrinsic[Q.domain];return _Q.init("domain",K,H)}}return _Q.init("assignability",Q,J.hasKind("intersection")?J.children.find((H)=>!H.allows(Q.unit)):J)})}});class EB0 extends U3{compiledValue=this.json.unit;serializedValue=typeof this.unit==="string"||this.unit instanceof Date?JSON.stringify(this.compiledValue):`${this.compiledValue}`;compiledCondition=wB0(this.unit,this.serializedValue);compiledNegation=wB0(this.unit,this.serializedValue,"negated");expression=n8(this.unit);domain=zJ(this.unit);get shortDescription(){return this.domain==="object"?TY.object:this.description}innerToJsonSchema(){return NQ.intrinsic.jsonPrimitive.allows(this.unit)?{const:this.unit}:zQ(x9(this.shortDescription))}traverseAllows=this.unit instanceof Date?(Q)=>Q instanceof Date&&Q.toISOString()===this.compiledValue:Number.isNaN(this.unit)?(Q)=>Number.isNaN(Q):(Q)=>Q===this.unit}var sk={implementation:Kr0,Node:EB0},wB0=(Q,J,G)=>{if(Q instanceof Date){let H=`data instanceof Date && data.toISOString() === ${J}`;return G?`!(${H})`:H}if(Number.isNaN(Q))return`${G?"!":""}Number.isNaN(data)`;return`data ${G?"!":"="}== ${J}`};var zr0=u8({kind:"index",hasAssociatedError:!1,intersectionIsOpen:!0,keys:{signature:{child:!0,parse:(Q,J)=>{let G=J.$.parseSchema(Q);if(!G.extends(NQ.intrinsic.key))return zQ(qr0(G.expression));let H=G.branches.filter((K)=>K.hasKind("unit"));if(H.length)return zQ(Vr0(H.map((K)=>n8(K.unit))));return G}},value:{child:!0,parse:(Q,J)=>J.$.parseSchema(Q)}},normalize:(Q)=>Q,defaults:{description:(Q)=>`[${Q.signature.expression}]: ${Q.value.description}`},intersections:{index:(Q,J,G)=>{if(Q.signature.equals(J.signature)){let H=M9(Q.value,J.value,G),K=H instanceof _Q?NQ.intrinsic.never.internal:H;return G.$.node("index",{signature:Q.signature,value:K})}if(Q.signature.extends(J.signature)&&Q.value.subsumes(J.value))return J;if(J.signature.extends(Q.signature)&&J.value.subsumes(Q.value))return Q;return null}}});class SB0 extends kY{impliedBasis=NQ.intrinsic.object.internal;expression=`[${this.signature.expression}]: ${this.value.expression}`;traverseAllows=(Q,J)=>dq(Q).every((G)=>{if(this.signature.traverseAllows(G[0],J))return hJ(G[0],()=>this.value.traverseAllows(G[1],J),J);return!0});traverseApply=(Q,J)=>dq(Q).forEach((G)=>{if(this.signature.traverseAllows(G[0],J))hJ(G[0],()=>this.value.traverseApply(G[1],J),J)});_transform(Q,J){J.path.push(this.signature);let G=super._transform(Q,J);return J.path.pop(),G}get flatRefs(){return D6(this.value.flatRefs.map((Q)=>$G([this.signature,...Q.path],Q.node)),$G([this.signature],this.value))}compile(){}}var rk={implementation:zr0,Node:SB0},Vr0=(Q)=>`Index keys ${Q.join(", ")} should be specified as named props.`,qr0=(Q)=>`Indexed key definition '${Q}' must be a string or symbol`;var Ur0=u8({kind:"required",hasAssociatedError:!0,intersectionIsOpen:!0,keys:{key:{},value:{child:!0,parse:(Q,J)=>J.$.parseSchema(Q)}},normalize:(Q)=>Q,defaults:{description:(Q)=>`${Q.compiledKey}: ${Q.value.description}`,expected:(Q)=>Q.missingValueDescription,actual:()=>"missing"},intersections:{required:QU,optional:QU}});class TB0 extends XU{expression=`${this.compiledKey}: 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Q||"prefix"in Q||"defaultables"in Q||"optionals"in Q||"postfix"in Q||"minVariadicLength"in Q){if(Q.postfix?.length){if(!Q.variadic)return zQ(Fr0);if(Q.optionals?.length||Q.defaultables?.length)return zQ(Av)}if(Q.minVariadicLength&&!Q.variadic)return zQ("minVariadicLength may not be specified without a variadic element");return Q}return{variadic:Q}},reduce:(Q,J)=>{let G=Q.minVariadicLength??0,H=Q.prefix?.slice()??[],K=Q.defaultables?.slice()??[],z=Q.optionals?.slice()??[],q=Q.postfix?.slice()??[];if(Q.variadic){while(z.at(-1)?.equals(Q.variadic))z.pop();if(z.length===0&&K.length===0)while(H.at(-1)?.equals(Q.variadic))H.pop(),G++;while(q[0]?.equals(Q.variadic))q.shift(),G++}else if(z.length===0&&K.length===0)H.push(...q.splice(0));if(G!==Q.minVariadicLength||Q.prefix&&Q.prefix.length!==H.length)return J.node("sequence",{...Q,prefix:H,defaultables:K,optionals:z,postfix:q,minVariadicLength:G},{prereduced:!0})},defaults:{description:(Q)=>{if(Q.isVariadicOnly)return`${Q.variadic.nestableExpression}[]`;return`[${Q.tuple.map((G)=>G.kind==="defaultables"?`${G.node.nestableExpression} = ${n8(G.default)}`:G.kind==="optionals"?`${G.node.nestableExpression}?`:G.kind==="variadic"?`...${G.node.nestableExpression}[]`:G.node.expression).join(", ")}]`}},intersections:{sequence:(Q,J,G)=>{let H=HU({l:Q.tuple,r:J.tuple,disjoint:new _Q,result:[],fixedVariants:[],ctx:G}),K=H.disjoint.length===0?[H,...H.fixedVariants]:H.fixedVariants;return K.length===0?H.disjoint:K.length===1?G.$.node("sequence",kB0(K[0].result)):G.$.node("union",K.map((z)=>({proto:Array,sequence:kB0(z.result)})))}}});class yB0 extends kY{impliedBasis=NQ.intrinsic.Array.internal;tuple=Zr0(this.inner);prefixLength=this.prefix?.length??0;defaultablesLength=this.defaultables?.length??0;optionalsLength=this.optionals?.length??0;postfixLength=this.postfix?.length??0;prevariadic=this.tuple.filter((Q)=>Q.kind==="prefix"||Q.kind==="defaultables"||Q.kind==="optionals");variadicOrPostfix=j4(this.variadic&&[this.variadic],this.postfix);isVariadicOnly=this.prevariadic.length+this.postfixLength===0;minVariadicLength=this.inner.minVariadicLength??0;minLength=this.prefixLength+this.minVariadicLength+this.postfixLength;minLengthNode=this.minLength===0?null:this.$.node("minLength",this.minLength);maxLength=this.variadic?null:this.tuple.length;maxLengthNode=this.maxLength===null?null:this.$.node("maxLength",this.maxLength);impliedSiblings=this.minLengthNode?this.maxLengthNode?[this.minLengthNode,this.maxLengthNode]:[this.minLengthNode]:this.maxLengthNode?[this.maxLengthNode]:[];defaultValueMorphs=this.defaultables?.map(([Q,J],G)=>lk(this.prefixLength+G,Q,J))??[];defaultValueMorphsReference=j7(this.defaultValueMorphs);elementAtIndex(Q,J){if(J<this.prevariadic.length)return this.tuple[J];let G=Q.length-this.postfixLength;if(J>=G)return{kind:"postfix",node:this.postfix[J-G]};return{kind:"variadic",node:this.variadic??i6(`Unexpected attempt to access index ${J} on ${this}`)}}traverseAllows=(Q,J)=>{for(let G=0;G<Q.length;G++)if(!this.elementAtIndex(Q,G).node.traverseAllows(Q[G],J))return!1;return!0};traverseApply=(Q,J)=>{let G=0;for(;G<Q.length;G++)hJ(G,()=>this.elementAtIndex(Q,G).node.traverseApply(Q[G],J),J);for(;G<this.prefixLength+this.defaultablesLength;G++)J.queueMorphs(this.defaultValueMorphs[G-this.prefixLength])};get flatRefs(){let Q=[];return fK(Q,this.prevariadic.flatMap((J,G)=>D6(J.node.flatRefs.map((H)=>$G([`${G}`,...H.path],H.node)),$G([`${G}`],J.node)))),fK(Q,this.variadicOrPostfix.flatMap((J)=>D6(J.flatRefs.map((G)=>$G([NQ.intrinsic.nonNegativeIntegerString.internal,...G.path],G.node)),$G([NQ.intrinsic.nonNegativeIntegerString.internal],J)))),Q}get element(){return 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J=[];if(Q.prefix?.forEach((G)=>J.push({kind:"prefix",node:G})),Q.defaultables?.forEach(([G,H])=>J.push({kind:"defaultables",node:G,default:H})),Q.optionals?.forEach((G)=>J.push({kind:"optionals",node:G})),Q.variadic)J.push({kind:"variadic",node:Q.variadic});return Q.postfix?.forEach((G)=>J.push({kind:"postfix",node:G})),J},kB0=(Q)=>Q.reduce((J,G)=>{if(G.kind==="variadic")J.variadic=G.node;else if(G.kind==="defaultables")J.defaultables=D6(J.defaultables,[[G.node,G.default]]);else J[G.kind]=D6(J[G.kind],G.node);return J},{}),Av="A postfix required element cannot follow an optional or defaultable element",Fr0="A postfix element requires a variadic element",HU=(Q)=>{let[J,...G]=Q.l,[H,...K]=Q.r;if(!J||!H)return Q;let 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J.sequence?.description??"{}"},Mr0=bB0("description"),Lr0=bB0("expression"),Or0=u8({kind:"structure",hasAssociatedError:!1,normalize:(Q,J)=>{if(!Q.undeclared&&J.resolvedConfig.onUndeclaredKey!=="ignore")return{...Q,undeclared:J.resolvedConfig.onUndeclaredKey};return Q},keys:{required:{child:!0,parse:_X("required"),reduceIo:(Q,J,G)=>{J.required=D6(J.required,G.map((H)=>H[Q]));return}},optional:{child:!0,parse:_X("optional"),reduceIo:(Q,J,G)=>{if(Q==="in"){J.optional=G.map((H)=>H.in);return}G.forEach((H)=>J[H.outProp.kind]=D6(J[H.outProp.kind],H.outProp.out))}},index:{child:!0,parse:_X("index")},sequence:{child:!0,parse:_X("sequence")},undeclared:{parse:(Q)=>Q==="ignore"?void 0:Q}},defaults:{description:Mr0},intersections:{structure:(Q,J,G)=>{let H={...Q.inner},K={...J.inner},z=new _Q;if(Q.undeclared){let D=Q.keyof();if(J.requiredKeys.forEach((V)=>{if(!D.allows(V))z.add("presence",NQ.intrinsic.never.internal,J.propsByKey[V].value,{path:[V]})}),K.optional)K.optional=K.optional.filter((V)=>D.allows(V.key));if(K.index)K.index=K.index.flatMap((V)=>{if(V.signature.extends(D))return V;let O=HY(D,V.signature,G.$);if(O instanceof _Q)return[];let P=jP(O,V.value,G.$);if(P.required)K.required=j4(K.required,P.required);if(P.optional)K.optional=j4(K.optional,P.optional);return P.index??[]})}if(J.undeclared){let D=J.keyof();if(Q.requiredKeys.forEach((V)=>{if(!D.allows(V))z.add("presence",Q.propsByKey[V].value,NQ.intrinsic.never.internal,{path:[V]})}),H.optional)H.optional=H.optional.filter((V)=>D.allows(V.key));if(H.index)H.index=H.index.flatMap((V)=>{if(V.signature.extends(D))return V;let O=HY(D,V.signature,G.$);if(O instanceof _Q)return[];let P=jP(O,V.value,G.$);if(P.required)H.required=j4(H.required,P.required);if(P.optional)H.optional=j4(H.optional,P.optional);return P.index??[]})}let q={};if(Q.undeclared||J.undeclared)q.undeclared=Q.undeclared==="reject"||J.undeclared==="reject"?"reject":"delete";let F=uK({kind:"structure",baseInner:q,l:pK(H),r:pK(K),roots:[],ctx:G});if(F instanceof _Q)z.push(...F);if(z.length)return z;return F}}});class gB0 extends kY{impliedBasis=NQ.intrinsic.object.internal;impliedSiblings=this.children.flatMap((Q)=>Q.impliedSiblings??[]);props=j4(this.required,this.optional);propsByKey=r8(this.props,(Q,J)=>[J.key,J]);propsByKeyReference=j7(this.propsByKey);expression=Lr0(this);requiredKeys=this.required?.map((Q)=>Q.key)??[];optionalKeys=this.optional?.map((Q)=>Q.key)??[];literalKeys=[...this.requiredKeys,...this.optionalKeys];_keyof;keyof(){if(this._keyof)return this._keyof;let Q=this.$.units(this.literalKeys).branches;return this.index?.forEach(({signature:J})=>{Q=Q.concat(J.branches)}),this._keyof=this.$.node("union",Q)}map(Q){return this.$.node("structure",this.props.flatMap(Q).reduce((J,G)=>{let 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Search or pick a preset below to
          add some.</p>`),tv=oQ('<span class="destructive-badge svelte-1arp3cq" title="Destructive heuristic — this command can modify or remove data. Review carefully." aria-label="Destructive command">⚠</span>'),Me0=oQ('<li><!> <code class="svelte-1arp3cq"> </code> <button type="button" class="chip-remove svelte-1arp3cq">×</button></li>'),Le0=oQ('<ul class="chip-list svelte-1arp3cq" aria-label="Allowed commands"></ul>'),Oe0=oQ('<li class="chip stale-chip svelte-1arp3cq" title="Not registered in this vault"><code class="svelte-1arp3cq"> </code> <button type="button" class="chip-remove svelte-1arp3cq">×</button></li>'),Pe0=oQ(`<div class="stale-block svelte-1arp3cq"><div class="stale-header svelte-1arp3cq"><span class="stale-label svelte-1arp3cq"> </span> <span class="stale-hint svelte-1arp3cq">not currently registered in this vault — kept in case the
              plugin is reinstalled</span> <button type="button" class="stale-remove-all svelte-1arp3cq"> </button></div> <ul class="chip-list stale-list svelte-1arp3cq" aria-label="Stale allowed commands"></ul></div>`),Ne0=oQ('<button type="button"> </button>'),je0=oQ('<li class="empty-row svelte-1arp3cq">No commands match your search.</li>'),ZK0=oQ('<li><label class="svelte-1arp3cq"><input type="checkbox"/> <!> <span class="cmd-meta svelte-1arp3cq"><code class="svelte-1arp3cq"> </code> <span class="cmd-name svelte-1arp3cq"> </span></span></label></li>'),Ce0=oQ('<ul class="search-results svelte-1arp3cq" aria-label="Search results"><!></ul>'),Ie0=oQ(`<p class="empty svelte-1arp3cq">No commands were found in the Obsidian command registry.
              Try closing and reopening the settings tab.</p>`),Re0=oQ('<details class="namespace-group svelte-1arp3cq"><summary class="svelte-1arp3cq"><span class="namespace-label svelte-1arp3cq"> </span> <span class="namespace-counter svelte-1arp3cq"> </span></summary> <ul class="cmd-list svelte-1arp3cq"></ul></details>'),we0=oQ('<div class="namespace-list svelte-1arp3cq"></div>'),Ee0=oQ('<details class="browse-all svelte-1arp3cq"><summary class="svelte-1arp3cq"> </summary> <div class="browse-actions svelte-1arp3cq"><button type="button" class="refresh-registry" title="Re-snapshot the Obsidian command registry — useful after installing or uninstalling a plugin while this tab is open.">Refresh registry</button></div> <!></details>'),Se0=oQ('<section class="allowed-section svelte-1arp3cq" aria-labelledby="allowed-heading"><h4 id="allowed-heading" class="svelte-1arp3cq">Currently allowed <span class="counter svelte-1arp3cq"> </span></h4> <!> <!></section> <section class="add-section svelte-1arp3cq" aria-labelledby="add-heading"><h4 id="add-heading" class="svelte-1arp3cq">Add commands</h4> <input type="search" class="search svelte-1arp3cq" placeholder="Search by id or name (Enter adds first match)..." aria-label="Search available commands"/> <div class="presets-row svelte-1arp3cq" aria-label="Quick-add presets"><span class="presets-label svelte-1arp3cq">Quick start:</span> <!></div> <!></section>',1),Te0=oQ(`<p class="empty svelte-1arp3cq">No commands have been requested yet. When the agent calls <code>execute_obsidian_command</code>, each decision will be
        logged here.</p>`),ke0=oQ('<div class="audit-reason svelte-1arp3cq"> </div>'),ye0=oQ('<li><div class="audit-header svelte-1arp3cq"><code class="svelte-1arp3cq"> </code> <span class="audit-decision svelte-1arp3cq"> </span> <span class="audit-time svelte-1arp3cq"> </span></div> <!></li>'),ve0=oQ('<div class="audit-actions svelte-1arp3cq"><button type="button">Export CSV</button></div> <ul class="audit-list svelte-1arp3cq"></ul>',1),xe0=oQ(`<div class="command-permissions-settings svelte-1arp3cq"><h3>Command execution</h3> <p class="description svelte-1arp3cq">Let the MCP agent run Obsidian commands (the entries you see in the
    command palette). This feature is <strong>off by default</strong> — when enabled, only commands on the allowlist below are
    authorized. Everything else is denied and logged. Changes apply
    immediately; no client restart is required.</p> <label class="toggle-row svelte-1arp3cq"><input type="checkbox"/> Enable MCP command execution</label> <!> <details class="advanced svelte-1arp3cq"><summary class="svelte-1arp3cq">Advanced</summary> <div class="advanced-body svelte-1arp3cq"><label class="advanced-field svelte-1arp3cq"><span class="advanced-label svelte-1arp3cq">Soft rate-limit warning threshold <span class="hint svelte-1arp3cq"> </span></span> <input type="number" step="1" aria-label="Soft rate-limit warning threshold (commands per minute)" class="svelte-1arp3cq"/></label> <div class="advanced-field svelte-1arp3cq"><span class="advanced-label svelte-1arp3cq">Import / Export allowlist <span class="hint svelte-1arp3cq">For syncing the allowlist between vaults. Copy returns a
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G=dQ(),H=dQ(),K=dQ(),z=dQ(),q=dQ(),F=dQ(),D=gX(J,"plugin",8),V=dQ(!1),O=dQ([]),P=dQ([]),N=dQ(""),I=dQ(!1),R=dQ(!1),w=dQ([]),E=dQ(void 0),T=dQ(""),y=dQ(null);SY(async()=>{var wQ,lQ,U8,P6,N6;let t9=await D().loadData(),F8=(wQ=t9===null||t9===void 0?void 0:t9.commandPermissions)!==null&&wQ!==void 0?wQ:{};qQ(V,(lQ=F8.enabled)!==null&&lQ!==void 0?lQ:!1),qQ(O,[...(U8=F8.allowlist)!==null&&U8!==void 0?U8:[]]),qQ(P,(P6=F8.recentInvocations)!==null&&P6!==void 0?P6:[]),qQ(N,F8.softRateLimit!==void 0?String(F8.softRateLimit):"");let SX=(N6=D().app.commands)===null||N6===void 0?void 0:N6.commands;if(SX)qQ(E,SX),qQ(w,Object.values(SX).map((B7)=>({id:B7.id,name:B7.name})).sort((B7,f8)=>B7.id.localeCompare(f8.id)));qQ(R,!0)});async function x(){qQ(I,!0);try{await xY.run(async()=>{var wQ,lQ;let U8=(wQ=await D().loadData())!==null&&wQ!==void 0?wQ:{},P6=(lQ=U8.commandPermissions)!==null&&lQ!==void 0?lQ:{},N6=String(c(N)!==null&&c(N)!==void 0?c(N):"").trim(),t9=N6===""?void 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b=pe0(),g=GQ(b,!0);YQ(b),C8(()=>{N9(b,"title",(c(H),FQ(()=>c(H).file))),q8(g,(c(H),FQ(()=>c(H).file)))}),TQ(x,b)};m8(T,(x)=>{if(c(H),FQ(()=>c(H).file))x(y)})}YQ(P),C8((x,b)=>{q8(R,`${x??""}%`),QP(E,`width: ${b??""}%`)},[()=>(c(H),FQ(()=>Math.round(c(H).progress))),()=>(c(H),FQ(()=>Math.max(2,Math.min(100,c(H).progress))))]),TQ(O,P)},V=(O)=>{var P=de0(),N=GQ(P),I=VQ(GQ(N),2);YQ(N);var R=VQ(N,2),w=GQ(R,!0);YQ(R),YQ(P),C8(()=>q8(w,(c(H),FQ(()=>c(H).message)))),N8("click",I,z),TQ(O,P)};m8(F,(O)=>{if(c(H),FQ(()=>c(H).kind==="downloading"))O(D);else if(c(H),FQ(()=>c(H).kind==="error"))O(V,1)})}TQ(Q,q),i7()}var ie0=oQ('<div class="banner info svelte-ndgp4c"> <button type="button" class="banner-action svelte-ndgp4c">Switch</button></div>'),oe0=oQ('<div class="banner warn svelte-ndgp4c"> <button type="button" class="banner-action svelte-ndgp4c">Rebuild now</button></div>'),ne0=oQ(`<fieldset class="svelte-ndgp4c"><legend class="svelte-ndgp4c">Indexing mode (native only)</legend> <label 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this._addCheck({kind:"datetime",precision:null,offset:!1,local:!1,message:Q});return this._addCheck({kind:"datetime",precision:typeof Q?.precision>"u"?null:Q?.precision,offset:Q?.offset??!1,local:Q?.local??!1,...X8.errToObj(Q?.message)})}date(Q){return this._addCheck({kind:"date",message:Q})}time(Q){if(typeof Q==="string")return this._addCheck({kind:"time",precision:null,message:Q});return this._addCheck({kind:"time",precision:typeof Q?.precision>"u"?null:Q?.precision,...X8.errToObj(Q?.message)})}duration(Q){return this._addCheck({kind:"duration",...X8.errToObj(Q)})}regex(Q,J){return this._addCheck({kind:"regex",regex:Q,...X8.errToObj(J)})}includes(Q,J){return this._addCheck({kind:"includes",value:Q,position:J?.position,...X8.errToObj(J?.message)})}startsWith(Q,J){return this._addCheck({kind:"startsWith",value:Q,...X8.errToObj(J)})}endsWith(Q,J){return this._addCheck({kind:"endsWith",value:Q,...X8.errToObj(J)})}min(Q,J){return this._addCheck({kind:"min",value:Q,...X8.errToObj(J)})}max(Q,J){return this._addCheck({kind:"max",value:Q,...X8.errToObj(J)})}length(Q,J){return this._addCheck({kind:"length",value:Q,...X8.errToObj(J)})}nonempty(Q){return this.min(1,X8.errToObj(Q))}trim(){return new D5({...this._def,checks:[...this._def.checks,{kind:"trim"}]})}toLowerCase(){return new D5({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]})}toUpperCase(){return new D5({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}get isDatetime(){return!!this._def.checks.find((Q)=>Q.kind==="datetime")}get isDate(){return!!this._def.checks.find((Q)=>Q.kind==="date")}get isTime(){return!!this._def.checks.find((Q)=>Q.kind==="time")}get isDuration(){return!!this._def.checks.find((Q)=>Q.kind==="duration")}get isEmail(){return!!this._def.checks.find((Q)=>Q.kind==="email")}get isURL(){return!!this._def.checks.find((Q)=>Q.kind==="url")}get isEmoji(){return!!this._def.checks.find((Q)=>Q.kind==="emoji")}get isUUID(){return!!this._def.checks.find((Q)=>Q.kind==="uuid")}get isNANOID(){return!!this._def.checks.find((Q)=>Q.kind==="nanoid")}get isCUID(){return!!this._def.checks.find((Q)=>Q.kind==="cuid")}get isCUID2(){return!!this._def.checks.find((Q)=>Q.kind==="cuid2")}get isULID(){return!!this._def.checks.find((Q)=>Q.kind==="ulid")}get isIP(){return!!this._def.checks.find((Q)=>Q.kind==="ip")}get isCIDR(){return!!this._def.checks.find((Q)=>Q.kind==="cidr")}get isBase64(){return!!this._def.checks.find((Q)=>Q.kind==="base64")}get isBase64url(){return!!this._def.checks.find((Q)=>Q.kind==="base64url")}get minLength(){let Q=null;for(let J of this._def.checks)if(J.kind==="min"){if(Q===null||J.value>Q)Q=J.value}return Q}get maxLength(){let Q=null;for(let J of this._def.checks)if(J.kind==="max"){if(Q===null||J.value<Q)Q=J.value}return Q}}D5.create=(Q)=>{return new D5({checks:[],typeName:CQ.ZodString,coerce:Q?.coerce??!1,...o8(Q)})};function f0Q(Q,J){let G=(Q.toString().split(".")[1]||"").length,H=(J.toString().split(".")[1]||"").length,K=G>H?G:H,z=Number.parseInt(Q.toFixed(K).replace(".","")),q=Number.parseInt(J.toFixed(K).replace(".",""));return z%q/10**K}class Jz extends W6{constructor(){super(...arguments);this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(Q){if(this._def.coerce)Q.data=Number(Q.data);if(this._getType(Q)!==EQ.number){let K=this._getOrReturnCtx(Q);return vQ(K,{code:jQ.invalid_type,expected:EQ.number,received:K.parsedType}),w8}let G=void 0,H=new fX;for(let K of this._def.checks)if(K.kind==="int"){if(!$6.isInteger(Q.data))G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.invalid_type,expected:"integer",received:"float",message:K.message}),H.dirty()}else if(K.kind==="min"){if(K.inclusive?Q.data<K.value:Q.data<=K.value)G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.too_small,minimum:K.value,type:"number",inclusive:K.inclusive,exact:!1,message:K.message}),H.dirty()}else if(K.kind==="max"){if(K.inclusive?Q.data>K.value:Q.data>=K.value)G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.too_big,maximum:K.value,type:"number",inclusive:K.inclusive,exact:!1,message:K.message}),H.dirty()}else if(K.kind==="multipleOf"){if(f0Q(Q.data,K.value)!==0)G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.not_multiple_of,multipleOf:K.value,message:K.message}),H.dirty()}else if(K.kind==="finite"){if(!Number.isFinite(Q.data))G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.not_finite,message:K.message}),H.dirty()}else $6.assertNever(K);return{status:H.value,value:Q.data}}gte(Q,J){return this.setLimit("min",Q,!0,X8.toString(J))}gt(Q,J){return this.setLimit("min",Q,!1,X8.toString(J))}lte(Q,J){return this.setLimit("max",Q,!0,X8.toString(J))}lt(Q,J){return this.setLimit("max",Q,!1,X8.toString(J))}setLimit(Q,J,G,H){return new Jz({...this._def,checks:[...this._def.checks,{kind:Q,value:J,inclusive:G,message:X8.toString(H)}]})}_addCheck(Q){return new Jz({...this._def,checks:[...this._def.checks,Q]})}int(Q){return this._addCheck({kind:"int",message:X8.toString(Q)})}positive(Q){return this._addCheck({kind:"min",value:0,inclusive:!1,message:X8.toString(Q)})}negative(Q){return this._addCheck({kind:"max",value:0,inclusive:!1,message:X8.toString(Q)})}nonpositive(Q){return this._addCheck({kind:"max",value:0,inclusive:!0,message:X8.toString(Q)})}nonnegative(Q){return this._addCheck({kind:"min",value:0,inclusive:!0,message:X8.toString(Q)})}multipleOf(Q,J){return this._addCheck({kind:"multipleOf",value:Q,message:X8.toString(J)})}finite(Q){return this._addCheck({kind:"finite",message:X8.toString(Q)})}safe(Q){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:X8.toString(Q)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:X8.toString(Q)})}get minValue(){let Q=null;for(let J of this._def.checks)if(J.kind==="min"){if(Q===null||J.value>Q)Q=J.value}return Q}get maxValue(){let Q=null;for(let J of this._def.checks)if(J.kind==="max"){if(Q===null||J.value<Q)Q=J.value}return Q}get isInt(){return!!this._def.checks.find((Q)=>Q.kind==="int"||Q.kind==="multipleOf"&&$6.isInteger(Q.value))}get isFinite(){let Q=null,J=null;for(let G of this._def.checks)if(G.kind==="finite"||G.kind==="int"||G.kind==="multipleOf")return!0;else if(G.kind==="min"){if(J===null||G.value>J)J=G.value}else if(G.kind==="max"){if(Q===null||G.value<Q)Q=G.value}return Number.isFinite(J)&&Number.isFinite(Q)}}Jz.create=(Q)=>{return new Jz({checks:[],typeName:CQ.ZodNumber,coerce:Q?.coerce||!1,...o8(Q)})};class Yz extends W6{constructor(){super(...arguments);this.min=this.gte,this.max=this.lte}_parse(Q){if(this._def.coerce)try{Q.data=BigInt(Q.data)}catch{return this._getInvalidInput(Q)}if(this._getType(Q)!==EQ.bigint)return this._getInvalidInput(Q);let G=void 0,H=new fX;for(let K of this._def.checks)if(K.kind==="min"){if(K.inclusive?Q.data<K.value:Q.data<=K.value)G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.too_small,type:"bigint",minimum:K.value,inclusive:K.inclusive,message:K.message}),H.dirty()}else if(K.kind==="max"){if(K.inclusive?Q.data>K.value:Q.data>=K.value)G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.too_big,type:"bigint",maximum:K.value,inclusive:K.inclusive,message:K.message}),H.dirty()}else if(K.kind==="multipleOf"){if(Q.data%K.value!==BigInt(0))G=this._getOrReturnCtx(Q,G),vQ(G,{code:jQ.not_multiple_of,multipleOf:K.value,message:K.message}),H.dirty()}else $6.assertNever(K);return{status:H.value,value:Q.data}}_getInvalidInput(Q){let J=this._getOrReturnCtx(Q);return vQ(J,{code:jQ.invalid_type,expected:EQ.bigint,received:J.parsedType}),w8}gte(Q,J){return this.setLimit("min",Q,!0,X8.toString(J))}gt(Q,J){return this.setLimit("min",Q,!1,X8.toString(J))}lte(Q,J){return this.setLimit("max",Q,!0,X8.toString(J))}lt(Q,J){return this.setLimit("max",Q,!1,X8.toString(J))}setLimit(Q,J,G,H){return new Yz({...this._def,checks:[...this._def.checks,{kind:Q,value:J,inclusive:G,message:X8.toString(H)}]})}_addCheck(Q){return new Yz({...this._def,checks:[...this._def.checks,Q]})}positive(Q){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:X8.toString(Q)})}negative(Q){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:X8.toString(Q)})}nonpositive(Q){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:X8.toString(Q)})}nonnegative(Q){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:X8.toString(Q)})}multipleOf(Q,J){return this._addCheck({kind:"multipleOf",value:Q,message:X8.toString(J)})}get minValue(){let Q=null;for(let J of this._def.checks)if(J.kind==="min"){if(Q===null||J.value>Q)Q=J.value}return Q}get maxValue(){let Q=null;for(let J of this._def.checks)if(J.kind==="max"){if(Q===null||J.value<Q)Q=J.value}return Q}}Yz.create=(Q)=>{return new Yz({checks:[],typeName:CQ.ZodBigInt,coerce:Q?.coerce??!1,...o8(Q)})};class QN extends W6{_parse(Q){if(this._def.coerce)Q.data=Boolean(Q.data);if(this._getType(Q)!==EQ.boolean){let G=this._getOrReturnCtx(Q);return vQ(G,{code:jQ.invalid_type,expected:EQ.boolean,received:G.parsedType}),w8}return qJ(Q.data)}}QN.create=(Q)=>{return new QN({typeName:CQ.ZodBoolean,coerce:Q?.coerce||!1,...o8(Q)})};class FU extends W6{_parse(Q){if(this._def.coerce)Q.data=new Date(Q.data);if(this._getType(Q)!==EQ.date){let K=this._getOrReturnCtx(Q);return vQ(K,{code:jQ.invalid_type,expected:EQ.date,received:K.parsedType}),w8}if(Number.isNaN(Q.data.getTime())){let K=this._getOrReturnCtx(Q);return vQ(K,{code:jQ.invalid_date}),w8}let G=new fX,H=void 0;for(let K of this._def.checks)if(K.kind==="min"){if(Q.data.getTime()<K.value)H=this._getOrReturnCtx(Q,H),vQ(H,{code:jQ.too_small,message:K.message,inclusive:!0,exact:!1,minimum:K.value,type:"date"}),G.dirty()}else if(K.kind==="max"){if(Q.data.getTime()>K.value)H=this._getOrReturnCtx(Q,H),vQ(H,{code:jQ.too_big,message:K.message,inclusive:!0,exact:!1,maximum:K.value,type:"date"}),G.dirty()}else $6.assertNever(K);return{status:G.value,value:new Date(Q.data.getTime())}}_addCheck(Q){return new FU({...this._def,checks:[...this._def.checks,Q]})}min(Q,J){return this._addCheck({kind:"min",value:Q.getTime(),message:X8.toString(J)})}max(Q,J){return this._addCheck({kind:"max",value:Q.getTime(),message:X8.toString(J)})}get minDate(){let Q=null;for(let J of this._def.checks)if(J.kind==="min"){if(Q===null||J.value>Q)Q=J.value}return Q!=null?new Date(Q):null}get maxDate(){let Q=null;for(let J of this._def.checks)if(J.kind==="max"){if(Q===null||J.value<Q)Q=J.value}return Q!=null?new Date(Q):null}}FU.create=(Q)=>{return new FU({checks:[],coerce:Q?.coerce||!1,typeName:CQ.ZodDate,...o8(Q)})};class XN extends W6{_parse(Q){if(this._getType(Q)!==EQ.symbol){let G=this._getOrReturnCtx(Q);return vQ(G,{code:jQ.invalid_type,expected:EQ.symbol,received:G.parsedType}),w8}return qJ(Q.data)}}XN.create=(Q)=>{return new XN({typeName:CQ.ZodSymbol,...o8(Q)})};class DU extends W6{_parse(Q){if(this._getType(Q)!==EQ.undefined){let G=this._getOrReturnCtx(Q);return vQ(G,{code:jQ.invalid_type,expected:EQ.undefined,received:G.parsedType}),w8}return qJ(Q.data)}}DU.create=(Q)=>{return new DU({typeName:CQ.ZodUndefined,...o8(Q)})};class MU extends W6{_parse(Q){if(this._getType(Q)!==EQ.null){let G=this._getOrReturnCtx(Q);return vQ(G,{code:jQ.invalid_type,expected:EQ.null,received:G.parsedType}),w8}return qJ(Q.data)}}MU.create=(Q)=>{return new MU({typeName:CQ.ZodNull,...o8(Q)})};class JN extends W6{constructor(){super(...arguments);this._any=!0}_parse(Q){return qJ(Q.data)}}JN.create=(Q)=>{return new JN({typeName:CQ.ZodAny,...o8(Q)})};class M3 extends W6{constructor(){super(...arguments);this._unknown=!0}_parse(Q){return qJ(Q.data)}}M3.create=(Q)=>{return new M3({typeName:CQ.ZodUnknown,...o8(Q)})};class M5 extends W6{_parse(Q){let J=this._getOrReturnCtx(Q);return vQ(J,{code:jQ.invalid_type,expected:EQ.never,received:J.parsedType}),w8}}M5.create=(Q)=>{return new M5({typeName:CQ.ZodNever,...o8(Q)})};class YN extends W6{_parse(Q){if(this._getType(Q)!==EQ.undefined){let G=this._getOrReturnCtx(Q);return vQ(G,{code:jQ.invalid_type,expected:EQ.void,received:G.parsedType}),w8}return qJ(Q.data)}}YN.create=(Q)=>{return new YN({typeName:CQ.ZodVoid,...o8(Q)})};class DW extends W6{_parse(Q){let{ctx:J,status:G}=this._processInputParams(Q),H=this._def;if(J.parsedType!==EQ.array)return vQ(J,{code:jQ.invalid_type,expected:EQ.array,received:J.parsedType}),w8;if(H.exactLength!==null){let z=J.data.length>H.exactLength.value,q=J.data.length<H.exactLength.value;if(z||q)vQ(J,{code:z?jQ.too_big:jQ.too_small,minimum:q?H.exactLength.value:void 0,maximum:z?H.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:H.exactLength.message}),G.dirty()}if(H.minLength!==null){if(J.data.length<H.minLength.value)vQ(J,{code:jQ.too_small,minimum:H.minLength.value,type:"array",inclusive:!0,exact:!1,message:H.minLength.message}),G.dirty()}if(H.maxLength!==null){if(J.data.length>H.maxLength.value)vQ(J,{code:jQ.too_big,maximum:H.maxLength.value,type:"array",inclusive:!0,exact:!1,message:H.maxLength.message}),G.dirty()}if(J.common.async)return Promise.all([...J.data].map((z,q)=>{return H.type._parseAsync(new FG(J,z,J.path,q))})).then((z)=>{return fX.mergeArray(G,z)});let K=[...J.data].map((z,q)=>{return H.type._parseSync(new FG(J,z,J.path,q))});return fX.mergeArray(G,K)}get element(){return this._def.type}min(Q,J){return new DW({...this._def,minLength:{value:Q,message:X8.toString(J)}})}max(Q,J){return new DW({...this._def,maxLength:{value:Q,message:X8.toString(J)}})}length(Q,J){return new DW({...this._def,exactLength:{value:Q,message:X8.toString(J)}})}nonempty(Q){return this.min(1,Q)}}DW.create=(Q,J)=>{return new DW({type:Q,minLength:null,maxLength:null,exactLength:null,typeName:CQ.ZodArray,...o8(J)})};function Xz(Q){if(Q instanceof Q7){let J={};for(let G in Q.shape){let H=Q.shape[G];J[G]=MW.create(Xz(H))}return new Q7({...Q._def,shape:()=>J})}else if(Q instanceof DW)return new DW({...Q._def,type:Xz(Q.element)});else if(Q instanceof MW)return MW.create(Xz(Q.unwrap()));else if(Q instanceof v4)return v4.create(Xz(Q.unwrap()));else if(Q instanceof L5)return L5.create(Q.items.map((J)=>Xz(J)));else return Q}class Q7 extends W6{constructor(){super(...arguments);this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;let Q=this._def.shape(),J=$6.objectKeys(Q);return this._cached={shape:Q,keys:J},this._cached}_parse(Q){if(this._getType(Q)!==EQ.object){let D=this._getOrReturnCtx(Q);return vQ(D,{code:jQ.invalid_type,expected:EQ.object,received:D.parsedType}),w8}let{status:G,ctx:H}=this._processInputParams(Q),{shape:K,keys:z}=this._getCached(),q=[];if(!(this._def.catchall instanceof M5&&this._def.unknownKeys==="strip")){for(let D in H.data)if(!z.includes(D))q.push(D)}let F=[];for(let D of z){let V=K[D],O=H.data[D];F.push({key:{status:"valid",value:D},value:V._parse(new FG(H,O,H.path,D)),alwaysSet:D in H.data})}if(this._def.catchall instanceof M5){let D=this._def.unknownKeys;if(D==="passthrough")for(let V of q)F.push({key:{status:"valid",value:V},value:{status:"valid",value:H.data[V]}});else if(D==="strict"){if(q.length>0)vQ(H,{code:jQ.unrecognized_keys,keys:q}),G.dirty()}else if(D==="strip");else throw Error("Internal ZodObject error: invalid unknownKeys value.")}else{let D=this._def.catchall;for(let V of q){let O=H.data[V];F.push({key:{status:"valid",value:V},value:D._parse(new FG(H,O,H.path,V)),alwaysSet:V in H.data})}}if(H.common.async)return Promise.resolve().then(async()=>{let D=[];for(let V of F){let O=await V.key,P=await V.value;D.push({key:O,value:P,alwaysSet:V.alwaysSet})}return D}).then((D)=>{return fX.mergeObjectSync(G,D)});else return fX.mergeObjectSync(G,F)}get shape(){return this._def.shape()}strict(Q){return X8.errToObj,new Q7({...this._def,unknownKeys:"strict",...Q!==void 0?{errorMap:(J,G)=>{let H=this._def.errorMap?.(J,G).message??G.defaultError;if(J.code==="unrecognized_keys")return{message:X8.errToObj(Q).message??H};return{message:H}}}:{}})}strip(){return new Q7({...this._def,unknownKeys:"strip"})}passthrough(){return new Q7({...this._def,unknownKeys:"passthrough"})}extend(Q){return new Q7({...this._def,shape:()=>({...this._def.shape(),...Q})})}merge(Q){return new Q7({unknownKeys:Q._def.unknownKeys,catchall:Q._def.catchall,shape:()=>({...this._def.shape(),...Q._def.shape()}),typeName:CQ.ZodObject})}setKey(Q,J){return this.augment({[Q]:J})}catchall(Q){return new Q7({...this._def,catchall:Q})}pick(Q){let J={};for(let G of $6.objectKeys(Q))if(Q[G]&&this.shape[G])J[G]=this.shape[G];return new Q7({...this._def,shape:()=>J})}omit(Q){let J={};for(let G of $6.objectKeys(this.shape))if(!Q[G])J[G]=this.shape[G];return new Q7({...this._def,shape:()=>J})}deepPartial(){return Xz(this)}partial(Q){let J={};for(let G of $6.objectKeys(this.shape)){let H=this.shape[G];if(Q&&!Q[G])J[G]=H;else J[G]=H.optional()}return new Q7({...this._def,shape:()=>J})}required(Q){let J={};for(let G of $6.objectKeys(this.shape))if(Q&&!Q[G])J[G]=this.shape[G];else{let K=this.shape[G];while(K instanceof MW)K=K._def.innerType;J[G]=K}return new Q7({...this._def,shape:()=>J})}keyof(){return nK0($6.objectKeys(this.shape))}}Q7.create=(Q,J)=>{return new Q7({shape:()=>Q,unknownKeys:"strip",catchall:M5.create(),typeName:CQ.ZodObject,...o8(J)})};Q7.strictCreate=(Q,J)=>{return new Q7({shape:()=>Q,unknownKeys:"strict",catchall:M5.create(),typeName:CQ.ZodObject,...o8(J)})};Q7.lazycreate=(Q,J)=>{return new Q7({shape:Q,unknownKeys:"strip",catchall:M5.create(),typeName:CQ.ZodObject,...o8(J)})};class LU extends W6{_parse(Q){let{ctx:J}=this._processInputParams(Q),G=this._def.options;function H(K){for(let q of K)if(q.result.status==="valid")return q.result;for(let q of K)if(q.result.status==="dirty")return J.common.issues.push(...q.ctx.common.issues),q.result;let z=K.map((q)=>new AY(q.ctx.common.issues));return vQ(J,{code:jQ.invalid_union,unionErrors:z}),w8}if(J.common.async)return Promise.all(G.map(async(K)=>{let z={...J,common:{...J.common,issues:[]},parent:null};return{result:await K._parseAsync({data:J.data,path:J.path,parent:z}),ctx:z}})).then(H);else{let K=void 0,z=[];for(let F of G){let D={...J,common:{...J.common,issues:[]},parent:null},V=F._parseSync({data:J.data,path:J.path,parent:D});if(V.status==="valid")return V;else if(V.status==="dirty"&&!K)K={result:V,ctx:D};if(D.common.issues.length)z.push(D.common.issues)}if(K)return J.common.issues.push(...K.ctx.common.issues),K.result;let q=z.map((F)=>new AY(F));return vQ(J,{code:jQ.invalid_union,unionErrors:q}),w8}}get options(){return this._def.options}}LU.create=(Q,J)=>{return new LU({options:Q,typeName:CQ.ZodUnion,...o8(J)})};var F5=(Q)=>{if(Q instanceof PU)return F5(Q.schema);else if(Q instanceof LW)return F5(Q.innerType());else if(Q instanceof NU)return[Q.value];else if(Q instanceof L3)return Q.options;else if(Q instanceof jU)return $6.objectValues(Q.enum);else if(Q instanceof CU)return F5(Q._def.innerType);else if(Q instanceof DU)return[void 0];else if(Q instanceof MU)return[null];else if(Q instanceof MW)return[void 0,...F5(Q.unwrap())];else if(Q instanceof v4)return[null,...F5(Q.unwrap())];else if(Q instanceof Vx)return F5(Q.unwrap());else if(Q instanceof RU)return F5(Q.unwrap());else if(Q instanceof IU)return F5(Q._def.innerType);else return[]};class zx extends W6{_parse(Q){let{ctx:J}=this._processInputParams(Q);if(J.parsedType!==EQ.object)return vQ(J,{code:jQ.invalid_type,expected:EQ.object,received:J.parsedType}),w8;let G=this.discriminator,H=J.data[G],K=this.optionsMap.get(H);if(!K)return vQ(J,{code:jQ.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[G]}),w8;if(J.common.async)return K._parseAsync({data:J.data,path:J.path,parent:J});else return K._parseSync({data:J.data,path:J.path,parent:J})}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(Q,J,G){let H=new Map;for(let K of J){let z=F5(K.shape[Q]);if(!z.length)throw Error(`A discriminator value for key \`${Q}\` could not be extracted from all schema options`);for(let q of z){if(H.has(q))throw Error(`Discriminator property ${String(Q)} has duplicate value ${String(q)}`);H.set(q,K)}}return new zx({typeName:CQ.ZodDiscriminatedUnion,discriminator:Q,options:J,optionsMap:H,...o8(G)})}}function Kx(Q,J){let G=Z5(Q),H=Z5(J);if(Q===J)return{valid:!0,data:Q};else if(G===EQ.object&&H===EQ.object){let K=$6.objectKeys(J),z=$6.objectKeys(Q).filter((F)=>K.indexOf(F)!==-1),q={...Q,...J};for(let F of z){let D=Kx(Q[F],J[F]);if(!D.valid)return{valid:!1};q[F]=D.data}return{valid:!0,data:q}}else if(G===EQ.array&&H===EQ.array){if(Q.length!==J.length)return{valid:!1};let K=[];for(let z=0;z<Q.length;z++){let q=Q[z],F=J[z],D=Kx(q,F);if(!D.valid)return{valid:!1};K.push(D.data)}return{valid:!0,data:K}}else if(G===EQ.date&&H===EQ.date&&+Q===+J)return{valid:!0,data:Q};else return{valid:!1}}class OU extends W6{_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q),H=(K,z)=>{if(Wx(K)||Wx(z))return w8;let q=Kx(K.value,z.value);if(!q.valid)return vQ(G,{code:jQ.invalid_intersection_types}),w8;if(Hx(K)||Hx(z))J.dirty();return{status:J.value,value:q.data}};if(G.common.async)return Promise.all([this._def.left._parseAsync({data:G.data,path:G.path,parent:G}),this._def.right._parseAsync({data:G.data,path:G.path,parent:G})]).then(([K,z])=>H(K,z));else return H(this._def.left._parseSync({data:G.data,path:G.path,parent:G}),this._def.right._parseSync({data:G.data,path:G.path,parent:G}))}}OU.create=(Q,J,G)=>{return new OU({left:Q,right:J,typeName:CQ.ZodIntersection,...o8(G)})};class L5 extends W6{_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q);if(G.parsedType!==EQ.array)return vQ(G,{code:jQ.invalid_type,expected:EQ.array,received:G.parsedType}),w8;if(G.data.length<this._def.items.length)return vQ(G,{code:jQ.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),w8;if(!this._def.rest&&G.data.length>this._def.items.length)vQ(G,{code:jQ.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),J.dirty();let K=[...G.data].map((z,q)=>{let F=this._def.items[q]||this._def.rest;if(!F)return null;return F._parse(new FG(G,z,G.path,q))}).filter((z)=>!!z);if(G.common.async)return Promise.all(K).then((z)=>{return fX.mergeArray(J,z)});else return fX.mergeArray(J,K)}get items(){return this._def.items}rest(Q){return new L5({...this._def,rest:Q})}}L5.create=(Q,J)=>{if(!Array.isArray(Q))throw Error("You must pass an array of schemas to z.tuple([ ... ])");return new L5({items:Q,typeName:CQ.ZodTuple,rest:null,...o8(J)})};class GN extends W6{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q);if(G.parsedType!==EQ.object)return vQ(G,{code:jQ.invalid_type,expected:EQ.object,received:G.parsedType}),w8;let H=[],K=this._def.keyType,z=this._def.valueType;for(let q in G.data)H.push({key:K._parse(new FG(G,q,G.path,q)),value:z._parse(new FG(G,G.data[q],G.path,q)),alwaysSet:q in G.data});if(G.common.async)return fX.mergeObjectAsync(J,H);else return fX.mergeObjectSync(J,H)}get element(){return this._def.valueType}static create(Q,J,G){if(J instanceof W6)return new GN({keyType:Q,valueType:J,typeName:CQ.ZodRecord,...o8(G)});return new GN({keyType:D5.create(),valueType:Q,typeName:CQ.ZodRecord,...o8(J)})}}class WN extends W6{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q);if(G.parsedType!==EQ.map)return vQ(G,{code:jQ.invalid_type,expected:EQ.map,received:G.parsedType}),w8;let H=this._def.keyType,K=this._def.valueType,z=[...G.data.entries()].map(([q,F],D)=>{return{key:H._parse(new FG(G,q,G.path,[D,"key"])),value:K._parse(new FG(G,F,G.path,[D,"value"]))}});if(G.common.async){let q=new Map;return Promise.resolve().then(async()=>{for(let F of z){let D=await F.key,V=await F.value;if(D.status==="aborted"||V.status==="aborted")return w8;if(D.status==="dirty"||V.status==="dirty")J.dirty();q.set(D.value,V.value)}return{status:J.value,value:q}})}else{let q=new Map;for(let F of z){let{key:D,value:V}=F;if(D.status==="aborted"||V.status==="aborted")return w8;if(D.status==="dirty"||V.status==="dirty")J.dirty();q.set(D.value,V.value)}return{status:J.value,value:q}}}}WN.create=(Q,J,G)=>{return new WN({valueType:J,keyType:Q,typeName:CQ.ZodMap,...o8(G)})};class Gz extends W6{_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q);if(G.parsedType!==EQ.set)return vQ(G,{code:jQ.invalid_type,expected:EQ.set,received:G.parsedType}),w8;let H=this._def;if(H.minSize!==null){if(G.data.size<H.minSize.value)vQ(G,{code:jQ.too_small,minimum:H.minSize.value,type:"set",inclusive:!0,exact:!1,message:H.minSize.message}),J.dirty()}if(H.maxSize!==null){if(G.data.size>H.maxSize.value)vQ(G,{code:jQ.too_big,maximum:H.maxSize.value,type:"set",inclusive:!0,exact:!1,message:H.maxSize.message}),J.dirty()}let K=this._def.valueType;function z(F){let D=new Set;for(let V of F){if(V.status==="aborted")return w8;if(V.status==="dirty")J.dirty();D.add(V.value)}return{status:J.value,value:D}}let q=[...G.data.values()].map((F,D)=>K._parse(new FG(G,F,G.path,D)));if(G.common.async)return Promise.all(q).then((F)=>z(F));else return z(q)}min(Q,J){return new Gz({...this._def,minSize:{value:Q,message:X8.toString(J)}})}max(Q,J){return new Gz({...this._def,maxSize:{value:Q,message:X8.toString(J)}})}size(Q,J){return this.min(Q,J).max(Q,J)}nonempty(Q){return this.min(1,Q)}}Gz.create=(Q,J)=>{return new Gz({valueType:Q,minSize:null,maxSize:null,typeName:CQ.ZodSet,...o8(J)})};class ZU extends W6{constructor(){super(...arguments);this.validate=this.implement}_parse(Q){let{ctx:J}=this._processInputParams(Q);if(J.parsedType!==EQ.function)return vQ(J,{code:jQ.invalid_type,expected:EQ.function,received:J.parsedType}),w8;function G(q,F){return tP({data:q,path:J.path,errorMaps:[J.common.contextualErrorMap,J.schemaErrorMap,UU(),y4].filter((D)=>!!D),issueData:{code:jQ.invalid_arguments,argumentsError:F}})}function H(q,F){return tP({data:q,path:J.path,errorMaps:[J.common.contextualErrorMap,J.schemaErrorMap,UU(),y4].filter((D)=>!!D),issueData:{code:jQ.invalid_return_type,returnTypeError:F}})}let K={errorMap:J.common.contextualErrorMap},z=J.data;if(this._def.returns instanceof Wz){let q=this;return qJ(async function(...F){let D=new AY([]),V=await q._def.args.parseAsync(F,K).catch((N)=>{throw D.addIssue(G(F,N)),D}),O=await Reflect.apply(z,this,V);return await q._def.returns._def.type.parseAsync(O,K).catch((N)=>{throw D.addIssue(H(O,N)),D})})}else{let q=this;return qJ(function(...F){let D=q._def.args.safeParse(F,K);if(!D.success)throw new AY([G(F,D.error)]);let V=Reflect.apply(z,this,D.data),O=q._def.returns.safeParse(V,K);if(!O.success)throw new AY([H(V,O.error)]);return O.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...Q){return new ZU({...this._def,args:L5.create(Q).rest(M3.create())})}returns(Q){return new ZU({...this._def,returns:Q})}implement(Q){return this.parse(Q)}strictImplement(Q){return this.parse(Q)}static create(Q,J,G){return new ZU({args:Q?Q:L5.create([]).rest(M3.create()),returns:J||M3.create(),typeName:CQ.ZodFunction,...o8(G)})}}class PU extends W6{get schema(){return this._def.getter()}_parse(Q){let{ctx:J}=this._processInputParams(Q);return this._def.getter()._parse({data:J.data,path:J.path,parent:J})}}PU.create=(Q,J)=>{return new PU({getter:Q,typeName:CQ.ZodLazy,...o8(J)})};class NU extends W6{_parse(Q){if(Q.data!==this._def.value){let J=this._getOrReturnCtx(Q);return vQ(J,{received:J.data,code:jQ.invalid_literal,expected:this._def.value}),w8}return{status:"valid",value:Q.data}}get value(){return this._def.value}}NU.create=(Q,J)=>{return new NU({value:Q,typeName:CQ.ZodLiteral,...o8(J)})};function nK0(Q,J){return new L3({values:Q,typeName:CQ.ZodEnum,...o8(J)})}class L3 extends W6{_parse(Q){if(typeof Q.data!=="string"){let J=this._getOrReturnCtx(Q),G=this._def.values;return vQ(J,{expected:$6.joinValues(G),received:J.parsedType,code:jQ.invalid_type}),w8}if(!this._cache)this._cache=new Set(this._def.values);if(!this._cache.has(Q.data)){let J=this._getOrReturnCtx(Q),G=this._def.values;return vQ(J,{received:J.data,code:jQ.invalid_enum_value,options:G}),w8}return qJ(Q.data)}get options(){return this._def.values}get enum(){let Q={};for(let J of this._def.values)Q[J]=J;return Q}get Values(){let Q={};for(let J of this._def.values)Q[J]=J;return Q}get Enum(){let Q={};for(let J of this._def.values)Q[J]=J;return Q}extract(Q,J=this._def){return L3.create(Q,{...this._def,...J})}exclude(Q,J=this._def){return L3.create(this.options.filter((G)=>!Q.includes(G)),{...this._def,...J})}}L3.create=nK0;class jU extends W6{_parse(Q){let J=$6.getValidEnumValues(this._def.values),G=this._getOrReturnCtx(Q);if(G.parsedType!==EQ.string&&G.parsedType!==EQ.number){let H=$6.objectValues(J);return vQ(G,{expected:$6.joinValues(H),received:G.parsedType,code:jQ.invalid_type}),w8}if(!this._cache)this._cache=new Set($6.getValidEnumValues(this._def.values));if(!this._cache.has(Q.data)){let H=$6.objectValues(J);return vQ(G,{received:G.data,code:jQ.invalid_enum_value,options:H}),w8}return qJ(Q.data)}get enum(){return this._def.values}}jU.create=(Q,J)=>{return new jU({values:Q,typeName:CQ.ZodNativeEnum,...o8(J)})};class Wz extends W6{unwrap(){return this._def.type}_parse(Q){let{ctx:J}=this._processInputParams(Q);if(J.parsedType!==EQ.promise&&J.common.async===!1)return vQ(J,{code:jQ.invalid_type,expected:EQ.promise,received:J.parsedType}),w8;let G=J.parsedType===EQ.promise?J.data:Promise.resolve(J.data);return qJ(G.then((H)=>{return this._def.type.parseAsync(H,{path:J.path,errorMap:J.common.contextualErrorMap})}))}}Wz.create=(Q,J)=>{return new Wz({type:Q,typeName:CQ.ZodPromise,...o8(J)})};class LW extends W6{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===CQ.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q),H=this._def.effect||null,K={addIssue:(z)=>{if(vQ(G,z),z.fatal)J.abort();else J.dirty()},get path(){return G.path}};if(K.addIssue=K.addIssue.bind(K),H.type==="preprocess"){let z=H.transform(G.data,K);if(G.common.async)return Promise.resolve(z).then(async(q)=>{if(J.value==="aborted")return w8;let F=await this._def.schema._parseAsync({data:q,path:G.path,parent:G});if(F.status==="aborted")return w8;if(F.status==="dirty")return Qz(F.value);if(J.value==="dirty")return Qz(F.value);return F});else{if(J.value==="aborted")return w8;let q=this._def.schema._parseSync({data:z,path:G.path,parent:G});if(q.status==="aborted")return w8;if(q.status==="dirty")return Qz(q.value);if(J.value==="dirty")return Qz(q.value);return q}}if(H.type==="refinement"){let z=(q)=>{let F=H.refinement(q,K);if(G.common.async)return Promise.resolve(F);if(F instanceof Promise)throw Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return q};if(G.common.async===!1){let q=this._def.schema._parseSync({data:G.data,path:G.path,parent:G});if(q.status==="aborted")return w8;if(q.status==="dirty")J.dirty();return z(q.value),{status:J.value,value:q.value}}else return this._def.schema._parseAsync({data:G.data,path:G.path,parent:G}).then((q)=>{if(q.status==="aborted")return w8;if(q.status==="dirty")J.dirty();return z(q.value).then(()=>{return{status:J.value,value:q.value}})})}if(H.type==="transform")if(G.common.async===!1){let z=this._def.schema._parseSync({data:G.data,path:G.path,parent:G});if(!D3(z))return w8;let q=H.transform(z.value,K);if(q instanceof Promise)throw Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:J.value,value:q}}else return this._def.schema._parseAsync({data:G.data,path:G.path,parent:G}).then((z)=>{if(!D3(z))return w8;return Promise.resolve(H.transform(z.value,K)).then((q)=>({status:J.value,value:q}))});$6.assertNever(H)}}LW.create=(Q,J,G)=>{return new LW({schema:Q,typeName:CQ.ZodEffects,effect:J,...o8(G)})};LW.createWithPreprocess=(Q,J,G)=>{return new LW({schema:J,effect:{type:"preprocess",transform:Q},typeName:CQ.ZodEffects,...o8(G)})};class MW extends W6{_parse(Q){if(this._getType(Q)===EQ.undefined)return qJ(void 0);return this._def.innerType._parse(Q)}unwrap(){return this._def.innerType}}MW.create=(Q,J)=>{return new MW({innerType:Q,typeName:CQ.ZodOptional,...o8(J)})};class v4 extends W6{_parse(Q){if(this._getType(Q)===EQ.null)return qJ(null);return this._def.innerType._parse(Q)}unwrap(){return this._def.innerType}}v4.create=(Q,J)=>{return new v4({innerType:Q,typeName:CQ.ZodNullable,...o8(J)})};class CU extends W6{_parse(Q){let{ctx:J}=this._processInputParams(Q),G=J.data;if(J.parsedType===EQ.undefined)G=this._def.defaultValue();return this._def.innerType._parse({data:G,path:J.path,parent:J})}removeDefault(){return this._def.innerType}}CU.create=(Q,J)=>{return new CU({innerType:Q,typeName:CQ.ZodDefault,defaultValue:typeof J.default==="function"?J.default:()=>J.default,...o8(J)})};class IU extends W6{_parse(Q){let{ctx:J}=this._processInputParams(Q),G={...J,common:{...J.common,issues:[]}},H=this._def.innerType._parse({data:G.data,path:G.path,parent:{...G}});if($U(H))return H.then((K)=>{return{status:"valid",value:K.status==="valid"?K.value:this._def.catchValue({get error(){return new AY(G.common.issues)},input:G.data})}});else return{status:"valid",value:H.status==="valid"?H.value:this._def.catchValue({get error(){return new AY(G.common.issues)},input:G.data})}}removeCatch(){return this._def.innerType}}IU.create=(Q,J)=>{return new IU({innerType:Q,typeName:CQ.ZodCatch,catchValue:typeof J.catch==="function"?J.catch:()=>J.catch,...o8(J)})};class HN extends W6{_parse(Q){if(this._getType(Q)!==EQ.nan){let G=this._getOrReturnCtx(Q);return vQ(G,{code:jQ.invalid_type,expected:EQ.nan,received:G.parsedType}),w8}return{status:"valid",value:Q.data}}}HN.create=(Q)=>{return new HN({typeName:CQ.ZodNaN,...o8(Q)})};var F88=Symbol("zod_brand");class Vx extends W6{_parse(Q){let{ctx:J}=this._processInputParams(Q),G=J.data;return this._def.type._parse({data:G,path:J.path,parent:J})}unwrap(){return this._def.type}}class BN extends W6{_parse(Q){let{status:J,ctx:G}=this._processInputParams(Q);if(G.common.async)return(async()=>{let K=await this._def.in._parseAsync({data:G.data,path:G.path,parent:G});if(K.status==="aborted")return w8;if(K.status==="dirty")return J.dirty(),Qz(K.value);else return this._def.out._parseAsync({data:K.value,path:G.path,parent:G})})();else{let H=this._def.in._parseSync({data:G.data,path:G.path,parent:G});if(H.status==="aborted")return w8;if(H.status==="dirty")return J.dirty(),{status:"dirty",value:H.value};else return this._def.out._parseSync({data:H.value,path:G.path,parent:G})}}static create(Q,J){return new BN({in:Q,out:J,typeName:CQ.ZodPipeline})}}class RU extends W6{_parse(Q){let J=this._def.innerType._parse(Q),G=(H)=>{if(D3(H))H.value=Object.freeze(H.value);return H};return $U(J)?J.then((H)=>G(H)):G(J)}unwrap(){return this._def.innerType}}RU.create=(Q,J)=>{return new RU({innerType:Q,typeName:CQ.ZodReadonly,...o8(J)})};var D88={object:Q7.lazycreate},CQ;(function(Q){Q.ZodString="ZodString",Q.ZodNumber="ZodNumber",Q.ZodNaN="ZodNaN",Q.ZodBigInt="ZodBigInt",Q.ZodBoolean="ZodBoolean",Q.ZodDate="ZodDate",Q.ZodSymbol="ZodSymbol",Q.ZodUndefined="ZodUndefined",Q.ZodNull="ZodNull",Q.ZodAny="ZodAny",Q.ZodUnknown="ZodUnknown",Q.ZodNever="ZodNever",Q.ZodVoid="ZodVoid",Q.ZodArray="ZodArray",Q.ZodObject="ZodObject",Q.ZodUnion="ZodUnion",Q.ZodDiscriminatedUnion="ZodDiscriminatedUnion",Q.ZodIntersection="ZodIntersection",Q.ZodTuple="ZodTuple",Q.ZodRecord="ZodRecord",Q.ZodMap="ZodMap",Q.ZodSet="ZodSet",Q.ZodFunction="ZodFunction",Q.ZodLazy="ZodLazy",Q.ZodLiteral="ZodLiteral",Q.ZodEnum="ZodEnum",Q.ZodEffects="ZodEffects",Q.ZodNativeEnum="ZodNativeEnum",Q.ZodOptional="ZodOptional",Q.ZodNullable="ZodNullable",Q.ZodDefault="ZodDefault",Q.ZodCatch="ZodCatch",Q.ZodPromise="ZodPromise",Q.ZodBranded="ZodBranded",Q.ZodPipeline="ZodPipeline",Q.ZodReadonly="ZodReadonly"})(CQ||(CQ={}));var M88=D5.create,L88=Jz.create,O88=HN.create,P88=Yz.create,N88=QN.create,j88=FU.create,C88=XN.create,I88=DU.create,R88=MU.create,w88=JN.create,E88=M3.create,S88=M5.create,T88=YN.create,k88=DW.create,aK0=Q7.create,y88=Q7.strictCreate,v88=LU.create,x88=zx.create,b88=OU.create,g88=L5.create,h88=GN.create,_88=WN.create,f88=Gz.create,m88=ZU.create,u88=PU.create,p88=NU.create,l88=L3.create,d88=jU.create,c88=Wz.create,i88=LW.create,o88=MW.create,n88=v4.create,a88=LW.createWithPreprocess,s88=BN.create;var t88=Object.freeze({status:"aborted"});function BQ(Q,J,G){function H(F,D){if(!F._zod)Object.defineProperty(F,"_zod",{value:{def:D,constr:q,traits:new Set},enumerable:!1});if(F._zod.traits.has(Q))return;F._zod.traits.add(Q),J(F,D);let V=q.prototype,O=Object.keys(V);for(let P=0;P<O.length;P++){let N=O[P];if(!(N in F))F[N]=V[N].bind(F)}}let K=G?.Parent??Object;class z extends K{}Object.defineProperty(z,"name",{value:Q});function q(F){var D;let V=G?.Parent?new 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Call close() before connecting to a new transport, or use a separate Protocol instance per connection.");this._transport=Q;let J=this.transport?.onclose;this._transport.onclose=()=>{J?.(),this._onclose()};let G=this.transport?.onerror;this._transport.onerror=(K)=>{G?.(K),this._onerror(K)};let H=this._transport?.onmessage;this._transport.onmessage=(K,z)=>{if(H?.(K,z),C5(K)||Uz(K))this._onresponse(K);else if(u4(K))this._onrequest(K,z);else if(vq0(K))this._onnotification(K);else this._onerror(Error(`Unknown message type: ${JSON.stringify(K)}`))},await this._transport.start()}_onclose(){let Q=this._responseHandlers;this._responseHandlers=new Map,this._progressHandlers.clear(),this._taskProgressTokens.clear(),this._pendingDebouncedNotifications.clear();for(let G of this._timeoutInfo.values())clearTimeout(G.timeoutId);this._timeoutInfo.clear();for(let G of this._requestHandlerAbortControllers.values())G.abort();this._requestHandlerAbortControllers.clear();let J=gQ.fromError(nQ.ConnectionClosed,"Connection closed");this._transport=void 0,this.onclose?.();for(let G of Q.values())G(J)}_onerror(Q){this.onerror?.(Q)}_onnotification(Q){let J=this._notificationHandlers.get(Q.method)??this.fallbackNotificationHandler;if(J===void 0)return;Promise.resolve().then(()=>J(Q)).catch((G)=>this._onerror(Error(`Uncaught error in notification handler: ${G}`)))}_onrequest(Q,J){let G=this._requestHandlers.get(Q.method)??this.fallbackRequestHandler,H=this._transport,K=Q.params?._meta?.[m4]?.taskId;if(G===void 0){let V={jsonrpc:"2.0",id:Q.id,error:{code:nQ.MethodNotFound,message:"Method not found"}};if(K&&this._taskMessageQueue)this._enqueueTaskMessage(K,{type:"error",message:V,timestamp:Date.now()},H?.sessionId).catch((O)=>this._onerror(Error(`Failed to enqueue error response: ${O}`)));else H?.send(V).catch((O)=>this._onerror(Error(`Failed to send an error response: ${O}`)));return}let z=new AbortController;this._requestHandlerAbortControllers.set(Q.id,z);let q=Tq0(Q.params)?Q.params.task:void 0,F=this._taskStore?this.requestTaskStore(Q,H?.sessionId):void 0,D={signal:z.signal,sessionId:H?.sessionId,_meta:Q.params?._meta,sendNotification:async(V)=>{if(z.signal.aborted)return;let O={relatedRequestId:Q.id};if(K)O.relatedTask={taskId:K};await this.notification(V,O)},sendRequest:async(V,O,P)=>{if(z.signal.aborted)throw new gQ(nQ.ConnectionClosed,"Request was cancelled");let N={...P,relatedRequestId:Q.id};if(K&&!N.relatedTask)N.relatedTask={taskId:K};let I=N.relatedTask?.taskId??K;if(I&&F)await F.updateTaskStatus(I,"input_required");return await this.request(V,O,N)},authInfo:J?.authInfo,requestId:Q.id,requestInfo:J?.requestInfo,taskId:K,taskStore:F,taskRequestedTtl:q?.ttl,closeSSEStream:J?.closeSSEStream,closeStandaloneSSEStream:J?.closeStandaloneSSEStream};Promise.resolve().then(()=>{if(q)this.assertTaskHandlerCapability(Q.method)}).then(()=>G(Q,D)).then(async(V)=>{if(z.signal.aborted)return;let O={result:V,jsonrpc:"2.0",id:Q.id};if(K&&this._taskMessageQueue)await this._enqueueTaskMessage(K,{type:"response",message:O,timestamp:Date.now()},H?.sessionId);else await H?.send(O)},async(V)=>{if(z.signal.aborted)return;let O={jsonrpc:"2.0",id:Q.id,error:{code:Number.isSafeInteger(V.code)?V.code:nQ.InternalError,message:V.message??"Internal error",...V.data!==void 0&&{data:V.data}}};if(K&&this._taskMessageQueue)await this._enqueueTaskMessage(K,{type:"error",message:O,timestamp:Date.now()},H?.sessionId);else await H?.send(O)}).catch((V)=>this._onerror(Error(`Failed to send response: ${V}`))).finally(()=>{if(this._requestHandlerAbortControllers.get(Q.id)===z)this._requestHandlerAbortControllers.delete(Q.id)})}_onprogress(Q){let{progressToken:J,...G}=Q.params,H=Number(J),K=this._progressHandlers.get(H);if(!K){this._onerror(Error(`Received a progress notification for an unknown token: ${JSON.stringify(Q)}`));return}let z=this._responseHandlers.get(H),q=this._timeoutInfo.get(H);if(q&&z&&q.resetTimeoutOnProgress)try{this._resetTimeout(H)}catch(F){this._responseHandlers.delete(H),this._progressHandlers.delete(H),this._cleanupTimeout(H),z(F);return}K(G)}_onresponse(Q){let J=Number(Q.id),G=this._requestResolvers.get(J);if(G){if(this._requestResolvers.delete(J),C5(Q))G(Q);else{let z=new gQ(Q.error.code,Q.error.message,Q.error.data);G(z)}return}let H=this._responseHandlers.get(J);if(H===void 0){this._onerror(Error(`Received a response for an unknown message ID: ${JSON.stringify(Q)}`));return}this._responseHandlers.delete(J),this._cleanupTimeout(J);let K=!1;if(C5(Q)&&Q.result&&typeof Q.result==="object"){let z=Q.result;if(z.task&&typeof z.task==="object"){let q=z.task;if(typeof q.taskId==="string")K=!0,this._taskProgressTokens.set(q.taskId,J)}}if(!K)this._progressHandlers.delete(J);if(C5(Q))H(Q);else{let z=gQ.fromError(Q.error.code,Q.error.message,Q.error.data);H(z)}}get transport(){return this._transport}async close(){await this._transport?.close()}async*requestStream(Q,J,G){let{task:H}=G??{};if(!H){try{yield{type:"result",result:await this.request(Q,J,G)}}catch(z){yield{type:"error",error:z instanceof gQ?z:new gQ(nQ.InternalError,String(z))}}return}let K;try{let z=await this.request(Q,$z,G);if(z.task)K=z.task.taskId,yield{type:"taskCreated",task:z.task};else throw new gQ(nQ.InternalError,"Task creation did not return a task");while(!0){let q=await this.getTask({taskId:K},G);if(yield{type:"taskStatus",task:q},l4(q.status)){if(q.status==="completed")yield{type:"result",result:await this.getTaskResult({taskId:K},J,G)};else if(q.status==="failed")yield{type:"error",error:new gQ(nQ.InternalError,`Task ${K} failed`)};else if(q.status==="cancelled")yield{type:"error",error:new gQ(nQ.InternalError,`Task ${K} was cancelled`)};return}if(q.status==="input_required"){yield{type:"result",result:await this.getTaskResult({taskId:K},J,G)};return}let F=q.pollInterval??this._options?.defaultTaskPollInterval??1000;await new Promise((D)=>setTimeout(D,F)),G?.signal?.throwIfAborted()}}catch(z){yield{type:"error",error:z instanceof gQ?z:new gQ(nQ.InternalError,String(z))}}}request(Q,J,G){let{relatedRequestId:H,resumptionToken:K,onresumptiontoken:z,task:q,relatedTask:F}=G??{};return new Promise((D,V)=>{let O=(T)=>{V(T)};if(!this._transport){O(Error("Not connected"));return}if(this._options?.enforceStrictCapabilities===!0)try{if(this.assertCapabilityForMethod(Q.method),q)this.assertTaskCapability(Q.method)}catch(T){O(T);return}G?.signal?.throwIfAborted();let P=this._requestMessageId++,N={...Q,jsonrpc:"2.0",id:P};if(G?.onprogress)this._progressHandlers.set(P,G.onprogress),N.params={...Q.params,_meta:{...Q.params?._meta||{},progressToken:P}};if(q)N.params={...N.params,task:q};if(F)N.params={...N.params,_meta:{...N.params?._meta||{},[m4]:F}};let I=(T)=>{this._responseHandlers.delete(P),this._progressHandlers.delete(P),this._cleanupTimeout(P),this._transport?.send({jsonrpc:"2.0",method:"notifications/cancelled",params:{requestId:P,reason:String(T)}},{relatedRequestId:H,resumptionToken:K,onresumptiontoken:z}).catch((x)=>this._onerror(Error(`Failed to send cancellation: ${x}`)));let y=T instanceof gQ?T:new gQ(nQ.RequestTimeout,String(T));V(y)};this._responseHandlers.set(P,(T)=>{if(G?.signal?.aborted)return;if(T instanceof Error)return V(T);try{let y=_4(J,T.result);if(!y.success)V(y.error);else D(y.data)}catch(y){V(y)}}),G?.signal?.addEventListener("abort",()=>{I(G?.signal?.reason)});let R=G?.timeout??h9Q,w=()=>I(gQ.fromError(nQ.RequestTimeout,"Request timed out",{timeout:R}));this._setupTimeout(P,R,G?.maxTotalTimeout,w,G?.resetTimeoutOnProgress??!1);let E=F?.taskId;if(E){let T=(y)=>{let x=this._responseHandlers.get(P);if(x)x(y);else this._onerror(Error(`Response handler missing for side-channeled request ${P}`))};this._requestResolvers.set(P,T),this._enqueueTaskMessage(E,{type:"request",message:N,timestamp:Date.now()}).catch((y)=>{this._cleanupTimeout(P),V(y)})}else this._transport.send(N,{relatedRequestId:H,resumptionToken:K,onresumptiontoken:z}).catch((T)=>{this._cleanupTimeout(P),V(T)})})}async getTask(Q,J){return this.request({method:"tasks/get",params:Q},dN,J)}async getTaskResult(Q,J,G){return this.request({method:"tasks/result",params:Q},J,G)}async listTasks(Q,J){return this.request({method:"tasks/list",params:Q},oN,J)}async cancelTask(Q,J){return this.request({method:"tasks/cancel",params:Q},bq0,J)}async notification(Q,J){if(!this._transport)throw Error("Not connected");this.assertNotificationCapability(Q.method);let G=J?.relatedTask?.taskId;if(G){let q={...Q,jsonrpc:"2.0",params:{...Q.params,_meta:{...Q.params?._meta||{},[m4]:J.relatedTask}}};await this._enqueueTaskMessage(G,{type:"notification",message:q,timestamp:Date.now()});return}if((this._options?.debouncedNotificationMethods??[]).includes(Q.method)&&!Q.params&&!J?.relatedRequestId&&!J?.relatedTask){if(this._pendingDebouncedNotifications.has(Q.method))return;this._pendingDebouncedNotifications.add(Q.method),Promise.resolve().then(()=>{if(this._pendingDebouncedNotifications.delete(Q.method),!this._transport)return;let q={...Q,jsonrpc:"2.0"};if(J?.relatedTask)q={...q,params:{...q.params,_meta:{...q.params?._meta||{},[m4]:J.relatedTask}}};this._transport?.send(q,J).catch((F)=>this._onerror(F))});return}let z={...Q,jsonrpc:"2.0"};if(J?.relatedTask)z={...z,params:{...z.params,_meta:{...z.params?._meta||{},[m4]:J.relatedTask}}};await this._transport.send(z,J)}setRequestHandler(Q,J){let G=Qt(Q);this.assertRequestHandlerCapability(G),this._requestHandlers.set(G,(H,K)=>{let z=Xt(Q,H);return Promise.resolve(J(z,K))})}removeRequestHandler(Q){this._requestHandlers.delete(Q)}assertCanSetRequestHandler(Q){if(this._requestHandlers.has(Q))throw Error(`A request handler for ${Q} already exists, which would be overridden`)}setNotificationHandler(Q,J){let G=Qt(Q);this._notificationHandlers.set(G,(H)=>{let K=Xt(Q,H);return Promise.resolve(J(K))})}removeNotificationHandler(Q){this._notificationHandlers.delete(Q)}_cleanupTaskProgressHandler(Q){let J=this._taskProgressTokens.get(Q);if(J!==void 0)this._progressHandlers.delete(J),this._taskProgressTokens.delete(Q)}async _enqueueTaskMessage(Q,J,G){if(!this._taskStore||!this._taskMessageQueue)throw Error("Cannot enqueue task message: taskStore and taskMessageQueue are not configured");let H=this._options?.maxTaskQueueSize;await this._taskMessageQueue.enqueue(Q,J,G,H)}async _clearTaskQueue(Q,J){if(this._taskMessageQueue){let G=await this._taskMessageQueue.dequeueAll(Q,J);for(let H of G)if(H.type==="request"&&u4(H.message)){let K=H.message.id,z=this._requestResolvers.get(K);if(z)z(new gQ(nQ.InternalError,"Task cancelled or completed")),this._requestResolvers.delete(K);else this._onerror(Error(`Resolver missing for request ${K} during task ${Q} cleanup`))}}}async _waitForTaskUpdate(Q,J){let G=this._options?.defaultTaskPollInterval??1000;try{let H=await this._taskStore?.getTask(Q);if(H?.pollInterval)G=H.pollInterval}catch{}return new Promise((H,K)=>{if(J.aborted){K(new gQ(nQ.InvalidRequest,"Request cancelled"));return}let z=setTimeout(H,G);J.addEventListener("abort",()=>{clearTimeout(z),K(new gQ(nQ.InvalidRequest,"Request cancelled"))},{once:!0})})}requestTaskStore(Q,J){let G=this._taskStore;if(!G)throw Error("No task store configured");return{createTask:async(H)=>{if(!Q)throw Error("No request provided");return await G.createTask(H,Q.id,{method:Q.method,params:Q.params},J)},getTask:async(H)=>{let K=await G.getTask(H,J);if(!K)throw new gQ(nQ.InvalidParams,"Failed to retrieve task: Task not found");return K},storeTaskResult:async(H,K,z)=>{await G.storeTaskResult(H,K,z,J);let q=await G.getTask(H,J);if(q){let F=eU.parse({method:"notifications/tasks/status",params:q});if(await this.notification(F),l4(q.status))this._cleanupTaskProgressHandler(H)}},getTaskResult:(H)=>{return G.getTaskResult(H,J)},updateTaskStatus:async(H,K,z)=>{let q=await G.getTask(H,J);if(!q)throw new gQ(nQ.InvalidParams,`Task "${H}" not found - it may have been cleaned up`);if(l4(q.status))throw new gQ(nQ.InvalidParams,`Cannot update task "${H}" from terminal status "${q.status}" to "${K}". Terminal states (completed, failed, cancelled) cannot transition to other states.`);await G.updateTaskStatus(H,K,z,J);let F=await G.getTask(H,J);if(F){let D=eU.parse({method:"notifications/tasks/status",params:F});if(await this.notification(D),l4(F.status))this._cleanupTaskProgressHandler(H)}},listTasks:(H)=>{return G.listTasks(H,J)}}}}function NU0(Q){return Q!==null&&typeof Q==="object"&&!Array.isArray(Q)}function jU0(Q,J){let G={...Q};for(let H in J){let K=H,z=J[K];if(z===void 0)continue;let q=G[K];if(NU0(q)&&NU0(z))G[K]={...q,...z};else G[K]=z}return G}var SF0=K7(b00(),1),TF0=K7(EF0(),1);function mGQ(){let Q=new SF0.default({strict:!1,validateFormats:!0,validateSchema:!1,allErrors:!0});return TF0.default(Q),Q}class l00{constructor(Q){this._ajv=Q??mGQ()}getValidator(Q){let J="$id"in Q&&typeof Q.$id==="string"?this._ajv.getSchema(Q.$id)??this._ajv.compile(Q):this._ajv.compile(Q);return(G)=>{if(J(G))return{valid:!0,data:G,errorMessage:void 0};else return{valid:!1,data:void 0,errorMessage:this._ajv.errorsText(J.errors)}}}}class d00{constructor(Q){this._server=Q}requestStream(Q,J,G){return this._server.requestStream(Q,J,G)}createMessageStream(Q,J){let G=this._server.getClientCapabilities();if((Q.tools||Q.toolChoice)&&!G?.sampling?.tools)throw Error("Client does not support sampling tools capability.");if(Q.messages.length>0){let H=Q.messages[Q.messages.length-1],K=Array.isArray(H.content)?H.content:[H.content],z=K.some((V)=>V.type==="tool_result"),q=Q.messages.length>1?Q.messages[Q.messages.length-2]:void 0,F=q?Array.isArray(q.content)?q.content:[q.content]:[],D=F.some((V)=>V.type==="tool_use");if(z){if(K.some((V)=>V.type!=="tool_result"))throw Error("The last message must contain only tool_result content if any is present");if(!D)throw Error("tool_result blocks are not matching any tool_use from the previous message")}if(D){let V=new Set(F.filter((P)=>P.type==="tool_use").map((P)=>P.id)),O=new Set(K.filter((P)=>P.type==="tool_result").map((P)=>P.toolUseId));if(V.size!==O.size||![...V].every((P)=>O.has(P)))throw Error("ids of tool_result blocks and tool_use blocks from previous message do not match")}}return this.requestStream({method:"sampling/createMessage",params:Q},QZ,J)}elicitInputStream(Q,J){let G=this._server.getClientCapabilities(),H=Q.mode??"form";switch(H){case"url":{if(!G?.elicitation?.url)throw Error("Client does not support url elicitation.");break}case"form":{if(!G?.elicitation?.form)throw Error("Client does not support form elicitation.");break}}let K=H==="form"&&Q.mode===void 0?{...Q,mode:"form"}:Q;return this.requestStream({method:"elicitation/create",params:K},Lz,J)}async getTask(Q,J){return this._server.getTask({taskId:Q},J)}async getTaskResult(Q,J,G){return this._server.getTaskResult({taskId:Q},J,G)}async listTasks(Q,J){return this._server.listTasks(Q?{cursor:Q}:void 0,J)}async cancelTask(Q,J){return this._server.cancelTask({taskId:Q},J)}}function kF0(Q,J,G){if(!Q)throw Error(`${G} does not support task creation (required for ${J})`);switch(J){case"tools/call":if(!Q.tools?.call)throw Error(`${G} does not support task creation for tools/call (required for ${J})`);break;default:break}}function yF0(Q,J,G){if(!Q)throw Error(`${G} does not support task creation (required for ${J})`);switch(J){case"sampling/createMessage":if(!Q.sampling?.createMessage)throw Error(`${G} does not support task creation for sampling/createMessage (required for ${J})`);break;case"elicitation/create":if(!Q.elicitation?.create)throw Error(`${G} does not support task creation for elicitation/create (required for ${J})`);break;default:break}}class c00 extends Jt{constructor(Q,J){super(J);if(this._serverInfo=Q,this._loggingLevels=new Map,this.LOG_LEVEL_SEVERITY=new Map(k$.options.map((G,H)=>[G,H])),this.isMessageIgnored=(G,H)=>{let K=this._loggingLevels.get(H);return K?this.LOG_LEVEL_SEVERITY.get(G)<this.LOG_LEVEL_SEVERITY.get(K):!1},this._capabilities=J?.capabilities??{},this._instructions=J?.instructions,this._jsonSchemaValidator=J?.jsonSchemaValidator??new l00,this.setRequestHandler(mN,(G)=>this._oninitialize(G)),this.setNotificationHandler(bs,()=>this.oninitialized?.()),this._capabilities.logging)this.setRequestHandler(os,async(G,H)=>{let K=H.sessionId||H.requestInfo?.headers["mcp-session-id"]||void 0,{level:z}=G.params,q=k$.safeParse(z);if(q.success)this._loggingLevels.set(K,q.data);return{}})}get experimental(){if(!this._experimental)this._experimental={tasks:new d00(this)};return this._experimental}registerCapabilities(Q){if(this.transport)throw Error("Cannot register capabilities after connecting to transport");this._capabilities=jU0(this._capabilities,Q)}setRequestHandler(Q,J){let H=f4(Q)?.method;if(!H)throw Error("Schema is missing a method literal");let K;if(_Y(H)){let q=H;K=q._zod?.def?.value??q.value}else{let q=H;K=q._def?.value??q.value}if(typeof K!=="string")throw Error("Schema method literal must be a string");if(K==="tools/call"){let q=async(F,D)=>{let V=_4(p4,F);if(!V.success){let I=V.error instanceof Error?V.error.message:String(V.error);throw new gQ(nQ.InvalidParams,`Invalid tools/call request: ${I}`)}let{params:O}=V.data,P=await Promise.resolve(J(F,D));if(O.task){let I=_4($z,P);if(!I.success){let R=I.error instanceof Error?I.error.message:String(I.error);throw new gQ(nQ.InvalidParams,`Invalid task creation result: ${R}`)}return I.data}let N=_4(tN,P);if(!N.success){let I=N.error instanceof Error?N.error.message:String(N.error);throw new gQ(nQ.InvalidParams,`Invalid tools/call result: ${I}`)}return N.data};return super.setRequestHandler(Q,q)}return super.setRequestHandler(Q,J)}assertCapabilityForMethod(Q){switch(Q){case"sampling/createMessage":if(!this._clientCapabilities?.sampling)throw Error(`Client does not support sampling (required for ${Q})`);break;case"elicitation/create":if(!this._clientCapabilities?.elicitation)throw Error(`Client does not support elicitation (required for ${Q})`);break;case"roots/list":if(!this._clientCapabilities?.roots)throw Error(`Client does not support listing roots (required for ${Q})`);break;case"ping":break}}assertNotificationCapability(Q){switch(Q){case"notifications/message":if(!this._capabilities.logging)throw Error(`Server does not support logging (required for ${Q})`);break;case"notifications/resources/updated":case"notifications/resources/list_changed":if(!this._capabilities.resources)throw Error(`Server does not support notifying about resources (required for ${Q})`);break;case"notifications/tools/list_changed":if(!this._capabilities.tools)throw Error(`Server does not support notifying of tool list changes (required for ${Q})`);break;case"notifications/prompts/list_changed":if(!this._capabilities.prompts)throw Error(`Server does not support notifying of prompt list changes (required for ${Q})`);break;case"notifications/elicitation/complete":if(!this._clientCapabilities?.elicitation?.url)throw Error(`Client does not support URL elicitation (required for ${Q})`);break;case"notifications/cancelled":break;case"notifications/progress":break}}assertRequestHandlerCapability(Q){if(!this._capabilities)return;switch(Q){case"completion/complete":if(!this._capabilities.completions)throw Error(`Server does not support completions (required for ${Q})`);break;case"logging/setLevel":if(!this._capabilities.logging)throw Error(`Server does not support logging (required for ${Q})`);break;case"prompts/get":case"prompts/list":if(!this._capabilities.prompts)throw Error(`Server does not support prompts (required for ${Q})`);break;case"resources/list":case"resources/templates/list":case"resources/read":if(!this._capabilities.resources)throw Error(`Server does not support resources (required for ${Q})`);break;case"tools/call":case"tools/list":if(!this._capabilities.tools)throw Error(`Server does not support tools (required for ${Q})`);break;case"tasks/get":case"tasks/list":case"tasks/result":case"tasks/cancel":if(!this._capabilities.tasks)throw Error(`Server does not support tasks capability (required for ${Q})`);break;case"ping":case"initialize":break}}assertTaskCapability(Q){yF0(this._clientCapabilities?.tasks?.requests,Q,"Client")}assertTaskHandlerCapability(Q){if(!this._capabilities)return;kF0(this._capabilities.tasks?.requests,Q,"Server")}async _oninitialize(Q){let J=Q.params.protocolVersion;return this._clientCapabilities=Q.params.capabilities,this._clientVersion=Q.params.clientInfo,{protocolVersion:qz.includes(J)?J:Cs,capabilities:this.getCapabilities(),serverInfo:this._serverInfo,...this._instructions&&{instructions:this._instructions}}}getClientCapabilities(){return this._clientCapabilities}getClientVersion(){return this._clientVersion}getCapabilities(){return this._capabilities}async ping(){return this.request({method:"ping"},_N)}async createMessage(Q,J){if(Q.tools||Q.toolChoice){if(!this._clientCapabilities?.sampling?.tools)throw Error("Client does not support sampling tools capability.")}if(Q.messages.length>0){let G=Q.messages[Q.messages.length-1],H=Array.isArray(G.content)?G.content:[G.content],K=H.some((D)=>D.type==="tool_result"),z=Q.messages.length>1?Q.messages[Q.messages.length-2]:void 0,q=z?Array.isArray(z.content)?z.content:[z.content]:[],F=q.some((D)=>D.type==="tool_use");if(K){if(H.some((D)=>D.type!=="tool_result"))throw Error("The last message must contain only tool_result content if any is present");if(!F)throw Error("tool_result blocks are not matching any tool_use from the previous message")}if(F){let D=new Set(q.filter((O)=>O.type==="tool_use").map((O)=>O.id)),V=new Set(H.filter((O)=>O.type==="tool_result").map((O)=>O.toolUseId));if(D.size!==V.size||![...D].every((O)=>V.has(O)))throw Error("ids of tool_result blocks and tool_use blocks from previous message do not match")}}if(Q.tools)return this.request({method:"sampling/createMessage",params:Q},ns,J);return this.request({method:"sampling/createMessage",params:Q},QZ,J)}async elicitInput(Q,J){switch(Q.mode??"form"){case"url":{if(!this._clientCapabilities?.elicitation?.url)throw Error("Client does not support url elicitation.");let H=Q;return this.request({method:"elicitation/create",params:H},Lz,J)}case"form":{if(!this._clientCapabilities?.elicitation?.form)throw Error("Client does not support form elicitation.");let H=Q.mode==="form"?Q:{...Q,mode:"form"},K=await this.request({method:"elicitation/create",params:H},Lz,J);if(K.action==="accept"&&K.content&&H.requestedSchema)try{let q=this._jsonSchemaValidator.getValidator(H.requestedSchema)(K.content);if(!q.valid)throw new gQ(nQ.InvalidParams,`Elicitation response content does not match requested schema: ${q.errorMessage}`)}catch(z){if(z instanceof gQ)throw z;throw new gQ(nQ.InternalError,`Error validating elicitation response: ${z instanceof Error?z.message:String(z)}`)}return K}}}createElicitationCompletionNotifier(Q,J){if(!this._clientCapabilities?.elicitation?.url)throw Error("Client does not support URL elicitation (required for notifications/elicitation/complete)");return()=>this.notification({method:"notifications/elicitation/complete",params:{elicitationId:Q}},J)}async listRoots(Q,J){return this.request({method:"roots/list",params:Q},as,J)}async sendLoggingMessage(Q,J){if(this._capabilities.logging){if(!this.isMessageIgnored(Q.level,J))return this.notification({method:"notifications/message",params:Q})}}async sendResourceUpdated(Q){return this.notification({method:"notifications/resources/updated",params:Q})}async sendResourceListChanged(){return this.notification({method:"notifications/resources/list_changed"})}async sendToolListChanged(){return this.notification({method:"notifications/tools/list_changed"})}async sendPromptListChanged(){return this.notification({method:"notifications/prompts/list_changed"})}}var xF0=Symbol.for("mcp.completable");function i00(Q){return!!Q&&typeof Q==="object"&&xF0 in Q}function bF0(Q){return Q[xF0]?.complete}var vF0;(function(Q){Q.Completable="McpCompletable"})(vF0||(vF0={}));var uGQ=/^[A-Za-z0-9._-]{1,128}$/;function pGQ(Q){let J=[];if(Q.length===0)return{isValid:!1,warnings:["Tool name cannot be empty"]};if(Q.length>128)return{isValid:!1,warnings:[`Tool name exceeds maximum length of 128 characters (current: ${Q.length})`]};if(Q.includes(" "))J.push("Tool name contains spaces, which may cause parsing issues");if(Q.includes(","))J.push("Tool name contains commas, which may cause parsing issues");if(Q.startsWith("-")||Q.endsWith("-"))J.push("Tool name starts or ends with a dash, which may cause parsing issues in some contexts");if(Q.startsWith(".")||Q.endsWith("."))J.push("Tool name starts or ends with a dot, which may cause parsing issues in some contexts");if(!uGQ.test(Q)){let G=Q.split("").filter((H)=>!/[A-Za-z0-9._-]/.test(H)).filter((H,K,z)=>z.indexOf(H)===K);return J.push(`Tool name contains invalid characters: ${G.map((H)=>`"${H}"`).join(", ")}`,"Allowed characters are: A-Z, a-z, 0-9, underscore (_), dash (-), and dot (.)"),{isValid:!1,warnings:J}}return{isValid:!0,warnings:J}}function lGQ(Q,J){if(J.length>0){console.warn(`Tool name validation warning for "${Q}":`);for(let G of J)console.warn(`  - ${G}`);console.warn("Tool registration will proceed, but this may cause compatibility issues."),console.warn("Consider updating the tool name to conform to the MCP tool naming standard."),console.warn("See SEP: Specify Format for Tool Names (https://github.com/modelcontextprotocol/modelcontextprotocol/issues/986) for more details.")}}function o00(Q){let J=pGQ(Q);return lGQ(Q,J.warnings),J.isValid}class n00{constructor(Q){this._mcpServer=Q}registerToolTask(Q,J,G){let H={taskSupport:"required",...J.execution};if(H.taskSupport==="forbidden")throw Error(`Cannot register task-based tool '${Q}' with taskSupport 'forbidden'. Use registerTool() instead.`);return this._mcpServer._createRegisteredTool(Q,J.title,J.description,J.inputSchema,J.outputSchema,J.annotations,H,J._meta,G)}}class s00{constructor(Q,J){this._registeredResources={},this._registeredResourceTemplates={},this._registeredTools={},this._registeredPrompts={},this._toolHandlersInitialized=!1,this._completionHandlerInitialized=!1,this._resourceHandlersInitialized=!1,this._promptHandlersInitialized=!1,this.server=new c00(Q,J)}get experimental(){if(!this._experimental)this._experimental={tasks:new n00(this)};return this._experimental}async connect(Q){return await this.server.connect(Q)}async close(){await this.server.close()}setToolRequestHandlers(){if(this._toolHandlersInitialized)return;this.server.assertCanSetRequestHandler(QH(Mz)),this.server.assertCanSetRequestHandler(QH(p4)),this.server.registerCapabilities({tools:{listChanged:!0}}),this.server.setRequestHandler(Mz,()=>({tools:Object.entries(this._registeredTools).filter(([,Q])=>Q.enabled).map(([Q,J])=>{let G={name:Q,title:J.title,description:J.description,inputSchema:(()=>{let H=zz(J.inputSchema);return H?ar(H,{strictUnions:!0,pipeStrategy:"input"}):dGQ})(),annotations:J.annotations,execution:J.execution,_meta:J._meta};if(J.outputSchema){let H=zz(J.outputSchema);if(H)G.outputSchema=ar(H,{strictUnions:!0,pipeStrategy:"output"})}return G})})),this.server.setRequestHandler(p4,async(Q,J)=>{try{let G=this._registeredTools[Q.params.name];if(!G)throw new gQ(nQ.InvalidParams,`Tool ${Q.params.name} not found`);if(!G.enabled)throw new gQ(nQ.InvalidParams,`Tool ${Q.params.name} disabled`);let H=!!Q.params.task,K=G.execution?.taskSupport,z="createTask"in G.handler;if((K==="required"||K==="optional")&&!z)throw new gQ(nQ.InternalError,`Tool ${Q.params.name} has taskSupport '${K}' but was not registered with registerToolTask`);if(K==="required"&&!H)throw new gQ(nQ.MethodNotFound,`Tool ${Q.params.name} requires task augmentation (taskSupport: 'required')`);if(K==="optional"&&!H&&z)return await this.handleAutomaticTaskPolling(G,Q,J);let q=await this.validateToolInput(G,Q.params.arguments,Q.params.name),F=await this.executeToolHandler(G,q,J);if(H)return F;return await this.validateToolOutput(G,F,Q.params.name),F}catch(G){if(G instanceof gQ){if(G.code===nQ.UrlElicitationRequired)throw G}return this.createToolError(G instanceof Error?G.message:String(G))}}),this._toolHandlersInitialized=!0}createToolError(Q){return{content:[{type:"text",text:Q}],isError:!0}}async validateToolInput(Q,J,G){if(!Q.inputSchema)return;let K=zz(Q.inputSchema)??Q.inputSchema,z=await SN(K,J);if(!z.success){let q="error"in z?z.error:"Unknown error",F=TN(q);throw new gQ(nQ.InvalidParams,`Input validation error: Invalid arguments for tool ${G}: ${F}`)}return z.data}async validateToolOutput(Q,J,G){if(!Q.outputSchema)return;if(!("content"in J))return;if(J.isError)return;if(!J.structuredContent)throw new gQ(nQ.InvalidParams,`Output validation error: Tool ${G} has an output schema but no structured content was provided`);let H=zz(Q.outputSchema),K=await SN(H,J.structuredContent);if(!K.success){let z="error"in K?K.error:"Unknown error",q=TN(z);throw new gQ(nQ.InvalidParams,`Output validation error: Invalid structured content for tool ${G}: ${q}`)}}async executeToolHandler(Q,J,G){let H=Q.handler;if("createTask"in H){if(!G.taskStore)throw Error("No task store provided.");let z={...G,taskStore:G.taskStore};if(Q.inputSchema)return await Promise.resolve(H.createTask(J,z));else return await Promise.resolve(H.createTask(z))}if(Q.inputSchema)return await Promise.resolve(H(J,G));else return await Promise.resolve(H(G))}async handleAutomaticTaskPolling(Q,J,G){if(!G.taskStore)throw Error("No task store provided for task-capable tool.");let H=await this.validateToolInput(Q,J.params.arguments,J.params.name),K=Q.handler,z={...G,taskStore:G.taskStore},q=H?await Promise.resolve(K.createTask(H,z)):await Promise.resolve(K.createTask(z)),F=q.task.taskId,D=q.task,V=D.pollInterval??5000;while(D.status!=="completed"&&D.status!=="failed"&&D.status!=="cancelled"){await new Promise((P)=>setTimeout(P,V));let O=await G.taskStore.getTask(F);if(!O)throw new gQ(nQ.InternalError,`Task ${F} not found during polling`);D=O}return await G.taskStore.getTaskResult(F)}setCompletionRequestHandler(){if(this._completionHandlerInitialized)return;this.server.assertCanSetRequestHandler(QH(eN)),this.server.registerCapabilities({completions:{}}),this.server.setRequestHandler(eN,async(Q)=>{switch(Q.params.ref.type){case"ref/prompt":return uq0(Q),this.handlePromptCompletion(Q,Q.params.ref);case"ref/resource":return pq0(Q),this.handleResourceCompletion(Q,Q.params.ref);default:throw new gQ(nQ.InvalidParams,`Invalid completion reference: ${Q.params.ref}`)}}),this._completionHandlerInitialized=!0}async handlePromptCompletion(Q,J){let G=this._registeredPrompts[J.name];if(!G)throw new gQ(nQ.InvalidParams,`Prompt ${J.name} not found`);if(!G.enabled)throw new gQ(nQ.InvalidParams,`Prompt ${J.name} disabled`);if(!G.argsSchema)return wZ;let K=f4(G.argsSchema)?.[Q.params.argument.name];if(!i00(K))return wZ;let z=bF0(K);if(!z)return wZ;let q=await z(Q.params.argument.value,Q.params.context);return hF0(q)}async handleResourceCompletion(Q,J){let G=Object.values(this._registeredResourceTemplates).find((z)=>z.resourceTemplate.uriTemplate.toString()===J.uri);if(!G){if(this._registeredResources[J.uri])return wZ;throw new gQ(nQ.InvalidParams,`Resource template ${Q.params.ref.uri} not found`)}let H=G.resourceTemplate.completeCallback(Q.params.argument.name);if(!H)return wZ;let K=await H(Q.params.argument.value,Q.params.context);return hF0(K)}setResourceRequestHandlers(){if(this._resourceHandlersInitialized)return;this.server.assertCanSetRequestHandler(QH(aN)),this.server.assertCanSetRequestHandler(QH(sN)),this.server.assertCanSetRequestHandler(QH(rN)),this.server.registerCapabilities({resources:{listChanged:!0}}),this.server.setRequestHandler(aN,async(Q,J)=>{let G=Object.entries(this._registeredResources).filter(([K,z])=>z.enabled).map(([K,z])=>({uri:K,name:z.name,...z.metadata})),H=[];for(let K of Object.values(this._registeredResourceTemplates)){if(!K.resourceTemplate.listCallback)continue;let z=await K.resourceTemplate.listCallback(J);for(let q of z.resources)H.push({...K.metadata,...q})}return{resources:[...G,...H]}}),this.server.setRequestHandler(sN,async()=>{return{resourceTemplates:Object.entries(this._registeredResourceTemplates).map(([J,G])=>({name:J,uriTemplate:G.resourceTemplate.uriTemplate.toString(),...G.metadata}))}}),this.server.setRequestHandler(rN,async(Q,J)=>{let G=new URL(Q.params.uri),H=this._registeredResources[G.toString()];if(H){if(!H.enabled)throw new gQ(nQ.InvalidParams,`Resource ${G} disabled`);return H.readCallback(G,J)}for(let K of Object.values(this._registeredResourceTemplates)){let z=K.resourceTemplate.uriTemplate.match(G.toString());if(z)return K.readCallback(G,z,J)}throw new gQ(nQ.InvalidParams,`Resource ${G} not found`)}),this._resourceHandlersInitialized=!0}setPromptRequestHandlers(){if(this._promptHandlersInitialized)return;this.server.assertCanSetRequestHandler(QH(Fz)),this.server.assertCanSetRequestHandler(QH(Dz)),this.server.registerCapabilities({prompts:{listChanged:!0}}),this.server.setRequestHandler(Fz,()=>({prompts:Object.entries(this._registeredPrompts).filter(([,Q])=>Q.enabled).map(([Q,J])=>{return{name:Q,title:J.title,description:J.description,arguments:J.argsSchema?cGQ(J.argsSchema):void 0}})})),this.server.setRequestHandler(Dz,async(Q,J)=>{let G=this._registeredPrompts[Q.params.name];if(!G)throw new gQ(nQ.InvalidParams,`Prompt ${Q.params.name} not found`);if(!G.enabled)throw new gQ(nQ.InvalidParams,`Prompt ${Q.params.name} disabled`);if(G.argsSchema){let H=zz(G.argsSchema),K=await SN(H,Q.params.arguments);if(!K.success){let F="error"in K?K.error:"Unknown error",D=TN(F);throw new gQ(nQ.InvalidParams,`Invalid arguments for prompt ${Q.params.name}: ${D}`)}let z=K.data,q=G.callback;return await Promise.resolve(q(z,J))}else{let H=G.callback;return await Promise.resolve(H(J))}}),this._promptHandlersInitialized=!0}resource(Q,J,...G){let H;if(typeof G[0]==="object")H=G.shift();let K=G[0];if(typeof J==="string"){if(this._registeredResources[J])throw Error(`Resource ${J} is already registered`);let z=this._createRegisteredResource(Q,void 0,J,H,K);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),z}else{if(this._registeredResourceTemplates[Q])throw Error(`Resource template ${Q} is already registered`);let z=this._createRegisteredResourceTemplate(Q,void 0,J,H,K);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),z}}registerResource(Q,J,G,H){if(typeof J==="string"){if(this._registeredResources[J])throw Error(`Resource ${J} is already registered`);let K=this._createRegisteredResource(Q,G.title,J,G,H);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),K}else{if(this._registeredResourceTemplates[Q])throw Error(`Resource template ${Q} is already registered`);let K=this._createRegisteredResourceTemplate(Q,G.title,J,G,H);return this.setResourceRequestHandlers(),this.sendResourceListChanged(),K}}_createRegisteredResource(Q,J,G,H,K){let z={name:Q,title:J,metadata:H,readCallback:K,enabled:!0,disable:()=>z.update({enabled:!1}),enable:()=>z.update({enabled:!0}),remove:()=>z.update({uri:null}),update:(q)=>{if(typeof q.uri<"u"&&q.uri!==G){if(delete this._registeredResources[G],q.uri)this._registeredResources[q.uri]=z}if(typeof q.name<"u")z.name=q.name;if(typeof q.title<"u")z.title=q.title;if(typeof q.metadata<"u")z.metadata=q.metadata;if(typeof q.callback<"u")z.readCallback=q.callback;if(typeof q.enabled<"u")z.enabled=q.enabled;this.sendResourceListChanged()}};return this._registeredResources[G]=z,z}_createRegisteredResourceTemplate(Q,J,G,H,K){let 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this[b3]?.[0]??this[hz]().status}get ok(){let J=this.status;return J>=200&&J<300}};["body","bodyUsed","redirected","statusText","trailers","type","url"].forEach((Q)=>{Object.defineProperty(TZ.prototype,Q,{get(){return this[hz]()[Q]}})});["arrayBuffer","blob","clone","formData","json","text"].forEach((Q)=>{Object.defineProperty(TZ.prototype,Q,{value:function(){return this[hz]()[Q]()}})});Object.setPrototypeOf(TZ,XQ0);Object.setPrototypeOf(TZ.prototype,XQ0.prototype);async function QWQ(Q){return Promise.race([Q,Promise.resolve().then(()=>Promise.resolve(void 0))])}function lF0(Q,J,G){let H=(F)=>{Q.cancel(F).catch(()=>{})};return J.on("close",H),J.on("error",H),(G??Q.read()).then(q,K),Q.closed.finally(()=>{J.off("close",H),J.off("error",H)});function K(F){if(F)J.destroy(F)}function z(){Q.read().then(q,K)}function q({done:F,value:D}){try{if(F)J.end();else if(!J.write(D))J.once("drain",z);else return Q.read().then(q,K)}catch(V){K(V)}}}function XWQ(Q,J){if(Q.locked)throw TypeError("ReadableStream is locked.");else if(J.destroyed)return;return lF0(Q.getReader(),J)}var e00=(Q)=>{let J={};if(!(Q instanceof Headers))Q=new Headers(Q??void 0);let G=[];for(let[H,K]of Q)if(H==="set-cookie")G.push(K);else J[H]=K;if(G.length>0)J["set-cookie"]=G;return J["content-type"]??="text/plain; charset=UTF-8",J},JWQ="x-hono-already-sent";if(typeof global.crypto>"u")global.crypto=dF0.default;var JQ0=Symbol("outgoingEnded"),uF0=Symbol("incomingDraining"),YWQ=500,GWQ=67108864,r00=(Q)=>{let J=Q;if(Q.destroyed||J[uF0])return;if(J[uF0]=!0,Q instanceof SZ.Http2ServerRequest){try{Q.stream?.close?.(SZ.constants.NGHTTP2_NO_ERROR)}catch{}return}let G=0,H=()=>{clearTimeout(z),Q.off("data",q),Q.off("end",H),Q.off("error",H)},K=()=>{H();let F=Q.socket;if(F&&!F.destroyed)F.destroySoon()},z=setTimeout(K,YWQ);z.unref?.();let q=(F)=>{if(G+=F.length,G>GWQ)K()};Q.on("data",q),Q.on("end",H),Q.on("error",H),Q.resume()},WWQ=()=>new Response(null,{status:400}),cF0=(Q)=>new Response(null,{status:Q instanceof Error&&(Q.name==="TimeoutError"||Q.constructor.name==="TimeoutError")?504:500}),QQ0=(Q,J)=>{let G=Q instanceof Error?Q:Error("unknown error",{cause:Q});if(G.code==="ERR_STREAM_PREMATURE_CLOSE")console.info("The user aborted a request.");else{if(console.error(Q),!J.headersSent)J.writeHead(500,{"Content-Type":"text/plain"});J.end(`Error: ${G.message}`),J.destroy(G)}},iF0=(Q)=>{if("flushHeaders"in Q&&Q.writable)Q.flushHeaders()},oF0=async(Q,J)=>{let[G,H,K]=Q[b3],z=!1;if(!K)K={"content-type":"text/plain; charset=UTF-8"};else if(K instanceof Headers)z=K.has("content-length"),K=e00(K);else if(Array.isArray(K)){let q=new Headers(K);z=q.has("content-length"),K=e00(q)}else for(let q in K)if(q.length===14&&q.toLowerCase()==="content-length"){z=!0;break}if(!z){if(typeof H==="string")K["Content-Length"]=Buffer.byteLength(H);else if(H instanceof Uint8Array)K["Content-Length"]=H.byteLength;else if(H instanceof Blob)K["Content-Length"]=H.size}if(J.writeHead(G,K),typeof H==="string"||H 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G=J.autoCleanupIncoming??!0;if(J.overrideGlobalObjects!==!1&&global.Request!==EZ)Object.defineProperty(global,"Request",{value:EZ}),Object.defineProperty(global,"Response",{value:TZ});return async(H,K)=>{let z,q;try{q=eGQ(H,J.hostname);let F=!G||H.method==="GET"||H.method==="HEAD";if(!F){if(H[pF0]=!0,H.on("end",()=>{F=!0}),H instanceof SZ.Http2ServerRequest)K[JQ0]=()=>{if(!F)setTimeout(()=>{if(!F)setTimeout(()=>{r00(H)})})};K.on("finish",()=>{if(!F)r00(H)})}if(K.on("close",()=>{if(q[_z]){if(H.errored)q[_z].abort(H.errored.toString());else if(!K.writableFinished)q[_z].abort("Client connection prematurely closed.")}if(!F)setTimeout(()=>{if(!F)setTimeout(()=>{r00(H)})})}),z=Q(q,{incoming:H,outgoing:K}),b3 in z)return oF0(z,K)}catch(F){if(!z)if(J.errorHandler){if(z=await J.errorHandler(q?F:iGQ(F)),!z)return}else if(!q)z=WWQ();else z=cF0(F);else return QQ0(F,K)}try{return await BWQ(z,K,J)}catch(F){return QQ0(F,K)}}};class GQ0{constructor(Q={}){this._started=!1,this._hasHandledRequest=!1,this._streamMapping=new Map,this._requestToStreamMapping=new Map,this._requestResponseMap=new Map,this._initialized=!1,this._enableJsonResponse=!1,this._standaloneSseStreamId="_GET_stream",this.sessionIdGenerator=Q.sessionIdGenerator,this._enableJsonResponse=Q.enableJsonResponse??!1,this._eventStore=Q.eventStore,this._onsessioninitialized=Q.onsessioninitialized,this._onsessionclosed=Q.onsessionclosed,this._allowedHosts=Q.allowedHosts,this._allowedOrigins=Q.allowedOrigins,this._enableDnsRebindingProtection=Q.enableDnsRebindingProtection??!1,this._retryInterval=Q.retryInterval}async start(){if(this._started)throw Error("Transport already started");this._started=!0}createJsonErrorResponse(Q,J,G,H){let K={code:J,message:G};if(H?.data!==void 0)K.data=H.data;return new Response(JSON.stringify({jsonrpc:"2.0",error:K,id:null}),{status:Q,headers:{"Content-Type":"application/json",...H?.headers}})}validateRequestHeaders(Q){if(!this._enableDnsRebindingProtection)return;if(this._allowedHosts&&this._allowedHosts.length>0){let J=Q.headers.get("host");if(!J||!this._allowedHosts.includes(J)){let G=`Invalid Host header: ${J}`;return this.onerror?.(Error(G)),this.createJsonErrorResponse(403,-32000,G)}}if(this._allowedOrigins&&this._allowedOrigins.length>0){let J=Q.headers.get("origin");if(J&&!this._allowedOrigins.includes(J)){let G=`Invalid Origin header: ${J}`;return this.onerror?.(Error(G)),this.createJsonErrorResponse(403,-32000,G)}}return}async handleRequest(Q,J){if(!this.sessionIdGenerator&&this._hasHandledRequest)throw Error("Stateless transport cannot be reused across requests. Create a new transport per request.");this._hasHandledRequest=!0;let G=this.validateRequestHeaders(Q);if(G)return G;switch(Q.method){case"POST":return this.handlePostRequest(Q,J);case"GET":return this.handleGetRequest(Q);case"DELETE":return this.handleDeleteRequest(Q);default:return this.handleUnsupportedRequest()}}async writePrimingEvent(Q,J,G,H){if(!this._eventStore)return;if(H<"2025-11-25")return;let K=await this._eventStore.storeEvent(G,{}),z=`id: ${K}
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`;if(this._retryInterval!==void 0)z=`id: ${K}
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data: 

