diff --git a/CHANGELOG.md b/CHANGELOG.md index 3aceb31d..ab65a2cb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,6 @@ # @vladmandic/human -Version: **1.1.5** +Version: **1.1.6** Description: **Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition** Author: **Vladimir Mandic ** @@ -9,6 +9,10 @@ Repository: **** ## Changelog +### **1.1.6** 2021/03/15 mandic00@live.com + +- implement human.match and embedding demo + ### **1.1.5** 2021/03/15 mandic00@live.com - full rebuild diff --git a/dist/demo-browser-index.js b/dist/demo-browser-index.js index 16f00330..f39ef96f 100644 --- a/dist/demo-browser-index.js +++ b/dist/demo-browser-index.js @@ -4889,7 +4889,7 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 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this.tf.dispose(a),s});this.tf=Eh,this.draw=R2,ia(this,B0,E2),this.version=C2,this.config=Zc(gt,t),this.state="idle",ia(this,ru,0),ia(this,Yc,!1),ia(this,Jc,!1),ia(this,Bi,!0),ia(this,Je,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=n=>T2(n,this.config),this.classes={facemesh:M2,age:Lg,gender:Vg,emotion:Xg,body:this.config.body.modelPath.includes("posenet")?f2:I2,hand:b2},this.sysinfo=K2()}profileData(){return this.config.profile?Pg:{}}simmilarity(t,n){return this.config.face.embedding.enabled?e2(t,n):0}enhance(t){return t2(t)}match(t,n,r=0){return L6(t,n,r)}async load(t={}){this.state="load";let n=mt();t&&(this.config=Zc(this.config,t)),Ne(this,Bi)&&(this.config.debug&&Fe(`version: ${this.version}`),this.config.debug&&Fe(`tfjs version: ${this.tf.version_core}`),this.config.debug&&Fe("platform:",this.sysinfo.platform),this.config.debug&&Fe("agent:",this.sysinfo.agent),await Ne(this,Qc).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&Fe("configuration:",this.config),this.config.debug&&Fe("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?M2.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Wg(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Gg(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?Yg(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?Qg(this.config):null),this.models.handpose||(this.config.hand.enabled?k2(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?A2(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?N2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await M2.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Wg(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Gg(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await Yg(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await Qg(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await k2(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await A2(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await N2(this.config))),Ne(this,Bi)&&(this.config.debug&&Fe("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ia(this,Bi,!1));let r=Math.trunc(mt()-n);r>(Ne(this,Je).load||0)&&(Ne(this,Je).load=r)}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=Zc(this.config,n),this.state="check";let s=Ne(this,V0).call(this,t);s&&(Fe(s,t),r({error:s}));let i=mt();await Ne(this,Qc).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),Ne(this,qt).call(this,"Start Scope:"),a=mt();let o=T2(t,this.config);if(!o||!o.tensor){Fe("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}Ne(this,Je).image=Math.trunc(mt()-a),Ne(this,qt).call(this,"Get Image:");let l,u,c;this.config.async?(c=this.config.face.enabled?Ne(this,eh).call(this,o.tensor):[],Ne(this,Je).face&&delete Ne(this,Je).face):(this.state="run:face",a=mt(),c=this.config.face.enabled?await Ne(this,eh).call(this,o.tensor):[],Ne(this,Je).face=Math.trunc(mt()-a)),Ne(this,qt).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(o.tensor,this.config):[]:l=this.config.body.enabled?S2(o.tensor,this.config):[],Ne(this,Je).body&&delete Ne(this,Je).body):(this.state="run:body",a=mt(),this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(o.tensor,this.config)):[]:l=this.config.body.enabled?await S2(o.tensor,this.config):[],Ne(this,Je).body=Math.trunc(mt()-a)),Ne(this,qt).call(this,"End Body:"),Ne(this,qt).call(this,"Start Hand:"),this.config.async?(u=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],Ne(this,Je).hand&&delete Ne(this,Je).hand):(this.state="run:hand",a=mt(),u=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(o.tensor,this.config)):[],Ne(this,Je).hand=Math.trunc(mt()-a)),Ne(this,qt).call(this,"End Hand:"),this.config.async&&([c,l,u]=await Promise.all([c,l,u])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),Ne(this,qt).call(this,"End Scope:");let h=[];this.config.gesture.enabled&&(a=mt(),h=[...f4(c),...p4(l),...A4(u),...m4(c)],this.config.async?Ne(this,Je).gesture&&delete Ne(this,Je).gesture:Ne(this,Je).gesture=Math.trunc(mt()-a)),Ne(this,Je).total=Math.trunc(mt()-i),this.state="idle",r({face:c,body:l,hand:u,gesture:h,performance:Ne(this,Je),canvas:o.canvas})})}async warmup(t={}){let n=mt();t&&(this.config=Zc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await Ne(this,H0).call(this):typeof Image!="undefined"?a=await Ne(this,j0).call(this):a=await Ne(this,G0).call(this),this.config.videoOptimized=r;let s=mt();return this.config.debug&&Fe("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};B0=new WeakMap,Je=new WeakMap,ru=new WeakMap,Yc=new WeakMap,Jc=new WeakMap,Bi=new WeakMap,qt=new WeakMap,V0=new WeakMap,Qc=new WeakMap,U0=new WeakMap,eh=new WeakMap,H0=new WeakMap,j0=new WeakMap,G0=new WeakMap;var th=0,L4=!1,kt={background:"darkslategray",hover:"lightgray",itemBackground:"black",itemColor:"white",buttonBackground:"lightblue",buttonHover:"lightgreen",checkboxOn:"lightgreen",checkboxOff:"lightcoral",rangeBackground:"lightblue",rangeLabel:"white",chartColor:"lightblue"};function Sse(){if(L4)return;let e=` +2Q==`;var E2={};xr(E2,{author:()=>I4,browser:()=>v4,bugs:()=>N4,default:()=>kse,description:()=>x4,devDependencies:()=>M4,engines:()=>E4,homepage:()=>S4,keywords:()=>F4,license:()=>T4,main:()=>b4,module:()=>_4,name:()=>g4,repository:()=>C4,scripts:()=>R4,sideEffects:()=>w4,types:()=>k4,version:()=>C2});var g4="@vladmandic/human",C2="1.1.6",x4="Human: AI-powered 3D Face Detection, Face 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R2={};xr(R2,{all:()=>Nse,body:()=>z4,canvas:()=>Ise,drawOptions:()=>de,face:()=>O4,gesture:()=>D4,hand:()=>P4});var de={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe UI"',lineHeight:20,lineWidth:6,pointSize:2,roundRect:28,drawPoints:!1,drawLabels:!0,drawBoxes:!0,drawPolygons:!0,fillPolygons:!1,useDepth:!0,useCurves:!1,bufferedOutput:!1};function L0(e,t,n,r=null){e.fillStyle=de.useDepth&&r?`rgba(${127.5+2*(r||0)}, ${127.5-2*(r||0)}, 255, 0.3)`:de.color,e.beginPath(),e.arc(t,n,de.pointSize,0,2*Math.PI),e.fill()}function $4(e,t,n,r,a){if(e.beginPath(),de.useCurves){let s=(t+t+r)/2,i=(n+n+a)/2;e.ellipse(s,i,r/2,a/2,0,0,2*Math.PI)}else e.lineWidth=de.lineWidth,e.moveTo(t+de.roundRect,n),e.lineTo(t+r-de.roundRect,n),e.quadraticCurveTo(t+r,n,t+r,n+de.roundRect),e.lineTo(t+r,n+a-de.roundRect),e.quadraticCurveTo(t+r,n+a,t+r-de.roundRect,n+a),e.lineTo(t+de.roundRect,n+a),e.quadraticCurveTo(t,n+a,t,n+a-de.roundRect),e.lineTo(t,n+de.roundRect),e.quadraticCurveTo(t,n,t+de.roundRect,n),e.closePath();e.stroke()}function F2(e,t=[]){if(!(t===void 0||t.length===0)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let n of t)e.strokeStyle=de.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:de.color,e.fillStyle=de.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:de.color,e.lineTo(n[0],parseInt(n[1]));e.stroke(),de.fillPolygons&&(e.closePath(),e.fill())}}function W0(e,t=[]){if(!(t===void 0||t.length===0)){if(!de.useCurves||t.length<=2){F2(e,t);return}e.moveTo(t[0][0],t[0][1]);for(let n=0;n1&&i[1].length>0){let o=s[1]>0?`#${s[1]}`:"",l=`${s[0]} ${o}: ${i[1]}`;de.shadowColor&&de.shadowColor!==""&&(n.fillStyle=de.shadowColor,n.fillText(l,8,2+r*de.lineHeight)),n.fillStyle=de.labelColor,n.fillText(l,6,0+r*de.lineHeight),r+=1}}}async function O4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n)for(let r of t){n.font=de.font,n.strokeStyle=de.color,n.fillStyle=de.color,de.drawBoxes&&$4(n,r.box[0],r.box[1],r.box[2],r.box[3]);let a=[];if(a.push(`face confidence: ${Math.trunc(100*r.confidence)}%`),r.genderConfidence&&a.push(`${r.gender||""} ${Math.trunc(100*r.genderConfidence)}% confident`),r.age&&a.push(`age: ${r.age||""}`),r.iris&&a.push(`iris distance: ${r.iris}`),r.emotion&&r.emotion.length>0){let s=r.emotion.map(i=>`${Math.trunc(100*i.score)}% ${i.emotion}`);a.push(s.join(" "))}r.angle&&r.angle.roll&&a.push(`roll: ${Math.trunc(100*r.angle.roll)/100} yaw:${Math.trunc(100*r.angle.yaw)/100} pitch:${Math.trunc(100*r.angle.pitch)/100}`),a.length===0&&a.push("face"),n.fillStyle=de.color;for(let s=a.length-1;s>=0;s--){let i=Math.max(r.box[0],0),o=s*de.lineHeight+r.box[1];de.shadowColor&&de.shadowColor!==""&&(n.fillStyle=de.shadowColor,n.fillText(a[s],i+5,o+16)),n.fillStyle=de.labelColor,n.fillText(a[s],i+4,o+15)}if(n.lineWidth=1,r.mesh){if(de.drawPoints)for(let s of r.mesh)L0(n,s[0],s[1],s[2]);if(de.drawPolygons){n.lineWidth=1;for(let s=0;sr.mesh[o]);F2(n,i)}if(r.annotations&&r.annotations.leftEyeIris){n.strokeStyle=de.useDepth?"rgba(255, 200, 255, 0.3)":de.color,n.beginPath();let s=Math.abs(r.annotations.leftEyeIris[3][0]-r.annotations.leftEyeIris[1][0])/2,i=Math.abs(r.annotations.leftEyeIris[4][1]-r.annotations.leftEyeIris[2][1])/2;n.ellipse(r.annotations.leftEyeIris[0][0],r.annotations.leftEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),de.fillPolygons&&(n.fillStyle=de.useDepth?"rgba(255, 255, 200, 0.3)":de.color,n.fill())}if(r.annotations&&r.annotations.rightEyeIris){n.strokeStyle=de.useDepth?"rgba(255, 200, 255, 0.3)":de.color,n.beginPath();let s=Math.abs(r.annotations.rightEyeIris[3][0]-r.annotations.rightEyeIris[1][0])/2,i=Math.abs(r.annotations.rightEyeIris[4][1]-r.annotations.rightEyeIris[2][1])/2;n.ellipse(r.annotations.rightEyeIris[0][0],r.annotations.rightEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),de.fillPolygons&&(n.fillStyle=de.useDepth?"rgba(255, 255, 200, 0.3)":de.color,n.fill())}}}}}var os=[];async function z4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round";for(let r=0;ri.part==="leftShoulder"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),s.length===5&&F2(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftKnee"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftAnkle"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHeel"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftFoot"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),W0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightKnee"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightAnkle"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHeel"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightFoot"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),W0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftElbow"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftWrist"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftPalm"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),W0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightElbow"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightWrist"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightPalm"),a&&a.score>gt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),W0(n,s)}}}}async function P4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round",n.font=de.font;for(let r of t){if(de.drawBoxes&&(n.strokeStyle=de.color,n.fillStyle=de.color,$4(n,r.box[0],r.box[1],r.box[2],r.box[3]),de.shadowColor&&de.shadowColor!==""&&(n.fillStyle=de.shadowColor,n.fillText("hand",r.box[0]+3,1+r.box[1]+de.lineHeight,r.box[2])),n.fillStyle=de.labelColor,n.fillText("hand",r.box[0]+2,0+r.box[1]+de.lineHeight,r.box[2]),n.stroke()),de.drawPoints&&r.landmarks&&r.landmarks.length>0)for(let a of r.landmarks)n.fillStyle=de.useDepth?`rgba(${127.5+2*a[2]}, ${127.5-2*a[2]}, 255, 0.5)`:de.color,L0(n,a[0],a[1]);if(de.drawPolygons){let a=s=>{if(!!s)for(let i=0;i0?i-1:0][0],s[i>0?i-1:0][1]),n.lineTo(s[i][0],s[i][1]),n.stroke()};a(r.annotations.indexFinger),a(r.annotations.middleFinger),a(r.annotations.ringFinger),a(r.annotations.pinky),a(r.annotations.thumb)}}}}async function Ise(e,t){if(!e||!t||!(e instanceof HTMLCanvasElement)||!(t instanceof HTMLCanvasElement))return;let n=e.getContext("2d");n==null||n.drawImage(e,0,0)}async function Nse(e,t){!t||!e||e instanceof HTMLCanvasElement&&(O4(e,t.face),z4(e,t.body),P4(e,t.hand),D4(e,t.gesture))}var mt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Zc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Zc(s,i):n[a]=i}),n),{})}var B0,Je,ru,Yc,Jc,Bi,qt,V0,Qc,U0,eh,H0,j0,G0,$2=class{constructor(t={}){B0.set(this,void 0);Je.set(this,void 0);ru.set(this,void 0);Yc.set(this,void 0);Jc.set(this,void 0);Bi.set(this,void 0);qt.set(this,(...t)=>{if(!Ne(this,Yc))return;let n=this.tf.engine().state.numTensors,r=Ne(this,ru);ia(this,ru,n);let a=n-r;a!==0&&Fe(...t,a)});V0.set(this,t=>{if(!Ne(this,Jc))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Ge))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Qc.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=mt();if(this.state="backend",this.config.backend&&this.config.backend!==""){if(this.config.debug&&Fe("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&Fe("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let r=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),a=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&Fe(`wasm execution: ${r?"SIMD":"no SIMD"} ${a?"multithreaded":"singlethreaded"}`),r||Fe("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&S6();try{await this.tf.setBackend(this.config.backend)}catch(r){Fe("error: cannot set backend:",this.config.backend,r)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Fe("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&Fe(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),Ne(this,Je).backend=Math.trunc(mt()-n)}});U0.set(this,t=>{if(!t||t.length<300)return{roll:null,yaw:null,pitch:null};let n=(s,i,o,l)=>Math.atan2(l-i,o-s),r=s=>Math.abs(s*180/Math.PI%360);return{roll:n(t[33][0],t[33][1],t[263][0],t[263][1]),yaw:n(t[33][0],t[33][2],t[263][0],t[263][2]),pitch:n(t[10][1],t[10][2],t[152][1],t[152][2])}});eh.set(this,async t=>{var u,c,h,d,p,f,m;let n,r,a,s,i,o=[];this.state="run:face",n=mt();let l=await((u=this.models.face)==null?void 0:u.estimateFaces(t,this.config));if(Ne(this,Je).face=Math.trunc(mt()-n),!l)return[];for(let A of l){if(Ne(this,qt).call(this,"Get Face"),!A.image||A.image.isDisposedInternal){Fe("Face object is disposed:",A.image);continue}let y=Ne(this,U0).call(this,A.mesh);Ne(this,qt).call(this,"Start Age:"),this.config.async?r=this.config.face.age.enabled?Bg(A.image,this.config):{}:(this.state="run:age",n=mt(),r=this.config.face.age.enabled?await Bg(A.image,this.config):{},Ne(this,Je).age=Math.trunc(mt()-n)),Ne(this,qt).call(this,"Start Gender:"),this.config.async?a=this.config.face.gender.enabled?qg(A.image,this.config):{}:(this.state="run:gender",n=mt(),a=this.config.face.gender.enabled?await qg(A.image,this.config):{},Ne(this,Je).gender=Math.trunc(mt()-n)),Ne(this,qt).call(this,"Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?Jg(A.image,this.config):{}:(this.state="run:emotion",n=mt(),s=this.config.face.emotion.enabled?await Jg(A.image,this.config):{},Ne(this,Je).emotion=Math.trunc(mt()-n)),Ne(this,qt).call(this,"End Emotion:"),Ne(this,qt).call(this,"Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?n2(A,this.config):[]:(this.state="run:embedding",n=mt(),i=this.config.face.embedding.enabled?await n2(A,this.config):[],Ne(this,Je).embedding=Math.trunc(mt()-n)),Ne(this,qt).call(this,"End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),Ne(this,qt).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((c=A==null?void 0:A.annotations)==null?void 0:c.leftEyeIris)&&((h=A==null?void 0:A.annotations)==null?void 0:h.rightEyeIris)&&(delete A.annotations.leftEyeIris,delete A.annotations.rightEyeIris);let g=((d=A.annotations)==null?void 0:d.leftEyeIris)&&((p=A.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(A.annotations.leftEyeIris[3][0]-A.annotations.leftEyeIris[1][0]),Math.abs(A.annotations.rightEyeIris[4][1]-A.annotations.rightEyeIris[2][1])):0;o.push({...A,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:g!==0?Math.trunc(g)/100:0,angle:y,tensor:this.config.face.detector.return?(f=A.image)==null?void 0:f.squeeze():null}),(m=A.image)==null||m.dispose(),Ne(this,qt).call(this,"End Face")}return Ne(this,qt).call(this,"End FaceMesh:"),this.config.async&&(Ne(this,Je).face&&delete Ne(this,Je).face,Ne(this,Je).age&&delete Ne(this,Je).age,Ne(this,Je).gender&&delete Ne(this,Je).gender,Ne(this,Je).emotion&&delete Ne(this,Je).emotion),o});H0.set(this,async()=>{let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(z0);break;case"full":n=await t(P0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r});j0.set(this,async()=>new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+z0;break;case"full":case"body":r=1200,n="data:image/jpeg;base64,"+P0;break;default:n=null}let a=new Image;a.onload=async()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=a.naturalWidth,s.height=a.naturalHeight;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=await this.detect(s,this.config);t(o)},n?a.src=n:t(null)}));G0.set(this,async()=>{let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(z0):t(P0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s});this.tf=Eh,this.draw=R2,ia(this,B0,E2),this.version=C2,this.config=Zc(gt,t),this.state="idle",ia(this,ru,0),ia(this,Yc,!1),ia(this,Jc,!1),ia(this,Bi,!0),ia(this,Je,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=n=>T2(n,this.config),this.classes={facemesh:M2,age:Lg,gender:Vg,emotion:Xg,body:this.config.body.modelPath.includes("posenet")?f2:I2,hand:b2},this.sysinfo=K2()}profileData(){return this.config.profile?Pg:{}}simmilarity(t,n){return this.config.face.embedding.enabled?e2(t,n):0}enhance(t){return t2(t)}match(t,n,r=0){return L6(t,n,r)}async load(t={}){this.state="load";let n=mt();t&&(this.config=Zc(this.config,t)),Ne(this,Bi)&&(this.config.debug&&Fe(`version: ${this.version}`),this.config.debug&&Fe(`tfjs version: ${this.tf.version_core}`),this.config.debug&&Fe("platform:",this.sysinfo.platform),this.config.debug&&Fe("agent:",this.sysinfo.agent),await Ne(this,Qc).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&Fe("configuration:",this.config),this.config.debug&&Fe("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?M2.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Wg(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Gg(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?Yg(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?Qg(this.config):null),this.models.handpose||(this.config.hand.enabled?k2(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?A2(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?N2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await M2.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Wg(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Gg(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await Yg(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await Qg(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await k2(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await A2(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await N2(this.config))),Ne(this,Bi)&&(this.config.debug&&Fe("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ia(this,Bi,!1));let r=Math.trunc(mt()-n);r>(Ne(this,Je).load||0)&&(Ne(this,Je).load=r)}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=Zc(this.config,n),this.state="check";let s=Ne(this,V0).call(this,t);s&&(Fe(s,t),r({error:s}));let i=mt();await Ne(this,Qc).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),Ne(this,qt).call(this,"Start Scope:"),a=mt();let o=T2(t,this.config);if(!o||!o.tensor){Fe("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}Ne(this,Je).image=Math.trunc(mt()-a),Ne(this,qt).call(this,"Get Image:");let l,u,c;this.config.async?(c=this.config.face.enabled?Ne(this,eh).call(this,o.tensor):[],Ne(this,Je).face&&delete Ne(this,Je).face):(this.state="run:face",a=mt(),c=this.config.face.enabled?await Ne(this,eh).call(this,o.tensor):[],Ne(this,Je).face=Math.trunc(mt()-a)),Ne(this,qt).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(o.tensor,this.config):[]:l=this.config.body.enabled?S2(o.tensor,this.config):[],Ne(this,Je).body&&delete Ne(this,Je).body):(this.state="run:body",a=mt(),this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(o.tensor,this.config)):[]:l=this.config.body.enabled?await S2(o.tensor,this.config):[],Ne(this,Je).body=Math.trunc(mt()-a)),Ne(this,qt).call(this,"End Body:"),Ne(this,qt).call(this,"Start Hand:"),this.config.async?(u=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],Ne(this,Je).hand&&delete Ne(this,Je).hand):(this.state="run:hand",a=mt(),u=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(o.tensor,this.config)):[],Ne(this,Je).hand=Math.trunc(mt()-a)),Ne(this,qt).call(this,"End Hand:"),this.config.async&&([c,l,u]=await Promise.all([c,l,u])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),Ne(this,qt).call(this,"End Scope:");let h=[];this.config.gesture.enabled&&(a=mt(),h=[...f4(c),...p4(l),...A4(u),...m4(c)],this.config.async?Ne(this,Je).gesture&&delete Ne(this,Je).gesture:Ne(this,Je).gesture=Math.trunc(mt()-a)),Ne(this,Je).total=Math.trunc(mt()-i),this.state="idle",r({face:c,body:l,hand:u,gesture:h,performance:Ne(this,Je),canvas:o.canvas})})}async warmup(t={}){let n=mt();t&&(this.config=Zc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await Ne(this,H0).call(this):typeof Image!="undefined"?a=await Ne(this,j0).call(this):a=await Ne(this,G0).call(this),this.config.videoOptimized=r;let s=mt();return this.config.debug&&Fe("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};B0=new WeakMap,Je=new WeakMap,ru=new WeakMap,Yc=new WeakMap,Jc=new WeakMap,Bi=new WeakMap,qt=new WeakMap,V0=new WeakMap,Qc=new WeakMap,U0=new WeakMap,eh=new WeakMap,H0=new WeakMap,j0=new WeakMap,G0=new WeakMap;var th=0,L4=!1,kt={background:"darkslategray",hover:"lightgray",itemBackground:"black",itemColor:"white",buttonBackground:"lightblue",buttonHover:"lightgreen",checkboxOn:"lightgreen",checkboxOff:"lightcoral",rangeBackground:"lightblue",rangeLabel:"white",chartColor:"lightblue"};function Sse(){if(L4)return;let e=` :root { --rounded: 0.1rem; } .menu { position: absolute; top: 0rem; right: 0; width: max-content; padding: 0 0.2rem 0 0.2rem; line-height: 1.8rem; z-index: 10; box-shadow: 0 0 8px dimgrey; background: ${kt.background}; border-radius: var(--rounded); border-color: black; border-style: solid; border-width: thin; } diff --git a/dist/human.esm-nobundle.js b/dist/human.esm-nobundle.js index 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u(this,Pe).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&T("configuration:",this.config),this.config.debug&&T("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?s0.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?w1(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?p1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?v1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?M1(this.config):null),this.models.handpose||(this.config.hand.enabled?$1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?Y1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?t0(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await s0.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await w1(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await p1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await v1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await M1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await $1(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await Y1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await t0(this.config))),u(this,ae)&&(this.config.debug&&T("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ne(this,ae,!1));let A=Math.trunc(E()-t);A>(u(this,z).load||0)&&(u(this,z).load=A)}async detect(e,t={}){return new Promise(async A=>{var l,m,f,x;this.state="config";let r;this.config=be(this.config,t),this.state="check";let c=u(this,Qe).call(this,e);c&&(T(c,e),A({error:c}));let _=E();await u(this,Pe).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),u(this,k).call(this,"Start Scope:"),r=E();let h=r0(e,this.config);if(!h||!h.tensor){T("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}u(this,z).image=Math.trunc(E()-r),u(this,k).call(this,"Get Image:");let o,i,a;this.config.async?(a=this.config.face.enabled?u(this,ve).call(this,h.tensor):[],u(this,z).face&&delete u(this,z).face):(this.state="run:face",r=E(),a=this.config.face.enabled?await u(this,ve).call(this,h.tensor):[],u(this,z).face=Math.trunc(E()-r)),u(this,k).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?(l=this.models.posenet)==null?void 0:l.estimatePoses(h.tensor,this.config):[]:o=this.config.body.enabled?n0(h.tensor,this.config):[],u(this,z).body&&delete u(this,z).body):(this.state="run:body",r=E(),this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?await((m=this.models.posenet)==null?void 0:m.estimatePoses(h.tensor,this.config)):[]:o=this.config.body.enabled?await n0(h.tensor,this.config):[],u(this,z).body=Math.trunc(E()-r)),u(this,k).call(this,"End Body:"),u(this,k).call(this,"Start Hand:"),this.config.async?(i=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(h.tensor,this.config):[],u(this,z).hand&&delete u(this,z).hand):(this.state="run:hand",r=E(),i=this.config.hand.enabled?await((x=this.models.handpose)==null?void 0:x.estimateHands(h.tensor,this.config)):[],u(this,z).hand=Math.trunc(E()-r)),u(this,k).call(this,"End Hand:"),this.config.async&&([a,o,i]=await Promise.all([a,o,i])),h.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),u(this,k).call(this,"End Scope:");let s=[];this.config.gesture.enabled&&(r=E(),s=[...ht(a),..._t(o),...st(i),...ot(a)],this.config.async?u(this,z).gesture&&delete u(this,z).gesture:u(this,z).gesture=Math.trunc(E()-r)),u(this,z).total=Math.trunc(E()-_),this.state="idle",A({face:a,body:o,hand:i,gesture:s,performance:u(this,z),canvas:h.canvas})})}async warmup(e={}){let t=E();e&&(this.config=be(this.config,e));let A=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await u(this,e1).call(this):typeof Image!="undefined"?r=await u(this,t1).call(this):r=await u(this,n1).call(this),this.config.videoOptimized=A;let c=E();return this.config.debug&&T("Warmup",this.config.warmup,Math.round(c-t),"ms",r),r}};Ge=new WeakMap,z=new WeakMap,me=new WeakMap,ge=new WeakMap,Te=new WeakMap,ae=new WeakMap,k=new WeakMap,Qe=new WeakMap,Pe=new WeakMap,$e=new WeakMap,ve=new WeakMap,e1=new WeakMap,t1=new WeakMap,n1=new WeakMap;export{jt as Human,jt as default}; +2Q==`;var A0={};U(A0,{author:()=>mt,browser:()=>dt,bugs:()=>ut,default:()=>In,description:()=>yt,devDependencies:()=>zt,engines:()=>gt,homepage:()=>pt,keywords:()=>vt,license:()=>bt,main:()=>wt,module:()=>lt,name:()=>xt,repository:()=>Tt,scripts:()=>Pt,sideEffects:()=>at,types:()=>ft,version:()=>c0});var xt="@vladmandic/human",c0="1.1.6",yt="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",at=!1,wt="dist/human.node.js",lt="dist/human.esm.js",dt="dist/human.esm.js",ft="types/src/human.d.ts",mt="Vladimir Mandic 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start"},vt=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition","blazeface","blazepose"],zt={"@microsoft/api-extractor":"^7.13.2","@tensorflow/tfjs":"^3.3.0","@tensorflow/tfjs-backend-cpu":"^3.3.0","@tensorflow/tfjs-backend-wasm":"^3.3.0","@tensorflow/tfjs-backend-webgl":"^3.3.0","@tensorflow/tfjs-converter":"^3.3.0","@tensorflow/tfjs-core":"^3.3.0","@tensorflow/tfjs-data":"^3.3.0","@tensorflow/tfjs-layers":"^3.3.0","@tensorflow/tfjs-node":"^3.3.0","@tensorflow/tfjs-node-gpu":"^3.3.0","@types/node":"^14.14.34","@typescript-eslint/eslint-plugin":"^4.17.0","@typescript-eslint/parser":"^4.17.0","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.9.2",eslint:"^7.22.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2","simple-git":"^2.36.2",tslib:"^2.1.0",typedoc:"^0.20.32",typescript:"^4.2.3"},In={name:xt,version:c0,description:yt,sideEffects:at,main:wt,module:lt,browser:dt,types:ft,author:mt,bugs:ut,homepage:pt,license:bt,engines:gt,repository:Tt,scripts:Pt,keywords:vt,devDependencies:zt};var 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n.lineWidth=d.lineWidth,n.moveTo(e+d.roundRect,t),n.lineTo(e+A-d.roundRect,t),n.quadraticCurveTo(e+A,t,e+A,t+d.roundRect),n.lineTo(e+A,t+r-d.roundRect),n.quadraticCurveTo(e+A,t+r,e+A-d.roundRect,t+r),n.lineTo(e+d.roundRect,t+r),n.quadraticCurveTo(e,t+r,e,t+r-d.roundRect),n.lineTo(e,t+d.roundRect),n.quadraticCurveTo(e,t,e+d.roundRect,t),n.closePath();n.stroke()}function h0(n,e=[]){if(!(e===void 0||e.length===0)){n.beginPath(),n.moveTo(e[0][0],e[0][1]);for(let t of e)n.strokeStyle=d.useDepth&&t[2]?`rgba(${127.5+2*t[2]}, ${127.5-2*t[2]}, 255, 0.3)`:d.color,n.fillStyle=d.useDepth&&t[2]?`rgba(${127.5+2*t[2]}, ${127.5-2*t[2]}, 255, 0.3)`:d.color,n.lineTo(t[0],parseInt(t[1]));n.stroke(),d.fillPolygons&&(n.closePath(),n.fill())}}function De(n,e=[]){if(!(e===void 0||e.length===0)){if(!d.useCurves||e.length<=2){h0(n,e);return}n.moveTo(e[0][0],e[0][1]);for(let t=0;t1&&_[1].length>0){let h=c[1]>0?`#${c[1]}`:"",o=`${c[0]} ${h}: 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c=r.length-1;c>=0;c--){let _=Math.max(A.box[0],0),h=c*d.lineHeight+A.box[1];d.shadowColor&&d.shadowColor!==""&&(t.fillStyle=d.shadowColor,t.fillText(r[c],_+5,h+16)),t.fillStyle=d.labelColor,t.fillText(r[c],_+4,h+15)}if(t.lineWidth=1,A.mesh){if(d.drawPoints)for(let c of A.mesh)Ue(t,c[0],c[1],c[2]);if(d.drawPolygons){t.lineWidth=1;for(let c=0;cA.mesh[h]);h0(t,_)}if(A.annotations&&A.annotations.leftEyeIris){t.strokeStyle=d.useDepth?"rgba(255, 200, 255, 0.3)":d.color,t.beginPath();let c=Math.abs(A.annotations.leftEyeIris[3][0]-A.annotations.leftEyeIris[1][0])/2,_=Math.abs(A.annotations.leftEyeIris[4][1]-A.annotations.leftEyeIris[2][1])/2;t.ellipse(A.annotations.leftEyeIris[0][0],A.annotations.leftEyeIris[0][1],c,_,0,0,2*Math.PI),t.stroke(),d.fillPolygons&&(t.fillStyle=d.useDepth?"rgba(255, 255, 200, 0.3)":d.color,t.fill())}if(A.annotations&&A.annotations.rightEyeIris){t.strokeStyle=d.useDepth?"rgba(255, 200, 255, 0.3)":d.color,t.beginPath();let 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backend:",this.config.backend,A)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(T("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let A=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&T(`gl version:${A.getParameter(A.VERSION)} renderer:${A.getParameter(A.RENDERER)}`)}await this.tf.ready(),u(this,z).backend=Math.trunc(E()-t)}});$e.set(this,e=>{if(!e||e.length<300)return{roll:null,yaw:null,pitch:null};let t=(c,_,h,o)=>Math.atan2(o-_,h-c),A=c=>Math.abs(c*180/Math.PI%360);return{roll:t(e[33][0],e[33][1],e[263][0],e[263][1]),yaw:t(e[33][0],e[33][2],e[263][0],e[263][2]),pitch:t(e[10][1],e[10][2],e[152][1],e[152][2])}});ve.set(this,async e=>{var i,a,s,l,m,f,x;let t,A,r,c,_,h=[];this.state="run:face",t=E();let o=await((i=this.models.face)==null?void 0:i.estimateFaces(e,this.config));if(u(this,z).face=Math.trunc(E()-t),!o)return[];for(let g of o){if(u(this,k).call(this,"Get Face"),!g.image||g.image.isDisposedInternal){T("Face object is disposed:",g.image);continue}let Z=u(this,$e).call(this,g.mesh);u(this,k).call(this,"Start Age:"),this.config.async?A=this.config.face.age.enabled?l1(g.image,this.config):{}:(this.state="run:age",t=E(),A=this.config.face.age.enabled?await l1(g.image,this.config):{},u(this,z).age=Math.trunc(E()-t)),u(this,k).call(this,"Start Gender:"),this.config.async?r=this.config.face.gender.enabled?b1(g.image,this.config):{}:(this.state="run:gender",t=E(),r=this.config.face.gender.enabled?await b1(g.image,this.config):{},u(this,z).gender=Math.trunc(E()-t)),u(this,k).call(this,"Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?z1(g.image,this.config):{}:(this.state="run:emotion",t=E(),c=this.config.face.emotion.enabled?await z1(g.image,this.config):{},u(this,z).emotion=Math.trunc(E()-t)),u(this,k).call(this,"End Emotion:"),u(this,k).call(this,"Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?S1(g,this.config):[]:(this.state="run:embedding",t=E(),_=this.config.face.embedding.enabled?await S1(g,this.config):[],u(this,z).embedding=Math.trunc(E()-t)),u(this,k).call(this,"End Emotion:"),this.config.async&&([A,r,c,_]=await Promise.all([A,r,c,_])),u(this,k).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((a=g==null?void 0:g.annotations)==null?void 0:a.leftEyeIris)&&((s=g==null?void 0:g.annotations)==null?void 0:s.rightEyeIris)&&(delete g.annotations.leftEyeIris,delete g.annotations.rightEyeIris);let V=((l=g.annotations)==null?void 0:l.leftEyeIris)&&((m=g.annotations)==null?void 0:m.rightEyeIris)?11.7*Math.max(Math.abs(g.annotations.leftEyeIris[3][0]-g.annotations.leftEyeIris[1][0]),Math.abs(g.annotations.rightEyeIris[4][1]-g.annotations.rightEyeIris[2][1])):0;h.push({...g,age:A.age,gender:r.gender,genderConfidence:r.confidence,emotion:c,embedding:_,iris:V!==0?Math.trunc(V)/100:0,angle:Z,tensor:this.config.face.detector.return?(f=g.image)==null?void 0:f.squeeze():null}),(x=g.image)==null||x.dispose(),u(this,k).call(this,"End Face")}return u(this,k).call(this,"End FaceMesh:"),this.config.async&&(u(this,z).face&&delete u(this,z).face,u(this,z).age&&delete u(this,z).age,u(this,z).gender&&delete u(this,z).gender,u(this,z).emotion&&delete u(this,z).emotion),h});e1.set(this,async()=>{let e=(r,c="application/octet-stream")=>fetch(`data:${c};base64,${r}`).then(_=>_.blob()),t,A;switch(this.config.warmup){case"face":t=await e(Je);break;case"full":t=await e(Ke);break;default:t=null}if(t){let r=await createImageBitmap(t);A=await this.detect(r,this.config),r.close()}return A});t1.set(this,async()=>new Promise(e=>{let t,A=0;switch(this.config.warmup){case"face":A=256,t="data:image/jpeg;base64,"+Je;break;case"full":case"body":A=1200,t="data:image/jpeg;base64,"+Ke;break;default:t=null}let r=new Image;r.onload=async()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(A,A):document.createElement("canvas");c.width=r.naturalWidth,c.height=r.naturalHeight;let _=c.getContext("2d");_==null||_.drawImage(r,0,0);let h=await this.detect(c,this.config);e(h)},t?r.src=t:e(null)}));n1.set(this,async()=>{let e=_=>Buffer.from(_,"base64"),t=this.config.warmup==="face"?e(Je):e(Ke),A=o0.node.decodeJpeg(t),r=A.expandDims(0);this.tf.dispose(A);let c=await this.detect(r,this.config);return this.tf.dispose(r),c});this.tf=o0,this.draw=_0,ne(this,Ge,A0),this.version=c0,this.config=be(S,e),this.state="idle",ne(this,me,0),ne(this,ge,!1),ne(this,Te,!1),ne(this,ae,!0),ne(this,z,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=t=>r0(t,this.config),this.classes={facemesh:s0,age:a1,gender:d1,emotion:g1,body:this.config.body.modelPath.includes("posenet")?F1:e0,hand:U1},this.sysinfo=l0()}profileData(){return this.config.profile?y1:{}}simmilarity(e,t){return this.config.face.embedding.enabled?E1(e,t):0}enhance(e){return R1(e)}match(e,t,A=0){return R0(e,t,A)}async load(e={}){this.state="load";let t=E();e&&(this.config=be(this.config,e)),u(this,ae)&&(this.config.debug&&T(`version: ${this.version}`),this.config.debug&&T(`tfjs version: ${this.tf.version_core}`),this.config.debug&&T("platform:",this.sysinfo.platform),this.config.debug&&T("agent:",this.sysinfo.agent),await u(this,Pe).