`;Q.enqueue(J.encode(z))}async handleGetRequest(Q){if(!Q.headers.get("accept")?.includes("text/event-stream"))return this.onerror?.(Error("Not Acceptable: Client must accept text/event-stream")),this.createJsonErrorResponse(406,-32000,"Not Acceptable: Client must accept text/event-stream");let G=this.validateSession(Q);if(G)return G;let H=this.validateProtocolVersion(Q);if(H)return H;if(this._eventStore){let D=Q.headers.get("last-event-id");if(D)return this.replayEvents(D)}if(this._streamMapping.get(this._standaloneSseStreamId)!==void 0)return this.onerror?.(Error("Conflict: Only one SSE stream is allowed per session")),this.createJsonErrorResponse(409,-32000,"Conflict: Only one SSE stream is allowed per session");let K=new TextEncoder,z,q=new ReadableStream({start:(D)=>{z=D},cancel:()=>{this._streamMapping.delete(this._standaloneSseStreamId)}}),F={"Content-Type":"text/event-stream","Cache-Control":"no-cache, no-transform",Connection:"keep-alive"};if(this.sessionId!==void 0)F["mcp-session-id"]=this.sessionId;return this._streamMapping.set(this._standaloneSseStreamId,{controller:z,encoder:K,cleanup:()=>{this._streamMapping.delete(this._standaloneSseStreamId);try{z.close()}catch{}}}),new Response(q,{headers:F})}async replayEvents(Q){if(!this._eventStore)return this.onerror?.(Error("Event store not configured")),this.createJsonErrorResponse(400,-32000,"Event store not configured");try{let J;if(this._eventStore.getStreamIdForEventId){if(J=await this._eventStore.getStreamIdForEventId(Q),!J)return this.onerror?.(Error("Invalid event ID format")),this.createJsonErrorResponse(400,-32000,"Invalid event ID format");if(this._streamMapping.get(J)!==void 0)return this.onerror?.(Error("Conflict: Stream already has an active connection")),this.createJsonErrorResponse(409,-32000,"Conflict: Stream already has an active connection")}let G={"Content-Type":"text/event-stream","Cache-Control":"no-cache, no-transform",Connection:"keep-alive"};if(this.sessionId!==void 0)G["mcp-session-id"]=this.sessionId;let H=new TextEncoder,K,z=new ReadableStream({start:(F)=>{K=F},cancel:()=>{}}),q=await this._eventStore.replayEventsAfter(Q,{send:async(F,D)=>{if(!this.writeSSEEvent(K,H,D,F)){this.onerror?.(Error("Failed replay events"));try{K.close()}catch{}}}});return this._streamMapping.set(q,{controller:K,encoder:H,cleanup:()=>{this._streamMapping.delete(q);try{K.close()}catch{}}}),new Response(z,{headers:G})}catch(J){return this.onerror?.(J),this.createJsonErrorResponse(500,-32000,"Error replaying events")}}writeSSEEvent(Q,J,G,H){try{let K=`event: message
`;if(H)K+=`id: ${H}
`;return K+=`data: ${JSON.stringify(G)}

`,Q.enqueue(J.encode(K)),!0}catch(K){return this.onerror?.(K),!1}}handleUnsupportedRequest(){return this.onerror?.(Error("Method not allowed.")),new Response(JSON.stringify({jsonrpc:"2.0",error:{code:-32000,message:"Method not allowed."},id:null}),{status:405,headers:{Allow:"GET, POST, DELETE","Content-Type":"application/json"}})}async handlePostRequest(Q,J){try{let G=Q.headers.get("accept");if(!G?.includes("application/json")||!G.includes("text/event-stream"))return this.onerror?.(Error("Not Acceptable: Client must accept both application/json and text/event-stream")),this.createJsonErrorResponse(406,-32000,"Not Acceptable: Client must accept both application/json and text/event-stream");let H=Q.headers.get("content-type");if(!H||!H.includes("application/json"))return this.onerror?.(Error("Unsupported Media Type: Content-Type must be application/json")),this.createJsonErrorResponse(415,-32000,"Unsupported Media Type: Content-Type must be application/json");let K={headers:Object.fromEntries(Q.headers.entries()),url:new URL(Q.url)},z;if(J?.parsedBody!==void 0)z=J.parsedBody;else try{z=await Q.json()}catch{return this.onerror?.(Error("Parse error: Invalid JSON")),this.createJsonErrorResponse(400,-32700,"Parse error: Invalid JSON")}let q;try{if(Array.isArray(z))q=z.map((E)=>vs.parse(E));else q=[vs.parse(z)]}catch{return this.onerror?.(Error("Parse error: Invalid JSON-RPC message")),this.createJsonErrorResponse(400,-32700,"Parse error: Invalid JSON-RPC message")}let F=q.some(xs);if(F){if(this._initialized&&this.sessionId!==void 0)return this.onerror?.(Error("Invalid Request: Server already initialized")),this.createJsonErrorResponse(400,-32600,"Invalid Request: Server already initialized");if(q.length>1)return this.onerror?.(Error("Invalid Request: Only one initialization request is allowed")),this.createJsonErrorResponse(400,-32600,"Invalid Request: Only one initialization request is allowed");if(this.sessionId=this.sessionIdGenerator?.(),this._initialized=!0,this.sessionId&&this._onsessioninitialized)await Promise.resolve(this._onsessioninitialized(this.sessionId))}if(!F){let E=this.validateSession(Q);if(E)return E;let T=this.validateProtocolVersion(Q);if(T)return T}if(!q.some(u4)){for(let E of q)this.onmessage?.(E,{authInfo:J?.authInfo,requestInfo:K});return new Response(null,{status:202})}let V=crypto.randomUUID(),O=q.find((E)=>xs(E)),P=O?O.params.protocolVersion:Q.headers.get("mcp-protocol-version")??wq0;if(this._enableJsonResponse)return new Promise((E)=>{this._streamMapping.set(V,{resolveJson:E,cleanup:()=>{this._streamMapping.delete(V)}});for(let T of q)if(u4(T))this._requestToStreamMapping.set(T.id,V);for(let T of q)this.onmessage?.(T,{authInfo:J?.authInfo,requestInfo:K})});let N=new TextEncoder,I,R=new ReadableStream({start:(E)=>{I=E},cancel:()=>{this._streamMapping.delete(V)}}),w={"Content-Type":"text/event-stream","Cache-Control":"no-cache",Connection:"keep-alive"};if(this.sessionId!==void 0)w["mcp-session-id"]=this.sessionId;for(let E of q)if(u4(E))this._streamMapping.set(V,{controller:I,encoder:N,cleanup:()=>{this._streamMapping.delete(V);try{I.close()}catch{}}}),this._requestToStreamMapping.set(E.id,V);await this.writePrimingEvent(I,N,V,P);for(let E of q){let T,y;if(u4(E)&&this._eventStore&&P>="2025-11-25")T=()=>{this.closeSSEStream(E.id)},y=()=>{this.closeStandaloneSSEStream()};this.onmessage?.(E,{authInfo:J?.authInfo,requestInfo:K,closeSSEStream:T,closeStandaloneSSEStream:y})}return new Response(R,{status:200,headers:w})}catch(G){return this.onerror?.(G),this.createJsonErrorResponse(400,-32700,"Parse error",{data:String(G)})}}async handleDeleteRequest(Q){let J=this.validateSession(Q);if(J)return J;let G=this.validateProtocolVersion(Q);if(G)return G;return await Promise.resolve(this._onsessionclosed?.(this.sessionId)),await this.close(),new Response(null,{status:200})}validateSession(Q){if(this.sessionIdGenerator===void 0)return;if(!this._initialized)return this.onerror?.(Error("Bad Request: Server not initialized")),this.createJsonErrorResponse(400,-32000,"Bad Request: Server not initialized");let J=Q.headers.get("mcp-session-id");if(!J)return this.onerror?.(Error("Bad Request: Mcp-Session-Id header is required")),this.createJsonErrorResponse(400,-32000,"Bad Request: Mcp-Session-Id header is required");if(J!==this.sessionId)return this.onerror?.(Error("Session not found")),this.createJsonErrorResponse(404,-32001,"Session not found");return}validateProtocolVersion(Q){let J=Q.headers.get("mcp-protocol-version");if(J!==null&&!qz.includes(J))return this.onerror?.(Error(`Bad Request: Unsupported protocol version: ${J} (supported versions: ${qz.join(", ")})`)),this.createJsonErrorResponse(400,-32000,`Bad Request: Unsupported protocol version: ${J} (supported versions: ${qz.join(", ")})`);return}async close(){this._streamMapping.forEach(({cleanup:Q})=>{Q()}),this._streamMapping.clear(),this._requestResponseMap.clear(),this.onclose?.()}closeSSEStream(Q){let J=this._requestToStreamMapping.get(Q);if(!J)return;let G=this._streamMapping.get(J);if(G)G.cleanup()}closeStandaloneSSEStream(){let Q=this._streamMapping.get(this._standaloneSseStreamId);if(Q)Q.cleanup()}async send(Q,J){let G=J?.relatedRequestId;if(C5(Q)||Uz(Q))G=Q.id;if(G===void 0){if(C5(Q)||Uz(Q))throw Error("Cannot send a response on a standalone SSE stream unless resuming a previous client request");let z;if(this._eventStore)z=await this._eventStore.storeEvent(this._standaloneSseStreamId,Q);let q=this._streamMapping.get(this._standaloneSseStreamId);if(q===void 0)return;if(q.controller&&q.encoder)this.writeSSEEvent(q.controller,q.encoder,Q,z);return}let H=this._requestToStreamMapping.get(G);if(!H)throw Error(`No connection established for request ID: ${String(G)}`);let K=this._streamMapping.get(H);if(!this._enableJsonResponse&&K?.controller&&K?.encoder){let z;if(this._eventStore)z=await this._eventStore.storeEvent(H,Q);this.writeSSEEvent(K.controller,K.encoder,Q,z)}if(C5(Q)||Uz(Q)){this._requestResponseMap.set(G,Q);let z=Array.from(this._requestToStreamMapping.entries()).filter(([F,D])=>D===H).map(([F])=>F);if(z.every((F)=>this._requestResponseMap.has(F))){if(!K)throw Error(`No connection established for request ID: ${String(G)}`);if(this._enableJsonResponse&&K.resolveJson){let F={"Content-Type":"application/json"};if(this.sessionId!==void 0)F["mcp-session-id"]=this.sessionId;let D=z.map((V)=>this._requestResponseMap.get(V));if(D.length===1)K.resolveJson(new Response(JSON.stringify(D[0]),{status:200,headers:F}));else K.resolveJson(new Response(JSON.stringify(D),{status:200,headers:F}))}else K.cleanup();for(let F of z)this._requestResponseMap.delete(F),this._requestToStreamMapping.delete(F)}}}}class WQ0{constructor(Q={}){this._requestContext=new WeakMap,this._webStandardTransport=new GQ0(Q),this._requestListener=YQ0(async(J)=>{let G=this._requestContext.get(J);return this._webStandardTransport.handleRequest(J,{authInfo:G?.authInfo,parsedBody:G?.parsedBody})},{overrideGlobalObjects:!1})}get sessionId(){return this._webStandardTransport.sessionId}set onclose(Q){this._webStandardTransport.onclose=Q}get onclose(){return this._webStandardTransport.onclose}set onerror(Q){this._webStandardTransport.onerror=Q}get onerror(){return this._webStandardTransport.onerror}set onmessage(Q){this._webStandardTransport.onmessage=Q}get onmessage(){return this._webStandardTransport.onmessage}async start(){return this._webStandardTransport.start()}async close(){return this._webStandardTransport.close()}async send(Q,J){return this._webStandardTransport.send(Q,J)}async handleRequest(Q,J,G){let H=Q.auth;await YQ0(async(z)=>{return this._webStandardTransport.handleRequest(z,{authInfo:H,parsedBody:G})},{overrideGlobalObjects:!1})(Q,J)}closeSSEStream(Q){this._webStandardTransport.closeSSEStream(Q)}closeStandaloneSSEStream(){this._webStandardTransport.closeStandaloneSSEStream()}}var t80=require("obsidian");function nF0(Q){if(Q instanceof gQ)return Q;if(Q instanceof e.errors){let J=Q.summary;return new gQ(nQ.InvalidParams,J)}if(e({message:"string"}).allows(Q))return new gQ(nQ.InternalError,Q.message);return new gQ(nQ.InternalError,"An unexpected error occurred",Q)}function HQ0(Q){if(Array.isArray(Q)){for(let G of Q)HQ0(G);return}if(typeof Q!=="object"||Q===null)return;let J=Q;if(Array.isArray(J.anyOf)){let G=J.anyOf.filter((H)=>typeof H==="object"&&H!==null);if(typeof J.description==="string"){for(let H of G)if(H.description===J.description)delete H.description}else{let H=new Set(G.map((K)=>K.description));if(H.size===1){let[K]=H;if(typeof K==="string"){J.description=K;for(let z of G)delete z.description}}}}for(let G of Object.values(J))HQ0(G)}function AWQ(Q){let J=typeof Q==="object"&&Q!==null?Q:{type:"object"},G=structuredClone(J);if(HQ0(G),!("type"in G))G.type="object";if(!("properties"in G))G.properties={};let H=G.additionalProperties;if(H!==void 0&&typeof H==="object"&&H!==null&&Object.keys(H).length===0)delete G.additionalProperties;return G}var KWQ=e({type:'"text"',text:"string"}),zWQ=e({type:'"image"',data:"string.base64",mimeType:"string"}),VWQ=e({type:'"audio"',data:"string.base64",mimeType:"string"}),fY8=e({content:KWQ.or(zWQ).or(VWQ).array(),"isError?":"boolean","structuredContent?":e("Record<string, unknown>")});class BQ0 extends Map{enabled=new Set;listCache=null;annotationsByName=new Map;byName=new Map;toolNameOf=(Q)=>{let G=Q.get("name").toJsonSchema().const;if(typeof G!=="string")throw Error("tool schema has no string-literal name");return G};setAnnotations=(Q)=>{for(let[J,G]of Object.entries(Q))this.annotationsByName.set(J,G);return this.listCache=null,this};register(Q,J){let G=this.toolNameOf(Q);if(this.byName.has(G))throw Error(`Tool already registered: ${G}`);return this.byName.set(G,Q),this.enable(Q),super.set(Q,J)}enable=(Q)=>{return this.enabled.add(Q),this.listCache=null,this};disable=(Q)=>{return this.enabled.delete(Q),this.listCache=null,this};enableByName=(Q)=>{let J=this.byName.get(Q);if(!J)return!1;return this.enable(J),!0};disableByName=(Q)=>{let J=this.byName.get(Q);if(!J)return!1;return this.disable(J),!0};list=()=>{return this.listCache??={tools:Array.from(this.enabled.values()).map((Q)=>{let J=this.toolNameOf(Q),G=this.annotationsByName.get(J);return{name:J,description:Q.description,inputSchema:AWQ(Q.get("arguments").toJsonSchema()),...G?{annotations:G}:{}}})},this.listCache};listAll=()=>Array.from(this.keys()).map((Q)=>({name:this.toolNameOf(Q),description:Q.description??"",enabled:this.enabled.has(Q)}));coerceBooleanParams=(Q,J)=>{let G=J.arguments,H=Q.get("arguments").exclude("undefined");if(!G||!H)return J;let K={...G};for(let[z,q]of Object.entries(G))if(H.get(z).exclude("undefined").expression==="boolean"&&typeof q==="string"&&["true","false"].includes(q))K[z]=q==="true";return{...J,arguments:K}};dispatch=async(Q,J)=>{try{let G=this.byName.get(Q.name),H=G?this.get(G):void 0;if(G&&H&&this.enabled.has(G)){let K=G.assert(this.coerceBooleanParams(G,Q));return await H(K,J)}throw new gQ(nQ.InvalidRequest,`Unknown tool: ${Q.name}`)}catch(G){let H=nF0(G);return SQ.error(`Error handling ${Q.name}`,{...H,message:H.message,stack:H.stack,error:G,tool:Q.name}),{content:[{type:"text",text:H.message}],isError:!0}}}}class AQ0{lister=async()=>[];handler=null;setLister(Q){this.lister=Q}setHandler(Q,J){this.handler=J}list=async()=>({prompts:await this.lister()});dispatch=async(Q)=>{if(!this.handler)throw new gQ(nQ.InvalidParams,`Prompt not found: ${Q.name}`);return this.handler(Q.name,Q.arguments??{})}}var u9={readOnlyHint:!0,openWorldHint:!1},XH={readOnlyHint:!1,destructiveHint:!1,openWorldHint:!1},lJ={readOnlyHint:!1,destructiveHint:!0,openWorldHint:!1},aF0={get_server_info:u9,get_active_file:u9,update_active_file:{...lJ,idempotentHint:!0},append_to_active_file:XH,patch_active_file:lJ,delete_active_file:lJ,show_file_in_obsidian:{...u9,idempotentHint:!0},list_vault_files:u9,get_vault_file:u9,get_vault_file_partial:u9,create_vault_file:{...lJ,idempotentHint:!0},append_to_vault_file:XH,patch_vault_file:lJ,delete_vault_file:lJ,rename_vault_file:lJ,rename_heading:lJ,create_vault_directory:{...XH,idempotentHint:!0},delete_vault_directory:lJ,search_vault:u9,search_vault_simple:u9,search_vault_smart:u9,search_and_replace:lJ,fetch:{readOnlyHint:!0,openWorldHint:!0},execute_obsidian_command:lJ,list_obsidian_commands:u9,execute_template:lJ,execute_dataview_query:u9,find_broken_links:u9,find_orphaned_notes:u9,get_backlinks:u9,get_outgoing_links:u9,get_files_by_tag:u9,list_tags:u9,list_property_values:u9,get_note_outline:u9,get_note_property:u9,set_note_property:{...lJ,idempotentHint:!0},delete_note_property:lJ,get_recent_files:u9,list_bookmarks:u9,get_or_create_daily_note:{...XH,idempotentHint:!0},get_or_create_periodic_note:{...XH,idempotentHint:!0},append_to_periodic_note:XH,get_canvas:u9,add_canvas_node:XH,connect_canvas_nodes:XH,tool_catalog:u9,activate_tool:{readOnlyHint:!1,destructiveHint:!1,idempotentHint:!0,openWorldHint:!1},activate_tools:{readOnlyHint:!1,destructiveHint:!1,idempotentHint:!0,openWorldHint:!1}};function xQ(Q){return{content:[{type:"text",text:Q}],isError:!0}}function OX(Q,J,G){return{content:[{type:"text",text:JSON.stringify({error:Q,errorCode:J,...G})}],isError:!0}}function J8(Q){return{content:[{type:"text",text:Q}]}}function qWQ(Q){return typeof Q==="object"&&Q!==null&&!Array.isArray(Q)}function MJ(Q){if(Q===void 0)return{content:[{type:"text",text:"null"}]};let J=JSON.stringify(Q),G=qWQ(Q)?Q:{result:Q};return{content:[{type:"text",text:J}],structuredContent:G}}var sF0=e({name:'"get_server_info"',arguments:{}}).describe("Returns health status and version of the MCP Connector server.");async function rF0(Q){let J=Q.getLocalTransport?.(),G={status:"ok",version:Q.pluginVersion,transport:"streamable-http",...J?{localTransport:J}:{}};return MJ(G)}var tF0=e({name:'"get_active_file"',arguments:{"format?":'"markdown"|"json"'}}).describe("Returns content of the currently active note. Default format is markdown; pass format=json to receive an object with content, frontmatter, tags, stat, and path.");async function eF0(Q){let J=Q.app.workspace.getActiveFile();if(!J)return xQ("No active file.");let G=await Q.app.vault.read(J);if(Q.arguments.format!=="json")return J8(G);let K=Q.app.metadataCache.getFileCache(J)?.frontmatter??{},z=Array.isArray(K.tags)?K.tags:[],q={path:J.path,content:G,frontmatter:K,tags:z,stat:{ctime:J.stat.ctime,mtime:J.stat.mtime,size:J.stat.size}};return J8(JSON.stringify(q))}var QD0=e({name:'"update_active_file"',arguments:{content:e("string").describe("Full new markdown content to replace the current active file's content with.")}}).describe("Overwrites the entire content of the currently active note with the supplied content.");async function XD0(Q){let J=Q.app.workspace.getActiveFile();if(!J)return xQ("No active file.");return await Q.app.vault.modify(J,Q.arguments.content),J8("OK")}function kZ(Q,J,G){let H=Q.split(`
`),K=[];for(let z of H){let q=z.match(/^(#{1,6})\s+(.+)$/);if(!q)continue;let F=q[1].length,D=q[2].trim();if(K.length=F-1,K[F-1]=D,D===J)return K.slice(0,F).join(G)}return null}function KQ0(Q,J){for(let G=0;G<Q.length;G++){let H=Q[G].match(/^(#{1,6})\s+(.+)$/);if(H&&H[2].trim()===J)return{line:G,level:H[1].length}}return null}function dJ(Q,J){if(J==="append"&&!Q.endsWith(`
`))return Q+`

`;return Q}function UWQ(Q,J){let G=Q.split(`
`),H=`^${J}`;for(let K=0;K<G.length;K++)if(G[K].trimEnd()===H){let z=K;while(z>0&&G[z-1].trim()!=="")z--;return{startLine:z,endLine:K}}return null}function zQ0(Q,J){for(let G=0;G<J;G++)if(/^#\s/.test(Q[G]))return!0;return!1}function VQ0(Q){return Q.some((J)=>/^#\s/.test(J))}function qQ0(Q){let J=Array(Q.length),G=!1;for(let H=0;H<Q.length;H++){J[H]=G;let K=Q[H].trim();if(K.startsWith("```")||K.startsWith("~~~"))G=!G}return J}function YD0(Q,J,G){if(J<0||J>=Q.length)return!1;if(Q[J].trim().startsWith("```"))return!0;if(G[J])return!0;let H=Q[J].trim(),K=(q)=>q.startsWith("|")&&q.endsWith("|"),z=(q)=>/^\|[\s:|-]+\|$/.test(q)&&q.includes("---");if(!K(H))return!1;if(z(H))return!0;for(let q=J-1;q>=0;q--){let F=Q[q].trim();if(F===""||!K(F))break;if(z(F))return!0}for(let q=J+1;q<Q.length;q++){let F=Q[q].trim();if(F===""||!K(F))break;if(z(F))return!0}return!1}function dj(Q,J){return YD0(Q,J,qQ0(Q))}function UQ0(Q,J,G){let H=qQ0(Q);for(let K=J;K<=G;K++)if(YD0(Q,K,H))return!0;return!1}function $Q0(Q,J,G){let H=qQ0(Q);for(let K=J+1;K<Q.length;K++){if(H[K])continue;let z=Q[K].match(/^(#{1,6})\s/);if(z&&z[1].length<=G)return K}return Q.length}function ZQ0(Q,J){if(!Q?.blocks)return null;let G=Q.blocks[J];if(!G)return null;return{startLine:G.position.start.line,endLine:G.position.end.line}}function FQ0(Q,J,G){if(!Array.isArray(Q))return{kind:"ok-string"};let H;try{H=JSON.parse(J)}catch{return{kind:"reject",message:JD0(G)}}if(H===null||Array.isArray(H))return{kind:"ok",value:H};return{kind:"reject",message:JD0(G)}}function JD0(Q){return`Refusing to replace array-valued frontmatter field "${Q}" with a scalar value: this would silently destroy the existing array `+"structure. Pass content as a JSON-encoded value — for example "+`'["new"]' to set a single-element array, '["a","b"]' for multiple elements, or 'null' to clear the field.`}function DQ0(Q,J){if(!Array.isArray(Q))return{kind:"string-concat"};let G;try{G=JSON.parse(J)}catch{return{kind:"array-push",values:[J]}}if(Array.isArray(G))return{kind:"array-push",values:G};return{kind:"array-push",values:[G]}}async function GD0(Q,J,G){let H=G.targetDelimiter??"::",K=G.targetType!=="block",z=G.createTargetIfMissing??K;if(G.targetType==="frontmatter"){let N=null;if(await Q.fileManager.processFrontMatter(J,(I)=>{let R=I,w=R[G.target];if(G.operation==="replace"){let T=FQ0(w,G.content,G.target);if(T.kind==="reject"){N=T.message;return}R[G.target]=T.kind==="ok"?T.value:G.content;return}let E=DQ0(w,G.content);if(E.kind==="array-push"){let T=w.slice();if(G.operation==="append")T.push(...E.values);else T.unshift(...E.values);R[G.target]=T;return}if(w==null){R[G.target]=G.content;return}R[G.target]=G.operation==="append"?String(w)+G.content:G.content+String(w)}),N!==null)return{content:[{type:"text",text:N}],isError:!0};return{content:[{type:"text",text:"File patched successfully"}]}}let q=await Q.vault.read(J),F=q.split(`
`);if(G.targetType==="heading"){let N=G.target;if(!G.target.includes(H)){let a=kZ(q,G.target,H);if(a)N=a}let I=N.split(H),R=I[I.length-1],w=KQ0(F,R);if(w===null){if(!z)return{content:[{type:"text",text:`Heading not found: ${G.target}`}],isError:!0};let a=dJ(G.content,G.operation);return await Q.vault.modify(J,q+a),{content:[{type:"text",text:"File patched successfully"}]}}let{line:E,level:T}=w;if(T>=2&&!z&&!zQ0(F,E)&&!G.allowRootHeadings&&VQ0(F))return{content:[{type:"text",text:`Heading "${G.target}" is a level-${T} heading with no level-1 (#) parent, while the document does contain an H1 elsewhere — the section boundary is ambiguous. Refusing to patch. Pass allowRootHeadings:true to target it explicitly, or createTargetIfMissing:true to bypass. (Files with no H1 at all are accepted automatically.)`}],isError:!0};let y=$Q0(F,E,T),x=dJ(G.content,G.operation),b=y<F.length&&/^#{1,6}\s/.test(F[y]),g=x===""||x.startsWith(`
`),l=x===""||x.endsWith(`
`),_;if(G.operation==="replace"){let a=g?[]:[""],r=b&&!l?[""]:[];_=[...F.slice(0,E+1),...a,x,...r,...F.slice(y)]}else if(G.operation==="prepend")_=[...F.slice(0,E+1),x,...F.slice(E+1)];else _=[...F.slice(0,y),x,...F.slice(y)];return await Q.vault.modify(J,_.join(`
`)),{content:[{type:"text",text:"File patched successfully"}]}}let D=Q.metadataCache.getFileCache(J),V=ZQ0(D,G.target);if(!V)V=UWQ(q,G.target);if(!V){if(!z)return{content:[{type:"text",text:`Block not found: ^${G.target} (unresolved — block may be inside a table, which is not indexed by Obsidian's metadataCache)`}],isError:!0};let N=dJ(G.content,G.operation);return await Q.vault.modify(J,q+N),{content:[{type:"text",text:"File patched successfully"}]}}if(UQ0(F,V.startLine,V.endLine))return{content:[{type:"text",text:`Block "^${G.target}" resolved to line ${V.startLine+1} but it is inside a markdown table or fenced code block. Refusing to patch — replacing or splicing this region would corrupt the surrounding structure. Move the block id outside the table/code block to make it patchable.`}],isError:!0};let O=dJ(G.content,G.operation),P;if(G.operation==="replace")P=[...F.slice(0,V.startLine),O,...F.slice(V.endLine+1)];else if(G.operation==="prepend")P=[...F.slice(0,V.startLine),O,...F.slice(V.startLine)];else P=[...F.slice(0,V.endLine+1),O,...F.slice(V.endLine+1)];return await Q.vault.modify(J,P.join(`
`)),{content:[{type:"text",text:"File patched successfully"}]}}var WD0=e({name:'"append_to_active_file"',arguments:{content:e("string").describe("Markdown content to append at the end of the active note.")}}).describe("Appends content to the end of the currently active note. A trailing double newline is added when missing to keep the next section visually separated.");async function HD0(Q){let J=Q.app.workspace.getActiveFile();if(!J)return xQ("No active file.");let G=await Q.app.vault.read(J),H=dJ(Q.arguments.content,"append");return await Q.app.vault.modify(J,G+H),J8("OK")}var BD0=e({name:'"patch_active_file"',arguments:{operation:'"append"|"prepend"|"replace"',targetType:'"heading"|"block"|"frontmatter"',target:e("string>0").describe("Heading name, block id, or frontmatter key (depending on targetType)."),content:e("string").describe("Content to apply (semantics depend on operation+targetType)."),"targetDelimiter?":"string","createTargetIfMissing?":"boolean","allowRootHeadings?":e("boolean").describe("When true, allow targeting a level-2-or-deeper heading with no level-1 (#) parent even when the document contains an H1 elsewhere (the ambiguous 'mixed' case the H2-root guard rejects with createTargetIfMissing=false). Files with no H1 at all are accepted without this flag. Default false.")}}).describe("Patches the currently active note relative to a heading, block reference, or frontmatter key.");async function AD0(Q){let J=Q.app.workspace.getActiveFile();if(!J)return xQ("No active file.");return await $WQ(Q.app,J,Q.arguments)}async function $WQ(Q,J,G){let H=G.createTargetIfMissing??G.targetType!=="block",K=G.targetDelimiter??"::";if(G.targetType==="frontmatter"){let F=null;if(await Q.fileManager.processFrontMatter(J,(D)=>{let V=D,O=V[G.target];if(G.operation==="replace"){let N=FQ0(O,G.content,G.target);if(N.kind==="reject"){F=N.message;return}V[G.target]=N.kind==="ok"?N.value:G.content;return}let P=DQ0(O,G.content);if(P.kind==="array-push"){let N=O.slice();if(G.operation==="append")N.push(...P.values);else N.unshift(...P.values);V[G.target]=N;return}if(O==null){V[G.target]=G.content;return}V[G.target]=G.operation==="append"?String(O)+G.content:G.content+String(O)}),F!==null)return xQ(F);return J8("OK")}let z=await Q.vault.read(J),q=z.split(`
`);if(G.targetType==="heading"){let F=kZ(z,G.target,K);if(!F&&!H)return xQ(`Heading "${G.target}" not found and createTargetIfMissing=false.`);if(!F){let N=dJ(G.content,G.operation);return await Q.vault.modify(J,z+N),J8("OK")}let D=F.split(K).pop(),V=-1,O=0;for(let N=0;N<q.length;N++){let I=/^(#+)\s+(.+?)\s*$/.exec(q[N]);if(I&&I[2].trim()===D){V=N,O=I[1].length;break}}if(V!==-1&&O>=2&&!H&&!zQ0(q,V)&&!G.allowRootHeadings&&VQ0(q))return xQ(`Heading "${G.target}" is a level-${O} heading with no level-1 (#) parent, while the document does contain an H1 elsewhere — the section boundary is ambiguous. Refusing to patch. Pass allowRootHeadings:true to target it explicitly, or createTargetIfMissing:true to bypass. (Files with no H1 at all are accepted automatically.)`);let P=q.length;for(let N=V+1;N<q.length;N++){let I=/^(#+)\s+/.exec(q[N]);if(I&&I[1].length<=O){P=N;break}}if(G.operation==="append"){let N=dJ(G.content,"append");q.splice(P,0,N.replace(/\n$/,""))}else if(G.operation==="prepend")q.splice(V+1,0,G.content);else{let N=P<q.length&&/^#{1,6}\s/.test(q[P]),I=G.content===""||G.content.startsWith(`
`),R=G.content===""||G.content.endsWith(`
`),w=[];if(!I)w.push("");if(w.push(G.content),N&&!R)w.push("");q.splice(V+1,P-V-1,...w)}return await Q.vault.modify(J,q.join(`
`)),J8("OK")}if(G.targetType==="block"){let F=Q.metadataCache.getFileCache(J),D=ZQ0(F,G.target);if(!D&&!H)return xQ(`Block "^${G.target}" not found in active file (createTargetIfMissing=false).`);if(!D){let V=dJ(G.content,G.operation);return await Q.vault.modify(J,z+V),J8("OK")}if(UQ0(q,D.startLine,D.endLine))return xQ(`Block "^${G.target}" resolved to line ${D.startLine+1} but it is inside a markdown table or fenced code block. Refusing to patch — replacing or splicing this region would corrupt the surrounding structure. Move the block id outside the table/code block to make it patchable.`);if(G.operation==="append")q.splice(D.endLine+1,0,G.content);else if(G.operation==="prepend")q.splice(D.startLine,0,G.content);else q.splice(D.startLine,D.endLine-D.startLine+1,G.content);return await Q.vault.modify(J,q.join(`
`)),J8("OK")}return xQ(`Unknown targetType: ${G.targetType}`)}var KD0=e({name:'"delete_active_file"',arguments:{}}).describe("Deletes the currently active note from the vault.");async function zD0(Q){let J=Q.app.workspace.getActiveFile();if(!J)return xQ("No active file.");return await Q.app.fileManager.trashFile(J),J8("OK")}var VD0=e({name:'"show_file_in_obsidian"',arguments:{filename:e("string>0").describe("Vault-relative path (e.g. 'Notes/foo.md'). Created if missing."),"newLeaf?":"boolean"}}).describe("Opens the given file in the Obsidian UI. Creates it if it does not exist. Optionally opens in a new leaf (split).");async function qD0(Q){return await Q.app.workspace.openLinkText(Q.arguments.filename,"",Q.arguments.newLeaf??!1),J8("File opened successfully")}var UD0=e({name:'"list_vault_files"',arguments:{"directory?":e("string").describe("Optional vault-relative directory prefix. Empty/omitted = vault root (all files)."),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Lists vault files, optionally filtered by directory prefix. Returns an array of vault-relative paths.");async function $D0(Q){let J=Q.app.vault.getFiles(),G=Q.arguments.directory??"";if(G&&!G.endsWith("/"))G=G+"/";let H=G?J.filter((q)=>q.path.startsWith(G)).map((q)=>q.path):J.map((q)=>q.path),K=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),z=H.length>K;return J8(JSON.stringify({files:z?H.slice(0,K):H,...z?{truncated:!0,total:H.length}:{}}))}var ZD0=require("obsidian");function n6(Q,J){let G=Q.getAbstractFileByPath(J);if(!G)return{ok:!1,reason:"not_found"};if(!(G instanceof ZD0.TFile))return{ok:!1,reason:"not_a_file"};return{ok:!0,file:G}}var ZWQ=new Map([["png",{mime:"image/png",kind:"image"}],["jpg",{mime:"image/jpeg",kind:"image"}],["jpeg",{mime:"image/jpeg",kind:"image"}],["gif",{mime:"image/gif",kind:"image"}],["webp",{mime:"image/webp",kind:"image"}],["svg",{mime:"image/svg+xml",kind:"image"}],["bmp",{mime:"image/bmp",kind:"image"}],["tiff",{mime:"image/tiff",kind:"image"}],["tif",{mime:"image/tiff",kind:"image"}],["ico",{mime:"image/x-icon",kind:"image"}],["avif",{mime:"image/avif",kind:"image"}],["heic",{mime:"image/heic",kind:"image"}],["heif",{mime:"image/heif",kind:"image"}],["mp3",{mime:"audio/mpeg",kind:"audio"}],["wav",{mime:"audio/wav",kind:"audio"}],["m4a",{mime:"audio/mp4",kind:"audio"}],["ogg",{mime:"audio/ogg",kind:"audio"}],["opus",{mime:"audio/opus",kind:"audio"}],["flac",{mime:"audio/flac",kind:"audio"}],["aac",{mime:"audio/aac",kind:"audio"}],["wma",{mime:"audio/x-ms-wma",kind:"audio"}]]),FWQ=10485760,DWQ=new Set(["md","txt","csv","json","yaml","yml","html","xml","css","js","ts","canvas"]),FD0=e({name:'"get_vault_file"',arguments:{path:e("string>0").describe("Vault-relative path to the file."),"format?":e('"text"|"json"').describe('Force output format. "text" returns raw content; "json" returns content + frontmatter + tags as a structured object. Default: auto-detect by extension.')}}).describe("Reads a file from the vault. Markdown and other text files return a text content block. Supported image and audio files up to 10 MiB are returned as native MCP image/audio content blocks. Video, PDF, Office documents, archives, and oversized audio/image files return a structured JSON metadata hint.");function MWQ(Q){let J=new Uint8Array(Q),G=8192,H="";for(let K=0;K<J.length;K+=8192)H+=String.fromCharCode(...J.subarray(K,K+8192));return btoa(H)}async function DD0(Q){let J=n6(Q.app.vault,Q.arguments.path);if(!J.ok)return{content:[{type:"text",text:J.reason==="not_found"?`File not found: ${Q.arguments.path}`:`Path is a folder: ${Q.arguments.path}`}],isError:!0};let G=J.file,H=G.extension.toLowerCase(),K=ZWQ.get(H);if(Q.arguments.format==="json"){let F=await Q.app.vault.read(G),V=Q.app.metadataCache.getFileCache(G)?.frontmatter??{},O=Array.isArray(V.tags)?V.tags:[],P={ctime:G.stat?.ctime??0,mtime:G.stat?.mtime??0,size:G.stat?.size??0};return{content:[{type:"text",text:JSON.stringify({path:G.path,content:F,frontmatter:V,tags:O,stat:P})}]}}if(!K||Q.arguments.format==="text"){if(DWQ.has(H)||!H||Q.arguments.format==="text")return{content:[{type:"text",text:await Q.app.vault.read(G)}]};return{content:[{type:"text",text:JSON.stringify({kind:"binary_file",filename:G.path,mimeType:"application/octet-stream",hint:"This file is binary (video, PDF, Office document, or archive) and cannot be returned as text content. Use show_file_in_obsidian to open it in the Obsidian UI."})}]}}let z=await Q.app.vault.readBinary(G);if(z.byteLength>FWQ)return{content:[{type:"text",text:JSON.stringify({kind:"binary_file",filename:G.path,mimeType:K.mime,hint:"This file is too large to be returned inline (exceeds the 10 MiB cap to avoid overflowing the MCP client context window). Use show_file_in_obsidian to open it in the Obsidian UI."})}]};let q=MWQ(z);if(K.kind==="image")return{content:[{type:"image",data:q,mimeType:K.mime}]};return{content:[{type:"audio",data:q,mimeType:K.mime}]}}var MD0=require("obsidian");async function MQ0(Q,J){if(!J)return;let G=J.split("/").filter((K)=>K.length>0);if(G.length===0)return;let H="";for(let K of G){if(H=H?`${H}/${K}`:K,Q.vault.getAbstractFileByPath(H))continue;try{await Q.vault.createFolder(H)}catch(z){let q=z instanceof Error?z.message:String(z);if(!/already exists/i.test(q))throw z}}}async function RG(Q,J){let G=J.lastIndexOf("/");if(G<=0)return;await MQ0(Q,J.slice(0,G))}var LD0=e({name:'"create_vault_file"',arguments:{path:e("string>0").describe("Vault-relative path including extension (e.g. 'Notes/new.md'). Any missing parent directories are created automatically."),content:e("string").describe("Full content of the file. If the path already exists, the content is overwritten.")}}).describe("Creates a new file at the given vault-relative path. Overwrites the file if it already exists. Missing parent directories along the path are created automatically.");async function OD0(Q){let J=Q.app.vault.getAbstractFileByPath(Q.arguments.path);if(J){if(!(J instanceof MD0.TFile))return xQ(`Path ${Q.arguments.path} is a folder, not a file.`);await Q.app.vault.modify(J,Q.arguments.content)}else await RG(Q.app,Q.arguments.path),await Q.app.vault.create(Q.arguments.path,Q.arguments.content);return J8("OK")}var PD0=e({name:'"append_to_vault_file"',arguments:{path:e("string>0").describe("Vault-relative path. Any missing parent directories are created automatically when the file does not exist."),content:e("string").describe("Markdown content to append.")}}).describe("Appends content to a vault file. Creates the file (and any missing parent directories) if it does not exist.");async function ND0(Q){let J=dJ(Q.arguments.content,"append"),G=n6(Q.app.vault,Q.arguments.path);if(G.ok){let H=await Q.app.vault.read(G.file);await Q.app.vault.modify(G.file,H+J)}else if(G.reason==="not_a_file")return xQ(`Path ${Q.arguments.path} is a folder, not a file.`);else await RG(Q.app,Q.arguments.path),await Q.app.vault.create(Q.arguments.path,J);return J8("OK")}var jD0=e({name:'"patch_vault_file"',arguments:{path:e("string>0").describe("Vault-relative path to the file to patch."),operation:'"append"|"prepend"|"replace"',targetType:'"heading"|"block"|"frontmatter"',target:e("string>0").describe("Heading name, block id (without ^), or frontmatter key."),content:e("string").describe("Content to apply."),"targetDelimiter?":e("string").describe("Delimiter used to join ancestor heading names (default: '::')."),"createTargetIfMissing?":e("boolean").describe("Creates the target if not found. Default true for heading/frontmatter, false for block. Pass false to fail loud when patching an H2-or-deeper heading in a file with no parent H1."),"allowRootHeadings?":e("boolean").describe("Allows targeting an H2-or-deeper heading with no H1 parent in a file that has an H1 elsewhere (otherwise rejected when createTargetIfMissing=false). Default false.")}}).describe("Patches a vault file relative to a heading, block reference, or frontmatter key. Unlike patch_active_file, operates on any file by vault-relative path.");async function CD0(Q){let J=n6(Q.app.vault,Q.arguments.path);if(!J.ok)return J.reason==="not_found"?xQ(`File not found: ${Q.arguments.path}`):xQ(`Path is a folder: ${Q.arguments.path}`);let G=J.file,H={...Q.arguments};return delete H.path,await GD0(Q.app,G,H)}var ID0=e({name:'"delete_vault_file"',arguments:{path:e("string>0").describe("Vault-relative path of the file to delete.")}}).describe("Deletes a file from the vault.");async function RD0(Q){let J=Q.app.vault.getAbstractFileByPath(Q.arguments.path);if(!J)return xQ(`File not found: ${Q.arguments.path}`);return await Q.app.fileManager.trashFile(J),J8("OK")}var wD0=e({name:'"rename_vault_file"',arguments:{from:e("string>0").describe("Vault-relative path of the source file, including extension (e.g. 'Notes/old.md')."),to:e("string>0").describe("Vault-relative destination path, including extension (e.g. 'Notes/new.md'). Parent directory must already exist — missing ancestors are NOT auto-created.")}}).describe("Renames or moves a vault file via app.fileManager.renameFile, preserving link integrity (wikilinks, markdown links, embeds, and frontmatter aliases referencing the file are rewritten across the vault). Source must exist, destination must not exist, destination parent directory must already exist.");async function ED0(Q){let{from:J,to:G}=Q.arguments;if(J===G)return{content:[{type:"text",text:`Source and destination are identical: ${J}`}],isError:!0};let H=Q.app.vault.getAbstractFileByPath(J);if(!H)return xQ(`Source file not found: ${J}`);if(Q.app.vault.getAbstractFileByPath(G))return xQ(`Destination already exists: ${G}`);let K=G.lastIndexOf("/");if(K>0){let z=G.slice(0,K);if(!Q.app.vault.getAbstractFileByPath(z))return xQ(`Destination parent directory does not exist: ${z}`)}try{await Q.app.fileManager.renameFile(H,G)}catch(z){return xQ(`Failed to rename: ${z instanceof Error?z.message:String(z)}`)}return{content:[{type:"text",text:JSON.stringify({ok:!0,path:G})}]}}var OQ0=require("obsidian");function LWQ(Q,J,G){let H=[];for(let K of Q){if(K.heading!==G.text)continue;if(G.level!==void 0&&K.level!==G.level)continue;if(dj(J,K.position.start.line))continue;H.push({line:K.position.start.line,level:K.level,text:K.heading})}if(H.length===0){let K=G.level!==void 0?` at level ${G.level}`:"";return{errorCode:"heading-not-found",message:`Heading not found: "${G.text}"${K}.`}}if(H.length>1)return{errorCode:"ambiguous-heading",message:`Ambiguous heading match for "${G.text}": ${H.length} candidates. Pass \`from.level\` to disambiguate.`,candidates:H};return H[0]}function OWQ(Q,J,G,H,K){for(let z of Q){if(z.position.start.line===K)continue;if(z.heading!==G)continue;if(z.level!==H)continue;if(dj(J,z.position.start.line))continue;return{errorCode:"heading-collision",message:`Heading collision: "${G}" already exists at level ${H} on line ${z.position.start.line+1}. Refusing to rename; resolve the collision first or rename the existing heading instead.`}}return null}function PWQ(Q,J,G,H){let K=Q[J],z=/^(\s*#{1,6}\s+)(.+?)(\s+\^\S+)?(\s*)$/,q=K.match(z);if(!q){let P=Q.slice();return P[J]=`${"#".repeat(H)} ${G}`,P}let[,F,,D="",V=""]=q,O=Q.slice();return O[J]=`${F}${G}${D}${V}`,O}var LQ0=" > ";function NWQ(Q){try{return decodeURIComponent(Q)}catch{return Q}}function jWQ(Q){return Q.replace(/%/g,"%25").replace(/ /g,"%20").replace(/#/g,"%23").replace(/\?/g,"%3F").replace(/&/g,"%26").replace(/\[/g,"%5B").replace(/\]/g,"%5D")}function CWQ(Q){if(!Q.includes(LQ0))return{segments:[Q],hadPath:!1};return{segments:Q.split(LQ0).map((G)=>G.trim()),hadPath:!0}}function SD0(Q,J,G){let{segments:H,hadPath:K}=CWQ(Q),z=!1,q=H.map((F)=>{if(F===J)return z=!0,G;return F});if(!z)return null;return K?q.join(LQ0):q[0]}function TD0(Q,J,G,H,K,z){let q=0,F=/\[\[([^\]]+?)\]\]/g,D=/\[([^\]]*)\]\(([^)]+)\)/g,V=(N)=>{let I=N.replace(F,(R,w)=>{let E=w.indexOf("#");if(E===-1)return R;let T=w.slice(0,E),y=w.slice(E+1),x=y.indexOf("|"),b=x===-1?y:y.slice(0,x),g=x===-1?"":y.slice(x);if(z(T===""?K:T,K)!==H)return R;let a=SD0(b,J,G);if(a===null)return R;return q++,`[[${T}#${a}${g}]]`});return I=I.replace(D,(R,w,E)=>{let T=E.indexOf("#");if(T===-1)return R;let y=E.slice(0,T),x=E.slice(T+1);if(z(y,K)!==H)return R;let g=NWQ(x),l=SD0(g,J,G);if(l===null)return R;return q++,`[${w}](${y}#${jWQ(l)})`}),I},O=Q.split(`
`);return{newText:O.map((N,I)=>dj(O,I)?N:V(N)).join(`
`),rewriteCount:q}}function kD0(Q){let J=Q.sourceText.split(`
`),G=LWQ(Q.sourceHeadings,J,Q.from);if("errorCode"in G)return G;if(G.text===Q.to)return{errorCode:"heading-collision",message:`Heading "${Q.to}" is already the current heading text (line ${G.line+1}, level ${G.level}). No-op rename.`};let H=OWQ(Q.sourceHeadings,J,Q.to,G.level,G.line);if(H)return H;let z=PWQ(J,G.line,Q.to,G.level).join(`
`),q=TD0(z,G.text,Q.to,Q.sourcePath,Q.sourcePath,Q.resolve),F={path:Q.sourcePath,newText:q.newText,matchedHeading:G},D=[],V=q.rewriteCount;for(let[O,P]of Object.entries(Q.backlinkers)){if(O===Q.sourcePath)continue;let{newText:N,rewriteCount:I}=TD0(P,G.text,Q.to,Q.sourcePath,O,Q.resolve);if(I===0)continue;D.push({path:O,newText:N,rewriteCount:I}),V+=I}return{source:F,backlinkers:D,linkRewriteCount:V}}var yD0=e({name:'"rename_heading"',arguments:{path:e("string>0").describe("Vault-relative path of the file containing the heading to rename."),from:{text:e("string>0").describe("Exact (case-sensitive) heading text to match. Cache-derived; matching is case-sensitive, mirroring Obsidian's link resolution."),"level?":e("1<=number.integer<=6").describe("Heading level (1-6). Optional. When omitted, ambiguity across levels surfaces as `errorCode: ambiguous-heading` with a `candidates` array.")},to:e("string>0").describe("New heading text. Must not match an existing same-level heading in the file (fail-loud per `heading-collision`).")}}).describe("Renames a heading in a vault file and rewrites every backlinking reference (wikilinks, markdown links, subheading-path links) across the vault to keep link integrity. Two-phase commit: dry-run plan first, then apply atomically. Fails loud on missing heading, multi-match ambiguity, or destination collision. Out of scope for v1: frontmatter aliases. Implements RFC #68.");function yZ(Q){return xQ(JSON.stringify(Q))}function IWQ(Q){return J8(JSON.stringify(Q))}function RWQ(Q){return xQ(JSON.stringify(Q))}function wWQ(Q,J){let G=[];for(let[H,K]of Object.entries(Q)){if(H===J)continue;if(J in K)G.push(H)}return G}async function vD0(Q){let{path:J,from:G,to:H}=Q.arguments,K=n6(Q.app.vault,J);if(!K.ok)return yZ({errorCode:"file-not-found",message:`Source file not found: ${J}`});let z=K.file,q=await Q.app.vault.cachedRead(z),D=(Q.app.metadataCache.getFileCache(z)??{}).headings??[],V=Q.app.metadataCache.resolvedLinks??{},O=wWQ(V,J),P={};for(let E of O){let T=Q.app.vault.getAbstractFileByPath(E);if(!(T instanceof OQ0.TFile))continue;try{P[E]=await Q.app.vault.cachedRead(T)}catch{continue}}let I=kD0({sourcePath:J,sourceText:q,sourceHeadings:D,from:G,to:H,backlinkers:P,resolve:(E,T)=>{return Q.app.metadataCache.getFirstLinkpathDest?.(E,T)?.path??null}});if("errorCode"in I)return EWQ(I);let R=[],w=[];try{if(await Q.app.vault.cachedRead(z)!==q)return yZ({errorCode:"source-write-failed",message:"Source file changed between plan and apply; aborted before any write to avoid overwriting a concurrent edit. Re-run the rename."});await Q.app.vault.modify(z,I.source.newText),R.push(I.source.path)}catch(E){return yZ({errorCode:"source-write-failed",message:`Failed to write source file: ${E instanceof Error?E.message:String(E)}`})}for(let E of I.backlinkers){let T=Q.app.vault.getAbstractFileByPath(E.path);if(!(T instanceof OQ0.TFile)){w.push({path:E.path,error:"Backlinker file disappeared between plan and apply."});continue}try{if(await Q.app.vault.cachedRead(T)!==P[E.path]){w.push({path:E.path,error:"File changed between plan and apply; left untouched to avoid overwriting a concurrent edit. Re-run the rename."});continue}await Q.app.vault.modify(T,E.newText),R.push(E.path)}catch(y){w.push({path:E.path,error:y instanceof Error?y.message:String(y)})}}if(w.length>0)return RWQ({errorCode:"partial-failure",message:`Heading renamed but ${w.length} backlinker write(s) failed. The source file was updated; some references may still point at the old heading.`,updatedFiles:R,failedFiles:w,linkRewriteCount:I.linkRewriteCount});return IWQ({ok:!0,updatedFiles:R,linkRewriteCount:I.linkRewriteCount})}function EWQ(Q){if(Q.errorCode==="ambiguous-heading")return yZ({errorCode:Q.errorCode,message:Q.message,candidates:Q.candidates});return yZ({errorCode:Q.errorCode,message:Q.message})}var xD0=e({name:'"create_vault_directory"',arguments:{path:e("string>0").describe("Vault-relative directory path (e.g. 'Projects/2026/Q2'). Any missing intermediate ancestors are created. The leading and trailing slashes are tolerated but ignored.")}}).describe("Creates a directory at the given vault-relative path, recursively creating any missing parent directories. Idempotent — succeeds silently if the directory already exists.");async function bD0(Q){let J=Q.arguments.path.replace(/^\/+|\/+$/g,"");if(!J)return xQ("Path is empty after normalisation; cannot create the vault root.");let G=Q.app.vault.getAbstractFileByPath(J);if(G){if(G.children===void 0)return xQ(`A file already exists at ${J}; cannot create directory with the same path.`);return J8("OK")}return await MQ0(Q.app,J),J8("OK")}var gD0=e({name:'"delete_vault_directory"',arguments:{path:e("string>0").describe("Vault-relative directory path to delete (e.g. 'Archive/old-project'). Cannot be empty or the vault root."),"recursive?":e('"true" | "false"').describe('When `"true"`, deletes the directory together with every file and sub-directory it contains. When `"false"` (default), the call fails if the directory is non-empty. Use `"true"` deliberately — this operation is irreversible from MCP and bypasses the trash setting.')}}).describe('Deletes a directory from the vault. Defaults to non-recursive (fails if the directory is not empty). Use `recursive: "true"` to remove the directory and all its contents in one call. Bottoms out in `app.vault.adapter.rmdir`, so deleted content does NOT go through the Obsidian trash.');async function hD0(Q){let J=Q.arguments.path.replace(/^\/+|\/+$/g,"");if(!J)return xQ("Path is empty after normalisation; refusing to delete the vault root.");let G=(Q.arguments.recursive??"false")==="true",H=Q.app.vault.getAbstractFileByPath(J);if(H){if(H.children===void 0)return xQ(`Path ${J} is a file, not a directory. Use delete_vault_file instead.`)}try{await Q.app.vault.adapter.rmdir(J,G)}catch(K){let z=K?.code,q=z==="ENOTEMPTY"?'directory not empty (use recursive: "true" to delete it together with its contents)':z==="ENOENT"?"directory does not exist":z==="EACCES"||z==="EPERM"?"permission denied":K instanceof Error?K.message:String(K);return{content:[{type:"text",text:`Failed to delete directory ${J}: ${q}`}],isError:!0}}return J8("OK")}var uD0=K7(fD0(),1);var mD0=e({name:'"execute_dataview_query"',arguments:{query:e("string>0").describe('Dataview DQL query. Supports `TABLE`, `LIST`, `TASK`, and `CALENDAR` query types. Examples: `TABLE file.mtime FROM "Projects"`, `LIST FROM #client`, `TASK WHERE !completed`. For large vaults prefer `LIMIT n` in the query itself — the tool returns the full result with no row cap.'),"sourcePath?":e("string>0").describe("Optional vault-relative origin file. Establishes relative-link / `this.*` resolution context for the query (maps to Dataview's `originFile` internally).")}}).describe('Run a Dataview DQL query against the vault and return the native typed result. In-process via the Dataview plugin API (`app.plugins.plugins.dataview.api.query`) — no Local REST API required. Returns the typed shape per query type: TABLE → `{type:"table", headers, values}`, LIST → `{type:"list", values}`, TASK → `{type:"task", values}`, CALENDAR → `{type:"calendar", values}`. Requires the Dataview community plugin: `errorCode: "dataview_not_installed"` if absent, `dataview_not_ready` if loaded but the index has not finished building (retry shortly — Dataview fires `dataview:index-ready` when done), `dataview_query_failed` if the DQL itself is rejected (the underlying error is surfaced verbatim).');async function cj(Q){let{query:J,sourcePath:G}=Q.arguments,K=Q.app.plugins?.plugins?.dataview;if(!K)return vZ("The Dataview community plugin is not installed. Install it from Obsidian's community plugins and enable it, then retry.","dataview_not_installed",{query:J});if(!K.api)return vZ("Dataview is loaded but its index has not finished building yet. Retry shortly (Dataview fires `dataview:index-ready` when ready).","dataview_not_ready",{query:J});let z;try{z=await K.api.query(J,G)}catch(F){return vZ(String(F instanceof Error?F.message:F),"dataview_query_failed",{query:J})}if(!z.successful)return vZ(String(z.error),"dataview_query_failed",{query:J});let q;try{q=JSON.stringify(z.value)}catch{return vZ("Dataview result contains non-serialisable values (circular reference or BigInt). Add LIMIT or simplify the query to reduce result complexity.","dataview_query_failed",{query:J})}return{content:[{type:"text",text:q}]}}function vZ(Q,J,G){return xQ(JSON.stringify({error:Q,errorCode:J,...G}))}var pD0=e({name:'"search_vault"',arguments:{query:e("string>0").describe(`Dataview DQL query (e.g. 'TABLE FROM "Notes"') or JsonLogic expression (JSON string).`),"queryType?":e('"dataview"|"jsonlogic"').describe("Query language. Default: dataview.")}}).describe('Run a Dataview DQL or JsonLogic query against the vault. DQL: in-process via the Dataview plugin API — requires the Dataview community plugin (`errorCode: "dataview_not_installed"` if absent). JsonLogic: filter all vault markdown files by frontmatter/tags/path using a JsonLogic rule (JSON string); no additional plugin required. Returns the Dataview query result for DQL, or a JSON array of matching `{path}` objects for JsonLogic.');async function lD0(Q){let{query:J,queryType:G="dataview"}=Q.arguments;if(G==="jsonlogic"){let H;try{H=JSON.parse(J)}catch{return xQ('JsonLogic query must be a valid JSON string. Example: {"==": [{"var": "frontmatter.status"}, "active"]}')}let K=Q.app.vault.getMarkdownFiles().filter((z)=>{let q=Q.app.metadataCache.getFileCache(z),F={path:z.path,basename:z.basename,tags:(q?.tags??[]).map((D)=>D.tag),frontmatter:q?.frontmatter??{},created:z.stat.ctime,modified:z.stat.mtime,size:z.stat.size};try{return!!uD0.apply(H,F)}catch{return!1}}).map((z)=>({path:z.path}));return J8(JSON.stringify(K))}return cj({arguments:{query:J},app:Q.app})}var SWQ=100,TWQ=50,cD0=e({name:'"search_vault_simple"',arguments:{query:e("string>0").describe("Substring to search for (case-insensitive)."),"contextLength?":e("number.integer>=0").describe("Characters of context to include before/after each match. Default 100."),"limit?":e("number.integer>=1").describe("Max number of files to return matches from. Default 50.")}}).describe("Plain-text substring search across all markdown files in the vault. Returns each matching file with surrounding context for each hit."),dD0=8;function kWQ(Q){return Q.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")}async function iD0(Q){let J=Q.arguments.query,G=Q.arguments.contextLength??SWQ,H=Q.arguments.limit??TWQ,K=kWQ(J),z=Q.app.vault.getMarkdownFiles(),q=[];for(let F=0;F<z.length&&q.length<H;F+=dD0){let D=z.slice(F,F+dD0),V=await Promise.all(D.map(async(O)=>{let P=await Q.app.vault.cachedRead(O),N=[],I,R=new RegExp(K,"gi");while((I=R.exec(P))!==null){let w=I.index,E=Math.max(0,w-G),T=Math.min(P.length,w+J.length+G);N.push({context:P.slice(E,T),match:{start:w,end:w+J.length}}),R.lastIndex=w+J.length}return N.length>0?{filename:O.path,matches:N}:null}));for(let O of V){if(O===null)continue;if(q.length>=H)break;q.push(O)}}return J8(JSON.stringify({results:q}))}var oD0=!1;function ij(Q){let J=Q.metadataCache.isUserIgnored?.bind(Q.metadataCache);if(!J){if(!oD0)oD0=!0,SQ.warn("isUserIgnored unavailable — `Files & Links → Excluded files` filtering disabled for this session. If you see this in production, the Obsidian runtime API may have changed.");return()=>!1}return(G)=>J(G)}var nD0=e({name:'"search_vault_smart"',arguments:{query:e("string>0").describe("Natural-language search phrase. Returns notes ranked by semantic similarity."),"filter?":{"includeFolders?":e("string[]").describe("Restrict results to notes whose path starts with one of these folder prefixes."),"excludeFolders?":e("string[]").describe("Skip notes whose path starts with one of these folder prefixes.")},"limit?":e("number.integer>=1").describe("Maximum number of results to return. Default 10.")}}).describe("Semantic search through the configured semantic search provider — native Transformers.js (default) or Smart Connections, per Settings → MCP Connector → Semantic Search. Returns notes ranked by similarity to the query.");function oj(Q){return{content:[{type:"text",text:Q}],isError:!0}}async function aD0(Q){let J=Q.plugin.semanticSearchState;if(!J)return oj("Semantic search is not initialized yet. Reload the MCP Connector plugin and try again, or check the developer console for the setup error.");let G=J.settings,H=G?.provider==="smart-connections"||G?.provider==="auto"&&Qx(Q.plugin),K=G?.provider==="embedding-gemma"||G?.provider==="multilingual-e5-base";if(!H&&!K)J.startIndexerIfNeeded?.();let z=J.provider;if(!z.isReady()){if(J.pendingProvider)return oj(`Semantic search is not ready: the "${J.pendingProvider}" index is still being built. Open Settings → MCP Connector → Semantic Search and click "Rebuild now" if the build has not started yet.`);return oj(H?"Semantic search is not ready: the Smart Connections plugin is not loaded or has not finished indexing this vault. Wait for Smart Connections to finish loading, or open Settings → MCP Connector → Semantic Search to switch providers.":"Semantic search is not ready. The provider may still be loading the embedding model, or the configured backend is unavailable. Open Settings → MCP Connector → Semantic Search to choose or reconfigure a provider.")}let q;try{q=await z.search(Q.arguments.query,{folders:Q.arguments.filter?.includeFolders,excludeFolders:Q.arguments.filter?.excludeFolders,limit:Q.arguments.limit})}catch(D){let V=D instanceof Error?D.message:String(D);return oj(`Semantic search failed: ${V}`)}let F=ij(Q.app);return q=q.filter((D)=>!F(D.filePath)),J8(JSON.stringify({results:q}))}var sD0=e({name:'"list_obsidian_commands"',arguments:{"filter?":e("string").describe("Case-insensitive substring; matches against command id or display name."),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Lists registered Obsidian commands (core + plugins). Always read-only and unrestricted by command-permissions.");async function rD0(Q){let J=Q.app.commands.listCommands(),G=Q.arguments.filter?.toLowerCase(),H=G?J.filter((q)=>q.id.toLowerCase().includes(G)||q.name.toLowerCase().includes(G)):J,K=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),z=H.length>K;return J8(JSON.stringify({commands:z?H.slice(0,K):H,...z?{truncated:!0,total:H.length}:{}}))}var NQ0=0,jQ0=0;function tD0(){let Q=Date.now(),J=Math.floor(Q/60000)*60000;if(J!==NQ0)NQ0=J,jQ0=0;if(jQ0>=100)return{ok:!1,retryAfterMs:NQ0+60000-Q};return jQ0+=1,{ok:!0}}var eD0=e({name:'"execute_obsidian_command"',arguments:{commandId:e("string>0").describe("Obsidian command id to execute, e.g. 'editor:toggle-bold'. Use list_obsidian_commands to discover available commands. The user must have authorized this command in plugin settings.")}}).describe("Execute a registered Obsidian command by id. Gated by the command-permissions policy (deny-by-default + per-command allowlist, with optional modal confirmation) and rate-limited at 100/min. Always call list_obsidian_commands first to discover what commands exist in the current vault.");async function QM0(Q){let J=tD0();if(!J.ok){let q=Math.ceil((J.retryAfterMs??0)/1000);return xQ(`Rate limit exceeded: too many command executions in the last minute. Retry in ${q}s.`)}let G=Q.plugin;if(typeof G.checkCommandPermission!=="function")return xQ("Internal error: permission check not available on plugin.");let H=await G.checkCommandPermission(Q.arguments.commandId);if(H.outcome!=="allow"){let q=H.reason?`: ${H.reason}`:". Command is denied or not allowed by plugin settings.";return xQ(`Command denied${q}`)}if(!Q.app.commands.executeCommandById(Q.arguments.commandId))return xQ(`Command not found: '${Q.arguments.commandId}'. Use list_obsidian_commands to discover available commands.`);return J8(`Executed Obsidian command '${Q.arguments.commandId}'.`)}var LP0=require("obsidian"),OP0=K7(DP0(),1),fHQ=5000,mHQ=500000,MP0=30000;function uHQ(Q){let J=Q.replace(/^\[|\]$/g,"").toLowerCase();if(J==="localhost"||J.endsWith(".local")||J==="0.0.0.0"||J==="::"||J==="::1")return!0;let G=/^(\d{1,3})\.(\d{1,3})\.(\d{1,3})\.(\d{1,3})$/.exec(J);if(G){let[H,K]=[Number(G[1]),Number(G[2])];if(H===127)return!0;if(H===10)return!0;if(H===192&&K===168)return!0;if(H===169&&K===254)return!0;if(H===172&&K>=16&&K<=31)return!0;return!1}if(J.includes(":")){if(/^f[cd][0-9a-f]{0,2}:/.test(J))return!0;if(/^fe[89ab][0-9a-f]:/.test(J))return!0}return!1}function pHQ(Q){let J;try{J=new URL(Q)}catch{return"Invalid URL."}if(J.protocol!=="http:"&&J.protocol!=="https:")return`Unsupported URL scheme "${J.protocol}". Only http: and https: are allowed.`;if(uHQ(J.hostname))return`Refusing to fetch internal/loopback host "${J.hostname}".`;return null}var PP0=e({name:'"fetch"',arguments:{url:e("string").describe("URL to fetch."),"format?":e('"markdown"|"html"').describe("Response format. Default markdown (HTML→MD via Turndown)."),"maxLength?":e("number.integer>=1").describe("Maximum characters to return. Default 5000."),"startIndex?":e("number.integer>=0").describe("Starting character offset. Default 0.")}}).describe("Fetches a URL and returns the body as Markdown (default) or raw HTML, with pagination support for long pages.");async function NP0(Q){let J=Q.arguments.format??"markdown",G=Math.min(Q.arguments.maxLength??fHQ,mHQ),H=Q.arguments.startIndex??0,K=pHQ(Q.arguments.url);if(K)return xQ(`Fetch rejected: ${K}`);let z;try{let P,N=new Promise((I,R)=>{P=window.setTimeout(()=>R(Error("__FETCH_TIMEOUT__")),MP0)});try{z=await Promise.race([LP0.requestUrl({url:Q.arguments.url}),N])}finally{if(P)window.clearTimeout(P)}}catch(P){let N=P instanceof Error?P.message:String(P);if(N==="__FETCH_TIMEOUT__")return xQ(`Fetch failed: request timed out after ${MP0}ms.`);return xQ(`Fetch failed: ${N}`)}let q=z.text;if(J==="markdown")q=new OP0.default({headingStyle:"atx",hr:"---",bulletListMarker:"-",codeBlockStyle:"fenced"}).turndown(q);let F=q.slice(H,H+G),D=q.length,O=D>H+G?`