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&T("configuration:",this.config),this.config.debug&&T("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?s0.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?w1(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?p1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?v1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?M1(this.config):null),this.models.handpose||(this.config.hand.enabled?$1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?Y1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?t0(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await s0.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await w1(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await p1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await v1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await M1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await $1(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await Y1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await t0(this.config))),u(this,ae)&&(this.config.debug&&T("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ne(this,ae,!1));let A=Math.trunc(E()-t);A>(u(this,z).load||0)&&(u(this,z).load=A)}async detect(e,t={}){return new Promise(async A=>{var l,m,f,x;this.state="config";let r;this.config=be(this.config,t),this.state="check";let c=u(this,Qe).call(this,e);c&&(T(c,e),A({error:c}));let _=E();await u(this,Pe).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),u(this,k).call(this,"Start Scope:"),r=E();let h=r0(e,this.config);if(!h||!h.tensor){T("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}u(this,z).image=Math.trunc(E()-r),u(this,k).call(this,"Get Image:");let o,i,a;this.config.async?(a=this.config.face.enabled?u(this,ve).call(this,h.tensor):[],u(this,z).face&&delete u(this,z).face):(this.state="run:face",r=E(),a=this.config.face.enabled?await u(this,ve).call(this,h.tensor):[],u(this,z).face=Math.trunc(E()-r)),u(this,k).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?(l=this.models.posenet)==null?void 0:l.estimatePoses(h.tensor,this.config):[]:o=this.config.body.enabled?n0(h.tensor,this.config):[],u(this,z).body&&delete u(this,z).body):(this.state="run:body",r=E(),this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?await((m=this.models.posenet)==null?void 0:m.estimatePoses(h.tensor,this.config)):[]:o=this.config.body.enabled?await n0(h.tensor,this.config):[],u(this,z).body=Math.trunc(E()-r)),u(this,k).call(this,"End Body:"),u(this,k).call(this,"Start Hand:"),this.config.async?(i=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(h.tensor,this.config):[],u(this,z).hand&&delete u(this,z).hand):(this.state="run:hand",r=E(),i=this.config.hand.enabled?await((x=this.models.handpose)==null?void 0:x.estimateHands(h.tensor,this.config)):[],u(this,z).hand=Math.trunc(E()-r)),u(this,k).call(this,"End Hand:"),this.config.async&&([a,o,i]=await Promise.all([a,o,i])),h.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),u(this,k).call(this,"End Scope:");let s=[];this.config.gesture.enabled&&(r=E(),s=[...ht(a),..._t(o),...st(i),...ot(a)],this.config.async?u(this,z).gesture&&delete u(this,z).gesture:u(this,z).gesture=Math.trunc(E()-r)),u(this,z).total=Math.trunc(E()-_),this.state="idle",A({face:a,body:o,hand:i,gesture:s,performance:u(this,z),canvas:h.canvas})})}async warmup(e={}){let t=E();e&&(this.config=be(this.config,e));let A=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await u(this,e1).call(this):typeof Image!="undefined"?r=await u(this,t1).call(this):r=await u(this,n1).call(this),this.config.videoOptimized=A;let c=E();return this.config.debug&&T("Warmup",this.config.warmup,Math.round(c-t),"ms",r),r}};Ge=new WeakMap,z=new WeakMap,me=new WeakMap,ge=new WeakMap,Te=new WeakMap,ae=new WeakMap,k=new WeakMap,Qe=new WeakMap,Pe=new WeakMap,$e=new WeakMap,ve=new WeakMap,e1=new WeakMap,t1=new WeakMap,n1=new WeakMap;export{jt as Human,jt as default}; //# sourceMappingURL=human.esm-nobundle.js.map diff --git a/dist/human.esm.js b/dist/human.esm.js index 563141e7..3f2d474a 100644 --- a/dist/human.esm.js +++ b/dist/human.esm.js @@ -4889,7 +4889,7 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;var pg={};pr(pg,{author:()=>l4,browser:()=>i4,bugs:()=>u4,default:()=>tse,description:()=>n4,devDependencies:()=>A4,engines:()=>d4,homepage:()=>c4,keywords:()=>m4,license:()=>h4,main:()=>a4,module:()=>s4,name:()=>t4,repository:()=>p4,scripts:()=>f4,sideEffects:()=>r4,types:()=>o4,version:()=>fg});var t4="@vladmandic/human",fg="1.1.5",n4="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",r4=!1,a4="dist/human.node.js",s4="dist/human.esm.js",i4="dist/human.esm.js",o4="types/src/human.d.ts",l4="Vladimir Mandic ",u4={url:"https://github.com/vladmandic/human/issues"},c4="https://vladmandic.github.io/human/demo/index.html",h4="MIT",d4={node:">=12.0.0"},p4={type:"git",url:"git+https://github.com/vladmandic/human.git"},f4={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation demo/node.js",dev:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/serve.js",build:"rimraf dist/* types/* typedoc/* && node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/build.js",lint:"eslint src server demo",test:"npm run lint && npm run start"},m4=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition","blazeface","blazepose"],A4={"@microsoft/api-extractor":"^7.13.2","@tensorflow/tfjs":"^3.3.0","@tensorflow/tfjs-backend-cpu":"^3.3.0","@tensorflow/tfjs-backend-wasm":"^3.3.0","@tensorflow/tfjs-backend-webgl":"^3.3.0","@tensorflow/tfjs-converter":"^3.3.0","@tensorflow/tfjs-core":"^3.3.0","@tensorflow/tfjs-data":"^3.3.0","@tensorflow/tfjs-layers":"^3.3.0","@tensorflow/tfjs-node":"^3.3.0","@tensorflow/tfjs-node-gpu":"^3.3.0","@types/node":"^14.14.34","@typescript-eslint/eslint-plugin":"^4.17.0","@typescript-eslint/parser":"^4.17.0","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.9.2",eslint:"^7.22.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2","simple-git":"^2.36.2",tslib:"^2.1.0",typedoc:"^0.20.32",typescript:"^4.2.3"},tse={name:t4,version:fg,description:n4,sideEffects:r4,main:a4,module:s4,browser:i4,types:o4,author:l4,bugs:u4,homepage:c4,license:h4,engines:d4,repository:p4,scripts:f4,keywords:m4,devDependencies:A4};var mg={};pr(mg,{all:()=>rse,body:()=>w4,canvas:()=>nse,drawOptions:()=>ce,face:()=>x4,gesture:()=>g4,hand:()=>_4});var ce={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe UI"',lineHeight:20,lineWidth:6,pointSize:2,roundRect:28,drawPoints:!1,drawLabels:!0,drawBoxes:!0,drawPolygons:!0,fillPolygons:!1,useDepth:!0,useCurves:!1,bufferedOutput:!1};function S0(e,t,n,r=null){e.fillStyle=ce.useDepth&&r?`rgba(${127.5+2*(r||0)}, ${127.5-2*(r||0)}, 255, 0.3)`:ce.color,e.beginPath(),e.arc(t,n,ce.pointSize,0,2*Math.PI),e.fill()}function y4(e,t,n,r,a){if(e.beginPath(),ce.useCurves){let s=(t+t+r)/2,i=(n+n+a)/2;e.ellipse(s,i,r/2,a/2,0,0,2*Math.PI)}else e.lineWidth=ce.lineWidth,e.moveTo(t+ce.roundRect,n),e.lineTo(t+r-ce.roundRect,n),e.quadraticCurveTo(t+r,n,t+r,n+ce.roundRect),e.lineTo(t+r,n+a-ce.roundRect),e.quadraticCurveTo(t+r,n+a,t+r-ce.roundRect,n+a),e.lineTo(t+ce.roundRect,n+a),e.quadraticCurveTo(t,n+a,t,n+a-ce.roundRect),e.lineTo(t,n+ce.roundRect),e.quadraticCurveTo(t,n,t+ce.roundRect,n),e.closePath();e.stroke()}function Ag(e,t=[]){if(!(t===void 0||t.length===0)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let n of t)e.strokeStyle=ce.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:ce.color,e.fillStyle=ce.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:ce.color,e.lineTo(n[0],parseInt(n[1]));e.stroke(),ce.fillPolygons&&(e.closePath(),e.fill())}}function T0(e,t=[]){if(!(t===void 0||t.length===0)){if(!ce.useCurves||t.length<=2){Ag(e,t);return}e.moveTo(t[0][0],t[0][1]);for(let n=0;n1&&i[1].length>0){let o=s[1]>0?`#${s[1]}`:"",l=`${s[0]} ${o}: ${i[1]}`;ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText(l,8,2+r*ce.lineHeight)),n.fillStyle=ce.labelColor,n.fillText(l,6,0+r*ce.lineHeight),r+=1}}}async function x4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n)for(let r of t){n.font=ce.font,n.strokeStyle=ce.color,n.fillStyle=ce.color,ce.drawBoxes&&y4(n,r.box[0],r.box[1],r.box[2],r.box[3]);let a=[];if(a.push(`face confidence: ${Math.trunc(100*r.confidence)}%`),r.genderConfidence&&a.push(`${r.gender||""} ${Math.trunc(100*r.genderConfidence)}% confident`),r.age&&a.push(`age: ${r.age||""}`),r.iris&&a.push(`iris distance: ${r.iris}`),r.emotion&&r.emotion.length>0){let s=r.emotion.map(i=>`${Math.trunc(100*i.score)}% ${i.emotion}`);a.push(s.join(" "))}r.angle&&r.angle.roll&&a.push(`roll: ${Math.trunc(100*r.angle.roll)/100} yaw:${Math.trunc(100*r.angle.yaw)/100} pitch:${Math.trunc(100*r.angle.pitch)/100}`),a.length===0&&a.push("face"),n.fillStyle=ce.color;for(let s=a.length-1;s>=0;s--){let i=Math.max(r.box[0],0),o=s*ce.lineHeight+r.box[1];ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText(a[s],i+5,o+16)),n.fillStyle=ce.labelColor,n.fillText(a[s],i+4,o+15)}if(n.lineWidth=1,r.mesh){if(ce.drawPoints)for(let s of r.mesh)S0(n,s[0],s[1],s[2]);if(ce.drawPolygons){n.lineWidth=1;for(let s=0;sr.mesh[o]);Ag(n,i)}if(r.annotations&&r.annotations.leftEyeIris){n.strokeStyle=ce.useDepth?"rgba(255, 200, 255, 0.3)":ce.color,n.beginPath();let s=Math.abs(r.annotations.leftEyeIris[3][0]-r.annotations.leftEyeIris[1][0])/2,i=Math.abs(r.annotations.leftEyeIris[4][1]-r.annotations.leftEyeIris[2][1])/2;n.ellipse(r.annotations.leftEyeIris[0][0],r.annotations.leftEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),ce.fillPolygons&&(n.fillStyle=ce.useDepth?"rgba(255, 255, 200, 0.3)":ce.color,n.fill())}if(r.annotations&&r.annotations.rightEyeIris){n.strokeStyle=ce.useDepth?"rgba(255, 200, 255, 0.3)":ce.color,n.beginPath();let s=Math.abs(r.annotations.rightEyeIris[3][0]-r.annotations.rightEyeIris[1][0])/2,i=Math.abs(r.annotations.rightEyeIris[4][1]-r.annotations.rightEyeIris[2][1])/2;n.ellipse(r.annotations.rightEyeIris[0][0],r.annotations.rightEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),ce.fillPolygons&&(n.fillStyle=ce.useDepth?"rgba(255, 255, 200, 0.3)":ce.color,n.fill())}}}}}var ts=[];async function w4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round";for(let r=0;ri.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),s.length===5&&Ag(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftKnee"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftAnkle"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHeel"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftFoot"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightKnee"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightAnkle"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHeel"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightFoot"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftElbow"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftWrist"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftPalm"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightElbow"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightWrist"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightPalm"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s)}}}}async function _4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round",n.font=ce.font;for(let r of t){if(ce.drawBoxes&&(n.strokeStyle=ce.color,n.fillStyle=ce.color,y4(n,r.box[0],r.box[1],r.box[2],r.box[3]),ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText("hand",r.box[0]+3,1+r.box[1]+ce.lineHeight,r.box[2])),n.fillStyle=ce.labelColor,n.fillText("hand",r.box[0]+2,0+r.box[1]+ce.lineHeight,r.box[2]),n.stroke()),ce.drawPoints&&r.landmarks&&r.landmarks.length>0)for(let a of r.landmarks)n.fillStyle=ce.useDepth?`rgba(${127.5+2*a[2]}, ${127.5-2*a[2]}, 255, 0.5)`:ce.color,S0(n,a[0],a[1]);if(ce.drawPolygons){let a=s=>{if(!!s)for(let i=0;i0?i-1:0][0],s[i>0?i-1:0][1]),n.lineTo(s[i][0],s[i][1]),n.stroke()};a(r.annotations.indexFinger),a(r.annotations.middleFinger),a(r.annotations.ringFinger),a(r.annotations.pinky),a(r.annotations.thumb)}}}}async function nse(e,t){if(!e||!t||!(e instanceof HTMLCanvasElement)||!(t instanceof HTMLCanvasElement))return;let n=e.getContext("2d");n==null||n.drawImage(e,0,0)}async function rse(e,t){!t||!e||e instanceof HTMLCanvasElement&&(x4(e,t.face),w4(e,t.body),_4(e,t.hand),g4(e,t.gesture))}var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Bc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Bc(s,i):n[a]=i}),n),{})}var C0,Ke,Xl,Vc,Uc,$i,Ut,E0,Hc,R0,jc,F0,M0,$0,b4=class{constructor(t={}){C0.set(this,void 0);Ke.set(this,void 0);Xl.set(this,void 0);Vc.set(this,void 0);Uc.set(this,void 0);$i.set(this,void 0);Ut.set(this,(...t)=>{if(!ve(this,Vc))return;let n=this.tf.engine().state.numTensors,r=ve(this,Xl);ea(this,Xl,n);let a=n-r;a!==0&&Ce(...t,a)});E0.set(this,t=>{if(!ve(this,Uc))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Ue))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Hc.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=dt();if(this.state="backend",this.config.backend&&this.config.backend!==""){if(this.config.debug&&Ce("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&Ce("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let r=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),a=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&Ce(`wasm execution: ${r?"SIMD":"no SIMD"} ${a?"multithreaded":"singlethreaded"}`),r||Ce("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&c6();try{await this.tf.setBackend(this.config.backend)}catch(r){Ce("error: cannot set backend:",this.config.backend,r)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Ce("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&Ce(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),ve(this,Ke).backend=Math.trunc(dt()-n)}});R0.set(this,t=>{if(!t||t.length<300)return{roll:null,yaw:null,pitch:null};let n=(s,i,o,l)=>Math.atan2(l-i,o-s),r=s=>Math.abs(s*180/Math.PI%360);return{roll:n(t[33][0],t[33][1],t[263][0],t[263][1]),yaw:n(t[33][0],t[33][2],t[263][0],t[263][2]),pitch:n(t[10][1],t[10][2],t[152][1],t[152][2])}});jc.set(this,async t=>{var u,c,h,d,p,f,m;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((u=this.models.face)==null?void 0:u.estimateFaces(t,this.config));if(ve(this,Ke).face=Math.trunc(dt()-n),!l)return[];for(let A of l){if(ve(this,Ut).call(this,"Get Face"),!A.image||A.image.isDisposedInternal){Ce("Face object is disposed:",A.image);continue}let y=ve(this,R0).call(this,A.mesh);ve(this,Ut).call(this,"Start Age:"),this.config.async?r=this.config.face.age.enabled?N2(A.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await N2(A.image,this.config):{},ve(this,Ke).age=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Gender:"),this.config.async?a=this.config.face.gender.enabled?R2(A.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await R2(A.image,this.config):{},ve(this,Ke).gender=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?O2(A.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await O2(A.image,this.config):{},ve(this,Ke).emotion=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),ve(this,Ut).call(this,"Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?W2(A,this.config):[]:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await W2(A,this.config):[],ve(this,Ke).embedding=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),ve(this,Ut).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((c=A==null?void 0:A.annotations)==null?void 0:c.leftEyeIris)&&((h=A==null?void 0:A.annotations)==null?void 0:h.rightEyeIris)&&(delete A.annotations.leftEyeIris,delete A.annotations.rightEyeIris);let g=((d=A.annotations)==null?void 0:d.leftEyeIris)&&((p=A.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(A.annotations.leftEyeIris[3][0]-A.annotations.leftEyeIris[1][0]),Math.abs(A.annotations.rightEyeIris[4][1]-A.annotations.rightEyeIris[2][1])):0;o.push({...A,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:g!==0?Math.trunc(g)/100:0,angle:y,tensor:this.config.face.detector.return?(f=A.image)==null?void 0:f.squeeze():null}),(m=A.image)==null||m.dispose(),ve(this,Ut).call(this,"End Face")}return ve(this,Ut).call(this,"End FaceMesh:"),this.config.async&&(ve(this,Ke).face&&delete ve(this,Ke).face,ve(this,Ke).age&&delete ve(this,Ke).age,ve(this,Ke).gender&&delete ve(this,Ke).gender,ve(this,Ke).emotion&&delete ve(this,Ke).emotion),o});F0.set(this,async()=>{let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(N0);break;case"full":n=await t(I0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r});M0.set(this,async()=>new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+N0;break;case"full":case"body":r=1200,n="data:image/jpeg;base64,"+I0;break;default:n=null}let a=new Image;a.onload=async()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=a.naturalWidth,s.height=a.naturalHeight;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=await this.detect(s,this.config);t(o)},n?a.src=n:t(null)}));$0.set(this,async()=>{let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(N0):t(I0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s});this.tf=yh,this.draw=mg,ea(this,C0,pg),this.version=fg,this.config=Bc(mt,t),this.state="idle",ea(this,Xl,0),ea(this,Vc,!1),ea(this,Uc,!1),ea(this,$i,!0),ea(this,Ke,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=n=>dg(n,this.config),this.classes={facemesh:yg,age:v2,gender:I2,emotion:F2,body:this.config.body.modelPath.includes("posenet")?J2:ug,hand:sg},this.sysinfo=Fg()}profileData(){return this.config.profile?b2:{}}simmilarity(t,n){return this.config.face.embedding.enabled?P2(t,n):0}enhance(t){return L2(t)}match(t,n,r=0){return b6(t,n,r)}async load(t={}){this.state="load";let n=dt();t&&(this.config=Bc(this.config,t)),ve(this,$i)&&(this.config.debug&&Ce(`version: ${this.version}`),this.config.debug&&Ce(`tfjs version: ${this.tf.version_core}`),this.config.debug&&Ce("platform:",this.sysinfo.platform),this.config.debug&&Ce("agent:",this.sysinfo.agent),await ve(this,Hc).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&Ce("configuration:",this.config),this.config.debug&&Ce("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?yg.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?k2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?E2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?D2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?z2(this.config):null),this.models.handpose||(this.config.hand.enabled?lg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?eg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?cg(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await yg.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await k2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await E2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await D2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await z2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await lg(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await eg(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await cg(this.config))),ve(this,$i)&&(this.config.debug&&Ce("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ea(this,$i,!1));let r=Math.trunc(dt()-n);r>(ve(this,Ke).load||0)&&(ve(this,Ke).load=r)}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=Bc(this.config,n),this.state="check";let s=ve(this,E0).call(this,t);s&&(Ce(s,t),r({error:s}));let i=dt();await ve(this,Hc).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),ve(this,Ut).call(this,"Start Scope:"),a=dt();let o=dg(t,this.config);if(!o||!o.tensor){Ce("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}ve(this,Ke).image=Math.trunc(dt()-a),ve(this,Ut).call(this,"Get Image:");let l,u,c;this.config.async?(c=this.config.face.enabled?ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face&&delete ve(this,Ke).face):(this.state="run:face",a=dt(),c=this.config.face.enabled?await ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face=Math.trunc(dt()-a)),ve(this,Ut).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(o.tensor,this.config):[]:l=this.config.body.enabled?hg(o.tensor,this.config):[],ve(this,Ke).body&&delete ve(this,Ke).body):(this.state="run:body",a=dt(),this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(o.tensor,this.config)):[]:l=this.config.body.enabled?await hg(o.tensor,this.config):[],ve(this,Ke).body=Math.trunc(dt()-a)),ve(this,Ut).call(this,"End Body:"),ve(this,Ut).call(this,"Start Hand:"),this.config.async?(u=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],ve(this,Ke).hand&&delete ve(this,Ke).hand):(this.state="run:hand",a=dt(),u=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(o.tensor,this.config)):[],ve(this,Ke).hand=Math.trunc(dt()-a)),ve(this,Ut).call(this,"End Hand:"),this.config.async&&([c,l,u]=await Promise.all([c,l,u])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),ve(this,Ut).call(this,"End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...Y6(c),...Z6(l),...Q6(u),...J6(c)],this.config.async?ve(this,Ke).gesture&&delete ve(this,Ke).gesture:ve(this,Ke).gesture=Math.trunc(dt()-a)),ve(this,Ke).total=Math.trunc(dt()-i),this.state="idle",r({face:c,body:l,hand:u,gesture:h,performance:ve(this,Ke),canvas:o.canvas})})}async warmup(t={}){let n=dt();t&&(this.config=Bc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await ve(this,F0).call(this):typeof Image!="undefined"?a=await ve(this,M0).call(this):a=await ve(this,$0).call(this),this.config.videoOptimized=r;let s=dt();return this.config.debug&&Ce("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};C0=new WeakMap,Ke=new WeakMap,Xl=new WeakMap,Vc=new WeakMap,Uc=new WeakMap,$i=new WeakMap,Ut=new WeakMap,E0=new WeakMap,Hc=new WeakMap,R0=new WeakMap,jc=new WeakMap,F0=new WeakMap,M0=new WeakMap,$0=new WeakMap;export{b4 as Human,b4 as default}; +2Q==`;var pg={};pr(pg,{author:()=>l4,browser:()=>i4,bugs:()=>u4,default:()=>tse,description:()=>n4,devDependencies:()=>A4,engines:()=>d4,homepage:()=>c4,keywords:()=>m4,license:()=>h4,main:()=>a4,module:()=>s4,name:()=>t4,repository:()=>p4,scripts:()=>f4,sideEffects:()=>r4,types:()=>o4,version:()=>fg});var t4="@vladmandic/human",fg="1.1.6",n4="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",r4=!1,a4="dist/human.node.js",s4="dist/human.esm.js",i4="dist/human.esm.js",o4="types/src/human.d.ts",l4="Vladimir Mandic ",u4={url:"https://github.com/vladmandic/human/issues"},c4="https://vladmandic.github.io/human/demo/index.html",h4="MIT",d4={node:">=12.0.0"},p4={type:"git",url:"git+https://github.com/vladmandic/human.git"},f4={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation demo/node.js",dev:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/serve.js",build:"rimraf dist/* types/* typedoc/* && node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/build.js",lint:"eslint src server demo",test:"npm run lint && npm run start"},m4=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition","blazeface","blazepose"],A4={"@microsoft/api-extractor":"^7.13.2","@tensorflow/tfjs":"^3.3.0","@tensorflow/tfjs-backend-cpu":"^3.3.0","@tensorflow/tfjs-backend-wasm":"^3.3.0","@tensorflow/tfjs-backend-webgl":"^3.3.0","@tensorflow/tfjs-converter":"^3.3.0","@tensorflow/tfjs-core":"^3.3.0","@tensorflow/tfjs-data":"^3.3.0","@tensorflow/tfjs-layers":"^3.3.0","@tensorflow/tfjs-node":"^3.3.0","@tensorflow/tfjs-node-gpu":"^3.3.0","@types/node":"^14.14.34","@typescript-eslint/eslint-plugin":"^4.17.0","@typescript-eslint/parser":"^4.17.0","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.9.2",eslint:"^7.22.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2","simple-git":"^2.36.2",tslib:"^2.1.0",typedoc:"^0.20.32",typescript:"^4.2.3"},tse={name:t4,version:fg,description:n4,sideEffects:r4,main:a4,module:s4,browser:i4,types:o4,author:l4,bugs:u4,homepage:c4,license:h4,engines:d4,repository:p4,scripts:f4,keywords:m4,devDependencies:A4};var mg={};pr(mg,{all:()=>rse,body:()=>w4,canvas:()=>nse,drawOptions:()=>ce,face:()=>x4,gesture:()=>g4,hand:()=>_4});var ce={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe UI"',lineHeight:20,lineWidth:6,pointSize:2,roundRect:28,drawPoints:!1,drawLabels:!0,drawBoxes:!0,drawPolygons:!0,fillPolygons:!1,useDepth:!0,useCurves:!1,bufferedOutput:!1};function S0(e,t,n,r=null){e.fillStyle=ce.useDepth&&r?`rgba(${127.5+2*(r||0)}, ${127.5-2*(r||0)}, 255, 0.3)`:ce.color,e.beginPath(),e.arc(t,n,ce.pointSize,0,2*Math.PI),e.fill()}function y4(e,t,n,r,a){if(e.beginPath(),ce.useCurves){let s=(t+t+r)/2,i=(n+n+a)/2;e.ellipse(s,i,r/2,a/2,0,0,2*Math.PI)}else e.lineWidth=ce.lineWidth,e.moveTo(t+ce.roundRect,n),e.lineTo(t+r-ce.roundRect,n),e.quadraticCurveTo(t+r,n,t+r,n+ce.roundRect),e.lineTo(t+r,n+a-ce.roundRect),e.quadraticCurveTo(t+r,n+a,t+r-ce.roundRect,n+a),e.lineTo(t+ce.roundRect,n+a),e.quadraticCurveTo(t,n+a,t,n+a-ce.roundRect),e.lineTo(t,n+ce.roundRect),e.quadraticCurveTo(t,n,t+ce.roundRect,n),e.closePath();e.stroke()}function Ag(e,t=[]){if(!(t===void 0||t.length===0)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let n of t)e.strokeStyle=ce.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:ce.color,e.fillStyle=ce.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:ce.color,e.lineTo(n[0],parseInt(n[1]));e.stroke(),ce.fillPolygons&&(e.closePath(),e.fill())}}function T0(e,t=[]){if(!(t===void 0||t.length===0)){if(!ce.useCurves||t.length<=2){Ag(e,t);return}e.moveTo(t[0][0],t[0][1]);for(let n=0;n1&&i[1].length>0){let o=s[1]>0?`#${s[1]}`:"",l=`${s[0]} ${o}: ${i[1]}`;ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText(l,8,2+r*ce.lineHeight)),n.fillStyle=ce.labelColor,n.fillText(l,6,0+r*ce.lineHeight),r+=1}}}async function x4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n)for(let r of t){n.font=ce.font,n.strokeStyle=ce.color,n.fillStyle=ce.color,ce.drawBoxes&&y4(n,r.box[0],r.box[1],r.box[2],r.box[3]);let a=[];if(a.push(`face confidence: ${Math.trunc(100*r.confidence)}%`),r.genderConfidence&&a.push(`${r.gender||""} ${Math.trunc(100*r.genderConfidence)}% confident`),r.age&&a.push(`age: ${r.age||""}`),r.iris&&a.push(`iris distance: ${r.iris}`),r.emotion&&r.emotion.length>0){let s=r.emotion.map(i=>`${Math.trunc(100*i.score)}% ${i.emotion}`);a.push(s.join(" "))}r.angle&&r.angle.roll&&a.push(`roll: ${Math.trunc(100*r.angle.roll)/100} yaw:${Math.trunc(100*r.angle.yaw)/100} pitch:${Math.trunc(100*r.angle.pitch)/100}`),a.length===0&&a.push("face"),n.fillStyle=ce.color;for(let s=a.length-1;s>=0;s--){let i=Math.max(r.box[0],0),o=s*ce.lineHeight+r.box[1];ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText(a[s],i+5,o+16)),n.fillStyle=ce.labelColor,n.fillText(a[s],i+4,o+15)}if(n.lineWidth=1,r.mesh){if(ce.drawPoints)for(let s of r.mesh)S0(n,s[0],s[1],s[2]);if(ce.drawPolygons){n.lineWidth=1;for(let s=0;sr.mesh[o]);Ag(n,i)}if(r.annotations&&r.annotations.leftEyeIris){n.strokeStyle=ce.useDepth?"rgba(255, 200, 255, 0.3)":ce.color,n.beginPath();let s=Math.abs(r.annotations.leftEyeIris[3][0]-r.annotations.leftEyeIris[1][0])/2,i=Math.abs(r.annotations.leftEyeIris[4][1]-r.annotations.leftEyeIris[2][1])/2;n.ellipse(r.annotations.leftEyeIris[0][0],r.annotations.leftEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),ce.fillPolygons&&(n.fillStyle=ce.useDepth?"rgba(255, 255, 200, 0.3)":ce.color,n.fill())}if(r.annotations&&r.annotations.rightEyeIris){n.strokeStyle=ce.useDepth?"rgba(255, 200, 255, 0.3)":ce.color,n.beginPath();let s=Math.abs(r.annotations.rightEyeIris[3][0]-r.annotations.rightEyeIris[1][0])/2,i=Math.abs(r.annotations.rightEyeIris[4][1]-r.annotations.rightEyeIris[2][1])/2;n.ellipse(r.annotations.rightEyeIris[0][0],r.annotations.rightEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),ce.fillPolygons&&(n.fillStyle=ce.useDepth?"rgba(255, 255, 200, 0.3)":ce.color,n.fill())}}}}}var ts=[];async function w4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round";for(let r=0;ri.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),s.length===5&&Ag(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftKnee"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftAnkle"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHeel"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftFoot"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightKnee"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightAnkle"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHeel"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightFoot"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftElbow"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftWrist"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftPalm"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightElbow"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightWrist"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightPalm"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s)}}}}async function _4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round",n.font=ce.font;for(let r of t){if(ce.drawBoxes&&(n.strokeStyle=ce.color,n.fillStyle=ce.color,y4(n,r.box[0],r.box[1],r.box[2],r.box[3]),ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText("hand",r.box[0]+3,1+r.box[1]+ce.lineHeight,r.box[2])),n.fillStyle=ce.labelColor,n.fillText("hand",r.box[0]+2,0+r.box[1]+ce.lineHeight,r.box[2]),n.stroke()),ce.drawPoints&&r.landmarks&&r.landmarks.length>0)for(let a of r.landmarks)n.fillStyle=ce.useDepth?`rgba(${127.5+2*a[2]}, ${127.5-2*a[2]}, 255, 0.5)`:ce.color,S0(n,a[0],a[1]);if(ce.drawPolygons){let a=s=>{if(!!s)for(let i=0;i0?i-1:0][0],s[i>0?i-1:0][1]),n.lineTo(s[i][0],s[i][1]),n.stroke()};a(r.annotations.indexFinger),a(r.annotations.middleFinger),a(r.annotations.ringFinger),a(r.annotations.pinky),a(r.annotations.thumb)}}}}async function nse(e,t){if(!e||!t||!(e instanceof HTMLCanvasElement)||!(t instanceof HTMLCanvasElement))return;let n=e.getContext("2d");n==null||n.drawImage(e,0,0)}async function rse(e,t){!t||!e||e instanceof HTMLCanvasElement&&(x4(e,t.face),w4(e,t.body),_4(e,t.hand),g4(e,t.gesture))}var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Bc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Bc(s,i):n[a]=i}),n),{})}var C0,Ke,Xl,Vc,Uc,$i,Ut,E0,Hc,R0,jc,F0,M0,$0,b4=class{constructor(t={}){C0.set(this,void 0);Ke.set(this,void 0);Xl.set(this,void 0);Vc.set(this,void 0);Uc.set(this,void 0);$i.set(this,void 0);Ut.set(this,(...t)=>{if(!ve(this,Vc))return;let n=this.tf.engine().state.numTensors,r=ve(this,Xl);ea(this,Xl,n);let a=n-r;a!==0&&Ce(...t,a)});E0.set(this,t=>{if(!ve(this,Uc))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Ue))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Hc.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=dt();if(this.state="backend",this.config.backend&&this.config.backend!==""){if(this.config.debug&&Ce("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&Ce("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let r=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),a=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&Ce(`wasm execution: ${r?"SIMD":"no SIMD"} ${a?"multithreaded":"singlethreaded"}`),r||Ce("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&c6();try{await this.tf.setBackend(this.config.backend)}catch(r){Ce("error: cannot set backend:",this.config.backend,r)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Ce("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&Ce(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),ve(this,Ke).backend=Math.trunc(dt()-n)}});R0.set(this,t=>{if(!t||t.length<300)return{roll:null,yaw:null,pitch:null};let n=(s,i,o,l)=>Math.atan2(l-i,o-s),r=s=>Math.abs(s*180/Math.PI%360);return{roll:n(t[33][0],t[33][1],t[263][0],t[263][1]),yaw:n(t[33][0],t[33][2],t[263][0],t[263][2]),pitch:n(t[10][1],t[10][2],t[152][1],t[152][2])}});jc.set(this,async t=>{var u,c,h,d,p,f,m;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((u=this.models.face)==null?void 0:u.estimateFaces(t,this.config));if(ve(this,Ke).face=Math.trunc(dt()-n),!l)return[];for(let A of l){if(ve(this,Ut).call(this,"Get Face"),!A.image||A.image.isDisposedInternal){Ce("Face object is disposed:",A.image);continue}let y=ve(this,R0).call(this,A.mesh);ve(this,Ut).call(this,"Start Age:"),this.config.async?r=this.config.face.age.enabled?N2(A.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await N2(A.image,this.config):{},ve(this,Ke).age=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Gender:"),this.config.async?a=this.config.face.gender.enabled?R2(A.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await R2(A.image,this.config):{},ve(this,Ke).gender=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?O2(A.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await O2(A.image,this.config):{},ve(this,Ke).emotion=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),ve(this,Ut).call(this,"Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?W2(A,this.config):[]:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await W2(A,this.config):[],ve(this,Ke).embedding=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),ve(this,Ut).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((c=A==null?void 0:A.annotations)==null?void 0:c.leftEyeIris)&&((h=A==null?void 0:A.annotations)==null?void 0:h.rightEyeIris)&&(delete A.annotations.leftEyeIris,delete A.annotations.rightEyeIris);let g=((d=A.annotations)==null?void 0:d.leftEyeIris)&&((p=A.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(A.annotations.leftEyeIris[3][0]-A.annotations.leftEyeIris[1][0]),Math.abs(A.annotations.rightEyeIris[4][1]-A.annotations.rightEyeIris[2][1])):0;o.push({...A,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:g!==0?Math.trunc(g)/100:0,angle:y,tensor:this.config.face.detector.return?(f=A.image)==null?void 0:f.squeeze():null}),(m=A.image)==null||m.dispose(),ve(this,Ut).call(this,"End Face")}return ve(this,Ut).call(this,"End FaceMesh:"),this.config.async&&(ve(this,Ke).face&&delete ve(this,Ke).face,ve(this,Ke).age&&delete ve(this,Ke).age,ve(this,Ke).gender&&delete ve(this,Ke).gender,ve(this,Ke).emotion&&delete ve(this,Ke).emotion),o});F0.set(this,async()=>{let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(N0);break;case"full":n=await t(I0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r});M0.set(this,async()=>new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+N0;break;case"full":case"body":r=1200,n="data:image/jpeg;base64,"+I0;break;default:n=null}let a=new Image;a.onload=async()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=a.naturalWidth,s.height=a.naturalHeight;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=await this.detect(s,this.config);t(o)},n?a.src=n:t(null)}));$0.set(this,async()=>{let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(N0):t(I0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s});this.tf=yh,this.draw=mg,ea(this,C0,pg),this.version=fg,this.config=Bc(mt,t),this.state="idle",ea(this,Xl,0),ea(this,Vc,!1),ea(this,Uc,!1),ea(this,$i,!0),ea(this,Ke,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=n=>dg(n,this.config),this.classes={facemesh:yg,age:v2,gender:I2,emotion:F2,body:this.config.body.modelPath.includes("posenet")?J2:ug,hand:sg},this.sysinfo=Fg()}profileData(){return this.config.profile?b2:{}}simmilarity(t,n){return this.config.face.embedding.enabled?P2(t,n):0}enhance(t){return L2(t)}match(t,n,r=0){return b6(t,n,r)}async load(t={}){this.state="load";let n=dt();t&&(this.config=Bc(this.config,t)),ve(this,$i)&&(this.config.debug&&Ce(`version: ${this.version}`),this.config.debug&&Ce(`tfjs version: ${this.tf.version_core}`),this.config.debug&&Ce("platform:",this.sysinfo.platform),this.config.debug&&Ce("agent:",this.sysinfo.agent),await ve(this,Hc).