[Content truncated. ${D-H-G} characters remaining; resume with startIndex=${H+G}.]`:"";return J8(F+O)}var o80=require("obsidian");var lHQ=fP(),jP0=e({name:'"execute_template"',arguments:{templatePath:e("string>0").describe("Vault-relative path to the Templater template file (e.g. 'Templates/daily.md')."),"targetPath?":e("string").describe("Optional vault-relative path where the rendered file will be created. If omitted, the template is rendered and the content returned without writing a file."),"createFile?":e('"true"|"false"').describe('Set to "true" to create a file at targetPath after rendering. Ignored if targetPath is not supplied.'),"arguments?":e("Record<string, string>").describe("Optional key-value pairs forwarded to the template via tp.user.mcpTools.prompt(argName).")}}).describe('Renders a template via Templater when installed, else the core Templates plugin ({{title}}/{{date}}/{{time}} only). With targetPath and createFile="true" also creates the note at targetPath. Error codes: templater_not_installed, template_not_found, template_execution_failed, core_templates_execution_failed. `arguments` is Templater-only (warning on the core path).');async function CP0(Q){let J=Q.plugin.app.plugins.plugins["templater-obsidian"]?.templater;if(!J){let F=Q.app.internalPlugins?.plugins?.templates;if(F?.enabled)return dHQ(Q,F.instance?.options);return c3("No template engine found. Install Templater for dynamic templates, or enable the core Templates plugin for basic {{title}}/{{date}}/{{time}} substitution.","templater_not_installed",{templatePath:Q.arguments.templatePath})}let G=n6(Q.app.vault,Q.arguments.templatePath);if(!G.ok)return G.reason==="not_found"?c3(`Template not found: ${Q.arguments.templatePath}`,"template_not_found",{templatePath:Q.arguments.templatePath}):c3(`Template path is a folder: ${Q.arguments.templatePath}`,"template_not_found",{templatePath:Q.arguments.templatePath});let H=G.file,K=Q.arguments.createFile==="true",z=Q.arguments.arguments??{},q=(F)=>z[F]??"";return lHQ.run(async()=>{let F=J.functions_generator.generate_object.bind(J.functions_generator);J.functions_generator.generate_object=async function(D,V){let O=await F(D,V);return Object.assign(O,{mcpTools:{prompt:q}}),O};try{let D=J.create_running_config(H,H,pP.RunMode.CreateNewFromTemplate),V=await J.read_and_parse_template(D);if(K&&Q.arguments.targetPath)return await RG(Q.app,Q.arguments.targetPath),await Q.app.vault.create(Q.arguments.targetPath,V),{content:[{type:"text",text:JSON.stringify({message:"Template executed and file created successfully",content:V,path:Q.arguments.targetPath})}]};return{content:[{type:"text",text:JSON.stringify({message:"Template executed without creating a file",content:V})}]}}catch(D){let V=D instanceof Error?D.message:String(D);return c3(`Template execution failed: ${V}`,"template_execution_failed",{templatePath:Q.arguments.templatePath})}finally{J.functions_generator.generate_object=F}})}async function dHQ(Q,J){let{templatePath:G,targetPath:H,createFile:K,arguments:z}=Q.arguments,q=n6(Q.app.vault,G);if(!q.ok)return q.reason==="not_found"?c3(`Template not found: ${G}`,"template_not_found",{templatePath:G}):c3(`Template path is a folder: ${G}`,"template_not_found",{templatePath:G});let F=q.file,D;try{D=await Q.app.vault.read(F)}catch(T){return c3(`Core Templates could not read template file: ${T instanceof Error?T.message:String(T)}`,"core_templates_execution_failed",{templatePath:G})}let V=J?.dateFormat??"YYYY-MM-DD",O=J?.timeFormat??"HH:mm",P=(T)=>{return(T.split("/").pop()??T).replace(/\.[^.]+$/,"")},N=H?P(H):P(G),I=D.replace(/\{\{title\}\}/g,N).replace(/\{\{date\}\}/g,o80.moment().format(V)).replace(/\{\{time\}\}/g,o80.moment().format(O)),R=K==="true",E=z&&Object.keys(z).length>0?"arguments map is ignored by the core Templates engine (Templater-specific)":void 0;if(R&&H)return await RG(Q.app,H),await Q.app.vault.create(H,I),{content:[{type:"text",text:JSON.stringify({message:"Template executed and file created successfully",content:I,path:H,...E?{warning:E}:{}})}]};return{content:[{type:"text",text:JSON.stringify({message:"Template executed without creating a file",content:I,...E?{warning:E}:{}})}]}}function c3(Q,J,G){return xQ(JSON.stringify({error:Q,errorCode:J,...G}))}var IP0=e({name:'"list_tags"',arguments:{"sort?":e('"name" | "count"').describe("Sort by tag name (alphabetical, ascending) or by usage count (descending). Defaults to 'count'."),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Lists all tags used across the vault with their usage counts. Aggregates both inline `#tags` and frontmatter tags via Obsidian's metadata cache. Useful for discovering content categories, finding related notes, and understanding vault organization. Always read-only.");async function RP0(Q){let J=Q.app.metadataCache.getTags(),G=Q.arguments.sort??"count",H=(V,O)=>V.localeCompare(O,"en",{sensitivity:"variant"}),K=Object.entries(J).sort((V,O)=>{if(G==="name")return H(V[0],O[0]);if(O[1]!==V[1])return O[1]-V[1];return H(V[0],O[0])}),z=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),q=K.map(([V,O])=>({tag:V,count:O})),F=q.length>z,D={totalTags:q.length,...F?{truncated:!0}:{},tags:F?q.slice(0,z):q};return J8(JSON.stringify(D))}var wP0=e({name:'"get_files_by_tag"',arguments:{tag:e("string>0").describe("Tag to search for. The leading `#` is optional and matching is case-insensitive."),"includeNested?":e('"true" | "false"').describe('When `"true"` (default), `tag="#project"` matches `#project`, `#project/active`, `#project/archived`, etc., mirroring Obsidian\'s hierarchical tag pane behaviour. When `"false"`, only exact matches are returned.'),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Returns all vault files tagged with the given tag, with per-file occurrence count. Aggregates inline `#tags` and frontmatter tags via Obsidian's metadata cache (`getAllTags`). Sorted by occurrence count descending, with file path tiebreaker for determinism. Always read-only.");async function EP0(Q){let J=Q.arguments.tag.trim().replace(/^#+/,"").toLowerCase();if(!J)return xQ('Invalid tag: input is empty or contains only "#" characters.');let G=(Q.arguments.includeNested??"true")==="true",H=(V,O)=>V.localeCompare(O,"en",{sensitivity:"variant"}),K=(V)=>{if(V===J)return!0;if(G&&V.startsWith(`${J}/`))return!0;return!1},z=[];for(let V of Q.app.vault.getMarkdownFiles()){let O=Q.app.metadataCache.getFileCache(V);if(!O)continue;let P=0,N=O.tags??[];for(let R of N){let w=(R.tag??"").replace(/^#+/,"").toLowerCase();if(K(w))P++}let I=O.frontmatter?.tags;if(Array.isArray(I))for(let R of I){if(typeof R!=="string")continue;if(K(R.replace(/^#+/,"").toLowerCase()))P++}else if(typeof I==="string"){if(K(I.replace(/^#+/,"").toLowerCase()))P++}if(P>0)z.push({path:V.path,count:P})}z.sort((V,O)=>{if(O.count!==V.count)return O.count-V.count;return H(V.path,O.path)});let q=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),F=z.length>q,D={tag:`#${J}`,includeNested:G,totalFiles:z.length,...F?{truncated:!0}:{},files:F?z.slice(0,q):z};return J8(JSON.stringify(D))}var SP0=e({name:'"get_note_property"',arguments:{path:e("string>0").describe("Vault-relative path to the note (e.g. `Projects/Roadmap.md`)."),key:e("string>0").describe("Top-level frontmatter (YAML) key to read.")}}).describe('Reads a single frontmatter (note property) value from a vault note, preserving its native YAML type (string, number, boolean, or list). Returns `value: null` when the key is absent or the note has no frontmatter — that is not an error. Reads from Obsidian\'s metadata cache (no file I/O). Always read-only. To read the whole frontmatter block, use `get_vault_file_partial` with `mode:"frontmatter"`.');async function TP0(Q){let J=n6(Q.app.vault,Q.arguments.path);if(!J.ok)return{content:[{type:"text",text:J.reason==="not_found"?JSON.stringify({error:"File not found",errorCode:"file_not_found",path:Q.arguments.path}):JSON.stringify({error:"Path is a folder, not a file",errorCode:"not_a_file",path:Q.arguments.path})}],isError:!0};let G=J.file,H=Q.app.metadataCache.getFileCache(G)?.frontmatter,K=H&&Object.prototype.hasOwnProperty.call(H,Q.arguments.key)?H[Q.arguments.key]:null;return{content:[{type:"text",text:JSON.stringify({path:Q.arguments.path,key:Q.arguments.key,value:K??null})}]}}var kP0=e({name:'"set_note_property"',arguments:{path:e("string>0").describe("Vault-relative path to the note."),key:e("string>0").describe("Top-level frontmatter (YAML) key to set. Must not contain `:`, a newline, or a leading `#`."),value:e("string | number | boolean | string[] | number[] | null").describe("String, number, boolean, or homogeneous list of strings/numbers (dates as ISO 8601 strings). `null` removes the key. No mixed-type lists.")}}).describe('Sets one frontmatter key on a note atomically. Creates the frontmatter block if missing; `value: null` deletes the key. To replace the whole block use `patch_vault_file` with `targetType: "frontmatter"`.');function cHQ(Q){return/[:\n\r]/.test(Q)||Q.trimStart().startsWith("#")}function iHQ(Q){if(typeof Q!=="string")return Q;let J=Q.trim();if(!J.startsWith("["))return Q;try{let G=JSON.parse(J);if(!Array.isArray(G)||G.length===0)return Q;if(G.every((H)=>typeof H==="string"))return G;if(G.every((H)=>typeof H==="number"))return G}catch{}return Q}async function yP0(Q){let{path:J,key:G,value:H}=Q.arguments;if(cHQ(G))return{content:[{type:"text",text:JSON.stringify({error:"Invalid frontmatter key",errorCode:"invalid_key",key:G})}],isError:!0};let K=n6(Q.app.vault,J);if(!K.ok)return{content:[{type:"text",text:K.reason==="not_found"?JSON.stringify({error:"File not found",errorCode:"file_not_found",path:J}):JSON.stringify({error:"Path is a folder, not a file",errorCode:"not_a_file",path:J})}],isError:!0};let z=K.file;return await Q.app.fileManager.processFrontMatter(z,(F)=>{let D=F;if(H===null)delete D[G];else D[G]=iHQ(H)}),{content:[{type:"text",text:JSON.stringify({path:J,key:G,action:H===null?"deleted":"set"})}]}}var vP0=e({name:'"delete_note_property"',arguments:{path:e("string>0").describe("Vault-relative path to the note."),key:e("string>0").describe("Top-level frontmatter (YAML) key to remove.")}}).describe("Removes a single frontmatter (note property) key from a vault note via Obsidian's atomic `processFrontMatter` API. Idempotent: deleting a key that is absent (or a note with no frontmatter) succeeds as a no-op. To clear a key you can also call `set_note_property` with `value: null`.");async function xP0(Q){let{path:J,key:G}=Q.arguments,H=n6(Q.app.vault,J);if(!H.ok)return{content:[{type:"text",text:H.reason==="not_found"?JSON.stringify({error:"File not found",errorCode:"file_not_found",path:J}):JSON.stringify({error:"Path is a folder, not a file",errorCode:"not_a_file",path:J})}],isError:!0};let K=H.file;return await Q.app.fileManager.processFrontMatter(K,(z)=>{let q=z;delete q[G]}),MJ({path:J,key:G,action:"deleted"})}var bP0=e({name:'"list_property_values"',arguments:{key:e("string>0").describe("Frontmatter (YAML) key whose distinct values to enumerate across the vault."),"folder?":e("string").describe("Optional vault-relative folder prefix; only notes under it are scanned. Empty/omitted = whole vault."),"limit?":e("number>0").describe("Max distinct values to return (default 500), ordered by count descending. If more exist, `truncated` is true and `totalDistinct` reports the full count.")}}).describe("Enumerates the distinct values of a single frontmatter (note property) key across the vault, with per-value occurrence counts and native types preserved. List-valued frontmatter contributes each element. Scans Obsidian's metadata cache only (no file I/O), so it scales to large vaults. To find which notes carry a given value, use `search_vault` with a DQL/JsonLogic query. Always read-only.");async function gP0(Q){let{key:J}=Q.arguments,G=Q.arguments.limit??500,H=Q.arguments.folder??"";if(H&&!H.endsWith("/"))H=H+"/";let K=new Map,z=(V)=>{let O=JSON.stringify(V),P=K.get(O);if(P)P.count++;else K.set(O,{value:V,count:1,key:O})};for(let V of Q.app.vault.getMarkdownFiles()){if(H&&!V.path.startsWith(H))continue;let O=Q.app.metadataCache.getFileCache(V)?.frontmatter;if(!O||!Object.prototype.hasOwnProperty.call(O,J))continue;let P=O[J];if(Array.isArray(P))for(let N of P)z(N);else z(P)}let q=[...K.values()].sort((V,O)=>{if(O.count!==V.count)return O.count-V.count;return V.key.localeCompare(O.key,"en")}),F=q.length,D=q.slice(0,G).map(({value:V,count:O})=>({value:V,count:O}));return{content:[{type:"text",text:JSON.stringify({key:J,values:D,truncated:F>G,totalDistinct:F})}]}}var _P0=e({name:'"get_recent_files"',arguments:{"limit?":e("1<=number.integer<=100").describe("Maximum number of files to return (1-100, default 20). Values outside this range, zero, negative, or non-integer numbers are rejected at schema validation.")}}).describe("Returns the most recently modified markdown files in the vault, ordered by `mtime` descending with a `path` ascending tiebreaker on equal `mtime`. Each entry includes `path`, `mtime`, `ctime` (Unix epoch milliseconds), and `size` (bytes). Honours Obsidian's `Files & Links → Excluded files` configuration via `MetadataCache.isUserIgnored`; markdown-only via `vault.getMarkdownFiles()`. Useful for agent-recency context. Always read-only."),hP0=!1;async function fP0(Q){let J=Q.arguments.limit??20,G=Q.app.metadataCache.isUserIgnored?.bind(Q.app.metadataCache);if(!G&&!hP0)hP0=!0,SQ.warn("get_recent_files: app.metadataCache.isUserIgnored is unavailable — `Files & Links → Excluded files` filtering disabled for this session. If you see this in production, the Obsidian runtime API may have changed.");let H=Q.app.vault.getMarkdownFiles(),K=G?H.filter((V)=>!G(V.path)):H,z=K.length,q=(V,O)=>V.localeCompare(O,"en",{sensitivity:"variant"}),F=K.slice().sort((V,O)=>{if(O.stat.mtime!==V.stat.mtime)return O.stat.mtime-V.stat.mtime;return q(V.path,O.path)}).slice(0,J).map((V)=>({path:V.path,mtime:V.stat.mtime,ctime:V.stat.ctime,size:V.stat.size}));return J8(JSON.stringify({totalFiles:z,files:F}))}var mP0=e({name:'"get_vault_file_partial"',arguments:{filename:e("string>0").describe("Vault-relative path to the file."),mode:e('"frontmatter" | "heading" | "block" | "document-map"').describe("`frontmatter` = one field value; `heading` = the markdown section under the heading; `block` = the range of the block reference; `document-map` = outline only (headings, block ids, frontmatter keys), no body."),"target?":e("string>0").describe("Frontmatter field name, heading text (nested path via `targetDelimiter`), or block id (leading `^` optional). Ignored for `document-map`."),"targetDelimiter?":e("string>0").describe('Delimiter for nested heading paths, e.g. `Parent::Child`. Default `::`. Only for `mode: "heading"`.')}}).describe("Reads part of a vault file without loading the body: a single frontmatter field, a heading section, a block range, or the file outline. Read-only and cheap on large notes.");function oHQ(Q,J,G,H){let K=J.split(G).map((V)=>V.trim()).filter(Boolean);if(K.length===0)return{error:"Invalid heading target: empty after delimiter split."};let z=-1,q=H,F=0,D=null;for(let V=0;V<K.length;V++){let O=K[V],P=Q.filter((R)=>R.heading===O&&R.position.start.line>z&&R.position.start.line<q&&(V===0||R.level>F));if(P.length===0){let R=V===0?"in the file":`under "${K.slice(0,V).join(G)}"`;return{error:`Heading not found: "${O}" ${R}.`}}if(P.length>1){let R=P.map((w)=>`level ${w.level} at line ${w.position.start.line}`).join(", ");return{error:`Ambiguous heading target: "${O}" matches multiple headings (${R}). Use a nested path with \`targetDelimiter\` to disambiguate.`}}let N=P[0];D=N,z=N.position.start.line,F=N.level;let I=Q.find((R)=>R.position.start.line>N.position.start.line&&R.level<=N.level);q=I?I.position.start.line:H}if(!D)return{error:`Heading not found: "${J}".`};return{startLine:D.position.start.line,endLine:q,level:D.level}}async function uP0(Q){let{filename:J,mode:G,target:H,targetDelimiter:K}=Q.arguments,z=n6(Q.app.vault,J);if(!z.ok)return z.reason==="not_found"?xQ(`File not found: ${J}`):xQ(`Path is a folder: ${J}`);let q=z.file;if(G!=="document-map"&&(!H||!H.trim()))return xQ(`Missing required \`target\` for mode "${G}". The \`target\` argument is required for "frontmatter", "heading", and "block" modes.`);let F=Q.app.metadataCache.getFileCache(q)??{};if(G==="frontmatter"){let O=F.frontmatter;if(!O||Object.keys(O).length===0){let N=(await Q.app.vault.cachedRead(q)).split(`
`),I=!1;if(N[0]?.trim()==="---"){let R=-1;for(let E=1;E<N.length;E++)if(N[E].trim()==="---"){R=E;break}I=(R===-1?N.slice(1):N.slice(1,R)).some((E)=>E.trim()!=="")}if(I)return xQ(`Frontmatter block present in ${J} but Obsidian's metadata cache exposed no fields — its YAML parser could not read it. Common cause: an unquoted scalar whose value contains ": " (e.g. \`key: a value with: a colon\`); quote the value (\`key: "a value with: a colon"\`). This tool reflects Obsidian's cache and does not re-parse YAML independently, so the source file must be fixed.`);return xQ(`File has no frontmatter: ${J}.`)}let P=H.trim();if(!(P in O))return xQ(`Frontmatter field not found: "${P}" in ${J}.`);return MJ(O[P])}if(G==="document-map"){let O=(R,w)=>R.localeCompare(w,"en",{sensitivity:"variant"}),P=(F.headings??[]).map((R)=>({heading:R.heading,level:R.level,line:R.position.start.line})),N=Object.keys(F.blocks??{}).slice().sort(O),I=Object.keys(F.frontmatter??{}).slice().sort(O);return MJ({path:q.path,frontmatter:I,headings:P,blocks:N})}let V=(await Q.app.vault.cachedRead(q)).split(`
`);if(G==="heading"){let O=F.headings??[];if(O.length===0)return xQ(`File has no headings: ${J}.`);let N=oHQ(O,H,K??"::",V.length);if("error"in N)return xQ(N.error);let I=V.slice(N.startLine,N.endLine).join(`
`);return J8(I)}if(G==="block"){let O=F.blocks??{},P=H.trim().replace(/^\^+/,"");if(!P)return xQ('Invalid block target: input is empty or contains only "^" characters.');let N=O[P];if(!N)return xQ(`Block not found: "^${P}" in ${J}.`);let I=V.slice(N.position.start.line,N.position.end.line+1).join(`
`);return J8(I)}return xQ(`Unknown mode: "${G}".`)}var pP0=e({name:'"get_outgoing_links"',arguments:{path:e("string>0").describe("Vault-relative path to the source file."),"includeEmbeds?":e('"true" | "false"').describe('Default `"true"`: embeds included, marked `embed: true`. `"false"` returns only regular links.'),"includeUnresolved?":e('"true" | "false"').describe('Default `"true"`: unresolved links included with `resolved: false`. `"false"` filters them out.'),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Returns every link in a file: body links, embeds (`![[…]]`), and frontmatter links. Each entry has linkpath, original syntax, display text, layer (`body` | `frontmatter`), embed flag, resolution status, and resolved path. Document order. `isError: true` if the file does not exist.");async function lP0(Q){let J=Q.arguments.path,G=n6(Q.app.vault,J);if(!G.ok)return G.reason==="not_found"?xQ(`File not found: ${J}`):xQ(`Path is a folder: ${J}`);let H=G.file,K=Q.app.metadataCache.getFileCache(H),z=(Q.arguments.includeEmbeds??"true")==="true",q=(Q.arguments.includeUnresolved??"true")==="true",F=(R)=>{let w=Q.app.metadataCache.getFirstLinkpathDest(R,J);if(w)return{resolved:!0,targetPath:w.path};return{resolved:!1,targetPath:null}},D=(R,w,E)=>{let{resolved:T,targetPath:y}=F(R.link),x={link:R.link,original:R.original,source:w,embed:E,resolved:T,targetPath:y};if(R.displayText!==void 0)x.displayText=R.displayText;return x},V=[];for(let R of K?.links??[])V.push(D(R,"body",!1));if(z)for(let R of K?.embeds??[])V.push(D(R,"body",!0));for(let R of K?.frontmatterLinks??[])V.push(D(R,"frontmatter",!1));let O=q?V:V.filter((R)=>R.resolved),P=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),N=O.length>P,I={source:J,totalLinks:O.length,...N?{truncated:!0}:{},links:N?O.slice(0,P):O};return MJ(I)}var dP0=e({name:'"get_backlinks"',arguments:{path:e("string>0").describe("Vault-relative path of the target file. The tool returns every file that links to this path."),"includeUnresolved?":e('"true" | "false"').describe('When `"true"`, also includes sources whose link does not resolve (typo or broken-link sources matching by path or filename). Default `"false"`: unresolved backlinks are usually noise.'),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Lists every file linking to the target, with per-source link count, sorted by count descending. Works even if the target does not exist (backlinks can outlive it). Read-only.");async function cP0(Q){let J=Q.arguments.path,G=(Q.arguments.includeUnresolved??"false")==="true",H=(O,P)=>O.localeCompare(P,"en",{sensitivity:"variant"}),K=new Map,z=Q.app.metadataCache.resolvedLinks??{};for(let[O,P]of Object.entries(z)){let N=P[J]??0;if(N>0)K.set(O,(K.get(O)??0)+N)}if(G){let O=Q.app.metadataCache.unresolvedLinks??{},P=J.replace(/\.md$/,""),N=J.split("/").pop()?.replace(/\.md$/,"")??J;for(let[I,R]of Object.entries(O))for(let[w,E]of Object.entries(R)){if(E<=0)continue;if(w===J||w===P||w===N)K.set(I,(K.get(I)??0)+E)}}let q=Array.from(K,([O,P])=>({path:O,count:P}));q.sort((O,P)=>{if(P.count!==O.count)return P.count-O.count;return H(O.path,P.path)});let F=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),D=q.length>F,V={target:J,totalBacklinks:q.length,...D?{truncated:!0}:{},backlinks:D?q.slice(0,F):q};return J8(JSON.stringify(V))}var qN0=require("obsidian");var HH=require("obsidian"),r6=K7(zN0(),1);function GV(Q,J,G){let H=G??L3Q(J),K=VN0(J,H),z=Z3Q(J),q=z?F3Q(J):null,F=O3Q(J,K,q),D=Q.vault.getAbstractFileByPath(F),V=D!=null&&D.children===void 0;return{path:F,exists:V,create:async()=>{if(z)return await D3Q(J,K);return await RG(Q,F),await Q.vault.create(F,"")}}}function Z3Q(Q){switch(Q){case"daily":return r6.appHasDailyNotesPluginLoaded();case"weekly":return r6.appHasWeeklyNotesPluginLoaded();case"monthly":return r6.appHasMonthlyNotesPluginLoaded();case"quarterly":return r6.appHasQuarterlyNotesPluginLoaded();case"yearly":return r6.appHasYearlyNotesPluginLoaded()}}function F3Q(Q){switch(Q){case"daily":return r6.getDailyNoteSettings();case"weekly":return r6.getWeeklyNoteSettings();case"monthly":return r6.getMonthlyNoteSettings();case"quarterly":return r6.getQuarterlyNoteSettings();case"yearly":return r6.getYearlyNoteSettings()}}function D3Q(Q,J){switch(Q){case"daily":return r6.createDailyNote(J);case"weekly":return r6.createWeeklyNote(J);case"monthly":return r6.createMonthlyNote(J);case"quarterly":return r6.createQuarterlyNote(J);case"yearly":return r6.createYearlyNote(J)}}var M3Q={daily:"YYYY-MM-DD",weekly:"GGGG-[W]WW",monthly:"YYYY-MM",quarterly:"YYYY-[Q]Q",yearly:"YYYY"},i3={daily:/^\d{4}-\d{2}-\d{2}$/,weekly:/^\d{4}-W\d{2}$/,monthly:/^\d{4}-\d{2}$/,quarterly:/^\d{4}-Q[1-4]$/,yearly:/^\d{4}$/};function WV(Q,J){if(!i3[Q].test(J))return!1;return VN0(Q,J).isValid()}function VN0(Q,J){switch(Q){case"daily":return HH.moment(J,"YYYY-MM-DD",!0);case"weekly":return HH.moment(J,"GGGG-[W]WW",!0);case"monthly":return HH.moment(J,"YYYY-MM",!0);case"quarterly":{let G=/^(\d{4})-Q([1-4])$/.exec(J);if(!G)return HH.moment.invalid();return HH.moment().year(parseInt(G[1],10)).quarter(parseInt(G[2],10)).startOf("quarter")}case"yearly":return HH.moment(J,"YYYY",!0)}}function L3Q(Q){let J=HH.moment();switch(Q){case"daily":return J.format("YYYY-MM-DD");case"weekly":return J.format("GGGG-[W]WW");case"monthly":return J.format("YYYY-MM");case"quarterly":return`${J.format("YYYY")}-Q${J.quarter()}`;case"yearly":return J.format("YYYY")}}function O3Q(Q,J,G){let H=G?.format??M3Q[Q],K=(G?.folder??"").replace(/^\/+|\/+$/g,"").trim(),z=`${J.format(H)}.md`;return K?`${K}/${z}`:z}function yC(Q){switch(Q){case"daily":return"`YYYY-MM-DD`";case"weekly":return"`YYYY-Www` (ISO week, e.g. `2026-W21`)";case"monthly":return"`YYYY-MM`";case"quarterly":return"`YYYY-QN` (N=1-4)";case"yearly":return"`YYYY`"}}var UN0=e({name:'"get_or_create_daily_note"',arguments:{"date?":e("string").describe("ISO date `YYYY-MM-DD`. Default: today in the plugin process timezone (the user's machine TZ in the in-process / desktop deployment, which is the 99% case). For headless or multi-host setups where the MCP server runs on a different host than the Obsidian client, pass an explicit `date` to avoid TZ-driven off-by-one resolution.")}}).describe("Reads today's daily note (or the one at `date`), creating it if missing. Returns `{path, content, created}`. When the Daily Notes core plugin or the community Periodic Notes plugin is enabled, the note is created via the plugin's API so the configured template + `{{date}}`/`{{title}}` interpolations run; otherwise it is created as an empty file at the ISO path under the vault root. For weekly/monthly/quarterly/yearly notes use `get_or_create_periodic_note`.");async function $N0(Q){let{date:J}=Q.arguments;if(J!==void 0){if(!i3.daily.test(J))return{content:[{type:"text",text:JSON.stringify({error:"Invalid date format for period 'daily' — expected `YYYY-MM-DD`.",errorCode:"invalid_date_for_period",period:"daily",date:J})}],isError:!0};if(!WV("daily",J))return{content:[{type:"text",text:JSON.stringify({error:"Date is well-shaped but not a real calendar date (e.g. month 13, Feb 30).",errorCode:"invalid_date_for_period",period:"daily",date:J})}],isError:!0}}let G=GV(Q.app,"daily",J),H=!1,K=Q.app.vault.getAbstractFileByPath(G.path);if(!G.exists)K=await G.create(),H=!0;if(!K)return{content:[{type:"text",text:JSON.stringify({error:"Internal: daily note resolved but not retrievable after create.",errorCode:"internal_error",path:G.path})}],isError:!0};if(!(K instanceof qN0.TFile))return{content:[{type:"text",text:JSON.stringify({error:"Path is not a file",errorCode:"not_a_file",path:G.path})}],isError:!0};let z=await Q.app.vault.cachedRead(K);return{content:[{type:"text",text:JSON.stringify({path:G.path,content:z,created:H})}]}}var ZN0=require("obsidian");var FN0=e({name:'"get_or_create_periodic_note"',arguments:{period:e('"daily"|"weekly"|"monthly"|"quarterly"|"yearly"').describe("Period granularity. For daily, `get_or_create_daily_note` is a shortcut."),"date?":e("string").describe("Period-specific ISO date: daily `YYYY-MM-DD`, weekly `YYYY-Www`, monthly `YYYY-MM`, quarterly `YYYY-QN`, yearly `YYYY`. Default: the period containing today, host machine timezone.")}}).describe("Reads the periodic note for `period` (and optional `date`), creating it if missing. Returns `{path, content, created}`. Uses the Daily Notes / Periodic Notes plugin API when available (so configured templates run); otherwise creates an empty file at the ISO path. For structured edits, take the returned path and use `set_note_property` or `patch_vault_file`.");async function DN0(Q){let{period:J,date:G}=Q.arguments;if(G!==void 0){if(!i3[J].test(G))return{content:[{type:"text",text:JSON.stringify({error:`Invalid date format for period '${J}' — expected ${yC(J)}.`,errorCode:"invalid_date_for_period",period:J,date:G})}],isError:!0};if(!WV(J,G))return{content:[{type:"text",text:JSON.stringify({error:"Date is well-shaped but not a real calendar value (e.g. month 13, Feb 30, ISO-week 99).",errorCode:"invalid_date_for_period",period:J,date:G})}],isError:!0}}let H=GV(Q.app,J,G),K=!1,z=Q.app.vault.getAbstractFileByPath(H.path);if(!H.exists)z=await H.create(),K=!0;if(!z)return{content:[{type:"text",text:JSON.stringify({error:"Internal: periodic note resolved but not retrievable after create.",errorCode:"internal_error",period:J,path:H.path})}],isError:!0};if(!(z instanceof ZN0.TFile))return{content:[{type:"text",text:JSON.stringify({error:"Internal: periodic note resolved to a folder, not a file.",errorCode:"internal_error",period:J,path:H.path})}],isError:!0};let q=z,F=await Q.app.vault.cachedRead(q);return{content:[{type:"text",text:JSON.stringify({period:J,path:H.path,content:F,created:K})}]}}var MN0=require("obsidian");var LN0=e({name:'"append_to_periodic_note"',arguments:{"period?":e('"daily"|"weekly"|"monthly"|"quarterly"|"yearly"').describe("Period granularity. Default `daily`."),content:e("string").describe("Markdown content to append."),"date?":e("string").describe("Period-specific ISO date. Formats: daily `YYYY-MM-DD`, weekly `YYYY-Www`, monthly `YYYY-MM`, quarterly `YYYY-QN`, yearly `YYYY`. Default: the period instance containing today in the plugin process timezone."),"underHeading?":e("string>0").describe('Appends inside this heading\'s section (exact leaf name or `Parent::Child` path). If the heading is missing the call fails with `errorCode: "heading_not_found"` but the auto-created note is kept; add the heading via `patch_vault_file` and retry.')}}).describe("Appends to a periodic note (daily by default), auto-creating it like `get_or_create_periodic_note`. With `underHeading`, inserts inside that section; otherwise appends at end of file."),s80="::";async function ON0(Q){let{period:J="daily",content:G,date:H,underHeading:K}=Q.arguments;if(H!==void 0){if(!i3[J].test(H))return BF(`Invalid date format for period '${J}' — expected ${yC(J)}.`,"invalid_date_for_period",{period:J,date:H});if(!WV(J,H))return BF("Date is well-shaped but not a real calendar value (e.g. month 13, Feb 30, ISO-week 99).","invalid_date_for_period",{period:J,date:H})}let z=GV(Q.app,J,H),q=!1,F=Q.app.vault.getAbstractFileByPath(z.path);if(!z.exists)F=await z.create(),q=!0;if(!F)return BF("Internal: periodic note resolved but not retrievable after create.","internal_error",{period:J,path:z.path});if(!(F instanceof MN0.TFile))return BF("Internal: periodic note resolved to a folder, not a file.","internal_error",{period:J,path:z.path});let D=F,V=dJ(G,"append");if(K!==void 0){let O=await Q.app.vault.read(D),P=O.split(`
`),N=K;if(!K.includes(s80)){let b=kZ(O,K,s80);if(b)N=b}let I=N.split(s80),R=I[I.length-1],w=KQ0(P,R);if(w===null)return BF(`Heading not found in periodic note: "${K}".`,"heading_not_found",{period:J,path:z.path,created:q,underHeading:K});let{line:E,level:T}=w,y=$Q0(P,E,T),x=[...P.slice(0,y),V,...P.slice(y)];await Q.app.vault.modify(D,x.join(`
`))}else{let O=await Q.app.vault.read(D);await Q.app.vault.modify(D,O+V)}return{content:[{type:"text",text:JSON.stringify({period:J,path:z.path,appended:!0,created:q})}]}}function BF(Q,J,G){return xQ(JSON.stringify({error:Q,errorCode:J,...G}))}var PN0=e({name:'"find_broken_links"',arguments:{"exclude_folders?":e("string[]").describe('Vault-relative folder prefixes to skip. Default: `["templates","attachments","_archive"]`. Override is complete (not additive): passing `["custom"]` scans templates too.'),"scope?":e("string[]").describe("Optional list of vault-relative paths or folder prefixes to limit the scan. A folder prefix matches any file under it. Omit for vault-wide scan."),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Scans the vault (or a scoped subset) for unresolved links (wiki-links, markdown links, embeds, frontmatter links) and returns every broken link with its source file, 1-based line number, link target, original syntax, and link type. Uses Obsidian's metadata cache — no file I/O. Always read-only."),P3Q=["templates","attachments","_archive"];async function NN0(Q){let G=(Q.arguments.exclude_folders??P3Q).map((P)=>P.replace(/\/+$/,"")),H=Q.arguments.scope?.map((P)=>P.replace(/\/+$/,"")),K=(P)=>G.some((N)=>P===N||P.startsWith(N+"/")),z=(P)=>H===void 0||H.some((N)=>P===N||P.startsWith(N+"/")),q=Q.app.vault.getMarkdownFiles(),F=[],D=0;for(let P of q){if(K(P.path))continue;if(!z(P.path))continue;D++;let N=Q.app.metadataCache.getFileCache(P);if(!N){SQ.warn("find_broken_links: no cache for file, skipping",{path:P.path});continue}let I=(w,E)=>{if(Q.app.metadataCache.getFirstLinkpathDest(w.link,P.path)!==null)return;let y={source_path:P.path,line_number:w.position!=null?w.position.start.line+1:0,link_target:w.link,link_type:E,original:w.original};if(w.displayText!==void 0)y.display_text=w.displayText;F.push(y)},R=N;for(let w of R.links??[])I(w,"link");for(let w of R.embeds??[])I(w,"embed");for(let w of R.frontmatterLinks??[])I(w,"frontmatter")}let V=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),O=F.length>V;return{content:[{type:"text",text:JSON.stringify({total_broken_links:F.length,scanned_files:D,excluded_folders:G,...H!==void 0?{scope:H}:{},...O?{truncated:!0}:{},broken_links:O?F.slice(0,V):F})}]}}var jN0=e({name:'"find_orphaned_notes"',arguments:{"exclude_folders?":e("string[]").describe('Vault-relative folder prefixes whose notes are omitted from the orphan list. Default: `["templates","attachments","_archive"]`. Links FROM excluded folders still count as incoming references — they do not make a note an orphan.'),"limit?":e("number>0").describe("Max results returned (default 200).")}}).describe("Returns all markdown notes that have zero incoming resolved links from any vault file. Builds the referenced-file set from Obsidian's resolvedLinks cache (no file I/O). Notes in excluded folders are omitted from the output but their outgoing links still count toward other notes' reference status. Always read-only."),N3Q=["templates","attachments","_archive"];async function CN0(Q){let G=(Q.arguments.exclude_folders??N3Q).map((P)=>P.replace(/\/+$/,"")),H=(P)=>G.some((N)=>P===N||P.startsWith(N+"/")),K=new Set,z=Q.app.metadataCache.resolvedLinks;for(let P of Object.values(z))for(let N of Object.keys(P))K.add(N);let q=Q.app.vault.getMarkdownFiles(),F=[],D=0;for(let P of q){if(H(P.path))continue;if(D++,K.has(P.path))continue;let N=P.stat;if(!N){SQ.warn("find_orphaned_notes: file has no stat, skipping",{path:P.path});continue}F.push({path:P.path,mtime:N.mtime,size:N.size})}let V=Math.min(1000,Math.max(1,Math.floor(Q.arguments.limit??200))),O=F.length>V;return{content:[{type:"text",text:JSON.stringify({total_orphaned:F.length,scanned_files:D,excluded_folders:G,...O?{truncated:!0}:{},orphaned_notes:O?F.slice(0,V):F})}]}}var IN0=e({name:'"search_and_replace"',arguments:{pattern:e("string>0").describe("JavaScript regex pattern (passed to `new RegExp(pattern, flags)`). Do not include surrounding `/` delimiters."),replacement:e("string").describe("Replacement string. Supports backreferences (`$1`, `$2`, `$&` for full match, `$'`/`$\\`` for surrounding text)."),"flags?":e("string").describe('Regex flags (default `"g"`). The `g` flag is always active — omitting it is equivalent to passing `"g"`. Combine: `"gi"`, `"gm"`, `"gims"`, etc.'),"dry_run?":e('"true" | "false"').describe('When `"true"` (default), no files are modified — returns a preview of changes. Pass `"false"` to apply. Always preview first to verify scope and intent.'),"scope?":e("string[]").describe("Optional list of vault-relative paths or folder prefixes to limit the search. A folder prefix matches any file under it. Omit for vault-wide search.")}}).describe('Regex find-and-replace across the vault or a scoped file list. `dry_run` defaults to `"true"` (preview only); pass `"false"` to write. Returns files_matched, total_replacements, and up to 5 match previews per file (`line_number: 0` = multi-line match). JavaScript regex, `g` flag always active; patterns with nested quantifiers are rejected.');async function RN0(Q){let{pattern:J,replacement:G}=Q.arguments,H=(Q.arguments.dry_run??"true")==="true",K=Q.arguments.scope,z=Q.arguments.flags??"g",q=z.includes("g")?z:`g${z}`,F;try{F=new RegExp(J,q)}catch(N){let I=N instanceof Error?N.message:String(N);return SQ.warn("search_and_replace: invalid regex",{pattern:J,flags:q,error:I}),{content:[{type:"text",text:JSON.stringify({error:`Invalid regex: ${I}`,errorCode:"invalid_regex",pattern:J,flags:q})}],isError:!0}}if(/\([^)]*[+*][^)]*\)[+*?]/.test(J)||/\((?:[^()]*[+*?][^()]*\|)+[^()]+\)[+*?{]/.test(J))return{content:[{type:"text",text:JSON.stringify({error:"Pattern contains nested quantifiers (ReDoS risk). Simplify the pattern.",errorCode:"unsafe_regex",pattern:J})}],isError:!0};let D=(N)=>{if(!K||K.length===0)return!0;return K.some((I)=>N===I||N===`${I}.md`||N.startsWith(I.endsWith("/")?I:`${I}/`))},V=Q.app.vault.getMarkdownFiles().filter((N)=>D(N.path)),O=[],P=0;for(let N of V){let I=await Q.app.vault.read(N),R=(I.match(F)??[]).length;if(R===0)continue;let w=I.split(`
`),E=[];for(let T=0;T<w.length&&E.length<5;T++){if(F.lastIndex=0,!F.test(w[T]))continue;F.lastIndex=0;let y=w[T].replace(F,G);F.lastIndex=0,E.push({line_number:T+1,before:w[T].slice(0,200),after:y.slice(0,200)})}if(F.lastIndex=0,E.length===0&&R>0)E.push({line_number:0,before:"(multi-line match — no per-line preview)",after:'(apply with dry_run:"false" to see result)'});if(!H){let T=I.replace(F,G);F.lastIndex=0,await Q.app.vault.modify(N,T)}P+=R,O.push({path:N.path,replacements:R,preview:E})}return{content:[{type:"text",text:JSON.stringify({dry_run:H,pattern:J,flags_used:q,files_matched:O.length,total_replacements:P,details:O})}]}}var wN0=e({name:'"get_note_outline"',arguments:{path:e("string>0").describe("Vault-relative path to the note.")}}).describe("Returns the structured heading outline of a note: level (1–6), heading text, 1-based line number, and an Obsidian-compatible anchor slug. Empty array when the note has no headings. Use the anchors to construct `[[note#heading]]` links. Reads from Obsidian's metadata cache (no file I/O). Always read-only.");function j3Q(Q){return Q.trim().toLowerCase().replace(/[^\p{L}\p{N}\s-]/gu,"").replace(/\s+/g,"-")}async function EN0(Q){let{path:J}=Q.arguments,G=n6(Q.app.vault,J);if(!G.ok)return{content:[{type:"text",text:G.reason==="not_found"?JSON.stringify({error:`File not found: ${J}`,errorCode:"file_not_found",path:J}):JSON.stringify({error:`Path is a folder: ${J}`,errorCode:"not_a_file",path:J})}],isError:!0};let H=G.file,q=(Q.app.metadataCache.getFileCache(H)?.headings??[]).map((F)=>({level:F.level,text:F.heading,line_number:F.position.start.line+1,anchor:j3Q(F.heading)}));return{content:[{type:"text",text:JSON.stringify({path:J,heading_count:q.length,headings:q})}]}}var SN0=e({name:'"list_bookmarks"',arguments:{"include_types?":e('("file" | "folder" | "search" | "heading" | "block" | "group")[]').describe('Optional filter: only include items of these types. When `"group"` is excluded, group children are flattened to the parent level instead of being nested under a group node. Omit for all types.')}}).describe("Returns the native Obsidian bookmarks (core Bookmarks plugin) with their full hierarchy: groups, file bookmarks, folder bookmarks, searches, heading anchors, and block refs. `enabled: false` when the Bookmarks core plugin is disabled. `total_items` counts non-group items recursively. Always read-only.");function TN0(Q){let J=Q.type;if(!J)return null;if(J==="group"){let G=Array.isArray(Q.items)?Q.items.map(TN0).filter((H)=>H!==null):[];return{type:"group",title:String(Q.title??""),items:G}}if(J==="file"||J==="folder")return{type:J,path:String(Q.path??""),title:Q.title!=null?String(Q.title):void 0};if(J==="search")return{type:"search",query:String(Q.query??""),title:Q.title!=null?String(Q.title):void 0};if(J==="heading")return{type:"heading",path:String(Q.path??""),heading:String(Q.subpath??Q.heading??""),title:Q.title!=null?String(Q.title):void 0};if(J==="block")return{type:"block",path:String(Q.path??""),id:String(Q.subpath??Q.id??""),title:Q.title!=null?String(Q.title):void 0};return SQ.warn("list_bookmarks: unrecognized bookmark type, skipping",{type:J}),null}function kN0(Q,J){let G=[];for(let H of Q)if(H.type==="group"){let K=kN0(H.items,J);if(J.has("group"))G.push({...H,items:K});else G.push(...K)}else if(J.has(H.type))G.push(H);return G}function yN0(Q){let J=0;for(let G of Q)if(G.type==="group")J+=yN0(G.items);else J++;return J}async function vN0(Q){let J=Q.app.internalPlugins.plugins.bookmarks;if(!J?.enabled)return{content:[{type:"text",text:JSON.stringify({enabled:!1,total_items:0,items:[]})}]};if(!J.instance)return{content:[{type:"text",text:JSON.stringify({enabled:!0,total_items:0,items:[],note:"Bookmarks plugin not yet initialized"})}]};let H=J.instance.items.map(TN0).filter((K)=>K!==null);if(Q.arguments.include_types&&Q.arguments.include_types.length>0){let K=new Set(Q.arguments.include_types);H=kN0(H,K)}return{content:[{type:"text",text:JSON.stringify({enabled:!0,total_items:yN0(H),items:H})}]}}var xN0={text:{width:400,height:200},file:{width:400,height:300},link:{width:400,height:200}};function HV(Q){if(!Q)return null;let J;try{J=JSON.parse(Q)}catch{return null}if(typeof J!=="object"||J===null||Array.isArray(J))return null;let G=J;if(!Array.isArray(G.nodes)||!Array.isArray(G.edges))return null;return G}function bN0(){return{nodes:[],edges:[]}}function vC(Q){return JSON.stringify(Q,null,2)}function xC(Q,J){let G=new Set(Q),K=J??(()=>{let z=new Uint8Array(8);return crypto.getRandomValues(z),Array.from(z).map((q)=>q.toString(16).padStart(2,"0")).join("")});while(!0){let z=K();if(!G.has(z))return z}}function gN0(Q,J){let{width:G,height:H,explicitX:K,explicitY:z}=J,q=C3Q(Q,G);return{x:K??q.x,y:z??q.y,width:G,height:H}}function C3Q(Q,J){if(Q.length===0)return{x:0,y:0};let G=-1/0,H=-1/0,K=1/0;for(let q of Q){let F=q.x+q.width,D=q.y+q.height;if(F>G)G=F;if(D>H)H=D;if(q.y<K)K=q.y}let z=G+32;if(z+J>3200)return{x:0,y:H+32};return{x:z,y:K}}var _N0=e({name:'"get_canvas"',arguments:{path:e("string>0").describe("Vault-relative path to the .canvas file.")}}).describe("Reads a canvas file and returns its nodes and edges as structured JSON."),hN0=500;async function fN0(Q){let{path:J}=Q.arguments,G=n6(Q.app.vault,J);if(!G.ok)return G.reason==="not_found"?OX(`Canvas file not found: ${J}`,"canvas_not_found",{path:J}):OX(`Path is a folder: ${J}`,"not_a_file",{path:J});let H=await Q.app.vault.read(G.file),K=HV(H);if(!K)return OX(`Canvas file is malformed: ${J}`,"malformed_canvas",{path:J});let z=K.nodes.map((q)=>{if(q.type==="text"&&typeof q.text==="string"&&q.text.length>hN0)return{...q,text:q.text.slice(0,hN0),textTruncated:!0};return q});return MJ({path:J,nodeCount:K.nodes.length,edgeCount:K.edges.length,nodes:z,edges:K.edges})}var mN0=e({name:'"add_canvas_node"',arguments:{path:"string>0",type:'"text" | "file" | "link"',"text?":"string","file?":"string>0","subpath?":"string","url?":"string>0","color?":"string","x?":"number","y?":"number","width?":"number","height?":"number"}}).describe("Adds a node (text, file, or link) to a canvas. Creates the canvas if it does not exist.");async function uN0(Q){let{path:J,type:G,color:H,x:K,y:z,width:q,height:F}=Q.arguments,D=n6(Q.app.vault,J);if(!D.ok&&D.reason==="not_a_file")return OX(`Path is a folder: ${J}`,"not_a_file",{path:J});let V,O=!1,P=null;if(D.ok){P=D.file;let g=await Q.app.vault.read(D.file);if(V=HV(g),!V)return OX(`Canvas file is malformed: ${J}`,"malformed_canvas",{path:J})}else V=bN0(),O=!0;if(G==="file"){let g=Q.arguments.file;if(!g)return OX('The "file" argument is required when type is "file".',"missing_argument",{path:J});if(!n6(Q.app.vault,g).ok)return OX(`Embed target not found: ${g}`,"embed_target_not_found",{path:g})}let N=xN0[G]??{width:400,height:200},I=q??N.width,R=F??N.height,w=gN0(V.nodes,{width:I,height:R,explicitX:K,explicitY:z}),E=V.nodes.map((g)=>g.id),T=xC(E),y={id:T,type:G,x:w.x,y:w.y,width:w.width,height:w.height,...H!==void 0?{color:H}:{}},x;if(G==="text")x={...y,text:Q.arguments.text??""};else if(G==="file")x={...y,file:Q.arguments.file,...Q.arguments.subpath!==void 0?{subpath:Q.arguments.subpath}:{}};else if(G==="link"){if(!Q.arguments.url)return OX('The "url" argument is required when type is "link".',"missing_argument",{path:J});x={...y,url:Q.arguments.url}}else return OX(`Unsupported node type: ${G}`,"invalid_node_type",{nodeType:G});V.nodes.push(x);let b=vC(V);if(O)await RG(Q.app,J),await Q.app.vault.create(J,b);else await Q.app.vault.modify(P,b);return MJ({id:T,x:w.x,y:w.y,width:w.width,height:w.height,created:O})}var pN0=e({name:'"connect_canvas_nodes"',arguments:{path:"string>0",fromNode:"string>0",toNode:"string>0","fromSide?":'"top" | "right" | "bottom" | "left"',"toSide?":'"top" | "right" | "bottom" | "left"',"label?":"string","color?":"string"}}).describe("Adds an edge between two existing nodes in a canvas. Both node ids must exist.");async function lN0(Q){let{path:J,fromNode:G,toNode:H,fromSide:K,toSide:z,label:q,color:F}=Q.arguments,D=n6(Q.app.vault,J);if(!D.ok)return D.reason==="not_found"?OX(`Canvas file not found: ${J}`,"canvas_not_found",{path:J}):OX(`Path is a folder: ${J}`,"not_a_file",{path:J});let V=await Q.app.vault.read(D.file),O=HV(V);if(!O)return OX(`Canvas file is malformed: ${J}`,"malformed_canvas",{path:J});let P=new Set(O.nodes.map((w)=>w.id));if(!P.has(G))return OX(`Node not found: ${G}`,"node_not_found",{nodeId:G});if(!P.has(H))return OX(`Node not found: ${H}`,"node_not_found",{nodeId:H});let N=[...O.nodes.map((w)=>w.id),...O.edges.map((w)=>w.id)],I=xC(N),R={id:I,fromNode:G,fromSide:K??"right",toNode:H,toSide:z??"left",...q!==void 0?{label:q}:{},...F!==void 0?{color:F}:{}};return O.edges.push(R),await Q.app.vault.modify(D.file,vC(O)),MJ({id:I})}async function dN0(Q,J){Q.register(sF0,async({arguments:G})=>rF0({arguments:G,pluginVersion:J.pluginVersion,getLocalTransport:()=>{let H=J.plugin.mcpTransportState?.server.port;if(H===void 0)return;return{protocol:"http",host:"127.0.0.1",port:H,path:"/mcp"}}})),Q.register(tF0,async({arguments:G})=>eF0({arguments:G,app:J.app})),Q.register(QD0,async({arguments:G})=>XD0({arguments:G,app:J.app})),Q.register(WD0,async({arguments:G})=>HD0({arguments:G,app:J.app})),Q.register(BD0,async({arguments:G})=>AD0({arguments:G,app:J.app})),Q.register(KD0,async({arguments:G})=>zD0({arguments:G,app:J.app})),Q.register(VD0,async({arguments:G})=>qD0({arguments:G,app:J.app})),Q.register(UD0,async({arguments:G})=>$D0({arguments:G,app:J.app})),Q.register(FD0,async({arguments:G})=>DD0({arguments:G,app:J.app})),Q.register(LD0,async({arguments:G})=>OD0({arguments:G,app:J.app})),Q.register(PD0,async({arguments:G})=>ND0({arguments:G,app:J.app})),Q.register(jD0,async({arguments:G})=>CD0({arguments:G,app:J.app})),Q.register(ID0,async({arguments:G})=>RD0({arguments:G,app:J.app})),Q.register(wD0,async({arguments:G})=>ED0({arguments:G,app:J.app})),Q.register(yD0,async({arguments:G})=>vD0({arguments:G,app:J.app})),Q.register(xD0,async({arguments:G})=>bD0({arguments:G,app:J.app})),Q.register(gD0,async({arguments:G})=>hD0({arguments:G,app:J.app})),Q.register(IP0,async({arguments:G})=>RP0({arguments:G,app:J.app})),Q.register(wP0,async({arguments:G})=>EP0({arguments:G,app:J.app})),Q.register(SP0,async({arguments:G})=>TP0({arguments:G,app:J.app})),Q.register(kP0,async({arguments:G})=>yP0({arguments:G,app:J.app})),Q.register(vP0,async({arguments:G})=>xP0({arguments:G,app:J.app})),Q.register(bP0,async({arguments:G})=>gP0({arguments:G,app:J.app})),Q.register(_P0,async({arguments:G})=>fP0({arguments:G,app:J.app})),Q.register(mP0,async({arguments:G})=>uP0({arguments:G,app:J.app})),Q.register(pP0,async({arguments:G})=>lP0({arguments:G,app:J.app})),Q.register(dP0,async({arguments:G})=>cP0({arguments:G,app:J.app})),Q.register(PN0,async({arguments:G})=>NN0({arguments:G,app:J.app})),Q.register(jN0,async({arguments:G})=>CN0({arguments:G,app:J.app})),Q.register(IN0,async({arguments:G})=>RN0({arguments:G,app:J.app})),Q.register(wN0,async({arguments:G})=>EN0({arguments:G,app:J.app})),Q.register(SN0,async({arguments:G})=>vN0({arguments:G,app:J.app})),Q.register(_N0,async({arguments:G})=>fN0({arguments:G,app:J.app})),Q.register(mN0,async({arguments:G})=>uN0({arguments:G,app:J.app})),Q.register(pN0,async({arguments:G})=>lN0({arguments:G,app:J.app})),Q.register(pD0,async({arguments:G})=>lD0({arguments:G,app:J.app})),Q.register(cD0,async({arguments:G})=>iD0({arguments:G,app:J.app})),Q.register(nD0,async({arguments:G})=>aD0({arguments:G,app:J.app,plugin:J.plugin})),Q.register(mD0,async({arguments:G})=>cj({arguments:G,app:J.app})),Q.register(sD0,async({arguments:G})=>rD0({arguments:G,app:J.app})),Q.register(eD0,async({arguments:G})=>QM0({arguments:G,app:J.app,plugin:J.plugin})),Q.register(UN0,async({arguments:G})=>$N0({arguments:G,app:J.app})),Q.register(FN0,async({arguments:G})=>DN0({arguments:G,app:J.app})),Q.register(LN0,async({arguments:G})=>ON0({arguments:G,app:J.app})),Q.register(PP0,async({arguments:G})=>NP0({arguments:G})),Q.register(jP0,async({arguments:G})=>CP0({arguments:G,app:J.app,plugin:J.plugin})),Q.setAnnotations(aF0)}var w3Q=require("obsidian");var z38=oQ('<label><input type="checkbox"/> <code class="svelte-mqyj3n"> </code></label>'),V38=oQ('<div class="grid svelte-mqyj3n"></div>'),q38=oQ(`<div class="tool-toggle-settings svelte-mqyj3n"><h3>Disabled MCP tools</h3> <p class="description svelte-mqyj3n">Tick a tool to hide it from your MCP client. Disabled tools are not
    even registered with the MCP server, so the client never sees them.
    Changes apply on the next plugin reload (or after the next API key
    rotation, which restarts the transport automatically).</p> <div class="presets svelte-mqyj3n"><button type="button" aria-label="Disable destructive operations"> </button> <button type="button" aria-label="Enable all MCP tools">Enable all</button></div> <!> <p class="counter svelte-mqyj3n"> </p></div>`);async function r80(Q,J){let G;try{G=await J.loadData()}catch(F){return SQ.warn("tool-toggle: loadData failed; skipping filter",{error:F instanceof Error?F.message:String(F)}),{disabled:[],unknown:[]}}if(!G||typeof G!=="object")return{disabled:[],unknown:[]};let H=G.toolToggle;if(!H||typeof H!=="object")return{disabled:[],unknown:[]};let K=H.disabled;if(!Array.isArray(K)){if(K!==void 0)SQ.warn("tool-toggle: `disabled` is not an array; ignoring",{actual:typeof K});return{disabled:[],unknown:[]}}let z=[],q=[];for(let F of K){if(typeof F!=="string")continue;let D=F.trim();if(D.length===0)continue;if(Q.disableByName(D))z.push(D);else q.push(D)}if(z.length>0)SQ.info("tool-toggle: filtered tools",{disabled:z});if(q.length>0)SQ.warn("tool-toggle: unknown tool names in disabled list",{unknown:q});return{disabled:z,unknown:q}}var cN0=e({name:'"tool_catalog"',arguments:{}}).describe("Lists all available MCP tools with their status (active/inactive/promoted), call count, and description for inactive tools. Use this to discover which tools are currently loaded and which can be activated.");function E3Q(Q){let J=Q.indexOf(". ");return J===-1?Q:Q.slice(0,J+1)}async function iN0({registry:Q,plugin:J}){let G=Q.listAll(),K=(await J.loadData())?.toolLoading??{},z=K.counters??{},q=new Set(Array.isArray(K.promoted)?K.promoted:[]),F=G.map((D)=>{let V=z[D.name]??0;if(!D.enabled)return{name:D.name,status:"inactive",call_count:V,description:D.description?E3Q(D.description):void 0};return{name:D.name,status:q.has(D.name)?"promoted":"active",call_count:V}});return J8(JSON.stringify(F))}var oN0=e({name:'"activate_tool"',arguments:{name:e("string").describe("Exact name of the tool to activate."),"persist?":e("boolean").describe("If true, write the promotion to data.json so it survives plugin reloads. Defaults to false (in-memory until the plugin reloads, available immediately).")}}).describe("Promotes an inactive tool to active status. With persist=false (default) the tool is available immediately and stays active until the Obsidian plugin reloads. With persist=true the promotion is saved and survives plugin reloads. Run tool_catalog first to see available tool names.");async function nN0({arguments:Q,registry:J,plugin:G,server:H,onActivated:K,enableInRegistry:z,sendNotification:q}){let F=J.listAll(),D=F.find((V)=>V.name===Q.name);if(!D)return xQ(`Unknown tool: '${Q.name}'. Run tool_catalog to see available tools.`);if(D.enabled)return J8("Tool is already active in the current session.");if(K?.(Q.name),z?.(Q.name),Q.persist===!0){let V=F.map((P)=>P.name);await new bY().activateTool(Q.name,V,G)}try{if(q)await q({method:"notifications/tools/list_changed"});else await H.server.notification({method:"notifications/tools/list_changed"})}catch{}return{content:[{type:"text",text:Q.persist===!0?"Tool activated and saved. Available immediately; survives plugin reloads.":"Tool activated. Available immediately; stays active until the plugin reloads."}]}}var aN0=e({name:'"activate_tools"',arguments:{names:e("string[]").describe("Exact names of the tools to activate, in one batch."),"persist?":e("boolean").describe("If true, write the promotions to data.json so they survive plugin reloads. Defaults to false (in-memory until the plugin reloads, available immediately).")}}).describe("Promotes several inactive tools to active status in ONE call. Prefer this over multiple `activate_tool` calls when a task needs more than one inactive tool: it activates them all and refreshes the client's tool list only once, instead of once per tool. Run `tool_catalog` first to see available tool names. With persist=true the promotions survive plugin reloads.");async function sN0({arguments:Q,registry:J,plugin:G,server:H,onActivated:K,enableInRegistry:z,sendNotification:q}){let F=J.listAll(),D=new Map(F.map((I)=>[I.name,I])),V=[...new Set(Q.names)],O={},P=[];for(let I of V){let R=D.get(I);if(!R)O[I]="not_found";else if(R.enabled)O[I]="already_active";else O[I]="activated",P.push(I),K?.(I),z?.(I)}if(Q.persist===!0&&P.length>0){let I=F.map((R)=>R.name);await new bY().activateTools(P,I,G)}if(P.length>0)try{if(q)await q({method:"notifications/tools/list_changed"});else await H.server.notification({method:"notifications/tools/list_changed"})}catch{}let N={requested:V.length,activated:P.length,outcomes:O,...Q.persist===!0?{persisted:P.length>0}:{},note:P.length>0?"Activated tools are available immediately.":"No changes: all requested tools were already active or unknown."};return J8(JSON.stringify(N))}async function rN0(Q){let J=new BQ0,G=new AQ0;return await dN0(J,{app:Q.app,plugin:Q.plugin,pluginVersion:Q.pluginVersion}),J.register(cN0,()=>iN0({registry:J,plugin:Q.plugin})),J.register(oN0,async(H,{server:K,sendNotification:z})=>nN0({arguments:H.arguments,registry:J,plugin:Q.plugin,server:K,onActivated:(q)=>new t80.Notice(`MCP Connector: "${q}" promoted to active`),enableInRegistry:(q)=>J.enableByName(q),sendNotification:z})),J.register(aN0,async(H,{server:K,sendNotification:z})=>sN0({arguments:H.arguments,registry:J,plugin:Q.plugin,server:K,onActivated:(q)=>new t80.Notice(`MCP Connector: "${q}" promoted to active`),enableInRegistry:(q)=>J.enableByName(q),sendNotification:z})),await Gx(J,Q.plugin),await r80(J,Q.plugin),{toolRegistry:J,promptRegistry:G}}var S3Q=new Set(["activate_tool","activate_tools"]);function tN0(Q){return(Array.isArray(Q)?Q:[Q]).some((G)=>{if(typeof G!=="object"||G===null)return!1;let H=G;if(H.method!=="tools/call")return!1;let K=H.params;if(typeof K!=="object"||K===null)return!1;let z=K.name;return typeof z==="string"&&S3Q.has(z)})}async function eN0(Q,J){return new Promise((G,H)=>{let K=[],z=0,q=!1;Q.on("data",(F)=>{if(q)return;if(z+=F.length,z>J){q=!0,G(null);return}K.push(F)}),Q.on("end",()=>{if(!q)G(Buffer.concat(K).toString("utf8"))}),Q.on("error",(F)=>{if(!q)H(F)})})}async function Qj0(Q){let J=new bY,{toolRegistry:G,promptRegistry:H}=await rN0(Q);return{registry:G,promptRegistry:H,handleRequest:async(z,q)=>{let F=new s00({name:"mcp-connector",version:Q.pluginVersion},{capabilities:{tools:{listChanged:!0},prompts:{}}});F.server.setRequestHandler(Mz,G.list),F.server.setRequestHandler(p4,async(N,I)=>{let R=await G.dispatch(N.params,{server:F,sendNotification:I.sendNotification});if(!U5.includes(N.params.name))J.recordCall(N.params.name,Q.plugin).catch(()=>{});return R}),F.server.setRequestHandler(Fz,H.list),F.server.setRequestHandler(Dz,(N)=>H.dispatch(N.params));let D=await eN0(z,aP),V,O=!1;if(D!==null)try{V=JSON.parse(D),O=tN0(V)}catch{V=void 0}let P=new WQ0({sessionIdGenerator:void 0,enableJsonResponse:!O});try{await F.connect(P),await P.handleRequest(z,q,V)}finally{try{await P.close()}catch(N){SQ.error("[mcp] transport.close failed",{error:N})}try{await F.close()}catch(N){SQ.error("[mcp] server.close failed",{error:N})}}}}}async function Xj0(Q){}async function AF(Q){try{let J;await new n9(Q).updateSlice("mcpTransport",(K)=>{let z=K??{},q=z.bearerToken;if(!q||Buffer.byteLength(q,"utf8")<32)return J=rP(),{...z,bearerToken:J};return J=q,K});let G=await Qj0({app:Q.app,plugin:Q,pluginVersion:Q.manifest.version}),H=await pK0({bearerToken:J,requestHandler:G.handleRequest});return SQ.info("MCP Connector HTTP server listening",{port:H.port,pluginVersion:Q.manifest.version}),{success:!0,state:{server:H,mcp:G,bearerToken:J}}}catch(J){let G=J instanceof Error?J.message:String(J);return SQ.error("MCP Connector failed to start HTTP server",{error:G}),{success:!1,error:G}}}async function KF(Q){await lK0(Q.server),await Xj0(Q.mcp)}var 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const token = process.env.MCP_REMOTE_TOKEN || ${JSON.stringify(Q.token)};
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a(){if(c(E))return;qQ(E,!0),qQ(T,"Starting Homebrew install…");try{let IQ=await B60({onLine:(rQ)=>{r(rQ)}});if(IQ.ok)qQ(T,`Node ${IQ.version} installed.`),qQ(I,{found:!0,version:IQ.version,raw:`v${IQ.version}`}),new IX.Notice(`Node.js ${IQ.version} installed via Homebrew.`);else qQ(T,`Failed: ${IQ.error}`),new IX.Notice(`Homebrew install failed: ${IQ.error}`)}catch(IQ){let rQ=IQ instanceof Error?IQ.message:String(IQ);qQ(T,`Failed: ${rQ}`),new IX.Notice(`Homebrew install failed: ${rQ}`)}finally{qQ(E,!1)}}function r(IQ){let rQ=IQ.replace(/^==> /,"").trim();if(rQ.length===0)return;qQ(T,rQ.length>80?rQ.slice(0,77)+"…":rQ)}async function f0(){if(c(x))return;qQ(x,!0),qQ(b,null);try{let IQ=await K60(q());if(IQ.ok)qQ(y,IQ.entry),new IX.Notice("mcp-remote pre-warmed.");else qQ(b,IQ.error),new IX.Notice(`Pre-warm failed: ${IQ.error}`)}finally{qQ(x,!1)}}function t(IQ){try{return new Date(IQ).toLocaleString()}catch(rQ){return IQ}}async function p0(){if(c(N))return;qQ(N,!0);try{let 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J=Array.isArray(Q.merges[0]);if(this.merges=J?Q.merges:Q.merges.map((G)=>G.split(" ",2)),this.bpe_ranks=new Map(this.merges.map((G,H)=>[JSON.stringify(G),H])),this.end_of_word_suffix=Q.end_of_word_suffix,this.continuing_subword_suffix=Q.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback)this.text_encoder=new TextEncoder;this.ignore_merges=this.config.ignore_merges??!1,this.max_length_to_cache=256,this.cache_capacity=1e4,this.cache=new FKQ(this.cache_capacity)}clear_cache(){this.cache.clear()}bpe(Q){if(Q.length===0)return[];let J=this.cache.get(Q);if(J!==void 0)return J;let G=Array.from(Q);if(this.end_of_word_suffix)G[G.length-1]+=this.end_of_word_suffix;let H=[];if(G.length>1){let K=new $KQ((F,D)=>F.score<D.score),z={token:G[0],bias:0,prev:null,next:null},q=z;for(let F=1;F<G.length;++F){let D={bias:F/G.length,token:G[F],prev:q,next:null};q.next=D,this.add_node(K,q),q=D}while(!K.is_empty()){let F=K.pop();if(F.deleted||!F.next||F.next.deleted)continue;if(F.deleted=!0,F.next.deleted=!0,F.prev){let V={...F.prev};if(F.prev.deleted=!0,F.prev=V,V.prev)V.prev.next=V;else z=V}let D={token:F.token+F.next.token,bias:F.bias,prev:F.prev,next:F.next.next};if(D.prev)D.prev.next=D,this.add_node(K,D.prev);else z=D;if(D.next)D.next.prev=D,this.add_node(K,D)}for(let F=z;F!==null;F=F.next)H.push(F.token)}else H=G;if(this.continuing_subword_suffix)for(let K=0;K<H.length-1;++K)H[K]+=this.continuing_subword_suffix;if(Q.length<this.max_length_to_cache)this.cache.put(Q,H);return H}add_node(Q,J){let G=this.bpe_ranks.get(JSON.stringify([J.token,J.next.token]));if(G!==void 0)J.score=G+J.bias,Q.push(J)}encode(Q){let J=[];for(let G of Q){if(this.ignore_merges&&this.tokens_to_ids.has(G)){J.push(G);continue}let H=this.bpe(G);for(let K of H)if(this.tokens_to_ids.has(K))J.push(K);else if(this.byte_fallback){let z=Array.from(this.text_encoder.encode(K)).map((q)=>`<0x${q.toString(16).toUpperCase().padStart(2,"0")}>`);if(z.every((q)=>this.tokens_to_ids.has(q)))J.push(...z);else if(this.unk_token!=null)J.push(this.unk_token)}else if(this.unk_token!=null)J.push(this.unk_token)}return J}},DC0=DKQ,MKQ=class extends wR{constructor(Q,J){super(Q);let G=Q.vocab;this.tokens_to_ids=j90(J.target_lang?G[J.target_lang]:G),this.bos_token=J.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=J.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=J.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=J.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=Array(this.tokens_to_ids.size);for(let[H,K]of this.tokens_to_ids)this.vocab[K]=H}encode(Q){return Q}},LKQ=MKQ;function OKQ(Q,J){switch(Q.type){case"WordPiece":return new $C0(Q);case"Unigram":return new FC0(Q,J.eos_token);case"BPE":return new DC0(Q);default:if(Q.vocab)if(Array.isArray(Q.vocab))return new FC0(Q,J.eos_token);else if(Object.hasOwn(Q,"continuing_subword_prefix")&&Object.hasOwn(Q,"unk_token"))if(Object.hasOwn(Q,"merges"))return new DC0(Q);else return new $C0(Q);else return new LKQ(Q,{target_lang:J.target_lang,bos_token:J.bos_token,eos_token:J.eos_token,pad_token:J.pad_token,unk_token:J.unk_token});throw Error(`Unknown TokenizerModel type: ${Q?.type}`)}}var PKQ=OKQ,NKQ=class extends fF{constructor(Q){super();this.config=Q}_call(Q,...J){return this.post_process(Q,...J)}},mF=NKQ,jKQ=class extends mF{post_process(Q,J=null,G=!0){let H=J===null?this.config.single:this.config.pair,K=[],z=[];for(let q of H)if("SpecialToken"in q){if(G)K.push(q.SpecialToken.id),z.push(q.SpecialToken.type_id)}else if("Sequence"in q){if(q.Sequence.id==="A")K=vG(K,Q),z=vG(z,Array(Q.length).fill(q.Sequence.type_id));else if(q.Sequence.id==="B")K=vG(K,J),z=vG(z,Array(J.length).fill(q.Sequence.type_id))}return{tokens:K,token_type_ids:z}}},CKQ=jKQ,IKQ=class extends mF{post_process(Q,J=null){return{tokens:Q,tokens_pair:J}}},RKQ=IKQ,wKQ=class extends mF{constructor(Q){super(Q);this.sep=Q.sep,this.cls=Q.cls}post_process(Q,J=null,G=!0){if(G)Q=vG([this.cls[0]],Q,[this.sep[0]]);let H=Array(Q.length).fill(0);if(J){let K=[],z=G?[this.sep[0]]:[];Q=vG(Q,K,J,z),H=vG(H,Array(J.length+K.length+z.length).fill(1))}return{tokens:Q,token_type_ids:H}}},EKQ=wKQ,SKQ=class extends mF{constructor(Q){super(Q);this.sep=Q.sep,this.cls=Q.cls}post_process(Q,J,G=!0){if(G)Q=vG([this.cls[0]],Q,[this.sep[0]]);let H=Array(Q.length).fill(0);if(J){let K=G?[this.sep[0]]:[],z=G?[this.sep[0]]:[];Q=vG(Q,K,J,z),H=vG(H,Array(J.length+K.length+z.length).fill(1))}return{tokens:Q,token_type_ids:H}}},TKQ=SKQ,kKQ=class extends mF{constructor(Q){super(Q);this.processors=(Q.processors??[]).map((J)=>cI0(J))}post_process(Q,J=null,G=!0){let H={tokens:Q,tokens_pair:J};for(let K of this.processors)H=K.post_process(H.tokens,H.tokens_pair,G);return H}},yKQ=kKQ;function vKQ(Q){if(Q===null)return null;switch(Q.type){case"TemplateProcessing":return new CKQ(Q);case"ByteLevel":return new RKQ(Q);case"BertProcessing":return new EKQ(Q);case"RobertaProcessing":return new TKQ(Q);case"Sequence":return new yKQ(Q);default:throw Error(`Unknown PostProcessor type: ${Q.type}`)}}var cI0=vKQ,xKQ=class extends fF{constructor(Q){super();this.config=Q,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets="trim_offsets"in Q?Q.trim_offsets:!1}_call(Q){return this.decode(Q)}decode(Q){return this.decode_chain(Q).join("")}},_G=xKQ,bKQ=class extends _G{constructor(Q){super(Q);this.byte_decoder=rBQ,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(Q){let J=Q.join(""),G=new Uint8Array([...J].map((H)=>this.byte_decoder[H]));return this.text_decoder.decode(G)}decode_chain(Q){let J=[],G=[];for(let H of Q)if(this.added_tokens.find((K)=>K.content===H)!==void 0){if(G.length>0)J.push(this.convert_tokens_to_string(G)),G=[];J.push(H)}else G.push(H);if(G.length>0)J.push(this.convert_tokens_to_string(G));return J}},gKQ=bKQ,hKQ=class extends _G{constructor(Q){super(Q);this.cleanup=Q.cleanup}decode_chain(Q){return Q.map((J,G)=>{if(G!==0){let H=this.config.prefix;if(H&&J.startsWith(H))J=J.replace(H,"");else J=" "+J}if(this.cleanup)J=N90(J);return J})}},_KQ=hKQ,fKQ=class extends _G{constructor(Q){super(Q);this.replacement=Q.replacement??"▁"}decode_chain(Q){let J=[];for(let G=0;G<Q.length;++G){let H=Q[G].replaceAll(this.replacement," ");if(G==0&&H.startsWith(" "))H=H.substring(1);J.push(H)}return J}},mKQ=fKQ,uKQ=class extends _G{constructor(Q){super(Q);this.suffix=Q.suffix??""}decode_chain(Q){return Q.map((J,G)=>{return J.replaceAll(this.suffix,G===Q.length-1?"":" ")})}},pKQ=uKQ,lKQ=class extends _G{constructor(Q){super(Q);this.pad_token=Q.pad_token??"",this.word_delimiter_token=Q.word_delimiter_token??"",this.cleanup=Q.cleanup}convert_tokens_to_string(Q){if(Q.length===0)return"";let J=[Q[0]];for(let K=1;K<Q.length;++K)if(Q[K]!==J.at(-1))J.push(Q[K]);let H=J.filter((K)=>K!==this.pad_token).join("");if(this.cleanup)H=N90(H).replaceAll(this.word_delimiter_token," ").trim();return H}decode_chain(Q){return[this.convert_tokens_to_string(Q)]}},dKQ=lKQ,cKQ=class extends _G{constructor(Q){super(Q);this.decoders=(Q.decoders??[]).map((J)=>iI0(J))}decode_chain(Q){return this.decoders.reduce((J,G)=>{return G.decode_chain(J)},Q)}},iKQ=cKQ,oKQ=class extends _G{decode_chain(Q){let J=IR(this.config.pattern),G=this.config.content??"";return J===null?Q:Q.map((H)=>H.replaceAll(J,G))}},nKQ=oKQ,aKQ=class extends _G{decode_chain(Q){return[Q.join("")]}},sKQ=aKQ,rKQ=class extends _G{constructor(Q){super(Q);this.content=Q.content??"",this.start=Q.start??0,this.stop=Q.stop??0}decode_chain(Q){return Q.map((J)=>{let G=0;for(let K=0;K<this.start;++K)if(J[K]===this.content){G=K+1;continue}else break;let H=J.length;for(let K=0;K<this.stop;++K){let z=J.length-K-1;if(J[z]===this.content){H=z;continue}else break}return J.slice(G,H)})}},tKQ=rKQ,eKQ=class extends _G{constructor(Q){super(Q);this.text_decoder=new TextDecoder}decode_chain(Q){let J=[],G=[];for(let H of Q){let K=null;if(H.length===6&&H.startsWith("<0x")&&H.endsWith(">")){let z=parseInt(H.slice(3,5),16);if(!isNaN(z))K=z}if(K!==null)G.push(K);else{if(G.length>0){let z=this.text_decoder.decode(Uint8Array.from(G));J.push(z),G=[]}J.push(H)}}if(G.length>0){let H=this.text_decoder.decode(Uint8Array.from(G));J.push(H),G=[]}return J}},QzQ=eKQ;function XzQ(Q){if(Q===null)return null;switch(Q.type){case"ByteLevel":return new gKQ(Q);case"WordPiece":return new _KQ(Q);case"Metaspace":return new mKQ(Q);case"BPEDecoder":return new pKQ(Q);case"CTC":return new dKQ(Q);case"Sequence":return new iKQ(Q);case"Replace":return new nKQ(Q);case"Fuse":return new sKQ(Q);case"Strip":return new tKQ(Q);case"ByteFallback":return new QzQ(Q);default:throw Error(`Unknown Decoder type: ${Q.type}`)}}var iI0=XzQ,JzQ=class{constructor(Q,J){let G=UC0(Q,"Tokenizer",["model","decoder","post_processor","pre_tokenizer","normalizer"]);if(G)throw Error(G);let H=UC0(J,"Config");if(H)throw Error(H);this.tokenizer=Q,this.config=J,this.normalizer=lI0(this.tokenizer.normalizer),this.pre_tokenizer=dI0(this.tokenizer.pre_tokenizer),this.model=PKQ(this.tokenizer.model,this.config),this.post_processor=cI0(this.tokenizer.post_processor),this.decoder=iI0(this.tokenizer.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[];let K=[],z=[];this.added_tokens_map=new Map;for(let q of this.tokenizer.added_tokens){let F=new aBQ(q);if(this.added_tokens.push(F),this.model.tokens_to_ids.set(F.content,F.id),this.model.vocab[F.id]=F.content,F.special)this.special_tokens.push(F.content),this.all_special_ids.push(F.id);if(this.added_tokens_map.set(F.content,F),F.normalized&&this.normalizer!==null){let D=this.normalizer(F.content);z.push(D),this.added_tokens_map.set(D,F)}else K.push(F.content)}if((this.config.additional_special_tokens??[]).forEach((q)=>{if(!this.special_tokens.includes(q))this.special_tokens.push(q)}),this.decoder)this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix;this.splitter_unnormalized=new VC0(K),this.splitter_normalized=new VC0(z),this.remove_space=this.config.remove_space,this.clean_up_tokenization_spaces=this.config.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=this.config.do_lowercase_and_remove_accent??!1}encode(Q,{text_pair:J=null,add_special_tokens:G=!0,return_token_type_ids:H=null}={}){let{tokens:K,token_type_ids:z}=this.tokenize_helper(Q,{text_pair:J,add_special_tokens:G}),q=K.map((D)=>this.added_tokens_map.get(D)?.id??this.model.tokens_to_ids.get(D)??this.model.unk_token_id),F={ids:q,tokens:K,attention_mask:Array(q.length).fill(1)};if(H&&z)F.token_type_ids=z;return F}decode(Q,J={}){if(!Array.isArray(Q)||Q.length===0||!JAQ(Q[0]))throw Error("token_ids must be a non-empty array of integers.");let G=Q.map((K)=>this.model.vocab[Number(K)]??this.model.unk_token);if(J.skip_special_tokens)G=G.filter((K)=>!this.special_tokens.includes(K));let H=this.decoder?this.decoder(G):G.join(" ");if(this.decoder&&this.decoder.end_of_word_suffix){if(H=H.replaceAll(this.decoder.end_of_word_suffix," "),J.skip_special_tokens)H=H.trim()}if(J.clean_up_tokenization_spaces??this.clean_up_tokenization_spaces)H=N90(H);return H}tokenize(Q,{text_pair:J=null,add_special_tokens:G=!1}={}){return this.tokenize_helper(Q,{text_pair:J,add_special_tokens:G}).tokens}encode_text(Q){if(Q===null)return null;let J=this.splitter_unnormalized.split(Q);return J.forEach((G,H)=>{let K=this.added_tokens_map.get(G);if(K){if(K.lstrip&&H>0)J[H-1]=J[H-1].trimEnd();if(K.rstrip&&H<J.length-1)J[H+1]=J[H+1].trimStart()}}),J.flatMap((G,H)=>{if(G.length===0)return[];if(this.added_tokens_map.has(G))return[G];if(this.remove_space===!0)G=G.trim().split(/\s+/).join(" ");if(this.do_lowercase_and_remove_accent)G=GAQ(G);if(this.normalizer!==null)G=this.normalizer(G);if(G.length===0)return[];let K=this.splitter_normalized.split(G);return K.forEach((z,q)=>{let F=this.added_tokens_map.get(z);if(F){if(F.lstrip&&q>0)K[q-1]=K[q-1].trimEnd();if(F.rstrip&&q<K.length-1)K[q+1]=K[q+1].trimStart()}}),K.flatMap((z)=>{if(z.length===0)return[];if(this.added_tokens_map.has(z))return[z];let q=this.pre_tokenizer!==null?this.pre_tokenizer(z,{section_index:H}):[z];return this.model(q)})})}tokenize_helper(Q,{text_pair:J=null,add_special_tokens:G=!0}){let H=this.encode_text(Q),K=this.encode_text(J||null);return this.post_processor?this.post_processor(H,K,G):{tokens:vG(H??[],K??[])}}token_to_id(Q){return this.model.tokens_to_ids.get(Q)}id_to_token(Q){return this.model.vocab[Q]}get_added_tokens_decoder(){let Q=new Map;for(let J of this.added_tokens)Q.set(J.id,J);return Q}get_vocab(Q=!0){let J=new Map;for(let G=0;G<this.model.vocab.length;++G){let H=this.model.vocab[G];if(Q||!this.added_tokens_map.has(H))J.set(H,G)}return J}},YzQ=JzQ,$Q=Object.freeze({Text:"Text",NumericLiteral:"NumericLiteral",StringLiteral:"StringLiteral",Identifier:"Identifier",Equals:"Equals",OpenParen:"OpenParen",CloseParen:"CloseParen",OpenStatement:"OpenStatement",CloseStatement:"CloseStatement",OpenExpression:"OpenExpression",CloseExpression:"CloseExpression",OpenSquareBracket:"OpenSquareBracket",CloseSquareBracket:"CloseSquareBracket",OpenCurlyBracket:"OpenCurlyBracket",CloseCurlyBracket:"CloseCurlyBracket",Comma:"Comma",Dot:"Dot",Colon:"Colon",Pipe:"Pipe",CallOperator:"CallOperator",AdditiveBinaryOperator:"AdditiveBinaryOperator",MultiplicativeBinaryOperator:"MultiplicativeBinaryOperator",ComparisonBinaryOperator:"ComparisonBinaryOperator",UnaryOperator:"UnaryOperator",Comment:"Comment"}),oY=class{constructor(Q,J){this.value=Q,this.type=J}};function MC0(Q){return/\w/.test(Q)}function OF(Q){return/[0-9]/.test(Q)}function LC0(Q){return/\s/.test(Q)}var 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N="";while(H[K]!=="#"||H[K+1]!