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&Ce("configuration:",this.config),this.config.debug&&Ce("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?yg.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?k2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?E2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?D2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?z2(this.config):null),this.models.handpose||(this.config.hand.enabled?lg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?eg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?cg(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await yg.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await k2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await E2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await D2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await z2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await lg(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await eg(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await cg(this.config))),ve(this,$i)&&(this.config.debug&&Ce("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ea(this,$i,!1));let r=Math.trunc(dt()-n);r>(ve(this,Ke).load||0)&&(ve(this,Ke).load=r)}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=Bc(this.config,n),this.state="check";let s=ve(this,E0).call(this,t);s&&(Ce(s,t),r({error:s}));let i=dt();await ve(this,Hc).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),ve(this,Ut).call(this,"Start Scope:"),a=dt();let o=dg(t,this.config);if(!o||!o.tensor){Ce("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}ve(this,Ke).image=Math.trunc(dt()-a),ve(this,Ut).call(this,"Get Image:");let l,u,c;this.config.async?(c=this.config.face.enabled?ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face&&delete ve(this,Ke).face):(this.state="run:face",a=dt(),c=this.config.face.enabled?await ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face=Math.trunc(dt()-a)),ve(this,Ut).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(o.tensor,this.config):[]:l=this.config.body.enabled?hg(o.tensor,this.config):[],ve(this,Ke).body&&delete ve(this,Ke).body):(this.state="run:body",a=dt(),this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(o.tensor,this.config)):[]:l=this.config.body.enabled?await hg(o.tensor,this.config):[],ve(this,Ke).body=Math.trunc(dt()-a)),ve(this,Ut).call(this,"End Body:"),ve(this,Ut).call(this,"Start Hand:"),this.config.async?(u=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],ve(this,Ke).hand&&delete ve(this,Ke).hand):(this.state="run:hand",a=dt(),u=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(o.tensor,this.config)):[],ve(this,Ke).hand=Math.trunc(dt()-a)),ve(this,Ut).call(this,"End Hand:"),this.config.async&&([c,l,u]=await Promise.all([c,l,u])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),ve(this,Ut).call(this,"End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...Y6(c),...Z6(l),...Q6(u),...J6(c)],this.config.async?ve(this,Ke).gesture&&delete ve(this,Ke).gesture:ve(this,Ke).gesture=Math.trunc(dt()-a)),ve(this,Ke).total=Math.trunc(dt()-i),this.state="idle",r({face:c,body:l,hand:u,gesture:h,performance:ve(this,Ke),canvas:o.canvas})})}async warmup(t={}){let n=dt();t&&(this.config=Bc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await ve(this,F0).call(this):typeof Image!="undefined"?a=await ve(this,M0).call(this):a=await ve(this,$0).call(this),this.config.videoOptimized=r;let s=dt();return this.config.debug&&Ce("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};C0=new WeakMap,Ke=new WeakMap,Xl=new WeakMap,Vc=new WeakMap,Uc=new WeakMap,$i=new WeakMap,Ut=new WeakMap,E0=new WeakMap,Hc=new WeakMap,R0=new WeakMap,jc=new WeakMap,F0=new WeakMap,M0=new WeakMap,$0=new WeakMap;export{b4 as Human,b4 as default}; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. diff --git a/dist/human.js b/dist/human.js index 484938e9..da79edaa 100644 --- a/dist/human.js +++ b/dist/human.js @@ -4889,7 +4889,7 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;var pg={};er(pg,{author:()=>u4,browser:()=>o4,bugs:()=>c4,default:()=>tse,description:()=>r4,devDependencies:()=>y4,engines:()=>p4,homepage:()=>h4,keywords:()=>A4,license:()=>d4,main:()=>s4,module:()=>i4,name:()=>n4,repository:()=>f4,scripts:()=>m4,sideEffects:()=>a4,types:()=>l4,version:()=>fg});var n4="@vladmandic/human",fg="1.1.5",r4="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",a4=!1,s4="dist/human.node.js",i4="dist/human.esm.js",o4="dist/human.esm.js",l4="types/src/human.d.ts",u4="Vladimir Mandic ",c4={url:"https://github.com/vladmandic/human/issues"},h4="https://vladmandic.github.io/human/demo/index.html",d4="MIT",p4={node:">=12.0.0"},f4={type:"git",url:"git+https://github.com/vladmandic/human.git"},m4={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation demo/node.js",dev:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/serve.js",build:"rimraf dist/* types/* typedoc/* && node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/build.js",lint:"eslint src server demo",test:"npm run lint && npm run start"},A4=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition","blazeface","blazepose"],y4={"@microsoft/api-extractor":"^7.13.2","@tensorflow/tfjs":"^3.3.0","@tensorflow/tfjs-backend-cpu":"^3.3.0","@tensorflow/tfjs-backend-wasm":"^3.3.0","@tensorflow/tfjs-backend-webgl":"^3.3.0","@tensorflow/tfjs-converter":"^3.3.0","@tensorflow/tfjs-core":"^3.3.0","@tensorflow/tfjs-data":"^3.3.0","@tensorflow/tfjs-layers":"^3.3.0","@tensorflow/tfjs-node":"^3.3.0","@tensorflow/tfjs-node-gpu":"^3.3.0","@types/node":"^14.14.34","@typescript-eslint/eslint-plugin":"^4.17.0","@typescript-eslint/parser":"^4.17.0","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.9.2",eslint:"^7.22.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2","simple-git":"^2.36.2",tslib:"^2.1.0",typedoc:"^0.20.32",typescript:"^4.2.3"},tse={name:n4,version:fg,description:r4,sideEffects:a4,main:s4,module:i4,browser:o4,types:l4,author:u4,bugs:c4,homepage:h4,license:d4,engines:p4,repository:f4,scripts:m4,keywords:A4,devDependencies:y4};var mg={};er(mg,{all:()=>rse,body:()=>_4,canvas:()=>nse,drawOptions:()=>ce,face:()=>w4,gesture:()=>x4,hand:()=>b4});var ce={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe UI"',lineHeight:20,lineWidth:6,pointSize:2,roundRect:28,drawPoints:!1,drawLabels:!0,drawBoxes:!0,drawPolygons:!0,fillPolygons:!1,useDepth:!0,useCurves:!1,bufferedOutput:!1};function S0(e,t,n,r=null){e.fillStyle=ce.useDepth&&r?`rgba(${127.5+2*(r||0)}, ${127.5-2*(r||0)}, 255, 0.3)`:ce.color,e.beginPath(),e.arc(t,n,ce.pointSize,0,2*Math.PI),e.fill()}function g4(e,t,n,r,a){if(e.beginPath(),ce.useCurves){let s=(t+t+r)/2,i=(n+n+a)/2;e.ellipse(s,i,r/2,a/2,0,0,2*Math.PI)}else e.lineWidth=ce.lineWidth,e.moveTo(t+ce.roundRect,n),e.lineTo(t+r-ce.roundRect,n),e.quadraticCurveTo(t+r,n,t+r,n+ce.roundRect),e.lineTo(t+r,n+a-ce.roundRect),e.quadraticCurveTo(t+r,n+a,t+r-ce.roundRect,n+a),e.lineTo(t+ce.roundRect,n+a),e.quadraticCurveTo(t,n+a,t,n+a-ce.roundRect),e.lineTo(t,n+ce.roundRect),e.quadraticCurveTo(t,n,t+ce.roundRect,n),e.closePath();e.stroke()}function Ag(e,t=[]){if(!(t===void 0||t.length===0)){e.beginPath(),e.moveTo(t[0][0],t[0][1]);for(let n of t)e.strokeStyle=ce.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:ce.color,e.fillStyle=ce.useDepth&&n[2]?`rgba(${127.5+2*n[2]}, ${127.5-2*n[2]}, 255, 0.3)`:ce.color,e.lineTo(n[0],parseInt(n[1]));e.stroke(),ce.fillPolygons&&(e.closePath(),e.fill())}}function T0(e,t=[]){if(!(t===void 0||t.length===0)){if(!ce.useCurves||t.length<=2){Ag(e,t);return}e.moveTo(t[0][0],t[0][1]);for(let n=0;n1&&i[1].length>0){let o=s[1]>0?`#${s[1]}`:"",l=`${s[0]} ${o}: ${i[1]}`;ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText(l,8,2+r*ce.lineHeight)),n.fillStyle=ce.labelColor,n.fillText(l,6,0+r*ce.lineHeight),r+=1}}}async function w4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n)for(let r of t){n.font=ce.font,n.strokeStyle=ce.color,n.fillStyle=ce.color,ce.drawBoxes&&g4(n,r.box[0],r.box[1],r.box[2],r.box[3]);let a=[];if(a.push(`face confidence: ${Math.trunc(100*r.confidence)}%`),r.genderConfidence&&a.push(`${r.gender||""} ${Math.trunc(100*r.genderConfidence)}% confident`),r.age&&a.push(`age: ${r.age||""}`),r.iris&&a.push(`iris distance: ${r.iris}`),r.emotion&&r.emotion.length>0){let s=r.emotion.map(i=>`${Math.trunc(100*i.score)}% ${i.emotion}`);a.push(s.join(" "))}r.angle&&r.angle.roll&&a.push(`roll: ${Math.trunc(100*r.angle.roll)/100} yaw:${Math.trunc(100*r.angle.yaw)/100} pitch:${Math.trunc(100*r.angle.pitch)/100}`),a.length===0&&a.push("face"),n.fillStyle=ce.color;for(let s=a.length-1;s>=0;s--){let i=Math.max(r.box[0],0),o=s*ce.lineHeight+r.box[1];ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText(a[s],i+5,o+16)),n.fillStyle=ce.labelColor,n.fillText(a[s],i+4,o+15)}if(n.lineWidth=1,r.mesh){if(ce.drawPoints)for(let s of r.mesh)S0(n,s[0],s[1],s[2]);if(ce.drawPolygons){n.lineWidth=1;for(let s=0;sr.mesh[o]);Ag(n,i)}if(r.annotations&&r.annotations.leftEyeIris){n.strokeStyle=ce.useDepth?"rgba(255, 200, 255, 0.3)":ce.color,n.beginPath();let s=Math.abs(r.annotations.leftEyeIris[3][0]-r.annotations.leftEyeIris[1][0])/2,i=Math.abs(r.annotations.leftEyeIris[4][1]-r.annotations.leftEyeIris[2][1])/2;n.ellipse(r.annotations.leftEyeIris[0][0],r.annotations.leftEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),ce.fillPolygons&&(n.fillStyle=ce.useDepth?"rgba(255, 255, 200, 0.3)":ce.color,n.fill())}if(r.annotations&&r.annotations.rightEyeIris){n.strokeStyle=ce.useDepth?"rgba(255, 200, 255, 0.3)":ce.color,n.beginPath();let s=Math.abs(r.annotations.rightEyeIris[3][0]-r.annotations.rightEyeIris[1][0])/2,i=Math.abs(r.annotations.rightEyeIris[4][1]-r.annotations.rightEyeIris[2][1])/2;n.ellipse(r.annotations.rightEyeIris[0][0],r.annotations.rightEyeIris[0][1],s,i,0,0,2*Math.PI),n.stroke(),ce.fillPolygons&&(n.fillStyle=ce.useDepth?"rgba(255, 255, 200, 0.3)":ce.color,n.fill())}}}}}var ts=[];async function _4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round";for(let r=0;ri.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),s.length===5&&Ag(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftKnee"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftAnkle"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftHeel"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftFoot"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightHip"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightKnee"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightAnkle"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightHeel"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightFoot"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="leftShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftElbow"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftWrist"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="leftPalm"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s),s.length=0,a=t[r].keypoints.find(i=>i.part==="rightShoulder"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightElbow"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightWrist"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),a=t[r].keypoints.find(i=>i.part==="rightPalm"),a&&a.score>mt.body.scoreThreshold&&s.push([a.position.x,a.position.y]),T0(n,s)}}}}async function b4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round",n.font=ce.font;for(let r of t){if(ce.drawBoxes&&(n.strokeStyle=ce.color,n.fillStyle=ce.color,g4(n,r.box[0],r.box[1],r.box[2],r.box[3]),ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText("hand",r.box[0]+3,1+r.box[1]+ce.lineHeight,r.box[2])),n.fillStyle=ce.labelColor,n.fillText("hand",r.box[0]+2,0+r.box[1]+ce.lineHeight,r.box[2]),n.stroke()),ce.drawPoints&&r.landmarks&&r.landmarks.length>0)for(let a of r.landmarks)n.fillStyle=ce.useDepth?`rgba(${127.5+2*a[2]}, ${127.5-2*a[2]}, 255, 0.5)`:ce.color,S0(n,a[0],a[1]);if(ce.drawPolygons){let a=s=>{if(!!s)for(let i=0;i0?i-1:0][0],s[i>0?i-1:0][1]),n.lineTo(s[i][0],s[i][1]),n.stroke()};a(r.annotations.indexFinger),a(r.annotations.middleFinger),a(r.annotations.ringFinger),a(r.annotations.pinky),a(r.annotations.thumb)}}}}async function nse(e,t){if(!e||!t||!(e instanceof HTMLCanvasElement)||!(t instanceof HTMLCanvasElement))return;let n=e.getContext("2d");n==null||n.drawImage(e,0,0)}async function rse(e,t){!t||!e||e instanceof HTMLCanvasElement&&(w4(e,t.face),_4(e,t.body),b4(e,t.hand),x4(e,t.gesture))}var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Bc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Bc(s,i):n[a]=i}),n),{})}var C0,Ke,Xl,Vc,Uc,$i,Ut,E0,Hc,R0,jc,F0,M0,$0,gg=class{constructor(t={}){C0.set(this,void 0);Ke.set(this,void 0);Xl.set(this,void 0);Vc.set(this,void 0);Uc.set(this,void 0);$i.set(this,void 0);Ut.set(this,(...t)=>{if(!ve(this,Vc))return;let n=this.tf.engine().state.numTensors,r=ve(this,Xl);ea(this,Xl,n);let a=n-r;a!==0&&Ce(...t,a)});E0.set(this,t=>{if(!ve(this,Uc))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Ue))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Hc.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=dt();if(this.state="backend",this.config.backend&&this.config.backend!==""){if(this.config.debug&&Ce("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&Ce("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let r=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),a=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&Ce(`wasm execution: ${r?"SIMD":"no SIMD"} ${a?"multithreaded":"singlethreaded"}`),r||Ce("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&h6();try{await this.tf.setBackend(this.config.backend)}catch(r){Ce("error: cannot set backend:",this.config.backend,r)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Ce("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&Ce(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),ve(this,Ke).backend=Math.trunc(dt()-n)}});R0.set(this,t=>{if(!t||t.length<300)return{roll:null,yaw:null,pitch:null};let n=(s,i,o,l)=>Math.atan2(l-i,o-s),r=s=>Math.abs(s*180/Math.PI%360);return{roll:n(t[33][0],t[33][1],t[263][0],t[263][1]),yaw:n(t[33][0],t[33][2],t[263][0],t[263][2]),pitch:n(t[10][1],t[10][2],t[152][1],t[152][2])}});jc.set(this,async t=>{var u,c,h,d,p,f,m;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((u=this.models.face)==null?void 0:u.estimateFaces(t,this.config));if(ve(this,Ke).face=Math.trunc(dt()-n),!l)return[];for(let A of l){if(ve(this,Ut).call(this,"Get Face"),!A.image||A.image.isDisposedInternal){Ce("Face object is disposed:",A.image);continue}let y=ve(this,R0).call(this,A.mesh);ve(this,Ut).call(this,"Start Age:"),this.config.async?r=this.config.face.age.enabled?N2(A.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await N2(A.image,this.config):{},ve(this,Ke).age=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Gender:"),this.config.async?a=this.config.face.gender.enabled?R2(A.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await R2(A.image,this.config):{},ve(this,Ke).gender=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?O2(A.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await O2(A.image,this.config):{},ve(this,Ke).emotion=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),ve(this,Ut).call(this,"Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?W2(A,this.config):[]:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await W2(A,this.config):[],ve(this,Ke).embedding=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),ve(this,Ut).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((c=A==null?void 0:A.annotations)==null?void 0:c.leftEyeIris)&&((h=A==null?void 0:A.annotations)==null?void 0:h.rightEyeIris)&&(delete A.annotations.leftEyeIris,delete A.annotations.rightEyeIris);let g=((d=A.annotations)==null?void 0:d.leftEyeIris)&&((p=A.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(A.annotations.leftEyeIris[3][0]-A.annotations.leftEyeIris[1][0]),Math.abs(A.annotations.rightEyeIris[4][1]-A.annotations.rightEyeIris[2][1])):0;o.push({...A,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:g!==0?Math.trunc(g)/100:0,angle:y,tensor:this.config.face.detector.return?(f=A.image)==null?void 0:f.squeeze():null}),(m=A.image)==null||m.dispose(),ve(this,Ut).call(this,"End Face")}return ve(this,Ut).call(this,"End FaceMesh:"),this.config.async&&(ve(this,Ke).face&&delete ve(this,Ke).face,ve(this,Ke).age&&delete ve(this,Ke).age,ve(this,Ke).gender&&delete ve(this,Ke).gender,ve(this,Ke).emotion&&delete ve(this,Ke).emotion),o});F0.set(this,async()=>{let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(N0);break;case"full":n=await t(I0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r});M0.set(this,async()=>new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+N0;break;case"full":case"body":r=1200,n="data:image/jpeg;base64,"+I0;break;default:n=null}let a=new Image;a.onload=async()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=a.naturalWidth,s.height=a.naturalHeight;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=await this.detect(s,this.config);t(o)},n?a.src=n:t(null)}));$0.set(this,async()=>{let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(N0):t(I0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s});this.tf=yh,this.draw=mg,ea(this,C0,pg),this.version=fg,this.config=Bc(mt,t),this.state="idle",ea(this,Xl,0),ea(this,Vc,!1),ea(this,Uc,!1),ea(this,$i,!0),ea(this,Ke,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=n=>dg(n,this.config),this.classes={facemesh:yg,age:v2,gender:I2,emotion:F2,body:this.config.body.modelPath.includes("posenet")?J2:ug,hand:sg},this.sysinfo=Mg()}profileData(){return this.config.profile?b2:{}}simmilarity(t,n){return this.config.face.embedding.enabled?P2(t,n):0}enhance(t){return L2(t)}match(t,n,r=0){return v6(t,n,r)}async load(t={}){this.state="load";let n=dt();t&&(this.config=Bc(this.config,t)),ve(this,$i)&&(this.config.debug&&Ce(`version: ${this.version}`),this.config.debug&&Ce(`tfjs version: ${this.tf.version_core}`),this.config.debug&&Ce("platform:",this.sysinfo.platform),this.config.debug&&Ce("agent:",this.sysinfo.agent),await ve(this,Hc).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&Ce("configuration:",this.config),this.config.debug&&Ce("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?yg.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?k2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?E2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?D2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?z2(this.config):null),this.models.handpose||(this.config.hand.enabled?lg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?eg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?cg(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await yg.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await k2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await E2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await D2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await z2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await lg(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await eg(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await cg(this.config))),ve(this,$i)&&(this.config.debug&&Ce("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ea(this,$i,!1));let r=Math.trunc(dt()-n);r>(ve(this,Ke).load||0)&&(ve(this,Ke).load=r)}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=Bc(this.config,n),this.state="check";let s=ve(this,E0).call(this,t);s&&(Ce(s,t),r({error:s}));let i=dt();await ve(this,Hc).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),ve(this,Ut).call(this,"Start Scope:"),a=dt();let o=dg(t,this.config);if(!o||!o.tensor){Ce("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}ve(this,Ke).image=Math.trunc(dt()-a),ve(this,Ut).call(this,"Get Image:");let l,u,c;this.config.async?(c=this.config.face.enabled?ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face&&delete ve(this,Ke).face):(this.state="run:face",a=dt(),c=this.config.face.enabled?await ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face=Math.trunc(dt()-a)),ve(this,Ut).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(o.tensor,this.config):[]:l=this.config.body.enabled?hg(o.tensor,this.config):[],ve(this,Ke).body&&delete ve(this,Ke).body):(this.state="run:body",a=dt(),this.config.body.modelPath.includes("posenet")?l=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(o.tensor,this.config)):[]:l=this.config.body.enabled?await hg(o.tensor,this.config):[],ve(this,Ke).body=Math.trunc(dt()-a)),ve(this,Ut).call(this,"End Body:"),ve(this,Ut).call(this,"Start Hand:"),this.config.async?(u=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],ve(this,Ke).hand&&delete ve(this,Ke).hand):(this.state="run:hand",a=dt(),u=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(o.tensor,this.config)):[],ve(this,Ke).hand=Math.trunc(dt()-a)),ve(this,Ut).call(this,"End Hand:"),this.config.async&&([c,l,u]=await Promise.all([c,l,u])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),ve(this,Ut).call(this,"End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...J6(c),...Y6(l),...e4(u),...Q6(c)],this.config.async?ve(this,Ke).gesture&&delete ve(this,Ke).gesture:ve(this,Ke).gesture=Math.trunc(dt()-a)),ve(this,Ke).total=Math.trunc(dt()-i),this.state="idle",r({face:c,body:l,hand:u,gesture:h,performance:ve(this,Ke),canvas:o.canvas})})}async warmup(t={}){let n=dt();t&&(this.config=Bc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await ve(this,F0).call(this):typeof Image!="undefined"?a=await ve(this,M0).call(this):a=await ve(this,$0).call(this),this.config.videoOptimized=r;let s=dt();return this.config.debug&&Ce("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};C0=new WeakMap,Ke=new WeakMap,Xl=new WeakMap,Vc=new WeakMap,Uc=new WeakMap,$i=new WeakMap,Ut=new WeakMap,E0=new WeakMap,Hc=new WeakMap,R0=new WeakMap,jc=new WeakMap,F0=new WeakMap,M0=new WeakMap,$0=new WeakMap;return ase;})(); +2Q==`;var pg={};er(pg,{author:()=>u4,browser:()=>o4,bugs:()=>c4,default:()=>tse,description:()=>r4,devDependencies:()=>y4,engines:()=>p4,homepage:()=>h4,keywords:()=>A4,license:()=>d4,main:()=>s4,module:()=>i4,name:()=>n4,repository:()=>f4,scripts:()=>m4,sideEffects:()=>a4,types:()=>l4,version:()=>fg});var n4="@vladmandic/human",fg="1.1.6",r4="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",a4=!1,s4="dist/human.node.js",i4="dist/human.esm.js",o4="dist/human.esm.js",l4="types/src/human.d.ts",u4="Vladimir Mandic ",c4={url:"https://github.com/vladmandic/human/issues"},h4="https://vladmandic.github.io/human/demo/index.html",d4="MIT",p4={node:">=12.0.0"},f4={type:"git",url:"git+https://github.com/vladmandic/human.git"},m4={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation demo/node.js",dev:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/serve.js",build:"rimraf dist/* types/* typedoc/* && node --trace-warnings --unhandled-rejections=strict --trace-uncaught server/build.js",lint:"eslint src server demo",test:"npm run lint && npm run 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function b4(e,t){if(!t||!e||!(e instanceof HTMLCanvasElement))return;let n=e.getContext("2d");if(!!n){n.lineJoin="round",n.font=ce.font;for(let r of t){if(ce.drawBoxes&&(n.strokeStyle=ce.color,n.fillStyle=ce.color,g4(n,r.box[0],r.box[1],r.box[2],r.box[3]),ce.shadowColor&&ce.shadowColor!==""&&(n.fillStyle=ce.shadowColor,n.fillText("hand",r.box[0]+3,1+r.box[1]+ce.lineHeight,r.box[2])),n.fillStyle=ce.labelColor,n.fillText("hand",r.box[0]+2,0+r.box[1]+ce.lineHeight,r.box[2]),n.stroke()),ce.drawPoints&&r.landmarks&&r.landmarks.length>0)for(let a of r.landmarks)n.fillStyle=ce.useDepth?`rgba(${127.5+2*a[2]}, ${127.5-2*a[2]}, 255, 0.5)`:ce.color,S0(n,a[0],a[1]);if(ce.drawPolygons){let a=s=>{if(!!s)for(let i=0;i0?i-1:0][0],s[i>0?i-1:0][1]),n.lineTo(s[i][0],s[i][1]),n.stroke()};a(r.annotations.indexFinger),a(r.annotations.middleFinger),a(r.annotations.ringFinger),a(r.annotations.pinky),a(r.annotations.thumb)}}}}async function nse(e,t){if(!e||!t||!(e instanceof HTMLCanvasElement)||!(t instanceof 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backend:",this.config.backend,r)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Ce("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&Ce(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),ve(this,Ke).backend=Math.trunc(dt()-n)}});R0.set(this,t=>{if(!t||t.length<300)return{roll:null,yaw:null,pitch:null};let n=(s,i,o,l)=>Math.atan2(l-i,o-s),r=s=>Math.abs(s*180/Math.PI%360);return{roll:n(t[33][0],t[33][1],t[263][0],t[263][1]),yaw:n(t[33][0],t[33][2],t[263][0],t[263][2]),pitch:n(t[10][1],t[10][2],t[152][1],t[152][2])}});jc.set(this,async t=>{var u,c,h,d,p,f,m;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((u=this.models.face)==null?void 0:u.estimateFaces(t,this.config));if(ve(this,Ke).face=Math.trunc(dt()-n),!l)return[];for(let A of l){if(ve(this,Ut).call(this,"Get Face"),!A.image||A.image.isDisposedInternal){Ce("Face object is disposed:",A.image);continue}let y=ve(this,R0).call(this,A.mesh);ve(this,Ut).call(this,"Start Age:"),this.config.async?r=this.config.face.age.enabled?N2(A.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await N2(A.image,this.config):{},ve(this,Ke).age=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Gender:"),this.config.async?a=this.config.face.gender.enabled?R2(A.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await R2(A.image,this.config):{},ve(this,Ke).gender=Math.trunc(dt()-n)),ve(this,Ut).call(this,"Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?O2(A.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await O2(A.image,this.config):{},ve(this,Ke).emotion=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),ve(this,Ut).call(this,"Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?W2(A,this.config):[]:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await W2(A,this.config):[],ve(this,Ke).embedding=Math.trunc(dt()-n)),ve(this,Ut).call(this,"End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),ve(this,Ut).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((c=A==null?void 0:A.annotations)==null?void 0:c.leftEyeIris)&&((h=A==null?void 0:A.annotations)==null?void 0:h.rightEyeIris)&&(delete A.annotations.leftEyeIris,delete A.annotations.rightEyeIris);let g=((d=A.annotations)==null?void 0:d.leftEyeIris)&&((p=A.annotations)==null?void 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this.tf.dispose(a),s});this.tf=yh,this.draw=mg,ea(this,C0,pg),this.version=fg,this.config=Bc(mt,t),this.state="idle",ea(this,Xl,0),ea(this,Vc,!1),ea(this,Uc,!1),ea(this,$i,!0),ea(this,Ke,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=n=>dg(n,this.config),this.classes={facemesh:yg,age:v2,gender:I2,emotion:F2,body:this.config.body.modelPath.includes("posenet")?J2:ug,hand:sg},this.sysinfo=Mg()}profileData(){return this.config.profile?b2:{}}simmilarity(t,n){return this.config.face.embedding.enabled?P2(t,n):0}enhance(t){return L2(t)}match(t,n,r=0){return v6(t,n,r)}async load(t={}){this.state="load";let n=dt();t&&(this.config=Bc(this.config,t)),ve(this,$i)&&(this.config.debug&&Ce(`version: ${this.version}`),this.config.debug&&Ce(`tfjs version: ${this.tf.version_core}`),this.config.debug&&Ce("platform:",this.sysinfo.platform),this.config.debug&&Ce("agent:",this.sysinfo.agent),await ve(this,Hc).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&Ce("configuration:",this.config),this.config.debug&&Ce("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?yg.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?k2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?E2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?D2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?z2(this.config):null),this.models.handpose||(this.config.hand.enabled?lg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?eg(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?cg(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await yg.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await k2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await E2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await D2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await z2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await lg(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await eg(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await cg(this.config))),ve(this,$i)&&(this.config.debug&&Ce("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ea(this,$i,!1));let r=Math.trunc(dt()-n);r>(ve(this,Ke).load||0)&&(ve(this,Ke).load=r)}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=Bc(this.config,n),this.state="check";let s=ve(this,E0).call(this,t);s&&(Ce(s,t),r({error:s}));let i=dt();await ve(this,Hc).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),ve(this,Ut).call(this,"Start Scope:"),a=dt();let o=dg(t,this.config);if(!o||!o.tensor){Ce("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}ve(this,Ke).image=Math.trunc(dt()-a),ve(this,Ut).call(this,"Get Image:");let l,u,c;this.config.async?(c=this.config.face.enabled?ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face&&delete ve(this,Ke).face):(this.state="run:face",a=dt(),c=this.config.face.enabled?await ve(this,jc).call(this,o.tensor):[],ve(this,Ke).face=Math.trunc(dt()-a)),ve(this,Ut).call(this,"Start 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this.config.debug&&Ce("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};C0=new WeakMap,Ke=new WeakMap,Xl=new WeakMap,Vc=new WeakMap,Uc=new WeakMap,$i=new WeakMap,Ut=new WeakMap,E0=new WeakMap,Hc=new WeakMap,R0=new WeakMap,jc=new WeakMap,F0=new WeakMap,M0=new WeakMap,$0=new WeakMap;return ase;})(); /** * @license * Copyright 2017 Google LLC. All Rights Reserved. diff --git a/dist/human.node-gpu.js b/dist/human.node-gpu.js index 751392e9..721c8aba 100644 --- a/dist/human.node-gpu.js +++ b/dist/human.node-gpu.js @@ -731,5 +731,5 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;var c0={};U(c0,{author:()=>gt,browser:()=>pt,bugs:()=>Tt,default:()=>kn,description:()=>dt,devDependencies:()=>St,engines:()=>zt,homepage:()=>Pt,keywords:()=>Rt,license:()=>vt,main:()=>mt,module:()=>ut,name:()=>lt,repository:()=>Mt,scripts:()=>Et,sideEffects:()=>ft,types:()=>bt,version:()=>_0});var lt="@vladmandic/human",_0="1.1.5",dt="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion 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h0={};U(h0,{all:()=>Zn,body:()=>Ot,canvas:()=>In,drawOptions:()=>l,face:()=>jt,gesture:()=>Wt,hand:()=>kt});var l={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe UI"',lineHeight:20,lineWidth:6,pointSize:2,roundRect:28,drawPoints:!1,drawLabels:!0,drawBoxes:!0,drawPolygons:!0,fillPolygons:!1,useDepth:!0,useCurves:!1,bufferedOutput:!1};function Ke(n,e,t,A=null){n.fillStyle=l.useDepth&&A?`rgba(${127.5+2*(A||0)}, ${127.5-2*(A||0)}, 255, 0.3)`:l.color,n.beginPath(),n.arc(e,t,l.pointSize,0,2*Math.PI),n.fill()}function Nt(n,e,t,A,r){if(n.beginPath(),l.useCurves){let c=(e+e+A)/2,_=(t+t+r)/2;n.ellipse(c,_,A/2,r/2,0,0,2*Math.PI)}else n.lineWidth=l.lineWidth,n.moveTo(e+l.roundRect,t),n.lineTo(e+A-l.roundRect,t),n.quadraticCurveTo(e+A,t,e+A,t+l.roundRect),n.lineTo(e+A,t+r-l.roundRect),n.quadraticCurveTo(e+A,t+r,e+A-l.roundRect,t+r),n.lineTo(e+l.roundRect,t+r),n.quadraticCurveTo(e,t+r,e,t+r-l.roundRect),n.lineTo(e,t+l.roundRect),n.quadraticCurveTo(e,t,e+l.roundRect,t),n.closePath();n.stroke()}function o0(n,e=[]){if(!(e===void 0||e.length===0)){n.beginPath(),n.moveTo(e[0][0],e[0][1]);for(let t of e)n.strokeStyle=l.useDepth&&t[2]?`rgba(${127.5+2*t[2]}, ${127.5-2*t[2]}, 255, 0.3)`:l.color,n.fillStyle=l.useDepth&&t[2]?`rgba(${127.5+2*t[2]}, ${127.5-2*t[2]}, 255, 0.3)`:l.color,n.lineTo(t[0],parseInt(t[1]));n.stroke(),l.fillPolygons&&(n.closePath(),n.fill())}}function Ue(n,e=[]){if(!(e===void 0||e.length===0)){if(!l.useCurves||e.length<=2){o0(n,e);return}n.moveTo(e[0][0],e[0][1]);for(let t=0;t1&&_[1].length>0){let h=c[1]>0?`#${c[1]}`:"",o=`${c[0]} ${h}: 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c=r.length-1;c>=0;c--){let _=Math.max(A.box[0],0),h=c*l.lineHeight+A.box[1];l.shadowColor&&l.shadowColor!==""&&(t.fillStyle=l.shadowColor,t.fillText(r[c],_+5,h+16)),t.fillStyle=l.labelColor,t.fillText(r[c],_+4,h+15)}if(t.lineWidth=1,A.mesh){if(l.drawPoints)for(let c of A.mesh)Ke(t,c[0],c[1],c[2]);if(l.drawPolygons){t.lineWidth=1;for(let c=0;cA.mesh[h]);o0(t,_)}if(A.annotations&&A.annotations.leftEyeIris){t.strokeStyle=l.useDepth?"rgba(255, 200, 255, 0.3)":l.color,t.beginPath();let c=Math.abs(A.annotations.leftEyeIris[3][0]-A.annotations.leftEyeIris[1][0])/2,_=Math.abs(A.annotations.leftEyeIris[4][1]-A.annotations.leftEyeIris[2][1])/2;t.ellipse(A.annotations.leftEyeIris[0][0],A.annotations.leftEyeIris[0][1],c,_,0,0,2*Math.PI),t.stroke(),l.fillPolygons&&(t.fillStyle=l.useDepth?"rgba(255, 255, 200, 0.3)":l.color,t.fill())}if(A.annotations&&A.annotations.rightEyeIris){t.strokeStyle=l.useDepth?"rgba(255, 200, 255, 0.3)":l.color,t.beginPath();let c=Math.abs(A.annotations.rightEyeIris[3][0]-A.annotations.rightEyeIris[1][0])/2,_=Math.abs(A.annotations.rightEyeIris[4][1]-A.annotations.rightEyeIris[2][1])/2;t.ellipse(A.annotations.rightEyeIris[0][0],A.annotations.rightEyeIris[0][1],c,_,0,0,2*Math.PI),t.stroke(),l.fillPolygons&&(t.fillStyle=l.useDepth?"rgba(255, 255, 200, 0.3)":l.color,t.fill())}}}}}var ie=[];async function Ot(n,e){if(!e||!n||!(n instanceof HTMLCanvasElement))return;let t=n.getContext("2d");if(!!t){t.lineJoin="round";for(let A=0;A_.part==="leftShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),c.length===5&&o0(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="leftHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftKnee"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftAnkle"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftHeel"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftFoot"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="rightHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightKnee"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightAnkle"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightHeel"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightFoot"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="leftShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftElbow"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftWrist"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftPalm"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="rightShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightElbow"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightWrist"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightPalm"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c)}}}}async function kt(n,e){if(!e||!n||!(n instanceof HTMLCanvasElement))return;let t=n.getContext("2d");if(!!t){t.lineJoin="round",t.font=l.font;for(let A of e){if(l.drawBoxes&&(t.strokeStyle=l.color,t.fillStyle=l.color,Nt(t,A.box[0],A.box[1],A.box[2],A.box[3]),l.shadowColor&&l.shadowColor!==""&&(t.fillStyle=l.shadowColor,t.fillText("hand",A.box[0]+3,1+A.box[1]+l.lineHeight,A.box[2])),t.fillStyle=l.labelColor,t.fillText("hand",A.box[0]+2,0+A.box[1]+l.lineHeight,A.box[2]),t.stroke()),l.drawPoints&&A.landmarks&&A.landmarks.length>0)for(let r of A.landmarks)t.fillStyle=l.useDepth?`rgba(${127.5+2*r[2]}, ${127.5-2*r[2]}, 255, 0.5)`:l.color,Ke(t,r[0],r[1]);if(l.drawPolygons){let r=c=>{if(!!c)for(let _=0;_0?_-1:0][0],c[_>0?_-1:0][1]),t.lineTo(c[_][0],c[_][1]),t.stroke()};r(A.annotations.indexFinger),r(A.annotations.middleFinger),r(A.annotations.ringFinger),r(A.annotations.pinky),r(A.annotations.thumb)}}}}async function In(n,e){if(!n||!e||!(n instanceof HTMLCanvasElement)||!(e instanceof 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A=0;A_.part==="leftShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),c.length===5&&o0(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="leftHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftKnee"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftAnkle"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftHeel"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftFoot"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="rightHip"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightKnee"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightAnkle"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightHeel"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightFoot"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="leftShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftElbow"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftWrist"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="leftPalm"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c),c.length=0,r=e[A].keypoints.find(_=>_.part==="rightShoulder"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightElbow"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightWrist"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),r=e[A].keypoints.find(_=>_.part==="rightPalm"),r&&r.score>R.body.scoreThreshold&&c.push([r.position.x,r.position.y]),Ue(t,c)}}}}async function kt(n,e){if(!e||!n||!(n instanceof HTMLCanvasElement))return;let t=n.getContext("2d");if(!!t){t.lineJoin="round",t.font=l.font;for(let A of e){if(l.drawBoxes&&(t.strokeStyle=l.color,t.fillStyle=l.color,Nt(t,A.box[0],A.box[1],A.box[2],A.box[3]),l.shadowColor&&l.shadowColor!==""&&(t.fillStyle=l.shadowColor,t.fillText("hand",A.box[0]+3,1+A.box[1]+l.lineHeight,A.box[2])),t.fillStyle=l.labelColor,t.fillText("hand",A.box[0]+2,0+A.box[1]+l.lineHeight,A.box[2]),t.stroke()),l.drawPoints&&A.landmarks&&A.landmarks.length>0)for(let r of A.landmarks)t.fillStyle=l.useDepth?`rgba(${127.5+2*r[2]}, ${127.5-2*r[2]}, 255, 0.5)`:l.color,Ke(t,r[0],r[1]);if(l.drawPolygons){let r=c=>{if(!!c)for(let _=0;_0?_-1:0][0],c[_>0?_-1:0][1]),t.lineTo(c[_][0],c[_][1]),t.stroke()};r(A.annotations.indexFinger),r(A.annotations.middleFinger),r(A.annotations.ringFinger),r(A.annotations.pinky),r(A.annotations.thumb)}}}}async function In(n,e){if(!n||!e||!(n instanceof HTMLCanvasElement)||!(e instanceof HTMLCanvasElement))return;let t=n.getContext("2d");t==null||t.drawImage(n,0,0)}async function Zn(n,e){!e||!n||n instanceof HTMLCanvasElement&&(jt(n,e.face),Ot(n,e.body),kt(n,e.hand),Wt(n,e.gesture))}var M=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function be(...n){let e=t=>t&&typeof t=="object";return n.reduce((t,A)=>(Object.keys(A||{}).forEach(r=>{let c=t[r],_=A[r];Array.isArray(c)&&Array.isArray(_)?t[r]=c.concat(..._):e(c)&&e(_)?t[r]=be(c,_):t[r]=_}),t),{})}var De,v,me,ge,Te,ae,k,Ge,Pe,Qe,ve,$e,e1,t1,x0=class{constructor(e={}){De.set(this,void 0);v.set(this,void 0);me.set(this,void 0);ge.set(this,void 0);Te.set(this,void 0);ae.set(this,void 0);k.set(this,(...e)=>{if(!m(this,ge))return;let t=this.tf.engine().state.numTensors,A=m(this,me);ne(this,me,t);let r=t-A;r!==0&&g(...e,r)});Ge.set(this,e=>{if(!m(this,Te))return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof 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0:i.estimateFaces(e,this.config));if(m(this,v).face=Math.trunc(M()-t),!o)return[];for(let b of o){if(m(this,k).call(this,"Get Face"),!b.image||b.image.isDisposedInternal){g("Face object is disposed:",b.image);continue}let Z=m(this,Qe).call(this,b.mesh);m(this,k).call(this,"Start Age:"),this.config.async?A=this.config.face.age.enabled?d1(b.image,this.config):{}:(this.state="run:age",t=M(),A=this.config.face.age.enabled?await d1(b.image,this.config):{},m(this,v).age=Math.trunc(M()-t)),m(this,k).call(this,"Start Gender:"),this.config.async?r=this.config.face.gender.enabled?g1(b.image,this.config):{}:(this.state="run:gender",t=M(),r=this.config.face.gender.enabled?await g1(b.image,this.config):{},m(this,v).gender=Math.trunc(M()-t)),m(this,k).call(this,"Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?M1(b.image,this.config):{}:(this.state="run:emotion",t=M(),c=this.config.face.emotion.enabled?await M1(b.image,this.config):{},m(this,v).emotion=Math.trunc(M()-t)),m(this,k).call(this,"End Emotion:"),m(this,k).call(this,"Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?N1(b,this.config):[]:(this.state="run:embedding",t=M(),_=this.config.face.embedding.enabled?await N1(b,this.config):[],m(this,v).embedding=Math.trunc(M()-t)),m(this,k).call(this,"End Emotion:"),this.config.async&&([A,r,c,_]=await Promise.all([A,r,c,_])),m(this,k).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((y=b==null?void 0:b.annotations)==null?void 0:y.leftEyeIris)&&((s=b==null?void 0:b.annotations)==null?void 0:s.rightEyeIris)&&(delete b.annotations.leftEyeIris,delete b.annotations.rightEyeIris);let V=((w=b.annotations)==null?void 0:w.leftEyeIris)&&((f=b.annotations)==null?void 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A});e1.set(this,async()=>new Promise(e=>{let t,A=0;switch(this.config.warmup){case"face":A=256,t="data:image/jpeg;base64,"+Ce;break;case"full":case"body":A=1200,t="data:image/jpeg;base64,"+Je;break;default:t=null}let r=new Image;r.onload=async()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(A,A):document.createElement("canvas");c.width=r.naturalWidth,c.height=r.naturalHeight;let _=c.getContext("2d");_==null||_.drawImage(r,0,0);let h=await this.detect(c,this.config);e(h)},t?r.src=t:e(null)}));t1.set(this,async()=>{let e=_=>Buffer.from(_,"base64"),t=this.config.warmup==="face"?e(Ce):e(Je),A=s0.node.decodeJpeg(t),r=A.expandDims(0);this.tf.dispose(A);let c=await this.detect(r,this.config);return this.tf.dispose(r),c});this.tf=s0,this.draw=h0,ne(this,De,c0),this.version=_0,this.config=be(R,e),this.state="idle",ne(this,me,0),ne(this,ge,!1),ne(this,Te,!1),ne(this,ae,!0),ne(this,v,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=t=>A0(t,this.config),this.classes={facemesh:i0,age:w1,gender:f1,emotion:T1,body:this.config.body.modelPath.includes("posenet")?q1:t0,hand:D1},this.sysinfo=f0()}profileData(){return this.config.profile?a1:{}}simmilarity(e,t){return this.config.face.embedding.enabled?R1(e,t):0}enhance(e){return S1(e)}match(e,t,A=0){return j0(e,t,A)}async load(e={}){this.state="load";let t=M();e&&(this.config=be(this.config,e)),m(this,ae)&&(this.config.debug&&g(`version: ${this.version}`),this.config.debug&&g(`tfjs version: ${this.tf.version_core}`),this.config.debug&&g("platform:",this.sysinfo.platform),this.config.debug&&g("agent:",this.sysinfo.agent),await m(this,Pe).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&g("configuration:",this.config),this.config.debug&&g("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?i0.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?l1(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?b1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?z1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?E1(this.config):null),this.models.handpose||(this.config.hand.enabled?e0(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?B1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?n0(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await i0.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await l1(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await b1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await z1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await E1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await e0(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await B1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await n0(this.config))),m(this,ae)&&(this.config.debug&&g("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ne(this,ae,!1));let A=Math.trunc(M()-t);A>(m(this,v).load||0)&&(m(this,v).load=A)}async detect(e,t={}){return new Promise(async A=>{var w,f,d,x;this.state="config";let r;this.config=be(this.config,t),this.state="check";let c=m(this,Ge).call(this,e);c&&(g(c,e),A({error:c}));let _=M();await m(this,Pe).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),m(this,k).call(this,"Start Scope:"),r=M();let h=A0(e,this.config);if(!h||!h.tensor){g("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}m(this,v).image=Math.trunc(M()-r),m(this,k).call(this,"Get Image:");let o,i,y;this.config.async?(y=this.config.face.enabled?m(this,ve).call(this,h.tensor):[],m(this,v).face&&delete m(this,v).face):(this.state="run:face",r=M(),y=this.config.face.enabled?await m(this,ve).call(this,h.tensor):[],m(this,v).face=Math.trunc(M()-r)),m(this,k).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?(w=this.models.posenet)==null?void 0:w.estimatePoses(h.tensor,this.config):[]:o=this.config.body.enabled?r0(h.tensor,this.config):[],m(this,v).body&&delete m(this,v).body):(this.state="run:body",r=M(),this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?await((f=this.models.posenet)==null?void 0:f.estimatePoses(h.tensor,this.config)):[]:o=this.config.body.enabled?await r0(h.tensor,this.config):[],m(this,v).body=Math.trunc(M()-r)),m(this,k).call(this,"End Body:"),m(this,k).call(this,"Start Hand:"),this.config.async?(i=this.config.hand.enabled?(d=this.models.handpose)==null?void 0:d.estimateHands(h.tensor,this.config):[],m(this,v).hand&&delete m(this,v).hand):(this.state="run:hand",r=M(),i=this.config.hand.enabled?await((x=this.models.handpose)==null?void 0:x.estimateHands(h.tensor,this.config)):[],m(this,v).hand=Math.trunc(M()-r)),m(this,k).call(this,"End Hand:"),this.config.async&&([y,o,i]=await Promise.all([y,o,i])),h.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),m(this,k).call(this,"End Scope:");let s=[];this.config.gesture.enabled&&(r=M(),s=[...xt(y),...it(o),...at(i),...yt(y)],this.config.async?m(this,v).gesture&&delete m(this,v).gesture:m(this,v).gesture=Math.trunc(M()-r)),m(this,v).total=Math.trunc(M()-_),this.state="idle",A({face:y,body:o,hand:i,gesture:s,performance:m(this,v),canvas:h.canvas})})}async warmup(e={}){let t=M();e&&(this.config=be(this.config,e));let A=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await m(this,$e).call(this):typeof Image!="undefined"?r=await m(this,e1).call(this):r=await m(this,t1).call(this),this.config.videoOptimized=A;let c=M();return this.config.debug&&g("Warmup",this.config.warmup,Math.round(c-t),"ms",r),r}};De=new WeakMap,v=new WeakMap,me=new WeakMap,ge=new WeakMap,Te=new WeakMap,ae=new WeakMap,k=new WeakMap,Ge=new WeakMap,Pe=new WeakMap,Qe=new WeakMap,ve=new WeakMap,$e=new WeakMap,e1=new WeakMap,t1=new WeakMap;0&&(module.exports={Human}); //# sourceMappingURL=human.node-gpu.js.map diff --git a/dist/human.node.js b/dist/human.node.js index 1fb95f85..228b5bcd 100644 --- a/dist/human.node.js +++ b/dist/human.node.js @@ -731,5 +731,5 @@ AAAAAAJAAAAAAAAAAAAAABAJEAAAAAAAAAAAAAAAIEoBKAAAAAAAAAAAAAAABAlAAAAAAAIAAAAA BAkBAkBAkBAlACEgMZjdjbFW8bWrEx8YWANb6Fp+bfwab+vLDKMFK9qxH5L0bAr8OPRPKz2AY7J2 SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/ -2Q==`;var c0={};U(c0,{author:()=>gt,browser:()=>pt,bugs:()=>Tt,default:()=>kn,description:()=>dt,devDependencies:()=>St,engines:()=>zt,homepage:()=>Pt,keywords:()=>Rt,license:()=>vt,main:()=>mt,module:()=>ut,name:()=>lt,repository:()=>Mt,scripts:()=>Et,sideEffects:()=>ft,types:()=>bt,version:()=>_0});var lt="@vladmandic/human",_0="1.1.5",dt="Human: AI-powered 3D 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M1(b.image,this.config):{},m(this,v).emotion=Math.trunc(M()-t)),m(this,k).call(this,"End Emotion:"),m(this,k).call(this,"Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?N1(b,this.config):[]:(this.state="run:embedding",t=M(),_=this.config.face.embedding.enabled?await N1(b,this.config):[],m(this,v).embedding=Math.trunc(M()-t)),m(this,k).call(this,"End Emotion:"),this.config.async&&([A,r,c,_]=await Promise.all([A,r,c,_])),m(this,k).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((y=b==null?void 0:b.annotations)==null?void 0:y.leftEyeIris)&&((s=b==null?void 0:b.annotations)==null?void 0:s.rightEyeIris)&&(delete b.annotations.leftEyeIris,delete b.annotations.rightEyeIris);let V=((w=b.annotations)==null?void 0:w.leftEyeIris)&&((f=b.annotations)==null?void 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0:i.estimateFaces(e,this.config));if(m(this,v).face=Math.trunc(M()-t),!o)return[];for(let b of o){if(m(this,k).call(this,"Get Face"),!b.image||b.image.isDisposedInternal){g("Face object is disposed:",b.image);continue}let Z=m(this,Qe).call(this,b.mesh);m(this,k).call(this,"Start Age:"),this.config.async?A=this.config.face.age.enabled?d1(b.image,this.config):{}:(this.state="run:age",t=M(),A=this.config.face.age.enabled?await d1(b.image,this.config):{},m(this,v).age=Math.trunc(M()-t)),m(this,k).call(this,"Start Gender:"),this.config.async?r=this.config.face.gender.enabled?g1(b.image,this.config):{}:(this.state="run:gender",t=M(),r=this.config.face.gender.enabled?await g1(b.image,this.config):{},m(this,v).gender=Math.trunc(M()-t)),m(this,k).call(this,"Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?M1(b.image,this.config):{}:(this.state="run:emotion",t=M(),c=this.config.face.emotion.enabled?await M1(b.image,this.config):{},m(this,v).emotion=Math.trunc(M()-t)),m(this,k).call(this,"End Emotion:"),m(this,k).call(this,"Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?N1(b,this.config):[]:(this.state="run:embedding",t=M(),_=this.config.face.embedding.enabled?await N1(b,this.config):[],m(this,v).embedding=Math.trunc(M()-t)),m(this,k).call(this,"End Emotion:"),this.config.async&&([A,r,c,_]=await Promise.all([A,r,c,_])),m(this,k).call(this,"Finish Face:"),!this.config.face.iris.enabled&&((y=b==null?void 0:b.annotations)==null?void 0:y.leftEyeIris)&&((s=b==null?void 0:b.annotations)==null?void 0:s.rightEyeIris)&&(delete b.annotations.leftEyeIris,delete b.annotations.rightEyeIris);let V=((w=b.annotations)==null?void 0:w.leftEyeIris)&&((f=b.annotations)==null?void 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A});e1.set(this,async()=>new Promise(e=>{let t,A=0;switch(this.config.warmup){case"face":A=256,t="data:image/jpeg;base64,"+Ce;break;case"full":case"body":A=1200,t="data:image/jpeg;base64,"+Je;break;default:t=null}let r=new Image;r.onload=async()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(A,A):document.createElement("canvas");c.width=r.naturalWidth,c.height=r.naturalHeight;let _=c.getContext("2d");_==null||_.drawImage(r,0,0);let h=await this.detect(c,this.config);e(h)},t?r.src=t:e(null)}));t1.set(this,async()=>{let e=_=>Buffer.from(_,"base64"),t=this.config.warmup==="face"?e(Ce):e(Je),A=s0.node.decodeJpeg(t),r=A.expandDims(0);this.tf.dispose(A);let c=await this.detect(r,this.config);return this.tf.dispose(r),c});this.tf=s0,this.draw=h0,ne(this,De,c0),this.version=_0,this.config=be(R,e),this.state="idle",ne(this,me,0),ne(this,ge,!1),ne(this,Te,!1),ne(this,ae,!0),ne(this,v,{}),this.models={face:null,posenet:null,blazepose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null},this.image=t=>A0(t,this.config),this.classes={facemesh:i0,age:w1,gender:f1,emotion:T1,body:this.config.body.modelPath.includes("posenet")?q1:t0,hand:D1},this.sysinfo=f0()}profileData(){return this.config.profile?a1:{}}simmilarity(e,t){return this.config.face.embedding.enabled?R1(e,t):0}enhance(e){return S1(e)}match(e,t,A=0){return j0(e,t,A)}async load(e={}){this.state="load";let t=M();e&&(this.config=be(this.config,e)),m(this,ae)&&(this.config.debug&&g(`version: ${this.version}`),this.config.debug&&g(`tfjs version: ${this.tf.version_core}`),this.config.debug&&g("platform:",this.sysinfo.platform),this.config.debug&&g("agent:",this.sysinfo.agent),await m(this,Pe).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&g("configuration:",this.config),this.config.debug&&g("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose]=await Promise.all([this.models.face||(this.config.face.enabled?i0.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?l1(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?b1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?z1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?E1(this.config):null),this.models.handpose||(this.config.hand.enabled?e0(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?B1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?n0(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await i0.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await l1(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await b1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await z1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await E1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await e0(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await B1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await n0(this.config))),m(this,ae)&&(this.config.debug&&g("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ne(this,ae,!1));let A=Math.trunc(M()-t);A>(m(this,v).load||0)&&(m(this,v).load=A)}async detect(e,t={}){return new Promise(async A=>{var w,f,d,x;this.state="config";let r;this.config=be(this.config,t),this.state="check";let c=m(this,Ge).call(this,e);c&&(g(c,e),A({error:c}));let _=M();await m(this,Pe).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),m(this,k).call(this,"Start Scope:"),r=M();let h=A0(e,this.config);if(!h||!h.tensor){g("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}m(this,v).image=Math.trunc(M()-r),m(this,k).call(this,"Get Image:");let o,i,y;this.config.async?(y=this.config.face.enabled?m(this,ve).call(this,h.tensor):[],m(this,v).face&&delete m(this,v).face):(this.state="run:face",r=M(),y=this.config.face.enabled?await m(this,ve).call(this,h.tensor):[],m(this,v).face=Math.trunc(M()-r)),m(this,k).call(this,"Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?(w=this.models.posenet)==null?void 0:w.estimatePoses(h.tensor,this.config):[]:o=this.config.body.enabled?r0(h.tensor,this.config):[],m(this,v).body&&delete m(this,v).body):(this.state="run:body",r=M(),this.config.body.modelPath.includes("posenet")?o=this.config.body.enabled?await((f=this.models.posenet)==null?void 0:f.estimatePoses(h.tensor,this.config)):[]:o=this.config.body.enabled?await r0(h.tensor,this.config):[],m(this,v).body=Math.trunc(M()-r)),m(this,k).call(this,"End Body:"),m(this,k).call(this,"Start Hand:"),this.config.async?(i=this.config.hand.enabled?(d=this.models.handpose)==null?void 0:d.estimateHands(h.tensor,this.config):[],m(this,v).hand&&delete m(this,v).hand):(this.state="run:hand",r=M(),i=this.config.hand.enabled?await((x=this.models.handpose)==null?void 0:x.estimateHands(h.tensor,this.config)):[],m(this,v).hand=Math.trunc(M()-r)),m(this,k).call(this,"End Hand:"),this.config.async&&([y,o,i]=await Promise.all([y,o,i])),h.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),m(this,k).call(this,"End Scope:");let s=[];this.config.gesture.enabled&&(r=M(),s=[...xt(y),...it(o),...at(i),...yt(y)],this.config.async?m(this,v).gesture&&delete m(this,v).gesture:m(this,v).gesture=Math.trunc(M()-r)),m(this,v).total=Math.trunc(M()-_),this.state="idle",A({face:y,body:o,hand:i,gesture:s,performance:m(this,v),canvas:h.canvas})})}async warmup(e={}){let t=M();e&&(this.config=be(this.config,e));let A=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await m(this,$e).call(this):typeof Image!="undefined"?r=await m(this,e1).call(this):r=await m(this,t1).call(this),this.config.videoOptimized=A;let c=M();return this.config.debug&&g("Warmup",this.config.warmup,Math.round(c-t),"ms",r),r}};De=new WeakMap,v=new WeakMap,me=new WeakMap,ge=new WeakMap,Te=new WeakMap,ae=new WeakMap,k=new WeakMap,Ge=new WeakMap,Pe=new WeakMap,Qe=new WeakMap,ve=new WeakMap,$e=new WeakMap,e1=new WeakMap,t1=new WeakMap;0&&(module.exports={Human}); //# sourceMappingURL=human.node.js.map diff --git a/server/build.js b/server/build.js index 35e1800f..16d3296f 100755 --- a/server/build.js +++ b/server/build.js @@ -200,7 +200,7 @@ async function typedoc(entryPoint) { if (!td) { td = new TypeDoc.Application(); td.options.addReader(new TypeDoc.TSConfigReader()); - td.bootstrap({ entryPoints: entryPoint }); + td.bootstrap({ entryPoints: entryPoint, theme: 'wiki/theme/' }); } const project = td.convert(); const result = project ? await td.generateDocs(project, 'typedoc') : null; diff --git a/tsconfig.json b/tsconfig.json index 3b8ac267..27ace3e0 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -33,7 +33,7 @@ "readme": "none", "out": "typedoc", "entryPoints": "src/human.ts", - "logLevel": "Error", + "logLevel": "Info", "logger": "none", "theme": "wiki/theme/" } diff --git a/typedoc/assets/css/main.css b/typedoc/assets/css/main.css index 496f646c..34049b9d 100644 --- a/typedoc/assets/css/main.css +++ b/typedoc/assets/css/main.css @@ -1,20 +1,21 @@ +@font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') } :root { - --color-background: #fdfdfd; - --color-text: #222; - --color-text-aside: #707070; - --color-link: #4da6ff; + --color-background: #202020; + --color-text: #f0f0f0; + --color-text-aside: #A0A0A0; + --color-link: lightskyblue; --color-menu-divider: #eee; --color-menu-divider-focus: #000; --color-menu-label: #707070; - --color-panel: #fff; - --color-panel-divider: #eee; + --color-panel: #303030; + --color-panel-divider: #404040; --color-comment-tag: #707070; --color-comment-tag-text: #fff; --color-code-background: rgba(#000, 0.04); - --color-ts: #9600ff; + --color-ts: lightcoral; --color-ts-interface: #647f1b; --color-ts-enum: #937210; - --color-ts-class: #0672de; + --color-ts-class: lightskyblue; --color-ts-private: #707070; --color-toolbar: #fff; --color-toolbar-text: #333; @@ -2498,6 +2499,7 @@ ul.tsd-type-parameters .tsd-comment { background: var(--color-toolbar); border-bottom: 1px solid var(--color-panel-divider); transition: transform 0.3s linear; + visibility: hidden; } .tsd-page-toolbar a { color: var(--color-toolbar-text); diff --git a/typedoc/assets/icons.png b/typedoc/assets/icons.png deleted file mode 100644 index 3836d5fe..00000000 Binary files a/typedoc/assets/icons.png and /dev/null differ diff --git a/typedoc/assets/icons@2x.png b/typedoc/assets/icons@2x.png deleted file mode 100644 index 5a209e2f..00000000 Binary files a/typedoc/assets/icons@2x.png and /dev/null differ diff --git a/typedoc/assets/typedoc.css b/typedoc/assets/typedoc.css deleted file mode 100644 index 2b058986..00000000 --- a/typedoc/assets/typedoc.css +++ /dev/null @@ -1,2494 +0,0 @@ -@font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') } -:root { - --color-background: #202020; - --color-text: #f0f0f0; - --color-text-aside: #A0A0A0; - --color-link: lightskyblue; - --color-menu-divider: #eee; - --color-menu-divider-focus: #000; - --color-menu-label: #707070; - --color-panel: #303030; - --color-panel-divider: #404040; - --color-comment-tag: #707070; - --color-comment-tag-text: #fff; - --color-code-background: rgba(#000, 0.04); - --color-ts: lightcoral; - --color-ts-interface: #647f1b; - --color-ts-enum: #937210; - --color-ts-class: lightskyblue; - --color-ts-private: #707070; - --color-toolbar: #fff; - --color-toolbar-text: #333; -} - -article, aside, details, figcaption, figure, footer, header, hgroup, main, nav, section, summary { - display: block; -} - -audio, canvas, video { - display: inline-block; - *display: inline; - *zoom: 1; -} - -audio:not([controls]) { - display: none; - height: 0; -} - -[hidden] { - display: none; -} - -html { - font-size: 100%; - -ms-text-size-adjust: 100%; - -webkit-text-size-adjust: 100%; - font-family: 'Lato', 'Segoe UI'; -} - -button, input, select, textarea { - font-family: 'Lato', 'Segoe UI'; -} - -body { - margin: 0; -} - -a:focus { - outline: thin dotted; -} -a:active, a:hover { - outline: 0; -} - -h1 { - font-size: 2em; - margin: 0.67em 0; -} - -h2 { - font-size: 1.5em; - margin: 0.83em 0; -} - -h3 { - font-size: 1.17em; - margin: 1em 0; -} - -h4, .tsd-index-panel h3 { - font-size: 1em; - margin: 1.33em 0; -} - -h5 { - font-size: 0.83em; - margin: 1.67em 0; -} - -h6 { - font-size: 0.67em; - margin: 2.33em 0; -} - -abbr[title] { - border-bottom: 1px dotted; -} - -b, strong { - font-weight: bold; -} - -blockquote { - margin: 1em 40px; -} - -dfn { - font-style: italic; -} - -hr { - -moz-box-sizing: content-box; - box-sizing: content-box; - height: 0; -} - -mark { - background: #ff0; - color: #000; -} - -p, pre { - margin: 1em 0; -} - -code, kbd, pre, samp { - font-family: monospace, serif; - _font-family: "courier new", monospace; - font-size: 1em; -} - -pre { - white-space: pre; - white-space: pre-wrap; - word-wrap: break-word; -} - -q { - quotes: none; -} -q:before, q:after { - content: ""; - content: none; -} - -small { - font-size: 80%; -} - -sub { - font-size: 75%; - line-height: 0; - position: relative; - vertical-align: baseline; -} - -sup { - font-size: 75%; - line-height: 0; - position: relative; - vertical-align: baseline; - top: -0.5em; -} - -sub { - bottom: -0.25em; -} - -dl, menu, ol, ul { - margin: 1em 0; -} - -dd { - margin: 0 0 0 40px; -} - -menu, ol, ul { - padding: 0 0 0 40px; -} - -nav ul, nav ol { - list-style: none; - list-style-image: none; -} - -img { - border: 0; - -ms-interpolation-mode: bicubic; -} - -svg:not(:root) { - overflow: hidden; -} - -figure, form { - margin: 0; -} - -fieldset { - border: 1px solid #c0c0c0; - margin: 0 2px; - padding: 0.35em 0.625em 0.75em; -} - -legend { - border: 0; - padding: 0; - white-space: normal; - *margin-left: -7px; -} - -button, input, select, textarea { - font-size: 100%; - margin: 0; - vertical-align: baseline; - *vertical-align: middle; -} - -button, input { - line-height: normal; -} - -button, select { - text-transform: none; -} - -button, html input[type=button] { - -webkit-appearance: button; - cursor: pointer; - *overflow: visible; -} - -input[type=reset], input[type=submit] { - -webkit-appearance: button; - cursor: pointer; - *overflow: visible; -} - -button[disabled], html input[disabled] { - cursor: default; -} - -input { -} -input[type=checkbox], input[type=radio] { - box-sizing: border-box; - padding: 0; - *height: 13px; - *width: 13px; -} -input[type=search] { - -webkit-appearance: textfield; - -moz-box-sizing: content-box; - -webkit-box-sizing: content-box; - box-sizing: content-box; -} -input[type=search]::-webkit-search-cancel-button, input[type=search]::-webkit-search-decoration { - -webkit-appearance: none; -} - -button::-moz-focus-inner, input::-moz-focus-inner { - border: 0; - 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font-family: 'Lato', 'Segoe UI'; - font-size: 16px; - color: var(--color-text); -} - -a { - color: var(--color-link); - text-decoration: none; -} -a:hover { - text-decoration: underline; -} - -code, pre { - font-family: Menlo, Monaco, Consolas, "Courier New", monospace; - padding: 0.2em; - margin: 0; - font-size: 14px; - background-color: var(--color-code-background); -} - -pre { - padding: 10px; -} -pre code { - padding: 0; - font-size: 100%; - background-color: transparent; -} - -blockquote { - margin: 1em 0; - padding-left: 1em; - border-left: 4px solid gray; -} - -.tsd-typography { - line-height: 1.333em; -} -.tsd-typography ul { - list-style: square; - padding: 0 0 0 20px; - margin: 0; -} -.tsd-typography h4, .tsd-typography .tsd-index-panel h3, .tsd-index-panel .tsd-typography h3, .tsd-typography h5, .tsd-typography h6 { - font-size: 1em; - margin: 0; -} -.tsd-typography h5, .tsd-typography h6 { - font-weight: normal; -} -.tsd-typography p, .tsd-typography ul, .tsd-typography ol { - margin: 1em 0; -} - -@media (min-width: 901px) and (max-width: 1024px) { - html.default .col-content { - width: 72%; - } - html.default .col-menu { - width: 28%; - } - html.default .tsd-navigation { - padding-left: 10px; - } -} -@media (max-width: 900px) { - html.default .col-content { - float: none; - width: 100%; - } - html.default .col-menu { - position: fixed !important; - overflow: auto; - -webkit-overflow-scrolling: touch; - z-index: 1024; - top: 0 !important; - bottom: 0 !important; - left: auto !important; - right: 0 !important; - width: 100%; - padding: 20px 20px 0 0; - max-width: 450px; - visibility: hidden; - background-color: var(--color-panel); - transform: translate(100%, 0); - } - html.default .col-menu > *:last-child { - padding-bottom: 20px; - } - html.default .overlay { - content: ""; - display: block; - position: fixed; - z-index: 1023; - top: 0; - left: 0; - right: 0; - bottom: 0; - background-color: rgba(0, 0, 0, 0.75); - visibility: hidden; - } - html.default.to-has-menu .overlay { - animation: fade-in 0.4s; - } - html.default.to-has-menu header, -html.default.to-has-menu footer, -html.default.to-has-menu .col-content { - animation: shift-to-left 0.4s; - } - html.default.to-has-menu .col-menu { - animation: pop-in-from-right 0.4s; - } - html.default.from-has-menu .overlay { - animation: fade-out 0.4s; - } - html.default.from-has-menu header, -html.default.from-has-menu footer, -html.default.from-has-menu .col-content { - animation: unshift-to-left 0.4s; - } - html.default.from-has-menu .col-menu { - animation: pop-out-to-right 0.4s; - } - html.default.has-menu body { - overflow: hidden; - } - html.default.has-menu .overlay { - visibility: visible; - } - html.default.has-menu header, -html.default.has-menu footer, -html.default.has-menu .col-content { - transform: translate(-25%, 0); - } - html.default.has-menu .col-menu { - visibility: visible; - transform: translate(0, 0); - } -} - -.tsd-page-title { - padding: 70px 0 20px 0; - margin: 0 0 40px 0; - background: var(--color-panel); - box-shadow: 0 0 5px rgba(0, 0, 0, 0.35); -} -.tsd-page-title h1 { - margin: 0; -} - -.tsd-breadcrumb { - margin: 0; - padding: 0; - color: var(--color-text-aside); -} -.tsd-breadcrumb a { - color: var(--color-text-aside); - text-decoration: none; -} -.tsd-breadcrumb a:hover { - text-decoration: underline; -} -.tsd-breadcrumb li { - display: inline; -} -.tsd-breadcrumb li:after { - content: " / "; -} - -html.minimal .container { - margin: 0; -} -html.minimal .container-main { - padding-top: 50px; - padding-bottom: 0; -} -html.minimal .content-wrap { - padding-left: 300px; -} -html.minimal .tsd-navigation { - position: fixed !important; - overflow: auto; - -webkit-overflow-scrolling: touch; - box-sizing: border-box; - z-index: 1; - left: 0; - top: 40px; - bottom: 0; - width: 300px; - padding: 20px; - margin: 0; -} -html.minimal .tsd-member .tsd-member { - margin-left: 0; -} -html.minimal .tsd-page-toolbar { - position: fixed; - z-index: 2; -} -html.minimal #tsd-filter .tsd-filter-group { - right: 0; - transform: none; -} -html.minimal footer { - background-color: transparent; -} -html.minimal footer .container { - padding: 0; -} -html.minimal .tsd-generator { - padding: 0; -} -@media (max-width: 900px) { - html.minimal .tsd-navigation { - display: none; - } - html.minimal .content-wrap { - padding-left: 0; - } -} - -dl.tsd-comment-tags { - overflow: hidden; -} -dl.tsd-comment-tags dt { - float: left; - padding: 1px 5px; - margin: 0 10px 0 0; - border-radius: 4px; - border: 1px solid var(--color-comment-tag); - color: var(--color-comment-tag); - font-size: 0.8em; - font-weight: normal; -} -dl.tsd-comment-tags dd { - margin: 0 0 10px 0; -} -dl.tsd-comment-tags dd:before, dl.tsd-comment-tags dd:after { - display: table; - content: " "; -} -dl.tsd-comment-tags dd pre, dl.tsd-comment-tags dd:after { - clear: both; -} -dl.tsd-comment-tags p { - margin: 0; -} - -.tsd-panel.tsd-comment .lead { - font-size: 1.1em; - line-height: 1.333em; - margin-bottom: 2em; -} -.tsd-panel.tsd-comment .lead:last-child { - margin-bottom: 0; -} - -.toggle-protected .tsd-is-private { - display: none; -} - -.toggle-public .tsd-is-private, -.toggle-public .tsd-is-protected, -.toggle-public .tsd-is-private-protected { - display: none; -} - -.toggle-inherited .tsd-is-inherited { - display: none; -} - -.toggle-externals .tsd-is-external { - display: none; -} - -#tsd-filter { - position: relative; - display: inline-block; - height: 40px; - vertical-align: bottom; -} -.no-filter #tsd-filter { - display: none; -} -#tsd-filter .tsd-filter-group { - display: inline-block; - height: 40px; - vertical-align: bottom; - white-space: nowrap; -} -#tsd-filter input { - display: none; -} -@media (max-width: 900px) { - #tsd-filter .tsd-filter-group { - display: block; - position: absolute; - top: 40px; - right: 20px; - height: auto; - background-color: var(--color-panel); - visibility: hidden; - transform: translate(50%, 0); - box-shadow: 0 0 4px rgba(0, 0, 0, 0.25); - } - .has-options #tsd-filter .tsd-filter-group { - visibility: visible; - } - .to-has-options #tsd-filter .tsd-filter-group { - animation: fade-in 0.2s; - } - .from-has-options #tsd-filter .tsd-filter-group { - animation: fade-out 0.2s; - } - #tsd-filter label, -#tsd-filter .tsd-select { - display: block; - padding-right: 20px; - } -} - -footer { - border-top: 1px solid var(--color-panel-divider); - background-color: var(--color-panel); -} -footer.with-border-bottom { - border-bottom: 1px solid var(--color-panel-divider); -} -footer .tsd-legend-group { - font-size: 0; -} -footer .tsd-legend { - display: inline-block; - width: 25%; - padding: 0; - font-size: 16px; - list-style: none; - line-height: 1.333em; - vertical-align: top; -} -@media (max-width: 900px) { - footer .tsd-legend { - width: 50%; - } -} - -.tsd-hierarchy { - list-style: square; - padding: 0 0 0 20px; - margin: 0; -} -.tsd-hierarchy .target { - font-weight: bold; -} - -.tsd-index-panel .tsd-index-content { - margin-bottom: -30px !important; -} -.tsd-index-panel .tsd-index-section { - margin-bottom: 30px !important; -} -.tsd-index-panel h3 { - margin: 0 -20px 10px -20px; - padding: 0 20px 10px 20px; - border-bottom: 1px solid var(--color-panel-divider); -} -.tsd-index-panel ul.tsd-index-list { - -webkit-column-count: 3; - -moz-column-count: 3; - -ms-column-count: 3; - -o-column-count: 3; - column-count: 3; - -webkit-column-gap: 20px; - -moz-column-gap: 20px; - -ms-column-gap: 20px; - -o-column-gap: 20px; - column-gap: 20px; - padding: 0; - list-style: none; - line-height: 1.333em; -} -@media (max-width: 900px) { - .tsd-index-panel ul.tsd-index-list { - -webkit-column-count: 1; - -moz-column-count: 1; - -ms-column-count: 1; - -o-column-count: 1; - column-count: 1; - } -} -@media (min-width: 901px) and (max-width: 1024px) { - .tsd-index-panel ul.tsd-index-list { - -webkit-column-count: 