=="}"){if(K+2>=H.length)throw SyntaxError("Missing end of comment tag");N+=H[K++]}let I=N.endsWith("-");if(I)N=N.slice(0,-1);if(P)F();if(G.push(new oY(N,$Q.Comment)),K+=2,I)D();continue}if(H.slice(K,K+3)==="{%-"){F(),G.push(new oY("{%",$Q.OpenStatement)),K+=3;continue}if(H.slice(K,K+3)==="{{-"){F(),G.push(new oY("{{",$Q.OpenExpression)),z=0,K+=3;continue}if(q(LC0),H.slice(K,K+3)==="-%}"){G.push(new oY("%}",$Q.CloseStatement)),K+=3,D();continue}if(H.slice(K,K+3)==="-}}"){G.push(new oY("}}",$Q.CloseExpression)),K+=3,D();continue}let O=H[K];if(O==="-"||O==="+"){let P=G.at(-1)?.type;if(P===$Q.Text||P===void 0)throw SyntaxError(`Unexpected character: ${O}`);switch(P){case $Q.Identifier:case $Q.NumericLiteral:case $Q.StringLiteral:case $Q.CloseParen:case $Q.CloseSquareBracket:break;default:{++K;let N=q(OF);G.push(new oY(`${O}${N}`,N.length>0?$Q.NumericLiteral:$Q.UnaryOperator));continue}}}for(let[P,N]of 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bicubic_interpolate_4d(){if(!this._bicubic_interpolate_4d)this._bicubic_interpolate_4d=VH([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");return this._bicubic_interpolate_4d}static get matmul(){if(!this._matmul)this._matmul=VH([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");return this._matmul}static get stft(){if(!this._stft)this._stft=VH([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");return this._stft}static get rfft(){if(!this._rfft)this._rfft=VH([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");return this._rfft}static get 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G=J==="binary",H=G?"int8":"uint8",K=G?Int8Array:Uint8Array,z=Q.data,q=new K(z.length/8);for(let F=0;F<z.length;++F){let D=z[F]>0?1:0,V=Math.floor(F/8),O=F%8;if(q[V]|=D<<7-O,G&&O===0)q[V]-=128}return new PQ(H,q,[Q.dims[0],Q.dims[1]/8])}async function Bw0(Q){if(!Q)throw Error("modelId is required for get_tokenizer_files");if((await uF(Q,"tokenizer_config.json",{})).exists)return["tokenizer.json","tokenizer_config.json"];return[]}async function Aw0(Q,J){let G=await Bw0(Q);return await Promise.all(G.map((H)=>bW(Q,H,!0,J)))}function o90(Q){let J=Q.dims;switch(J.length){case 1:return Q.tolist();case 2:if(J[0]!==1)throw Error("Unable to decode tensor with `batch size !== 1`. Use `tokenizer.batch_decode(...)` for batched inputs.");return Q.tolist()[0];default:throw Error(`Expected tensor to have 1-2 dimensions, got ${J.length}.`)}}var FqQ=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];function DqQ(Q,J,G,H){for(let K of Object.keys(Q)){let z=J-Q[K].length,q=G(K),F=Array(z).fill(q);Q[K]=H==="right"?yW(Q[K],F):yW(F,Q[K])}}function MqQ(Q,J){for(let G of Object.keys(Q))Q[G].length=J}function t3(Q,...J){for(let G of J){if(!Object.hasOwn(Q,G))continue;let H=Q[G];if(!H)continue;if(typeof H==="object")if(H.__type==="AddedToken")return H.content;else throw Error(`Unknown token: ${H}`);else return H}return null}function LqQ(Q){let J=[];for(let G of Q.get_added_tokens_decoder().values())if(G.special)J.push(G);return J}var x8=class extends nJ{return_token_type_ids=!1;padding_side="right";constructor(Q,J){super();if(this._tokenizerJSON=Q,this._tokenizerConfig=J,this._tokenizer=new YzQ(Q,J),this.config=J,this.padding_side=J.padding_side??this.padding_side,this.mask_token=t3(J,"mask_token"),this.mask_token_id=this._tokenizer.token_to_id(this.mask_token),this.pad_token=t3(J,"pad_token","eos_token"),this.pad_token_id=this._tokenizer.token_to_id(this.pad_token),this.sep_token=t3(J,"sep_token"),this.sep_token_id=this._tokenizer.token_to_id(this.sep_token),this.unk_token=t3(J,"unk_token"),this.unk_token_id=this._tokenizer.token_to_id(this.unk_token),this.bos_token=t3(J,"bos_token"),this.bos_token_id=this._tokenizer.token_to_id(this.bos_token),this.eos_token=t3(J,"eos_token"),this.eos_token_id=this._tokenizer.token_to_id(this.eos_token),this.chat_template=J.chat_template??null,Array.isArray(this.chat_template)){let H=Object.create(null);for(let{name:K,template:z}of this.chat_template){if(typeof K!=="string"||typeof z!=="string")throw Error('Chat template must be a list of objects with "name" and "template" properties');H[K]=z}this.chat_template=H}this._compiled_template_cache=new Map;let G=LqQ(this._tokenizer);this.all_special_ids=G.map((H)=>H.id),this.all_special_tokens=G.map((H)=>H.content)}static async from_pretrained(Q,{progress_callback:J=null,config:G=null,cache_dir:H=null,local_files_only:K=!1,revision:z="main"}={}){let q=await Aw0(Q,{progress_callback:J,config:G,cache_dir:H,local_files_only:K,revision:z});return new this(...q)}get_vocab(){return this._tokenizer.get_vocab()}get model_max_length(){return this._tokenizerConfig.model_max_length??1/0}get add_eos_token(){return this._tokenizerConfig.add_eos_token}get add_bos_token(){return this._tokenizerConfig.add_bos_token}convert_tokens_to_ids(Q){if(typeof Q==="string")return this._tokenizer.token_to_id(Q);else return Q.map((J)=>this._tokenizer.token_to_id(J))}_call(Q,J={}){let{text_pair:G=null,add_special_tokens:H=!0,padding:K=!1,return_token_type_ids:z=null}=J,{truncation:q=null,max_length:F=null}=J,D=J.return_tensor??!0,V=Array.isArray(Q),O;if(V){if(Q.length===0)throw Error("text array must be non-empty");if(G!==null){if(!Array.isArray(G))throw Error("text_pair must also be an array");else if(Q.length!==G.length)throw Error("text and text_pair must have the same length");O=Q.map((N,I)=>this._encode_plus(N,{text_pair:G[I],add_special_tokens:H,return_token_type_ids:z}))}else O=Q.map((N)=>this._encode_plus(N,{add_special_tokens:H,return_token_type_ids:z}))}else{if(Q===null||Q===void 0)throw Error("text may not be null or undefined");if(Array.isArray(G))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");O=[this._encode_plus(Q,{text_pair:G,add_special_tokens:H,return_token_type_ids:z})]}if(F===null)F=this.model_max_length;else if(q===null){if(K===!0)g8.warn("`max_length` is ignored when `padding: true` and there is no truncation strategy. To pad to max length, use `padding: 'max_length'`."),F=this.model_max_length;else if(K===!1)g8.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."),q=!0}if(K===!0)F=Math.min(D7(O.map((N)=>N.input_ids.length))[0],F??1/0);if(F=Math.min(F,this.model_max_length??1/0),K||q){for(let N=0;N<O.length;++N)if(O[N].input_ids.length===F)continue;else if(O[N].input_ids.length>F){if(q)MqQ(O[N],F)}else if(K)DqQ(O[N],F,(I)=>I==="input_ids"?this.pad_token_id:0,this.padding_side)}let P={};if(D){if(!(K&&q)){if(O.some((I)=>{for(let R of Object.keys(I))if(I[R].length!==O[0][R]?.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.")}let N=[O.length,O[0].input_ids.length];for(let I of Object.keys(O[0]))P[I]=new PQ("int64",BigInt64Array.from(O.flatMap((R)=>R[I]).map(BigInt)),N)}else{for(let N of Object.keys(O[0]))P[N]=O.map((I)=>I[N]);if(!V)for(let N of Object.keys(P))P[N]=P[N][0]}return P}_encode_text(Q){if(Q===null)return null;return this._tokenizer.encode(Q).tokens}_encode_plus(Q,{text_pair:J=null,add_special_tokens:G=!0,return_token_type_ids:H=null}={}){let{ids:K,attention_mask:z,token_type_ids:q}=this._tokenizer.encode(Q,{text_pair:J,add_special_tokens:G,return_token_type_ids:H??this.return_token_type_ids});return{input_ids:K,attention_mask:z,...q?{token_type_ids:q}:{}}}tokenize(Q,{pair:J=null,add_special_tokens:G=!1}={}){return this._tokenizer.tokenize(Q,{text_pair:J,add_special_tokens:G})}encode(Q,{text_pair:J=null,add_special_tokens:G=!0,return_token_type_ids:H=null}={}){return this._tokenizer.encode(Q,{text_pair:J,add_special_tokens:G,return_token_type_ids:H}).ids}batch_decode(Q,J={}){if(Q instanceof PQ)Q=Q.tolist();return Q.map((G)=>this.decode(G,J))}decode(Q,J={}){if(Q instanceof PQ)Q=o90(Q);if(!Array.isArray(Q)||Q.length===0||!dBQ(Q[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(Q,J)}decode_single(Q,{skip_special_tokens:J=!1,clean_up_tokenization_spaces:G=null}){return this._tokenizer.decode(Q,{skip_special_tokens:J,clean_up_tokenization_spaces:G})}get_chat_template({chat_template:Q=null,tools:J=null}={}){if(this.chat_template&&typeof this.chat_template==="object"){let G=this.chat_template;if(Q!==null&&Object.hasOwn(G,Q))Q=G[Q];else if(Q===null)if(J!==null&&"tool_use"in G)Q=G.tool_use;else if("default"in G)Q=G.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(G).sort()}.`)}else if(Q===null)if(this.chat_template)Q=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 Q}apply_chat_template(Q,J={}){let{tools:G=null,documents:H=null,chat_template:K=null,add_generation_prompt:z=!1,tokenize:q=!0,padding:F=!1,truncation:D=!1,max_length:V=null,return_tensor:O=!0,return_dict:P=!0,tokenizer_kwargs:N={},...I}=J;if(K=this.get_chat_template({chat_template:K,tools:G}),typeof K!=="string")throw Error(`chat_template must be a string, but got ${typeof K}`);let R=this._compiled_template_cache.get(K);if(R===void 0)R=new tzQ(K),this._compiled_template_cache.set(K,R);let w=Object.create(null);for(let T of FqQ){let y=t3(this.config,T);if(y)w[T]=y}let E=R.render({messages:Q,add_generation_prompt:z,tools:G,documents:H,...w,...I});if(q){let T=this._call(E,{add_special_tokens:!1,padding:F,truncation:D,max_length:V,return_tensor:O,...N});return P?T:T.input_ids}return E}};function n90(Q,J,G,H){if(!("language_codes"in Q)||!Array.isArray(Q.language_codes))throw Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in Q)||!(Q.languageRegex instanceof RegExp))throw Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in Q)||typeof Q.lang_to_token!=="function")throw Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");let{src_lang:K,tgt_lang:z}=H;if(!Q.language_codes.includes(z))throw Error(`Target language code "${z}" is not valid. Must be one of: {${Q.language_codes.join(", ")}}`);if(K!==void 0){if(!Q.language_codes.includes(K))throw Error(`Source language code "${K}" is not valid. Must be one of: {${Q.language_codes.join(", ")}}`);for(let q of Q._tokenizer.post_processor.config.single)if("SpecialToken"in q&&Q.languageRegex.test(q.SpecialToken.id)){q.SpecialToken.id=Q.lang_to_token(K);break}}return H.forced_bos_token_id=Q._tokenizer.token_to_id(Q.lang_to_token(z)),Q._call(J,G)}var Kw0={};IV(Kw0,{AlbertTokenizer:()=>OqQ,AutoTokenizer:()=>m6,BartTokenizer:()=>PqQ,BertTokenizer:()=>NqQ,BlenderbotSmallTokenizer:()=>jqQ,BlenderbotTokenizer:()=>CqQ,BloomTokenizer:()=>IqQ,CLIPTokenizer:()=>wqQ,CamembertTokenizer:()=>RqQ,CodeGenTokenizer:()=>SqQ,CodeLlamaTokenizer:()=>EqQ,CohereAsrTokenizer:()=>kqQ,CohereTokenizer:()=>TqQ,ConvBertTokenizer:()=>yqQ,DebertaTokenizer:()=>xqQ,DebertaV2Tokenizer:()=>vqQ,DistilBertTokenizer:()=>bqQ,ElectraTokenizer:()=>gqQ,EsmTokenizer:()=>hqQ,FalconTokenizer:()=>_qQ,GPT2Tokenizer:()=>uqQ,GPTNeoXTokenizer:()=>mqQ,GemmaTokenizer:()=>fqQ,HerbertTokenizer:()=>pqQ,LlamaTokenizer:()=>lqQ,M2M100Tokenizer:()=>dqQ,MBart50Tokenizer:()=>iqQ,MBartTokenizer:()=>zw0,MPNetTokenizer:()=>aqQ,MarianTokenizer:()=>cqQ,MgpstrTokenizer:()=>oqQ,MobileBertTokenizer:()=>nqQ,NllbTokenizer:()=>sqQ,NougatTokenizer:()=>rqQ,PreTrainedTokenizer:()=>x8,Qwen2Tokenizer:()=>tqQ,RoFormerTokenizer:()=>QUQ,RobertaTokenizer:()=>eqQ,SiglipTokenizer:()=>XUQ,SpeechT5Tokenizer:()=>JUQ,SqueezeBertTokenizer:()=>YUQ,T5Tokenizer:()=>GUQ,TokenizersBackend:()=>x8,VitsTokenizer:()=>HUQ,Wav2Vec2CTCTokenizer:()=>BUQ,WhisperTokenizer:()=>qUQ,XLMRobertaTokenizer:()=>UUQ,XLMTokenizer:()=>$UQ});var OqQ=class extends x8{return_token_type_ids=!0},PqQ=class extends x8{},NqQ=class extends x8{return_token_type_ids=!0},jqQ=class extends x8{},CqQ=class extends x8{},IqQ=class extends x8{},RqQ=class extends x8{},wqQ=class extends x8{},EqQ=class extends x8{},SqQ=class extends x8{},TqQ=class extends x8{},kqQ=class extends x8{},yqQ=class extends x8{return_token_type_ids=!0},vqQ=class extends x8{return_token_type_ids=!0},xqQ=class extends x8{return_token_type_ids=!0},bqQ=class extends x8{},gqQ=class extends x8{return_token_type_ids=!0},hqQ=class extends x8{},_qQ=class extends x8{},fqQ=class extends x8{},mqQ=class extends x8{},uqQ=class extends x8{},pqQ=class extends x8{return_token_type_ids=!0},lqQ=class extends x8{padding_side="left"},dqQ=class extends x8{constructor(Q,J){super(Q,J);this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.all_special_tokens.filter((G)=>this.languageRegex.test(G)).map((G)=>G.slice(2,-2)),this.lang_to_token=(G)=>`__${G}__`}_build_translation_inputs(Q,J,G){return n90(this,Q,J,G)}},cqQ=class extends x8{constructor(Q,J){super(Q,J);this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=Array.from(this.get_vocab().keys()).filter((G)=>this.languageRegex.test(G)),g8.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(Q){if(Q===null)return null;let[J,...G]=Q.trim().split(this.languageRegex);if(G.length===0)return super._encode_text(J);else if(G.length===2){let[H,K]=G;if(!this.supported_language_codes.includes(H))g8.warn(`Unsupported language code "${H}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`);return yW([H],super._encode_text(K))}}},zw0=class extends x8{constructor(Q,J){super(Q,J);this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.all_special_tokens.filter((G)=>this.languageRegex.test(G)).map((G)=>G),this.lang_to_token=(G)=>G}_build_translation_inputs(Q,J,G){return n90(this,Q,J,G)}},iqQ=class extends zw0{},oqQ=class extends x8{},nqQ=class extends x8{return_token_type_ids=!0},aqQ=class extends x8{},sqQ=class extends x8{constructor(Q,J){super(Q,J);this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.all_special_tokens.filter((G)=>this.languageRegex.test(G)),this.lang_to_token=(G)=>G}_build_translation_inputs(Q,J,G){return n90(this,Q,J,G)}},rqQ=class extends x8{},tqQ=class extends x8{},eqQ=class extends x8{},QUQ=class extends x8{return_token_type_ids=!0},XUQ=class extends x8{},JUQ=class extends x8{},YUQ=class extends x8{return_token_type_ids=!0},GUQ=class extends x8{},WUQ=class extends _G{decode_chain(Q){let J="";for(let G=1;G<Q.length;G+=2)J+=Q[G];return[J]}},HUQ=class extends x8{constructor(Q,J){super(Q,J);this._tokenizer.decoder=new WUQ({type:"VitsDecoder"})}},BUQ=class extends x8{},Vw0=[["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"]],BR=new Map(Vw0),AUQ=new Map([...Vw0.map(([Q,J])=>[J,Q]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);function KUQ(Q){Q=Q.toLowerCase();let J=AUQ.get(Q);if(J===void 0){let G=Q.match(/^<\|([a-z]{2})\|>$/);if(G)Q=G[1];if(BR.has(Q))J=Q;else{let K=Q.length===2?BR.keys():BR.values();throw Error(`Language "${Q}" is not supported. 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Mel spectrogram computation is not yet supported for complex-valued spectrogram. Specify `power` to fix this issue.");if(!O)throw Error("`preemphasis_htk_flavor=false` is not currently supported.");if(q){let m0=Math.floor(G/2);switch(F){case"reflect":{Q=NUQ(Q,m0,m0);break}case"constant":{let ZQ=new Q.constructor(Q.length+2*m0);ZQ.set(Q,m0),Q=ZQ;break}case"semicausal":{let ZQ=new Q.constructor(Q.length+m0);ZQ.set(Q,m0),Q=ZQ;break}default:throw Error(`pad_mode="${F}" not implemented yet.`)}}let f0=Math.floor(1+Math.floor((Q.length-G)/H));if(x!==null&&f0<x)f0=x;let t=D?Math.floor(K/2)+1:K,p0=f0,u0=f0;if(b!==null)if(b>f0){if(g)u0=b}else u0=p0=b;let d=new LVQ(K),n=new Float64Array(K),c0=new Float64Array(d.outputBufferSize),WQ=new Float32Array(t*u0);for(let m0=0;m0<p0;++m0){let ZQ=m0*H,LQ=Math.min(Q.length-ZQ,G);if(LQ!==G)n.fill(0,0,G);for(let h0=0;h0<LQ;++h0)n[h0]=Q[ZQ+h0];if(y){let h0=0;for(let iQ=0;iQ<LQ;++iQ)h0+=n[iQ];let pQ=h0/LQ;for(let iQ=0;iQ<LQ;++iQ)n[iQ]-=pQ}if(V!==null){for(let h0=LQ-1;h0>=1;--h0)n[h0]-=V*n[h0-1];n[0]*=1-V}for(let h0=0;h0<J.length;++h0)n[h0]*=J[h0];d.realTransform(c0,n);for(let h0=0;h0<t;++h0){let pQ=h0<<1;WQ[h0*u0+m0]=c0[pQ]**2+c0[pQ+1]**2}}if(z!==null&&z!==2){let m0=z/2;for(let ZQ=0;ZQ<WQ.length;++ZQ)WQ[ZQ]**=m0}let R0=P.length,l0=await VqQ(new PQ("float32",P.flat(),[R0,t]),new PQ("float32",WQ,[t,u0]));if(l)l0=l0.transpose(1,0);let d0=l0.data;if(a==="add")for(let m0=0;m0<d0.length;++m0)d0[m0]=_+d0[m0]+N;else for(let m0=0;m0<d0.length;++m0)d0[m0]=_+Math.max(N,d0[m0]);if(z!==null&&I!==null){let m0=Math.min(d0.length,p0*R0);switch(I){case"log":for(let ZQ=0;ZQ<m0;++ZQ)d0[ZQ]=Math.log(d0[ZQ]);break;case"log10":for(let ZQ=0;ZQ<m0;++ZQ)d0[ZQ]=Math.log10(d0[ZQ]);break;case"log10_max_norm":{for(let h0=0;h0<m0;++h0)d0[h0]=Math.log10(d0[h0]);let LQ=(R??D7(d0)[0])-8;for(let h0=0;h0<m0;++h0)d0[h0]=(Math.max(d0[h0],LQ)+4)/4;break}case"dB":if(z===1)jUQ(d0,w,E,T);else if(z===2)CUQ(d0,w,E,T);else throw Error(`Cannot use log_mel option '${I}' with power ${z}`);break;default:throw Error(`log_mel must be one of null, 'log', 'log10', 'log10_max_norm', or 'dB'. Got '${I}'`)}}return l0}function m5(Q,J,{periodic:G=!0,frame_length:H=null,center:K=!0}={}){let z=G?Q+1:Q,q;switch(J){case"boxcar":q=new Float64Array(z).fill(1);break;case"hann":case"hann_window":q=ZI0(z);break;case"hamming":q=DUQ(z);break;case"povey":q=ZI0(z).map((V)=>Math.pow(V,0.85));break;default:throw Error(`Unknown window type ${J}.`)}if(G)q=q.subarray(0,Q);if(H===null||Q===H)return q;if(Q>H)throw Error(`Length of the window (${Q}) may not be larger than frame_length (${H})`);let F=new Float64Array(H),D=K?Math.floor((H-Q)/2):0;return F.set(q,D),F}function IUQ(Q,J){let G=Q.reduce((z,q)=>z+q.length,0),H=new ArrayBuffer(44),K=new DataView(H);return QR(K,0,"RIFF"),K.setUint32(4,36+G*4,!0),QR(K,8,"WAVE"),QR(K,12,"fmt "),K.setUint32(16,16,!0),K.setUint16(20,3,!0),K.setUint16(22,1,!0),K.setUint32(24,J,!0),K.setUint32(28,J*4,!0),K.setUint16(32,4,!0),K.setUint16(34,32,!0),QR(K,36,"data"),K.setUint32(40,G*4,!0),new Blob([H,...Q.map((z)=>z.buffer)],{type:"audio/wav"})}function QR(Q,J,G){for(let H=0;H<G.length;++H)Q.setUint8(J+H,G.charCodeAt(H))}var RUQ=class{constructor(Q,J){this.audio=Q,this.sampling_rate=J}get data(){if(Array.isArray(this.audio)){if(this.audio.length===0)return new Float32Array(0);if(this.audio.length===1)return this.audio[0];let Q=this.audio.reduce((H,K)=>H+K.length,0),J=new Float32Array(Q),G=0;for(let H of this.audio)J.set(H,G),G+=H.length;return J}else return this.audio}toBlob(){let Q=this.audio;if(Q instanceof Float32Array)Q=[Q];return IUQ(Q,this.sampling_rate)}async save(Q){return Dw0(Q,this.toBlob())}},wUQ=class extends rX{constructor(Q){super(Q);let J=this.config.sampling_rate,G=vW(257,this.config.num_mel_bins,20,Math.floor(J/2),J,null,"kaldi",!0);this.mel_filters=G,this.window=m5(400,"hann",{periodic:!1}),this.mean=this.config.mean,this.std=this.config.std}async _extract_fbank_features(Q,J){return gW(Q,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:0.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:0.0000001192092955078125,remove_dc_offset:!0,max_num_frames:J,transpose:!0})}async _call(Q){EX(Q,"ASTFeatureExtractor");let J=await this._extract_fbank_features(Q,this.config.max_length);if(this.config.do_normalize){let G=this.std*2,H=J.data;for(let K=0;K<H.length;++K)H[K]=(H[K]-this.mean)/G}return{input_values:J.unsqueeze_(0)}}},Ow0=class extends rX{async _call(Q){if(EX(Q,"EncodecFeatureExtractor"),Q instanceof Float64Array)Q=new Float32Array(Q);let J=this.config.feature_size;if(Q.length%J!==0)throw Error(`The length of the audio data must be a multiple of the number of channels (${J}).`);let G=[1,J,Q.length/J];return{input_values:new PQ("float32",Q,G)}}},EUQ=class extends rX{async _call(Q){if(EX(Q,"ChatterboxFeatureExtractor"),Q instanceof Float64Array)Q=new Float32Array(Q);let J=[1,Q.length];return{input_values:new PQ("float32",Q,J)}}},SUQ=class extends rX{constructor(Q){super(Q);this.mel_filters=vW(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=vW(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=m5(this.config.fft_window_size,"hann")}async _get_input_mel(Q,J,G,H){let K,z=!1,q=Q.length-J;if(q>0)if(G==="rand_trunc"){z=!0;let F=Math.floor(C90.random()*(q+1));Q=Q.subarray(F,F+J),K=await this._extract_fbank_features(Q,this.mel_filters_slaney,this.config.nb_max_samples)}else throw Error(`Truncation strategy "${G}" not implemented`);else{if(q<0){let F=new Float64Array(J);if(F.set(Q),H==="repeat")for(let D=Q.length;D<J;D+=Q.length)F.set(Q.subarray(0,Math.min(Q.length,J-D)),D);else if(H==="repeatpad")for(let D=Q.length;D<-q;D+=Q.length)F.set(Q,D);Q=F}if(G==="fusion")throw Error(`Truncation strategy "${G}" not implemented`);K=await this._extract_fbank_features(Q,this.mel_filters_slaney,this.config.nb_max_samples)}return K.unsqueeze_(0)}async _extract_fbank_features(Q,J,G=null){return gW(Q,this.window,this.config.fft_window_size,this.config.hop_length,{power:2,mel_filters:J,log_mel:"dB",max_num_frames:G,do_pad:!1,transpose:!0})}async _call(Q,{max_length:J=null}={}){return EX(Q,"ClapFeatureExtractor"),{input_features:(await this._get_input_mel(Q,J??this.config.nb_max_samples,this.config.truncation,this.config.padding)).unsqueeze_(0)}}},TUQ=0.00001,Pw0=class extends rX{constructor(Q){super(Q);this.config.mel_filters??=vW(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,this.config.sampling_rate/2,this.config.sampling_rate,"slaney","slaney");let J=m5(this.config.win_length,"hann",{periodic:!1});this.window=new Float64Array(this.config.n_fft);let G=Math.floor((this.config.n_fft-this.config.win_length)/2);this.window.set(J,G)}async _extract_fbank_features(Q){let J=this.config.preemphasis;Q=new Float64Array(Q);for(let H=Q.length-1;H>=1;--H)Q[H]-=J*Q[H-1];return await gW(Q,this.window,this.window.length,this.config.hop_length,{fft_length:this.config.n_fft,power:2,mel_filters:this.config.mel_filters,log_mel:"log",mel_floor:-1/0,pad_mode:"constant",center:!0,transpose:!0,mel_offset:0.00000005960464477539063})}async _call(Q){EX(Q,"ParakeetFeatureExtractor");let J=await this._extract_fbank_features(Q),G=Math.floor((Q.length+Math.floor(this.config.n_fft/2)*2-this.config.n_fft)/this.config.hop_length),H=J.data;H.fill(0,G*J.dims[1]);let[K,z]=J.dims,q=new Float64Array(z),F=new Float64Array(z);for(let O=0;O<G;++O){let P=O*z;for(let N=0;N<z;++N){let I=H[P+N];q[N]+=I,F[N]+=I*I}}let D=G>1?G-1:1;for(let O=0;O<z;++O){let P=q[O]/G,N=(F[O]-G*P*P)/D,R=1/(Math.sqrt(N)+TUQ);for(let w=0;w<G;++w){let E=w*z+O;H[E]=(H[E]-P)*R}}let V=new BigInt64Array(K);return V.fill(1n,0,G),{input_features:J.unsqueeze_(0),attention_mask:new PQ("int64",V,[1,K])}}},kUQ=class extends Pw0{_apply_dither(Q){let J=this.config.dither??0;if(J<=0)return Q;let G=new ER(Q.length);for(let H=0;H<Q.length;++H)Q[H]+=J*G.gauss();return Q}split_audio(Q){let J=this.config.max_audio_clip_s??35,G=this.config.overlap_chunk_second??5,H=this.config.min_energy_window_samples??1600,K=this.config.sampling_rate,z=Math.max(1,Math.round(J*K)),q=Math.max(1,Math.round(G*K));if(Q.length<=z)return[Q];let F=[],D=0,V=Q.length;while(D<V){if(D+z>=V){F.push(Q.slice(D,V));break}let O=Math.max(D,D+z-q),P=Math.min(D+z,V),N;if(P<=O)N=D+z;else N=this._find_split_point_energy(Q,O,P,H);N=Math.max(D+1,Math.min(N,V)),F.push(Q.slice(D,N)),D=N}return F}_find_split_point_energy(Q,J,G,H){let K=G-J;if(K<=H)return Math.floor((J+G)/2);let z=1/0,q=J,F=K-H;for(let D=0;D<=F;D+=H){let V=0;for(let O=0;O<H;++O){let P=Q[J+D+O];V+=P*P}if(V=Math.sqrt(V/H),V<z)z=V,q=J+D}return q}async _call(Q){EX(Q,"CohereAsrFeatureExtractor");let J=new Float64Array(Q);return this._apply_dither(J),super._call(J)}},Nw0=class extends Ow0{},jw0=class extends rX{constructor(Q){super(Q);let{fft_length:J,feature_size:G,min_frequency:H,max_frequency:K,sampling_rate:z,frame_length:q}=this.config,F=vW(Math.floor(1+J/2),G,H,K,z,null,"htk",!1);this.mel_filters=F,this.window=m5(q,"hann")}async _extract_fbank_features(Q,J){return gW(Q,this.window,this.config.frame_length,this.config.hop_length,{fft_length:this.config.fft_length,center:!1,onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:"log",mel_floor:this.config.mel_floor,remove_dc_offset:!1,transpose:!0})}async _call(Q,{max_length:J=480000,truncation:G=!0,padding:H=!0,pad_to_multiple_of:K=128}={}){if(EX(Q,"Gemma3nAudioFeatureExtractor"),G&&Q.length>J)Q=Q.slice(0,J);if(H&&Q.length%K!==0){let F=K-Q.length%K,D=new Float64Array(Q.length+F);if(D.set(Q),this.config.padding_value!==0)D.fill(this.config.padding_value,Q.length);Q=D}let z=await this._extract_fbank_features(Q,this.config.max_length),q=sX([1,z.dims[0]],!0);return{input_features:z.unsqueeze_(0),input_features_mask:q}}},Cw0=class extends jw0{async _extract_fbank_features(Q,J){let{frame_length:G,hop_length:H,fft_length:K}=this.config,z=Math.floor(G/2),q=Math.floor((Q.length+z-(G+1))/H)+1;return gW(Q,this.window,G,H,{fft_length:K,center:!0,pad_mode:"semicausal",onesided:!0,preemphasis:this.config.preemphasis,preemphasis_htk_flavor:this.config.preemphasis_htk_flavor,mel_filters:this.mel_filters,log_mel:"log",mel_floor:this.config.mel_floor,mel_floor_mode:"add",remove_dc_offset:!1,transpose:!0,max_num_frames:q})}async _call(Q,J={}){EX(Q,"Gemma4AudioFeatureExtractor");let G=Q.length,H=await super._call(Q,J),{input_features:K}=H,[,z,q]=K.dims,{frame_length:F,hop_length:D}=this.config,V=Math.floor(F/2),O=F+1,P=new Uint8Array(G+V+(J.pad_to_multiple_of??128));P.fill(1,V,V+G);let N=new Uint8Array(z);for(let R=0;R<z;++R)N[R]=P[R*D+O-1]?1:0;let I=K.data;for(let R=0;R<z;++R)if(!N[R])I.fill(0,R*q,(R+1)*q);return H.input_features_mask=new PQ("bool",N,[1,z]),H}},yUQ=class extends rX{constructor(Q){super(Q);let{n_fft:J,win_length:G,n_mels:H,sample_rate:K}=Q.melspec_kwargs;this.mel_filters=vW(Math.floor(1+J/2),H,0,K/2,K,null,"htk");let z=m5(G,"hann");this.window=new Float64Array(J);let q=Math.floor((J-G)/2);this.window.set(z,q)}async _call(Q){EX(Q,"GraniteSpeechFeatureExtractor");let{n_fft:J,hop_length:G,n_mels:H}=this.config.melspec_kwargs,K=1+Math.floor((Q.length-1)/G),z=K-K%2;return{input_features:(await gW(Q,this.window,J,G,{power:2,mel_filters:this.mel_filters,log_mel:"log10_max_norm",transpose:!0,max_num_frames:z,do_pad:!1})).view(-1,2*H).unsqueeze_(0)}}},vUQ=class extends rX{async _call(Q){if(EX(Q,"MoonshineFeatureExtractor"),Q instanceof Float64Array)Q=new Float32Array(Q);let J=[1,Q.length];return{input_values:new PQ("float32",Q,J)}}},Iw0=class extends rX{async _call(Q){if(EX(Q,"PyAnnoteFeatureExtractor"),Q instanceof Float64Array)Q=new Float32Array(Q);let J=[1,1,Q.length];return{input_values:new PQ("float32",Q,J)}}samples_to_frames(Q){return(Q-this.config.offset)/this.config.step}post_process_speaker_diarization(Q,J){let G=J/this.samples_to_frames(J)/this.config.sampling_rate,H=[];for(let K of Q.tolist()){let z=[],q=-1;for(let F=0;F<K.length;++F){let D=wX(K[F]),[V,O]=D7(D),[P,N]=[F,F+1];if(O!==q)q=O,z.push({id:O,start:P,end:N,score:V});else z.at(-1).end=N,z.at(-1).score+=V}H.push(z.map(({id:F,start:D,end:V,score:O})=>({id:F,start:D*G,end:V*G,confidence:O/(V-D)})))}return H}},xUQ=class extends rX{constructor(Q){super(Q);let J=this.config.sampling_rate,G=vW(257,this.config.num_mel_bins,20,Math.floor(J/2),J,null,"kaldi",!0);this.mel_filters=G,this.window=m5(400,"povey",{periodic:!1})}async _extract_fbank_features(Q,J){return Q=Q.map((G)=>G*32768),gW(Q,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:0.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:0.0000001192092955078125,remove_dc_offset:!0,max_num_frames:J,transpose:!0})}async _call(Q,{padding:J=!0,pad_to_multiple_of:G=2,do_normalize_per_mel_bins:H=!0,return_attention_mask:K=!0}={}){EX(Q,"SeamlessM4TFeatureExtractor");let z=await this._extract_fbank_features(Q,this.config.max_length);if(H){let[I,R]=z.dims,w=z.data;for(let E=0;E<R;++E){let T=0;for(let g=0;g<I;++g)T+=w[g*R+E];let y=T/I,x=0;for(let g=0;g<I;++g)x+=(w[g*R+E]-y)**2;x/=I-1;let b=Math.sqrt(x+0.0000001);for(let g=0;g<I;++g){let l=g*R+E;w[l]=(w[l]-y)/b}}}let q;if(J){let[I,R]=z.dims,w=z.data,E=I%G;if(E>0){let T=new Float32Array(R*(I+E));T.set(w),T.fill(this.config.padding_value,w.length);let y=I+E;if(z=new PQ(z.type,T,[y,R]),K)q=new PQ("int64",new BigInt64Array(y),[1,y]),q.data.fill(1n,0,I)}}let[F,D]=z.dims,V=this.config.stride;if(F%V!==0)throw Error(`The number of frames (${F}) must be a multiple of the stride (${V}).`);let P=z.view(1,Math.floor(F/V),D*V),N={input_features:P};if(K){let I=P.dims[1],R=new BigInt64Array(I);if(q){let w=q.data;for(let E=1,T=0;E<F;E+=V,++T)R[T]=w[E]}else R.fill(1n);N.attention_mask=new PQ("int64",R,[1,I])}return N}},bUQ=class extends Nw0{},gUQ=class extends rX{},hUQ=class extends rX{_zero_mean_unit_var_norm(Q){let G=Q.reduce((K,z)=>K+z,0)/Q.length,H=Q.reduce((K,z)=>K+(z-G)**2,0)/Q.length;return Q.map((K)=>(K-G)/Math.sqrt(H+0.0000001))}async _call(Q){if(EX(Q,"Wav2Vec2FeatureExtractor"),Q instanceof Float64Array)Q=new Float32Array(Q);let J=Q;if(this.config.do_normalize)J=this._zero_mean_unit_var_norm(J);let G=[1,J.length];return{input_values:new PQ("float32",J,G),attention_mask:new PQ("int64",new BigInt64Array(J.length).fill(1n),G)}}},_UQ=class extends rX{constructor(Q){super(Q);let J=this.config.sampling_rate,G=vW(257,this.config.num_mel_bins,20,Math.floor(J/2),J,null,"kaldi",!0);this.mel_filters=G,this.window=m5(400,"hamming",{periodic:!1}),this.min_num_frames=this.config.min_num_frames}async _extract_fbank_features(Q){return Q=Q.map((J)=>J*32768),gW(Q,this.window,400,160,{fft_length:512,power:2,center:!1,preemphasis:0.97,mel_filters:this.mel_filters,log_mel:"log",mel_floor:0.0000001192092955078125,remove_dc_offset:!0,transpose:!0,min_num_frames:this.min_num_frames})}async _call(Q){EX(Q,"WeSpeakerFeatureExtractor");let J=(await this._extract_fbank_features(Q)).unsqueeze_(0);if(this.config.fbank_centering_span===null){let G=J.mean(1).data,H=J.data,[K,z,q]=J.dims;for(let F=0;F<K;++F){let D=F*z*q,V=F*q;for(let O=0;O<z;++O){let P=D+O*q;for(let N=0;N<q;++N)H[P+N]-=G[V+N]}}}return{input_features:J}}},fUQ=class extends rX{constructor(Q){super(Q);this.config.mel_filters??=vW(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8000,this.config.sampling_rate,"slaney","slaney"),this.window=m5(this.config.n_fft,"hann")}async _extract_fbank_features(Q,{center:J=!0}={}){let{n_fft:G,hop_length:H,mel_filters:K,global_log_mel_max:z}=this.config,q=J?Math.floor(Q.length/H):Math.floor((Q.length-G)/H);return await gW(Q,this.window,G,H,{power:2,mel_filters:K,log_mel:"log10_max_norm",max_log_mel:z,center:J,max_num_frames:q,do_pad:!1})}async _call(Q,{center:J=!0}={}){return EX(Q,"VoxtralRealtimeFeatureExtractor"),{input_features:(await this._extract_fbank_features(Q,{center:J})).unsqueeze_(0)}}},mUQ=class extends rX{constructor(Q){super(Q);this.config.mel_filters??=vW(Math.floor(1+this.config.n_fft/2),this.config.feature_size,0,8000,this.config.sampling_rate,"slaney","slaney"),this.window=m5(this.config.n_fft,"hann")}async _extract_fbank_features(Q){return await gW(Q,this.window,this.config.n_fft,this.config.hop_length,{power:2,mel_filters:this.config.mel_filters,log_mel:"log10_max_norm",max_num_frames:Math.min(Math.floor(Q.length/this.config.hop_length),this.config.nb_max_frames)})}async _call(Q,{max_length:J=null}={}){EX(Q,"WhisperFeatureExtractor");let G,H=J??this.config.n_samples;if(Q.length>H){if(Q.length>this.config.n_samples)g8.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`.");G=Q.slice(0,H)}else G=new Float32Array(H),G.set(Q);return{input_features:(await this._extract_fbank_features(G)).unsqueeze_(0)}}},aY=class{static async from_pretrained(Q,J={}){let G=await bW(Q,a90,!0,J),H=G.feature_extractor_type,K=s90[H];if(!K)throw Error(`Unknown feature_extractor_type: '${H}'. Please report this at ${SR}.`);return new K(G)}},uUQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;async _call(Q,J=null){let G=this.tokenizer(Q),H=J?await this.feature_extractor(J):{};return{...G,...H}}},pUQ=new Set(["ja","zh"]),lUQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;static uses_processor_config=!0;get_decoder_prompt_ids(Q="en"){let J=["▁","<|startofcontext|>","<|startoftranscript|>","<|emo:undefined|>",`<|${Q}|>`,`<|${Q}|>`,"<|pnc|>","<|noitn|>","<|notimestamp|>","<|nodiarize|>"];return this.tokenizer.convert_tokens_to_ids(J)}static join_chunks(Q,J="en"){let G=Q.filter((z)=>z&&z.trim());if(G.length===0)return"";let H=pUQ.has(J)?"":" ";return[G[0].trimEnd(),...G.slice(1).map((z)=>z.trim())].join(H)}async _call(Q){return await this.feature_extractor(Q)}},XB,Rw0,qH;if(Y6.IS_WEB_ENV)XB=(Q,J)=>{if(!self.OffscreenCanvas)throw Error("OffscreenCanvas not supported by this environment.");return new self.OffscreenCanvas(Q,J)},qH=self.createImageBitmap,Rw0=self.ImageData;else if(OR.default)qH=async(Q)=>{let G=(await Q.metadata()).channels,{data:H,info:K}=await Q.rotate().raw().toBuffer({resolveWithObject:!0}),z=new gG(new Uint8ClampedArray(H),K.width,K.height,K.channels);if(G!==void 0&&G!==K.channels)z.convert(G);return z};else throw Error("Unable to load image processing library.");var dUQ={0:"nearest",1:"lanczos",2:"bilinear",3:"bicubic",4:"box",5:"hamming"},cUQ=new Map([["png","image/png"],["jpg","image/jpeg"],["jpeg","image/jpeg"],["gif","image/gif"]]),gG=class Q{constructor(J,G,H,K){this.data=J,this.width=G,this.height=H,this.channels=K}get size(){return[this.width,this.height]}static async read(J){if(J instanceof Q)return J;else if(typeof J==="string"||J instanceof URL)return await this.fromURL(J);else if(J instanceof Blob)return await this.fromBlob(J);else if(typeof HTMLCanvasElement<"u"&&J instanceof HTMLCanvasElement||typeof OffscreenCanvas<"u"&&J instanceof OffscreenCanvas)return this.fromCanvas(J);else throw Error(`Unsupported input type: ${typeof J}`)}static fromCanvas(J){if(!Y6.IS_WEB_ENV)throw Error("fromCanvas() is only supported in browser environments.");let H=J.getContext("2d").getImageData(0,0,J.width,J.height).data;return new Q(H,J.width,J.height,4)}static async fromURL(J){let G=await xF(J);if(G.status!==200)throw Error(`Unable to read image from "${J}" (${G.status} ${G.statusText})`);let H=await G.blob();return this.fromBlob(H)}static async fromBlob(J){if(Y6.IS_WEB_ENV){let G=await qH(J),H=XB(G.width,G.height).getContext("2d");return H.drawImage(G,0,0),new this(H.getImageData(0,0,G.width,G.height).data,G.width,G.height,4)}else{let G=OR.default(await J.arrayBuffer());return await qH(G)}}static fromTensor(J,G="CHW"){if(J.dims.length!==3)throw Error(`Tensor should have 3 dimensions, but has ${J.dims.length} dimensions.`);if(G==="CHW")J=J.transpose(1,2,0);else if(G==="HWC");else throw Error(`Unsupported channel format: ${G}`);if(!(J.data instanceof Uint8ClampedArray||J.data instanceof Uint8Array))throw Error(`Unsupported tensor type: ${J.type}`);switch(J.dims[2]){case 1:case 2:case 3:case 4:return new Q(J.data,J.dims[1],J.dims[0],J.dims[2]);default:throw Error(`Unsupported number of channels: ${J.dims[2]}`)}}grayscale(){if(this.channels===1)return this;let J=new Uint8ClampedArray(this.width*this.height*1);switch(this.channels){case 3:case 4:for(let G=0,H=0;G<this.data.length;G+=this.channels){let K=this.data[G],z=this.data[G+1],q=this.data[G+2];J[H++]=Math.round(0.2989*K+0.587*z+0.114*q)}break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(J,this.width,this.height,1)}rgb(){if(this.channels===3)return this;let J=new Uint8ClampedArray(this.width*this.height*3);switch(this.channels){case 1:for(let G=0,H=0;G<this.data.length;++G)J[H++]=this.data[G],J[H++]=this.data[G],J[H++]=this.data[G];break;case 4:for(let G=0,H=0;G<this.data.length;G+=4)J[H++]=this.data[G],J[H++]=this.data[G+1],J[H++]=this.data[G+2];break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(J,this.width,this.height,3)}rgba(){if(this.channels===4)return this;let J=new Uint8ClampedArray(this.width*this.height*4);switch(this.channels){case 1:for(let G=0,H=0;G<this.data.length;++G)J[H++]=this.data[G],J[H++]=this.data[G],J[H++]=this.data[G],J[H++]=255;break;case 3:for(let G=0,H=0;G<this.data.length;G+=3)J[H++]=this.data[G],J[H++]=this.data[G+1],J[H++]=this.data[G+2],J[H++]=255;break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this._update(J,this.width,this.height,4)}putAlpha(J){if(J.width!==this.width||J.height!==this.height)throw Error(`Expected mask size to be ${this.width}x${this.height}, but got ${J.width}x${J.height}`);if(J.channels!==1)throw Error(`Expected mask to have 1 channel, but got ${J.channels}`);let G=this.data,H=J.data,K=this.width*this.height;if(this.channels===3){let z=new Uint8ClampedArray(K*4);for(let q=0,F=0,D=0;q<K;++q)z[D++]=G[F++],z[D++]=G[F++],z[D++]=G[F++],z[D++]=H[q];return this._update(z,this.width,this.height,4)}else if(this.channels===4){for(let z=0;z<K;++z)G[4*z+3]=H[z];return this}throw Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`)}async resize(J,G,{resample:H=2}={}){if(this.width===J&&this.height===G)return this;let K=dUQ[H]??H,z=KC0(J),q=KC0(G);if(z&&q)return this;else if(z)J=G/this.height*this.width;else if(q)G=J/this.width*this.height;if(Y6.IS_WEB_ENV){let F=this.channels,D=this.toCanvas(),V=XB(J,G).getContext("2d");return V.drawImage(D,0,0,J,G),new Q(V.getImageData(0,0,J,G).data,J,G,4).convert(F)}else{let F=this.toSharp();switch(K){case"box":case"hamming":if(K==="box"||K==="hamming")g8.warn(`Resampling method ${K} is not yet supported. Using bilinear instead.`),K="bilinear";case"nearest":case"bilinear":case"bicubic":F=F.affine([J/this.width,0,0,G/this.height],{interpolator:K});break;case"lanczos":F=F.resize({width:J,height:G,fit:"fill",kernel:"lanczos3"});break;default:throw Error(`Resampling method ${K} is not supported.`)}return await qH(F)}}async pad([J,G,H,K]){if(J=Math.max(J,0),G=Math.max(G,0),H=Math.max(H,0),K=Math.max(K,0),J===0&&G===0&&H===0&&K===0)return this;if(Y6.IS_WEB_ENV){let z=this.channels,q=this.toCanvas(),F=this.width+J+G,D=this.height+H+K,V=XB(F,D).getContext("2d");return V.drawImage(q,0,0,this.width,this.height,J,H,this.width,this.height),new Q(V.getImageData(0,0,F,D).data,F,D,4).convert(z)}else{let z=this.toSharp().extend({left:J,right:G,top:H,bottom:K});return await qH(z)}}async crop([J,G,H,K]){if(J=Math.max(J,0),G=Math.max(G,0),H=Math.min(H,this.width-1),K=Math.min(K,this.height-1),J===0&&G===0&&H===this.width-1&&K===this.height-1)return this;let z=H-J+1,q=K-G+1;if(Y6.IS_WEB_ENV){let F=this.channels,D=this.toCanvas(),V=XB(z,q).getContext("2d");return V.drawImage(D,J,G,z,q,0,0,z,q),new Q(V.getImageData(0,0,z,q).data,z,q,4).convert(F)}else{let F=this.toSharp().extract({left:J,top:G,width:z,height:q});return await qH(F)}}async center_crop(J,G){if(this.width===J&&this.height===G)return this;let H=(this.width-J)/2,K=(this.height-G)/2;if(Y6.IS_WEB_ENV){let z=this.channels,q=this.toCanvas(),F=XB(J,G).getContext("2d"),D=0,V=0,O=0,P=0;if(H>=0)D=H;else O=-H;if(K>=0)V=K;else P=-K;return F.drawImage(q,D,V,J,G,O,P,J,G),new Q(F.getImageData(0,0,J,G).data,J,G,4).convert(z)}else{let z=this.toSharp();if(H>=0&&K>=0)z=z.extract({left:Math.floor(H),top:Math.floor(K),width:J,height:G});else if(H<=0&&K<=0){let q=Math.floor(-K),F=Math.floor(-H);z=z.extend({top:q,left:F,right:J-this.width-F,bottom:G-this.height-q})}else{let q=[0,0],F=0;if(K<0)q[0]=Math.floor(-K),q[1]=G-this.height-q[0];else F=Math.floor(K);let D=[0,0],V=0;if(H<0)D[0]=Math.floor(-H),D[1]=J-this.width-D[0];else V=Math.floor(H);z=z.extend({top:q[0],bottom:q[1],left:D[0],right:D[1]}).extract({left:V,top:F,width:J,height:G})}return await qH(z)}}async toBlob(J="image/png",G=1){if(!Y6.IS_WEB_ENV)throw Error("toBlob() is only supported in browser environments.");return await this.toCanvas().convertToBlob({type:J,quality:G})}toTensor(J="CHW"){let G=new PQ("uint8",new Uint8Array(this.data),[this.height,this.width,this.channels]);if(J==="HWC");else if(J==="CHW")G=G.permute(2,0,1);else throw Error(`Unsupported channel format: ${J}`);return G}toCanvas(){if(!Y6.IS_WEB_ENV)throw Error("toCanvas() is only supported in browser environments.");let J=this.clone().rgba(),G=XB(J.width,J.height),H=new Rw0(J.data,J.width,J.height);return G.getContext("2d").putImageData(H,0,0),G}split(){let{data:J,width:G,height:H,channels:K}=this,z=J.constructor,q=J.length/K,F=Array.from({length:K},()=>new z(q));for(let D=0;D<q;++D){let V=K*D;for(let O=0;O<K;++O)F[O][D]=J[V+O]}return F.map((D)=>new Q(D,G,H,1))}_update(J,G,H,K=null){if(this.data=J,this.width=G,this.height=H,K!==null)this.channels=K;return this}clone(){return new Q(this.data.slice(),this.width,this.height,this.channels)}convert(J){if(this.channels===J)return this;switch(J){case 1:this.grayscale();break;case 3:this.rgb();break;case 4:this.rgba();break;default:throw Error(`Conversion failed due to unsupported number of channels: ${this.channels}`)}return this}async save(J){if(Y6.IS_WEB_ENV){if(Y6.IS_WEBWORKER_ENV)throw Error("Unable to save an image from a Web Worker.");let G=J.split(".").pop().toLowerCase(),H=cUQ.get(G)??"image/png",K=await this.toBlob(H);return Dw0(J,K)}else if(Y6.IS_FS_AVAILABLE)await this.toSharp().toFile(J);else throw Error("Unable to save the image because filesystem is disabled in this environment.")}toSharp(){if(Y6.IS_WEB_ENV)throw Error("toSharp() is only supported in server-side environments.");return OR.default(this.data,{raw:{width:this.width,height:this.height,channels:this.channels}})}},vz8=gG.read.bind(gG);function DI0(Q,J,G=0,H=null){let K=Q/J,z=PVQ(K)*J;if(H!==null&&z>H)z=Math.floor(K)*J;if(z<G)z=Math.ceil(K)*J;return z}function MI0([Q,J],G){return[Math.max(Math.floor(Q/G),1)*G,Math.max(Math.floor(J/G),1)*G]}function ww0([Q,J,G,H]){return[Q-G/2,J-H/2,Q+G/2,J+H/2]}function TR(Q,J=0.5,G=null,H=!1){let{logits:K,pred_boxes:z}=Q,[q,F,D]=K.dims;if(G!==null&&G.length!==q)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let V=[];for(let O=0;O<q;++O){let P=G!==null?G[O]:null,N={boxes:[],classes:[],scores:[]},I=K[O],R=z[O];for(let w=0;w<F;++w){let E=I[w],T=[],y;if(H){y=E.sigmoid().data;for(let x=0;x<y.length;++x)if(y[x]>J)T.push(x)}else{let x=D7(E.data)[1];if(x===D-1)continue;if(y=wX(E.data),y[x]<J)continue;T.push(x)}for(let x of T){let b=R[w].data;if(b=ww0(b),P!==null)b=b.map((g,l)=>g*P[(l+1)%2]);N.boxes.push(b),N.classes.push(x),N.scores.push(y[x])}}V.push(N)}return V}function Ew0(Q,J=null){let G=Q.logits,H=G.dims[0];if(J!==null&&J.length!==H)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let K=[];for(let z=0;z<H;++z){let q=J!==null?J[z]:null,F=G[z];if(q!==null)F=Jw0(F,q,"bilinear",!1);let[D,V]=q??F.dims.slice(-2),O=new PQ("int32",new Int32Array(D*V),[D,V]),P=F[0].data,N=O.data;for(let w=1;w<F.dims[0];++w){let E=F[w].data;for(let T=0;T<E.length;++T)if(E[T]>P[T])P[T]=E[T],N[T]=w}let I=Array(F.dims[0]);for(let w=0;w<N.length;++w){let E=N[w];I[E]=E}let R=I.filter((w)=>w!==void 0);K.push({segmentation:O,labels:R})}return K}function iUQ(Q,J,G,H){let K=[],z=[],q=[];for(let F=0;F<Q.dims[0];++F){let D=Q[F],V=J[F],O=D7(D.data)[1];if(O===H)continue;let N=wX(D.data)[O];if(N>G)K.push(V),z.push(N),q.push(O)}return[K,z,q]}function oUQ(Q,J,G,H=0.5,K=0.8){let z=[],q=0,F=0,D=J[G].data;for(let O=0;O<Q.length;++O){if(Q[O]===G)z.push(O),++q;if(D[O]>=H)++F}let V=q>0&&F>0;if(V)V=q/F>K;return[V,z]}function nUQ(Q,J,G,H,K,z=null,q=null){let[F,D]=q??Q[0].dims,V=new PQ("int32",new Int32Array(F*D),[F,D]),O=[];if(q!==null)for(let w=0;w<Q.length;++w)Q[w]=Jw0(Q[w],q,"bilinear",!1);let P=new Int32Array(Q[0].data.length),N=new Float32Array(Q[0].data.length);for(let w=0;w<Q.length;++w){let E=J[w],T=Q[w].data;for(let y=0;y<T.length;++y)if(T[y]*=E,T[y]>N[y])P[y]=w,N[y]=T[y]}let I=0,R=V.data;for(let w=0;w<G.length;++w){let E=G[w],[T,y]=oUQ(P,Q,w,H,K);if(!T)continue;++I;for(let x of y)R[x]=I;O.push({id:I,label_id:E,score:J[w]})}return[V,O]}function r90(Q,J,G=28,H=3136,K=1003520,z=1){if(Q<G||J<G){let D=Math.max(G/Q,G/J);Q=Math.round(Q*D),J=Math.round(J*D)}if(Math.max(Q,J)/Math.min(Q,J)>200)throw Error(`absolute aspect ratio must be smaller than 200, got ${Math.max(Q,J)/Math.min(Q,J)}`);let q=Math.round(Q/G)*G,F=Math.round(J/G)*G;if(z*q*F>K){let D=Math.sqrt(z*Q*J/K);q=Math.max(G,Math.floor(Q/D/G)*G),F=Math.max(G,Math.floor(J/D/G)*G)}else if(z*q*F<H){let D=Math.sqrt(H/(z*Q*J));q=Math.ceil(Q*D/G)*G,F=Math.ceil(J*D/G)*G}return[F,q]}function Sw0(Q,J=0.5,G=0.5,H=0.8,K=null,z=null){if(K===null)g8.warn("`label_ids_to_fuse` unset. No instance will be fused."),K=new Set;let q=Q.class_queries_logits??Q.logits,D=(Q.masks_queries_logits??Q.pred_masks).sigmoid(),[V,O,P]=q.dims;if(P-=1,z!==null&&z.length!==V)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let N=[];for(let I=0;I<V;++I){let R=z!==null?z[I]:null,w=q[I],E=D[I],[T,y,x]=iUQ(w,E,J,P);if(x.length===0){let[l,_]=R??E.dims.slice(-2),a=new PQ("int32",new Int32Array(l*_).fill(-1),[l,_]);N.push({segmentation:a,segments_info:[]});continue}let[b,g]=nUQ(T,y,x,G,H,K,R);N.push({segmentation:b,segments_info:g})}return N}function Tw0(Q,J=0.5,G=null){throw Error("`post_process_instance_segmentation` is not yet implemented.")}var p8=class extends nJ{constructor(Q){super();if(this.image_mean=Q.image_mean??Q.mean,this.image_std=Q.image_std??Q.std,this.resample=Q.resample??2,this.do_rescale=Q.do_rescale??!0,this.rescale_factor=Q.rescale_factor??0.00392156862745098,this.do_normalize=Q.do_normalize,this.do_thumbnail=Q.do_thumbnail,this.size=Q.size??Q.image_size,this.do_resize=Q.do_resize??this.size!==void 0,this.size_divisibility=Q.size_divisibility??Q.size_divisor,this.do_center_crop=Q.do_center_crop,this.crop_size=Q.crop_size,this.do_convert_rgb=Q.do_convert_rgb??!0,this.do_crop_margin=Q.do_crop_margin,this.pad_size=Q.pad_size,this.do_pad=Q.do_pad,this.min_pixels=Q.min_pixels,this.max_pixels=Q.max_pixels,this.do_pad&&!this.pad_size&&!this.size_divisibility&&this.size&&this.size.width!==void 0&&this.size.height!==void 0)this.pad_size=this.size;this.do_flip_channel_order=Q.do_flip_channel_order??!1,this.config=Q}async thumbnail(Q,J,G=2){let{height:H,width:K}=Q,z=J.height,q=J.width,F=Math.min(H,z),D=Math.min(K,q);if(F===H&&D===K)return Q;if(H>K)D=Math.floor(K*F/H);else if(K>H)F=Math.floor(H*D/K);return await Q.resize(D,F,{resample:G})}async crop_margin(Q,J=200){let G=Q.clone().grayscale(),H=G90(G.data)[0],z=D7(G.data)[0]-H;if(z===0)return Q;let q=J/255,F=G.width,D=G.height,V=0,O=0,P=G.data;for(let N=0;N<G.height;++N){let I=N*G.width;for(let R=0;R<G.width;++R)if((P[I+R]-H)/z<q)F=Math.min(F,R),D=Math.min(D,N),V=Math.max(V,R),O=Math.max(O,N)}return Q=await Q.crop([F,D,V,O]),Q}pad_image(Q,J,G,{mode:H="constant",center:K=!1,constant_values:z=0}={}){let[q,F,D]=J,V,O;if(typeof G==="number")V=G,O=G;else if(G==="square")V=O=Math.max(q,F);else V=G.width,O=G.height;if(V!==F||O!==q){let P=new Float32Array(V*O*D);if(Array.isArray(z))for(let R=0;R<P.length;++R)P[R]=z[R%D];else if(z!==0)P.fill(z);let[N,I]=K?[Math.floor((V-F)/2),Math.floor((O-q)/2)]:[0,0];for(let R=0;R<q;++R){let w=(R+I)*V,E=R*F;for(let T=0;T<F;++T){let y=(w+T+N)*D,x=(E+T)*D;for(let b=0;b<D;++b)P[y+b]=Q[x+b]}}if(H==="symmetric"){if(K)throw Error("`center` padding is not supported when `mode` is set to `symmetric`.");let R=q-1,w=F-1;for(let E=0;E<O;++E){let T=E*V,y=zR(E,R)*F;for(let x=0;x<V;++x){if(E<q&&x<F)continue;let b=(T+x)*D,g=(y+zR(x,w))*D;for(let l=0;l<D;++l)P[b+l]=Q[g+l]}}}Q=P,J=[O,V,D]}return[Q,J]}rescale(Q){for(let J=0;J<Q.length;++J)Q[J]=this.rescale_factor*Q[J]}get_resize_output_image_size(Q,J){let[G,H]=Q.size,K,z;if(this.do_thumbnail){let{height:q,width:F}=J;K=Math.min(q,F)}else if(Number.isInteger(J))K=J,z=this.config.max_size??K;else if(J!==void 0)K=J.shortest_edge,z=J.longest_edge;if(K!==void 0||z!==void 0){let q=K===void 0?1:Math.max(K/G,K/H),F=G*q,D=H*q,V=z===void 0?1:Math.min(z/F,z/D),O=Math.floor(Number((F*V).toFixed(2))),P=Math.floor(Number((D*V).toFixed(2)));if(this.size_divisibility!==void 0)[O,P]=MI0([O,P],this.size_divisibility);return[O,P]}else if(J!==void 0&&J.width!==void 0&&J.height!==void 0){let{width:q,height:F}=J;if(this.config.keep_aspect_ratio&&this.config.ensure_multiple_of){let D=F/H,V=q/G;if(Math.abs(1-V)<Math.abs(1-D))D=V;else V=D;F=DI0(D*H,this.config.ensure_multiple_of),q=DI0(V*G,this.config.ensure_multiple_of)}return[q,F]}else if(this.size_divisibility!==void 0)return MI0([G,H],this.size_divisibility);else throw Error(`Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(J)}`)}async resize(Q){let[J,G]=this.get_resize_output_image_size(Q,this.size);return await Q.resize(J,G,{resample:this.resample})}async preprocess(Q,{do_normalize:J=null,do_pad:G=null,do_convert_rgb:H=null,do_convert_grayscale:K=null,do_flip_channel_order:z=null}={}){if(this.do_crop_margin)Q=await this.crop_margin(Q);let[q,F]=Q.size;if(H??this.do_convert_rgb)Q=Q.rgb();else if(K)Q=Q.grayscale();if(this.do_resize)Q=await this.resize(Q);if(this.do_thumbnail)Q=await this.thumbnail(Q,this.size,this.resample);if(this.do_center_crop){let N,I;if(Number.isInteger(this.crop_size))N=this.crop_size,I=this.crop_size;else N=this.crop_size.width,I=this.crop_size.height;Q=await Q.center_crop(N,I)}let D=[Q.height,Q.width],V=Float32Array.from(Q.data),O=[Q.height,Q.width,Q.channels];if(this.do_rescale)this.rescale(V);if(J??this.do_normalize){let N=this.image_mean;if(!Array.isArray(this.image_mean))N=Array(Q.channels).fill(N);let I=this.image_std;if(!Array.isArray(this.image_std))I=Array(Q.channels).fill(I);if(N.length!==Q.channels||I.length!==Q.channels)throw Error(`When set to arrays, the length of \`image_mean\` (${N.length}) and \`image_std\` (${I.length}) must match the number of channels in the image (${Q.channels}).`);for(let R=0;R<V.length;R+=Q.channels)for(let w=0;w<Q.channels;++w)V[R+w]=(V[R+w]-N[w])/I[w]}if(G??this.do_pad){if(this.pad_size)[V,O]=this.pad_image(V,[Q.height,Q.width,Q.channels],this.pad_size);else if(this.size_divisibility){let N=Math.ceil(O[1]/this.size_divisibility)*this.size_divisibility,I=Math.ceil(O[0]/this.size_divisibility)*this.size_divisibility;[V,O]=this.pad_image(V,O,{width:N,height:I})}}if(z??this.do_flip_channel_order){if(O[2]!==3)throw Error("Flipping channel order is only supported for RGB images.");for(let N=0;N<V.length;N+=3){let I=V[N];V[N]=V[N+2],V[N+2]=I}}let P=new PQ("float32",V,O).permute(2,0,1);return{original_size:[F,q],reshaped_input_size:D,pixel_values:P}}async _call(Q,...J){if(!Array.isArray(Q))Q=[Q];let G=await Promise.all(Q.map((K)=>this.preprocess(K)));return{pixel_values:g5(G.map((K)=>K.pixel_values),0),original_sizes:G.map((K)=>K.original_size),reshaped_input_sizes:G.map((K)=>K.reshaped_input_size)}}static async from_pretrained(Q,J={}){let G=await bW(Q,hF,!0,J);return new this(G)}},PR={};IV(PR,{BeitFeatureExtractor:()=>aUQ,BitImageProcessor:()=>sUQ,CHMv2ImageProcessor:()=>tUQ,CLIPFeatureExtractor:()=>eUQ,CLIPImageProcessor:()=>kw0,ChineseCLIPFeatureExtractor:()=>rUQ,ConvNextFeatureExtractor:()=>Q$Q,ConvNextImageProcessor:()=>yw0,DINOv3ViTImageProcessor:()=>Y$Q,DPTFeatureExtractor:()=>W$Q,DPTImageProcessor:()=>bw0,DeiTFeatureExtractor:()=>X$Q,DeiTImageProcessor:()=>vw0,DetrFeatureExtractor:()=>J$Q,DetrImageProcessor:()=>xw0,DonutFeatureExtractor:()=>G$Q,DonutImageProcessor:()=>t90,EfficientNetImageProcessor:()=>H$Q,GLPNFeatureExtractor:()=>V$Q,Gemma3ImageProcessor:()=>B$Q,Gemma4ImageProcessor:()=>gw0,Glm46VImageProcessor:()=>z$Q,GroundingDinoImageProcessor:()=>q$Q,Idefics3ImageProcessor:()=>LI0,ImageFeatureExtractor:()=>p8,ImageProcessor:()=>p8,JinaCLIPImageProcessor:()=>$$Q,Lfm2VlImageProcessor:()=>L$Q,LlavaOnevisionImageProcessor:()=>O$Q,Mask2FormerImageProcessor:()=>N$Q,MaskFormerFeatureExtractor:()=>P$Q,MaskFormerImageProcessor:()=>e90,MobileNetV1FeatureExtractor:()=>j$Q,MobileNetV1ImageProcessor:()=>_w0,MobileNetV2FeatureExtractor:()=>C$Q,MobileNetV2ImageProcessor:()=>fw0,MobileNetV3FeatureExtractor:()=>I$Q,MobileNetV3ImageProcessor:()=>mw0,MobileNetV4FeatureExtractor:()=>R$Q,MobileNetV4ImageProcessor:()=>uw0,MobileViTFeatureExtractor:()=>w$Q,MobileViTImageProcessor:()=>pw0,NougatImageProcessor:()=>E$Q,OwlViTFeatureExtractor:()=>S$Q,OwlViTImageProcessor:()=>Q10,Owlv2ImageProcessor:()=>T$Q,Phi3VImageProcessor:()=>y$Q,PixtralImageProcessor:()=>v$Q,PvtImageProcessor:()=>x$Q,Qwen2VLImageProcessor:()=>hw0,RTDetrImageProcessor:()=>b$Q,Sam2ImageProcessor:()=>t60,Sam3ImageProcessor:()=>t60,SamImageProcessor:()=>t60,SapiensFeatureExtractor:()=>g$Q,SapiensImageProcessor:()=>lw0,SegformerFeatureExtractor:()=>h$Q,SegformerImageProcessor:()=>dw0,SiglipImageProcessor:()=>_$Q,SmolVLMImageProcessor:()=>LI0,Swin2SRImageProcessor:()=>f$Q,VLMImageProcessor:()=>U$Q,ViTFeatureExtractor:()=>m$Q,ViTImageProcessor:()=>cw0,VitMatteImageProcessor:()=>u$Q,VitPoseImageProcessor:()=>p$Q,YolosFeatureExtractor:()=>l$Q,YolosImageProcessor:()=>iw0});var aUQ=class extends p8{},sUQ=class extends p8{},rUQ=class extends p8{},tUQ=class extends p8{},kw0=class extends p8{},eUQ=class extends kw0{},yw0=class extends p8{constructor(Q){super(Q);this.crop_pct=this.config.crop_pct??0.875}async resize(Q){let J=this.size?.shortest_edge;if(J===void 0)throw Error("Size dictionary must contain 'shortest_edge' key.");if(J<384){let G=Math.floor(J/this.crop_pct),[H,K]=this.get_resize_output_image_size(Q,{shortest_edge:G});Q=await Q.resize(H,K,{resample:this.resample}),Q=await Q.center_crop(J,J)}else Q=await Q.resize(J,J,{resample:this.resample});return Q}},Q$Q=class extends yw0{},vw0=class extends p8{},X$Q=class extends vw0{},xw0=class extends p8{async _call(Q){let J=await super._call(Q),G=[J.pixel_values.dims[0],64,64],H=sX(G,1n);return{...J,pixel_mask:H}}post_process_object_detection(...Q){return TR(...Q)}post_process_panoptic_segmentation(...Q){return Sw0(...Q)}post_process_instance_segmentation(...Q){return Tw0(...Q)}},J$Q=class extends xw0{},Y$Q=class extends p8{},t90=class extends p8{pad_image(Q,J,G,H={}){let[K,z,q]=J,F=this.image_mean;if(!Array.isArray(this.image_mean))F=Array(q).fill(F);let D=this.image_std;if(!Array.isArray(D))D=Array(q).fill(F);let V=F.map((O,P)=>-O/D[P]);return super.pad_image(Q,J,G,{center:!0,constant_values:V,...H})}},G$Q=class extends t90{},bw0=class extends p8{},W$Q=class extends bw0{},H$Q=class extends p8{constructor(Q){super(Q);if(this.include_top=this.config.include_top??!0,this.include_top)this.image_std=this.image_std.map((J)=>J*J)}},B$Q=class extends p8{};function A$Q(Q,J,G,H,K){let z=H*G**2,q=Math.sqrt(z/(Q*J)),F=K*G,D=Math.floor(q*Q/F)*F,V=Math.floor(q*J/F)*F;if(D===0&&V===0)throw Error(`Attempting to resize to a 0 x 0 image. Resized height should be divisible by \`pooling_kernel_size * patch_size\`=${F}.`);let O=Math.floor(H/K**2)*F;if(D===0)D=F,V=Math.min(Math.floor(J/Q)*F,O);else if(V===0)V=F,D=Math.min(Math.floor(Q/J)*F,O);return[D,V]}function K$Q(Q,J,G,H,K,z,q){let F=Math.floor(J/K),D=Math.floor(G/K),V=F*D,O=K*K*H,P=new Float32Array(z*O),N=0;for(let w=0;w<F;++w)for(let E=0;E<D;++E)for(let T=0;T<K;++T){let y=(w*K+T)*G*H+E*K*H;for(let x=0;x<K;++x){let b=y+x*H;for(let g=0;g<H;++g)P[N++]=Q[b+g]}}let I=new BigInt64Array(z*2).fill(-1n),R=0;for(let w=0;w<F;++w)for(let E=0;E<D;++E)I[R++]=BigInt(E),I[R++]=BigInt(w);return{patches:new PQ("float32",P,[z,O]),positions:new PQ("int64",I,[z,2]),num_soft_tokens:Math.floor(V/q**2)}}var gw0=class extends nJ{constructor(Q){super();this.config=Q,this.patch_size=Q.patch_size??16,this.max_soft_tokens=Q.max_soft_tokens??280,this.pooling_kernel_size=Q.pooling_kernel_size??3,this.resample=Q.resample??3,this.rescale_factor=Q.rescale_factor??0.00392156862745098,this.do_rescale=Q.do_rescale??!0,this.do_resize=Q.do_resize??!0,this.do_convert_rgb=Q.do_convert_rgb??!0}async _call(Q){if(!Array.isArray(Q))Q=[Q];let{patch_size:J,pooling_kernel_size:G}=this,H=this.max_soft_tokens*G**2,K=[],z=[],q=[];for(let F of Q){if(this.do_convert_rgb)F=F.rgb();if(this.do_resize){let[N,I]=A$Q(F.height,F.width,J,H,G);if(N!==F.height||I!==F.width)F=await F.resize(I,N,{resample:this.resample})}let D=Float32Array.from(F.data);if(this.do_rescale)for(let N=0;N<D.length;++N)D[N]*=this.rescale_factor;let{patches:V,positions:O,num_soft_tokens:P}=K$Q(D,F.height,F.width,F.channels,J,H,G);K.push(V),z.push(O),q.push(P)}return{pixel_values:g5(K,0),image_position_ids:g5(z,0),num_soft_tokens_per_image:q}}},hw0=class extends p8{constructor(Q){super(Q);this.min_pixels=Q.min_pixels??Q.size?.shortest_edge,this.max_pixels=Q.max_pixels??Q.size?.longest_edge,this.patch_size=Q.patch_size,this.merge_size=Q.merge_size}get_resize_output_image_size(Q,J){let G=this.patch_size*this.merge_size;return r90(Q.height,Q.width,G,this.min_pixels,this.max_pixels)}async _call(Q,...J){let{pixel_values:G,original_sizes:H,reshaped_input_sizes:K}=await super._call(Q,...J),z=G,{temporal_patch_size:q,merge_size:F,patch_size:D}=this.config;if(z.dims[0]===1)z=T9(Array.from({length:q},()=>z),0);let V=z.dims[0]/q,O=z.dims[1],P=Math.floor(z.dims[2]/D),N=Math.floor(z.dims[3]/D),I=z.view(V,q,O,Math.floor(P/F),F,D,Math.floor(N/F),F,D).permute(0,3,6,4,7,2,1,5,8).view(V*P*N,O*q*D*D),R=new PQ("int64",[V,P,N],[1,3]);return{pixel_values:I,image_grid_thw:R,original_sizes:H,reshaped_input_sizes:K}}},z$Q=class extends hw0{get_resize_output_image_size(Q,J){let G=this.patch_size*this.merge_size,H=this.config.temporal_patch_size??2;return r90(Q.height,Q.width,G,this.min_pixels,this.max_pixels,H)}},V$Q=class extends p8{},q$Q=class extends p8{async _call(Q){let J=await super._call(Q),G=J.pixel_values.dims,H=oJ([G[0],G[2],G[3]]);return{...J,pixel_mask:H}}},LI0=class extends p8{constructor(Q){super(Q);this.do_image_splitting=Q.do_image_splitting??!0,this.max_image_size=Q.max_image_size}get_resize_for_vision_encoder(Q,J){let[G,H]=Q.dims.slice(-2),K=H/G;if(H>=G)H=Math.ceil(H/J)*J,G=Math.floor(H/K),G=Math.ceil(G/J)*J;else G=Math.ceil(G/J)*J,H=Math.floor(G*K),H=Math.ceil(H/J)*J;return{height:G,width:H}}async _call(Q,{do_image_splitting:J=null,return_row_col_info:G=!1}={}){let H;if(!Array.isArray(Q))H=[[Q]];else{if(Q.length===0||!Q[0])throw Error("No images provided.");if(!Array.isArray(Q[0]))H=[Q];else H=Q}let K=[],z=[],q=[],F=[],D=[];for(let E of H){let T=await Promise.all(E.map((b)=>this.preprocess(b)));F.push(...T.map((b)=>b.original_size)),D.push(...T.map((b)=>b.reshaped_input_size)),T.forEach((b)=>b.pixel_values.unsqueeze_(0));let{longest_edge:y}=this.max_image_size,x;if(J??this.do_image_splitting){let b=Array(T.length),g=Array(T.length);x=await Promise.all(T.map(async(l,_)=>{let a=this.get_resize_for_vision_encoder(l.pixel_values,y),r=await bG(l.pixel_values,{size:[a.height,a.width]}),{frames:f0,num_splits_h:t,num_splits_w:p0}=await this.split_image(r,this.max_image_size);return b[_]=t,g[_]=p0,T9(f0,0)})),z.push(b),q.push(g)}else{let b=[y,y];x=await Promise.all(T.map((g)=>bG(g.pixel_values,{size:b}))),z.push(Array(T.length).fill(0)),q.push(Array(T.length).fill(0))}K.push(T9(x,0))}let V=K.length,[O,P,N,I]=K[0].dims,R,w;if(V===1)R=K[0].unsqueeze_(0),w=sX([V,O,N,I],!0);else{let E=Math.max(...K.map((x)=>x.dims.at(0)));w=sX([V,E,N,I],!0);let T=w.data,y=E*N*I;for(let x=0;x<V;++x){let b=K[x].dims[0];if(b<E){K[x]=T9([K[x],sX([E-b,P,N,I],0)],0);let g=x*y+b*N*I,l=(x+1)*y;T.fill(!1,g,l)}}R=g5(K,0)}return{pixel_values:R,pixel_attention_mask:w,original_sizes:F,reshaped_input_sizes:D,...G?{rows:z,cols:q}:{}}}async split_image(Q,{longest_edge:J}){let G=J,H=J,K=[],[z,q]=Q.dims.slice(-2),F=0,D=0;if(z>G||q>H){F=Math.ceil(z/G),D=Math.ceil(q/H);let V=Math.ceil(z/F),O=Math.ceil(q/D);for(let I=0;I<F;++I)for(let R=0;R<D;++R){let w,E,T,y;if(I===F-1)E=z-V,y=z;else E=I*V,y=(I+1)*V;if(R===D-1)w=q-O,T=q;else w=R*O,T=(R+1)*O;let g=await Yw0(Q,[E,w],[y,T],[2,3]);K.push(g)}let P=G,N=H;if(z!==P||q!==N)Q=await bG(Q,{size:[P,N]})}return K.push(Q),{frames:K,num_splits_h:F,num_splits_w:D}}},U$Q=class extends p8{constructor(Q){super({do_pad:!0,pad_size:{width:Q.image_size,height:Q.image_size},...Q});this.constant_values=this.config.background_color.map((J)=>J*this.rescale_factor)}pad_image(Q,J,G,H){return super.pad_image(Q,J,G,{constant_values:this.constant_values,center:!0,...H})}},$$Q=class extends p8{constructor(Q){let{resize_mode:J,fill_color:G,interpolation:H,size:K,...z}=Q,q=J==="squash"?{width:K,height:K}:J==="shortest"?{shortest_edge:K}:{longest_edge:K},F=H==="bicubic"?3:2;super({...z,size:q,resample:F,do_center_crop:!0,crop_size:K,do_normalize:!0})}};function OI0(Q,J){return Math.round(Q/J)*J}function Z$Q(Q,J,G,H,K){let z=1/0,q=[1,1],F=G*H;for(let D of J){let V=Math.abs(Q-D[0]/D[1]);if(V<z)z=V,q=D;else if(V===z&&F>0.5*K*K*D[0]*D[1])q=D}return q}function F$Q(Q,J){let G=[],H=new Set;for(let K=Q;K<=J;++K)for(let z=1;z<=K;++z)for(let q=1;q<=K;++q){let F=z*q;if(F>=Q&&F<=J){let D=z<<16|q;if(!H.has(D))H.add(D),G.push([z,q])}}return G.sort((K,z)=>K[0]*K[1]-z[0]*z[1])}function D$Q(Q,J){let[G,H,K,z]=Q.dims,q=Math.floor(K/J),F=Math.floor(z/J),D=J*J*H,V=Q.data,O=new Float32Array(G*q*F*D),P=K*z;for(let N=0;N<G;++N){let I=N*H*P,R=N*q*F*D;for(let w=0;w<q;++w)for(let E=0;E<F;++E){let T=R+(w*F+E)*D;for(let y=0;y<J;++y){let x=(w*J+y)*z+E*J;for(let b=0;b<J;++b){let g=x+b;for(let l=0;l<H;++l)O[T++]=V[I+l*P+g]}}}}return new PQ("float32",O,[G,q*F,D])}function M$Q(Q,J){let[,G,H]=Q.dims,K=new BigInt64Array(J);K.fill(1n,0,G);let z=Q;if(G<J){let q=new Float32Array(J*H);q.set(Q.data),z=new PQ("float32",q,[1,J,H])}return{padded:z,mask:new PQ("int64",K,[J])}}var L$Q=class extends p8{constructor(Q){super(Q);this.downsample_factor=Q.downsample_factor??2,this.do_image_splitting=Q.do_image_splitting??!0,this.min_tiles=Q.min_tiles??2,this.max_tiles=Q.max_tiles??10,this.use_thumbnail=Q.use_thumbnail??!0,this.min_image_tokens=Q.min_image_tokens??64,this.max_image_tokens=Q.max_image_tokens??256,this.encoder_patch_size=Q.encoder_patch_size??Q.patch_size??16,this.tile_size=Q.tile_size??512,this.max_pixels_tolerance=Q.max_pixels_tolerance??2,this.return_row_col_info=Q.return_row_col_info??!1;let J=this.max_image_tokens*this.downsample_factor**2,G=this.do_image_splitting?(this.tile_size/this.encoder_patch_size)**2:0;this.max_num_patches=Math.max(J,G)}_is_image_too_large(Q,J){let G=this.encoder_patch_size*this.downsample_factor,H=Math.max(this.encoder_patch_size,OI0(Q,G)),K=Math.max(this.encoder_patch_size,OI0(J,G));return H*K>this.max_image_tokens*(this.encoder_patch_size*this.downsample_factor)**2*this.max_pixels_tolerance}_get_grid_layout(Q,J){let G=F$Q(this.min_tiles,this.max_tiles),[H,K]=Z$Q(J/Q,G,J,Q,this.tile_size);return{grid_width:H,grid_height:K,target_width:this.tile_size*H,target_height:this.tile_size*K}}async _call(Q,{return_row_col_info:J=null}={}){let G;if(!Array.isArray(Q))G=[[Q]];else if(!Array.isArray(Q[0]))G=[Q];else G=Q;let H=[],K=[],z=[],q=[],F=[],D=[];for(let O of G){let P=await Promise.all(O.map((N)=>this.preprocess(N,{do_pad:!1})));for(let{pixel_values:N}of P){let[,I,R]=N.dims,w=N.unsqueeze_(0),E=this.encoder_patch_size*this.downsample_factor,T=E**2,[y,x]=r90(Math.max(E,I),Math.max(E,R),E,this.min_image_tokens*T,this.max_image_tokens*T).map((r)=>Math.max(E,r)),b,g=1,l=1,_=this._is_image_too_large(I,R),a=this.do_image_splitting&&!(this.min_tiles===1&&this.max_tiles===1);if(_&&a){let{grid_width:r,grid_height:f0,target_width:t,target_height:p0}=this._get_grid_layout(I,R);g=f0,l=r;let u0=await bG(w,{size:[p0,t]});b=[];for(let d=0;d<f0;++d)for(let n=0;n<r;++n){let c0=d*this.tile_size,WQ=n*this.tile_size;b.push(u0.slice(null,null,[c0,c0+this.tile_size],[WQ,WQ+this.tile_size]))}if(this.use_thumbnail&&r*f0!==1)b.push(await bG(w,{size:[x,y]}))}else b=[await bG(w,{size:[x,y]})];for(let r of b){let[,,f0,t]=r.dims,p0=D$Q(r,this.encoder_patch_size),{padded:u0,mask:d}=M$Q(p0,this.max_num_patches);H.push(u0),K.push(d),z.push([Math.floor(f0/this.encoder_patch_size),Math.floor(t/this.encoder_patch_size)])}q.push(g),F.push(l),D.push([x,y])}}let V={pixel_values:T9(H,0),pixel_attention_mask:g5(K,0),spatial_shapes:new PQ("int64",BigInt64Array.from(z.flat(),BigInt),[z.length,2])};if(J??this.return_row_col_info)V.image_rows=q,V.image_cols=F,V.image_sizes=D;return V}},O$Q=class extends p8{},e90=class extends p8{post_process_panoptic_segmentation(...Q){return Sw0(...Q)}post_process_instance_segmentation(...Q){return Tw0(...Q)}},P$Q=class extends e90{},N$Q=class extends e90{},_w0=class extends p8{},j$Q=class extends _w0{},fw0=class extends p8{},C$Q=class extends fw0{},mw0=class extends p8{},I$Q=class extends mw0{},uw0=class extends p8{},R$Q=class extends uw0{},pw0=class extends p8{},w$Q=class extends pw0{},E$Q=class extends t90{},Q10=class extends p8{post_process_object_detection(...Q){return TR(...Q)}},S$Q=class extends Q10{},T$Q=class extends Q10{},$Y=336,k$Q=[2,3],{ceil:s60,floor:UV,sqrt:r60}=Math,y$Q=class extends p8{constructor(Q){super({...Q,do_normalize:!0,do_pad:!0,pad_size:"custom",do_convert_rgb:!0,do_resize:!0});this._num_crops=Q.num_crops}calc_num_image_tokens_from_image_size(Q,J){let{num_img_tokens:G}=this.config;return UV((UV(J/$Y)*UV(Q/$Y)+1)*G+1+(UV(J/$Y)+1)*r60(G))}get_resize_output_image_size(Q,J){let G=this._num_crops,[H,K]=Q.size,z=H/K,q=1;while(q*Math.ceil(q/z)<=G)q+=1;q-=1;let F=Math.floor(q*336),D=Math.floor(F/z);return[F,D]}pad_image(Q,J,G,H={}){let[K,z]=J,q=$Y*s60(K/$Y),F=$Y*s60(z/$Y),D=[1,1,1].map((V,O)=>(V-this.image_mean[O])/this.image_std[O]);return super.pad_image(Q,J,{width:F,height:q},{center:!0,constant_values:D,...H})}async _call(Q,{num_crops:J=null}={}){if(this._num_crops=J??=this.config.num_crops,J<4||r60(J)%1!==0)throw Error("num_crops must be a square number >= 4");if(!Array.isArray(Q))Q=[Q];let G=Q.length,H=await Promise.all(Q.map((P)=>this.preprocess(P))),K=H.map((P)=>P.original_size),z=H.map((P)=>P.reshaped_input_size),q=[];for(let{pixel_values:P}of H){P.unsqueeze_(0);let[N,I]=P.dims.slice(-2),R=await bG(P,{size:[$Y,$Y],mode:"bicubic"});if(J>0){let w=[],E=r60(J),T=UV(I/E),y=UV(N/E);for(let b=0;b<E;++b)for(let g=0;g<E;++g){let l,_,a,r;if(b===E-1)_=N-y,r=N;else _=b*y,r=(b+1)*y;if(g===E-1)l=I-T,a=I;else l=g*T,a=(g+1)*T;let p0=await Yw0(P,[_,l],[r,a],k$Q);w.push(p0)}let x=await bG(T9(w,0),{size:[$Y,$Y],mode:"bicubic"});q.push(T9([R,x],0))}else q.push(R)}let F=g5(q,0),D=z.map((P)=>P.map((N)=>$Y*s60(N/$Y))),V=new PQ("int64",D.flat(),[G,2]),O=D.map(([P,N])=>this.calc_num_image_tokens_from_image_size(N,P));return{pixel_values:F,original_sizes:K,reshaped_input_sizes:z,image_sizes:V,num_img_tokens:O}}},v$Q=class extends p8{get_resize_output_image_size(Q,J){let{longest_edge:G}=J;if(G===void 0)throw Error("size must contain 'longest_edge'");let[H,K]=Q.size,z=Math.max(H,K)/G,q=H,F=K;if(z>1)q=Math.floor(H/z),F=Math.floor(K/z);let{patch_size:D,spatial_merge_size:V}=this.config;if(!V)throw Error("config must contain 'spatial_merge_size'");let O=D*V,P=Math.floor((q-1)/O)+1,N=Math.floor((F-1)/O)+1;return[P*O,N*O]}},x$Q=class extends p8{},b$Q=class extends p8{post_process_object_detection(...Q){return TR(...Q)}},t60=class extends p8{reshape_input_points(Q,J,G,H=!1){Q=structuredClone(Q);let K=zC0(Q);if(K.length===3){if(!H)K=[1,...K];Q=[Q]}else if(K.length!==4)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");for(let z=0;z<Q.length;++z){let[q,F]=J[z],[D,V]=G[z],O=[V/F,D/q];for(let P=0;P<Q[z].length;++P)for(let N=0;N<Q[z][P].length;++N)for(let I=0;I<Q[z][P][N].length;++I)Q[z][P][N][I]*=O[I%2]}return new PQ("float32",Float32Array.from(Q.flat(1/0)),K)}add_input_labels(Q,J){let G=zC0(Q);if(G.length===2)G=[1,...G],Q=[Q];else if(G.length!==3)throw Error("The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.");if(G.some((H,K)=>H!==J.dims[K]))throw Error(`The first ${G.length} dimensions of 'input_points' and 'input_labels' must be the same.`);return new PQ("int64",Q.flat(1/0).map(BigInt),G)}async _call(Q,{input_points:J=null,input_labels:G=null,input_boxes:H=null}={}){let K=await super._call(Q);if(J)K.input_points=this.reshape_input_points(J,K.original_sizes,K.reshaped_input_sizes);if(G){if(!K.input_points)throw Error("`input_points` must be provided if `input_labels` are provided.");K.input_labels=this.add_input_labels(G,K.input_points)}if(H)K.input_boxes=this.reshape_input_points(H,K.original_sizes,K.reshaped_input_sizes,!0);return K}async post_process_masks(Q,J,G,{mask_threshold:H=0,binarize:K=!0,pad_size:z=null}={}){let q=[];z=z??this.pad_size??this.size;let F=[z.height,z.width];for(let D=0;D<J.length;++D){let V=J[D],O=G[D],P=await bG(Q[D],{mode:"bilinear",size:F});if(P=P.slice(null,null,[0,O[0]],[0,O[1]]),P=await bG(P,{mode:"bilinear",size:V}),K){let N=P.data,I=new Uint8Array(N.length);for(let R=0;R<N.length;++R)if(N[R]>H)I[R]=1;P=new PQ("bool",I,P.dims)}q.push(P)}return q}generate_crop_boxes(Q,J,{crop_n_layers:G=0,overlap_ratio:H=0.3413333333333333,points_per_crop:K=32,crop_n_points_downscale_factor:z=1}={}){}},lw0=class extends p8{post_process_semantic_segmentation(...Q){return Ew0(...Q)}},g$Q=class extends lw0{},dw0=class extends p8{post_process_semantic_segmentation(...Q){return Ew0(...Q)}},h$Q=class extends dw0{},_$Q=class extends p8{},f$Q=class extends p8{pad_image(Q,J,G,H={}){let[K,z,q]=J;return super.pad_image(Q,J,{width:z+(G-z%G)%G,height:K+(G-K%G)%G},{mode:"symmetric",center:!1,constant_values:-1,...H})}},cw0=class extends p8{},m$Q=class extends cw0{},u$Q=class extends p8{async _call(Q,J){if(!Array.isArray(Q))Q=[Q];if(!Array.isArray(J))J=[J];let G=await Promise.all(Q.map((z)=>this.preprocess(z))),H=await Promise.all(J.map((z)=>this.preprocess(z,{do_normalize:!1,do_convert_rgb:!1,do_convert_grayscale:!0})));return{pixel_values:g5(G.map((z,q)=>T9([z.pixel_values,H[q].pixel_values],0)),0),original_sizes:G.map((z)=>z.original_size),reshaped_input_sizes:G.map((z)=>z.reshaped_input_size)}}},p$Q=class extends p8{post_process_pose_estimation(Q,J,{threshold:G=null}={}){let H=Q.tolist(),[K,z,q,F]=Q.dims,D=[];for(let V=0;V<K;++V){let O=H[V],P=J[V],N=[];for(let I=0;I<P.length;++I){let R=P[I],w=[],E=[],T=[],y=R.at(-2)/F,x=R.at(-1)/q;for(let b=0;b<O.length;++b){let[g,l]=[0,0],_=0,a=-1/0,r=O[b];for(let t=0;t<r.length;++t){let p0=r[t];for(let u0=0;u0<p0.length;++u0){let d=p0[u0];_+=d,a=Math.max(a,d),g+=(u0+0.5)*d,l+=t*d}}if(G!=null&&a<G)continue;let f0=[y*g/_,x*l/_];w.push(f0),T.push(b),E.push(a)}N.push({bbox:R,scores:E,labels:T,keypoints:w})}D.push(N)}return D}},iw0=class extends p8{post_process_object_detection(...Q){return TR(...Q)}},l$Q=class extends iw0{},tX=class{static async from_pretrained(Q,J={}){let G=await bW(Q,hF,!0,J),H=G.image_processor_type??G.feature_extractor_type,K=PR[H?.replace(/Fast$/,"")];if(!K){if(H!==void 0)g8.warn(`Image processor type '${H}' not found, assuming base ImageProcessor. Please report this at ${SR}.`);K=p8}return new K(G)}},d$Q=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;constructor(Q,J,G){super(Q,J,G);let{tasks_answer_post_processing_type:H,task_prompts_without_inputs:K,task_prompts_with_input:z}=this.image_processor.config;this.tasks_answer_post_processing_type=new Map(Object.entries(H??{})),this.task_prompts_without_inputs=new Map(Object.entries(K??{})),this.task_prompts_with_input=new Map(Object.entries(z??{})),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=1000}construct_prompts(Q){if(typeof Q==="string")Q=[Q];let J=[];for(let G of Q)if(this.task_prompts_without_inputs.has(G))J.push(this.task_prompts_without_inputs.get(G));else{for(let[H,K]of this.task_prompts_with_input)if(G.includes(H)){J.push(K.replaceAll("{input}",G).replaceAll(H,""));break}if(J.length!==Q.length)J.push(G)}return J}post_process_generation(Q,J,G){let H=this.tasks_answer_post_processing_type.get(J)??"pure_text";Q=Q.replaceAll("<s>","").replaceAll("</s>","");let K;switch(H){case"pure_text":K=Q;break;case"description_with_bboxes":case"bboxes":case"phrase_grounding":case"ocr":let z=H==="ocr"?"quad_boxes":"bboxes",q=Q.matchAll(this.regexes[z]),F=[],D=[];for(let[V,O,...P]of q)F.push(O?O.trim():F.at(-1)??""),D.push(P.map((N,I)=>(Number(N)+0.5)/this.size_per_bin*G[I%2]));K={labels:F,[z]:D};break;default:throw Error(`Task "${J}" (of type "${H}") not yet implemented.`)}return{[J]:K}}async _call(Q,J=null,G={}){if(!Q&&!J)throw Error("Either text or images must be provided");let H=await this.image_processor(Q,G),K=J?this.tokenizer(this.construct_prompts(J),G):{};return{...H,...K}}},c$Q=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(Q,J,G){super(Q,J,G);this.image_seq_length=this.config.image_seq_length;let{boi_token:H,image_token:K,eoi_token:z}=this.tokenizer.config;this.boi_token=H,this.image_token=K,this.eoi_token=z;let q=K.repeat(this.image_seq_length);this.full_image_sequence=`