2; - -moz-column-count: 2; - -ms-column-count: 2; - -o-column-count: 2; - column-count: 2; - } -} -.tsd-index-panel ul.tsd-index-list li { - -webkit-page-break-inside: avoid; - -moz-page-break-inside: avoid; - -ms-page-break-inside: avoid; - -o-page-break-inside: avoid; - page-break-inside: avoid; -} -.tsd-index-panel a, -.tsd-index-panel .tsd-parent-kind-module a { - color: var(--color-ts); -} -.tsd-index-panel .tsd-parent-kind-interface a { - color: var(--color-ts-interface); -} -.tsd-index-panel .tsd-parent-kind-enum a { - color: var(--color-ts-enum); -} -.tsd-index-panel .tsd-parent-kind-class a { - color: var(--color-ts-class); -} -.tsd-index-panel .tsd-kind-module a { - color: var(--color-ts); -} -.tsd-index-panel .tsd-kind-interface a { - color: var(--color-ts-interface); -} -.tsd-index-panel .tsd-kind-enum a { - color: var(--color-ts-enum); -} -.tsd-index-panel .tsd-kind-class a { - color: var(--color-ts-class); -} -.tsd-index-panel .tsd-is-private a { - color: var(--color-ts-private); -} - -.tsd-flag { - display: inline-block; - padding: 1px 5px; - border-radius: 4px; - color: var(--color-comment-tag-text); - background-color: var(--color-comment-tag); - text-indent: 0; - font-size: 14px; - font-weight: normal; -} - -.tsd-anchor { - position: absolute; - top: -100px; -} - -.tsd-member { - position: relative; -} -.tsd-member .tsd-anchor + h3 { - margin-top: 0; - margin-bottom: 0; - border-bottom: none; -} -.tsd-member a[data-tsd-kind] { - color: var(--color-ts); -} -.tsd-member a[data-tsd-kind=Interface] { - color: var(--color-ts-interface); -} -.tsd-member a[data-tsd-kind=Enum] { - color: var(--color-ts-enum); -} -.tsd-member a[data-tsd-kind=Class] { - color: var(--color-ts-class); -} -.tsd-member a[data-tsd-kind=Private] { - color: var(--color-ts-private); -} - -.tsd-navigation { - margin: 0 0 0 40px; -} -.tsd-navigation a { - display: block; - padding-top: 2px; - padding-bottom: 2px; - border-left: 2px solid transparent; - color: var(--color-text); - text-decoration: none; - transition: border-left-color 0.1s; -} -.tsd-navigation a:hover { - text-decoration: underline; -} -.tsd-navigation ul { - margin: 0; - padding: 0; - list-style: none; -} -.tsd-navigation li { - padding: 0; -} - -.tsd-navigation.primary { - padding-bottom: 40px; -} -.tsd-navigation.primary a { - display: block; - padding-top: 6px; - padding-bottom: 6px; -} -.tsd-navigation.primary ul li a { - padding-left: 5px; -} -.tsd-navigation.primary ul li li a { - padding-left: 25px; -} -.tsd-navigation.primary ul li li li a { - padding-left: 45px; -} -.tsd-navigation.primary ul li li li li a { - padding-left: 65px; -} -.tsd-navigation.primary ul li li li li li a { - padding-left: 85px; -} -.tsd-navigation.primary ul li li li li li li a { - padding-left: 105px; -} -.tsd-navigation.primary > ul { - border-bottom: 1px solid var(--color-panel-divider); -} -.tsd-navigation.primary li { - border-top: 1px solid var(--color-panel-divider); -} -.tsd-navigation.primary li.current > a { - font-weight: bold; -} -.tsd-navigation.primary li.label span { - display: block; - padding: 20px 0 6px 5px; - color: var(--color-menu-label); -} -.tsd-navigation.primary li.globals + li > span, .tsd-navigation.primary li.globals + li > a { - padding-top: 20px; -} - -.tsd-navigation.secondary { - max-height: calc(100vh - 1rem - 40px); - overflow: auto; - position: -webkit-sticky; - position: sticky; - top: calc(.5rem + 40px); - transition: 0.3s; -} -.tsd-navigation.secondary.tsd-navigation--toolbar-hide { - max-height: calc(100vh - 1rem); - top: 0.5rem; -} -.tsd-navigation.secondary ul { - transition: opacity 0.2s; -} -.tsd-navigation.secondary ul li a { - padding-left: 25px; -} -.tsd-navigation.secondary ul li li a { - padding-left: 45px; -} -.tsd-navigation.secondary ul li li li a { - padding-left: 65px; -} -.tsd-navigation.secondary ul li li li li a { - padding-left: 85px; -} -.tsd-navigation.secondary ul li li li li li a { - padding-left: 105px; -} -.tsd-navigation.secondary ul li li li li li li a { - padding-left: 125px; -} -.tsd-navigation.secondary ul.current a { - border-left-color: var(--color-panel-divider); -} -.tsd-navigation.secondary li.focus > a, -.tsd-navigation.secondary ul.current li.focus > a { - border-left-color: var(--color-menu-divider-focus); -} -.tsd-navigation.secondary li.current { - margin-top: 20px; - margin-bottom: 20px; - border-left-color: var(--color-panel-divider); -} -.tsd-navigation.secondary li.current > a { - font-weight: bold; -} - -@media (min-width: 901px) { - .menu-sticky-wrap { - position: static; - } -} - -.tsd-panel { - margin: 20px 0; - padding: 20px; - background-color: var(--color-panel); - box-shadow: 0 0 4px rgba(0, 0, 0, 0.25); -} -.tsd-panel:empty { - display: none; -} -.tsd-panel > h1, .tsd-panel > h2, .tsd-panel > h3 { - margin: 1.5em -20px 10px -20px; - padding: 0 20px 10px 20px; - border-bottom: 1px solid var(--color-panel-divider); -} -.tsd-panel > h1.tsd-before-signature, .tsd-panel > h2.tsd-before-signature, .tsd-panel > h3.tsd-before-signature { - margin-bottom: 0; - border-bottom: 0; -} -.tsd-panel table { - display: block; - width: 100%; - overflow: auto; - margin-top: 10px; - word-break: normal; - word-break: keep-all; -} -.tsd-panel table th { - font-weight: bold; -} -.tsd-panel table th, .tsd-panel table td { - padding: 6px 13px; - border: 1px solid #ddd; -} -.tsd-panel table tr { - background-color: #fff; - border-top: 1px solid #ccc; -} -.tsd-panel table tr:nth-child(2n) { - background-color: #f8f8f8; -} - -.tsd-panel-group { - margin: 60px 0; -} -.tsd-panel-group > h1, .tsd-panel-group > h2, .tsd-panel-group > h3 { - padding-left: 20px; - padding-right: 20px; -} - -#tsd-search { - transition: background-color 0.2s; -} -#tsd-search .title { - position: relative; - z-index: 2; -} -#tsd-search .field { - position: absolute; - left: 0; - top: 0; - right: 40px; - height: 40px; -} -#tsd-search .field input { - box-sizing: border-box; - position: relative; - top: -50px; - z-index: 1; - width: 100%; - padding: 0 10px; - opacity: 0; - outline: 0; - border: 0; - background: transparent; - color: var(--color-text); -} -#tsd-search .field label { - position: absolute; - overflow: hidden; - right: -40px; -} -#tsd-search .field input, -#tsd-search .title { - transition: opacity 0.2s; -} -#tsd-search .results { - position: absolute; - visibility: hidden; - top: 40px; - width: 100%; - margin: 0; - padding: 0; - list-style: none; - box-shadow: 0 0 4px rgba(0, 0, 0, 0.25); -} -#tsd-search .results li { - padding: 0 10px; - background-color: var(--color-background); -} -#tsd-search .results li:nth-child(even) { - background-color: var(--color-panel); -} -#tsd-search .results li.state { - display: none; -} -#tsd-search .results li.current, -#tsd-search .results li:hover { - background-color: var(--color-panel-divider); -} -#tsd-search .results a { - display: block; -} -#tsd-search .results a:before { - top: 10px; -} -#tsd-search .results span.parent { - color: var(--color-text-aside); - font-weight: normal; -} -#tsd-search.has-focus { - background-color: var(--color-panel-divider); -} -#tsd-search.has-focus .field input { - top: 0; - opacity: 1; -} -#tsd-search.has-focus .title { - z-index: 0; - opacity: 0; -} -#tsd-search.has-focus .results { - visibility: visible; -} -#tsd-search.loading .results li.state.loading { - display: block; -} -#tsd-search.failure .results li.state.failure { - display: block; -} - -.tsd-signature { - margin: 0 0 1em 0; - padding: 10px; - border: 1px solid var(--color-panel-divider); - font-family: Menlo, Monaco, Consolas, "Courier New", monospace; - font-size: 14px; - overflow-x: auto; -} -.tsd-signature.tsd-kind-icon { - padding-left: 30px; -} -.tsd-signature.tsd-kind-icon:before { - top: 10px; - left: 10px; -} -.tsd-panel > .tsd-signature { - margin-left: -20px; - margin-right: -20px; - border-width: 1px 0; -} -.tsd-panel > .tsd-signature.tsd-kind-icon { - padding-left: 40px; -} -.tsd-panel > .tsd-signature.tsd-kind-icon:before { - left: 20px; -} - -.tsd-signature-symbol { - color: var(--color-text-aside); - font-weight: normal; -} - -.tsd-signature-type { - font-style: italic; - font-weight: normal; -} - -.tsd-signatures { - padding: 0; - margin: 0 0 1em 0; - border: 1px solid var(--color-panel-divider); -} -.tsd-signatures .tsd-signature { - margin: 0; - border-width: 1px 0 0 0; - transition: background-color 0.1s; -} -.tsd-signatures .tsd-signature:first-child { - border-top-width: 0; -} -.tsd-signatures .tsd-signature.current { - background-color: var(--color-panel-divider); -} -.tsd-signatures.active > .tsd-signature { - cursor: pointer; -} -.tsd-panel > .tsd-signatures { - margin-left: -20px; - margin-right: -20px; - border-width: 1px 0; -} -.tsd-panel > .tsd-signatures .tsd-signature.tsd-kind-icon { - padding-left: 40px; -} -.tsd-panel > .tsd-signatures .tsd-signature.tsd-kind-icon:before { - left: 20px; -} -.tsd-panel > a.anchor + .tsd-signatures { - border-top-width: 0; - margin-top: -20px; -} - -ul.tsd-descriptions { - position: relative; - overflow: hidden; - padding: 0; - list-style: none; -} -ul.tsd-descriptions.active > .tsd-description { - display: none; -} -ul.tsd-descriptions.active > .tsd-description.current { - display: block; -} -ul.tsd-descriptions.active > .tsd-description.fade-in { - animation: fade-in-delayed 0.3s; -} -ul.tsd-descriptions.active > .tsd-description.fade-out { - animation: fade-out-delayed 0.3s; - position: absolute; - display: block; - top: 0; - left: 0; - right: 0; - opacity: 0; - visibility: hidden; -} -ul.tsd-descriptions h4, ul.tsd-descriptions .tsd-index-panel h3, .tsd-index-panel ul.tsd-descriptions h3 { - font-size: 16px; - margin: 1em 0 0.5em 0; -} - -ul.tsd-parameters, -ul.tsd-type-parameters { - list-style: square; - margin: 0; - padding-left: 20px; -} -ul.tsd-parameters > li.tsd-parameter-signature, -ul.tsd-type-parameters > li.tsd-parameter-signature { - list-style: none; - margin-left: -20px; -} -ul.tsd-parameters h5, -ul.tsd-type-parameters h5 { - font-size: 16px; - margin: 1em 0 0.5em 0; -} -ul.tsd-parameters .tsd-comment, -ul.tsd-type-parameters .tsd-comment { - margin-top: -0.5em; -} - -.tsd-sources { - font-size: 14px; - color: var(--color-text-aside); - margin: 0 0 1em 0; -} -.tsd-sources a { - color: var(--color-text-aside); - text-decoration: underline; -} -.tsd-sources ul, .tsd-sources p { - margin: 0 !important; -} -.tsd-sources ul { - list-style: none; - padding: 0; -} - -.tsd-page-toolbar { - position: fixed; - z-index: 1; - top: 0; - left: 0; - width: 100%; - height: 40px; - color: var(--color-toolbar-text); - background: var(--color-toolbar); - border-bottom: 1px solid var(--color-panel-divider); - transition: transform 0.3s linear; - visibility: hidden; -} -.tsd-page-toolbar a { - color: var(--color-toolbar-text); - text-decoration: none; -} -.tsd-page-toolbar a.title { - font-weight: bold; -} -.tsd-page-toolbar a.title:hover { - text-decoration: underline; -} -.tsd-page-toolbar .table-wrap { - display: table; - width: 100%; - height: 40px; -} -.tsd-page-toolbar .table-cell { - display: table-cell; - position: relative; - white-space: nowrap; - line-height: 40px; -} -.tsd-page-toolbar .table-cell:first-child { - width: 100%; -} - -.tsd-page-toolbar--hide { - transform: translateY(-100%); -} - -.tsd-select .tsd-select-list li:before, .tsd-select .tsd-select-label:before, .tsd-widget:before { - content: ""; - display: inline-block; - width: 40px; - height: 40px; - margin: 0 -8px 0 0; - background-image: url(widgets.png); - background-repeat: no-repeat; - text-indent: -1024px; - vertical-align: bottom; -} -@media (-webkit-min-device-pixel-ratio: 1.5), (min-resolution: 144dpi) { - .tsd-select .tsd-select-list li:before, .tsd-select .tsd-select-label:before, .tsd-widget:before { - background-image: url(widgets@2x.png); - background-size: 320px 40px; - } -} - -.tsd-widget { - display: inline-block; - overflow: hidden; - opacity: 0.6; - height: 40px; - transition: opacity 0.1s, background-color 0.2s; - vertical-align: bottom; - cursor: pointer; - visibility: hidden; -} -.tsd-widget:hover { - opacity: 0.8; -} -.tsd-widget.active { - opacity: 1; - background-color: var(--color-panel-divider); -} -.tsd-widget.no-caption { - width: 40px; -} -.tsd-widget.no-caption:before { - margin: 0; -} -.tsd-widget.search:before { - background-position: 0 0; -} -.tsd-widget.menu:before { - background-position: -40px 0; -} -.tsd-widget.options:before { - background-position: -80px 0; -} -.tsd-widget.options, .tsd-widget.menu { - display: none; -} -@media (max-width: 900px) { - .tsd-widget.options, .tsd-widget.menu { - display: inline-block; - } -} -input[type=checkbox] + .tsd-widget:before { - background-position: -120px 0; -} -input[type=checkbox]:checked + .tsd-widget:before { - background-position: -160px 0; -} - -.tsd-select { - position: relative; - display: inline-block; - height: 40px; - transition: opacity 0.1s, background-color 0.2s; - vertical-align: bottom; - cursor: pointer; - visibility: hidden; -} -.tsd-select .tsd-select-label { - opacity: 0.6; - transition: opacity 0.2s; -} -.tsd-select .tsd-select-label:before { - background-position: -240px 0; -} -.tsd-select.active .tsd-select-label { - opacity: 0.8; -} -.tsd-select.active .tsd-select-list { - visibility: visible; - opacity: 1; - transition-delay: 0s; -} -.tsd-select .tsd-select-list { - position: absolute; - visibility: hidden; - top: 40px; - left: 0; - margin: 0; - padding: 0; - opacity: 0; - list-style: none; - box-shadow: 0 0 4px rgba(0, 0, 0, 0.25); - transition: visibility 0s 0.2s, opacity 0.2s; -} -.tsd-select .tsd-select-list li { - padding: 0 20px 0 0; - background-color: var(--color-background); -} -.tsd-select .tsd-select-list li:before { - background-position: 40px 0; -} -.tsd-select .tsd-select-list li:nth-child(even) { - background-color: var(--color-panel); -} -.tsd-select .tsd-select-list li:hover { - background-color: var(--color-panel-divider); -} -.tsd-select .tsd-select-list li.selected:before { - background-position: -200px 0; -} -@media (max-width: 900px) { - .tsd-select .tsd-select-list { - top: 0; - left: auto; - right: 100%; - margin-right: -5px; - } - .tsd-select .tsd-select-label:before { - background-position: -280px 0; - } -} - -img { - max-width: 100%; -} diff --git a/typedoc/assets/typedoc.js b/typedoc/assets/typedoc.js deleted file mode 100644 index dc257a86..00000000 --- a/typedoc/assets/typedoc.js +++ /dev/null @@ -1,248 +0,0 @@ -/* - * ATTENTION: The "eval" devtool has been used (maybe by default in mode: "development"). - * This devtool is not neither made for production nor for readable output files. - * It uses "eval()" calls to create a separate source file in the browser devtools. - * If you are trying to read the output file, select a different devtool (https://webpack.js.org/configuration/devtool/) - * or disable the default devtool with "devtool: false". - * If you are looking for production-ready output files, see mode: "production" (https://webpack.js.org/configuration/mode/). - */ -/******/ (() => { // webpackBootstrap -/******/ var __webpack_modules__ = ({ - -/***/ "../node_modules/lunr/lunr.js": -/*!************************************!*\ - !*** ../node_modules/lunr/lunr.js ***! - \************************************/ -/***/ ((module, exports, __webpack_require__) => { - -eval("var __WEBPACK_AMD_DEFINE_FACTORY__, __WEBPACK_AMD_DEFINE_RESULT__;/**\n * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9\n * Copyright (C) 2020 Oliver Nightingale\n * @license MIT\n */\n\n;(function(){\n\n/**\n * A convenience function for configuring and constructing\n * a new lunr Index.\n *\n * A lunr.Builder instance is created and the pipeline setup\n * with a trimmer, stop word filter and stemmer.\n *\n * This builder object is yielded to the configuration function\n * that is passed as a parameter, allowing the list of fields\n * and other builder parameters to be customised.\n *\n * All documents _must_ be added within the passed config function.\n *\n * @example\n * var idx = lunr(function () {\n * this.field('title')\n * this.field('body')\n * this.ref('id')\n *\n * documents.forEach(function (doc) {\n * this.add(doc)\n * }, this)\n * })\n *\n * @see {@link lunr.Builder}\n * @see {@link lunr.Pipeline}\n * @see {@link lunr.trimmer}\n * @see {@link lunr.stopWordFilter}\n * @see {@link lunr.stemmer}\n * @namespace {function} lunr\n */\nvar lunr = function (config) {\n var builder = new lunr.Builder\n\n builder.pipeline.add(\n lunr.trimmer,\n lunr.stopWordFilter,\n lunr.stemmer\n )\n\n builder.searchPipeline.add(\n lunr.stemmer\n )\n\n config.call(builder, builder)\n return builder.build()\n}\n\nlunr.version = \"2.3.9\"\n/*!\n * lunr.utils\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A namespace containing utils for the rest of the lunr library\n * @namespace lunr.utils\n */\nlunr.utils = {}\n\n/**\n * Print a warning message to the console.\n *\n * @param {String} message The message to be printed.\n * @memberOf lunr.utils\n * @function\n */\nlunr.utils.warn = (function (global) {\n /* eslint-disable no-console */\n return function (message) {\n if (global.console && console.warn) {\n console.warn(message)\n }\n }\n /* eslint-enable no-console */\n})(this)\n\n/**\n * Convert an object to a string.\n *\n * In the case of `null` and `undefined` the function returns\n * the empty string, in all other cases the result of calling\n * `toString` on the passed object is returned.\n *\n * @param {Any} obj The object to convert to a string.\n * @return {String} string representation of the passed object.\n * @memberOf lunr.utils\n */\nlunr.utils.asString = function (obj) {\n if (obj === void 0 || obj === null) {\n return \"\"\n } else {\n return obj.toString()\n }\n}\n\n/**\n * Clones an object.\n *\n * Will create a copy of an existing object such that any mutations\n * on the copy cannot affect the original.\n *\n * Only shallow objects are supported, passing a nested object to this\n * function will cause a TypeError.\n *\n * Objects with primitives, and arrays of primitives are supported.\n *\n * @param {Object} obj The object to clone.\n * @return {Object} a clone of the passed object.\n * @throws {TypeError} when a nested object is passed.\n * @memberOf Utils\n */\nlunr.utils.clone = function (obj) {\n if (obj === null || obj === undefined) {\n return obj\n }\n\n var clone = Object.create(null),\n keys = Object.keys(obj)\n\n for (var i = 0; i < keys.length; i++) {\n var key = keys[i],\n val = obj[key]\n\n if (Array.isArray(val)) {\n clone[key] = val.slice()\n continue\n }\n\n if (typeof val === 'string' ||\n typeof val === 'number' ||\n typeof val === 'boolean') {\n clone[key] = val\n continue\n }\n\n throw new TypeError(\"clone is not deep and does not support nested objects\")\n }\n\n return clone\n}\nlunr.FieldRef = function (docRef, fieldName, stringValue) {\n this.docRef = docRef\n this.fieldName = fieldName\n this._stringValue = stringValue\n}\n\nlunr.FieldRef.joiner = \"/\"\n\nlunr.FieldRef.fromString = function (s) {\n var n = s.indexOf(lunr.FieldRef.joiner)\n\n if (n === -1) {\n throw \"malformed field ref string\"\n }\n\n var fieldRef = s.slice(0, n),\n docRef = s.slice(n + 1)\n\n return new lunr.FieldRef (docRef, fieldRef, s)\n}\n\nlunr.FieldRef.prototype.toString = function () {\n if (this._stringValue == undefined) {\n this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef\n }\n\n return this._stringValue\n}\n/*!\n * lunr.Set\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A lunr set.\n *\n * @constructor\n */\nlunr.Set = function (elements) {\n this.elements = Object.create(null)\n\n if (elements) {\n this.length = elements.length\n\n for (var i = 0; i < this.length; i++) {\n this.elements[elements[i]] = true\n }\n } else {\n this.length = 0\n }\n}\n\n/**\n * A complete set that contains all elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.complete = {\n intersect: function (other) {\n return other\n },\n\n union: function () {\n return this\n },\n\n contains: function () {\n return true\n }\n}\n\n/**\n * An empty set that contains no elements.\n *\n * @static\n * @readonly\n * @type {lunr.Set}\n */\nlunr.Set.empty = {\n intersect: function () {\n return this\n },\n\n union: function (other) {\n return other\n },\n\n contains: function () {\n return false\n }\n}\n\n/**\n * Returns true if this set contains the specified object.\n *\n * @param {object} object - Object whose presence in this set is to be tested.\n * @returns {boolean} - True if this set contains the specified object.\n */\nlunr.Set.prototype.contains = function (object) {\n return !!this.elements[object]\n}\n\n/**\n * Returns a new set containing only the elements that are present in both\n * this set and the specified set.\n *\n * @param {lunr.Set} other - set to intersect with this set.\n * @returns {lunr.Set} a new set that is the intersection of this and the specified set.\n */\n\nlunr.Set.prototype.intersect = function (other) {\n var a, b, elements, intersection = []\n\n if (other === lunr.Set.complete) {\n return this\n }\n\n if (other === lunr.Set.empty) {\n return other\n }\n\n if (this.length < other.length) {\n a = this\n b = other\n } else {\n a = other\n b = this\n }\n\n elements = Object.keys(a.elements)\n\n for (var i = 0; i < elements.length; i++) {\n var element = elements[i]\n if (element in b.elements) {\n intersection.push(element)\n }\n }\n\n return new lunr.Set (intersection)\n}\n\n/**\n * Returns a new set combining the elements of this and the specified set.\n *\n * @param {lunr.Set} other - set to union with this set.\n * @return {lunr.Set} a new set that is the union of this and the specified set.\n */\n\nlunr.Set.prototype.union = function (other) {\n if (other === lunr.Set.complete) {\n return lunr.Set.complete\n }\n\n if (other === lunr.Set.empty) {\n return this\n }\n\n return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))\n}\n/**\n * A function to calculate the inverse document frequency for\n * a posting. This is shared between the builder and the index\n *\n * @private\n * @param {object} posting - The posting for a given term\n * @param {number} documentCount - The total number of documents.\n */\nlunr.idf = function (posting, documentCount) {\n var documentsWithTerm = 0\n\n for (var fieldName in posting) {\n if (fieldName == '_index') continue // Ignore the term index, its not a field\n documentsWithTerm += Object.keys(posting[fieldName]).length\n }\n\n var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)\n\n return Math.log(1 + Math.abs(x))\n}\n\n/**\n * A token wraps a string representation of a token\n * as it is passed through the text processing pipeline.\n *\n * @constructor\n * @param {string} [str=''] - The string token being wrapped.\n * @param {object} [metadata={}] - Metadata associated with this token.\n */\nlunr.Token = function (str, metadata) {\n this.str = str || \"\"\n this.metadata = metadata || {}\n}\n\n/**\n * Returns the token string that is being wrapped by this object.\n *\n * @returns {string}\n */\nlunr.Token.prototype.toString = function () {\n return this.str\n}\n\n/**\n * A token update function is used when updating or optionally\n * when cloning a token.\n *\n * @callback lunr.Token~updateFunction\n * @param {string} str - The string representation of the token.\n * @param {Object} metadata - All metadata associated with this token.\n */\n\n/**\n * Applies the given function to the wrapped string token.\n *\n * @example\n * token.update(function (str, metadata) {\n * return str.toUpperCase()\n * })\n *\n * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.update = function (fn) {\n this.str = fn(this.str, this.metadata)\n return this\n}\n\n/**\n * Creates a clone of this token. Optionally a function can be\n * applied to the cloned token.\n *\n * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.\n * @returns {lunr.Token}\n */\nlunr.Token.prototype.clone = function (fn) {\n fn = fn || function (s) { return s }\n return new lunr.Token (fn(this.str, this.metadata), this.metadata)\n}\n/*!\n * lunr.tokenizer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A function for splitting a string into tokens ready to be inserted into\n * the search index. Uses `lunr.tokenizer.separator` to split strings, change\n * the value of this property to change how strings are split into tokens.\n *\n * This tokenizer will convert its parameter to a string by calling `toString` and\n * then will split this string on the character in `lunr.tokenizer.separator`.\n * Arrays will have their elements converted to strings and wrapped in a lunr.Token.\n *\n * Optional metadata can be passed to the tokenizer, this metadata will be cloned and\n * added as metadata to every token that is created from the object to be tokenized.\n *\n * @static\n * @param {?(string|object|object[])} obj - The object to convert into tokens\n * @param {?object} metadata - Optional metadata to associate with every token\n * @returns {lunr.Token[]}\n * @see {@link lunr.Pipeline}\n */\nlunr.tokenizer = function (obj, metadata) {\n if (obj == null || obj == undefined) {\n return []\n }\n\n if (Array.isArray(obj)) {\n return obj.map(function (t) {\n return new lunr.Token(\n lunr.utils.asString(t).toLowerCase(),\n lunr.utils.clone(metadata)\n )\n })\n }\n\n var str = obj.toString().toLowerCase(),\n len = str.length,\n tokens = []\n\n for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {\n var char = str.charAt(sliceEnd),\n sliceLength = sliceEnd - sliceStart\n\n if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {\n\n if (sliceLength > 0) {\n var tokenMetadata = lunr.utils.clone(metadata) || {}\n tokenMetadata[\"position\"] = [sliceStart, sliceLength]\n tokenMetadata[\"index\"] = tokens.length\n\n tokens.push(\n new lunr.Token (\n str.slice(sliceStart, sliceEnd),\n tokenMetadata\n )\n )\n }\n\n sliceStart = sliceEnd + 1\n }\n\n }\n\n return tokens\n}\n\n/**\n * The separator used to split a string into tokens. Override this property to change the behaviour of\n * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.\n *\n * @static\n * @see lunr.tokenizer\n */\nlunr.tokenizer.separator = /[\\s\\-]+/\n/*!\n * lunr.Pipeline\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Pipelines maintain an ordered list of functions to be applied to all\n * tokens in documents entering the search index and queries being ran against\n * the index.\n *\n * An instance of lunr.Index created with the lunr shortcut will contain a\n * pipeline with a stop word filter and an English language stemmer. Extra\n * functions can be added before or after either of these functions or these\n * default functions can be removed.\n *\n * When run the pipeline will call each function in turn, passing a token, the\n * index of that token in the original list of all tokens and finally a list of\n * all the original tokens.\n *\n * The output of functions in the pipeline will be passed to the next function\n * in the pipeline. To exclude a token from entering the index the function\n * should return undefined, the rest of the pipeline will not be called with\n * this token.\n *\n * For serialisation of pipelines to work, all functions used in an instance of\n * a pipeline should be registered with lunr.Pipeline. Registered functions can\n * then be loaded. If trying to load a serialised pipeline that uses functions\n * that are not registered an error will be thrown.\n *\n * If not planning on serialising the pipeline then registering pipeline functions\n * is not necessary.\n *\n * @constructor\n */\nlunr.Pipeline = function () {\n this._stack = []\n}\n\nlunr.Pipeline.registeredFunctions = Object.create(null)\n\n/**\n * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token\n * string as well as all known metadata. A pipeline function can mutate the token string\n * or mutate (or add) metadata for a given token.\n *\n * A pipeline function can indicate that the passed token should be discarded by returning\n * null, undefined or an empty string. This token will not be passed to any downstream pipeline\n * functions and will not be added to the index.\n *\n * Multiple tokens can be returned by returning an array of tokens. Each token will be passed\n * to any downstream pipeline functions and all will returned tokens will be added to the index.\n *\n * Any number of pipeline functions may be chained together using a lunr.Pipeline.\n *\n * @interface lunr.PipelineFunction\n * @param {lunr.Token} token - A token from the document being processed.\n * @param {number} i - The index of this token in the complete list of tokens for this document/field.\n * @param {lunr.Token[]} tokens - All tokens for this document/field.\n * @returns {(?lunr.Token|lunr.Token[])}\n */\n\n/**\n * Register a function with the pipeline.\n *\n * Functions that are used in the pipeline should be registered if the pipeline\n * needs to be serialised, or a serialised pipeline needs to be loaded.\n *\n * Registering a function does not add it to a pipeline, functions must still be\n * added to instances of the pipeline for them to be used when running a pipeline.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @param {String} label - The label to register this function with\n */\nlunr.Pipeline.registerFunction = function (fn, label) {\n if (label in this.registeredFunctions) {\n lunr.utils.warn('Overwriting existing registered function: ' + label)\n }\n\n fn.label = label\n lunr.Pipeline.registeredFunctions[fn.label] = fn\n}\n\n/**\n * Warns if the function is not registered as a Pipeline function.\n *\n * @param {lunr.PipelineFunction} fn - The function to check for.\n * @private\n */\nlunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {\n var isRegistered = fn.label && (fn.label in this.registeredFunctions)\n\n if (!isRegistered) {\n lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\\n', fn)\n }\n}\n\n/**\n * Loads a previously serialised pipeline.\n *\n * All functions to be loaded must already be registered with lunr.Pipeline.\n * If any function from the serialised data has not been registered then an\n * error will be thrown.\n *\n * @param {Object} serialised - The serialised pipeline to load.\n * @returns {lunr.Pipeline}\n */\nlunr.Pipeline.load = function (serialised) {\n var pipeline = new lunr.Pipeline\n\n serialised.forEach(function (fnName) {\n var fn = lunr.Pipeline.registeredFunctions[fnName]\n\n if (fn) {\n pipeline.add(fn)\n } else {\n throw new Error('Cannot load unregistered function: ' + fnName)\n }\n })\n\n return pipeline\n}\n\n/**\n * Adds new functions to the end of the pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.\n */\nlunr.Pipeline.prototype.add = function () {\n var fns = Array.prototype.slice.call(arguments)\n\n fns.forEach(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n this._stack.push(fn)\n }, this)\n}\n\n/**\n * Adds a single function after a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.after = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n pos = pos + 1\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Adds a single function before a function that already exists in the\n * pipeline.\n *\n * Logs a warning if the function has not been registered.\n *\n * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.\n * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.\n */\nlunr.Pipeline.prototype.before = function (existingFn, newFn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(newFn)\n\n var pos = this._stack.indexOf(existingFn)\n if (pos == -1) {\n throw new Error('Cannot find existingFn')\n }\n\n this._stack.splice(pos, 0, newFn)\n}\n\n/**\n * Removes a function from the pipeline.\n *\n * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.\n */\nlunr.Pipeline.prototype.remove = function (fn) {\n var pos = this._stack.indexOf(fn)\n if (pos == -1) {\n return\n }\n\n this._stack.splice(pos, 1)\n}\n\n/**\n * Runs the current list of functions that make up the pipeline against the\n * passed tokens.\n *\n * @param {Array} tokens The tokens to run through the pipeline.\n * @returns {Array}\n */\nlunr.Pipeline.prototype.run = function (tokens) {\n var stackLength = this._stack.length\n\n for (var i = 0; i < stackLength; i++) {\n var fn = this._stack[i]\n var memo = []\n\n for (var j = 0; j < tokens.length; j++) {\n var result = fn(tokens[j], j, tokens)\n\n if (result === null || result === void 0 || result === '') continue\n\n if (Array.isArray(result)) {\n for (var k = 0; k < result.length; k++) {\n memo.push(result[k])\n }\n } else {\n memo.push(result)\n }\n }\n\n tokens = memo\n }\n\n return tokens\n}\n\n/**\n * Convenience method for passing a string through a pipeline and getting\n * strings out. This method takes care of wrapping the passed string in a\n * token and mapping the resulting tokens back to strings.\n *\n * @param {string} str - The string to pass through the pipeline.\n * @param {?object} metadata - Optional metadata to associate with the token\n * passed to the pipeline.\n * @returns {string[]}\n */\nlunr.Pipeline.prototype.runString = function (str, metadata) {\n var token = new lunr.Token (str, metadata)\n\n return this.run([token]).map(function (t) {\n return t.toString()\n })\n}\n\n/**\n * Resets the pipeline by removing any existing processors.\n *\n */\nlunr.Pipeline.prototype.reset = function () {\n this._stack = []\n}\n\n/**\n * Returns a representation of the pipeline ready for serialisation.\n *\n * Logs a warning if the function has not been registered.\n *\n * @returns {Array}\n */\nlunr.Pipeline.prototype.toJSON = function () {\n return this._stack.map(function (fn) {\n lunr.Pipeline.warnIfFunctionNotRegistered(fn)\n\n return fn.label\n })\n}\n/*!\n * lunr.Vector\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A vector is used to construct the vector space of documents and queries. These\n * vectors support operations to determine the similarity between two documents or\n * a document and a query.\n *\n * Normally no parameters are required for initializing a vector, but in the case of\n * loading a previously dumped vector the raw elements can be provided to the constructor.\n *\n * For performance reasons vectors are implemented with a flat array, where an elements\n * index is immediately followed by its value. E.g. [index, value, index, value]. This\n * allows the underlying array to be as sparse as possible and still offer decent\n * performance when being used for vector calculations.\n *\n * @constructor\n * @param {Number[]} [elements] - The flat list of element index and element value pairs.\n */\nlunr.Vector = function (elements) {\n this._magnitude = 0\n this.elements = elements || []\n}\n\n\n/**\n * Calculates the position within the vector to insert a given index.\n *\n * This is used internally by insert and upsert. If there are duplicate indexes then\n * the position is returned as if the value for that index were to be updated, but it\n * is the callers responsibility to check whether there is a duplicate at that index\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @returns {Number}\n */\nlunr.Vector.prototype.positionForIndex = function (index) {\n // For an empty vector the tuple can be inserted at the beginning\n if (this.elements.length == 0) {\n return 0\n }\n\n var start = 0,\n end = this.elements.length / 2,\n sliceLength = end - start,\n pivotPoint = Math.floor(sliceLength / 2),\n pivotIndex = this.elements[pivotPoint * 2]\n\n while (sliceLength > 1) {\n if (pivotIndex < index) {\n start = pivotPoint\n }\n\n if (pivotIndex > index) {\n end = pivotPoint\n }\n\n if (pivotIndex == index) {\n break\n }\n\n sliceLength = end - start\n pivotPoint = start + Math.floor(sliceLength / 2)\n pivotIndex = this.elements[pivotPoint * 2]\n }\n\n if (pivotIndex == index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex > index) {\n return pivotPoint * 2\n }\n\n if (pivotIndex < index) {\n return (pivotPoint + 1) * 2\n }\n}\n\n/**\n * Inserts an element at an index within the vector.\n *\n * Does not allow duplicates, will throw an error if there is already an entry\n * for this index.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n */\nlunr.Vector.prototype.insert = function (insertIdx, val) {\n this.upsert(insertIdx, val, function () {\n throw \"duplicate index\"\n })\n}\n\n/**\n * Inserts or updates an existing index within the vector.\n *\n * @param {Number} insertIdx - The index at which the element should be inserted.\n * @param {Number} val - The value to be inserted into the vector.\n * @param {function} fn - A function that is called for updates, the existing value and the\n * requested value are passed as arguments\n */\nlunr.Vector.prototype.upsert = function (insertIdx, val, fn) {\n this._magnitude = 0\n var position = this.positionForIndex(insertIdx)\n\n if (this.elements[position] == insertIdx) {\n this.elements[position + 1] = fn(this.elements[position + 1], val)\n } else {\n this.elements.splice(position, 0, insertIdx, val)\n }\n}\n\n/**\n * Calculates the magnitude of this vector.\n *\n * @returns {Number}\n */\nlunr.Vector.prototype.magnitude = function () {\n if (this._magnitude) return this._magnitude\n\n var sumOfSquares = 0,\n elementsLength = this.elements.length\n\n for (var i = 1; i < elementsLength; i += 2) {\n var val = this.elements[i]\n sumOfSquares += val * val\n }\n\n return this._magnitude = Math.sqrt(sumOfSquares)\n}\n\n/**\n * Calculates the dot product of this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The vector to compute the dot product with.\n * @returns {Number}\n */\nlunr.Vector.prototype.dot = function (otherVector) {\n var dotProduct = 0,\n a = this.elements, b = otherVector.elements,\n aLen = a.length, bLen = b.length,\n aVal = 0, bVal = 0,\n i = 0, j = 0\n\n while (i < aLen && j < bLen) {\n aVal = a[i], bVal = b[j]\n if (aVal < bVal) {\n i += 2\n } else if (aVal > bVal) {\n j += 2\n } else if (aVal == bVal) {\n dotProduct += a[i + 1] * b[j + 1]\n i += 2\n j += 2\n }\n }\n\n return dotProduct\n}\n\n/**\n * Calculates the similarity between this vector and another vector.\n *\n * @param {lunr.Vector} otherVector - The other vector to calculate the\n * similarity with.\n * @returns {Number}\n */\nlunr.Vector.prototype.similarity = function (otherVector) {\n return this.dot(otherVector) / this.magnitude() || 0\n}\n\n/**\n * Converts the vector to an array of the elements within the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toArray = function () {\n var output = new Array (this.elements.length / 2)\n\n for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {\n output[j] = this.elements[i]\n }\n\n return output\n}\n\n/**\n * A JSON serializable representation of the vector.\n *\n * @returns {Number[]}\n */\nlunr.Vector.prototype.toJSON = function () {\n return this.elements\n}\n/* eslint-disable */\n/*!\n * lunr.stemmer\n * Copyright (C) 2020 Oliver Nightingale\n * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt\n */\n\n/**\n * lunr.stemmer is an english language stemmer, this is a JavaScript\n * implementation of the PorterStemmer taken from http://tartarus.org/~martin\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token - The string to stem\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n * @function\n */\nlunr.stemmer = (function(){\n var step2list = {\n \"ational\" : \"ate\",\n \"tional\" : \"tion\",\n \"enci\" : \"ence\",\n \"anci\" : \"ance\",\n \"izer\" : \"ize\",\n \"bli\" : \"ble\",\n \"alli\" : \"al\",\n \"entli\" : \"ent\",\n \"eli\" : \"e\",\n \"ousli\" : \"ous\",\n \"ization\" : \"ize\",\n \"ation\" : \"ate\",\n \"ator\" : \"ate\",\n \"alism\" : \"al\",\n \"iveness\" : \"ive\",\n \"fulness\" : \"ful\",\n \"ousness\" : \"ous\",\n \"aliti\" : \"al\",\n \"iviti\" : \"ive\",\n \"biliti\" : \"ble\",\n \"logi\" : \"log\"\n },\n\n step3list = {\n \"icate\" : \"ic\",\n \"ative\" : \"\",\n \"alize\" : \"al\",\n \"iciti\" : \"ic\",\n \"ical\" : \"ic\",\n \"ful\" : \"\",\n \"ness\" : \"\"\n },\n\n c = \"[^aeiou]\", // consonant\n v = \"[aeiouy]\", // vowel\n C = c + \"[^aeiouy]*\", // consonant sequence\n V = v + \"[aeiou]*\", // vowel sequence\n\n mgr0 = \"^(\" + C + \")?\" + V + C, // [C]VC... is m>0\n meq1 = \"^(\" + C + \")?\" + V + C + \"(\" + V + \")?$\", // [C]VC[V] is m=1\n mgr1 = \"^(\" + C + \")?\" + V + C + V + C, // [C]VCVC... is m>1\n s_v = \"^(\" + C + \")?\" + v; // vowel in stem\n\n var re_mgr0 = new RegExp(mgr0);\n var re_mgr1 = new RegExp(mgr1);\n var re_meq1 = new RegExp(meq1);\n var re_s_v = new RegExp(s_v);\n\n var re_1a = /^(.+?)(ss|i)es$/;\n var re2_1a = /^(.+?)([^s])s$/;\n var re_1b = /^(.+?)eed$/;\n var re2_1b = /^(.+?)(ed|ing)$/;\n var re_1b_2 = /.$/;\n var re2_1b_2 = /(at|bl|iz)$/;\n var re3_1b_2 = new RegExp(\"([^aeiouylsz])\\\\1$\");\n var re4_1b_2 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var re_1c = /^(.+?[^aeiou])y$/;\n var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;\n\n var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;\n\n var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;\n var re2_4 = /^(.+?)(s|t)(ion)$/;\n\n var re_5 = /^(.+?)e$/;\n var re_5_1 = /ll$/;\n var re3_5 = new RegExp(\"^\" + C + v + \"[^aeiouwxy]$\");\n\n var porterStemmer = function porterStemmer(w) {\n var stem,\n suffix,\n firstch,\n re,\n re2,\n re3,\n re4;\n\n if (w.length < 3) { return w; }\n\n firstch = w.substr(0,1);\n if (firstch == \"y\") {\n w = firstch.toUpperCase() + w.substr(1);\n }\n\n // Step 1a\n re = re_1a\n re2 = re2_1a;\n\n if (re.test(w)) { w = w.replace(re,\"$1$2\"); }\n else if (re2.test(w)) { w = w.replace(re2,\"$1$2\"); }\n\n // Step 1b\n re = re_1b;\n re2 = re2_1b;\n if (re.test(w)) {\n var fp = re.exec(w);\n re = re_mgr0;\n if (re.test(fp[1])) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1];\n re2 = re_s_v;\n if (re2.test(stem)) {\n w = stem;\n re2 = re2_1b_2;\n re3 = re3_1b_2;\n re4 = re4_1b_2;\n if (re2.test(w)) { w = w + \"e\"; }\n else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,\"\"); }\n else if (re4.test(w)) { w = w + \"e\"; }\n }\n }\n\n // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)\n re = re_1c;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n w = stem + \"i\";\n }\n\n // Step 2\n re = re_2;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step2list[suffix];\n }\n }\n\n // Step 3\n re = re_3;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n suffix = fp[2];\n re = re_mgr0;\n if (re.test(stem)) {\n w = stem + step3list[suffix];\n }\n }\n\n // Step 4\n re = re_4;\n re2 = re2_4;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n if (re.test(stem)) {\n w = stem;\n }\n } else if (re2.test(w)) {\n var fp = re2.exec(w);\n stem = fp[1] + fp[2];\n re2 = re_mgr1;\n if (re2.test(stem)) {\n w = stem;\n }\n }\n\n // Step 5\n re = re_5;\n if (re.test(w)) {\n var fp = re.exec(w);\n stem = fp[1];\n re = re_mgr1;\n re2 = re_meq1;\n re3 = re3_5;\n if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {\n w = stem;\n }\n }\n\n re = re_5_1;\n re2 = re_mgr1;\n if (re.test(w) && re2.test(w)) {\n re = re_1b_2;\n w = w.replace(re,\"\");\n }\n\n // and turn initial Y back to y\n\n if (firstch == \"y\") {\n w = firstch.toLowerCase() + w.substr(1);\n }\n\n return w;\n };\n\n return function (token) {\n return token.update(porterStemmer);\n }\n})();\n\nlunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')\n/*!\n * lunr.stopWordFilter\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.generateStopWordFilter builds a stopWordFilter function from the provided\n * list of stop words.\n *\n * The built in lunr.stopWordFilter is built using this generator and can be used\n * to generate custom stopWordFilters for applications or non English languages.\n *\n * @function\n * @param {Array} token The token to pass through the filter\n * @returns {lunr.PipelineFunction}\n * @see lunr.Pipeline\n * @see lunr.stopWordFilter\n */\nlunr.generateStopWordFilter = function (stopWords) {\n var words = stopWords.reduce(function (memo, stopWord) {\n memo[stopWord] = stopWord\n return memo\n }, {})\n\n return function (token) {\n if (token && words[token.toString()] !== token.toString()) return token\n }\n}\n\n/**\n * lunr.stopWordFilter is an English language stop word list filter, any words\n * contained in the list will not be passed through the filter.\n *\n * This is intended to be used in the Pipeline. If the token does not pass the\n * filter then undefined will be returned.\n *\n * @function\n * @implements {lunr.PipelineFunction}\n * @params {lunr.Token} token - A token to check for being a stop word.\n * @returns {lunr.Token}\n * @see {@link lunr.Pipeline}\n */\nlunr.stopWordFilter = lunr.generateStopWordFilter([\n 'a',\n 'able',\n 'about',\n 'across',\n 'after',\n 'all',\n 'almost',\n 'also',\n 'am',\n 'among',\n 'an',\n 'and',\n 'any',\n 'are',\n 'as',\n 'at',\n 'be',\n 'because',\n 'been',\n 'but',\n 'by',\n 'can',\n 'cannot',\n 'could',\n 'dear',\n 'did',\n 'do',\n 'does',\n 'either',\n 'else',\n 'ever',\n 'every',\n 'for',\n 'from',\n 'get',\n 'got',\n 'had',\n 'has',\n 'have',\n 'he',\n 'her',\n 'hers',\n 'him',\n 'his',\n 'how',\n 'however',\n 'i',\n 'if',\n 'in',\n 'into',\n 'is',\n 'it',\n 'its',\n 'just',\n 'least',\n 'let',\n 'like',\n 'likely',\n 'may',\n 'me',\n 'might',\n 'most',\n 'must',\n 'my',\n 'neither',\n 'no',\n 'nor',\n 'not',\n 'of',\n 'off',\n 'often',\n 'on',\n 'only',\n 'or',\n 'other',\n 'our',\n 'own',\n 'rather',\n 'said',\n 'say',\n 'says',\n 'she',\n 'should',\n 'since',\n 'so',\n 'some',\n 'than',\n 'that',\n 'the',\n 'their',\n 'them',\n 'then',\n 'there',\n 'these',\n 'they',\n 'this',\n 'tis',\n 'to',\n 'too',\n 'twas',\n 'us',\n 'wants',\n 'was',\n 'we',\n 'were',\n 'what',\n 'when',\n 'where',\n 'which',\n 'while',\n 'who',\n 'whom',\n 'why',\n 'will',\n 'with',\n 'would',\n 'yet',\n 'you',\n 'your'\n])\n\nlunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')\n/*!\n * lunr.trimmer\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.trimmer is a pipeline function for trimming non word\n * characters from the beginning and end of tokens before they\n * enter the index.\n *\n * This implementation may not work correctly for non latin\n * characters and should either be removed or adapted for use\n * with languages with non-latin characters.\n *\n * @static\n * @implements {lunr.PipelineFunction}\n * @param {lunr.Token} token The token to pass through the filter\n * @returns {lunr.Token}\n * @see lunr.Pipeline\n */\nlunr.trimmer = function (token) {\n return token.update(function (s) {\n return s.replace(/^\\W+/, '').replace(/\\W+$/, '')\n })\n}\n\nlunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')\n/*!\n * lunr.TokenSet\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * A token set is used to store the unique list of all tokens\n * within an index. Token sets are also used to represent an\n * incoming query to the index, this query token set and index\n * token set are then intersected to find which tokens to look\n * up in the inverted index.\n *\n * A token set can hold multiple tokens, as in the case of the\n * index token set, or it can hold a single token as in the\n * case of a simple query token set.\n *\n * Additionally token sets are used to perform wildcard matching.\n * Leading, contained and trailing wildcards are supported, and\n * from this edit distance matching can also be provided.\n *\n * Token sets are implemented as a minimal finite state automata,\n * where both common prefixes and suffixes are shared between tokens.\n * This helps to reduce the space used for storing the token set.\n *\n * @constructor\n */\nlunr.TokenSet = function () {\n this.final = false\n this.edges = {}\n this.id = lunr.TokenSet._nextId\n lunr.TokenSet._nextId += 1\n}\n\n/**\n * Keeps track of the next, auto increment, identifier to assign\n * to a new tokenSet.\n *\n * TokenSets require a unique identifier to be correctly minimised.\n *\n * @private\n */\nlunr.TokenSet._nextId = 1\n\n/**\n * Creates a TokenSet instance from the given sorted array of words.\n *\n * @param {String[]} arr - A sorted array of strings to create the set from.\n * @returns {lunr.TokenSet}\n * @throws Will throw an error if the input array is not sorted.\n */\nlunr.TokenSet.fromArray = function (arr) {\n var builder = new lunr.TokenSet.Builder\n\n for (var i = 0, len = arr.length; i < len; i++) {\n builder.insert(arr[i])\n }\n\n builder.finish()\n return builder.root\n}\n\n/**\n * Creates a token set from a query clause.\n *\n * @private\n * @param {Object} clause - A single clause from lunr.Query.\n * @param {string} clause.term - The query clause term.\n * @param {number} [clause.editDistance] - The optional edit distance for the term.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromClause = function (clause) {\n if ('editDistance' in clause) {\n return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)\n } else {\n return lunr.TokenSet.fromString(clause.term)\n }\n}\n\n/**\n * Creates a token set representing a single string with a specified\n * edit distance.\n *\n * Insertions, deletions, substitutions and transpositions are each\n * treated as an edit distance of 1.\n *\n * Increasing the allowed edit distance will have a dramatic impact\n * on the performance of both creating and intersecting these TokenSets.\n * It is advised to keep the edit distance less than 3.\n *\n * @param {string} str - The string to create the token set from.\n * @param {number} editDistance - The allowed edit distance to match.\n * @returns {lunr.Vector}\n */\nlunr.TokenSet.fromFuzzyString = function (str, editDistance) {\n var root = new lunr.TokenSet\n\n var stack = [{\n node: root,\n editsRemaining: editDistance,\n str: str\n }]\n\n while (stack.length) {\n var frame = stack.pop()\n\n // no edit\n if (frame.str.length > 0) {\n var char = frame.str.charAt(0),\n noEditNode\n\n if (char in frame.node.edges) {\n noEditNode = frame.node.edges[char]\n } else {\n noEditNode = new lunr.TokenSet\n frame.node.edges[char] = noEditNode\n }\n\n if (frame.str.length == 1) {\n noEditNode.final = true\n }\n\n stack.push({\n node: noEditNode,\n editsRemaining: frame.editsRemaining,\n str: frame.str.slice(1)\n })\n }\n\n if (frame.editsRemaining == 0) {\n continue\n }\n\n // insertion\n if (\"*\" in frame.node.edges) {\n var insertionNode = frame.node.edges[\"*\"]\n } else {\n var insertionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = insertionNode\n }\n\n if (frame.str.length == 0) {\n insertionNode.final = true\n }\n\n stack.push({\n node: insertionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str\n })\n\n // deletion\n // can only do a deletion if we have enough edits remaining\n // and if there are characters left to delete in the string\n if (frame.str.length > 1) {\n stack.push({\n node: frame.node,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // deletion\n // just removing the last character from the str\n if (frame.str.length == 1) {\n frame.node.final = true\n }\n\n // substitution\n // can only do a substitution if we have enough edits remaining\n // and if there are characters left to substitute\n if (frame.str.length >= 1) {\n if (\"*\" in frame.node.edges) {\n var substitutionNode = frame.node.edges[\"*\"]\n } else {\n var substitutionNode = new lunr.TokenSet\n frame.node.edges[\"*\"] = substitutionNode\n }\n\n if (frame.str.length == 1) {\n substitutionNode.final = true\n }\n\n stack.push({\n node: substitutionNode,\n editsRemaining: frame.editsRemaining - 1,\n str: frame.str.slice(1)\n })\n }\n\n // transposition\n // can only do a transposition if there are edits remaining\n // and there are enough characters to transpose\n if (frame.str.length > 1) {\n var charA = frame.str.charAt(0),\n charB = frame.str.charAt(1),\n transposeNode\n\n if (charB in frame.node.edges) {\n transposeNode = frame.node.edges[charB]\n } else {\n transposeNode = new lunr.TokenSet\n frame.node.edges[charB] = transposeNode\n }\n\n if (frame.str.length == 1) {\n transposeNode.final = true\n }\n\n stack.push({\n node: transposeNode,\n editsRemaining: frame.editsRemaining - 1,\n str: charA + frame.str.slice(2)\n })\n }\n }\n\n return root\n}\n\n/**\n * Creates a TokenSet from a string.\n *\n * The string may contain one or more wildcard characters (*)\n * that will allow wildcard matching when intersecting with\n * another TokenSet.\n *\n * @param {string} str - The string to create a TokenSet from.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.fromString = function (str) {\n var node = new lunr.TokenSet,\n root = node\n\n /*\n * Iterates through all characters within the passed string\n * appending a node for each character.\n *\n * When a wildcard character is found then a self\n * referencing edge is introduced to continually match\n * any number of any characters.\n */\n for (var i = 0, len = str.length; i < len; i++) {\n var char = str[i],\n final = (i == len - 1)\n\n if (char == \"*\") {\n node.edges[char] = node\n node.final = final\n\n } else {\n var next = new lunr.TokenSet\n next.final = final\n\n node.edges[char] = next\n node = next\n }\n }\n\n return root\n}\n\n/**\n * Converts this TokenSet into an array of strings\n * contained within the TokenSet.\n *\n * This is not intended to be used on a TokenSet that\n * contains wildcards, in these cases the results are\n * undefined and are likely to cause an infinite loop.\n *\n * @returns {string[]}\n */\nlunr.TokenSet.prototype.toArray = function () {\n var words = []\n\n var stack = [{\n prefix: \"\",\n node: this\n }]\n\n while (stack.length) {\n var frame = stack.pop(),\n edges = Object.keys(frame.node.edges),\n len = edges.length\n\n if (frame.node.final) {\n /* In Safari, at this point the prefix is sometimes corrupted, see:\n * https://github.com/olivernn/lunr.js/issues/279 Calling any\n * String.prototype method forces Safari to \"cast\" this string to what\n * it's supposed to be, fixing the bug. */\n frame.prefix.charAt(0)\n words.push(frame.prefix)\n }\n\n for (var i = 0; i < len; i++) {\n var edge = edges[i]\n\n stack.push({\n prefix: frame.prefix.concat(edge),\n node: frame.node.edges[edge]\n })\n }\n }\n\n return words\n}\n\n/**\n * Generates a string representation of a TokenSet.\n *\n * This is intended to allow TokenSets to be used as keys\n * in objects, largely to aid the construction and minimisation\n * of a TokenSet. As such it is not designed to be a human\n * friendly representation of the TokenSet.\n *\n * @returns {string}\n */\nlunr.TokenSet.prototype.toString = function () {\n // NOTE: Using Object.keys here as this.edges is very likely\n // to enter 'hash-mode' with many keys being added\n //\n // avoiding a for-in loop here as it leads to the function\n // being de-optimised (at least in V8). From some simple\n // benchmarks the performance is comparable, but allowing\n // V8 to optimize may mean easy performance wins in the future.\n\n if (this._str) {\n return this._str\n }\n\n var str = this.final ? '1' : '0',\n labels = Object.keys(this.edges).sort(),\n len = labels.length\n\n for (var i = 0; i < len; i++) {\n var label = labels[i],\n node = this.edges[label]\n\n str = str + label + node.id\n }\n\n return str\n}\n\n/**\n * Returns a new TokenSet that is the intersection of\n * this TokenSet and the passed TokenSet.\n *\n * This intersection will take into account any wildcards\n * contained within the TokenSet.\n *\n * @param {lunr.TokenSet} b - An other TokenSet to intersect with.\n * @returns {lunr.TokenSet}\n */\nlunr.TokenSet.prototype.intersect = function (b) {\n var output = new lunr.TokenSet,\n frame = undefined\n\n var stack = [{\n qNode: b,\n output: output,\n node: this\n }]\n\n while (stack.length) {\n frame = stack.pop()\n\n // NOTE: As with the #toString method, we are using\n // Object.keys and a for loop instead of a for-in loop\n // as both of these objects enter 'hash' mode, causing\n // the function to be de-optimised in V8\n var qEdges = Object.keys(frame.qNode.edges),\n qLen = qEdges.length,\n nEdges = Object.keys(frame.node.edges),\n nLen = nEdges.length\n\n for (var q = 0; q < qLen; q++) {\n var qEdge = qEdges[q]\n\n for (var n = 0; n < nLen; n++) {\n var nEdge = nEdges[n]\n\n if (nEdge == qEdge || qEdge == '*') {\n var node = frame.node.edges[nEdge],\n qNode = frame.qNode.edges[qEdge],\n final = node.final && qNode.final,\n next = undefined\n\n if (nEdge in frame.output.edges) {\n // an edge already exists for this character\n // no need to create a new node, just set the finality\n // bit unless this node is already final\n next = frame.output.edges[nEdge]\n next.final = next.final || final\n\n } else {\n // no edge exists yet, must create one\n // set the finality bit and insert it\n // into the output\n next = new lunr.TokenSet\n next.final = final\n frame.output.edges[nEdge] = next\n }\n\n stack.push({\n qNode: qNode,\n output: next,\n node: node\n })\n }\n }\n }\n }\n\n return output\n}\nlunr.TokenSet.Builder = function () {\n this.previousWord = \"\"\n this.root = new lunr.TokenSet\n this.uncheckedNodes = []\n this.minimizedNodes = {}\n}\n\nlunr.TokenSet.Builder.prototype.insert = function (word) {\n var node,\n commonPrefix = 0\n\n if (word < this.previousWord) {\n throw new Error (\"Out of order word insertion\")\n }\n\n for (var i = 0; i < word.length && i < this.previousWord.length; i++) {\n if (word[i] != this.previousWord[i]) break\n commonPrefix++\n }\n\n this.minimize(commonPrefix)\n\n if (this.uncheckedNodes.length == 0) {\n node = this.root\n } else {\n node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child\n }\n\n for (var i = commonPrefix; i < word.length; i++) {\n var nextNode = new lunr.TokenSet,\n char = word[i]\n\n node.edges[char] = nextNode\n\n this.uncheckedNodes.push({\n parent: node,\n char: char,\n child: nextNode\n })\n\n node = nextNode\n }\n\n node.final = true\n this.previousWord = word\n}\n\nlunr.TokenSet.Builder.prototype.finish = function () {\n this.minimize(0)\n}\n\nlunr.TokenSet.Builder.prototype.minimize = function (downTo) {\n for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {\n var node = this.uncheckedNodes[i],\n childKey = node.child.toString()\n\n if (childKey in this.minimizedNodes) {\n node.parent.edges[node.char] = this.minimizedNodes[childKey]\n } else {\n // Cache the key for this node since\n // we know it can't change anymore\n node.child._str = childKey\n\n this.minimizedNodes[childKey] = node.child\n }\n\n this.uncheckedNodes.pop()\n }\n}\n/*!\n * lunr.Index\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * An index contains the built index of all documents and provides a query interface\n * to the index.\n *\n * Usually instances of lunr.Index will not be created using this constructor, instead\n * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be\n * used to load previously built and serialized indexes.\n *\n * @constructor\n * @param {Object} attrs - The attributes of the built search index.\n * @param {Object} attrs.invertedIndex - An index of term/field to document reference.\n * @param {Object} attrs.fieldVectors - Field vectors\n * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.\n * @param {string[]} attrs.fields - The names of indexed document fields.\n * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.\n */\nlunr.Index = function (attrs) {\n this.invertedIndex = attrs.invertedIndex\n this.fieldVectors = attrs.fieldVectors\n this.tokenSet = attrs.tokenSet\n this.fields = attrs.fields\n this.pipeline = attrs.pipeline\n}\n\n/**\n * A result contains details of a document matching a search query.\n * @typedef {Object} lunr.Index~Result\n * @property {string} ref - The reference of the document this result represents.\n * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.\n * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.\n */\n\n/**\n * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple\n * query language which itself is parsed into an instance of lunr.Query.\n *\n * For programmatically building queries it is advised to directly use lunr.Query, the query language\n * is best used for human entered text rather than program generated text.\n *\n * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported\n * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'\n * or 'world', though those that contain both will rank higher in the results.\n *\n * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can\n * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding\n * wildcards will increase the number of documents that will be found but can also have a negative\n * impact on query performance, especially with wildcards at the beginning of a term.\n *\n * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term\n * hello in the title field will match this query. Using a field not present in the index will lead\n * to an error being thrown.\n *\n * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term\n * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported\n * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.\n * Avoid large values for edit distance to improve query performance.\n *\n * Each term also supports a presence modifier. By default a term's presence in document is optional, however\n * this can be changed to either required or prohibited. For a term's presence to be required in a document the\n * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and\n * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not\n * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.\n *\n * To escape special characters the backslash character '\\' can be used, this allows searches to include\n * characters that would normally be considered modifiers, e.g. `foo\\~2` will search for a term \"foo~2\" instead\n * of attempting to apply a boost of 2 to the search term \"foo\".\n *\n * @typedef {string} lunr.Index~QueryString\n * @example Simple single term query\n * hello\n * @example Multiple term query\n * hello world\n * @example term scoped to a field\n * title:hello\n * @example term with a boost of 10\n * hello^10\n * @example term with an edit distance of 2\n * hello~2\n * @example terms with presence modifiers\n * -foo +bar baz\n */\n\n/**\n * Performs a search against the index using lunr query syntax.\n *\n * Results will be returned sorted by their score, the most relevant results\n * will be returned first. For details on how the score is calculated, please see\n * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.\n *\n * For more programmatic querying use lunr.Index#query.\n *\n * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.\n * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.search = function (queryString) {\n return this.query(function (query) {\n var parser = new lunr.QueryParser(queryString, query)\n parser.parse()\n })\n}\n\n/**\n * A query builder callback provides a query object to be used to express\n * the query to perform on the index.\n *\n * @callback lunr.Index~queryBuilder\n * @param {lunr.Query} query - The query object to build up.\n * @this lunr.Query\n */\n\n/**\n * Performs a query against the index using the yielded lunr.Query object.\n *\n * If performing programmatic queries against the index, this method is preferred\n * over lunr.Index#search so as to avoid the additional query parsing overhead.\n *\n * A query object is yielded to the supplied function which should be used to\n * express the query to be run against the index.\n *\n * Note that although this function takes a callback parameter it is _not_ an\n * asynchronous operation, the callback is just yielded a query object to be\n * customized.\n *\n * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.\n * @returns {lunr.Index~Result[]}\n */\nlunr.Index.prototype.query = function (fn) {\n // for each query clause\n // * process terms\n // * expand terms from token set\n // * find matching documents and metadata\n // * get document vectors\n // * score documents\n\n var query = new lunr.Query(this.fields),\n matchingFields = Object.create(null),\n queryVectors = Object.create(null),\n termFieldCache = Object.create(null),\n requiredMatches = Object.create(null),\n prohibitedMatches = Object.create(null)\n\n /*\n * To support field level boosts a query vector is created per\n * field. An empty vector is eagerly created to support negated\n * queries.\n */\n for (var i = 0; i < this.fields.length; i++) {\n queryVectors[this.fields[i]] = new lunr.Vector\n }\n\n fn.call(query, query)\n\n for (var i = 0; i < query.clauses.length; i++) {\n /*\n * Unless the pipeline has been disabled for this term, which is\n * the case for terms with wildcards, we need to pass the clause\n * term through the search pipeline. A pipeline returns an array\n * of processed terms. Pipeline functions may expand the passed\n * term, which means we may end up performing multiple index lookups\n * for a single query term.\n */\n var clause = query.clauses[i],\n terms = null,\n clauseMatches = lunr.Set.empty\n\n if (clause.usePipeline) {\n terms = this.pipeline.runString(clause.term, {\n fields: clause.fields\n })\n } else {\n terms = [clause.term]\n }\n\n for (var m = 0; m < terms.length; m++) {\n var term = terms[m]\n\n /*\n * Each term returned from the pipeline needs to use the same query\n * clause object, e.g. the same boost and or edit distance. The\n * simplest way to do this is to re-use the clause object but mutate\n * its term property.\n */\n clause.term = term\n\n /*\n * From the term in the clause we create a token set which will then\n * be used to intersect the indexes token set to get a list of terms\n * to lookup in the inverted index\n */\n var termTokenSet = lunr.TokenSet.fromClause(clause),\n expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()\n\n /*\n * If a term marked as required does not exist in the tokenSet it is\n * impossible for the search to return any matches. We set all the field\n * scoped required matches set to empty and stop examining any further\n * clauses.\n */\n if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = lunr.Set.empty\n }\n\n break\n }\n\n for (var j = 0; j < expandedTerms.length; j++) {\n /*\n * For each term get the posting and termIndex, this is required for\n * building the query vector.\n */\n var expandedTerm = expandedTerms[j],\n posting = this.invertedIndex[expandedTerm],\n termIndex = posting._index\n\n for (var k = 0; k < clause.fields.length; k++) {\n /*\n * For each field that this query term is scoped by (by default\n * all fields are in scope) we need to get all the document refs\n * that have this term in that field.\n *\n * The posting is the entry in the invertedIndex for the matching\n * term from above.\n */\n var field = clause.fields[k],\n fieldPosting = posting[field],\n matchingDocumentRefs = Object.keys(fieldPosting),\n termField = expandedTerm + \"/\" + field,\n matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)\n\n /*\n * if the presence of this term is required ensure that the matching\n * documents are added to the set of required matches for this clause.\n *\n */\n if (clause.presence == lunr.Query.presence.REQUIRED) {\n clauseMatches = clauseMatches.union(matchingDocumentsSet)\n\n if (requiredMatches[field] === undefined) {\n requiredMatches[field] = lunr.Set.complete\n }\n }\n\n /*\n * if the presence of this term is prohibited ensure that the matching\n * documents are added to the set of prohibited matches for this field,\n * creating that set if it does not yet exist.\n */\n if (clause.presence == lunr.Query.presence.PROHIBITED) {\n if (prohibitedMatches[field] === undefined) {\n prohibitedMatches[field] = lunr.Set.empty\n }\n\n prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)\n\n /*\n * Prohibited matches should not be part of the query vector used for\n * similarity scoring and no metadata should be extracted so we continue\n * to the next field\n */\n continue\n }\n\n /*\n * The query field vector is populated using the termIndex found for\n * the term and a unit value with the appropriate boost applied.\n * Using upsert because there could already be an entry in the vector\n * for the term we are working with. In that case we just add the scores\n * together.\n */\n queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })\n\n /**\n * If we've already seen this term, field combo then we've already collected\n * the matching documents and metadata, no need to go through all that again\n */\n if (termFieldCache[termField]) {\n continue\n }\n\n for (var l = 0; l < matchingDocumentRefs.length; l++) {\n /*\n * All metadata for this term/field/document triple\n * are then extracted and collected into an instance\n * of lunr.MatchData ready to be returned in the query\n * results\n */\n var matchingDocumentRef = matchingDocumentRefs[l],\n matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),\n metadata = fieldPosting[matchingDocumentRef],\n fieldMatch\n\n if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {\n matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)\n } else {\n fieldMatch.add(expandedTerm, field, metadata)\n }\n\n }\n\n termFieldCache[termField] = true\n }\n }\n }\n\n /**\n * If the presence was required we need to update the requiredMatches field sets.\n * We do this after all fields for the term have collected their matches because\n * the clause terms presence is required in _any_ of the fields not _all_ of the\n * fields.\n */\n if (clause.presence === lunr.Query.presence.REQUIRED) {\n for (var k = 0; k < clause.fields.length; k++) {\n var field = clause.fields[k]\n requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)\n }\n }\n }\n\n /**\n * Need to combine the field scoped required and prohibited\n * matching documents into a global set of required and prohibited\n * matches\n */\n var allRequiredMatches = lunr.Set.complete,\n allProhibitedMatches = lunr.Set.empty\n\n for (var i = 0; i < this.fields.length; i++) {\n var field = this.fields[i]\n\n if (requiredMatches[field]) {\n allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])\n }\n\n if (prohibitedMatches[field]) {\n allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])\n }\n }\n\n var matchingFieldRefs = Object.keys(matchingFields),\n results = [],\n matches = Object.create(null)\n\n /*\n * If the query is negated (contains only prohibited terms)\n * we need to get _all_ fieldRefs currently existing in the\n * index. This is only done when we know that the query is\n * entirely prohibited terms to avoid any cost of getting all\n * fieldRefs unnecessarily.\n *\n * Additionally, blank MatchData must be created to correctly\n * populate the results.