${H}${q}${z}

`}async _call(Q,J=null,G={}){if(typeof Q==="string")Q=[Q];let H;if(J)H=await this.image_processor(J,G),Q=Q.map((z)=>z.replaceAll(this.boi_token,this.full_image_sequence));return{...this.tokenizer(Q,G),...H}}},i$Q=class extends u6{static image_processor_class=tX;static feature_extractor_class=aY;static tokenizer_class=m6;static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(Q,J,G){super(Q,J,G);this.audio_seq_length=this.config.audio_seq_length,this.image_seq_length=this.config.image_seq_length;let{audio_token_id:H,boa_token:K,audio_token:z,eoa_token:q,image_token_id:F,boi_token:D,image_token:V,eoi_token:O}=this.tokenizer.config;this.audio_token_id=H,this.boa_token=K,this.audio_token=z;let P=z.repeat(this.audio_seq_length);this.full_audio_sequence=`

${K}${P}${q}

`,this.image_token_id=F,this.boi_token=D,this.image_token=V;let N=V.repeat(this.image_seq_length);this.full_image_sequence=`

${D}${N}${O}

`}async _call(Q,J=null,G=null,H={}){if(typeof Q==="string")Q=[Q];let K;if(G)K=await this.feature_extractor(G,H),Q=Q.map((F)=>F.replaceAll(this.audio_token,this.full_audio_sequence));let z;if(J)z=await this.image_processor(J,H),Q=Q.map((F)=>F.replaceAll(this.image_token,this.full_image_sequence));return{...this.tokenizer(Q,H),...z,...K}}},o$Q=class extends u6{static uses_processor_config=!0;static uses_chat_template_file=!0;constructor(Q,J,G){super(Q,J,G);this.audio_ms_per_token=this.config.audio_ms_per_token??40,this.audio_seq_length=this.config.audio_seq_length??750,this.image_seq_length=this.config.image_seq_length??280;let{audio_token:H,boa_token:K,eoa_token:z,image_token:q,boi_token:F,eoi_token:D}=this.tokenizer.config;this.audio_token=H,this.boa_token=K,this.eoa_token=z,this.image_token=q,this.boi_token=F,this.eoi_token=D}static async from_pretrained(Q,J={}){let[G,H,K]=await Promise.all([bW(Q,qw0,!0,J),m6.from_pretrained(Q,J),R90(Q,Uw0,!1,J)]),z={tokenizer:H};if(G.image_processor)z.image_processor=new gw0(G.image_processor);if(G.feature_extractor)z.feature_extractor=new Cw0(G.feature_extractor);return new this(G,z,K)}_compute_audio_num_tokens(Q,J){let G=Math.round(J*20/1000),H=Math.round(J*10/1000),K=Math.floor(G/2),z=Math.floor((Q+K-G-1)/H)+1;if(z<=0)return 0;for(let q=0;q<2;++q)z=Math.floor((z-1)/2)+1;return Math.min(z,this.audio_seq_length)}async _call(Q,J=null,G=null,H={}){if(typeof Q==="string")Q=[Q];let K;if(J){K=await this.image_processor(J,H);let q=K.num_soft_tokens_per_image,F=0;Q=Q.map((D)=>D.replaceAll(this.image_token,()=>`

${this.boi_token}${this.image_token.repeat(q[F++])}${this.eoi_token}

`))}let z;if(G){let q=Array.isArray(G)?G:[G];z=await this.feature_extractor(q[0],H);let F=this.feature_extractor.config.sampling_rate??16000,D=0;Q=Q.map((V)=>V.replaceAll(this.audio_token,()=>`

${this.boa_token}${this.audio_token.repeat(this._compute_audio_num_tokens(q[D++].length,F))}${this.eoa_token}