\n */\n if (query.isNegated()) {\n matchingFieldRefs = Object.keys(this.fieldVectors)\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n var matchingFieldRef = matchingFieldRefs[i]\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)\n matchingFields[matchingFieldRef] = new lunr.MatchData\n }\n }\n\n for (var i = 0; i < matchingFieldRefs.length; i++) {\n /*\n * Currently we have document fields that match the query, but we\n * need to return documents. The matchData and scores are combined\n * from multiple fields belonging to the same document.\n *\n * Scores are calculated by field, using the query vectors created\n * above, and combined into a final document score using addition.\n */\n var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),\n docRef = fieldRef.docRef\n\n if (!allRequiredMatches.contains(docRef)) {\n continue\n }\n\n if (allProhibitedMatches.contains(docRef)) {\n continue\n }\n\n var fieldVector = this.fieldVectors[fieldRef],\n score = queryVectors[fieldRef.fieldName].similarity(fieldVector),\n docMatch\n\n if ((docMatch = matches[docRef]) !== undefined) {\n docMatch.score += score\n docMatch.matchData.combine(matchingFields[fieldRef])\n } else {\n var match = {\n ref: docRef,\n score: score,\n matchData: matchingFields[fieldRef]\n }\n matches[docRef] = match\n results.push(match)\n }\n }\n\n /*\n * Sort the results objects by score, highest first.\n */\n return results.sort(function (a, b) {\n return b.score - a.score\n })\n}\n\n/**\n * Prepares the index for JSON serialization.\n *\n * The schema for this JSON blob will be described in a\n * separate JSON schema file.\n *\n * @returns {Object}\n */\nlunr.Index.prototype.toJSON = function () {\n var invertedIndex = Object.keys(this.invertedIndex)\n .sort()\n .map(function (term) {\n return [term, this.invertedIndex[term]]\n }, this)\n\n var fieldVectors = Object.keys(this.fieldVectors)\n .map(function (ref) {\n return [ref, this.fieldVectors[ref].toJSON()]\n }, this)\n\n return {\n version: lunr.version,\n fields: this.fields,\n fieldVectors: fieldVectors,\n invertedIndex: invertedIndex,\n pipeline: this.pipeline.toJSON()\n }\n}\n\n/**\n * Loads a previously serialized lunr.Index\n *\n * @param {Object} serializedIndex - A previously serialized lunr.Index\n * @returns {lunr.Index}\n */\nlunr.Index.load = function (serializedIndex) {\n var attrs = {},\n fieldVectors = {},\n serializedVectors = serializedIndex.fieldVectors,\n invertedIndex = Object.create(null),\n serializedInvertedIndex = serializedIndex.invertedIndex,\n tokenSetBuilder = new lunr.TokenSet.Builder,\n pipeline = lunr.Pipeline.load(serializedIndex.pipeline)\n\n if (serializedIndex.version != lunr.version) {\n lunr.utils.warn(\"Version mismatch when loading serialised index. Current version of lunr '\" + lunr.version + \"' does not match serialized index '\" + serializedIndex.version + \"'\")\n }\n\n for (var i = 0; i < serializedVectors.length; i++) {\n var tuple = serializedVectors[i],\n ref = tuple[0],\n elements = tuple[1]\n\n fieldVectors[ref] = new lunr.Vector(elements)\n }\n\n for (var i = 0; i < serializedInvertedIndex.length; i++) {\n var tuple = serializedInvertedIndex[i],\n term = tuple[0],\n posting = tuple[1]\n\n tokenSetBuilder.insert(term)\n invertedIndex[term] = posting\n }\n\n tokenSetBuilder.finish()\n\n attrs.fields = serializedIndex.fields\n\n attrs.fieldVectors = fieldVectors\n attrs.invertedIndex = invertedIndex\n attrs.tokenSet = tokenSetBuilder.root\n attrs.pipeline = pipeline\n\n return new lunr.Index(attrs)\n}\n/*!\n * lunr.Builder\n * Copyright (C) 2020 Oliver Nightingale\n */\n\n/**\n * lunr.Builder performs indexing on a set of documents and\n * returns instances of lunr.Index ready for querying.\n *\n * All configuration of the index is done via the builder, the\n * fields to index, the document reference, the text processing\n * pipeline and document scoring parameters are all set on the\n * builder before indexing.\n *\n * @constructor\n * @property {string} _ref - Internal reference to the document reference field.\n * @property {string[]} _fields - Internal reference to the document fields to index.\n * @property {object} invertedIndex - The inverted index maps terms to document fields.\n * @property {object} documentTermFrequencies - Keeps track of document term frequencies.\n * @property {object} documentLengths - Keeps track of the length of documents added to the index.\n * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.\n * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.\n * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.\n * @property {number} documentCount - Keeps track of the total number of documents indexed.\n * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.\n * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.\n * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.\n * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.\n */\nlunr.Builder = function () {\n this._ref = \"id\"\n this._fields = Object.create(null)\n this._documents = Object.create(null)\n this.invertedIndex = Object.create(null)\n this.fieldTermFrequencies = {}\n this.fieldLengths = {}\n this.tokenizer = lunr.tokenizer\n this.pipeline = new lunr.Pipeline\n this.searchPipeline = new lunr.Pipeline\n this.documentCount = 0\n this._b = 0.75\n this._k1 = 1.2\n this.termIndex = 0\n this.metadataWhitelist = []\n}\n\n/**\n * Sets the document field used as the document reference. Every document must have this field.\n * The type of this field in the document should be a string, if it is not a string it will be\n * coerced into a string by calling toString.\n *\n * The default ref is 'id'.\n *\n * The ref should _not_ be changed during indexing, it should be set before any documents are\n * added to the index. Changing it during indexing can lead to inconsistent results.\n *\n * @param {string} ref - The name of the reference field in the document.\n */\nlunr.Builder.prototype.ref = function (ref) {\n this._ref = ref\n}\n\n/**\n * A function that is used to extract a field from a document.\n *\n * Lunr expects a field to be at the top level of a document, if however the field\n * is deeply nested within a document an extractor function can be used to extract\n * the right field for indexing.\n *\n * @callback fieldExtractor\n * @param {object} doc - The document being added to the index.\n * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.\n * @example Extracting a nested field\n * function (doc) { return doc.nested.field }\n */\n\n/**\n * Adds a field to the list of document fields that will be indexed. Every document being\n * indexed should have this field. Null values for this field in indexed documents will\n * not cause errors but will limit the chance of that document being retrieved by searches.\n *\n * All fields should be added before adding documents to the index. Adding fields after\n * a document has been indexed will have no effect on already indexed documents.\n *\n * Fields can be boosted at build time. This allows terms within that field to have more\n * importance when ranking search results. Use a field boost to specify that matches within\n * one field are more important than other fields.\n *\n * @param {string} fieldName - The name of a field to index in all documents.\n * @param {object} attributes - Optional attributes associated with this field.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.\n * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.\n * @throws {RangeError} fieldName cannot contain unsupported characters '/'\n */\nlunr.Builder.prototype.field = function (fieldName, attributes) {\n if (/\\//.test(fieldName)) {\n throw new RangeError (\"Field '\" + fieldName + \"' contains illegal character '/'\")\n }\n\n this._fields[fieldName] = attributes || {}\n}\n\n/**\n * A parameter to tune the amount of field length normalisation that is applied when\n * calculating relevance scores. A value of 0 will completely disable any normalisation\n * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b\n * will be clamped to the range 0 - 1.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.b = function (number) {\n if (number < 0) {\n this._b = 0\n } else if (number > 1) {\n this._b = 1\n } else {\n this._b = number\n }\n}\n\n/**\n * A parameter that controls the speed at which a rise in term frequency results in term\n * frequency saturation. The default value is 1.2. Setting this to a higher value will give\n * slower saturation levels, a lower value will result in quicker saturation.\n *\n * @param {number} number - The value to set for this tuning parameter.\n */\nlunr.Builder.prototype.k1 = function (number) {\n this._k1 = number\n}\n\n/**\n * Adds a document to the index.\n *\n * Before adding fields to the index the index should have been fully setup, with the document\n * ref and all fields to index already having been specified.\n *\n * The document must have a field name as specified by the ref (by default this is 'id') and\n * it should have all fields defined for indexing, though null or undefined values will not\n * cause errors.\n *\n * Entire documents can be boosted at build time. Applying a boost to a document indicates that\n * this document should rank higher in search results than other documents.\n *\n * @param {object} doc - The document to add to the index.\n * @param {object} attributes - Optional attributes associated with this document.\n * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.\n */\nlunr.Builder.prototype.add = function (doc, attributes) {\n var docRef = doc[this._ref],\n fields = Object.keys(this._fields)\n\n this._documents[docRef] = attributes || {}\n this.documentCount += 1\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i],\n extractor = this._fields[fieldName].extractor,\n field = extractor ? extractor(doc) : doc[fieldName],\n tokens = this.tokenizer(field, {\n fields: [fieldName]\n }),\n terms = this.pipeline.run(tokens),\n fieldRef = new lunr.FieldRef (docRef, fieldName),\n fieldTerms = Object.create(null)\n\n this.fieldTermFrequencies[fieldRef] = fieldTerms\n this.fieldLengths[fieldRef] = 0\n\n // store the length of this field for this document\n this.fieldLengths[fieldRef] += terms.length\n\n // calculate term frequencies for this field\n for (var j = 0; j < terms.length; j++) {\n var term = terms[j]\n\n if (fieldTerms[term] == undefined) {\n fieldTerms[term] = 0\n }\n\n fieldTerms[term] += 1\n\n // add to inverted index\n // create an initial posting if one doesn't exist\n if (this.invertedIndex[term] == undefined) {\n var posting = Object.create(null)\n posting[\"_index\"] = this.termIndex\n this.termIndex += 1\n\n for (var k = 0; k < fields.length; k++) {\n posting[fields[k]] = Object.create(null)\n }\n\n this.invertedIndex[term] = posting\n }\n\n // add an entry for this term/fieldName/docRef to the invertedIndex\n if (this.invertedIndex[term][fieldName][docRef] == undefined) {\n this.invertedIndex[term][fieldName][docRef] = Object.create(null)\n }\n\n // store all whitelisted metadata about this token in the\n // inverted index\n for (var l = 0; l < this.metadataWhitelist.length; l++) {\n var metadataKey = this.metadataWhitelist[l],\n metadata = term.metadata[metadataKey]\n\n if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {\n this.invertedIndex[term][fieldName][docRef][metadataKey] = []\n }\n\n this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)\n }\n }\n\n }\n}\n\n/**\n * Calculates the average document length for this index\n *\n * @private\n */\nlunr.Builder.prototype.calculateAverageFieldLengths = function () {\n\n var fieldRefs = Object.keys(this.fieldLengths),\n numberOfFields = fieldRefs.length,\n accumulator = {},\n documentsWithField = {}\n\n for (var i = 0; i < numberOfFields; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n field = fieldRef.fieldName\n\n documentsWithField[field] || (documentsWithField[field] = 0)\n documentsWithField[field] += 1\n\n accumulator[field] || (accumulator[field] = 0)\n accumulator[field] += this.fieldLengths[fieldRef]\n }\n\n var fields = Object.keys(this._fields)\n\n for (var i = 0; i < fields.length; i++) {\n var fieldName = fields[i]\n accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]\n }\n\n this.averageFieldLength = accumulator\n}\n\n/**\n * Builds a vector space model of every document using lunr.Vector\n *\n * @private\n */\nlunr.Builder.prototype.createFieldVectors = function () {\n var fieldVectors = {},\n fieldRefs = Object.keys(this.fieldTermFrequencies),\n fieldRefsLength = fieldRefs.length,\n termIdfCache = Object.create(null)\n\n for (var i = 0; i < fieldRefsLength; i++) {\n var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),\n fieldName = fieldRef.fieldName,\n fieldLength = this.fieldLengths[fieldRef],\n fieldVector = new lunr.Vector,\n termFrequencies = this.fieldTermFrequencies[fieldRef],\n terms = Object.keys(termFrequencies),\n termsLength = terms.length\n\n\n var fieldBoost = this._fields[fieldName].boost || 1,\n docBoost = this._documents[fieldRef.docRef].boost || 1\n\n for (var j = 0; j < termsLength; j++) {\n var term = terms[j],\n tf = termFrequencies[term],\n termIndex = this.invertedIndex[term]._index,\n idf, score, scoreWithPrecision\n\n if (termIdfCache[term] === undefined) {\n idf = lunr.idf(this.invertedIndex[term], this.documentCount)\n termIdfCache[term] = idf\n } else {\n idf = termIdfCache[term]\n }\n\n score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)\n score *= fieldBoost\n score *= docBoost\n scoreWithPrecision = Math.round(score * 1000) / 1000\n // Converts 1.23456789 to 1.234.\n // Reducing the precision so that the vectors take up less\n // space when serialised. Doing it now so that they behave\n // the same before and after serialisation. Also, this is\n // the fastest approach to reducing a number's precision in\n // JavaScript.\n\n fieldVector.insert(termIndex, scoreWithPrecision)\n }\n\n fieldVectors[fieldRef] = fieldVector\n }\n\n this.fieldVectors = fieldVectors\n}\n\n/**\n * Creates a token set of all tokens in the index using lunr.TokenSet\n *\n * @private\n */\nlunr.Builder.prototype.createTokenSet = function () {\n this.tokenSet = lunr.TokenSet.fromArray(\n Object.keys(this.invertedIndex).sort()\n )\n}\n\n/**\n * Builds the index, creating an instance of lunr.Index.\n *\n * This completes the indexing process and should only be called\n * once all documents have been added to the index.\n *\n * @returns {lunr.Index}\n */\nlunr.Builder.prototype.build = function () {\n this.calculateAverageFieldLengths()\n this.createFieldVectors()\n this.createTokenSet()\n\n return new lunr.Index({\n invertedIndex: this.invertedIndex,\n fieldVectors: this.fieldVectors,\n tokenSet: this.tokenSet,\n fields: Object.keys(this._fields),\n pipeline: this.searchPipeline\n })\n}\n\n/**\n * Applies a plugin to the index builder.\n *\n * A plugin is a function that is called with the index builder as its context.\n * Plugins can be used to customise or extend the behaviour of the index\n * in some way. A plugin is just a function, that encapsulated the custom\n * behaviour that should be applied when building the index.\n *\n * The plugin function will be called with the index builder as its argument, additional\n * arguments can also be passed when calling use. The function will be called\n * with the index builder as its context.\n *\n * @param {Function} plugin The plugin to apply.\n */\nlunr.Builder.prototype.use = function (fn) {\n var args = Array.prototype.slice.call(arguments, 1)\n args.unshift(this)\n fn.apply(this, args)\n}\n/**\n * Contains and collects metadata about a matching document.\n * A single instance of lunr.MatchData is returned as part of every\n * lunr.Index~Result.\n *\n * @constructor\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n * @property {object} metadata - A cloned collection of metadata associated with this document.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData = function (term, field, metadata) {\n var clonedMetadata = Object.create(null),\n metadataKeys = Object.keys(metadata || {})\n\n // Cloning the metadata to prevent the original\n // being mutated during match data combination.\n // Metadata is kept in an array within the inverted\n // index so cloning the data can be done with\n // Array#slice\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n clonedMetadata[key] = metadata[key].slice()\n }\n\n this.metadata = Object.create(null)\n\n if (term !== undefined) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = clonedMetadata\n }\n}\n\n/**\n * An instance of lunr.MatchData will be created for every term that matches a\n * document. However only one instance is required in a lunr.Index~Result. This\n * method combines metadata from another instance of lunr.MatchData with this\n * objects metadata.\n *\n * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.\n * @see {@link lunr.Index~Result}\n */\nlunr.MatchData.prototype.combine = function (otherMatchData) {\n var terms = Object.keys(otherMatchData.metadata)\n\n for (var i = 0; i < terms.length; i++) {\n var term = terms[i],\n fields = Object.keys(otherMatchData.metadata[term])\n\n if (this.metadata[term] == undefined) {\n this.metadata[term] = Object.create(null)\n }\n\n for (var j = 0; j < fields.length; j++) {\n var field = fields[j],\n keys = Object.keys(otherMatchData.metadata[term][field])\n\n if (this.metadata[term][field] == undefined) {\n this.metadata[term][field] = Object.create(null)\n }\n\n for (var k = 0; k < keys.length; k++) {\n var key = keys[k]\n\n if (this.metadata[term][field][key] == undefined) {\n this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]\n } else {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])\n }\n\n }\n }\n }\n}\n\n/**\n * Add metadata for a term/field pair to this instance of match data.\n *\n * @param {string} term - The term this match data is associated with\n * @param {string} field - The field in which the term was found\n * @param {object} metadata - The metadata recorded about this term in this field\n */\nlunr.MatchData.prototype.add = function (term, field, metadata) {\n if (!(term in this.metadata)) {\n this.metadata[term] = Object.create(null)\n this.metadata[term][field] = metadata\n return\n }\n\n if (!(field in this.metadata[term])) {\n this.metadata[term][field] = metadata\n return\n }\n\n var metadataKeys = Object.keys(metadata)\n\n for (var i = 0; i < metadataKeys.length; i++) {\n var key = metadataKeys[i]\n\n if (key in this.metadata[term][field]) {\n this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])\n } else {\n this.metadata[term][field][key] = metadata[key]\n }\n }\n}\n/**\n * A lunr.Query provides a programmatic way of defining queries to be performed\n * against a {@link lunr.Index}.\n *\n * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method\n * so the query object is pre-initialized with the right index fields.\n *\n * @constructor\n * @property {lunr.Query~Clause[]} clauses - An array of query clauses.\n * @property {string[]} allFields - An array of all available fields in a lunr.Index.\n */\nlunr.Query = function (allFields) {\n this.clauses = []\n this.allFields = allFields\n}\n\n/**\n * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.\n *\n * This allows wildcards to be added to the beginning and end of a term without having to manually do any string\n * concatenation.\n *\n * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.\n *\n * @constant\n * @default\n * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour\n * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists\n * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with trailing wildcard\n * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })\n * @example query term with leading and trailing wildcard\n * query.term('foo', {\n * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING\n * })\n */\n\nlunr.Query.wildcard = new String (\"*\")\nlunr.Query.wildcard.NONE = 0\nlunr.Query.wildcard.LEADING = 1\nlunr.Query.wildcard.TRAILING = 2\n\n/**\n * Constants for indicating what kind of presence a term must have in matching documents.\n *\n * @constant\n * @enum {number}\n * @see lunr.Query~Clause\n * @see lunr.Query#clause\n * @see lunr.Query#term\n * @example query term with required presence\n * query.term('foo', { presence: lunr.Query.presence.REQUIRED })\n */\nlunr.Query.presence = {\n /**\n * Term's presence in a document is optional, this is the default value.\n */\n OPTIONAL: 1,\n\n /**\n * Term's presence in a document is required, documents that do not contain\n * this term will not be returned.\n */\n REQUIRED: 2,\n\n /**\n * Term's presence in a document is prohibited, documents that do contain\n * this term will not be returned.\n */\n PROHIBITED: 3\n}\n\n/**\n * A single clause in a {@link lunr.Query} contains a term and details on how to\n * match that term against a {@link lunr.Index}.\n *\n * @typedef {Object} lunr.Query~Clause\n * @property {string[]} fields - The fields in an index this clause should be matched against.\n * @property {number} [boost=1] - Any boost that should be applied when matching this clause.\n * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.\n * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.\n * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.\n * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.\n */\n\n/**\n * Adds a {@link lunr.Query~Clause} to this query.\n *\n * Unless the clause contains the fields to be matched all fields will be matched. In addition\n * a default boost of 1 is applied to the clause.\n *\n * @param {lunr.Query~Clause} clause - The clause to add to this query.\n * @see lunr.Query~Clause\n * @returns {lunr.Query}\n */\nlunr.Query.prototype.clause = function (clause) {\n if (!('fields' in clause)) {\n clause.fields = this.allFields\n }\n\n if (!('boost' in clause)) {\n clause.boost = 1\n }\n\n if (!('usePipeline' in clause)) {\n clause.usePipeline = true\n }\n\n if (!('wildcard' in clause)) {\n clause.wildcard = lunr.Query.wildcard.NONE\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {\n clause.term = \"*\" + clause.term\n }\n\n if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {\n clause.term = \"\" + clause.term + \"*\"\n }\n\n if (!('presence' in clause)) {\n clause.presence = lunr.Query.presence.OPTIONAL\n }\n\n this.clauses.push(clause)\n\n return this\n}\n\n/**\n * A negated query is one in which every clause has a presence of\n * prohibited. These queries require some special processing to return\n * the expected results.\n *\n * @returns boolean\n */\nlunr.Query.prototype.isNegated = function () {\n for (var i = 0; i < this.clauses.length; i++) {\n if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {\n return false\n }\n }\n\n return true\n}\n\n/**\n * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}\n * to the list of clauses that make up this query.\n *\n * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion\n * to a token or token-like string should be done before calling this method.\n *\n * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an\n * array, each term in the array will share the same options.\n *\n * @param {object|object[]} term - The term(s) to add to the query.\n * @param {object} [options] - Any additional properties to add to the query clause.\n * @returns {lunr.Query}\n * @see lunr.Query#clause\n * @see lunr.Query~Clause\n * @example adding a single term to a query\n * query.term(\"foo\")\n * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard\n * query.term(\"foo\", {\n * fields: [\"title\"],\n * boost: 10,\n * wildcard: lunr.Query.wildcard.TRAILING\n * })\n * @example using lunr.tokenizer to convert a string to tokens before using them as terms\n * query.term(lunr.tokenizer(\"foo bar\"))\n */\nlunr.Query.prototype.term = function (term, options) {\n if (Array.isArray(term)) {\n term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)\n return this\n }\n\n var clause = options || {}\n clause.term = term.toString()\n\n this.clause(clause)\n\n return this\n}\nlunr.QueryParseError = function (message, start, end) {\n this.name = \"QueryParseError\"\n this.message = message\n this.start = start\n this.end = end\n}\n\nlunr.QueryParseError.prototype = new Error\nlunr.QueryLexer = function (str) {\n this.lexemes = []\n this.str = str\n this.length = str.length\n this.pos = 0\n this.start = 0\n this.escapeCharPositions = []\n}\n\nlunr.QueryLexer.prototype.run = function () {\n var state = lunr.QueryLexer.lexText\n\n while (state) {\n state = state(this)\n }\n}\n\nlunr.QueryLexer.prototype.sliceString = function () {\n var subSlices = [],\n sliceStart = this.start,\n sliceEnd = this.pos\n\n for (var i = 0; i < this.escapeCharPositions.length; i++) {\n sliceEnd = this.escapeCharPositions[i]\n subSlices.push(this.str.slice(sliceStart, sliceEnd))\n sliceStart = sliceEnd + 1\n }\n\n subSlices.push(this.str.slice(sliceStart, this.pos))\n this.escapeCharPositions.length = 0\n\n return subSlices.join('')\n}\n\nlunr.QueryLexer.prototype.emit = function (type) {\n this.lexemes.push({\n type: type,\n str: this.sliceString(),\n start: this.start,\n end: this.pos\n })\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.escapeCharacter = function () {\n this.escapeCharPositions.push(this.pos - 1)\n this.pos += 1\n}\n\nlunr.QueryLexer.prototype.next = function () {\n if (this.pos >= this.length) {\n return lunr.QueryLexer.EOS\n }\n\n var char = this.str.charAt(this.pos)\n this.pos += 1\n return char\n}\n\nlunr.QueryLexer.prototype.width = function () {\n return this.pos - this.start\n}\n\nlunr.QueryLexer.prototype.ignore = function () {\n if (this.start == this.pos) {\n this.pos += 1\n }\n\n this.start = this.pos\n}\n\nlunr.QueryLexer.prototype.backup = function () {\n this.pos -= 1\n}\n\nlunr.QueryLexer.prototype.acceptDigitRun = function () {\n var char, charCode\n\n do {\n char = this.next()\n charCode = char.charCodeAt(0)\n } while (charCode > 47 && charCode < 58)\n\n if (char != lunr.QueryLexer.EOS) {\n this.backup()\n }\n}\n\nlunr.QueryLexer.prototype.more = function () {\n return this.pos < this.length\n}\n\nlunr.QueryLexer.EOS = 'EOS'\nlunr.QueryLexer.FIELD = 'FIELD'\nlunr.QueryLexer.TERM = 'TERM'\nlunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'\nlunr.QueryLexer.BOOST = 'BOOST'\nlunr.QueryLexer.PRESENCE = 'PRESENCE'\n\nlunr.QueryLexer.lexField = function (lexer) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.FIELD)\n lexer.ignore()\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexTerm = function (lexer) {\n if (lexer.width() > 1) {\n lexer.backup()\n lexer.emit(lunr.QueryLexer.TERM)\n }\n\n lexer.ignore()\n\n if (lexer.more()) {\n return lunr.QueryLexer.lexText\n }\n}\n\nlunr.QueryLexer.lexEditDistance = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexBoost = function (lexer) {\n lexer.ignore()\n lexer.acceptDigitRun()\n lexer.emit(lunr.QueryLexer.BOOST)\n return lunr.QueryLexer.lexText\n}\n\nlunr.QueryLexer.lexEOS = function (lexer) {\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n}\n\n// This matches the separator used when tokenising fields\n// within a document. These should match otherwise it is\n// not possible to search for some tokens within a document.\n//\n// It is possible for the user to change the separator on the\n// tokenizer so it _might_ clash with any other of the special\n// characters already used within the search string, e.g. :.\n//\n// This means that it is possible to change the separator in\n// such a way that makes some words unsearchable using a search\n// string.\nlunr.QueryLexer.termSeparator = lunr.tokenizer.separator\n\nlunr.QueryLexer.lexText = function (lexer) {\n while (true) {\n var char = lexer.next()\n\n if (char == lunr.QueryLexer.EOS) {\n return lunr.QueryLexer.lexEOS\n }\n\n // Escape character is '\\'\n if (char.charCodeAt(0) == 92) {\n lexer.escapeCharacter()\n continue\n }\n\n if (char == \":\") {\n return lunr.QueryLexer.lexField\n }\n\n if (char == \"~\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexEditDistance\n }\n\n if (char == \"^\") {\n lexer.backup()\n if (lexer.width() > 0) {\n lexer.emit(lunr.QueryLexer.TERM)\n }\n return lunr.QueryLexer.lexBoost\n }\n\n // \"+\" indicates term presence is required\n // checking for length to ensure that only\n // leading \"+\" are considered\n if (char == \"+\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n // \"-\" indicates term presence is prohibited\n // checking for length to ensure that only\n // leading \"-\" are considered\n if (char == \"-\" && lexer.width() === 1) {\n lexer.emit(lunr.QueryLexer.PRESENCE)\n return lunr.QueryLexer.lexText\n }\n\n if (char.match(lunr.QueryLexer.termSeparator)) {\n return lunr.QueryLexer.lexTerm\n }\n }\n}\n\nlunr.QueryParser = function (str, query) {\n this.lexer = new lunr.QueryLexer (str)\n this.query = query\n this.currentClause = {}\n this.lexemeIdx = 0\n}\n\nlunr.QueryParser.prototype.parse = function () {\n this.lexer.run()\n this.lexemes = this.lexer.lexemes\n\n var state = lunr.QueryParser.parseClause\n\n while (state) {\n state = state(this)\n }\n\n return this.query\n}\n\nlunr.QueryParser.prototype.peekLexeme = function () {\n return this.lexemes[this.lexemeIdx]\n}\n\nlunr.QueryParser.prototype.consumeLexeme = function () {\n var lexeme = this.peekLexeme()\n this.lexemeIdx += 1\n return lexeme\n}\n\nlunr.QueryParser.prototype.nextClause = function () {\n var completedClause = this.currentClause\n this.query.clause(completedClause)\n this.currentClause = {}\n}\n\nlunr.QueryParser.parseClause = function (parser) {\n var lexeme = parser.peekLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.type) {\n case lunr.QueryLexer.PRESENCE:\n return lunr.QueryParser.parsePresence\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expected either a field or a term, found \" + lexeme.type\n\n if (lexeme.str.length >= 1) {\n errorMessage += \" with value '\" + lexeme.str + \"'\"\n }\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n}\n\nlunr.QueryParser.parsePresence = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n switch (lexeme.str) {\n case \"-\":\n parser.currentClause.presence = lunr.Query.presence.PROHIBITED\n break\n case \"+\":\n parser.currentClause.presence = lunr.Query.presence.REQUIRED\n break\n default:\n var errorMessage = \"unrecognised presence operator'\" + lexeme.str + \"'\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term or field, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.FIELD:\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term or field, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseField = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n if (parser.query.allFields.indexOf(lexeme.str) == -1) {\n var possibleFields = parser.query.allFields.map(function (f) { return \"'\" + f + \"'\" }).join(', '),\n errorMessage = \"unrecognised field '\" + lexeme.str + \"', possible fields: \" + possibleFields\n\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.fields = [lexeme.str]\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n var errorMessage = \"expecting term, found nothing\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n return lunr.QueryParser.parseTerm\n default:\n var errorMessage = \"expecting term, found '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseTerm = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n parser.currentClause.term = lexeme.str.toLowerCase()\n\n if (lexeme.str.indexOf(\"*\") != -1) {\n parser.currentClause.usePipeline = false\n }\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseEditDistance = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var editDistance = parseInt(lexeme.str, 10)\n\n if (isNaN(editDistance)) {\n var errorMessage = \"edit distance must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.editDistance = editDistance\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\nlunr.QueryParser.parseBoost = function (parser) {\n var lexeme = parser.consumeLexeme()\n\n if (lexeme == undefined) {\n return\n }\n\n var boost = parseInt(lexeme.str, 10)\n\n if (isNaN(boost)) {\n var errorMessage = \"boost must be numeric\"\n throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)\n }\n\n parser.currentClause.boost = boost\n\n var nextLexeme = parser.peekLexeme()\n\n if (nextLexeme == undefined) {\n parser.nextClause()\n return\n }\n\n switch (nextLexeme.type) {\n case lunr.QueryLexer.TERM:\n parser.nextClause()\n return lunr.QueryParser.parseTerm\n case lunr.QueryLexer.FIELD:\n parser.nextClause()\n return lunr.QueryParser.parseField\n case lunr.QueryLexer.EDIT_DISTANCE:\n return lunr.QueryParser.parseEditDistance\n case lunr.QueryLexer.BOOST:\n return lunr.QueryParser.parseBoost\n case lunr.QueryLexer.PRESENCE:\n parser.nextClause()\n return lunr.QueryParser.parsePresence\n default:\n var errorMessage = \"Unexpected lexeme type '\" + nextLexeme.type + \"'\"\n throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)\n }\n}\n\n /**\n * export the module via AMD, CommonJS or as a browser global\n * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js\n */\n ;(function (root, factory) {\n if (true) {\n // AMD. Register as an anonymous module.\n !(__WEBPACK_AMD_DEFINE_FACTORY__ = (factory),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ = (typeof __WEBPACK_AMD_DEFINE_FACTORY__ === 'function' ?\n\t\t(__WEBPACK_AMD_DEFINE_FACTORY__.call(exports, __webpack_require__, exports, module)) :\n\t\t__WEBPACK_AMD_DEFINE_FACTORY__),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__))\n } else {}\n }(this, function () {\n /**\n * Just return a value to define the module export.\n * This example returns an object, but the module\n * can return a function as the exported value.\n */\n return lunr\n }))\n})();\n\n\n//# sourceURL=webpack:///../node_modules/lunr/lunr.js?"); - -/***/ }), - -/***/ "./default/assets/css/main.sass": -/*!**************************************!*\ - !*** ./default/assets/css/main.sass ***! - \**************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n// extracted by mini-css-extract-plugin\n\n\n//# sourceURL=webpack:///./default/assets/css/main.sass?"); - -/***/ }), - -/***/ "./default/assets/js/src/bootstrap.ts": -/*!********************************************!*\ - !