`))}return{...this.tokenizer(Q,H),...K,...z}}},X10=class extends u6{static image_processor_class=tX;static tokenizer_class=m6;static image_token="<|image_pad|>";async _call(Q,J=null,...G){if(!Array.isArray(Q))Q=[Q];let H,K;if(J)H=await this.image_processor(J),K=H.image_grid_thw;if(K){let q=this.image_processor.config.merge_size**2,F=0,D=this.constructor.image_token,V=K.tolist();Q=Q.map((O)=>{while(O.includes(D)){let P=Number(V[F++].reduce((N,I)=>N*I,1n));O=O.replace(D,"<|placeholder|>".repeat(Math.floor(P/q)))}return O.replaceAll("<|placeholder|>",D)})}return{...this.tokenizer(Q),...H}}},n$Q=class extends X10{static image_token="<|image|>"},a$Q=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;static uses_processor_config=!0;_get_num_audio_features(Q){let{hop_length:J}=this.feature_extractor.config.melspec_kwargs,{projector_window_size:G,projector_downsample_rate:H}=this.feature_extractor.config,K=Math.floor(G/H),z=Math.floor(Q/J)+1,q=Math.floor(z/2);return Math.ceil(q/G)*K}async _call(Q,J=null,G={}){if(Array.isArray(Q))throw Error("Batched inputs are not supported yet.");let H={};if(J){let{input_features:z}=await this.feature_extractor(J);H.input_features=z;let q=this._get_num_audio_features(J.length),F=new Uint8Array(q).fill(1);H.input_features_mask=new PQ("bool",F,[1,q]);let D=this.config.audio_token??"<|audio|>";if(!Q.includes(D))throw Error(`The input text does not contain the audio token ${D}.`);Q=Q.replaceAll(D,D.repeat(q))}return{...this.tokenizer(Q,{add_special_tokens:!1,...G}),...H}}};function s$Q(Q,J){let H=Q.dims.at(-1)-1,K=Q.tolist();K.fill(!1,0,1),K.fill(!1,H);let z=J.tolist();return K.map((q,F)=>q?F:null).filter((q)=>q!==null).map((q)=>z[q])}var r$Q=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;async _call(Q,J,G={}){let H=Q?await this.image_processor(Q,G):{};return{...J?this.tokenizer(J,G):{},...H}}post_process_grounded_object_detection(Q,J,{box_threshold:G=0.25,text_threshold:H=0.25,target_sizes:K=null}={}){let{logits:z,pred_boxes:q}=Q,F=z.dims[0];if(K!==null&&K.length!==F)throw Error("Make sure that you pass in as many target sizes as the batch dimension of the logits");let D=z.dims.at(1),V=z.sigmoid(),O=V.max(-1).tolist(),P=q.tolist().map((I)=>I.map((R)=>ww0(R))),N=[];for(let I=0;I<F;++I){let R=K!==null?K[I]:null;if(R!==null)P[I]=P[I].map((x)=>x.map((b,g)=>b*R[(g+1)%2]));let w=O[I],E=[],T=[],y=[];for(let x=0;x<D;++x){let b=w[x];if(b<=G)continue;let g=P[I][x],l=V[I][x];E.push(b),y.push(g);let _=s$Q(l.gt(H),J[I]);T.push(_)}N.push({scores:E,boxes:y,labels:this.batch_decode(T)})}return N}};function t$Q(Q,J,G,H,K,z){let q="";for(let F=0;F<J;++F){for(let D=0;D<G;++D)q+=H+`<row_${F+1}_col_${D+1}>`+K.repeat(Q);q+=`
`}return q+=`
${H}${z}`+K.repeat(Q)+`${H}`,q}function e$Q(Q,J,G,H){return`${J}${H}`+G.repeat(Q)+`${J}`}function QZQ(Q,J,G,H,K,z){if(Q===0&&J===0)return e$Q(G,H,K,z);return t$Q(G,Q,J,H,K,z)}var PI0=class extends u6{static image_processor_class=tX;static tokenizer_class=m6;static uses_processor_config=!0;fake_image_token="<fake_token_around_image>";image_token="<image>";global_img_token="<global-img>";async _call(Q,J=null,G={}){G.return_row_col_info??=!0;let H;if(J)H=await this.image_processor(J,G);if(!Array.isArray(Q))Q=[Q];let K=H.rows??[Array(Q.length).fill(0)],z=H.cols??[Array(Q.length).fill(0)],q=this.config.image_seq_len,F=[],D=[];for(let O=0;O<Q.length;++O){let P=Q[O],N=K[O],I=z[O];F.push(iBQ(P,this.image_token));let R=N.map((T,y)=>QZQ(T,I[y],q,this.fake_image_token,this.image_token,this.global_img_token)),w=P.split(this.image_token);if(w.length===0)throw Error("The image token should be present in the text.");let E=w[0];for(let T=0;T<R.length;++T)E+=R[T]+w[T+1];D.push(E)}return{...this.tokenizer(D),...H}}},XZQ=class extends u6{static image_processor_class=tX;static tokenizer_class=m6;static uses_processor_config=!0;constructor(Q,J,G){super(Q,J,G);this.image_tag=this.config.image_tag,this.image_start_tag=this.config.image_start_tag,this.image_end_tag=this.config.image_end_tag,this.num_image_tokens=this.config.num_image_tokens}async _call(Q,{images:J=null,chat_template:G="default"}={}){if(!J)J=await Promise.all(Q.filter((w)=>w.images).flatMap((w)=>w.images).map((w)=>gG.read(w)));else if(!Array.isArray(J))J=[J];let H=this.tokenizer,K=H.apply_chat_template(Q,{tokenize:!1,add_generation_prompt:!0,chat_template:G}),z=(w)=>H.encode(w,{add_special_tokens:!1}),q=K.split(this.image_tag),F=q.length-1;if(J.length!==F)throw Error(`Number of images provided (${J.length}) does not match number of "${this.image_tag}" image tags (${F})`);let[D,V,O]=H.convert_tokens_to_ids([this.image_tag,this.image_start_tag,this.image_end_tag]),P=z(q[0]),N=Array(P.length).fill(!1);for(let w=1;w<q.length;++w){let E=Array(this.num_image_tokens).fill(D),T=z(q[w]);P=yW(P,[V],E,[O],T);let y=Array(this.num_image_tokens).fill(!0);N=yW(N,[!1],y,[!1],Array(T.length).fill(!1))}let I=[1,P.length],R={input_ids:new PQ("int64",P,I),attention_mask:new PQ("int64",Array(P.length).fill(1),I),images_seq_mask:new PQ("bool",N,I),images_emb_mask:new PQ("bool",Array(F*this.num_image_tokens).fill(!0),[1,F,this.num_image_tokens])};if(J&&J.length>0){let w=await this.image_processor(J);return w.pixel_values.unsqueeze_(0),{...R,...w}}return R}},JZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;async _call(Q=null,J=null,G={}){if(!Q&&!J)throw Error("Either text or images must be provided");let H=Q?this.tokenizer(Q,G):{},K=J?await this.image_processor(J,G):{};return{...H,...K}}},YZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;async _call(Q,J=null,G={}){let{image_rows:H,image_cols:K,image_sizes:z,...q}=await this.image_processor(Q,{...G,return_row_col_info:!0});if(J){let F=this.config.image_token??"<image>",{tile_size:D=512,downsample_factor:V=2,encoder_patch_size:O=16,use_thumbnail:P=!0}=this.image_processor.config,N=(y)=>Math.ceil(Math.floor(y/O)/V),I=N(D)**2,R=this.config.image_start_token??"<|image_start|>",w=this.config.image_end_token??"<|image_end|>",E=this.config.image_thumbnail??"<|img_thumbnail|>";if(!Array.isArray(J))J=[J];let T=0;J=J.map((y)=>{let x=y.split(F);return x[0]+x.slice(1).map((b)=>{let g=T++,[l,_]=z[g],a=H[g],r=K[g],f0=N(l)*N(_),t=R;if(a>1||r>1){let p0=F.repeat(I);for(let u0=0;u0<a;++u0)for(let d=0;d<r;++d)t+=`<|img_row_${u0+1}_col_${d+1}|>`+p0;if(P)t+=E+F.repeat(f0)}else t+=F.repeat(f0);return t+w+b}).join("")})}return{...q,...J?this.tokenizer(J,G):{}}}},GZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;static uses_processor_config=!0;async _call(Q,J=null,G={}){let H=await this.image_processor(Q,G);if(J){let[z,q]=H.pixel_values.dims.slice(-2),{image_token:F,patch_size:D,num_additional_image_tokens:V}=this.config,O=Math.floor(z/D)*Math.floor(q/D)+V;if(J=structuredClone(J),!Array.isArray(J))J=[J];for(let P=0;P<J.length;++P)J[P]=J[P].replace(F,F.repeat(O))}let K=J?this.tokenizer(J,G):{};return{...H,...K}}},NI0={char:["char_decode",1],bpe:["bpe_decode",2],wp:["wp_decode",102]},WZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;get char_tokenizer(){return this.components.char_tokenizer}get bpe_tokenizer(){return this.components.bpe_tokenizer}get wp_tokenizer(){return this.components.wp_tokenizer}_decode_helper(Q,J){if(!NI0.hasOwnProperty(J))throw Error(`Format ${J} is not supported.`);let[G,H]=NI0[J],K=this[G].bind(this),[z,q]=Q.dims,F=[],D=[],V=Q.tolist();for(let P=0;P<z;++P){let N=V[P],I=[],R=[];for(let E=1;E<q;++E){let[T,y]=D7(wX(N[E]));if(R.push(T),y==H)break;I.push(y)}let w=R.length>0?R.reduce((E,T)=>E*T,1):0;D.push(I),F.push(w)}return[K(D),F]}char_decode(Q){return this.char_tokenizer.batch_decode(Q).map((J)=>J.replaceAll(" ",""))}bpe_decode(Q){return this.bpe_tokenizer.batch_decode(Q)}wp_decode(Q){return this.wp_tokenizer.batch_decode(Q).map((J)=>J.replaceAll(" ",""))}batch_decode([Q,J,G]){let[H,K]=this._decode_helper(Q,"char"),[z,q]=this._decode_helper(J,"bpe"),[F,D]=this._decode_helper(G,"wp"),V=[],O=[];for(let P=0;P<H.length;++P){let[N,I]=D7([K[P],q[P],D[P]]);V.push([H[P],z[P],F[P]][I]),O.push(N)}return{generated_text:V,scores:O,char_preds:H,bpe_preds:z,wp_preds:F}}static async from_pretrained(...Q){let J=await super.from_pretrained(...Q),G=await m6.from_pretrained("Xenova/gpt2"),H=await m6.from_pretrained("Xenova/bert-base-uncased");return J.components={image_processor:J.image_processor,char_tokenizer:J.tokenizer,bpe_tokenizer:G,wp_tokenizer:H},J}async _call(Q,J=null){let G=await this.image_processor(Q);if(J)G.labels=this.tokenizer(J).input_ids;return G}},HZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;async _call(Q){return await this.feature_extractor(Q)}},BZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX},$V="<image>";function AZQ(Q,J,G,H,K){return`${H.repeat(G*K)}${J}${Q}
`}var KZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;static uses_processor_config=!1;async _call(Q,J=null,G={}){if(!J)g8.warn("You are using PaliGemma without a text prefix. It will perform as a picture-captioning model."),J="";if(!Array.isArray(Q))Q=[Q];if(!Array.isArray(J))J=[J];let H=this.tokenizer.bos_token,K=this.image_processor.config.image_seq_length,z;if(J.some((D)=>D.includes($V)))z=J.map((D)=>{let V=D.replaceAll($V,$V.repeat(K)),O=V.lastIndexOf($V),P=O===-1?0:O+$V.length;return V.slice(0,P)+H+V.slice(P)+`
`});else g8.warn("You are passing both `text` and `images` to `PaliGemmaProcessor`. The processor expects special image tokens in the text, as many tokens as there are images per each text. It is recommended to add `<image>` tokens in the very beginning of your text. For this call, we will infer how many images each text has and add special tokens."),z=J.map((D)=>AZQ(D,H,K,$V,Q.length));let q=this.tokenizer(z,G);return{...await this.image_processor(Q,G),...q}}},jI0="<|image|>",zZQ=/<\|image_\d+\|>/g,VZQ=class extends u6{static image_processor_class=tX;static tokenizer_class=m6;async _call(Q,J=null,{padding:G=!0,truncation:H=!0,num_crops:K=null}={}){if(!Array.isArray(Q))Q=[Q];let z,q;if(J){q=await this.image_processor(J,{num_crops:K});let{num_img_tokens:F}=q,D=Q.map((O,P)=>O.split(zZQ).join(jI0.repeat(F[P])));z=this.tokenizer(D,{padding:G,truncation:H});let V=this.tokenizer._tokenizer.token_to_id(jI0);z.input_ids.map_((O)=>O==V?-O:O)}else z=this.tokenizer(Q);return{...z,...q}}},qZQ=class extends u6{static tokenizer_class=m6;static image_processor_class=tX;static uses_processor_config=!0;async _call(Q,J=null,G={}){let H=await this.image_processor(Q,G);if(J){let[z,q]=H.pixel_values.dims.slice(-2),{image_token:F,image_break_token:D,image_end_token:V,patch_size:O,spatial_merge_size:P}=this.config,N=O*P,I=Math.floor(z/N),R=Math.floor(q/N);if(J=structuredClone(J),!Array.isArray(J))J=[J];for(let w=0;w<J.length;++w){let E=F.repeat(R),T=E+D,y=E+V,x=T.repeat(I-1)+y;J[w]=J[w].replace(F,x)}}let K=J?this.tokenizer(J,G):{};return{...H,...K}}},UZQ=class extends u6{static feature_extractor_class=Iw0;async _call(Q){return await this.feature_extractor(Q)}post_process_speaker_diarization(...Q){return this.feature_extractor.post_process_speaker_diarization(...Q)}get sampling_rate(){return this.feature_extractor.config.sampling_rate}},ow0=class extends X10{},$ZQ=class extends ow0{},nw0=class extends u6{static image_processor_class=tX;async _call(...Q){return await this.image_processor(...Q)}post_process_masks(...Q){return this.image_processor.post_process_masks(...Q)}reshape_input_points(...Q){return this.image_processor.reshape_input_points(...Q)}},aw0=class extends nw0{},ZZQ=class extends aw0{},FZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;async _call(Q){return await this.feature_extractor(Q)}},DZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;static uses_processor_config=!0;async _call(Q,J=null,G={}){if(Array.isArray(Q))throw Error("Batched inputs are not supported yet.");let H={};if(J){let z=J.length,{input_features:q}=await this.feature_extractor(J,{...G,max_length:z}),F=Math.round(z/this.config.encoder_ds_factor+0.0001),D=1+Math.ceil(F/this.config.stack_factor);H.audio_token_len=[D],H.audio_values=q;let V=this.config.audio_placeholder;if(!Q.includes(V))throw Error(`The input text does not contain the image token ${V}.`);Q=Q.replaceAll(V,V.repeat(D))}return{...this.tokenizer(Q,{add_special_tokens:!1,...G}),...H}}},XR="[AUDIO]",MZQ="[BEGIN_AUDIO]",LZQ=375;function OZQ(Q,J){let G=[];for(let H=0;H<Q.length;H+=J)G.push(Q.subarray(H,Math.min(H+J,Q.length)));return G}var PZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;static uses_processor_config=!1;async _call(Q,J=null,G={}){if(Array.isArray(Q))throw Error("Batched inputs are not supported yet.");let H={};if(J){if(!Q.includes(XR))throw Error(`The input text does not contain the audio token ${XR}.`);if(!Array.isArray(J))J=[J];let z=Q.split(XR),q=z.length-1;if(q!==J.length)throw Error(`The number of audio inputs (${J.length}) does not match the number of audio tokens in the text (${q}).`);let F=this.feature_extractor.config.n_samples,D=J.map((I)=>OZQ(I,F)),V=D.map((I)=>I.length),O=D.flat(),P=(await Promise.all(O.map((I)=>this.feature_extractor(I,G)))).map((I)=>I.input_features);H.audio_values=P.length>1?T9(P,0):P[0];let N=z[0];for(let I=0;I<V.length;++I){N+=MZQ;for(let R=0;R<V[I];++R)N+=XR.repeat(LZQ);N+=z[I+1]}Q=N}return{...this.tokenizer(Q,{add_special_tokens:!1,...G}),...H}}},CI0=32,e60=6,JR=8,NZQ=10,jZQ=32,CZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;static uses_processor_config=!1;get num_mel_frames_first_audio_chunk(){return(e60+1)*JR}get num_samples_first_audio_chunk(){let{hop_length:Q,n_fft:J}=this.feature_extractor.config;return(this.num_mel_frames_first_audio_chunk-1)*Q+Math.floor(J/2)}get num_samples_per_audio_chunk(){let{hop_length:Q,n_fft:J}=this.feature_extractor.config;return JR*Q+J}get num_right_pad_tokens(){return e60+1+NZQ}get audio_length_per_tok(){return JR}get raw_audio_length_per_tok(){return JR*this.feature_extractor.config.hop_length}async _call(Q,{is_streaming:J=!1,is_first_audio_chunk:G=!0}={}){if(EX(Q,"VoxtralRealtimeProcessor"),!J&&!G)throw Error("In non-streaming mode (`is_streaming=false`), `is_first_audio_chunk` must be `true`.");if(G)if(J){let H=CI0*this.raw_audio_length_per_tok,K=new Float32Array(H+Q.length);K.set(Q,H);let z=await this.feature_extractor(K,{center:!0}),F=1+(CI0+e60),D=new BigInt64Array(F).fill(BigInt(jZQ));return D[0]=1n,{input_ids:new PQ("int64",D,[1,F]),...z}}else{let H=this.num_right_pad_tokens*this.raw_audio_length_per_tok,K=new Float32Array(Q.length+H);return K.set(Q),await this.feature_extractor(K,{center:!0})}else return await this.feature_extractor(Q,{center:!1})}},IZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;async _call(Q){return await this.feature_extractor(Q)}},RZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;async _call(Q){return await this.feature_extractor(Q)}},wZQ=class extends u6{static tokenizer_class=m6;static feature_extractor_class=aY;async _call(Q){return await this.feature_extractor(Q)}},EZQ=class{static async from_pretrained(Q,J={}){let G=await bW(Q,hF,!0,J),{image_processor_type:H,feature_extractor_type:K,processor_class:z}=G;if(z&&q90[z])return q90[z].from_pretrained(Q,J);if(!H&&!K)throw Error("No `image_processor_type` or `feature_extractor_type` found in the config.");let q={};if(H){let D=PR[H.replace(/Fast$/,"")];if(!D)throw Error(`Unknown image_processor_type: '${H}'.`);q.image_processor=new D(G)}if(K){let D=PR[K];if(D)q.image_processor=new D(G);else{let V=s90[K];if(!V)throw Error(`Unknown feature_extractor_type: '${K}'.`);q.feature_extractor=new V(G)}}return new u6({},q,null)}};async function SZQ(Q,J){return await bW(Q,"config.json",!0,J)}function DV(Q){let 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q=!0;for(let F=1;F<=z.length-1;++F)if(z.at(-F-1)!=K.at(-F)){q=!1;break}if(q)H[z.at(-1)]=-1/0}}return J}},oZQ=class extends mG{constructor(Q){super();if(Q<=1)throw Error(`Require guidance scale >1 to use the classifier free guidance processor, got guidance scale ${Q}.`);this.guidance_scale=Q}_call(Q,J){if(J.dims[0]!==2*Q.length)throw Error(`Logits should have twice the batch size of the input ids, the first half of batches corresponding to the conditional inputs, and the second half of batches corresponding to the unconditional inputs. 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Q20=class{max_length=20;max_new_tokens=null;min_length=0;min_new_tokens=null;early_stopping=!1;max_time=null;do_sample=!1;num_beams=1;num_beam_groups=1;penalty_alpha=null;use_cache=!0;temperature=1;top_k=50;top_p=1;typical_p=1;epsilon_cutoff=0;eta_cutoff=0;diversity_penalty=0;repetition_penalty=1;encoder_repetition_penalty=1;length_penalty=1;no_repeat_ngram_size=0;bad_words_ids=null;force_words_ids=null;renormalize_logits=!1;constraints=null;forced_bos_token_id=null;forced_eos_token_id=null;remove_invalid_values=!1;exponential_decay_length_penalty=null;suppress_tokens=null;streamer=null;begin_suppress_tokens=null;forced_decoder_ids=null;guidance_scale=null;num_return_sequences=1;output_attentions=!1;output_hidden_states=!1;output_scores=!1;return_dict_in_generate=!1;pad_token_id=null;bos_token_id=null;eos_token_id=null;encoder_no_repeat_ngram_size=0;decoder_start_token_id=null;generation_kwargs={};constructor(Q){Object.assign(this,JX(Q,Object.getOwnPropertyNames(this)))}},yR=class extends nJ{_call(Q,J){throw Error("StoppingCriteria needs to be subclassed")}},X20=class Q extends nJ{constructor(){super();this.criteria=[]}push(J){this.criteria.push(J)}extend(J){if(J instanceof Q)J=J.criteria;else if(J instanceof yR)J=[J];this.criteria.push(...J)}_call(J,G){let H=Array(J.length).fill(!1);for(let K of this.criteria){let z=K(J,G);for(let q=0;q<H.length;++q)H[q]||=z[q]}return H}[Symbol.iterator](){return this.criteria.values()}},aZQ=class extends yR{constructor(Q,J=null){super();this.max_length=Q,this.max_position_embeddings=J}_call(Q){return Q.map((J)=>J.length>=this.max_length)}},sZQ=class extends yR{constructor(Q){super();if(!Array.isArray(Q))Q=[Q];this.eos_token_id=Q}_call(Q,J){return Q.map((G)=>{let H=G.at(-1);return this.eos_token_id.some((K)=>H==K)})}};var vR=class extends nJ{constructor(Q){super();this.generation_config=Q}async _call(Q){return this.sample(Q)}async sample(Q){throw Error("sample should be implemented in subclasses.")}getLogits(Q,J){let G=Q.dims.at(-1),H=Q.data;if(J===-1)H=H.slice(-G);else{let K=J*G;H=H.slice(K,K+G)}return H}randomSelect(Q){return QVQ(Q)}static getSampler(Q){if(Q.do_sample)return new tZQ(Q);else if(Q.num_beams>1)return new eZQ(Q);else{if(Q.num_return_sequences>1)throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${Q.num_return_sequences}.`);return new rZQ(Q)}}},rZQ=class extends vR{async sample(Q){let J=D7(Q.data)[1];return[[BigInt(J),0]]}},tZQ=class extends vR{async sample(Q){let J=Q.dims.at(-1);if(this.generation_config.top_k>0)J=Math.min(this.generation_config.top_k,J);let[G,H]=await SV(Q,J),K=wX(G.data);return Array.from({length:this.generation_config.num_beams},()=>{let z=this.randomSelect(K);return[H.data[z],Math.log(K[z])]})}},eZQ=class extends vR{async sample(Q){let J=Q.dims.at(-1);if(this.generation_config.top_k>0)J=Math.min(this.generation_config.top_k,J);let[G,H]=await SV(Q,J),K=wX(G.data);return Array.from({length:this.generation_config.num_beams},(z,q)=>{return[H.data[q],Math.log(K[q])]})}},QFQ=class{constructor(Q){if(!Q)return;for(let J in Q){if(J in this)throw TypeError(`Key "${J}" conflicts with an existing property on DynamicCache`);let G=Q[J];if(!(G instanceof PQ))throw TypeError(`Expected a Tensor for key "${J}", got ${typeof G}`);this[J]=G}}get_seq_length(){let Q=this;if(Object.keys(Q).length===0)return 0;for(let J in Q)if(J.startsWith("past_key_values."))return Q[J].dims.at(-2);throw Error("Unable to determine sequence length from the cache.")}update(Q){for(let J in Q){let G=this[J],H=Q[J];if(G&&G!==H&&G.location==="gpu-buffer")G.dispose();this[J]=H}}async dispose(){let Q=[];for(let J of Object.values(this))if(J.location==="gpu-buffer")Q.push(J.dispose());await Promise.all(Q)}},J10=QFQ,RQ={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,DecoderOnlyWithoutHead:5,MaskGeneration:6,ImageTextToText:7,Musicgen:8,MultiModality:9,Phi3V:10,AudioTextToText:11,AutoEncoder:12,ImageAudioTextToText:13,Supertonic:14,Chatterbox:15,VoxtralRealtime:16},x5={[RQ.DecoderOnly]:{sessions:(Q,J)=>({model:J.model_file_name??"model"}),cache_sessions:{model:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.DecoderOnlyWithoutHead]:{sessions:(Q,J)=>({model:J.model_file_name??"model"})},[RQ.Seq2Seq]:{sessions:()=>({model:"encoder_model",decoder_model_merged:"decoder_model_merged"}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.Vision2Seq]:{sessions:()=>({model:"encoder_model",decoder_model_merged:"decoder_model_merged"}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.Musicgen]:{sessions:()=>({model:"text_encoder",decoder_model_merged:"decoder_model_merged",encodec_decode:"encodec_decode"}),cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.EncoderDecoder]:{sessions:()=>({model:"encoder_model",decoder_model_merged:"decoder_model_merged"}),cache_sessions:{decoder_model_merged:!0}},[RQ.MaskGeneration]:{sessions:()=>({model:"vision_encoder",prompt_encoder_mask_decoder:"prompt_encoder_mask_decoder"})},[RQ.ImageTextToText]:{text_only_sessions:{embed_tokens:"embed_tokens",decoder_model_merged:"decoder_model_merged"},sessions:(Q,J,G)=>{let H={...x5[RQ.ImageTextToText].text_only_sessions};if(!G)H.vision_encoder="vision_encoder";if(Q.is_encoder_decoder)H.model="encoder_model";return H},cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.AudioTextToText]:{text_only_sessions:{embed_tokens:"embed_tokens",decoder_model_merged:"decoder_model_merged"},sessions:(Q,J,G)=>{let H={...x5[RQ.AudioTextToText].text_only_sessions};if(!G)H.audio_encoder="audio_encoder";return H},cache_sessions:{decoder_model_merged:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.ImageAudioTextToText]:{text_only_sessions:{embed_tokens:"embed_tokens",decoder_model_merged:"decoder_model_merged"},sessions:(Q,J,G)=>{let H={...x5[RQ.ImageAudioTextToText].text_only_sessions};if(!G)H.audio_encoder="audio_encoder",H.vision_encoder="vision_encoder";return H},optional_configs:{generation_config:"generation_config.json"}},[RQ.Phi3V]:{sessions:()=>({prepare_inputs_embeds:"prepare_inputs_embeds",model:"model",vision_encoder:"vision_encoder"}),cache_sessions:{model:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.MultiModality]:{sessions:()=>({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"}),cache_sessions:{model:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.AutoEncoder]:{sessions:()=>({encoder_model:"encoder_model",decoder_model:"decoder_model"})},[RQ.Supertonic]:{sessions:()=>({text_encoder:"text_encoder",latent_denoiser:"latent_denoiser",voice_decoder:"voice_decoder"})},[RQ.Chatterbox]:{sessions:()=>({embed_tokens:"embed_tokens",speech_encoder:"speech_encoder",model:"language_model",conditional_decoder:"conditional_decoder"}),cache_sessions:{model:!0},optional_configs:{generation_config:"generation_config.json"}},[RQ.VoxtralRealtime]:{text_only_sessions:{embed_tokens:"embed_tokens",decoder_model_merged:"decoder_model_merged"},sessions:(Q,J,G)=>{let H={...x5[RQ.VoxtralRealtime].text_only_sessions};if(!G)H.audio_encoder="audio_encoder";return H},cache_sessions:{decoder_model_merged:!0,audio_encoder:!0},optional_configs:{generation_config:"generation_config.json"}},default:{sessions:(Q,J)=>({model:J.model_file_name??"model"})}};function XFQ(Q){return x5[Q]?.text_only_sessions??null}function JFQ(Q,J,G={}){let H=x5[Q]??x5.default;return{sessions:H.sessions(J,G,G.textOnly??!1),cache_sessions:H.cache_sessions,optional_configs:H.optional_configs}}function J20(Q,{warn:J=!0}={}){let G=Q.architectures||[];for(let H of G){let K=b5.get(H);if(K!==void 0)return K}if(Q.model_type){let H=b5.get(Q.model_type);if(H!==void 0)return H;for(let K of Object.values(MV))if(K.has(Q.model_type)){let z=b5.get(K.get(Q.model_type));if(z!==void 0)return z}}if(J){let H=G.length>0?G.join(", "):"(none)";g8.warn(`[resolve_model_type] Architecture(s) not found in MODEL_TYPE_MAPPING: [${H}] for model type '${Q.model_type}'. Falling back to EncoderOnly (single model.onnx file). If you encounter issues, please report at: ${SR}`)}return RQ.EncoderOnly}function Y20(Q,{config:J=null,cache_dir:G=null,local_files_only:H=!1,revision:K="main"}={}){if(J!==null)return _F.from_pretrained(Q,{config:J,cache_dir:G,local_files_only:H,revision:K});let z=JSON.stringify([Q,G,H,K]);return sI0(z,()=>_F.from_pretrained(Q,{config:J,cache_dir:G,local_files_only:H,revision:K}))}async function G20(Q,{config:J=null,dtype:G=null,device:H=null,model_file_name:K=null}={}){J=await Y20(Q,{config:J});let z=["config.json"],q=J["transformers.js_config"]??{},F=q.use_external_data_format,D="onnx",V=H??q.device,O=G??q.dtype,P=J20(J),N=(w,E=null)=>{E=E??w;let T=Qw0(V,w),y=Xw0(O,w,T),x=LR[y]??"",b=`${E}${x}.onnx`,g=D?`${D}/${b}`:b;z.push(g);let l=sw0(F,b,w);for(let _ of rw0(b,l)){let a=D?`${D}/${_}`:_;z.push(a)}},{sessions:I,optional_configs:R}=JFQ(P,J,{model_file_name:K});for(let[w,E]of Object.entries(I))N(w,E);if(R)for(let w of Object.values(R))z.push(w);return z}var MV=null;function YFQ(Q){MV=Q}function Z90(Q){if(Q instanceof PQ)return Q;if(Q.length===0)throw Error("items must be non-empty");if(Array.isArray(Q[0])){if(Q.some((J)=>J.length!==Q[0].length))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length.");return new PQ("int64",BigInt64Array.from(Q.flat().map((J)=>BigInt(J))),[Q.length,Q[0].length])}else return new PQ("int64",BigInt64Array.from(Q.map((J)=>BigInt(J))),[1,Q.length])}function W20(Q){return new PQ("bool",[Q],[1])}var II0={[RQ.DecoderOnly]:{can_generate:!0,forward:h5,prepare_inputs:vF},[RQ.DecoderOnlyWithoutHead]:{can_generate:!1,forward:h5,prepare_inputs:vF},[RQ.Seq2Seq]:{can_generate:!0,forward:YR,prepare_inputs:NR},[RQ.Vision2Seq]:{can_generate:!0,forward:YR,prepare_inputs:NR},[RQ.Musicgen]:{can_generate:!0,forward:YR},[RQ.EncoderDecoder]:{can_generate:!1,forward:YR},[RQ.ImageTextToText]:{can_generate:!0,forward:BFQ,prepare_inputs:GR},[RQ.AudioTextToText]:{can_generate:!0,forward:HFQ,prepare_inputs:GR},[RQ.ImageAudioTextToText]:{can_generate:!0,prepare_inputs:GR},[RQ.Phi3V]:{can_generate:!0,prepare_inputs:GR},[RQ.MultiModality]:{can_generate:!0},[RQ.AutoEncoder]:{can_generate:!1,forward:GFQ},[RQ.Chatterbox]:{can_generate:!0,forward:FH},[RQ.VoxtralRealtime]:{can_generate:!0,prepare_inputs:vF},default:{can_generate:!1,forward:FH}};function RI0(Q,J){let G=b5.get(Q),H=!1,K=J?.architectures?.[0];if(K&&K!==Q&&Q?.endsWith("ForCausalLM")&&K.endsWith("ForConditionalGeneration")){let F=b5.get(K);if(F!==void 0)G=F,H=!0}let z=II0[G]??II0.default,q=x5[G]??x5.default;return{typeConfig:{...z,...q},textOnly:H,modelType:G}}var b5=new Map,Y10=new Map,CV=new Map,s0=class extends nJ{main_input_name="input_ids";forward_params=["input_ids","attention_mask"];_return_dict_in_generate_keys=null;constructor(Q,J,G){super();this.config=Q,this.sessions=J,this.configs=G;let H=CV.get(this.constructor),{typeConfig:K}=RI0(H,Q);if(this.can_generate=K.can_generate,this._forward=K.forward,this._prepare_inputs_for_generation=K.prepare_inputs,this.can_generate)this.forward_params.push("past_key_values");this.custom_config=this.config["transformers.js_config"]??{}}async dispose(){let Q=[];for(let J of Object.values(this.sessions))Q.push(J.release?.());return await Promise.all(Q)}static async from_pretrained(Q,{progress_callback:J=null,config:G=null,cache_dir:H=null,local_files_only:K=!1,revision:z="main",model_file_name:q=null,subfolder:F="onnx",device:D=null,dtype:V=null,use_external_data_format:O=null,session_options:P={}}={}){let N={progress_callback:J,config:G,cache_dir:H,local_files_only:K,revision:z,model_file_name:q,subfolder:F,device:D,dtype:V,use_external_data_format:O,session_options:P},I=CV.get(this);G=N.config=await _F.from_pretrained(Q,N);let{typeConfig:R,textOnly:w,modelType:E}=RI0(I,G);if(E===void 0){let b=I??G?.model_type;if(b!=="custom")g8.warn(`Model type for '${b}' not found, assuming encoder-only architecture. Please report this at ${SR}.`)}if(J&&!(J instanceof J90)){let b={};try{let g=await G20(Q,{config:G,dtype:V,device:D,model_file_name:q});(await Promise.all(g.map((_)=>uF(Q,_,N)))).forEach((_,a)=>{if(_.exists){let r=g[a]==="config.json";b[g[a]]={loaded:r?_.size??0:0,total:_.size??0}}})}catch(g){g8.warn(`Unable to fetch model file metadata for total progress tracking: ${g}`)}if(Object.keys(b).length>0)N.progress_callback=new J90(J,b)}let T=R.sessions(G,N,w),y=[xZQ(Q,T,N,R.cache_sessions)];if(R.optional_configs)y.push(KFQ(Q,R.optional_configs,N));let x=await Promise.all(y);return new this(G,...x)}async _call(Q){return await this.forward(Q)}async forward(Q){return await this._forward(this,Q)}get generation_config(){return this.configs?.generation_config??null}_get_logits_processor(Q,J,G=null){let H=new $90;if(Q.repetition_penalty!==null&&Q.repetition_penalty!==1)H.push(new lZQ(Q.repetition_penalty));if(Q.no_repeat_ngram_size!==null&&Q.no_repeat_ngram_size>0)H.push(new pZQ(Q.no_repeat_ngram_size));if(Q.bad_words_ids!==null)H.push(new iZQ(Q.bad_words_ids,Q.eos_token_id));if(Q.min_length!==null&&Q.eos_token_id!==null&&Q.min_length>0)H.push(new dZQ(Q.min_length,Q.eos_token_id));if(Q.min_new_tokens!==null&&Q.eos_token_id!==null&&Q.min_new_tokens>0)H.push(new cZQ(J,Q.min_new_tokens,Q.eos_token_id));if(Q.forced_bos_token_id!==null)H.push(new _ZQ(Q.forced_bos_token_id));if(Q.forced_eos_token_id!==null)H.push(new fZQ(Q.max_length,Q.forced_eos_token_id));if(Q.suppress_tokens!==null)H.push(new mZQ(Q.suppress_tokens));if(Q.begin_suppress_tokens!==null){let K=J>1||Q.forced_bos_token_id===null?J:J+1;H.push(new ew0(Q.begin_suppress_tokens,K))}if(Q.guidance_scale!==null&&Q.guidance_scale>1)H.push(new oZQ(Q.guidance_scale));if(Q.temperature===0&&Q.do_sample)g8.warn("`do_sample` changed to false because `temperature: 0` implies greedy sampling (always selecting the most likely token), which is incompatible with `do_sample: true`."),Q.do_sample=!1;if(Q.do_sample){if(Q.temperature!==null&&Q.temperature!==1)H.push(new nZQ(Q.temperature))}if(G!==null)H.extend(G);return H}_prepare_generation_config(Q,J,G=Q20){let H={...this.config};for(let z of["decoder","generator","text_config"])if(z in H)Object.assign(H,H[z]);let K=new G(H);if(Object.assign(K,this.generation_config??{}),Q)Object.assign(K,Q);if(J)Object.assign(K,JX(J,Object.getOwnPropertyNames(K)));return K}_get_stopping_criteria(Q,J=null){let G=new X20;if(Q.max_length!==null)G.push(new aZQ(Q.max_length,this.config.max_position_embeddings??null));if(Q.eos_token_id!==null)G.push(new sZQ(Q.eos_token_id));if(J)G.extend(J);return G}_validate_model_class(){if(!this.can_generate){let Q=[MV.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,MV.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES,MV.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES,MV.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES].filter(Boolean),J=CV.get(this.constructor),G=new Set,H=this.config.model_type;for(let z of Q){let q=z?.get(H);if(q)G.add(q)}let K=`The current model class (${J}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;if(G.size>0)K+=` Please use the following class instead: ${[...G].join(", ")}`;throw Error(K)}}prepare_inputs_for_generation(...Q){if(!this._prepare_inputs_for_generation)throw Error("prepare_inputs_for_generation is not implemented for this model.");return this._prepare_inputs_for_generation(this,...Q)}_update_model_kwargs_for_generation({generated_input_ids:Q,outputs:J,model_inputs:G,is_encoder_decoder:H}){if(G.past_key_values=F90(J,G.past_key_values),G.input_ids=new PQ("int64",Q.flat(),[Q.length,1]),!H)G.attention_mask=T9([G.attention_mask,oJ([G.attention_mask.dims[0],1])],1);else if("decoder_attention_mask"in G)G.decoder_attention_mask=T9([G.decoder_attention_mask,oJ([G.decoder_attention_mask.dims[0],1])],1);return G.position_ids=null,G}_prepare_model_inputs({inputs:Q,bos_token_id:J,model_kwargs:G}){let H=JX(G,this.forward_params),K=this.main_input_name;if(K in H){if(Q)throw Error("`inputs`: {inputs}` were passed alongside {input_name} which is not allowed. Make sure to either pass {inputs} or {input_name}=...")}else H[K]=Q;return{inputs_tensor:H[K],model_inputs:H,model_input_name:K}}async _prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:Q,model_inputs:J,model_input_name:G,generation_config:H}){if(this.sessions.model.inputNames.includes("inputs_embeds")&&!J.inputs_embeds&&"_prepare_inputs_embeds"in this){let{input_ids:z,pixel_values:q,attention_mask:F,...D}=J,V=await this._prepare_inputs_embeds(J);J={...D,...JX(V,["inputs_embeds","attention_mask"])}}let{last_hidden_state:K}=await FH(this,J);if(H.guidance_scale!==null&&H.guidance_scale>1){if(K=T9([K,V90(K,0)],0),"attention_mask"in J)J.attention_mask=T9([J.attention_mask,Hw0(J.attention_mask)],0)}else if(J.decoder_input_ids){let z=Z90(J.decoder_input_ids).dims[0];if(z!==K.dims[0]){if(K.dims[0]!==1)throw Error(`The encoder outputs have a different batch size (${K.dims[0]}) than the decoder inputs (${z}).`);K=T9(Array.from({length:z},()=>K),0)}}return J.encoder_outputs=K,J}_prepare_decoder_input_ids_for_generation({batch_size:Q,model_input_name:J,model_kwargs:G,decoder_start_token_id:H,bos_token_id:K,generation_config:z}){let{decoder_input_ids:q,...F}=G;if(!(q instanceof PQ)){if(!q)if(H??=K,this.config.model_type==="musicgen")q=Array.from({length:Q*this.config.decoder.num_codebooks},()=>[H]);else if(Array.isArray(H)){if(H.length!==Q)throw Error(`\`decoder_start_token_id\` expcted to have length ${Q} but got ${H.length}`);q=H}else q=Array.from({length:Q},()=>[H]);else if(!Array.isArray(q[0]))q=Array.from({length:Q},()=>q);q=Z90(q)}return F.decoder_attention_mask=Gw0(q),{input_ids:q,model_inputs:F}}async generate({inputs:Q=null,generation_config:J=null,logits_processor:G=null,stopping_criteria:H=null,streamer:K=null,...z}){this._validate_model_class(),J=this._prepare_generation_config(J,z);let{inputs_tensor:q,model_inputs:F,model_input_name:D}=this._prepare_model_inputs({inputs:Q,model_kwargs:z}),V=this.config.is_encoder_decoder;if(!V);else if(!("encoder_outputs"in F))F=await this._prepare_encoder_decoder_kwargs_for_generation({inputs_tensor:q,model_inputs:F,model_input_name:D,generation_config:J});let O;if(V)({input_ids:O,model_inputs:F}=this._prepare_decoder_input_ids_for_generation({batch_size:F[D].dims.at(0),model_input_name:D,model_kwargs:F,decoder_start_token_id:J.decoder_start_token_id,bos_token_id:J.bos_token_id,generation_config:J}));else O=F[D];let P=O.dims.at(-1);if(J.max_new_tokens!==null)J.max_length=P+J.max_new_tokens;let N=this._get_logits_processor(J,P,G),I=this._get_stopping_criteria(J,H),R=F[D].dims.at(0),w=vR.getSampler(J),E=Array(R).fill(0),T=O.tolist();if(K)K.put(T);let y,x={},b={};while(!0){if(F=this.prepare_inputs_for_generation(T,F,J),y=await this.forward(F),J.return_dict_in_generate){if(J.output_attentions){let u0=WFQ(y);for(let d in u0){if(!(d in x))x[d]=[];x[d].push(u0[d])}}else if(this._return_dict_in_generate_keys)Object.assign(b,JX(y,this._return_dict_in_generate_keys))}let r=y.logits.slice(null,-1,null).to("float32"),f0=N(T,r),t=[];for(let u0=0;u0<f0.dims.at(0);++u0){let d=f0[u0],n=await w(d);for(let[c0,WQ]of n){let R0=BigInt(c0);E[u0]+=WQ,T[u0].push(R0),t.push([R0]);break}}if(K)K.put(t);if(I(T).every((u0)=>u0))break;F=this._update_model_kwargs_for_generation({generated_input_ids:t,outputs:y,model_inputs:F,is_encoder_decoder:V})}if(K)K.end();let g=new PQ("int64",T.flat(),[T.length,T[0].length]),l=F90(y,F.past_key_values),_=new Set(Object.values(l));for(let r of Object.values(y))if(r.location==="gpu-buffer"&&!_.has(r))r.dispose();if(!(("past_key_values"in z)||J.return_dict_in_generate))await l.dispose();if(J.return_dict_in_generate)return{sequences:g,past_key_values:l,...x,...b};return g}async _encode_input(Q,J,G){if(!Object.hasOwn(this.sessions,Q))throw Error(`Model does not have a ${Q} session.`);let H=this.sessions[Q];return(await E6(H,JX(J,H.inputNames)))[G]}async encode_image(Q){return this._encode_input("vision_encoder",Q,"image_features")}async encode_text(Q){return this._encode_input("embed_tokens",Q,"inputs_embeds")}async encode_audio(Q){return this._encode_input("audio_encoder",Q,"audio_features")}};async function YR(Q,J){let{encoder_outputs:G,input_ids:H,decoder_input_ids:K,decoder_attention_mask:z,...q}=J;if(!G){let F=JX(J,Q.sessions.model.inputNames);G=(await FH(Q,F)).last_hidden_state}if(q.input_ids=K,q.encoder_hidden_states=G,Q.sessions.decoder_model_merged.inputNames.includes("encoder_attention_mask"))q.encoder_attention_mask=J.attention_mask;if(z&&!q.attention_mask)q.attention_mask=z;return await h5(Q,q,!0)}async function FH(Q,J){let G=Q.sessions.model,H=JX(J,G.inputNames);if(G.inputNames.includes("inputs_embeds")&&!H.inputs_embeds){if(!J.input_ids)throw Error("Both `input_ids` and `inputs_embeds` are missing in the model inputs.");H.inputs_embeds=await Q.encode_text({input_ids:J.input_ids})}if(G.inputNames.includes("token_type_ids")&&!H.token_type_ids){if(!H.input_ids)throw Error("Both `input_ids` and `token_type_ids` are missing in the model inputs.");H.token_type_ids=Hw0(H.input_ids)}if(G.inputNames.includes("pixel_mask")&&!H.pixel_mask){if(!H.pixel_values)throw Error("Both `pixel_values` and `pixel_mask` are missing in the model inputs.");let K=H.pixel_values.dims;H.pixel_mask=oJ([K[0],K[2],K[3]])}return await E6(G,H)}async function GFQ(Q,J){let G=await Q.encode(J);return await Q.decode(G)}function F90(Q,J){let G=Object.create(null);for(let H in Q)if(H.startsWith("present")){let K=H.replace("present_ssm","past_ssm").replace("present_conv","past_conv").replace("present_recurrent","past_recurrent").replace("present","past_key_values");if(H.includes("encoder")&&J)G[K]=J[K];else G[K]=Q[H]}if(J)return J.update(G),J;return new J10(G)}function WFQ(Q){let J={};for(let G of["cross_attentions","encoder_attentions","decoder_attentions"])for(let H in Q)if(H.startsWith(G)){if(!(G in J))J[G]=[];J[G].push(Q[H])}return J}function H20(Q,J){return Q.map((G)=>{if(typeof G==="number")return G;return J[G]??0})}function G10(Q,J,G){if(G&&Object.keys(G).length>0)return Object.assign(J,G),G;let H=Q.sessions.decoder_model_merged??Q.sessions.model,K=(J[Q.main_input_name]??J.attention_mask)?.dims?.[0]??1,z=kR(Q.config),q=Q.config?.normalized_config?.num_heads,F={batch_size:K};if(typeof q==="number")F["batch_size x num_heads"]=K*q;let D=Object.create(null);for(let V of H.inputMetadata){if(!z.has(V.name))continue;let O=H20(V.shape,F),P=O.reduce((R,w)=>R*w,1),N=gF[V.type],I=new PQ(V.type,new N(P),O);J[V.name]=I,D[V.name]=I}if(G)return G.update(D),G;return new J10(D)}async function h5(Q,J,G=!1){let H=Q.sessions[G?"decoder_model_merged":"model"],{past_key_values:K,...z}=J;if(H.inputNames.includes("use_cache_branch"))z.use_cache_branch=W20(K!=null&&Object.keys(K).length>0);if(H.inputNames.includes("position_ids")&&z.attention_mask&&!z.position_ids){let F=["paligemma","gemma3_text","gemma3"].includes(Q.config.model_type)?1:0;z.position_ids=AFQ(z,K,F)}if(H.inputNames.includes("num_logits_to_keep")&&!z.num_logits_to_keep)z.num_logits_to_keep=new PQ("int64",[0n],[]);G10(Q,z,K);let q=JX(z,H.inputNames);return await E6(H,q)}async function B20(Q,{encode_function:J,merge_function:G,modality_input_names:H,modality_output_name:K,input_ids:z=null,attention_mask:q=null,position_ids:F=null,inputs_embeds:D=null,past_key_values:V=null,generation_config:O=null,logits_processor:P=null,...N}){if(!D){D=await Q.encode_text({input_ids:z,...N});let R=JX(N,H);if(Object.keys(R).length>0){if(z.dims[1]!==1){let w=await J({...R,...N});({inputs_embeds:D,attention_mask:q}=G({[K]:w,inputs_embeds:D,input_ids:z,attention_mask:q}))}else if(V&&z.dims[1]===1){let w=z.dims[1],E=V.get_seq_length();q=T9([oJ([z.dims[0],E]),q.slice(null,[q.dims[1]-w,q.dims[1]])],1)}}}if(!F){if(["qwen2_vl","qwen2_vl_text","qwen2_5_vl","qwen2_5_vl_text","qwen3_vl","qwen3_vl_text","qwen3_vl_moe","qwen3_vl_moe_text","qwen3_5","qwen3_5_text","qwen3_5_moe","qwen3_5_moe_text","glm_ocr","glm_ocr_text"].includes(Q.config.model_type)){let{image_grid_thw:R,video_grid_thw:w}=N;[F]=Q.get_rope_index(z,R,w,q)}}return await h5(Q,{inputs_embeds:D,past_key_values:V,attention_mask:q,position_ids:F,generation_config:O,logits_processor:P},!0)}async function HFQ(Q,J){return await B20(Q,{...J,modality_input_names:["audio_values","input_features"],modality_output_name:"audio_features",encode_function:Q.encode_audio.bind(Q),merge_function:Q._merge_input_ids_with_audio_features.bind(Q)})}async function BFQ(Q,J){return await B20(Q,{...J,modality_input_names:["pixel_values"],modality_output_name:"image_features",encode_function:Q.encode_image.bind(Q),merge_function:Q._merge_input_ids_with_image_features.bind(Q)})}function A20(Q,J=0){let[G,H]=Q.dims,K=Q.data,z=new BigInt64Array(K.length);for(let q=0;q<G;++q){let F=q*H,D=BigInt(J);for(let V=0;V<H;++V){let O=F+V;if(K[O]===0n)z[O]=BigInt(1);else z[O]=D,D+=K[O]}}return{data:z,dims:Q.dims}}function AFQ(Q,J=null,G=0){let{input_ids:H,inputs_embeds:K,attention_mask:z}=Q,{data:q,dims:F}=A20(z,G),D=new PQ("int64",q,F);if(J){let V=-(H??K).dims.at(1);D=D.slice(null,[V,null])}return D}function vF(Q,J,G,H){let K=G.past_key_values?G.past_key_values.get_seq_length():0;if((Q.sessions.decoder_model_merged??Q.sessions.model)?.inputNames.includes("num_logits_to_keep")&&!G.num_logits_to_keep)G.num_logits_to_keep=new PQ("int64",[1n],[]);if(!G.attention_mask){let q;for(let F of["input_ids","inputs_embeds","position_ids"])if(G[F]){q=G[F].dims;break}if(!q)throw Error("attention_mask is not provided, and unable to infer its shape from model inputs.");G.attention_mask=oJ([q[0],K+q[1]])}if(G.past_key_values){let{input_ids:q,attention_mask:F}=G;if(F&&F.dims[1]>q.dims[1]);else if(K<q.dims[1])G.input_ids=q.slice(null,[K,null])}return G}function NR(Q,J,G,H){if(G.past_key_values)J=J.map((K)=>[K.at(-1)]);return{...G,decoder_input_ids:Z90(J)}}function GR(Q,...J){if(Q.config.is_encoder_decoder)return NR(Q,...J);else return vF(Q,...J)}function K20({modality_token_id:Q,inputs_embeds:J,modality_features:G,input_ids:H,attention_mask:K}){let z=H.tolist().map((V)=>V.reduce((O,P,N)=>{if(P==Q)O.push(N);return O},[])),q=z.reduce((V,O)=>V+O.length,0),F=G.dims[0];if(q!==F)throw Error(`Number of tokens and features do not match: tokens: ${q}, features ${F}`);let D=0;for(let V=0;V<z.length;++V){let O=z[V],P=J[V];for(let N=0;N<O.length;++N)P[O[N]].data.set(G[D++].data)}return{inputs_embeds:J,attention_mask:K}}function W10({image_token_id:Q,inputs_embeds:J,image_features:G,input_ids:H,attention_mask:K}){return K20({modality_token_id:Q,inputs_embeds:J,modality_features:G,input_ids:H,attention_mask:K})}function z20({audio_token_id:Q,inputs_embeds:J,audio_features:G,input_ids:H,attention_mask:K}){return K20({modality_token_id:Q,inputs_embeds:J,modality_features:G,input_ids:H,attention_mask:K})}async function KFQ(Q,J,G){return Object.fromEntries(await Promise.all(Object.keys(J).map(async(H)=>{let K=await bW(Q,J[H],!1,G);return[H,K]})))}var H10={};IV(H10,{ASTForAudioClassification:()=>PFQ,ASTModel:()=>OFQ,ASTPreTrainedModel:()=>z10,AfmoeForCausalLM:()=>DFQ,AfmoeModel:()=>FFQ,AfmoePreTrainedModel:()=>A10,AlbertForMaskedLM:()=>UFQ,AlbertForQuestionAnswering:()=>qFQ,AlbertForSequenceClassification:()=>VFQ,AlbertModel:()=>zFQ,AlbertPreTrainedModel:()=>lF,ApertusForCausalLM:()=>ZFQ,ApertusModel:()=>$FQ,ApertusPreTrainedModel:()=>B10,ArceeForCausalLM:()=>LFQ,ArceeModel:()=>MFQ,ArceePreTrainedModel:()=>K10,BartForConditionalGeneration:()=>jFQ,BartForSequenceClassification:()=>CFQ,BartModel:()=>NFQ,BartPretrainedModel:()=>xR,BeitForImageClassification:()=>RFQ,BeitModel:()=>IFQ,BeitPreTrainedModel:()=>V10,BertForMaskedLM:()=>EFQ,BertForQuestionAnswering:()=>kFQ,BertForSequenceClassification:()=>SFQ,BertForTokenClassification:()=>TFQ,BertModel:()=>wFQ,BertPreTrainedModel:()=>TV,BlenderbotForConditionalGeneration:()=>vFQ,BlenderbotModel:()=>yFQ,BlenderbotPreTrainedModel:()=>q10,BlenderbotSmallForConditionalGeneration:()=>bFQ,BlenderbotSmallModel:()=>xFQ,BlenderbotSmallPreTrainedModel:()=>U10,BloomForCausalLM:()=>hFQ,BloomModel:()=>gFQ,BloomPreTrainedModel:()=>$10,CHMv2ForDepthEstimation:()=>cFQ,CHMv2PreTrainedModel:()=>$20,CLIPModel:()=>oFQ,CLIPPreTrainedModel:()=>qB,CLIPSegForImageSegmentation:()=>tFQ,CLIPSegModel:()=>rFQ,CLIPSegPreTrainedModel:()=>Z10,CLIPTextModel:()=>nFQ,CLIPTextModelWithProjection:()=>D20,CLIPVisionModel:()=>aFQ,CLIPVisionModelWithProjection:()=>sFQ,CamembertForMaskedLM:()=>fFQ,CamembertForQuestionAnswering:()=>pFQ,CamembertForSequenceClassification:()=>mFQ,CamembertForTokenClassification:()=>uFQ,CamembertModel:()=>_FQ,CamembertPreTrainedModel:()=>kV,ChatterboxModel:()=>q20,ChatterboxPreTrainedModel:()=>V20,ChineseCLIPModel:()=>dFQ,ChineseCLIPPreTrainedModel:()=>U20,ClapAudioModelWithProjection:()=>F20,ClapModel:()=>iFQ,ClapPreTrainedModel:()=>bR,ClapTextModelWithProjection:()=>Z20,CodeGenForCausalLM:()=>QDQ,CodeGenModel:()=>eFQ,CodeGenPreTrainedModel:()=>F10,Cohere2ForCausalLM:()=>GDQ,Cohere2Model:()=>YDQ,Cohere2PreTrainedModel:()=>M10,CohereAsrForConditionalGeneration:()=>HDQ,CohereAsrModel:()=>WDQ,CohereAsrPreTrainedModel:()=>L10,CohereForCausalLM:()=>JDQ,CohereModel:()=>XDQ,CoherePreTrainedModel:()=>D10,ConvBertForMaskedLM:()=>ADQ,ConvBertForQuestionAnswering:()=>VDQ,ConvBertForSequenceClassification:()=>KDQ,ConvBertForTokenClassification:()=>zDQ,ConvBertModel:()=>BDQ,ConvBertPreTrainedModel:()=>yV,ConvNextForImageClassification:()=>UDQ,ConvNextModel:()=>qDQ,ConvNextPreTrainedModel:()=>O10,ConvNextV2ForImageClassification:()=>ZDQ,ConvNextV2Model:()=>$DQ,ConvNextV2PreTrainedModel:()=>P10,DFineForObjectDetection:()=>LDQ,DFineModel:()=>MDQ,DFinePreTrainedModel:()=>j10,DINOv3ConvNextModel:()=>cDQ,DINOv3ConvNextPreTrainedModel:()=>R20,DINOv3ViTModel:()=>iDQ,DINOv3ViTPreTrainedModel:()=>w20,DPTForDepthEstimation:()=>QMQ,DPTModel:()=>eDQ,DPTPreTrainedModel:()=>S10,DacDecoderModel:()=>P20,DacDecoderOutput:()=>L20,DacEncoderModel:()=>O20,DacEncoderOutput:()=>M20,DacModel:()=>ODQ,DacPreTrainedModel:()=>gR,DebertaForMaskedLM:()=>NDQ,DebertaForQuestionAnswering:()=>IDQ,DebertaForSequenceClassification:()=>jDQ,DebertaForTokenClassification:()=>CDQ,DebertaModel:()=>PDQ,DebertaPreTrainedModel:()=>vV,DebertaV2ForMaskedLM:()=>SDQ,DebertaV2ForQuestionAnswering:()=>yDQ,DebertaV2ForSequenceClassification:()=>TDQ,DebertaV2ForTokenClassification:()=>kDQ,DebertaV2Model:()=>EDQ,DebertaV2PreTrainedModel:()=>xV,DecisionTransformerModel:()=>vDQ,DecisionTransformerPreTrainedModel:()=>N20,DeepseekV3ForCausalLM:()=>wDQ,DeepseekV3Model:()=>RDQ,DeepseekV3PreTrainedModel:()=>C10,DeiTForImageClassification:()=>bDQ,DeiTModel:()=>xDQ,DeiTPreTrainedModel:()=>I10,DepthAnythingForDepthEstimation:()=>gDQ,DepthAnythingPreTrainedModel:()=>j20,DepthProForDepthEstimation:()=>hDQ,DepthProPreTrainedModel:()=>C20,DetrForObjectDetection:()=>fDQ,DetrForSegmentation:()=>mDQ,DetrModel:()=>_DQ,DetrObjectDetectionOutput:()=>R10,DetrPreTrainedModel:()=>hR,DetrSegmentationOutput:()=>I20,Dinov2ForImageClassification:()=>pDQ,Dinov2Model:()=>uDQ,Dinov2PreTrainedModel:()=>w10,Dinov2WithRegistersForImageClassification:()=>dDQ,Dinov2WithRegistersModel:()=>lDQ,Dinov2WithRegistersPreTrainedModel:()=>E10,DistilBertForMaskedLM:()=>rDQ,DistilBertForQuestionAnswering:()=>sDQ,DistilBertForSequenceClassification:()=>nDQ,DistilBertForTokenClassification:()=>aDQ,DistilBertModel:()=>oDQ,DistilBertPreTrainedModel:()=>bV,DonutSwinModel:()=>tDQ,DonutSwinPreTrainedModel:()=>E20,EdgeTamModel:()=>VNQ,EfficientNetForImageClassification:()=>JMQ,EfficientNetModel:()=>XMQ,EfficientNetPreTrainedModel:()=>T10,ElectraForMaskedLM:()=>GMQ,ElectraForQuestionAnswering:()=>BMQ,ElectraForSequenceClassification:()=>WMQ,ElectraForTokenClassification:()=>HMQ,ElectraModel:()=>YMQ,ElectraPreTrainedModel:()=>gV,Ernie4_5ForCausalLM:()=>KMQ,Ernie4_5Model:()=>AMQ,Ernie4_5PretrainedModel:()=>k10,EsmForMaskedLM:()=>VMQ,EsmForSequenceClassification:()=>qMQ,EsmForTokenClassification:()=>UMQ,EsmModel:()=>zMQ,EsmPreTrainedModel:()=>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lF=class extends s0{},zFQ=class extends lF{},VFQ=class extends lF{async _call(Q){return new T8(await super._call(Q))}},qFQ=class extends lF{async _call(Q){return new eX(await super._call(Q))}},UFQ=class extends lF{async _call(Q){return new f7(await super._call(Q))}},B10=class extends s0{},$FQ=class extends B10{},ZFQ=class extends B10{},A10=class extends s0{},FFQ=class extends A10{},DFQ=class extends A10{},K10=class extends s0{},MFQ=class extends K10{},LFQ=class extends K10{},z10=class extends s0{},OFQ=class extends z10{},PFQ=class extends z10{},xR=class extends s0{},NFQ=class extends xR{},jFQ=class extends xR{},CFQ=class extends xR{async _call(Q){return new T8(await super._call(Q))}},V10=class extends s0{},IFQ=class extends V10{},RFQ=class extends V10{async _call(Q){return new T8(await super._call(Q))}},TV=class extends s0{},wFQ=class extends TV{},EFQ=class extends TV{async _call(Q){return new f7(await super._call(Q))}},SFQ=class extends TV{async _call(Q){return new T8(await super._call(Q))}},TFQ=class extends TV{async _call(Q){return new R7(await super._call(Q))}},kFQ=class extends TV{async _call(Q){return new eX(await super._call(Q))}},q10=class extends s0{},yFQ=class extends q10{},vFQ=class extends q10{},U10=class extends s0{},xFQ=class extends U10{},bFQ=class extends U10{},$10=class extends s0{},gFQ=class extends $10{},hFQ=class extends $10{},kV=class extends s0{},_FQ=class extends kV{},fFQ=class extends kV{async _call(Q){return new f7(await super._call(Q))}},mFQ=class extends kV{async _call(Q){return new T8(await super._call(Q))}},uFQ=class extends kV{async _call(Q){return new R7(await super._call(Q))}},pFQ=class extends kV{async _call(Q){return new eX(await super._call(Q))}},lFQ=4299n,wI0=6561n,V20=class extends s0{forward_params=["input_ids","inputs_embeds","attention_mask","position_ids","audio_values","exaggeration","audio_features","audio_tokens","speaker_embeddings","speaker_features","past_key_values"];main_input_name="input_ids";_return_dict_in_generate_keys=["audio_tokens","speaker_embeddings","speaker_features"]},q20=class extends V20{async encode_speech(Q){return E6(this.sessions.speech_encoder,{audio_values:Q})}async forward({input_ids:Q=null,attention_mask:J=null,audio_values:G=null,exaggeration:H=null,position_ids:K=null,inputs_embeds:z=null,past_key_values:q=null,generation_config:F=null,logits_processor:D=null,audio_features:V=null,audio_tokens:O=null,speaker_embeddings:P=null,speaker_features:N=null,...I}){let R;if(!z){let E=this.sessions.embed_tokens.inputNames,T={input_ids:Q};if(E.includes("exaggeration")){if(!(H instanceof PQ)){let y=Q.dims[0];if(H==null)H=sX([y],0.5);else if(typeof H==="number")H=sX([y],H);else if(Array.isArray(H))H=new PQ("float32",H,[y]);else throw Error("Unsupported type for `exaggeration` input")}T.exaggeration=H}if(E.includes("position_ids"))T.position_ids=K;if({inputs_embeds:z}=await E6(this.sessions.embed_tokens,T),V&&O&&P&&N)R={audio_features:V,audio_tokens:O,speaker_embeddings:P,speaker_features:N};if(R||G)R??=await this.encode_speech(G),z=T9([R.audio_features,z],1),J=oJ([z.dims[0],z.dims[1]]);else{let y=z.dims[1];if(!q||y!==1)throw Error("Incorrect state encountered during generation.");let x=q.get_seq_length();J=oJ([z.dims[0],x+y])}}return{...await h5(this,{inputs_embeds:z,past_key_values:q,attention_mask:J,generation_config:F,logits_processor:D},!1),...R}}prepare_inputs_for_generation(Q,J,G){if(!J.position_ids&&this.sessions.embed_tokens.inputNames.includes("position_ids"))if(J.input_ids.dims[1]===1){let H=Array.from({length:Q.length},(K,z)=>Q[z].length-Q[z].findLastIndex((q)=>q==wI0)-1);J.position_ids=new PQ("int64",H,[Q.length,1])}else{let K=J.input_ids.tolist().map((z)=>{let q=0;return z.map((F)=>F>=wI0?0:q++)});J.position_ids=new PQ("int64",K.flat(),J.input_ids.dims)}if(J.input_ids.dims[1]===1)delete J.audio_values,delete J.audio_features,delete J.audio_tokens,delete J.speaker_embeddings,delete J.speaker_features;return vF(this,Q,J,G)}async generate(Q){let{sequences:J,audio_tokens:G,speaker_embeddings:H,speaker_features:K}=await super.generate({...Q,return_dict_in_generate:!0}),z=J.slice(null,[Q.input_ids.dims[1],-1]),q=sX([z.dims[0],3],lFQ),F=T9([G,z,q],1),{waveform:D}=await E6(this.sessions.conditional_decoder,{speech_tokens:F,speaker_features:K,speaker_embeddings:H});return D}},U20=class extends s0{},dFQ=class extends U20{},$20=class extends s0{},cFQ=class extends $20{},bR=class extends s0{},iFQ=class extends bR{},Z20=class extends bR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"text_model"})}},F20=class extends bR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"audio_model"})}},qB=class extends s0{},oFQ=class extends qB{},nFQ=class extends qB{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"text_model"})}},D20=class extends qB{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"text_model"})}},aFQ=class extends qB{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"vision_model"})}},sFQ=class extends qB{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"vision_model"})}},Z10=class extends s0{},rFQ=class extends Z10{},tFQ=class extends Z10{},F10=class extends s0{},eFQ=class extends F10{},QDQ=class extends F10{},D10=class extends s0{},XDQ=class extends D10{},JDQ=class extends D10{},M10=class extends s0{},YDQ=class extends M10{},GDQ=class extends M10{},L10=class extends s0{requires_attention_mask=!1;main_input_name="input_features";forward_params=["input_features","decoder_input_ids","decoder_attention_mask","past_key_values"]},WDQ=class extends L10{},HDQ=class extends L10{},yV=class extends s0{},BDQ=class extends yV{},ADQ=class extends yV{async _call(Q){return new f7(await super._call(Q))}},KDQ=class extends yV{async _call(Q){return new T8(await super._call(Q))}},zDQ=class extends yV{async _call(Q){return new R7(await super._call(Q))}},VDQ=class extends yV{async _call(Q){return new eX(await super._call(Q))}},O10=class extends s0{},qDQ=class extends O10{},UDQ=class extends O10{async _call(Q){return new T8(await super._call(Q))}},P10=class extends s0{},$DQ=class extends P10{},ZDQ=class extends P10{async _call(Q){return new T8(await super._call(Q))}},N10=class extends s0{},FDQ=class extends N10{},DDQ=class extends N10{async _call(Q){return new dF(await super._call(Q))}},dF=class extends _7{constructor({logits:Q,pred_boxes:J}){super();this.logits=Q,this.pred_boxes=J}},j10=class extends s0{},MDQ=class extends j10{},LDQ=class extends j10{async _call(Q){return new dF(await super._call(Q))}},M20=class extends _7{constructor({audio_codes:Q}){super();this.audio_codes=Q}},L20=class extends _7{constructor({audio_values:Q}){super();this.audio_values=Q}},gR=class extends s0{main_input_name="input_values";forward_params=["input_values"]},ODQ=class extends gR{async encode(Q){return new M20(await E6(this.sessions.encoder_model,Q))}async decode(Q){return new L20(await E6(this.sessions.decoder_model,Q))}},O20=class extends gR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"encoder_model"})}},P20=class extends gR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"decoder_model"})}},vV=class extends s0{},PDQ=class extends vV{},NDQ=class extends vV{async _call(Q){return new f7(await super._call(Q))}},jDQ=class extends vV{async _call(Q){return new T8(await super._call(Q))}},CDQ=class extends vV{async _call(Q){return new R7(await super._call(Q))}},IDQ=class extends vV{async _call(Q){return new eX(await super._call(Q))}},C10=class extends s0{},RDQ=class extends C10{},wDQ=class extends C10{},xV=class extends s0{},EDQ=class extends xV{},SDQ=class extends xV{async _call(Q){return new f7(await super._call(Q))}},TDQ=class extends xV{async _call(Q){return new T8(await super._call(Q))}},kDQ=class extends xV{async _call(Q){return new R7(await super._call(Q))}},yDQ=class extends xV{async _call(Q){return new eX(await super._call(Q))}},N20=class extends s0{},vDQ=class extends N20{},I10=class extends s0{},xDQ=class extends I10{},bDQ=class extends I10{async _call(Q){return new T8(await super._call(Q))}},j20=class extends s0{},gDQ=class extends j20{},C20=class extends s0{},hDQ=class extends C20{},hR=class extends s0{},_DQ=class extends hR{},fDQ=class extends hR{async _call(Q){return new R10(await super._call(Q))}},mDQ=class extends hR{async _call(Q){return new I20(await super._call(Q))}},R10=class extends _7{constructor({logits:Q,pred_boxes:J}){super();this.logits=Q,this.pred_boxes=J}},I20=class extends _7{constructor({logits:Q,pred_boxes:J,pred_masks:G}){super();this.logits=Q,this.pred_boxes=J,this.pred_masks=G}},w10=class extends s0{},uDQ=class extends w10{},pDQ=class extends w10{async _call(Q){return new T8(await super._call(Q))}},E10=class extends s0{},lDQ=class extends E10{},dDQ=class extends E10{async _call(Q){return new T8(await super._call(Q))}},R20=class extends s0{},cDQ=class extends R20{},w20=class extends s0{},iDQ=class extends w20{},bV=class extends s0{},oDQ=class extends bV{},nDQ=class extends bV{async _call(Q){return new T8(await super._call(Q))}},aDQ=class extends bV{async _call(Q){return new R7(await super._call(Q))}},sDQ=class extends bV{async _call(Q){return new eX(await super._call(Q))}},rDQ=class extends bV{async _call(Q){return new f7(await super._call(Q))}},E20=class extends s0{},tDQ=class extends E20{},S10=class extends s0{},eDQ=class extends S10{},QMQ=class extends S10{},T10=class extends s0{},XMQ=class extends T10{},JMQ=class extends T10{async _call(Q){return new T8(await super._call(Q))}},gV=class extends s0{},YMQ=class extends gV{},GMQ=class extends gV{async _call(Q){return new f7(await super._call(Q))}},WMQ=class extends gV{async _call(Q){return new T8(await super._call(Q))}},HMQ=class extends gV{async _call(Q){return new R7(await super._call(Q))}},BMQ=class extends gV{async _call(Q){return new eX(await super._call(Q))}},k10=class extends s0{},AMQ=class extends k10{},KMQ=class extends k10{},cF=class extends s0{},zMQ=class extends cF{},VMQ=class extends cF{async _call(Q){return new f7(await super._call(Q))}},qMQ=class extends cF{async _call(Q){return new T8(await super._call(Q))}},UMQ=class extends cF{async _call(Q){return new R7(await super._call(Q))}},iF=class extends s0{},$MQ=class extends iF{},ZMQ=class extends iF{async _call(Q){return new f7(await super._call(Q))}},FMQ=class extends iF{async _call(Q){return new T8(await super._call(Q))}},DMQ=class extends iF{async _call(Q){return new R7(await super._call(Q))}},y10=class extends s0{},MMQ=class extends y10{},LMQ=class extends y10{},v10=class extends s0{},OMQ=class extends v10{},PMQ=class extends v10{},x10=class extends s0{},NMQ=class extends x10{},jMQ=class extends x10{},b10=class extends s0{},CMQ=class extends b10{},IMQ=class extends b10{async _call(Q){return new T8(await super._call(Q))}},S20=class extends s0{forward_params=["input_ids","inputs_embeds","attention_mask","pixel_values","encoder_outputs","decoder_input_ids","decoder_inputs_embeds","decoder_attention_mask","past_key_values"];main_input_name="inputs_embeds"},RMQ=class extends S20{_merge_input_ids_with_image_features({inputs_embeds:Q,image_features:J,input_ids:G,attention_mask:H}){return{inputs_embeds:T9([J,Q],1),attention_mask:T9([oJ(J.dims.slice(0,2)),H],1)}}async _prepare_inputs_embeds({input_ids:Q,pixel_values:J,inputs_embeds:G,attention_mask:H}){if(!Q&&!J)throw Error("Either `input_ids` or `pixel_values` should be provided.");let K,z;if(Q)K=await this.encode_text({input_ids:Q});if(J)z=await this.encode_image({pixel_values:J});if(K&&z)({inputs_embeds:G,attention_mask:H}=this._merge_input_ids_with_image_features({inputs_embeds:K,image_features:z,input_ids:Q,attention_mask:H}));else G=K||z;return{inputs_embeds:G,attention_mask:H}}async forward({input_ids:Q,pixel_values:J,attention_mask:G,decoder_input_ids:H,decoder_attention_mask:K,encoder_outputs:z,past_key_values:q,inputs_embeds:F,decoder_inputs_embeds:D}){if(!F)({inputs_embeds:F,attention_mask:G}=await this._prepare_inputs_embeds({input_ids:Q,pixel_values:J,inputs_embeds:F,attention_mask:G}));if(!z){let{last_hidden_state:O}=await FH(this,{inputs_embeds:F,attention_mask:G});z=O}if(!D){if(!H)throw Error("Either `decoder_input_ids` or `decoder_inputs_embeds` should be provided.");D=await this.encode_text({input_ids:H})}return await h5(this,{inputs_embeds:D,attention_mask:K,encoder_attention_mask:G,encoder_hidden_states:z,past_key_values:q},!0)}},g10=class extends s0{},wMQ=class extends g10{},EMQ=class extends g10{},h10=class extends s0{},SMQ=class extends h10{},TMQ=class extends h10{},T20=class extends s0{forward_params=["input_ids","attention_mask","pixel_values","position_ids","past_key_values"]},_5=class extends T20{_merge_input_ids_with_image_features(Q){let J=Q.image_features.dims.at(-1),G=Q.image_features.view(-1,J);return W10({image_token_id:this.config.image_token_index??this.config.image_token_id,...Q,image_features:G})}},kMQ=class extends _5{},yMQ=class extends _5{},k20=class extends s0{},vMQ=class extends k20{},y20=class extends _5{},xMQ=class extends y20{},v20=class extends s0{forward_params=["input_ids","attention_mask","inputs_embeds","per_layer_inputs","position_ids","pixel_values","input_features","input_features_mask","past_key_values"]},_R=class extends v20{async forward({input_ids:Q=null,attention_mask:J=null,pixel_values:G=null,input_features:H=null,input_features_mask:K=null,position_ids:z=null,inputs_embeds:q=null,per_layer_inputs:F=null,past_key_values:D=null,generation_config:V=null,logits_processor:O=null,...P}){if(!q||!F){if({inputs_embeds:q,per_layer_inputs:F}=await E6(this.sessions.embed_tokens,{input_ids:Q}),Q.dims[1]!==1){if(G){let{image_features:I}=await this._encode_vision({pixel_values:G,...P});({inputs_embeds:q,attention_mask:J}=this._merge_input_ids_with_image_features({image_features:I,inputs_embeds:q,input_ids:Q,attention_mask:J}))}if(H){let{audio_features:I}=await E6(this.sessions.audio_encoder,{input_features:H,input_features_mask:K});({inputs_embeds:q,attention_mask:J}=this._merge_input_ids_with_audio_features({audio_features:I,inputs_embeds:q,input_ids:Q,attention_mask:J}))}}}return await h5(this,{inputs_embeds:q,per_layer_inputs:F,past_key_values:D,attention_mask:J,position_ids:z,generation_config:V,logits_processor:O},!0)}_encode_vision(Q){return E6(this.sessions.vision_encoder,{pixel_values:Q.pixel_values})}_merge_input_ids_with_image_features(Q){let J=Q.image_features.dims.at(-1),G=Q.image_features.view(-1,J);return W10({image_token_id:this.config.image_token_id,...Q,image_features:G})}_merge_input_ids_with_audio_features(Q){let J=Q.audio_features.dims.at(-1),G=Q.audio_features.view(-1,J);return z20({audio_token_id:this.config.audio_token_id,...Q,audio_features:G})}},bMQ=class extends _R{},_10=class extends _R{forward_params=["input_ids","attention_mask","inputs_embeds","per_layer_inputs","position_ids","pixel_values","image_position_ids","input_features","input_features_mask","past_key_values"];_encode_vision(Q){return E6(this.sessions.vision_encoder,{pixel_values:Q.pixel_values,pixel_position_ids:Q.image_position_ids})}},gMQ=class extends _10{},f10=class extends s0{},hMQ=class extends f10{},_MQ=class extends f10{},m10=class extends s0{},fMQ=class extends m10{},mMQ=class extends m10{},x20=class extends s0{forward_params=["input_ids","attention_mask","position_ids","past_key_values","pixel_values","image_grid_thw"]},u10=class extends x20{image_grid_thw_name="grid_thw";_get_text_only_rope_index(Q,J){if(J){let{data:G,dims:H}=A20(J),K=BigInt64Array.from({length:3*G.length},(q,F)=>G[F%G.length]),z=Array.from({length:H[0]},(q,F)=>D7(G.subarray(H[1]*F,H[1]*(F+1)))[0]+1n+BigInt(H[1]));return[new PQ("int64",K,[3,...H]),new PQ("int64",z,[z.length,1])]}else{let[G,H]=Q.dims,K=BigInt64Array.from({length:3*G*H},(z,q)=>BigInt(Math.floor(q%H/G)));return[new PQ("int64",K,[3,...Q.dims]),Ww0([G,1])]}}_reorder_and_write_positions(Q,J,G,H){let K=Q.reduce((D,V)=>D+V.length,0),z=Array(K),q=0;for(let D=0;D<3;++D)for(let V of Q){let O=V.length/3;for(let P=D*O;P<(D+1)*O;++P)z[q++]=V[P]}let F=0;for(let D=0;D<J.length;++D)if(J[D]==1){for(let V=0;V<3;++V)G[V][H][D]=z[V*K/3+F];++F}return z}_get_multimodal_rope_positions({filtered_ids:Q,image_grid_thw_list:J,video_grid_thw_list:G,spatial_merge_size:H,state:K}){let{image_token_id:z,video_token_id:q,vision_start_token_id:F}=this.config,D=Q,O=D.reduce((T,y,x)=>{if(y==F)T.push(x);return T},[]).map((T)=>D[T+1]),P=O.filter((T)=>T==z).length,N=O.filter((T)=>T==q).length,I=[],R=0,w=P,E=N;for(let T=0;T<O.length;++T){let y=D.findIndex((d0,m0)=>m0>R&&d0==z),x=D.findIndex((d0,m0)=>m0>R&&d0==q),b=w>0&&y!==-1?y:D.length+1,g=E>0&&x!==-1?x:D.length+1,l,_,a,r;if(b<g)[_,a,r]=J[K.image_index],++K.image_index,--w,l=b;else[_,a,r]=G[K.video_index],++K.video_index,--E,l=g;let[f0,t,p0]=[Number(_),Math.floor(Number(a)/H),Math.floor(Number(r)/H)],u0=l-R,d=I.length>0?D7(I.at(-1))[0]+1:0;I.push(Array.from({length:3*u0},(d0,m0)=>d+m0%u0));let n=u0+d,c0=f0*t*p0,WQ=Array.from({length:c0},(d0,m0)=>n+Math.floor(m0/(t*p0))),R0=Array.from({length:c0},(d0,m0)=>n+Math.floor(m0/p0)%t),l0=Array.from({length:c0},(d0,m0)=>n+m0%p0);I.push([WQ,R0,l0].flat()),R=l+c0}if(R<D.length){let T=I.length>0?D7(I.at(-1))[0]+1:0,y=D.length-R;I.push(Array.from({length:3*y},(x,b)=>T+b%y))}return I}get_rope_index(Q,J,G,H){let{vision_config:K}=this.config,z=K.spatial_merge_size??2;if(J||G){let q=Q.tolist();if(!H)H=Gw0(Q);let F=H.tolist(),D=Array.from({length:3},()=>Array.from({length:Q.dims[0]},()=>Array.from({length:Q.dims[1]},()=>0))),V=J?J.tolist():[],O=G?G.tolist():[],P={image_index:0,video_index:0},N=[];for(let I=0;I<q.length;++I){let R=q[I].filter((T,y)=>F[I][y]==1),w=this._get_multimodal_rope_positions({filtered_ids:R,image_grid_thw_list:V,video_grid_thw_list:O,spatial_merge_size:z,state:P}),E=this._reorder_and_write_positions(w,F[I],D,I);N.push(D7(E)[0]+1-q[I].length)}return[new PQ("int64",D.flat(1/0),[3,Q.dims[0],Q.dims[1]]),new PQ("int64",N,[N.length,1])]}else return this._get_text_only_rope_index(Q,H)}async encode_image({pixel_values:Q,image_grid_thw:J}){return(await E6(this.sessions.vision_encoder,{pixel_values:Q,[this.image_grid_thw_name]:J})).image_features}_merge_input_ids_with_image_features(Q){return W10({image_token_id:this.config.image_token_id,...Q})}prepare_inputs_for_generation(Q,J,G){if(!J.attention_mask||J.position_ids)return J;if(!(this.sessions.decoder_model_merged??this.sessions.model).inputNames.includes("position_ids"))return J;if(!J.past_key_values)[J.position_ids,J.rope_deltas]=this.get_rope_index(J.input_ids,J.image_grid_thw,J.video_grid_thw,J.attention_mask);else{J.pixel_values=null;let K=J.past_key_values.get_seq_length();if(K<J.input_ids.dims[1]){let[z,q]=this.get_rope_index(J.input_ids,J.image_grid_thw,J.video_grid_thw,J.attention_mask);J.rope_deltas=q,J.position_ids=z.slice(null,null,[K,null]),J.input_ids=J.input_ids.slice(null,[K,null])}else{if(!J.rope_deltas)[,J.rope_deltas]=this.get_rope_index(J.input_ids,J.image_grid_thw,J.video_grid_thw,J.attention_mask);let z=BigInt(K),q=J.rope_deltas.map((F)=>z+F);J.position_ids=g5([q,q,q],0)}}return J}},b20=class extends u10{},p10=class extends u10{image_grid_thw_name="image_grid_thw"},g20=class extends b20{image_grid_thw_name="image_grid_thw"},uMQ=class extends p10{get_vision_position_ids(Q,J,G,H){let K=Math.floor(J[0]/G),z=Math.floor(J[1]/H),q=Math.floor(J[2]/H),F=z*q*K,D=Array.from({length:F},()=>Q),V=Array.from({length:F},(P,N)=>Q+Math.floor(N/(q*K))),O=Array.from({length:F},(P,N)=>Q+N%q);return[...D,...V,...O]}_get_multimodal_rope_positions({filtered_ids:Q,image_grid_thw_list:J,video_grid_thw_list:G,spatial_merge_size:H,state:K}){let{image_token_id:z}=this.config,q=[],F=0,D=Q[0]==z?1:0;for(let P=1;P<=Q.length;++P){let N=P<Q.length?Q[P]==z?1:0:-1;if(N!==D)q.push([D,F,P]),F=P,D=N}let V=0,O=[];for(let[P,N,I]of q)if(P===0){let R=I-N;O.push(Array.from({length:3*R},(w,E)=>V+E%R)),V+=R}else{let R=J[K.image_index++].map(Number),w=R[0];O.push(this.get_vision_position_ids(V,R,w,H)),V+=Math.max(R[1],R[2])/H}return O}},l10=class extends s0{},pMQ=class extends l10{},lMQ=class extends l10{},d10=class extends s0{},dMQ=class extends d10{},cMQ=class extends d10{},c10=class extends s0{},iMQ=class extends c10{},oMQ=class extends c10{},i10=class extends s0{},nMQ=class extends i10{},aMQ=class extends i10{},o10=class extends s0{},sMQ=class extends o10{},rMQ=class extends o10{},n10=class extends s0{},tMQ=class extends n10{},eMQ=class extends n10{},a10=class extends s0{},QLQ=class extends a10{},XLQ=class extends a10{},s10=class extends s0{},JLQ=class extends s10{},YLQ=class extends s10{},r10=class extends s0{},GLQ=class extends r10{},WLQ=class extends r10{},h20=class extends s0{forward_params=["input_ids","attention_mask","position_ids","audio_values","past_key_values"]},t10=class extends h20{_merge_input_ids_with_audio_features(Q){let J=Q.audio_features.dims.at(-1),G=Q.audio_features.view(-1,J);return z20({audio_token_id:this.config.ignore_index??this.config.audio_token_id??this.config.audio_token_index,...Q,audio_features:G})}},HLQ=class extends t10{forward_params=["input_ids","attention_mask","input_features","past_key_values"]},_20=class extends s0{},BLQ=class extends _20{},f20=class extends s0{},ALQ=class extends f20{},e10=class extends s0{},KLQ=class extends e10{},zLQ=class extends e10{},Q70=class extends s0{},VLQ=class extends Q70{},qLQ=class extends Q70{async _call(Q){return new T8(await super._call(Q))}},DH=class extends s0{},ULQ=class extends DH{},$LQ=class extends DH{async _call(Q){return new VB(await super._call(Q))}},ZLQ=class extends DH{async _call(Q){return new T8(await super._call(Q))}},FLQ=class extends DH{async _call(Q){return new R7(await super._call(Q))}},DLQ=class extends s0{},MLQ=class extends DH{},LLQ=class extends DH{async _call(Q){return new VB(await super._call(Q))}},OLQ=class extends DH{async _call(Q){return new T8(await super._call(Q))}},X70=class extends s0{},PLQ=class extends X70{},NLQ=class extends X70{},m20=class extends _5{forward_params=["input_ids","attention_mask","pixel_values","pixel_attention_mask","position_ids","past_key_values"]},J70=class extends s0{},jLQ=class extends J70{},CLQ=class extends J70{async _call(Q){return new T8(await super._call(Q))}},Y70=class extends s0{},ILQ=class extends Y70{},RLQ=class extends Y70{},fR=class extends s0{},wLQ=class extends fR{async forward(Q){let J=!Q.input_ids,G=!Q.pixel_values;if(J&&G)throw Error("Either `input_ids` or `pixel_values` should be provided.");if(J)Q.input_ids=oJ([Q.pixel_values.dims[0],1]);if(G){let{image_size:D}=this.config.vision_config;Q.pixel_values=sX([0,3,D,D],0)}let{text_embeddings:H,image_embeddings:K,l2norm_text_embeddings:z,l2norm_image_embeddings:q}=await super.forward(Q),F={};if(!J)F.text_embeddings=H,F.l2norm_text_embeddings=z;if(!G)F.image_embeddings=K,F.l2norm_image_embeddings=q;return F}},u20=class extends fR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"text_model"})}},ELQ=class extends fR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"vision_model"})}},G70=class extends s0{},SLQ=class extends G70{},TLQ=class extends G70{},kLQ=class extends _5{},W70=class extends s0{},yLQ=class extends W70{},vLQ=class extends W70{},xLQ=class extends _5{forward_params=["input_ids","attention_mask","pixel_values","pixel_attention_mask","spatial_shapes","position_ids","past_key_values"]},H70=class extends s0{},bLQ=class extends H70{},gLQ=class extends H70{},p20=class extends s0{},hLQ=class extends p20{},B70=class extends s0{},_LQ=class extends B70{},fLQ=class extends B70{},A70=class extends s0{},mLQ=class extends A70{},uLQ=class extends A70{},K70=class extends s0{},pLQ=class extends K70{},lLQ=class extends K70{},z70=class extends s0{},dLQ=class extends z70{},cLQ=class extends z70{},oF=class extends s0{},iLQ=class extends oF{},oLQ=class extends oF{},nLQ=class extends oF{async _call(Q){return new T8(await super._call(Q))}},aLQ=class extends oF{},l20=class extends s0{},sLQ=class extends l20{},d20=class extends s0{},rLQ=class extends d20{},c20=class extends _7{constructor({char_logits:Q,bpe_logits:J,wp_logits:G}){super();this.char_logits=Q,this.bpe_logits=J,this.wp_logits=G}get logits(){return[this.char_logits,this.bpe_logits,this.wp_logits]}},i20=class extends s0{},tLQ=class extends i20{async _call(Q){return new c20(await super._call(Q))}},o20=class extends _7{constructor({audio_codes:Q}){super();this.audio_codes=Q}},n20=class extends _7{constructor({audio_values:Q}){super();this.audio_values=Q}},mR=class extends s0{main_input_name="input_values";forward_params=["input_values"]},eLQ=class extends mR{async encode(Q){return new o20(await E6(this.sessions.encoder_model,Q))}async decode(Q){return new n20(await E6(this.sessions.decoder_model,Q))}},a20=class extends mR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"encoder_model"})}},s20=class extends mR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"decoder_model"})}},V70=class extends s0{},QOQ=class extends V70{},XOQ=class extends V70{},q70=class extends s0{},JOQ=class extends q70{},YOQ=class extends q70{},nF=class extends s0{},GOQ=class extends nF{},WOQ=class extends nF{async _call(Q){return new f7(await super._call(Q))}},HOQ=class extends nF{async _call(Q){return new T8(await super._call(Q))}},BOQ=class extends nF{async _call(Q){return new eX(await super._call(Q))}},U70=class extends s0{},AOQ=class extends U70{},KOQ=class extends U70{},uR=class extends s0{},zOQ=class extends uR{},VOQ=class extends uR{async _call(Q){return new T8(await super._call(Q))}},qOQ=class extends uR{},pR=class extends s0{},UOQ=class extends pR{},$OQ=class extends pR{async _call(Q){return new T8(await super._call(Q))}},ZOQ=class extends pR{},lR=class extends s0{},FOQ=class extends lR{},DOQ=class extends lR{async _call(Q){return new T8(await super._call(Q))}},MOQ=class extends lR{},dR=class extends s0{},LOQ=class extends dR{},OOQ=class extends dR{async _call(Q){return new T8(await super._call(Q))}},POQ=class extends dR{},$70=class extends s0{},NOQ=class extends $70{},jOQ=class extends $70{async _call(Q){return new T8(await super._call(Q))}},Z70=class extends s0{},COQ=class extends Z70{},IOQ=class extends Z70{async _call(Q){return new T8(await super._call(Q))}},aF=class extends s0{},ROQ=class extends aF{},wOQ=class extends aF{async _call(Q){return new f7(await super._call(Q))}},EOQ=class extends aF{async _call(Q){return new T8(await super._call(Q))}},SOQ=class extends aF{async _call(Q){return new R7(await super._call(Q))}},F70=class extends s0{},TOQ=class extends F70{},kOQ=class extends F70{},D70=class extends s0{requires_attention_mask=!1;main_input_name="input_values";forward_params=["input_values","decoder_input_ids","past_key_values"]},yOQ=class extends D70{},vOQ=class extends D70{},hV=class extends s0{},xOQ=class extends hV{},bOQ=class extends hV{async _call(Q){return new f7(await super._call(Q))}},gOQ=class extends hV{async _call(Q){return new T8(await super._call(Q))}},hOQ=class extends hV{async _call(Q){return new R7(await super._call(Q))}},_OQ=class extends hV{async _call(Q){return new eX(await super._call(Q))}},M70=class extends s0{},fOQ=class extends M70{},mOQ=class extends M70{},L70=class extends s0{},uOQ=class extends L70{},pOQ=class extends L70{},r20=class extends s0{},lOQ=class extends r20{forward_params=["input_ids","pixel_values","images_seq_mask","images_emb_mask","attention_mask","position_ids","past_key_values"];constructor(...Q){super(...Q);this._generation_mode="text"}async forward(Q){let J=this._generation_mode??"text",G;if(J==="text"||!Q.past_key_values){let F=this.sessions.prepare_inputs_embeds,D=JX(Q,F.inputNames);G=await E6(F,D)}else{let F=this.sessions.gen_img_embeds,D=JX({image_ids:Q.input_ids},F.inputNames);G=await E6(F,D)}let H={...Q,...G},K=await h5(this,H),z=this.sessions[J==="text"?"lm_head":"gen_head"];if(!z)throw Error(`Unable to find "${z}" generation head`);let q=await E6(z,JX(K,z.inputNames));return{...G,...K,...q}}prepare_inputs_for_generation(Q,J,G){let H=!!J.past_key_values;if(G.guidance_scale!==null&&G.guidance_scale>1)if(H)J.input_ids=T9([J.input_ids,J.input_ids],0);else J.input_ids=T9([J.input_ids,V90(J.input_ids,BigInt(G.pad_token_id))],0),J.attention_mask=T9([J.attention_mask,V90(J.attention_mask,0n)],0);if(H||!J.pixel_values)J.pixel_values=sX([0,0,3,384,384],1);if(H)J.images_seq_mask=new PQ("bool",[,].fill(!0).fill(!1,0,1),[1,1]),J.images_emb_mask=new PQ("bool",[].fill(!1),[1,1,0]);return J}async generate(Q){return this._generation_mode="text",super.generate(Q)}async generate_images(Q){this._generation_mode="image";let J=(Q.inputs??Q[this.main_input_name]).dims[1],H=(await super.generate(Q)).slice(null,[J,null]),K=this.sessions.image_decode,{decoded_image:z}=await E6(K,{generated_tokens:H}),q=z.add_(1).mul_(127.5).clamp_(0,255).to("uint8"),F=[];for(let D of q){let V=gG.fromTensor(D);F.push(V)}return F}},O70=class extends s0{},dOQ=class extends O70{},cOQ=class extends O70{},t20=class extends s0{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"];_apply_and_filter_by_delay_pattern_mask(Q){let[J,G]=Q.dims,H=this.config.decoder.num_codebooks,K=G-H,z=0;for(let D=0;D<Q.size;++D){if(Q.data[D]==this.config.decoder.pad_token_id)continue;let V=D%G,O=Math.floor(D/G)%H,P=V-O;if(P>0&&P<=K)Q.data[z++]=Q.data[D]}let q=Math.floor(J/H),F=z/(q*H);return new PQ(Q.type,Q.data.slice(0,z),[q,H,F])}prepare_inputs_for_generation(Q,J,G){let H=BigInt(this.config.decoder.pad_token_id),K=structuredClone(Q);for(let z=0;z<K.length;++z)for(let q=0;q<K[z].length;++q)if(z%this.config.decoder.num_codebooks>=q)K[z][q]=H;if(G.guidance_scale!==null&&G.guidance_scale>1)K=K.concat(K);return NR(this,K,J,G)}async generate(Q){let J=await super.generate(Q),G=this._apply_and_filter_by_delay_pattern_mask(J).unsqueeze_(0),{audio_values:H}=await E6(this.sessions.encodec_decode,{audio_codes:G});return H}},P70=class extends s0{},iOQ=class extends P70{},oOQ=class extends P70{},N70=class extends s0{},nOQ=class extends N70{},aOQ=class extends N70{},_V=class extends s0{},sOQ=class extends _V{},rOQ=class extends _V{async _call(Q){return new f7(await super._call(Q))}},tOQ=class extends _V{async _call(Q){return new T8(await super._call(Q))}},eOQ=class extends _V{async _call(Q){return new R7(await super._call(Q))}},QPQ=class extends _V{async _call(Q){return new eX(await super._call(Q))}},e20=class extends s0{},XPQ=class extends e20{},j70=class extends s0{},JPQ=class extends j70{},YPQ=class extends j70{},C70=class extends s0{},GPQ=class extends C70{},WPQ=class extends C70{},I70=class extends s0{},HPQ=class extends I70{},BPQ=class extends I70{},R70=class extends s0{},APQ=class extends R70{},KPQ=class extends R70{},w70=class extends s0{},zPQ=class extends w70{},VPQ=class extends w70{async _call(Q){return new T8(await super._call(Q))}},E70=class extends s0{},qPQ=class extends E70{},UPQ=class extends E70{},S70=class extends s0{},$PQ=class extends S70{},ZPQ=class extends S70{},T70=class extends s0{},FPQ=class extends T70{},DPQ=class extends T70{},k70=class extends s0{},MPQ=class extends k70{},LPQ=class extends k70{},OPQ=class extends _5{},QE0=class extends s0{},PPQ=class extends QE0{async _call(Q){return new VB(await super._call(Q))}},y70=class extends s0{},NPQ=class extends y70{},jPQ=class extends y70{},v70=class extends s0{},CPQ=class extends v70{},IPQ=class extends v70{},x70=class extends s0{},RPQ=class extends x70{},wPQ=class extends x70{},b70=class extends s0{},EPQ=class extends b70{},SPQ=class extends b70{},XE0=class extends s0{forward_params=["input_ids","inputs_embeds","attention_mask","position_ids","pixel_values","image_sizes","past_key_values"]},JE0=class extends XE0{async forward({input_ids:Q=null,attention_mask:J=null,pixel_values:G=null,image_sizes:H=null,position_ids:K=null,inputs_embeds:z=null,past_key_values:q=null,generation_config:F=null,logits_processor:D=null,...V}){if(!z){let P;if(G&&Q.dims[1]!==1){if(!H)throw Error("`image_sizes` must be provided when `pixel_values` is provided.");({image_features:P}=await E6(this.sessions.vision_encoder,{pixel_values:G,image_sizes:H}))}else{let N=this.config.normalized_config.hidden_size;P=new PQ("float32",[],[0,N])}({inputs_embeds:z}=await E6(this.sessions.prepare_inputs_embeds,{input_ids:Q,image_features:P}))}return await h5(this,{inputs_embeds:z,past_key_values:q,attention_mask:J,position_ids:K,generation_config:F,logits_processor:D},!1)}},g70=class extends s0{},TPQ=class extends g70{},kPQ=class extends g70{async _call(Q){return new T8(await super._call(Q))}},h70=class extends s0{},yPQ=class extends h70{},vPQ=class extends h70{async _call(Q){return new R7(await super._call(Q))}},_70=class extends s0{},xPQ=class extends _70{},bPQ=class extends _70{},f70=class extends s0{},gPQ=class extends f70{},hPQ=class extends f70{},m70=class extends s0{},_PQ=class extends m70{},fPQ=class extends m70{},u70=class extends s0{},mPQ=class extends u70{},uPQ=class extends u70{},p70=class extends s0{},pPQ=class extends p70{},lPQ=class extends p70{},l70=class extends p10{},YE0=class extends g20{},dPQ=class extends l70{},cPQ=class extends YE0{},d70=class extends l70{},GE0=class extends d70{},iPQ=class extends d70{},oPQ=class extends GE0{},c70=class extends s0{},nPQ=class extends c70{},aPQ=class extends c70{async _call(Q){return new T8(await super._call(Q))}},i70=class extends s0{},sPQ=class extends i70{},rPQ=class extends i70{async _call(Q){return new WE0(await super._call(Q))}},WE0=class extends dF{},fV=class extends s0{},tPQ=class extends fV{},ePQ=class extends fV{async _call(Q){return new f7(await super._call(Q))}},QNQ=class extends fV{async _call(Q){return new T8(await super._call(Q))}},XNQ=class extends fV{async _call(Q){return new R7(await super._call(Q))}},JNQ=class extends fV{async _call(Q){return new eX(await super._call(Q))}},mV=class extends s0{},YNQ=class extends mV{},GNQ=class extends mV{async _call(Q){return new f7(await super._call(Q))}},WNQ=class extends mV{async _call(Q){return new T8(await super._call(Q))}},HNQ=class extends mV{async _call(Q){return new R7(await super._call(Q))}},BNQ=class extends mV{async _call(Q){return new eX(await super._call(Q))}},o70=class extends s0{},ANQ=class extends o70{},KNQ=class extends o70{async _call(Q){return new HE0(await super._call(Q))}},HE0=class extends dF{},BE0=class extends _7{constructor({iou_scores:Q,pred_masks:J}){super();this.iou_scores=Q,this.pred_masks=J}},AE0=class extends s0{},zNQ=class extends AE0{async get_image_embeddings({pixel_values:Q}){return await FH(this,{pixel_values:Q})}async forward(Q){if(!Q.image_embeddings||!Q.image_positional_embeddings)Q={...Q,...await this.get_image_embeddings(Q)};else Q={...Q};Q.input_labels??=oJ(Q.input_points.dims.slice(0,-1));let J={image_embeddings:Q.image_embeddings,image_positional_embeddings:Q.image_positional_embeddings};if(Q.input_points)J.input_points=Q.input_points;if(Q.input_labels)J.input_labels=Q.input_labels;if(Q.input_boxes)J.input_boxes=Q.input_boxes;return await E6(this.sessions.prompt_encoder_mask_decoder,J)}async _call(Q){return new BE0(await super._call(Q))}},KE0=class extends _7{constructor({iou_scores:Q,pred_masks:J,object_score_logits:G}){super();this.iou_scores=Q,this.pred_masks=J,this.object_score_logits=G}},zE0=class extends s0{},n70=class extends zE0{async get_image_embeddings({pixel_values:Q}){return await FH(this,{pixel_values:Q})}async forward(Q){let{num_feature_levels:J}=this.config.vision_config;if(Array.from({length:J},(z,q)=>`image_embeddings.${q}`).some((z)=>!Q[z]))Q={...Q,...await this.get_image_embeddings(Q)};else Q={...Q};if(Q.input_points){if(Q.input_boxes&&Q.input_boxes.dims[1]!==1)throw Error("When both `input_points` and `input_boxes` are provided, the number of boxes per image must be 1.");let z=Q.input_points.dims;Q.input_labels??=oJ(z.slice(0,-1)),Q.input_boxes??=sX([z[0],0,4],0)}else if(Q.input_boxes){let z=Q.input_boxes.dims;Q.input_labels=sX([z[0],z[1],0],-1n),Q.input_points=sX([z[0],1,0,2],0)}else throw Error("At least one of `input_points` or `input_boxes` must be provided.");let H=this.sessions.prompt_encoder_mask_decoder,K=JX(Q,H.inputNames);return await E6(H,K)}async _call(Q){return new KE0(await super._call(Q))}},VNQ=class extends n70{},qNQ=class extends n70{},cR=class extends s0{},UNQ=class extends cR{},$NQ=class extends cR{},ZNQ=class extends cR{},iR=class extends s0{},FNQ=class extends iR{},DNQ=class extends iR{},MNQ=class extends iR{},a70=class extends s0{},LNQ=class extends a70{},VE0=class extends a70{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"text_model"})}},ONQ=class extends qB{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"vision_model"})}},s70=class extends s0{},PNQ=class extends s70{},NNQ=class extends s70{},jNQ=class extends m20{},oR=class extends s0{main_input_name="input_values";forward_params=["input_values"]},CNQ=class extends oR{async encode(Q){return await E6(this.sessions.encoder_model,Q)}async decode(Q){return await E6(this.sessions.decoder_model,Q)}},qE0=class extends oR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"encoder_model"})}},UE0=class extends oR{static async from_pretrained(Q,J={}){return super.from_pretrained(Q,{...J,model_file_name:J.model_file_name??"decoder_model"})}},r70=class extends s0{},INQ=class extends r70{},RNQ=class extends r70{},nR=class extends s0{},wNQ=class extends nR{},ENQ=class extends nR{},SNQ=class extends nR{async generate_speech(Q,J,{threshold:G=0.5,minlenratio:H=0,maxlenratio:K=20,vocoder:z=null}={}){let q={input_ids:Q},{encoder_outputs:F,encoder_attention_mask:D}=await FH(this,q),V=F.dims[1]/this.config.reduction_factor,O=Math.floor(V*K),P=Math.floor(V*H),N=this.config.num_mel_bins,I=[],R=null,w=null,E=0;while(!0){++E;let x=W20(!!w),b;if(w)b=w.output_sequence_out;else b=new PQ("float32",new Float32Array(N),[1,1,N]);let g={use_cache_branch:x,output_sequence:b,encoder_attention_mask:D,speaker_embeddings:J,encoder_hidden_states:F};G10(this,g,R),w=await E6(this.sessions.decoder_model_merged,g),R=F90(w,R);let{prob:l,spectrum:_}=w;if(I.push(_),E>=P&&(Array.from(l.data).filter((a)=>a>=G).length>0||E>=O))break}let T=T9(I),{waveform:y}=await E6(z.sessions.model,{spectrogram:T});return{spectrogram:T,waveform:y}}},TNQ=class extends s0{main_input_name="spectrogram"},sF=class extends s0{},kNQ=class extends sF{},yNQ=class extends sF{async _call(Q){return new f7(await super._call(Q))}},vNQ=class extends sF{async _call(Q){return new T8(await super._call(Q))}},xNQ=class extends sF{async _call(Q){return new eX(await super._call(Q))}},t70=class extends s0{},bNQ=class extends t70{},gNQ=class extends t70{},e70=class extends s0{},hNQ=class extends e70{},_NQ=class extends e70{},$E0=class extends s0{},fNQ=class extends $E0{},ZE0=class extends s0{},FE0=class extends ZE0{async generate_speech({input_ids:Q,attention_mask:J,style:G,num_inference_steps:H=5,speed:K=1.05}){let{sampling_rate:z,chunk_compress_factor:q,base_chunk_size:F,latent_dim:D}=this.config,{last_hidden_state:V,durations:O}=await E6(this.sessions.text_encoder,{input_ids:Q,attention_mask:J,style:G}),P=O.div(K).mul_(z),N=F*q,I=P.data,R=Int32Array.from(I,(r)=>Math.ceil(r/N)),w=Math.max(...R),E=Q.dims[0],T=new BigInt64Array(E*w);for(let r=0;r<E;++r)T.fill(1n,r*w,r*w+R[r]);let y=new PQ("int64",T,[E,w]),x=D*q,b=x*w,g=$qQ([E,x,w]),l=g.data;for(let r=0;r<E;++r){if(R[r]===w)continue;for(let f0=0;f0<x;++f0)l.fill(0,r*b+f0*w+R[r],r*b+(f0+1)*w)}let _=sX([E],H);for(let r=0;r<H;++r){let f0=sX([E],r);({denoised_latents:g}=await E6(this.sessions.latent_denoiser,{style:G,noisy_latents:g,latent_mask:y,encoder_outputs:V,attention_mask:J,timestep:f0,num_inference_steps:_}))}let{waveform:a}=await E6(this.sessions.voice_decoder,{latents:g});return{waveform:a,durations:P}}},aR=class extends s0{},mNQ=class extends aR{},uNQ=class extends aR{async _call(Q){return new T8(await super._call(Q))}},pNQ=class extends aR{},QX0=class extends s0{},lNQ=class extends QX0{},dNQ=class extends QX0{},XX0=class extends s0{forward_params=["input_ids","attention_mask","encoder_outputs","decoder_input_ids","decoder_attention_mask","past_key_values"]},cNQ=class extends XX0{},iNQ=class extends XX0{},JX0=class extends s0{},oNQ=class extends JX0{},nNQ=class extends JX0{async _call(Q){return new DE0(await super._call(Q))}},DE0=class extends R10{},ME0=class extends s0{},aNQ=class extends ME0{},sR=class extends s0{},sNQ=class extends sR{},rNQ=class extends sR{async _call(Q){return new VB(await super._call(Q))}},tNQ=class extends sR{async _call(Q){return new T8(await super._call(Q))}},rF=class extends s0{},eNQ=class extends rF{},QjQ=class extends rF{async _call(Q){return new VB(await super._call(Q))}},XjQ=class extends rF{async _call(Q){return new T8(await super._call(Q))}},JjQ=class extends rF{async _call(Q){return new R7(await super._call(Q))}},YX0=class extends s0{},YjQ=class extends YX0{},GjQ=class extends YX0{},WjQ=class extends s0{main_input_name="pixel_values";forward_params=["pixel_values","decoder_input_ids","encoder_hidden_states","past_key_values"]},GX0=class extends s0{},HjQ=class extends GX0{},BjQ=class extends GX0{async _call(Q){return new T8(await super._call(Q))}},LE0=class extends s0{},AjQ=class extends LE0{},WX0=class extends s0{},KjQ=class extends WX0{},zjQ=class extends WX0{async _call(Q){return new T8(await super._call(Q))}},OE0=class extends s0{},VjQ=class extends OE0{async _call(Q){return new gZQ(await super._call(Q))}},PE0=class extends s0{},qjQ=class extends PE0{},NE0=class extends _7{constructor({waveform:Q,spectrogram:J}){super();this.waveform=Q,this.spectrogram=J}},jE0=class extends s0{},UjQ=class extends jE0{async _call(Q){return new NE0(await super._call(Q))}},$jQ=class extends t10{},EI0=2,ZjQ=1,Q90=new WeakMap;function FjQ(Q,J){let{text_config:G,audio_config:H}=Q.config,K=Q.sessions.audio_encoder,{num_mel_bins:z,hidden_size:q}=H,F=z+q,D=new J10,V=kR(H),O={batch_size:1},P="float32";for(let w of K.inputMetadata){if(w.name==="past_padding_cache"){P=w.type;continue}if(!V.has(w.name))continue;let E=H20(w.shape,O),T=E.reduce((x,b)=>x*b,1),y=gF[w.type];D[w.name]=new PQ(w.type,new y(T),E)}let N=gF[P],I=new PQ(P,new N(F*EI0),[1,F,EI0]),R=J[Symbol.asyncIterator]?.()??J[Symbol.iterator]?.();if(!R)throw Error("input_features must be iterable or async iterable");return{encoder_session:K,enc_kv_cache:D,enc_padding_cache:I,enc_past_seq_len:0,audio_embed_queue:[],audio_embed_total_tokens:0,audio_queue_offset:0,audio_consumed:0,stream_exhausted:!1,chunks_iter:R,text_hidden_size:G.hidden_size}}async function DjQ(Q,J){let G=J.dims[2],H=Math.floor((ZjQ+G-3)/2)+1,K=new PQ("int64",BigInt64Array.from({length:H},(O,P)=>BigInt(Q.enc_past_seq_len+P)),[1,H]),z=Q.enc_past_seq_len+H,q=oJ([1,z]),{audio_embeds:F,present_padding_cache:D,...V}=await E6(Q.encoder_session,{input_features:J,attention_mask:q,position_ids:K,past_padding_cache:Q.enc_padding_cache,...Q.enc_kv_cache});if(Q.enc_padding_cache.location==="gpu-buffer")Q.enc_padding_cache.dispose();Q.enc_padding_cache=D;for(let O in V)if(O.startsWith("present.")){let P=O.replace("present","past_key_values"),N=Q.enc_kv_cache[P];if(N?.location==="gpu-buffer")N.dispose();Q.enc_kv_cache[P]=V[O]}return Q.enc_past_seq_len=z,F}async function MjQ(Q,J){while(Q.audio_embed_total_tokens<J&&!Q.stream_exhausted){let G=await Q.chunks_iter.next();if(G.done){Q.stream_exhausted=!0;break}let H=await DjQ(Q,G.value);Q.audio_embed_queue.push({data:H.data,tokens:H.dims[1]}),Q.audio_embed_total_tokens+=H.dims[1]}}function LjQ(Q,J,G){if(Q.audio_embed_queue.length===0)return;let H=J.data,K=0,z=G;while(z>0&&Q.audio_embed_queue.length>0){let q=Q.audio_embed_queue[0],F=q.tokens-Q.audio_queue_offset,D=Math.min(z,F),V=Q.audio_queue_offset*Q.text_hidden_size;for(let O=0;O<D*Q.text_hidden_size;++O)H[K*Q.text_hidden_size+O]+=q.data[V+O];if(K+=D,z-=D,Q.audio_queue_offset+=D,Q.audio_queue_offset>=q.tokens)Q.audio_embed_queue.shift(),Q.audio_queue_offset=0}Q.audio_consumed+=G-z}var OjQ=class extends yR{constructor(Q){super();this._s=Q}_call(Q){let J=this._s.stream_exhausted&&this._s.audio_embed_queue.length===0;return Q.map(()=>J)}},CE0=class extends s0{forward_params=["input_ids","attention_mask","position_ids","past_key_values"]},IE0=class extends CE0{async forward({input_ids:Q,past_key_values:J,...G}){let H=Q.dims[1],K=Q90.get(this);if(K)await MjQ(K,K.audio_consumed+H);let{inputs_embeds:z}=await E6(this.sessions.embed_tokens,{input_ids:Q});if(K)LjQ(K,z,H);let q={inputs_embeds:z,...G};G10(this,q,J);let F=this.sessions.decoder_model_merged,D=JX(q,F.inputNames);return await E6(F,D)}async generate({input_features:Q,stopping_criteria:J,...G}){if(!Q)throw Error("input_features (generator/iterable) must be provided");let H=FjQ(this,Q);Q90.set(this,H);let K=new X20;if(K.push(new OjQ(H)),J)K.extend(J);try{return await super.generate({...G,stopping_criteria:K})}finally{H.enc_kv_cache.dispose(),Q90.delete(this)}}},rR=class extends s0{},PjQ=class extends rR{},NjQ=class extends rR{async _call(Q){return new VB(await super._call(Q))}},jjQ=class extends rR{async _call(Q){return new T8(await super._call(Q))}},RE0=class extends _7{constructor({logits:Q,embeddings:J}){super();this.logits=Q,this.embeddings=J}},uV=class extends s0{},CjQ=class extends uV{},IjQ=class extends uV{async _call(Q){return new VB(await super._call(Q))}},RjQ=class extends uV{async _call(Q){return new T8(await super._call(Q))}},wjQ=class extends uV{async _call(Q){return new RE0(await super._call(Q))}},EjQ=class extends uV{async _call(Q){return new R7(await super._call(Q))}},wE0=class extends s0{},SjQ=class extends wE0{},TjQ=class extends Q20{return_timestamps=null;return_token_timestamps=null;num_frames=null;alignment_heads=null;task=null;language=null;no_timestamps_token_id=null;prompt_ids=null;is_multilingual=null;lang_to_id=null;task_to_id=null;max_initial_timestamp_index=1},HX0=class extends s0{requires_attention_mask=!1;main_input_name="input_features";forward_params=["input_features","attention_mask","decoder_input_ids","decoder_attention_mask","past_key_values"]},kjQ=class extends HX0{},EE0=class extends HX0{_prepare_generation_config(Q,J){return super._prepare_generation_config(Q,J,TjQ)}_retrieve_init_tokens(Q){let J=[Q.decoder_start_token_id],G=Q.language,H=Q.task;if(Q.is_multilingual){if(!G)g8.warn("No language specified - defaulting to English (en)."),G="en";let z=`<|${KUQ(G)}|>`;J.push(Q.lang_to_id[z]),J.push(Q.task_to_id[H??"transcribe"])}else if(G||H)throw 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.");if(!Q.return_timestamps&&Q.no_timestamps_token_id&&J.at(-1)!==Q.no_timestamps_token_id)J.push(Q.no_timestamps_token_id);else if(Q.return_timestamps&&J.at(-1)===Q.no_timestamps_token_id)g8.warn("<|notimestamps|> prompt token is removed from generation_config since `return_timestamps` is set to `true`."),J.pop();return J.filter((K)=>K!=null)}async generate({inputs:Q=null,generation_config:J=null,logits_processor:G=null,stopping_criteria:H=null,...K}){J=this._prepare_generation_config(J,K);let z=K.decoder_input_ids instanceof PQ?o90(K.decoder_input_ids):K.decoder_input_ids??this._retrieve_init_tokens(J);if(J.return_timestamps)G??=new $90,G.push(new uZQ(J,z));if(J.begin_suppress_tokens)G??=new $90,G.push(new ew0(J.begin_suppress_tokens,z.length));if(J.return_token_timestamps){if(!J.alignment_heads)throw 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.");if(J.task==="translate")g8.warn("Token-level timestamps may not be reliable for task 'translate'.");J.output_attentions=!0,J.return_dict_in_generate=!0}if(J.return_timestamps&&!K.max_new_tokens)return this._generate_with_seek({inputs:Q,generation_config:J,logits_processor:G,init_tokens:z,kwargs:K});let q=await super.generate({inputs:Q,generation_config:J,logits_processor:G,decoder_input_ids:z,...K});if(J.return_token_timestamps)q.token_timestamps=this._extract_token_timestamps(q,J.alignment_heads,J.num_frames,0.02,z.length);return q}async _generate_with_seek({inputs:Q,generation_config:J,logits_processor:G,init_tokens:H,kwargs:K}){let z=J.no_timestamps_token_id+1,q=Array.isArray(J.eos_token_id)?J.eos_token_id[0]:J.eos_token_id,F=J.return_token_timestamps,D=Q,V=D.dims[2],O=2,N=2*this.config.max_source_positions,I=0,R=[],w=[];while(I<V){let T=Math.min(I+N,V),y=D.slice(null,null,[I,T]),x,b=y.dims[2];if(b<N){let c0=D.dims[1],WQ=new Float32Array(c0*N),R0=y.data;for(let l0=0;l0<c0;++l0)WQ.set(R0.subarray(l0*b,(l0+1)*b),l0*N);x=new PQ("float32",WQ,[1,c0,N])}else x=y;if(G){for(let c0 of G)if("begin_index"in c0)c0.begin_index=H.length}let g=await super.generate({inputs:x,generation_config:J,logits_processor:G,decoder_input_ids:H,...K}),_=(F?g.sequences:g)[0].tolist().map(Number).slice(H.length),a;if(F){g.token_timestamps=this._extract_token_timestamps(g,J.alignment_heads,Math.floor((T-I)/2),0.02,H.length);let c0=I/2*0.02;a=g.token_timestamps[0].tolist().slice(H.length).map((WQ)=>WQ+c0)}if(_.length>0&&_.at(-1)===q)_.pop();if(_.length===0)break;let r=_.map((c0)=>c0>=z),f0=_.length>=2&&r[_.length-1]&&!r[_.length-2],t=[];for(let c0=0;c0<_.length-1;++c0)if(r[c0]&&r[c0+1])t.push(c0+1);let p0,u0=_.length;if(t.length>0)if(f0)p0=T-I;else{let c0=t.at(-1);p0=(_[c0-1]-z)*2,u0=c0}else p0=T-I;let d=Math.floor(I/2),n=z+1500;for(let c0=0;c0<u0;++c0)if(_[c0]>=z)_[c0]=Math.min(_[c0]+d,n);if(R.push(..._.slice(0,u0)),a)w.push(...a.slice(0,u0));I+=p0}R.push(q);let E=[...H,...R];if(F){let T=new PQ("int64",E.map(BigInt),[1,E.length]),y=[...Array(H.length).fill(0),...w,0],x=new PQ("float32",new Float32Array(y),[1,y.length]);return{sequences:T,token_timestamps:x}}return new PQ("int64",E.map(BigInt),[1,E.length])}_extract_token_timestamps(Q,J,G=null,H=0.02,K=0){if(!Q.cross_attentions)throw Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");if(G==null)g8.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 z=this.config.median_filter_width;if(z===void 0)g8.warn("Model config has no `median_filter_width`, using default value of 7."),z=7;let q=Q.cross_attentions,F=Array.from({length:this.config.decoder_layers},(E,T)=>T9(q.map((y)=>y[T]),2)),D=g5(J.map(([E,T])=>{if(E>=F.length)throw Error(`Layer index ${E} is out of bounds for cross attentions (length ${F.length}).`);return G?F[E].slice(null,T,null,[0,G]):F[E].slice(null,T)})).transpose(1,0,2,3),[V,O]=UqQ(D,-2,0,!0),P=D.clone();for(let E=0;E<P.dims[0];++E){let T=P[E];for(let y=0;y<T.dims[0];++y){let x=T[y],b=V[E][y][0].data,g=O[E][y][0].data;for(let l=0;l<x.dims[0];++l){let _=x[l].data;for(let a=0;a<_.length;++a)_[a]=(_[a]-g[a])/b[a];_.set(OVQ(_,z))}}}let N=K>0?P.slice(null,null,[K,P.dims[2]],null):P,I=[c90(N,1)],R=Q.sequences.dims,w=new PQ("float32",new Float32Array(R[0]*R[1]),R);for(let E=0;E<R[0];++E){let T=I[E].neg().squeeze_(0),[y,x]=NVQ(T.tolist()),b=Array.from({length:y.length-1},(a,r)=>y[r+1]-y[r]),g=yW([1],b).map((a)=>!!a),l=[];for(let a=0;a<g.length;++a)if(g[a])l.push(x[a]*H);let _=Array(K).fill(0);if(_.push(...l),l.length>0)_.push(l.at(-1));w[E].data.set(_)}return w}},yjQ=class extends EE0{},pV=class extends s0{},vjQ=class extends pV{},xjQ=class extends pV{async _call(Q){return new f7(await super._call(Q))}},bjQ=class extends pV{async _call(Q){return new T8(await super._call(Q))}},gjQ=class extends pV{async _call(Q){return new R7(await super._call(Q))}},hjQ=class extends pV{async _call(Q){return new eX(await super._call(Q))}},lV=class extends s0{},_jQ=class extends lV{},fjQ=class extends lV{async _call(Q){return new f7(await super._call(Q))}},mjQ=class extends lV{async _call(Q){return new T8(await super._call(Q))}},ujQ=class extends lV{async _call(Q){return new R7(await super._call(Q))}},pjQ=class extends lV{async _call(Q){return new eX(await super._call(Q))}},BX0=class extends s0{},ljQ=class extends BX0{},djQ=class extends BX0{async _call(Q){return new SE0(await super._call(Q))}},SE0=class extends _7{constructor({logits:Q,pred_boxes:J}){super();this.logits=Q,this.pred_boxes=J}},AX0=class extends s0{},cjQ=class extends AX0{},ijQ=class extends AX0{},ojQ=new Map([["bert","BertModel"],["eurobert","EuroBertModel"],["neobert","NeoBertModel"],["modernbert","ModernBertModel"],["nomic_bert","NomicBertModel"],["roformer","RoFormerModel"],["electra","ElectraModel"],["esm","EsmModel"],["convbert","ConvBertModel"],["camembert","CamembertModel"],["deberta","DebertaModel"],["deberta-v2","DebertaV2Model"],["mpnet","MPNetModel"],["albert","AlbertModel"],["distilbert","DistilBertModel"],["roberta","RobertaModel"],["xlm","XLMModel"],["xlm-roberta","XLMRobertaModel"],["clap","ClapModel"],["clip","CLIPModel"],["clipseg","CLIPSegModel"],["chinese_clip","ChineseCLIPModel"],["siglip","SiglipModel"],["jina_clip","JinaCLIPModel"],["mobilebert","MobileBertModel"],["squeezebert","SqueezeBertModel"],["wav2vec2","Wav2Vec2Model"],["wav2vec2-bert","Wav2Vec2BertModel"],["unispeech","UniSpeechModel"],["unispeech-sat","UniSpeechSatModel"],["hubert","HubertModel"],["wavlm","WavLMModel"],["audio-spectrogram-transformer","ASTModel"],["vits","VitsModel"],["pyannote","PyAnnoteModel"],["wespeaker-resnet","WeSpeakerResNetModel"],["detr","DetrModel"],["rt_detr","RTDetrModel"],["rt_detr_v2","RTDetrV2Model"],["rf_detr","RFDetrModel"],["d_fine","DFineModel"],["table-transformer","TableTransformerModel"],["vit","ViTModel"],["ijepa","IJepaModel"],["pvt","PvtModel"],["vit_msn","ViTMSNModel"],["vit_mae","ViTMAEModel"],["groupvit","GroupViTModel"],["fastvit","FastViTModel"],["mobilevit","MobileViTModel"],["mobilevitv2","MobileViTV2Model"],["owlvit","OwlViTModel"],["owlv2","Owlv2Model"],["beit","BeitModel"],["deit","DeiTModel"],["hiera","HieraModel"],["convnext","ConvNextModel"],["convnextv2","ConvNextV2Model"],["dinov2","Dinov2Model"],["dinov2_with_registers","Dinov2WithRegistersModel"],["dinov3_vit","DINOv3ViTModel"],["dinov3_convnext","DINOv3ConvNextModel"],["resnet","ResNetModel"],["swin","SwinModel"],["swin2sr","Swin2SRModel"],["donut-swin","DonutSwinModel"],["yolos","YolosModel"],["dpt","DPTModel"],["glpn","GLPNModel"],["hifigan","SpeechT5HifiGan"],["efficientnet","EfficientNetModel"],["decision_transformer","DecisionTransformerModel"],["patchtst","PatchTSTModel"],["patchtsmixer","PatchTSMixerModel"],["mobilenet_v1","MobileNetV1Model"],["mobilenet_v2","MobileNetV2Model"],["mobilenet_v3","MobileNetV3Model"],["mobilenet_v4","MobileNetV4Model"],["maskformer","MaskFormerModel"],["mgp-str","MgpstrForSceneTextRecognition"],["style_text_to_speech_2","StyleTextToSpeech2Model"],["openai_privacy_filter","OpenAIPrivacyFilterModel"]]),njQ=new Map([["t5","T5Model"],["longt5","LongT5Model"],["mt5","MT5Model"],["bart","BartModel"],["mbart","MBartModel"],["marian","MarianModel"],["whisper","WhisperModel"],["cohere_asr","CohereAsrModel"],["m2m_100","M2M100Model"],["blenderbot","BlenderbotModel"],["blenderbot-small","BlenderbotSmallModel"]]),ajQ=new Map([["mimi","MimiModel"],["dac","DacModel"],["snac","SnacModel"]]),sjQ=new Map([["bloom","BloomModel"],["jais","JAISModel"],["gpt2","GPT2Model"],["gpt_oss","GptOssModel"],["gptj","GPTJModel"],["gpt_bigcode","GPTBigCodeModel"],["gpt_neo","GPTNeoModel"],["gpt_neox","GPTNeoXModel"],["codegen","CodeGenModel"],["llama","LlamaModel"],["apertus","ApertusModel"],["nanochat","NanoChatModel"],["arcee","ArceeModel"],["afmoe","AfmoeModel"],["lfm2","Lfm2Model"],["lfm2_moe","Lfm2MoeModel"],["smollm3","SmolLM3Model"],["exaone","ExaoneModel"],["olmo","OlmoModel"],["olmo2","Olmo2Model"],["olmo3","Olmo3Model"],["olmo_hybrid","OlmoHybridModel"],["mobilellm","MobileLLMModel"],["granite","GraniteModel"],["granitemoehybrid","GraniteMoeHybridModel"],["cohere","CohereModel"],["cohere2","Cohere2Model"],["gemma","GemmaModel"],["gemma2","Gemma2Model"],["vaultgemma","VaultGemmaModel"],["gemma3_text","Gemma3Model"],["helium","HeliumModel"],["glm","GlmModel"],["glm_moe_dsa","GlmMoeDsaModel"],["openelm","OpenELMModel"],["qwen2","Qwen2Model"],["qwen2_moe","Qwen2MoeModel"],["qwen3","Qwen3Model"],["qwen3_moe","Qwen3MoeModel"],["qwen3_next","Qwen3NextModel"],["phi","PhiModel"],["phi3","Phi3Model"],["mpt","MptModel"],["opt","OPTModel"],["mistral","MistralModel"],["mistral4","Mistral4Model"],["ministral","MinistralModel"],["ministral3","Ministral3Model"],["ernie4_5","Ernie4_5ForCausalLM"],["starcoder2","Starcoder2Model"],["deepseek_v3","DeepseekV3Model"],["falcon","FalconModel"],["falcon_h1","FalconH1Model"],["nemotron_h","NemotronHModel"],["solar_open","SolarOpenModel"],["stablelm","StableLmModel"],["modernbert-decoder","ModernBertDecoderModel"],["hunyuan_v1_dense","HunYuanDenseV1Model"],["youtu","YoutuModel"]]),TE0=new Map([["speecht5","SpeechT5ForSpeechToText"],["whisper","WhisperForConditionalGeneration"],["lite-whisper","LiteWhisperForConditionalGeneration"],["moonshine","MoonshineForConditionalGeneration"],["cohere_asr","CohereAsrForConditionalGeneration"]]),kE0=new Map([["speecht5","SpeechT5ForTextToSpeech"]]),yE0=new Map([["vits","VitsModel"],["musicgen","MusicgenForConditionalGeneration"],["supertonic","SupertonicForConditionalGeneration"]]),vE0=new Map([["bert","BertForSequenceClassification"],["eurobert","EuroBertForSequenceClassification"],["neobert","NeoBertForSequenceClassification"],["modernbert","ModernBertForSequenceClassification"],["roformer","RoFormerForSequenceClassification"],["electra","ElectraForSequenceClassification"],["esm","EsmForSequenceClassification"],["convbert","ConvBertForSequenceClassification"],["camembert","CamembertForSequenceClassification"],["deberta","DebertaForSequenceClassification"],["deberta-v2","DebertaV2ForSequenceClassification"],["mpnet","MPNetForSequenceClassification"],["albert","AlbertForSequenceClassification"],["distilbert","DistilBertForSequenceClassification"],["roberta","RobertaForSequenceClassification"],["xlm","XLMForSequenceClassification"],["xlm-roberta","XLMRobertaForSequenceClassification"],["bart","BartForSequenceClassification"],["mbart","MBartForSequenceClassification"],["mobilebert","MobileBertForSequenceClassification"],["squeezebert","SqueezeBertForSequenceClassification"]]),xE0=new Map([["bert","BertForTokenClassification"],["eurobert","EuroBertForTokenClassification"],["neobert","NeoBertForTokenClassification"],["modernbert","ModernBertForTokenClassification"],["roformer","RoFormerForTokenClassification"],["electra","ElectraForTokenClassification"],["esm","EsmForTokenClassification"],["convbert","ConvBertForTokenClassification"],["camembert","CamembertForTokenClassification"],["deberta","DebertaForTokenClassification"],["deberta-v2","DebertaV2ForTokenClassification"],["mpnet","MPNetForTokenClassification"],["distilbert","DistilBertForTokenClassification"],["roberta","RobertaForTokenClassification"],["xlm","XLMForTokenClassification"],["xlm-roberta","XLMRobertaForTokenClassification"],["openai_privacy_filter","OpenAIPrivacyFilterForTokenClassification"]]),bE0=new Map([["t5","T5ForConditionalGeneration"],["longt5","LongT5ForConditionalGeneration"],["mt5","MT5ForConditionalGeneration"],["bart","BartForConditionalGeneration"],["mbart","MBartForConditionalGeneration"],["marian","MarianMTModel"],["m2m_100","M2M100ForConditionalGeneration"],["blenderbot","BlenderbotForConditionalGeneration"],["blenderbot-small","BlenderbotSmallForConditionalGeneration"]]),gE0=new Map([["bloom","BloomForCausalLM"],["gpt2","GPT2LMHeadModel"],["gpt_oss","GptOssForCausalLM"],["jais","JAISLMHeadModel"],["gptj","GPTJForCausalLM"],["gpt_bigcode","GPTBigCodeForCausalLM"],["gpt_neo","GPTNeoForCausalLM"],["gpt_neox","GPTNeoXForCausalLM"],["codegen","CodeGenForCausalLM"],["llama","LlamaForCausalLM"],["nanochat","NanoChatForCausalLM"],["apertus","ApertusForCausalLM"],["llama4_text","Llama4ForCausalLM"],["arcee","ArceeForCausalLM"],["afmoe","AfmoeForCausalLM"],["lfm2","Lfm2ForCausalLM"],["lfm2_moe","Lfm2MoeForCausalLM"],["smollm3","SmolLM3ForCausalLM"],["exaone","ExaoneForCausalLM"],["olmo","OlmoForCausalLM"],["olmo2","Olmo2ForCausalLM"],["olmo3","Olmo3ForCausalLM"],["olmo_hybrid","OlmoHybridForCausalLM"],["mobilellm","MobileLLMForCausalLM"],["granite","GraniteForCausalLM"],["granitemoehybrid","GraniteMoeHybridForCausalLM"],["cohere","CohereForCausalLM"],["cohere2","Cohere2ForCausalLM"],["gemma","GemmaForCausalLM"],["gemma2","Gemma2ForCausalLM"],["vaultgemma","VaultGemmaForCausalLM"],["gemma3_text","Gemma3ForCausalLM"],["gemma3","Gemma3ForCausalLM"],["helium","HeliumForCausalLM"],["glm","GlmForCausalLM"],["glm_moe_dsa","GlmMoeDsaForCausalLM"],["openelm","OpenELMForCausalLM"],["qwen2","Qwen2ForCausalLM"],["qwen2_moe","Qwen2MoeForCausalLM"],["qwen3","Qwen3ForCausalLM"],["qwen3_moe","Qwen3MoeForCausalLM"],["qwen3_next","Qwen3NextForCausalLM"],["qwen2_vl","Qwen2VLForCausalLM"],["qwen2_5_vl","Qwen2_5_VLForCausalLM"],["qwen3_vl","Qwen3VLForCausalLM"],["qwen3_vl_moe","Qwen3VLMoeForCausalLM"],["qwen3_5","Qwen3_5ForCausalLM"],["qwen3_5_text","Qwen3_5ForCausalLM"],["qwen3_5_moe","Qwen3_5MoeForCausalLM"],["gemma3n","Gemma3nForCausalLM"],["gemma4","Gemma4ForCausalLM"],["phi","PhiForCausalLM"],["phi3","Phi3ForCausalLM"],["mpt","MptForCausalLM"],["opt","OPTForCausalLM"],["mbart","MBartForCausalLM"],["mistral","MistralForCausalLM"],["mistral4","Mistral4ForCausalLM"],["ministral","MinistralForCausalLM"],["ministral3","Ministral3ForCausalLM"],["ernie4_5","Ernie4_5ForCausalLM"],["starcoder2","Starcoder2ForCausalLM"],["deepseek_v3","DeepseekV3ForCausalLM"],["falcon","FalconForCausalLM"],["falcon_h1","FalconH1ForCausalLM"],["nemotron_h","NemotronHForCausalLM"],["trocr","TrOCRForCausalLM"],["solar_open","SolarOpenForCausalLM"],["stablelm","StableLmForCausalLM"],["modernbert-decoder","ModernBertDecoderForCausalLM"],["hunyuan_v1_dense","HunYuanDenseV1ForCausalLM"],["youtu","YoutuForCausalLM"],["phi3_v","Phi3VForCausalLM"]]),rjQ=new Map([["multi_modality","MultiModalityCausalLM"]]),hE0=new Map([["bert","BertForMaskedLM"],["eurobert","EuroBertForMaskedLM"],["neobert","NeoBertForMaskedLM"],["modernbert","ModernBertForMaskedLM"],["roformer","RoFormerForMaskedLM"],["electra","ElectraForMaskedLM"],["esm","EsmForMaskedLM"],["convbert","ConvBertForMaskedLM"],["camembert","CamembertForMaskedLM"],["deberta","DebertaForMaskedLM"],["deberta-v2","DebertaV2ForMaskedLM"],["mpnet","MPNetForMaskedLM"],["albert","AlbertForMaskedLM"],["distilbert","DistilBertForMaskedLM"],["roberta","RobertaForMaskedLM"],["xlm","XLMWithLMHeadModel"],["xlm-roberta","XLMRobertaForMaskedLM"],["mobilebert","MobileBertForMaskedLM"],["squeezebert","SqueezeBertForMaskedLM"]]),_E0=new Map([["bert","BertForQuestionAnswering"],["neobert","NeoBertForQuestionAnswering"],["roformer","RoFormerForQuestionAnswering"],["electra","ElectraForQuestionAnswering"],["convbert","ConvBertForQuestionAnswering"],["camembert","CamembertForQuestionAnswering"],["deberta","DebertaForQuestionAnswering"],["deberta-v2","DebertaV2ForQuestionAnswering"],["mpnet","MPNetForQuestionAnswering"],["albert","AlbertForQuestionAnswering"],["distilbert","DistilBertForQuestionAnswering"],["roberta","RobertaForQuestionAnswering"],["xlm","XLMForQuestionAnswering"],["xlm-roberta","XLMRobertaForQuestionAnswering"],["mobilebert","MobileBertForQuestionAnswering"],["squeezebert","SqueezeBertForQuestionAnswering"]]),fE0=new Map([["vision-encoder-decoder","VisionEncoderDecoderModel"],["idefics3","Idefics3ForConditionalGeneration"],["smolvlm","SmolVLMForConditionalGeneration"]]),mE0=new Map([["llava","LlavaForConditionalGeneration"],["llava_onevision","LlavaOnevisionForConditionalGeneration"],["moondream1","Moondream1ForConditionalGeneration"],["florence2","Florence2ForConditionalGeneration"],["qwen2_vl","Qwen2VLForConditionalGeneration"],["qwen2_5_vl","Qwen2_5_VLForConditionalGeneration"],["qwen3_vl","Qwen3VLForConditionalGeneration"],["qwen3_vl_moe","Qwen3VLMoeForConditionalGeneration"],["qwen3_5","Qwen3_5ForConditionalGeneration"],["qwen3_5_moe","Qwen3_5MoeForConditionalGeneration"],["lfm2_vl","Lfm2VlForConditionalGeneration"],["idefics3","Idefics3ForConditionalGeneration"],["smolvlm","SmolVLMForConditionalGeneration"],["paligemma","PaliGemmaForConditionalGeneration"],["llava_qwen2","LlavaQwen2ForCausalLM"],["gemma3","Gemma3ForConditionalGeneration"],["gemma3n","Gemma3nForConditionalGeneration"],["gemma4","Gemma4ForConditionalGeneration"],["mistral3","Mistral3ForConditionalGeneration"],["lighton_ocr","LightOnOcrForConditionalGeneration"],["glm_ocr","GlmOcrForConditionalGeneration"]]),uE0=new Map([["granite_speech","GraniteSpeechForConditionalGeneration"],["ultravox","UltravoxModel"],["voxtral","VoxtralForConditionalGeneration"],["voxtral_realtime","VoxtralRealtimeForConditionalGeneration"]]),tjQ=new Map([["vision-encoder-decoder","VisionEncoderDecoderModel"]]),pE0=new Map([["vit","ViTForImageClassification"],["ijepa","IJepaForImageClassification"],["pvt","PvtForImageClassification"],["vit_msn","ViTMSNForImageClassification"],["fastvit","FastViTForImageClassification"],["mobilevit","MobileViTForImageClassification"],["mobilevitv2","MobileViTV2ForImageClassification"],["beit","BeitForImageClassification"],["deit","DeiTForImageClassification"],["hiera","HieraForImageClassification"],["convnext","ConvNextForImageClassification"],["convnextv2","ConvNextV2ForImageClassification"],["dinov2","Dinov2ForImageClassification"],["dinov2_with_registers","Dinov2WithRegistersForImageClassification"],["resnet","ResNetForImageClassification"],["swin","SwinForImageClassification"],["segformer","SegformerForImageClassification"],["efficientnet","EfficientNetForImageClassification"],["mobilenet_v1","MobileNetV1ForImageClassification"],["mobilenet_v2","MobileNetV2ForImageClassification"],["mobilenet_v3","MobileNetV3ForImageClassification"],["mobilenet_v4","MobileNetV4ForImageClassification"]]),lE0=new Map([["detr","DetrForObjectDetection"],["rt_detr","RTDetrForObjectDetection"],["rt_detr_v2","RTDetrV2ForObjectDetection"],["rf_detr","RFDetrForObjectDetection"],["d_fine","DFineForObjectDetection"],["table-transformer","TableTransformerForObjectDetection"],["yolos","YolosForObjectDetection"]]),dE0=new Map([["owlvit","OwlViTForObjectDetection"],["owlv2","Owlv2ForObjectDetection"],["grounding-dino","GroundingDinoForObjectDetection"]]),LV=new Map([["detr","DetrForSegmentation"],["clipseg","CLIPSegForImageSegmentation"]]),cE0=new Map([["segformer","SegformerForSemanticSegmentation"],["sapiens","SapiensForSemanticSegmentation"],["swin","SwinForSemanticSegmentation"],["mobilenet_v1","MobileNetV1ForSemanticSegmentation"],["mobilenet_v2","MobileNetV2ForSemanticSegmentation"],["mobilenet_v3","MobileNetV3ForSemanticSegmentation"],["mobilenet_v4","MobileNetV4ForSemanticSegmentation"]]),iE0=new Map([["detr","DetrForSegmentation"],["maskformer","MaskFormerForInstanceSegmentation"]]),oE0=new Map([["sam","SamModel"],["sam2","Sam2Model"],["edgetam","EdgeTamModel"],["sam3_tracker","Sam3TrackerModel"]]),nE0=new Map([["wav2vec2","Wav2Vec2ForCTC"],["wav2vec2-bert","Wav2Vec2BertForCTC"],["unispeech","UniSpeechForCTC"],["unispeech-sat","UniSpeechSatForCTC"],["wavlm","WavLMForCTC"],["hubert","HubertForCTC"],["parakeet_ctc","ParakeetForCTC"]]),aE0=new Map([["wav2vec2","Wav2Vec2ForSequenceClassification"],["wav2vec2-bert","Wav2Vec2BertForSequenceClassification"],["unispeech","UniSpeechForSequenceClassification"],["unispeech-sat","UniSpeechSatForSequenceClassification"],["wavlm","WavLMForSequenceClassification"],["hubert","HubertForSequenceClassification"],["audio-spectrogram-transformer","ASTForAudioClassification"]]),sE0=new Map([["wavlm","WavLMForXVector"]]),rE0=new Map([["unispeech-sat","UniSpeechSatForAudioFrameClassification"],["wavlm","WavLMForAudioFrameClassification"],["wav2vec2","Wav2Vec2ForAudioFrameClassification"],["pyannote","PyAnnoteForAudioFrameClassification"]]),tE0=new Map([["vitmatte","VitMatteForImageMatting"]]),ejQ=new Map([["patchtst","PatchTSTForPrediction"],["patchtsmixer","PatchTSMixerForPrediction"]]),eE0=new Map([["swin2sr","Swin2SRForImageSuperResolution"]]),QS0=new Map([["chmv2","CHMv2ForDepthEstimation"],["dpt","DPTForDepthEstimation"],["depth_anything","DepthAnythingForDepthEstimation"],["glpn","GLPNForDepthEstimation"],["sapiens","SapiensForDepthEstimation"],["depth_pro","DepthProForDepthEstimation"],["metric3d","Metric3DForDepthEstimation"],["metric3dv2","Metric3Dv2ForDepthEstimation"]]),XS0=new Map([["sapiens","SapiensForNormalEstimation"]]),JS0=new Map([["vitpose","VitPoseForPoseEstimation"]]),YS0=new Map([["clip","CLIPVisionModelWithProjection"],["siglip","SiglipVisionModel"],["jina_clip","JinaCLIPVisionModel"]]),GS0=[[ojQ,RQ.EncoderOnly],[njQ,RQ.EncoderDecoder],[sjQ,RQ.DecoderOnlyWithoutHead],[ajQ,RQ.AutoEncoder],[vE0,RQ.EncoderOnly],[xE0,RQ.EncoderOnly],[bE0,RQ.Seq2Seq],[TE0,RQ.Seq2Seq],[gE0,RQ.DecoderOnly],[rjQ,RQ.MultiModality],[hE0,RQ.EncoderOnly],[_E0,RQ.EncoderOnly],[fE0,RQ.Vision2Seq],[mE0,RQ.ImageTextToText],[uE0,RQ.AudioTextToText],[pE0,RQ.EncoderOnly],[LV,RQ.EncoderOnly],[iE0,RQ.EncoderOnly],[cE0,RQ.EncoderOnly],[tE0,RQ.EncoderOnly],[ejQ,RQ.EncoderOnly],[eE0,RQ.EncoderOnly],[QS0,RQ.EncoderOnly],[XS0,RQ.EncoderOnly],[JS0,RQ.EncoderOnly],[lE0,RQ.EncoderOnly],[dE0,RQ.EncoderOnly],[oE0,RQ.MaskGeneration],[nE0,RQ.EncoderOnly],[aE0,RQ.EncoderOnly],[kE0,RQ.Seq2Seq],[yE0,RQ.EncoderOnly],[sE0,RQ.EncoderOnly],[rE0,RQ.EncoderOnly],[YS0,RQ.EncoderOnly]];for(let[Q,J]of GS0)for(let G of Q.values()){b5.set(G,J);let H=H10[G];CV.set(H,G),Y10.set(G,H)}var QCQ=[["MusicgenForConditionalGeneration",t20,RQ.Musicgen],["Phi3VForCausalLM",JE0,RQ.Phi3V],["CLIPTextModelWithProjection",D20,RQ.EncoderOnly],["SiglipTextModel",VE0,RQ.EncoderOnly],["JinaCLIPTextModel",u20,RQ.EncoderOnly],["ClapTextModelWithProjection",Z20,RQ.EncoderOnly],["ClapAudioModelWithProjection",F20,RQ.EncoderOnly],["DacEncoderModel",O20,RQ.EncoderOnly],["DacDecoderModel",P20,RQ.EncoderOnly],["MimiEncoderModel",a20,RQ.EncoderOnly],["MimiDecoderModel",s20,RQ.EncoderOnly],["SnacEncoderModel",qE0,RQ.EncoderOnly],["SnacDecoderModel",UE0,RQ.EncoderOnly],["Gemma3nForConditionalGeneration",_R,RQ.ImageAudioTextToText],["Gemma4ForConditionalGeneration",_10,RQ.ImageAudioTextToText],["SupertonicForConditionalGeneration",FE0,RQ.Supertonic],["ChatterboxModel",q20,RQ.Chatterbox],["VoxtralRealtimeForConditionalGeneration",IE0,RQ.VoxtralRealtime]];for(let[Q,J,G]of QCQ)b5.set(Q,G),CV.set(J,Q),Y10.set(Q,J);var WS0=new Map([["modnet",LV],["birefnet",LV],["isnet",LV],["ben",LV]]);for(let[Q,J]of WS0.entries())J.set(Q,"PreTrainedModel"),b5.set(Q,RQ.EncoderOnly),Y10.set(Q,s0);var XCQ=new Set(WS0.keys());b5.set("PreTrainedModel",RQ.EncoderOnly);CV.set(s0,"PreTrainedModel");var p6={MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES:vE0,MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES:xE0,MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES:kE0,MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES:yE0,MODEL_FOR_MASKED_LM_MAPPING_NAMES:hE0,MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES:_E0,MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES:pE0,MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES:LV,MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES:cE0,MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES:iE0,MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES:lE0,MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES:dE0,MODEL_FOR_MASK_GENERATION_MAPPING_NAMES:oE0,MODEL_FOR_CTC_MAPPING_NAMES:nE0,MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES:aE0,MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES:sE0,MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES:rE0,MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES:tjQ,MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES:tE0,MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES:eE0,MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES:QS0,MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES:XS0,MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES:JS0,MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES:YS0,MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES:mE0,MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES:uE0,MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES:bE0,MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES:TE0,MODEL_FOR_CAUSAL_LM_MAPPING_NAMES:gE0,MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES:fE0};YFQ(p6);var l6=class{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static supports(Q){if(!this.MODEL_CLASS_MAPPINGS)return!1;for(let J of this.MODEL_CLASS_MAPPINGS)if(J.has(Q))return!0;return this.BASE_IF_FAIL}static async from_pretrained(Q,{progress_callback:J=null,config:G=null,cache_dir:H=null,local_files_only:K=!1,revision:z="main",model_file_name:q=null,subfolder:F="onnx",device:D=null,dtype:V=null,use_external_data_format:O=null,session_options:P={}}={}){let N={progress_callback:J,config:G,cache_dir:H,local_files_only:K,revision:z,model_file_name:q,subfolder:F,device:D,dtype:V,use_external_data_format:O,session_options:P};if(N.config=await _F.from_pretrained(Q,N),!this.MODEL_CLASS_MAPPINGS)throw Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);let{model_type:I}=N.config;for(let R of this.MODEL_CLASS_MAPPINGS){let w=R.get(I);if(!w){for(let E of R.values())if(E[0]===I){w=E;break}if(!w)continue}return await H10[w].from_pretrained(Q,N)}if(this.BASE_IF_FAIL){if(!XCQ.has(I))g8.warn(`Unknown model class "${I}", attempting to construct from base class.`);return await s0.from_pretrained(Q,N)}else throw Error(`Unsupported model type: ${I}`)}},kF=class extends l6{static MODEL_CLASS_MAPPINGS=GS0.map((Q)=>Q[0]);static BASE_IF_FAIL=!0},SI0=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES]},JCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES]},X90=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES]},YCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES]},GCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES]},WCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES]},HCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES]},BCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_MASKED_LM_MAPPING_NAMES]},ACQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES]},KCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES]},zCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES]},TI0=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES]},kI0=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES]},yI0=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING_NAMES]},VCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES]},qCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES]},xz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_MASK_GENERATION_MAPPING_NAMES]},UCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_CTC_MAPPING_NAMES]},$CQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES]},bz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES]},gz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES]},ZCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES]},hz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES]},FCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES]},DCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES]},_z8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_NORMAL_ESTIMATION_MAPPING_NAMES]},fz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_POSE_ESTIMATION_MAPPING_NAMES]},MCQ=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_IMAGE_FEATURE_EXTRACTION_MAPPING_NAMES]},mz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_IMAGE_TEXT_TO_TEXT_MAPPING_NAMES]},uz8=class extends l6{static MODEL_CLASS_MAPPINGS=[p6.MODEL_FOR_AUDIO_TEXT_TO_TEXT_MAPPING_NAMES]};async function uG(Q){if(!Array.isArray(Q))Q=[Q];return await Promise.all(Q.map((J)=>gG.read(J)))}async function OV(Q,J){if(!Array.isArray(Q))Q=[Q];return await Promise.all(Q.map((G)=>{if(typeof G==="string"||G instanceof URL)return FUQ(G,J);else if(G instanceof Float64Array)return new Float32Array(G);return G}))}function D90(Q,J){if(J)Q=Q.map((q)=>q|0);let[G,H,K,z]=Q;return{xmin:G,ymin:H,xmax:K,ymax:z}}var W7=class extends nJ{constructor({task:Q,model:J,tokenizer:G=null,processor:H=null}){super();this.task=Q,this.model=J,this.tokenizer=G,this.processor=H}async dispose(){await this.model.dispose()}},LCQ=class extends W7{async _call(Q,{top_k:J=1}={}){let G=this.tokenizer(Q,{padding:!0,truncation:!0}),H=await this.model(G),{problem_type:K,id2label:z}=this.model.config,q=K==="multi_label_classification"?(D)=>D.sigmoid():(D)=>new PQ("float32",wX(D.data),D.dims),F=[];for(let D of H.logits){let V=q(D),O=await SV(V,J),P=O[0].tolist(),I=O[1].tolist().map((R,w)=>({label:z?z[R]:`LABEL_${R}`,score:P[w]}));if(J===1)F.push(...I);else F.push(I)}return Array.isArray(Q)||J===1?F:F[0]}},OCQ=class extends W7{async _call(Q,{ignore_labels:J=["O"],aggregation_strategy:G="none"}={}){if(G!=="none"&&G!=="simple")throw Error(`Invalid aggregation_strategy: "${G}". Must be one of "none" or "simple".`);let H=Array.isArray(Q),K=this.tokenizer(H?Q:[Q],{padding:!0,truncation:!0}),q=(await this.model(K)).logits,F=this.model.config.id2label,D=[];for(let V=0;V<q.dims[0];++V){let O=K.input_ids[V].tolist(),P=q[V],N=[];for(let I=0;I<P.dims[0];++I){let R=P[I],w=D7(R.data)[1],E=F?F[w]:`LABEL_${w}`;if(J.includes(E))continue;let T=this.tokenizer.decode([O[I]],{skip_special_tokens:!0});if(T==="")continue;let y=wX(R.data);N.push({entity:E,score:y[w],index:I,word:T})}D.push(G==="simple"?NCQ(N,O,this.tokenizer):N)}return H?D:D[0]}};function PCQ(Q){let J=Q[0];return Q[1]==="-"&&(J==="B"||J==="I"||J==="E"||J==="S")?[J,Q.slice(2)]:["I",Q]}function NCQ(Q,J,G){let H=[],K=null;for(let z=0;z<Q.length;++z){let[q,F]=PCQ(Q[z].entity);if(K===F&&q!=="B"&&q!=="S"){if(H[H.length-1].end=z+1,q==="E")K=null}else H.push({tag:F,start:z,end:z+1}),K=q==="S"?null:F}return H.map(({tag:z,start:q,end:F})=>{let D=0,V=[];for(let O=q;O<F;++O)D+=Q[O].score,V.push(J[Q[O].index]);return{entity_group:z,score:D/(F-q),word:G.decode(V,{skip_special_tokens:!0})}})}var jCQ=class extends W7{async _call(Q,J,{top_k:G=1}={}){let H=this.tokenizer(Q,{text_pair:J,padding:!0,truncation:!0}),K=Array.isArray(Q),{start_logits:z,end_logits:q}=await this.model(H),F=H.input_ids.tolist(),D=H.attention_mask.tolist(),{all_special_ids:V,sep_token_id:O}=this.tokenizer,P=[];for(let N=0;N<z.dims[0];++N){let I=F[N],R=I.findIndex((g)=>g==O),w=z[N].tolist(),E=q[N].tolist();for(let g=1;g<w.length;++g)if(D[N]==0||g<=R||V.findIndex((l)=>l==I[g])!==-1)w[g]=-1/0,E[g]=-1/0;let T=wX(w).map((g,l)=>[g,l]),y=wX(E).map((g,l)=>[g,l]);T[0][0]=0,y[0][0]=0;let x=cBQ(T,y).filter((g)=>g[0][1]<=g[1][1]).map((g)=>[g[0][1],g[1][1],g[0][0]*g[1][0]]).sort((g,l)=>l[2]-g[2]),b=[];for(let g=0;g<Math.min(x.length,G);++g){let[l,_,a]=x[g],r=I.slice(l,_+1),f0=this.tokenizer.decode(r,{skip_special_tokens:!0});b.push({answer:f0,score:a})}if(G===1)P.push(...b);else P.push(b)}return K?P:P[0]}},CCQ=class extends W7{async _call(Q,{top_k:J=5}={}){let{mask_token_id:G,mask_token:H}=this.tokenizer,K=this.tokenizer(Q,{padding:!0,truncation:!0}),{logits:z}=await this.model(K),q=[],F=K.input_ids.tolist();for(let D=0;D<F.length;++D){let V=F[D],O=V.findIndex((w)=>w==G);if(O===-1)throw Error(`Mask token (${H}) not found in text.`);let P=z[D][O],N=await SV(new PQ("float32",wX(P.data),P.dims),J),I=N[0].tolist(),R=N[1].tolist();q.push(R.map((w,E)=>{let T=V.slice();return T[O]=w,{score:I[E],token:Number(w),token_str:this.tokenizer.decode([w]),sequence:this.tokenizer.decode(T,{skip_special_tokens:!0})}}))}return Array.isArray(Q)?q:q[0]}},KX0=class extends W7{_default_generation_config={max_new_tokens:256};_key="generated_text";async _call(Q,J={}){if(!Array.isArray(Q))Q=[Q];if(this.model.config.prefix)Q=Q.map((F)=>this.model.config.prefix+F);let G=this.model.config.task_specific_params;if(G&&G[this.task]){if(G[this.task].prefix)Q=Q.map((F)=>G[this.task].prefix+F)}let H=this.tokenizer,K={padding:!0,truncation:!0},z;if(this.task==="translation"&&"_build_translation_inputs"in H)z=H._build_translation_inputs(Q,K,J);else z=H(Q,K);let q=await this.model.generate({...z,...this._default_generation_config,...J});return H.batch_decode(q,{skip_special_tokens:!0}).map((F)=>({[this._key]:F}))}},ICQ=class extends KX0{_key="summary_text"},RCQ=class extends KX0{_key="translation_text"};function vI0(Q){return Array.isArray(Q)&&Q.every((J)=>("role"in J)&&("content"in J))}var wCQ=class extends W7{_default_generation_config={max_new_tokens:256};async _call(Q,J={}){let{add_special_tokens:G,return_full_text:H,tools:K,documents:z,chat_template:q,tokenizer_encode_kwargs:F,...D}=J,V=!1,O=!1,P=G??(this.tokenizer.add_bos_token||this.tokenizer.add_eos_token)??!1,N=F,I;if(typeof Q==="string")I=Q=[Q];else if(Array.isArray(Q)&&Q.every((b)=>typeof b==="string"))V=!0,I=Q;else{if(vI0(Q))Q=[Q];else if(Array.isArray(Q)&&Q.every(vI0))V=!0;else throw Error("Input must be a string, an array of strings, a Chat, or an array of Chats");O=!0;let b={tokenize:!1,add_generation_prompt:!0,...JX({tools:K,documents:z,chat_template:q},["tools","documents","chat_template"]),...N};I=Q.map((g)=>this.tokenizer.apply_chat_template(g,b)),P=!1,N=void 0}let R=O?!1:H??!0;this.tokenizer.padding_side="left";let w=this.tokenizer(I,{add_special_tokens:P,padding:!0,truncation:!0,...N}),E=await this.model.generate({...w,...this._default_generation_config,...D}),T=this.tokenizer.batch_decode(E,{skip_special_tokens:!0}),y;if(!R&&w.input_ids.dims.at(-1)>0)y=this.tokenizer.batch_decode(w.input_ids,{skip_special_tokens:!0}).map((b)=>b.length);let x=Array.from({length:Q.length},(b)=>[]);for(let b=0;b<T.length;++b){let g=Math.floor(b/E.dims[0]*Q.length);if(y)T[b]=T[b].slice(y[g]);x[g].push({generated_text:O?[...Q[g],{role:"assistant",content:T[b]}]:T[b]})}return!V&&x.length===1?x[0]:x}},ECQ=class extends W7{constructor(Q){super(Q);if(this.label2id=Object.fromEntries(Object.entries(this.model.config.label2id).map(([J,G])=>[J.toLowerCase(),G])),this.entailment_id=this.label2id.entailment,this.entailment_id===void 0)g8.warn("Could not find 'entailment' in label2id mapping. Using 2 as entailment_id."),this.entailment_id=2;if(this.contradiction_id=this.label2id.contradiction??this.label2id.not_entailment,this.contradiction_id===void 0)g8.warn("Could not find 'contradiction' in label2id mapping. Using 0 as contradiction_id."),this.contradiction_id=0}async _call(Q,J,{hypothesis_template:G="This example is {}.",multi_label:H=!1}={}){let K=Array.isArray(Q);if(!K)Q=[Q];if(!Array.isArray(J))J=[J];let z=J.map((D)=>G.replace("{}",D)),q=H||J.length===1,F=[];for(let D of Q){let V=[];for(let N of z){let I=this.tokenizer(D,{text_pair:N,padding:!0,truncation:!0}),R=await this.model(I);if(q)V.push([R.logits.data[this.contradiction_id],R.logits.data[this.entailment_id]]);else V.push(R.logits.data[this.entailment_id])}let P=(q?V.map((N)=>wX(N)[1]):wX(V)).map((N,I)=>[N,I]).sort((N,I)=>I[0]-N[0]);F.push({sequence:D,labels:P.map((N)=>J[N[1]]),scores:P.map((N)=>N[0])})}return K?F:F[0]}},SCQ=class extends W7{async _call(Q,{top_k:J=5}={}){let G=this.processor.feature_extractor.config.sampling_rate,H=await OV(Q,G),K=this.model.config.id2label,z=[];for(let q of H){let F=await this.processor(q),V=(await this.model(F)).logits[0],O=await SV(new PQ("float32",wX(V.data),V.dims),J),P=O[0].tolist(),I=O[1].tolist().map((R,w)=>({label:K?K[R]:`LABEL_${R}`,score:P[w]}));z.push(I)}return Array.isArray(Q)?z:z[0]}},TCQ=class extends W7{async _call(Q,J,{hypothesis_template:G="This is a sound of {}."}={}){let H=!Array.isArray(Q);if(H)Q=[Q];let K=J.map((V)=>G.replace("{}",V)),z=this.tokenizer(K,{padding:!0,truncation:!0}),q=this.processor.feature_extractor.config.sampling_rate,F=await OV(Q,q),D=[];for(let V of F){let O=await this.processor(V),P=await this.model({...z,...O}),N=wX(P.logits_per_audio.data);D.push([...N].map((I,R)=>({score:I,label:J[R]})))}return H?D[0]:D}},kCQ=class extends W7{_default_generation_config={};async _call(Q,J={}){switch(J={...this._default_generation_config,...J},this.model.config.model_type){case"whisper":case"lite-whisper":return this._call_whisper(Q,J);case"wav2vec2":case"wav2vec2-bert":case"unispeech":case"unispeech-sat":case"hubert":case"parakeet_ctc":return this._call_wav2vec2(Q,J);case"moonshine":return this._call_moonshine(Q,J);case"cohere_asr":return this._call_cohere_asr(Q,J);default:throw Error(`AutomaticSpeechRecognitionPipeline does not support model type '${this.model.config.model_type}'.`)}}async _call_wav2vec2(Q,J){if(J.language)g8.warn('`language` parameter is not yet supported for `wav2vec2` models, defaulting to "English".');if(J.task)g8.warn('`task` parameter is not yet supported for `wav2vec2` models, defaulting to "transcribe".');let G=!Array.isArray(Q),H=G?[Q]:Q,K=this.processor.feature_extractor.config.sampling_rate,z=await OV(H,K),q=[];for(let F of z){let D=await this.processor(F),O=(await this.model(D)).logits[0],P=[];for(let I of O)P.push(D7(I.data)[1]);let N=this.tokenizer.decode(P,{skip_special_tokens:!0}).trim();q.push({text:N})}return G?q[0]:q}async _call_whisper(Q,J){let G=J.return_timestamps??!1,H=J.chunk_length_s??0,K=J.force_full_sequences??!1,z=J.stride_length_s??null,q={...J};if(G==="word")q.return_token_timestamps=!0,q.return_timestamps=!0;let F=!Array.isArray(Q),D=F?[Q]:Q,V=this.processor.feature_extractor.config,O=V.chunk_length/this.model.config.max_source_positions,P=V.hop_length,N=V.sampling_rate,I=await OV(D,N),R=[];for(let w of I){let E=[];if(H>0){if(z===null)z=H/6;else if(H<=z)throw Error("`chunk_length_s` must be larger than `stride_length_s`.");let x=N*H,b=N*z,g=x-2*b,l=0;while(!0){let _=l+x,a=w.subarray(l,_),r=await this.processor(a),f0=l===0,t=_>=w.length;if(E.push({stride:[a.length,f0?0:b,t?0:b],input_features:r.input_features,is_last:t}),t)break;l+=g}}else E=[{stride:[w.length,0,0],input_features:(await this.processor(w)).input_features,is_last:!0}];for(let x of E){q.num_frames=Math.floor(x.stride[0]/P);let b=await this.model.generate({inputs:x.input_features,...q});if(G==="word"){let g=b.sequences.tolist()[0],l=b.token_timestamps.tolist()[0],_=this.tokenizer.timestamp_begin,a=Math.max(g.findIndex((r)=>Number(r)>=_),0);x.tokens=g.slice(a),x.token_timestamps=l.slice(a).map((r)=>SF(r,2))}else x.tokens=b[0].tolist();x.stride=x.stride.map((g)=>g/N)}let[T,y]=this.tokenizer._decode_asr(E,{time_precision:O,return_timestamps:G,force_full_sequences:K});R.push({text:T,...y})}return F?R[0]:R}async _call_moonshine(Q,J){let G=!Array.isArray(Q),H=G?[Q]:Q,K=this.processor.feature_extractor.config.sampling_rate,z=await OV(H,K),q=[];for(let F of z){let D=await this.processor(F),V=Math.floor(F.length/K)*6,O=await this.model.generate({max_new_tokens:V,...J,...D}),P=this.processor.batch_decode(O,{skip_special_tokens:!0})[0];q.push({text:P})}return G?q[0]:q}async _call_cohere_asr(Q,J){let G=!Array.isArray(Q),H=G?[Q]:Q,K=this.processor.feature_extractor,z=K.config.sampling_rate,q=await OV(H,z),F=J.language??"en",D=this.processor.get_decoder_prompt_ids(F),V=[];for(let O of q){let P=K.split_audio(O),N=[];for(let R of P){let w=await this.processor(R),E=await this.model.generate({...w,decoder_input_ids:D,...J}),T=this.tokenizer.decode(E[0].tolist(),{skip_special_tokens:!0}).trim();N.push(T)}let I=this.processor.constructor.join_chunks(N,F);V.push({text:I})}return G?V[0]:V}},yCQ=class extends W7{DEFAULT_VOCODER_ID="Xenova/speecht5_hifigan";constructor(Q){super(Q);this.vocoder=Q.vocoder??null}async _prepare_speaker_embeddings(Q,J){if(typeof Q==="string"||Q instanceof URL)Q=new Float32Array(await(await A6.fetch(Q)).arrayBuffer());if(Q instanceof Float32Array)Q=new PQ("float32",Q,[Q.length]);else if(!(Q instanceof PQ))throw Error("Speaker embeddings must be a `Tensor`, `Float32Array`, `string`, or `URL`.");if(J>1){if(Q.dims[0]===1)Q=Q.repeat(J,1);else if(Q.dims[0]!==J)throw Error(`Expected speaker embeddings batch size to be 1 or ${J}, but got ${Q.dims[0]}.`)}return Q}_postprocess_waveform(Q,J,G,H=null){let K=J.data,[z,q]=J.dims,F=H?H.data:null,D=[];for(let V=0;V<z;++V){let O=F?Math.min(Math.ceil(F[V]),q):q,P=V*q;D.push(new RUQ(K.slice(P,P+O),G))}return Array.isArray(Q)?D:D[0]}async _call(Q,J){if(this.processor)return this._call_text_to_spectrogram(Q,J);else if(this.model.config.model_type==="supertonic")return this._call_supertonic(Q,J);else return this._call_text_to_waveform(Q)}async _call_supertonic(Q,{speaker_embeddings:J,num_inference_steps:G,speed:H}){if(!J)throw Error("Speaker embeddings must be provided for Supertonic models.");let{sampling_rate:K,style_dim:z}=this.model.config,q=this.tokenizer(Q,{padding:!0,truncation:!0}),F=q.input_ids.dims[0];J=await this._prepare_speaker_embeddings(J,F),J=J.view(F,-1,z);let{waveform:D,durations:V}=await this.model.generate_speech({...q,style:J,num_inference_steps:G,speed:H});return this._postprocess_waveform(Q,D,K,V)}async _call_text_to_waveform(Q){let J=this.tokenizer(Q,{padding:!0,truncation:!0}),{waveform:G}=await this.model(J),H=this.model.config.sampling_rate;return this._postprocess_waveform(Q,G,H)}async _call_text_to_spectrogram(Q,{speaker_embeddings:J}){if(!this.vocoder)g8.info("No vocoder specified, using default HifiGan vocoder."),this.vocoder=await kF.from_pretrained(this.DEFAULT_VOCODER_ID,{dtype:"fp32"});let{input_ids:G}=this.tokenizer(Q,{padding:!0,truncation:!0}),H=G.dims[0];J=await this._prepare_speaker_embeddings(J,H),J=J.view(H,-1);let{waveform:K}=await this.model.generate_speech(G,J,{vocoder:this.vocoder}),z=this.processor.feature_extractor.config.sampling_rate;return this._postprocess_waveform(Q,K,z)}},vCQ=class extends W7{async _call(Q,J={}){let G=Array.isArray(Q),H=await uG(Q),{pixel_values:K}=await this.processor(H),z=[];for(let q of K){q.dims=[1,...q.dims];let F=await this.model.generate({inputs:q,...J}),D=this.tokenizer.batch_decode(F,{skip_special_tokens:!0}).map((V)=>({generated_text:V.trim()}));z.push(D)}return G?z:z[0]}},xCQ=class extends W7{async _call(Q,{top_k:J=5}={}){let G=await uG(Q),{pixel_values:H}=await this.processor(G),K=await this.model({pixel_values:H}),{id2label:z}=this.model.config,q=[];for(let F of K.logits){let D=await SV(new PQ("float32",wX(F.data),F.dims),J),V=D[0].tolist(),P=D[1].tolist().map((N,I)=>({label:z?z[N]:`LABEL_${N}`,score:V[I]}));q.push(P)}return Array.isArray(Q)?q:q[0]}},xI0={panoptic:"post_process_panoptic_segmentation",instance:"post_process_instance_segmentation",semantic:"post_process_semantic_segmentation"},HS0=class extends W7{async _call(Q,{threshold:J=0.5,mask_threshold:G=0.5,overlap_mask_area_threshold:H=0.8,label_ids_to_fuse:K=null,target_sizes:z=null,subtask:q=null}={}){if(Array.isArray(Q)&&Q.length!==1)throw Error("Image segmentation pipeline currently only supports a batch size of 1.");let D=await uG(Q),V=D.map((T)=>[T.height,T.width]),O=await this.processor(D),{inputNames:P,outputNames:N}=this.model.sessions.model;if(!P.includes("pixel_values")){if(P.length!==1)throw Error(`Expected a single input name, but got ${P.length} inputs: ${P}.`);let T=P[0];if(T in O)throw Error(`Input name ${T} already exists in the inputs.`);O[T]=O.pixel_values}let I=await this.model(O),R=null;if(q!==null)R=xI0[q];else if(this.processor.image_processor){for(let[T,y]of Object.entries(xI0))if(y in this.processor.image_processor){R=this.processor.image_processor[y].bind(this.processor.image_processor),q=T;break}}let w=this.model.config.id2label,E=[];if(!q){let y=I[N[0]];for(let x=0;x<V.length;++x){let b=V[x],g=y[x];if(g.data.some((_)=>_<-0.00001||_>1.00001))g.sigmoid_();let l=await gG.fromTensor(g.mul_(255).to("uint8")).resize(b[1],b[0]);E.push({label:null,score:null,mask:l})}}else if(q==="panoptic"||q==="instance"){let T=R(I,J,G,H,K,z??V)[0],y=T.segmentation;for(let x of T.segments_info){let b=new Uint8ClampedArray(y.data.length);for(let l=0;l<y.data.length;++l)if(y.data[l]===x.id)b[l]=255;let g=new gG(b,y.dims[1],y.dims[0],1);E.push({score:x.score,label:w[x.label_id],mask:g})}}else if(q==="semantic"){let{segmentation:T,labels:y}=R(I,z??V)[0];for(let x of y){let b=new Uint8ClampedArray(T.data.length);for(let l=0;l<T.data.length;++l)if(T.data[l]===x)b[l]=255;let g=new gG(b,T.dims[1],T.dims[0],1);E.push({score:null,label:w[x],mask:g})}}else throw Error(`Subtask ${q} not supported.`);return E}},bCQ=class extends HS0{async _call(Q,J={}){let G=await uG(Q),H=await super._call(Q,J),K=G.map((z,q)=>{let F=z.clone();return F.putAlpha(H[q].mask),F});return Array.isArray(Q)?K:K[0]}},gCQ=class extends W7{async _call(Q,J,{hypothesis_template:G="This is a photo of {}"}={}){let H=Array.isArray(Q),K=await uG(Q),z=J.map((P)=>G.replace("{}",P)),q=this.tokenizer(z,{padding:this.model.config.model_type==="siglip"?"max_length":!0,truncation:!0}),{pixel_values:F}=await this.processor(K),D=await this.model({...q,pixel_values:F}),V=this.model.config.model_type==="siglip"?(P)=>P.sigmoid().data:(P)=>wX(P.data),O=[];for(let P of D.logits_per_image){let I=[...V(P)].map((R,w)=>({score:R,label:J[w]}));I.sort((R,w)=>w.score-R.score),O.push(I)}return H?O:O[0]}},hCQ=class extends W7{async 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onnxruntime-web/dist/ort.webgpu.bundle.min.mjs:
  (*!
   * ONNX Runtime Web v1.26.0-dev.20260416-b7804b056c
   * Copyright (c) Microsoft Corporation. All rights reserved.
   * Licensed under the MIT License.
   *)
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this.flushMtimes();return}let Q=this.opts.binPath.split("/").slice(0,-1).join("/");if(Q)await this.opts.adapter.mkdir(Q);let J=Array.from(this.records.values()),G=0;for(let D of J)G+=D.vector.length;let H=new Float32Array(G),K=[],z=0;for(let D of J){let V=z*4,O=D.vector.length*4;H.set(D.vector,z),z+=D.vector.length,K.push({chunkId:D.chunkId,filePath:D.filePath,offset:D.offset,heading:D.heading,contentHash:D.contentHash,byteOffset:V,byteLength:O})}let q=H.buffer.slice(H.byteOffset,H.byteOffset+H.byteLength);await this.opts.adapter.write(this.sentinelPath,"1"),await this.opts.adapter.writeBinary(this.opts.binPath,q);let F={version:UB,records:K};if(await this.opts.adapter.write(this.opts.indexPath,JSON.stringify(F)),this.mtimeDirty)await this.flushMtimes();await this.opts.adapter.write(this.metaPath,JSON.stringify({version:UB,recordCount:this.records.size})),await this.removeSentinel(),this.dirty=!1}async flushMtimes(){let Q=this.mtimesPath.split("/").slice(0,-1).join("/");if(Q)await this.opts.adapter.mkdir(Q);await this.opts.adapter.write(this.mtimesPath,JSON.stringify(Object.fromEntries(this.fileMtimes))),this.mtimeDirty=!1}async removeSentinel(){try{if(await this.opts.adapter.exists(this.sentinelPath))await this.opts.adapter.remove(this.sentinelPath)}catch(Q){SQ.warn("could not remove embedding store sentinel",{error:Q instanceof Error?Q.message:String(Q)})}}async close(){await this.flush(),this.records.clear(),this.fileIndex.clear(),this.fileMtimes.clear(),this.dirty=!1,this.mtimeDirty=!1,this.initialized=!1}}function MS0(Q){return new DS0(Q)}class LS0{adapter;baseDir;stores=new Map;ready=new Set;constructor(Q,J){this.adapter=Q;this.baseDir=J}storeFor(Q,J){let G=this.stores.get(Q);if(G)return G;let H=MS0({adapter:this.adapter,binPath:`${this.baseDir}/${Q}/embeddings.bin`,indexPath:`${this.baseDir}/${Q}/embeddings.index.json`,vectorDim:J});return this.stores.set(Q,H),H}markReady(Q){this.ready.add(Q)}isReady(Q){return this.ready.has(Q)}async close(Q){let J=this.stores.get(Q);if(!J)return;await J.close(),this.stores.delete(Q),this.ready.delete(Q)}async closeAll(){let Q=Array.from(this.stores.keys());await Promise.all(Q.map((J)=>this.close(J)))}}function OS0(Q,J){return new LS0(Q,J)}async function PS0(Q,J){let G=`${J}/embeddings.bin`;try{if(!await Q.exists(G))return;let H=`${J}/embeddings.index.json`,K=`${J}/embeddings/native-minilm-l6-v2`,z=`${K}/.migrating`;if(await Q.exists(z))return;let q=await Q.readBinary(G);if(await Q.mkdir(K),await Q.write(z,""),await Q.writeBinary(`${K}/embeddings.bin`,q),await Q.remove(G),await Q.exists(H)){let F=await Q.read(H);await Q.write(`${K}/embeddings.index.json`,F),await Q.remove(H)}await Q.remove(z),SQ.info("semantic-search: v1 flat store migrated to per-provider directory",{pluginDir:J})}catch(H){SQ.warn("v1 flat store migration failed; store will be re-indexed",{pluginDir:J,error:H instanceof Error?H.message:String(H)})}}var sCQ=8;class NS0{opts;providerKey;dimensions;maxInputTokens;pipeline=null;loadPromise=null;resolvedMaxTokens=null;constructor(Q){this.opts=Q;this.providerKey=Q.providerKey,this.dimensions=Q.dimensions,this.maxInputTokens=Q.maxInputTokensByBackend.wasm}getMaxInputTokens(){if(!this.resolvedMaxTokens)this.resolvedMaxTokens=UX0().then((Q)=>this.opts.maxInputTokensByBackend[Q]);return this.resolvedMaxTokens}getModelSizeBytes(){return this.opts.modelSizeBytes}async isAvailable(){return!0}async embed(Q,J){if(Q.length===0)return[];let G=await this.ensurePipeline(),H=await this.getMaxInputTokens(),K=this.opts.batchSize??sCQ,z=[];for(let q=0;q<Q.length;q+=K){let F=Q.slice(q,q+K).map((O)=>this.opts.taskPrompt(O,J)),D=await G(F,{pooling:"mean",normalize:!0,truncation:!0,max_length:H}),V=D.dims?.length===2&&typeof D.dims[1]==="number"?D.dims[1]:this.opts.dimensions;for(let O=0;O<F.length;O++)z.push(new Float32Array(D.data.subarray(O*V,(O+1)*V)))}return z}async ensurePipeline(){if(this.pipeline)return this.pipeline;if(!this.loadPromise)this.loadPromise=this.opts.pipelineFactory(this.opts.modelId).then((Q)=>{return this.pipeline=Q,Q}).catch((Q)=>{throw this.loadPromise=null,Q});return this.loadPromise}}function eR(Q){return new NS0(Q)}function jS0(Q){return eR({modelId:"onnx-community/embeddinggemma-300m-ONNX",providerKey:"embedding-gemma-300m",dimensions:768,maxInputTokensByBackend:{wasm:512,webgpu:2048},modelSizeBytes:190000000,taskPrompt:(J,G)=>G==="query"?"task: search result | query: "+J:"title: none | text: "+J,pipelineFactory:Q,batchSize:4})}function CS0(Q){return eR({modelId:"Xenova/multilingual-e5-base",providerKey:"multilingual-e5-base",dimensions:768,maxInputTokensByBackend:{wasm:512,webgpu:512},modelSizeBytes:60000000,taskPrompt:(J,G)=>(G==="query"?"query: ":"passage: ")+J,pipelineFactory:Q})}async function IS0(Q,J=50){let G=Q.getMarkdownFiles().slice(0,J),H=0,K=0;for(let z of G){let q;try{q=await Q.read(z.path)}catch{continue}H+=q.length;for(let 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`+H.text}})}}async function BIQ(Q,J={}){let G=J.maxTokens??rCQ,H=J.overlapTokens??tCQ,K=J.minTokens??eCQ,{frontmatter:z,body:q,bodyOffset:F}=XIQ(Q),D=null;if(z!==null){let P=z.trim();if(Qw(P)>=K)D={id:"#frontmatter",text:P,heading:null,offset:0,contentHash:await dV(P)}}let V=JIQ(q,F),O=[];for(let P of V)await WIQ(P,G,H,K,O);return D?[D,...O]:O}var AIQ=16,KIQ=64;function ZX0(Q){let J=!1;return async(G)=>{let H=await Q.getMaxInputTokens(),K=Math.max(KIQ,H-AIQ);if(!J)J=!0,SQ.info("semantic-search: chunker bound to provider",{providerKey:Q.providerKey,maxInputTokens:H,chunkMaxTokens:K});return BIQ(G,{maxTokens:K})}}var zIQ=2000,VIQ=5000;class wS0{timers=new Map;inFlight=new Map;unsubs=[];running=!1;flushTimer=null;flushInFlight=null;debounceMs;flushDebounceMs;opts;constructor(Q){this.debounceMs=Q.debounceMs??zIQ,this.flushDebounceMs=Q.flushDebounceMs??VIQ,this.opts={...Q,chunker:$X0(Q.chunker)}}async start(Q={}){if(this.running)return;if(this.running=!0,await this.opts.store.init(),this.unsubs.push(this.opts.vault.on("modify",(J)=>this.schedule(J)),this.opts.vault.on("create",(J)=>this.schedule(J)),this.opts.vault.on("delete",(J)=>this.schedule(J))),Q.initialRebuild!==!1)await this.rebuildAll({force:!1})}async stop(){this.running=!1;for(let Q of this.timers.values())window.clearTimeout(Q);this.timers.clear();for(let Q of this.unsubs)Q();this.unsubs=[],await Promise.all(this.inFlight.values()),await this.drainFlush()}isExcluded(Q){return this.opts.isExcluded?.(Q)??!1}async rebuildAll(Q={}){let J=Q.force??!0;if(!await this.opts.embedder.isAvailable()){SQ.warn("live indexer: embedding provider not available, skipping rebuild");return}await this.opts.store.init();let G=this.opts.vault.getMarkdownFiles().filter((K)=>!this.isExcluded(K.path));SQ.info("live indexer: rebuildAll starting",{providerKey:this.opts.embedder.providerKey,fileCount:G.length,force:J});let H=0;for(let K of G){if(!J&&K.mtime!==void 0&&K.mtime===this.opts.store.mtimeFor(K.path)&&this.opts.store.hasRecords(K.path)){H++;continue}await this.processFile(K.path,K.mtime)}SQ.info("live indexer: rebuildAll finished",{providerKey:this.opts.embedder.providerKey,fileCount:G.length,skippedUnchanged:H})}async flush(){let Q=Array.from(this.timers.entries());for(let[,J]of Q)window.clearTimeout(J);this.timers.clear(),await Promise.all(Q.map(async([J])=>{await this.processFile(J)})),await Promise.all(this.inFlight.values()),await this.drainFlush()}pending(){return this.timers.size}schedule(Q){if(!this.running)return;if(this.isExcluded(Q))return;let J=this.timers.get(Q);if(J)window.clearTimeout(J);let G=window.setTimeout(()=>{this.timers.delete(Q),this.processFile(Q).catch((H)=>{SQ.error("live indexer: process failed",{path:Q,error:H instanceof Error?H.message:String(H)})})},this.debounceMs);this.timers.set(Q,G)}async processFile(Q,J){let G=this.inFlight.get(Q),H=(async()=>{if(G)await G.catch(()=>{});await this.doProcessFile(Q,J)})();this.inFlight.set(Q,H);try{await H,this.scheduleFlush()}finally{if(this.inFlight.get(Q)===H)this.inFlight.delete(Q)}}async doProcessFile(Q,J){await TS0(this.opts,Q,J)}scheduleFlush(){if(this.flushTimer)window.clearTimeout(this.flushTimer);this.flushTimer=window.setTimeout(()=>{this.flushTimer=null,this.flushInFlight=this.runFlush()},this.flushDebounceMs)}async runFlush(){let Q=Date.now();try{await this.opts.store.flush(),SQ.info("live indexer: flush completed",{providerKey:this.opts.embedder.providerKey,durationMs:Date.now()-Q})}catch(J){SQ.error("live indexer: flush failed",{providerKey:this.opts.embedder.providerKey,error:J instanceof Error?J.message:String(J)})}finally{this.flushInFlight=null}}async drainFlush(){if(this.flushTimer)window.clearTimeout(this.flushTimer),this.flushTimer=null,this.flushInFlight=this.runFlush();if(this.flushInFlight)await this.flushInFlight}}function FX0(Q){return new wS0(Q)}var qIQ=300000;class ES0{timer=null;running=!1;cycleInFlight=null;lastSeenMtime=new Map;bypassPersistedMtime=!1;intervalMs;opts;constructor(Q){this.intervalMs=Q.intervalMs??qIQ,this.opts={...Q,chunker:$X0(Q.chunker)}}async start(Q={}){if(this.running)return;if(this.running=!0,Q.initialRebuild!==!1)await this.runCycle();this.timer=window.setInterval(()=>{if(this.cycleInFlight)return;this.runCycle().catch((J)=>{SQ.error("low-power indexer: cycle failed",{error:J instanceof Error?J.message:String(J)})})},this.intervalMs)}async stop(){if(this.running=!1,this.timer)window.clearInterval(this.timer),this.timer=null;if(this.cycleInFlight)await this.cycleInFlight}isExcluded(Q){return this.opts.isExcluded?.(Q)??!1}async rebuildAll(Q={}){let J=Q.force??!0;if(!await this.opts.embedder.isAvailable()){SQ.warn("low-power indexer: embedding provider not available, skipping rebuild");return}if(J)this.lastSeenMtime.clear(),this.bypassPersistedMtime=!0;try{await this.runCycle()}finally{this.bypassPersistedMtime=!1}}async flush(){await this.runCycle()}pending(){return this.cycleInFlight?1:0}async runCycle(){if(this.cycleInFlight){await this.cycleInFlight;return}let Q=(async()=>{await this.opts.store.init();let J=this.opts.vault.getMarkdownFiles(),G=new Set;for(let H of J){if(G.add(H.path),this.isExcluded(H.path))continue;let K=this.bypassPersistedMtime||!this.opts.store.hasRecords(H.path)?void 0:this.opts.store.mtimeFor(H.path),z=this.lastSeenMtime.get(H.path)??K,q=H.mtime??Number.POSITIVE_INFINITY;if(z!==void 0&&q<=z)continue;if(await TS0(this.opts,H.path,H.mtime),H.mtime!==void 0)this.lastSeenMtime.set(H.path,H.mtime)}for(let H of Array.from(this.lastSeenMtime.keys()))if(!G.has(H))await this.opts.store.delete(H),this.lastSeenMtime.delete(H);await this.opts.store.flush()})();this.cycleInFlight=Q;try{await Q}finally{this.cycleInFlight=null}}}function SS0(Q){return new ES0(Q)}async function TS0(Q,J,G){let H=G??Q.vault.getFileMtime?.(J),K;try{K=await Q.vault.read(J)}catch(P){if(Q.vault.getMarkdownFiles().some((I)=>I.path===J)){SQ.warn("live indexer: read failed but path still in vault",{path:J,error:P instanceof Error?P.message:String(P)});return}await Q.store.delete(J);return}let z=await Q.chunker(K);if(z.length===0){await Q.store.delete(J);return}let q=new Map;for(let P of Q.store.recordsFor(J))q.set(P.contentHash,P);let F=Array(z.length),D=[],V=new Map;if(z.forEach((P,N)=>{let I=q.get(P.contentHash);if(I){F[N]=I.vector;return}let R=V.get(P.contentHash);if(R)R.push(N);else V.set(P.contentHash,[N]),D.push(P.text)}),D.length>0){let P=await Q.embedder.embed(D,"document"),N=0;for(let I of V.values()){let R=P[N++];for(let w of I)F[w]=R}}let O=z.map((P,N)=>{let I=F[N];if(!I)throw Error(`indexer: missing embedding for chunk ${J}#${P.id} (batch result misaligned)`);return{chunkId:`${J}#${P.id}`,filePath:J,offset:P.offset,heading:P.heading,contentHash:P.contentHash,vector:I}});if(UIQ(O,Q.store.recordsFor(J))){if(H!==void 0)Q.store.setMtime(J,H);return}if(await Q.store.delete(J),await Q.store.upsert(O),H!==void 0)Q.store.setMtime(J,H)}function UIQ(Q,J){let G=new Map;for(let H of J)G.set(H.chunkId,H);if(G.size!==Q.length)return!1;return Q.every((H)=>{let K=G.get(H.chunkId);return K!==void 0&&K.contentHash===H.contentHash&&K.offset===H.offset&&K.heading===H.heading})}function $IQ(Q){return Q instanceof $B.TFile&&Q.extension==="md"}async function kS0(Q){let J={exists:(g)=>Q.app.vault.adapter.exists(g),read:(g)=>Q.app.vault.adapter.read(g),write:(g,l)=>Q.app.vault.adapter.write(g,l),readBinary:(g)=>Q.app.vault.adapter.readBinary(g),writeBinary:(g,l)=>Q.app.vault.adapter.writeBinary(g,l),remove:(g)=>Q.app.vault.adapter.remove(g),mkdir:(g)=>Q.app.vault.adapter.mkdir(g)},G={getMarkdownFiles:()=>Q.app.vault.getMarkdownFiles().map((g)=>({path:g.path,mtime:g.stat?.mtime})),read:async(g)=>{let l=Q.app.vault.getAbstractFileByPath(g);if(!(l instanceof $B.TFile))throw Error(`semantic-search: not a file: ${g}`);return Q.app.vault.cachedRead(l)},getFileMtime:(g)=>{let l=Q.app.vault.getAbstractFileByPath(g);return l instanceof $B.TFile?l.stat?.mtime:void 0},on:(g,l)=>{let _=Q.app.vault.on(g,(a)=>{if($IQ(a))l(a.path)});return()=>Q.app.vault.offref(_)}},H=ij(Q.app),K=async(g,l,_)=>{let a=Q.app.vault.getAbstractFileByPath(g);if(!(a instanceof $B.TFile))return"";return(await Q.app.vault.cachedRead(a)).slice(l,l+_)},z=Q.manifest.dir??`.obsidian/plugins/${Q.manifest.id}`;await PS0(J,z);let q=`${z}/embeddings`,F=OS0(J,q),{staleKeys:D,probedCounts:V}=await FIQ(F,J,q);if(D.length>0){let g=D.length;Q.app.workspace.onLayoutReady(()=>{new $B.Notice(`MCP Tools: Semantic search index format upgraded (${g} provider${g>1?"s":""} migrated). Rebuilding automatically.`,8000)})}let O=VU({innerFactory:tR}),P=await new n9(Q).readSlice("semanticSearch")??{},N=US0({pipelineFactory:O.factory,maxInputTokens:$S0,unloadWhenIdle:P.unloadModelWhenIdle===!0}),I=FS0(N),R=F.storeFor("native-minilm-l6-v2",384);F.markReady("native-minilm-l6-v2");let w=VU({innerFactory:tR,dtype:"q8"}),E=jS0(w.factory),T=VU({innerFactory:tR,dtype:"q8"}),y=CS0(T.factory),x={"embedding-gemma-300m":E,"multilingual-e5-base":y},b=await SK0(Q,{factoryDeps:{plugin:Q,embedder:N,store:R,excerptResolver:K,registry:F,embeddingProviders:x}});if(b.success){let g=b.state;g.downloader=O,g.store=R,g.registry=F,g.probedCounts=V;let l=ZX0(I),_=g.settings.indexingMode==="low-power"?SS0({vault:G,chunker:l,embedder:I,store:R,isExcluded:H}):FX0({vault:G,chunker:l,embedder:I,store:R,isExcluded:H});g.indexer=_;let a=!1;g.startIndexerIfNeeded=()=>{if(a)return;a=!0,_.start().catch((d)=>{SQ.error("semantic-search: indexer start failed",{error:d instanceof Error?d.message:String(d)})})},IS0(G).then((d)=>{if(d>0.3&&g.settings.provider!=="embedding-gemma"&&g.settings.provider!=="multilingual-e5-base")g.autoSuggestProvider="embedding-gemma-300m"}).catch(()=>{});let r={native:"native-minilm-l6-v2",auto:"native-minilm-l6-v2","embedding-gemma":"embedding-gemma-300m","multilingual-e5-base":"multilingual-e5-base"};g.dlcIndexers=new Map;let f0=(d)=>{let n=x[d];if(!n)return null;let c0=F.storeFor(d,n.dimensions);return FX0({vault:G,chunker:ZX0(n),embedder:n,store:c0,isExcluded:H})},t=new Set;g.startRebuildFor=(d)=>{if(t.has(d))return;t.add(d);let n=d,c0=x[n];if(!c0){t.delete(d);return}let WQ=g.dlcIndexers?.get(d),R0=WQ??f0(n);if(!R0){t.delete(d);return}if(!WQ)g.dlcIndexers?.set(d,R0);(WQ?R0.rebuildAll():R0.start()).then(async()=>{if(await F.storeFor(d,c0.dimensions).flush(),F.markReady(d),g.pendingProvider===d)g.pendingProvider=null;if(g.chooser)g.provider=g.chooser(g.settings)}).catch((d0)=>{SQ.error("semantic-search: DLC rebuild failed",{providerKey:d,error:d0 instanceof Error?d0.message:String(d0)})}).finally(()=>{t.delete(d)})};let p0=(d)=>{if(g.dlcIndexers?.has(d))return;let n=f0(d);if(!n)return;g.dlcIndexers?.set(d,n),Q.app.workspace.onLayoutReady(()=>{n.start({initialRebuild:!1}).catch((c0)=>{SQ.error("semantic-search: DLC auto-subscribe failed",{providerKey:d,error:c0 instanceof Error?c0.message:String(c0)})})})};for(let d of["embedding-gemma-300m","multilingual-e5-base"])if(r[g.settings.provider]===d&&F.isReady(d))p0(d);let u0=r[g.settings.provider];if(u0&&D.includes(u0))Q.app.workspace.onLayoutReady(()=>{if(u0==="native-minilm-l6-v2")g.startIndexerIfNeeded?.();else g.startRebuildFor?.(u0)});return g.teardown=async()=>{if(a)try{await _.stop()}catch{}if(g.dlcIndexers){for(let[d,n]of g.dlcIndexers)try{await n.stop()}catch(c0){SQ.warn("semantic-search: DLC indexer stop failed",{providerKey:d,error:c0 instanceof Error?c0.message:String(c0)})}g.dlcIndexers.clear()}try{await N.unload()}catch{}try{await F.closeAll()}catch{}},g}else SQ.error("Semantic search setup failed",{error:b.error});return}var ZIQ={"native-minilm-l6-v2":384,"embedding-gemma-300m":768,"multilingual-e5-base":768};async function FIQ(Q,J,G){let H=[],K={};for(let z of jK0){let q=await Q.storeFor(z,ZIQ[z]).probe();if(!q)continue;if(q.version<UB)H.push(z);else if(q.version===UB&&q.recordCount>0)Q.markReady(z),K[z]=q.recordCount}for(let z of H){let q=`${G}/${z}`;try{await J.remove(`${q}/embeddings.bin`),await J.remove(`${q}/embeddings.index.json`),await J.remove(`${q}/embeddings.index.json.writing`).catch(()=>{}),await J.remove(`${q}/mtimes.json`).catch(()=>{}),await J.remove(`${q}/embeddings.meta.json`).catch(()=>{})}catch(F){SQ.warn("semantic-search: failed to wipe stale index directory",{dir:q,error:F instanceof Error?F.message:String(F)})}}return{staleKeys:H,probedCounts:K}}class DX0 extends Xw.Plugin{mcpTransportState;promptsState;semanticSearchState;smartSearch;async checkCommandPermission(Q){return q30({app:this.app,store:new n9(this)},Q)}async onload(){await gj0(this);let Q=await AF(this);if(Q.success){this.mcpTransportState=Q.state;let J=await uj0(Q.state.mcp.promptRegistry,this.app);if(J.success)this.promptsState=J.state;else SQ.error("Prompts feature setup failed",{error:J.error})}else new Xw.Notice(`MCP Connector: ${Q.error}`),SQ.error("MCP transport setup failed",{error:Q.error});try{this.semanticSearchState=await kS0(this)}catch(J){SQ.error("Semantic search wiring failed",{error:J instanceof Error?J.message:String(J)})}yS0.lastValueFrom(yK0(this)).then((J)=>{if(this.smartSearch=J.api,this.smartSearch)SQ.info("Smart Connections detected — `search_vault_smart` can use it");else SQ.debug("Smart Connections not installed — `search_vault_smart` falls back to the native provider unless reconfigured")}).catch((J)=>{SQ.debug("Smart Connections load skipped",{error:J instanceof Error?J.message:String(J)})}),SQ.info("MCP Tools Plugin loaded")}async onunload(){if(this.promptsState)pj0(this.promptsState),this.promptsState=void 0;if(this.mcpTransportState)await KF(this.mcpTransportState),this.mcpTransportState=void 0;if(this.semanticSearchState)await TK0(this.semanticSearchState),this.semanticSearchState=void 0}}

/* nosourcemap */