*** ./default/assets/js/src/bootstrap.ts ***! - \********************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var _typedoc_Application__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ./typedoc/Application */ \"./default/assets/js/src/typedoc/Application.ts\");\n/* harmony import */ var _typedoc_components_MenuHighlight__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./typedoc/components/MenuHighlight */ \"./default/assets/js/src/typedoc/components/MenuHighlight.ts\");\n/* harmony import */ var _typedoc_components_Search__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ./typedoc/components/Search */ \"./default/assets/js/src/typedoc/components/Search.ts\");\n/* harmony import */ var _typedoc_components_Signature__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! ./typedoc/components/Signature */ \"./default/assets/js/src/typedoc/components/Signature.ts\");\n/* harmony import */ var _typedoc_components_Toggle__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./typedoc/components/Toggle */ \"./default/assets/js/src/typedoc/components/Toggle.ts\");\n/* harmony import */ var _typedoc_components_Filter__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./typedoc/components/Filter */ \"./default/assets/js/src/typedoc/components/Filter.ts\");\n/* harmony import */ var _css_main_sass__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(/*! ../../css/main.sass */ \"./default/assets/css/main.sass\");\n\n\n\n\n\n\n\n(0,_typedoc_components_Search__WEBPACK_IMPORTED_MODULE_2__.initSearch)();\n(0,_typedoc_Application__WEBPACK_IMPORTED_MODULE_0__.registerComponent)(_typedoc_components_MenuHighlight__WEBPACK_IMPORTED_MODULE_1__.MenuHighlight, \".menu-highlight\");\n(0,_typedoc_Application__WEBPACK_IMPORTED_MODULE_0__.registerComponent)(_typedoc_components_Signature__WEBPACK_IMPORTED_MODULE_3__.Signature, \".tsd-signatures\");\n(0,_typedoc_Application__WEBPACK_IMPORTED_MODULE_0__.registerComponent)(_typedoc_components_Toggle__WEBPACK_IMPORTED_MODULE_4__.Toggle, \"a[data-toggle]\");\nif (_typedoc_components_Filter__WEBPACK_IMPORTED_MODULE_5__.Filter.isSupported()) {\n (0,_typedoc_Application__WEBPACK_IMPORTED_MODULE_0__.registerComponent)(_typedoc_components_Filter__WEBPACK_IMPORTED_MODULE_5__.Filter, \"#tsd-filter\");\n}\nelse {\n document.documentElement.classList.add(\"no-filter\");\n}\nvar app = new _typedoc_Application__WEBPACK_IMPORTED_MODULE_0__.Application();\nObject.defineProperty(window, \"app\", { value: app });\n\n\n//# sourceURL=webpack:///./default/assets/js/src/bootstrap.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/Application.ts": -/*!******************************************************!*\ - !*** ./default/assets/js/src/typedoc/Application.ts ***! - \******************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"registerComponent\": () => /* binding */ registerComponent,\n/* harmony export */ \"Application\": () => /* binding */ Application\n/* harmony export */ });\n/**\n * List of all known components.\n */\nvar components = [];\n/**\n * Register a new component.\n */\nfunction registerComponent(constructor, selector) {\n components.push({\n selector: selector,\n constructor: constructor,\n });\n}\n/**\n * TypeDoc application class.\n */\nvar Application = /** @class */ (function () {\n /**\n * Create a new Application instance.\n */\n function Application() {\n this.createComponents(document.body);\n }\n /**\n * Create all components beneath the given jQuery element.\n */\n Application.prototype.createComponents = function (context) {\n components.forEach(function (c) {\n context.querySelectorAll(c.selector).forEach(function (el) {\n if (!el.dataset.hasInstance) {\n new c.constructor({ el: el });\n el.dataset.hasInstance = String(true);\n }\n });\n });\n };\n return Application;\n}());\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/Application.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/Component.ts": -/*!****************************************************!*\ - !*** ./default/assets/js/src/typedoc/Component.ts ***! - \****************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"Component\": () => /* binding */ Component\n/* harmony export */ });\n/**\n * TypeDoc component class.\n */\nvar Component = /** @class */ (function () {\n function Component(options) {\n this.el = options.el;\n }\n return Component;\n}());\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/Component.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/EventTarget.ts": -/*!******************************************************!*\ - !*** ./default/assets/js/src/typedoc/EventTarget.ts ***! - \******************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"EventTarget\": () => /* binding */ EventTarget\n/* harmony export */ });\n/**\n * TypeDoc event target class.\n */\nvar EventTarget = /** @class */ (function () {\n function EventTarget() {\n this.listeners = {};\n }\n EventTarget.prototype.addEventListener = function (type, callback) {\n if (!(type in this.listeners)) {\n this.listeners[type] = [];\n }\n this.listeners[type].push(callback);\n };\n EventTarget.prototype.removeEventListener = function (type, callback) {\n if (!(type in this.listeners)) {\n return;\n }\n var stack = this.listeners[type];\n for (var i = 0, l = stack.length; i < l; i++) {\n if (stack[i] === callback) {\n stack.splice(i, 1);\n return;\n }\n }\n };\n EventTarget.prototype.dispatchEvent = function (event) {\n if (!(event.type in this.listeners)) {\n return true;\n }\n var stack = this.listeners[event.type].slice();\n for (var i = 0, l = stack.length; i < l; i++) {\n stack[i].call(this, event);\n }\n return !event.defaultPrevented;\n };\n return EventTarget;\n}());\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/EventTarget.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/components/Filter.ts": -/*!************************************************************!*\ - !*** ./default/assets/js/src/typedoc/components/Filter.ts ***! - \************************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"Filter\": () => /* binding */ Filter\n/* harmony export */ });\n/* harmony import */ var _Component__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../Component */ \"./default/assets/js/src/typedoc/Component.ts\");\n/* harmony import */ var _utils_pointer__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../utils/pointer */ \"./default/assets/js/src/typedoc/utils/pointer.ts\");\nvar __extends = (undefined && undefined.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\n\n\nvar FilterItem = /** @class */ (function () {\n function FilterItem(key, value) {\n this.key = key;\n this.value = value;\n this.defaultValue = value;\n this.initialize();\n if (window.localStorage[this.key]) {\n this.setValue(this.fromLocalStorage(window.localStorage[this.key]));\n }\n }\n FilterItem.prototype.initialize = function () { };\n FilterItem.prototype.setValue = function (value) {\n if (this.value == value)\n return;\n var oldValue = this.value;\n this.value = value;\n window.localStorage[this.key] = this.toLocalStorage(value);\n this.handleValueChange(oldValue, value);\n };\n return FilterItem;\n}());\nvar FilterItemCheckbox = /** @class */ (function (_super) {\n __extends(FilterItemCheckbox, _super);\n function FilterItemCheckbox() {\n return _super !== null && _super.apply(this, arguments) || this;\n }\n FilterItemCheckbox.prototype.initialize = function () {\n var _this = this;\n var checkbox = document.querySelector(\"#tsd-filter-\" + this.key);\n if (!checkbox)\n return;\n this.checkbox = checkbox;\n this.checkbox.addEventListener(\"change\", function () {\n _this.setValue(_this.checkbox.checked);\n });\n };\n FilterItemCheckbox.prototype.handleValueChange = function (oldValue, newValue) {\n if (!this.checkbox)\n return;\n this.checkbox.checked = this.value;\n document.documentElement.classList.toggle(\"toggle-\" + this.key, this.value != this.defaultValue);\n };\n FilterItemCheckbox.prototype.fromLocalStorage = function (value) {\n return value == \"true\";\n };\n FilterItemCheckbox.prototype.toLocalStorage = function (value) {\n return value ? \"true\" : \"false\";\n };\n return FilterItemCheckbox;\n}(FilterItem));\nvar FilterItemSelect = /** @class */ (function (_super) {\n __extends(FilterItemSelect, _super);\n function FilterItemSelect() {\n return _super !== null && _super.apply(this, arguments) || this;\n }\n FilterItemSelect.prototype.initialize = function () {\n var _this = this;\n document.documentElement.classList.add(\"toggle-\" + this.key + this.value);\n var select = document.querySelector(\"#tsd-filter-\" + this.key);\n if (!select)\n return;\n this.select = select;\n var onActivate = function () {\n _this.select.classList.add(\"active\");\n };\n var onDeactivate = function () {\n _this.select.classList.remove(\"active\");\n };\n this.select.addEventListener(_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.pointerDown, onActivate);\n this.select.addEventListener(\"mouseover\", onActivate);\n this.select.addEventListener(\"mouseleave\", onDeactivate);\n this.select.querySelectorAll(\"li\").forEach(function (el) {\n el.addEventListener(_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.pointerUp, function (e) {\n select.classList.remove(\"active\");\n _this.setValue(e.target.dataset.value || \"\");\n });\n });\n document.addEventListener(_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.pointerDown, function (e) {\n if (_this.select.contains(e.target))\n return;\n _this.select.classList.remove(\"active\");\n });\n };\n FilterItemSelect.prototype.handleValueChange = function (oldValue, newValue) {\n this.select.querySelectorAll(\"li.selected\").forEach(function (el) {\n el.classList.remove(\"selected\");\n });\n var selected = this.select.querySelector('li[data-value=\"' + newValue + '\"]');\n var label = this.select.querySelector(\".tsd-select-label\");\n if (selected && label) {\n selected.classList.add(\"selected\");\n label.textContent = selected.textContent;\n }\n document.documentElement.classList.remove(\"toggle-\" + oldValue);\n document.documentElement.classList.add(\"toggle-\" + newValue);\n };\n FilterItemSelect.prototype.fromLocalStorage = function (value) {\n return value;\n };\n FilterItemSelect.prototype.toLocalStorage = function (value) {\n return value;\n };\n return FilterItemSelect;\n}(FilterItem));\nvar Filter = /** @class */ (function (_super) {\n __extends(Filter, _super);\n function Filter(options) {\n var _this = _super.call(this, options) || this;\n _this.optionVisibility = new FilterItemSelect(\"visibility\", \"private\");\n _this.optionInherited = new FilterItemCheckbox(\"inherited\", true);\n _this.optionExternals = new FilterItemCheckbox(\"externals\", true);\n return _this;\n }\n Filter.isSupported = function () {\n try {\n return typeof window.localStorage != \"undefined\";\n }\n catch (e) {\n return false;\n }\n };\n return Filter;\n}(_Component__WEBPACK_IMPORTED_MODULE_0__.Component));\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/components/Filter.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/components/MenuHighlight.ts": -/*!*******************************************************************!*\ - !*** ./default/assets/js/src/typedoc/components/MenuHighlight.ts ***! - \*******************************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"MenuHighlight\": () => /* binding */ MenuHighlight\n/* harmony export */ });\n/* harmony import */ var _Component__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../Component */ \"./default/assets/js/src/typedoc/Component.ts\");\n/* harmony import */ var _services_Viewport__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../services/Viewport */ \"./default/assets/js/src/typedoc/services/Viewport.ts\");\nvar __extends = (undefined && undefined.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\n\n\n/**\n * Manages the sticky state of the navigation and moves the highlight\n * to the current navigation item.\n */\nvar MenuHighlight = /** @class */ (function (_super) {\n __extends(MenuHighlight, _super);\n /**\n * Create a new MenuHighlight instance.\n *\n * @param options Backbone view constructor options.\n */\n function MenuHighlight(options) {\n var _this = _super.call(this, options) || this;\n /**\n * List of all discovered anchors.\n */\n _this.anchors = [];\n /**\n * Index of the currently highlighted anchor.\n */\n _this.index = -1;\n _services_Viewport__WEBPACK_IMPORTED_MODULE_1__.Viewport.instance.addEventListener(\"resize\", function () { return _this.onResize(); });\n _services_Viewport__WEBPACK_IMPORTED_MODULE_1__.Viewport.instance.addEventListener(\"scroll\", function (e) { return _this.onScroll(e); });\n _this.createAnchors();\n return _this;\n }\n /**\n * Find all anchors on the current page.\n */\n MenuHighlight.prototype.createAnchors = function () {\n var _this = this;\n var base = window.location.href;\n if (base.indexOf(\"#\") != -1) {\n base = base.substr(0, base.indexOf(\"#\"));\n }\n this.el.querySelectorAll(\"a\").forEach(function (el) {\n var href = el.href;\n if (href.indexOf(\"#\") == -1)\n return;\n if (href.substr(0, base.length) != base)\n return;\n var hash = href.substr(href.indexOf(\"#\") + 1);\n var anchor = document.querySelector(\"a.tsd-anchor[name=\" + hash + \"]\");\n var link = el.parentNode;\n if (!anchor || !link)\n return;\n _this.anchors.push({\n link: link,\n anchor: anchor,\n position: 0,\n });\n });\n this.onResize();\n };\n /**\n * Triggered after the viewport was resized.\n */\n MenuHighlight.prototype.onResize = function () {\n var anchor;\n for (var index = 0, count = this.anchors.length; index < count; index++) {\n anchor = this.anchors[index];\n var rect = anchor.anchor.getBoundingClientRect();\n anchor.position = rect.top + document.body.scrollTop;\n }\n this.anchors.sort(function (a, b) {\n return a.position - b.position;\n });\n var event = new CustomEvent(\"scroll\", {\n detail: {\n scrollTop: _services_Viewport__WEBPACK_IMPORTED_MODULE_1__.Viewport.instance.scrollTop,\n },\n });\n this.onScroll(event);\n };\n /**\n * Triggered after the viewport was scrolled.\n *\n * @param event The custom event with the current vertical scroll position.\n */\n MenuHighlight.prototype.onScroll = function (event) {\n var scrollTop = event.detail.scrollTop + 5;\n var anchors = this.anchors;\n var count = anchors.length - 1;\n var index = this.index;\n while (index > -1 && anchors[index].position > scrollTop) {\n index -= 1;\n }\n while (index < count && anchors[index + 1].position < scrollTop) {\n index += 1;\n }\n if (this.index != index) {\n if (this.index > -1)\n this.anchors[this.index].link.classList.remove(\"focus\");\n this.index = index;\n if (this.index > -1)\n this.anchors[this.index].link.classList.add(\"focus\");\n }\n };\n return MenuHighlight;\n}(_Component__WEBPACK_IMPORTED_MODULE_0__.Component));\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/components/MenuHighlight.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/components/Search.ts": -/*!************************************************************!*\ - !*** ./default/assets/js/src/typedoc/components/Search.ts ***! - \************************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"initSearch\": () => /* binding */ initSearch\n/* harmony export */ });\n/* harmony import */ var _utils_debounce__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../utils/debounce */ \"./default/assets/js/src/typedoc/utils/debounce.ts\");\n/* harmony import */ var lunr__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! lunr */ \"../node_modules/lunr/lunr.js\");\n/* harmony import */ var lunr__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(lunr__WEBPACK_IMPORTED_MODULE_1__);\n\n\nfunction initSearch() {\n var searchEl = document.getElementById(\"tsd-search\");\n if (!searchEl)\n return;\n var searchScript = document.getElementById(\"search-script\");\n searchEl.classList.add(\"loading\");\n if (searchScript) {\n searchScript.addEventListener(\"error\", function () {\n searchEl.classList.remove(\"loading\");\n searchEl.classList.add(\"failure\");\n });\n searchScript.addEventListener(\"load\", function () {\n searchEl.classList.remove(\"loading\");\n searchEl.classList.add(\"ready\");\n });\n if (window.searchData) {\n searchEl.classList.remove(\"loading\");\n }\n }\n var field = document.querySelector(\"#tsd-search-field\");\n var results = document.querySelector(\".results\");\n if (!field || !results) {\n throw new Error(\"The input field or the result list wrapper was not found\");\n }\n var resultClicked = false;\n results.addEventListener(\"mousedown\", function () { return (resultClicked = true); });\n results.addEventListener(\"mouseup\", function () {\n resultClicked = false;\n searchEl.classList.remove(\"has-focus\");\n });\n field.addEventListener(\"focus\", function () { return searchEl.classList.add(\"has-focus\"); });\n field.addEventListener(\"blur\", function () {\n if (!resultClicked) {\n resultClicked = false;\n searchEl.classList.remove(\"has-focus\");\n }\n });\n var state = {\n base: searchEl.dataset.base + \"/\",\n };\n bindEvents(searchEl, results, field, state);\n}\nfunction bindEvents(searchEl, results, field, state) {\n field.addEventListener(\"input\", (0,_utils_debounce__WEBPACK_IMPORTED_MODULE_0__.debounce)(function () {\n updateResults(searchEl, results, field, state);\n }, 200));\n var preventPress = false;\n field.addEventListener(\"keydown\", function (e) {\n preventPress = true;\n if (e.key == \"Enter\") {\n gotoCurrentResult(results, field);\n }\n else if (e.key == \"Escape\") {\n field.blur();\n }\n else if (e.key == \"ArrowUp\") {\n setCurrentResult(results, -1);\n }\n else if (e.key === \"ArrowDown\") {\n setCurrentResult(results, 1);\n }\n else {\n preventPress = false;\n }\n });\n field.addEventListener(\"keypress\", function (e) {\n if (preventPress)\n e.preventDefault();\n });\n /**\n * Start searching by pressing slash.\n */\n document.body.addEventListener(\"keydown\", function (e) {\n if (e.altKey || e.ctrlKey || e.metaKey)\n return;\n if (!field.matches(\":focus\") && e.key === \"/\") {\n field.focus();\n e.preventDefault();\n }\n });\n}\nfunction checkIndex(state, searchEl) {\n if (state.index)\n return;\n if (window.searchData) {\n searchEl.classList.remove(\"loading\");\n searchEl.classList.add(\"ready\");\n state.data = window.searchData;\n state.index = lunr__WEBPACK_IMPORTED_MODULE_1__.Index.load(window.searchData.index);\n }\n}\nfunction updateResults(searchEl, results, query, state) {\n checkIndex(state, searchEl);\n // Don't clear results if loading state is not ready,\n // because loading or error message can be removed.\n if (!state.index || !state.data)\n return;\n results.textContent = \"\";\n var searchText = query.value.trim();\n // Perform a wildcard search\n var res = state.index.search(\"*\" + searchText + \"*\");\n for (var i = 0, c = Math.min(10, res.length); i < c; i++) {\n var row = state.data.rows[Number(res[i].ref)];\n // Bold the matched part of the query in the search results\n var name_1 = boldMatches(row.name, searchText);\n if (row.parent) {\n name_1 = \"\" + boldMatches(row.parent, searchText) + \".\" + name_1;\n }\n var item = document.createElement(\"li\");\n item.classList.value = row.classes;\n var anchor = document.createElement(\"a\");\n anchor.href = state.base + row.url;\n anchor.classList.add(\"tsd-kind-icon\");\n anchor.innerHTML = name_1;\n item.append(anchor);\n results.appendChild(item);\n }\n}\n/**\n * Move the highlight within the result set.\n */\nfunction setCurrentResult(results, dir) {\n var current = results.querySelector(\".current\");\n if (!current) {\n current = results.querySelector(dir == 1 ? \"li:first-child\" : \"li:last-child\");\n if (current) {\n current.classList.add(\"current\");\n }\n }\n else {\n var rel = dir == 1\n ? current.nextElementSibling\n : current.previousElementSibling;\n if (rel) {\n current.classList.remove(\"current\");\n rel.classList.add(\"current\");\n }\n }\n}\n/**\n * Navigate to the highlighted result.\n */\nfunction gotoCurrentResult(results, field) {\n var current = results.querySelector(\".current\");\n if (!current) {\n current = results.querySelector(\"li:first-child\");\n }\n if (current) {\n var link = current.querySelector(\"a\");\n if (link) {\n window.location.href = link.href;\n }\n field.blur();\n }\n}\nfunction boldMatches(text, search) {\n if (search === \"\") {\n return text;\n }\n var lowerText = text.toLocaleLowerCase();\n var lowerSearch = search.toLocaleLowerCase();\n var parts = [];\n var lastIndex = 0;\n var index = lowerText.indexOf(lowerSearch);\n while (index != -1) {\n parts.push(escapeHtml(text.substring(lastIndex, index)), \"\" + escapeHtml(text.substring(index, index + lowerSearch.length)) + \"\");\n lastIndex = index + lowerSearch.length;\n index = lowerText.indexOf(lowerSearch, lastIndex);\n }\n parts.push(escapeHtml(text.substring(lastIndex)));\n return parts.join(\"\");\n}\nvar SPECIAL_HTML = {\n \"&\": \"&\",\n \"<\": \"<\",\n \">\": \">\",\n \"'\": \"'\",\n '\"': \""\",\n};\nfunction escapeHtml(text) {\n return text.replace(/[&<>\"'\"]/g, function (match) { return SPECIAL_HTML[match]; });\n}\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/components/Search.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/components/Signature.ts": -/*!***************************************************************!*\ - !*** ./default/assets/js/src/typedoc/components/Signature.ts ***! - \***************************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"Signature\": () => /* binding */ Signature\n/* harmony export */ });\n/* harmony import */ var _Component__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../Component */ \"./default/assets/js/src/typedoc/Component.ts\");\n/* harmony import */ var _services_Viewport__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../services/Viewport */ \"./default/assets/js/src/typedoc/services/Viewport.ts\");\nvar __extends = (undefined && undefined.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\n\n\n/**\n * Holds a signature and its description.\n */\nvar SignatureGroup = /** @class */ (function () {\n /**\n * Create a new SignatureGroup instance.\n *\n * @param signature The target signature.\n * @param description The description for the signature.\n */\n function SignatureGroup(signature, description) {\n this.signature = signature;\n this.description = description;\n }\n /**\n * Add the given class to all elements of the group.\n *\n * @param className The class name to add.\n */\n SignatureGroup.prototype.addClass = function (className) {\n this.signature.classList.add(className);\n this.description.classList.add(className);\n return this;\n };\n /**\n * Remove the given class from all elements of the group.\n *\n * @param className The class name to remove.\n */\n SignatureGroup.prototype.removeClass = function (className) {\n this.signature.classList.remove(className);\n this.description.classList.remove(className);\n return this;\n };\n return SignatureGroup;\n}());\n/**\n * Controls the tab like behaviour of methods and functions with multiple signatures.\n */\nvar Signature = /** @class */ (function (_super) {\n __extends(Signature, _super);\n /**\n * Create a new Signature instance.\n *\n * @param options Backbone view constructor options.\n */\n function Signature(options) {\n var _this = _super.call(this, options) || this;\n /**\n * List of found signature groups.\n */\n _this.groups = [];\n /**\n * The index of the currently displayed signature.\n */\n _this.index = -1;\n _this.createGroups();\n if (_this.container) {\n _this.el.classList.add(\"active\");\n Array.from(_this.el.children).forEach(function (signature) {\n signature.addEventListener(\"touchstart\", function (event) {\n return _this.onClick(event);\n });\n signature.addEventListener(\"click\", function (event) {\n return _this.onClick(event);\n });\n });\n _this.container.classList.add(\"active\");\n _this.setIndex(0);\n }\n return _this;\n }\n /**\n * Set the index of the active signature.\n *\n * @param index The index of the signature to activate.\n */\n Signature.prototype.setIndex = function (index) {\n if (index < 0)\n index = 0;\n if (index > this.groups.length - 1)\n index = this.groups.length - 1;\n if (this.index == index)\n return;\n var to = this.groups[index];\n if (this.index > -1) {\n var from_1 = this.groups[this.index];\n from_1.removeClass(\"current\").addClass(\"fade-out\");\n to.addClass(\"current\");\n to.addClass(\"fade-in\");\n _services_Viewport__WEBPACK_IMPORTED_MODULE_1__.Viewport.instance.triggerResize();\n setTimeout(function () {\n from_1.removeClass(\"fade-out\");\n to.removeClass(\"fade-in\");\n }, 300);\n }\n else {\n to.addClass(\"current\");\n _services_Viewport__WEBPACK_IMPORTED_MODULE_1__.Viewport.instance.triggerResize();\n }\n this.index = index;\n };\n /**\n * Find all signature/description groups.\n */\n Signature.prototype.createGroups = function () {\n var signatures = this.el.children;\n if (signatures.length < 2)\n return;\n this.container = this.el.nextElementSibling;\n var descriptions = this.container.children;\n this.groups = [];\n for (var index = 0; index < signatures.length; index++) {\n this.groups.push(new SignatureGroup(signatures[index], descriptions[index]));\n }\n };\n /**\n * Triggered when the user clicks onto a signature header.\n *\n * @param e The related event object.\n */\n Signature.prototype.onClick = function (e) {\n var _this = this;\n this.groups.forEach(function (group, index) {\n if (group.signature === e.currentTarget) {\n _this.setIndex(index);\n }\n });\n };\n return Signature;\n}(_Component__WEBPACK_IMPORTED_MODULE_0__.Component));\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/components/Signature.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/components/Toggle.ts": -/*!************************************************************!*\ - !*** ./default/assets/js/src/typedoc/components/Toggle.ts ***! - \************************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"Toggle\": () => /* binding */ Toggle\n/* harmony export */ });\n/* harmony import */ var _Component__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../Component */ \"./default/assets/js/src/typedoc/Component.ts\");\n/* harmony import */ var _utils_pointer__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../utils/pointer */ \"./default/assets/js/src/typedoc/utils/pointer.ts\");\nvar __extends = (undefined && undefined.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\n\n\nvar Toggle = /** @class */ (function (_super) {\n __extends(Toggle, _super);\n function Toggle(options) {\n var _this = _super.call(this, options) || this;\n _this.className = _this.el.dataset.toggle || \"\";\n _this.el.addEventListener(_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.pointerUp, function (e) { return _this.onPointerUp(e); });\n _this.el.addEventListener(\"click\", function (e) { return e.preventDefault(); });\n document.addEventListener(_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.pointerDown, function (e) {\n return _this.onDocumentPointerDown(e);\n });\n document.addEventListener(_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.pointerUp, function (e) {\n return _this.onDocumentPointerUp(e);\n });\n return _this;\n }\n Toggle.prototype.setActive = function (value) {\n if (this.active == value)\n return;\n this.active = value;\n document.documentElement.classList.toggle(\"has-\" + this.className, value);\n this.el.classList.toggle(\"active\", value);\n var transition = (this.active ? \"to-has-\" : \"from-has-\") + this.className;\n document.documentElement.classList.add(transition);\n setTimeout(function () { return document.documentElement.classList.remove(transition); }, 500);\n };\n Toggle.prototype.onPointerUp = function (event) {\n if (_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.hasPointerMoved)\n return;\n this.setActive(true);\n event.preventDefault();\n };\n Toggle.prototype.onDocumentPointerDown = function (e) {\n if (this.active) {\n if (e.target.closest(\".col-menu, .tsd-filter-group\")) {\n return;\n }\n this.setActive(false);\n }\n };\n Toggle.prototype.onDocumentPointerUp = function (e) {\n var _this = this;\n if (_utils_pointer__WEBPACK_IMPORTED_MODULE_1__.hasPointerMoved)\n return;\n if (this.active) {\n if (e.target.closest(\".col-menu\")) {\n var link = e.target.closest(\"a\");\n if (link) {\n var href = window.location.href;\n if (href.indexOf(\"#\") != -1) {\n href = href.substr(0, href.indexOf(\"#\"));\n }\n if (link.href.substr(0, href.length) == href) {\n setTimeout(function () { return _this.setActive(false); }, 250);\n }\n }\n }\n }\n };\n return Toggle;\n}(_Component__WEBPACK_IMPORTED_MODULE_0__.Component));\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/components/Toggle.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/services/Viewport.ts": -/*!************************************************************!*\ - !*** ./default/assets/js/src/typedoc/services/Viewport.ts ***! - \************************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"Viewport\": () => /* binding */ Viewport\n/* harmony export */ });\n/* harmony import */ var _EventTarget__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../EventTarget */ \"./default/assets/js/src/typedoc/EventTarget.ts\");\n/* harmony import */ var _utils_trottle__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../utils/trottle */ \"./default/assets/js/src/typedoc/utils/trottle.ts\");\nvar __extends = (undefined && undefined.__extends) || (function () {\n var extendStatics = function (d, b) {\n extendStatics = Object.setPrototypeOf ||\n ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n return extendStatics(d, b);\n };\n return function (d, b) {\n extendStatics(d, b);\n function __() { this.constructor = d; }\n d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n };\n})();\n\n\n/**\n * A global service that monitors the window size and scroll position.\n */\nvar Viewport = /** @class */ (function (_super) {\n __extends(Viewport, _super);\n /**\n * Create new Viewport instance.\n */\n function Viewport() {\n var _this = _super.call(this) || this;\n /**\n * The current scroll position.\n */\n _this.scrollTop = 0;\n /**\n * The previous scrollTop.\n */\n _this.lastY = 0;\n /**\n * The width of the window.\n */\n _this.width = 0;\n /**\n * The height of the window.\n */\n _this.height = 0;\n /**\n * Boolean indicating whether the toolbar is shown.\n */\n _this.showToolbar = true;\n _this.toolbar = (document.querySelector(\".tsd-page-toolbar\"));\n _this.secondaryNav = (document.querySelector(\".tsd-navigation.secondary\"));\n window.addEventListener(\"scroll\", (0,_utils_trottle__WEBPACK_IMPORTED_MODULE_1__.throttle)(function () { return _this.onScroll(); }, 10));\n window.addEventListener(\"resize\", (0,_utils_trottle__WEBPACK_IMPORTED_MODULE_1__.throttle)(function () { return _this.onResize(); }, 10));\n _this.onResize();\n _this.onScroll();\n return _this;\n }\n /**\n * Trigger a resize event.\n */\n Viewport.prototype.triggerResize = function () {\n var event = new CustomEvent(\"resize\", {\n detail: {\n width: this.width,\n height: this.height,\n },\n });\n this.dispatchEvent(event);\n };\n /**\n * Triggered when the size of the window has changed.\n */\n Viewport.prototype.onResize = function () {\n this.width = window.innerWidth || 0;\n this.height = window.innerHeight || 0;\n var event = new CustomEvent(\"resize\", {\n detail: {\n width: this.width,\n height: this.height,\n },\n });\n this.dispatchEvent(event);\n };\n /**\n * Triggered when the user scrolled the viewport.\n */\n Viewport.prototype.onScroll = function () {\n this.scrollTop = window.scrollY || 0;\n var event = new CustomEvent(\"scroll\", {\n detail: {\n scrollTop: this.scrollTop,\n },\n });\n this.dispatchEvent(event);\n this.hideShowToolbar();\n };\n /**\n * Handle hiding/showing of the toolbar.\n */\n Viewport.prototype.hideShowToolbar = function () {\n var isShown = this.showToolbar;\n this.showToolbar = this.lastY >= this.scrollTop || this.scrollTop <= 0;\n if (isShown !== this.showToolbar) {\n this.toolbar.classList.toggle(\"tsd-page-toolbar--hide\");\n this.secondaryNav.classList.toggle(\"tsd-navigation--toolbar-hide\");\n }\n this.lastY = this.scrollTop;\n };\n Viewport.instance = new Viewport();\n return Viewport;\n}(_EventTarget__WEBPACK_IMPORTED_MODULE_0__.EventTarget));\n\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/services/Viewport.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/utils/debounce.ts": -/*!*********************************************************!*\ - !*** ./default/assets/js/src/typedoc/utils/debounce.ts ***! - \*********************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"debounce\": () => /* binding */ debounce\n/* harmony export */ });\nvar debounce = function (fn, wait) {\n if (wait === void 0) { wait = 100; }\n var timeout;\n return function () {\n var args = [];\n for (var _i = 0; _i < arguments.length; _i++) {\n args[_i] = arguments[_i];\n }\n clearTimeout(timeout);\n timeout = setTimeout(function () { return fn(args); }, wait);\n };\n};\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/utils/debounce.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/utils/pointer.ts": -/*!********************************************************!*\ - !*** ./default/assets/js/src/typedoc/utils/pointer.ts ***! - \********************************************************/ -/***/ ((__unused_webpack_module, __webpack_exports__, __webpack_require__) => { - -"use strict"; -eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */ \"pointerDown\": () => /* binding */ pointerDown,\n/* harmony export */ \"pointerMove\": () => /* binding */ pointerMove,\n/* harmony export */ \"pointerUp\": () => /* binding */ pointerUp,\n/* harmony export */ \"pointerDownPosition\": () => /* binding */ pointerDownPosition,\n/* harmony export */ \"preventNextClick\": () => /* binding */ preventNextClick,\n/* harmony export */ \"isPointerDown\": () => /* binding */ isPointerDown,\n/* harmony export */ \"isPointerTouch\": () => /* binding */ isPointerTouch,\n/* harmony export */ \"hasPointerMoved\": () => /* binding */ hasPointerMoved,\n/* harmony export */ \"isMobile\": () => /* binding */ isMobile\n/* harmony export */ });\n/**\n * Event name of the pointer down event.\n */\nvar pointerDown = \"mousedown\";\n/**\n * Event name of the pointer move event.\n */\nvar pointerMove = \"mousemove\";\n/**\n * Event name of the pointer up event.\n */\nvar pointerUp = \"mouseup\";\n/**\n * Position the pointer was pressed at.\n */\nvar pointerDownPosition = { x: 0, y: 0 };\n/**\n * Should the next click on the document be supressed?\n */\nvar preventNextClick = false;\n/**\n * Is the pointer down?\n */\nvar isPointerDown = false;\n/**\n * Is the pointer a touch point?\n */\nvar isPointerTouch = false;\n/**\n * Did the pointer move since the last down event?\n */\nvar hasPointerMoved = false;\n/**\n * Is the user agent a mobile agent?\n */\nvar isMobile = /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent);\ndocument.documentElement.classList.add(isMobile ? \"is-mobile\" : \"not-mobile\");\nif (isMobile && \"ontouchstart\" in document.documentElement) {\n isPointerTouch = true;\n pointerDown = \"touchstart\";\n pointerMove = \"touchmove\";\n pointerUp = \"touchend\";\n}\ndocument.addEventListener(pointerDown, function (e) {\n isPointerDown = true;\n hasPointerMoved = false;\n var t = pointerDown == \"touchstart\"\n ? e.targetTouches[0]\n : e;\n pointerDownPosition.y = t.pageY || 0;\n pointerDownPosition.x = t.pageX || 0;\n});\ndocument.addEventListener(pointerMove, function (e) {\n if (!isPointerDown)\n return;\n if (!hasPointerMoved) {\n var t = pointerDown == \"touchstart\"\n ? e.targetTouches[0]\n : e;\n var x = pointerDownPosition.x - (t.pageX || 0);\n var y = pointerDownPosition.y - (t.pageY || 0);\n hasPointerMoved = Math.sqrt(x * x + y * y) > 10;\n }\n});\ndocument.addEventListener(pointerUp, function () {\n isPointerDown = false;\n});\ndocument.addEventListener(\"click\", function (e) {\n if (preventNextClick) {\n e.preventDefault();\n e.stopImmediatePropagation();\n preventNextClick = false;\n }\n});\n\n\n//# sourceURL=webpack:///./default/assets/js/src/typedoc/utils/pointer.ts?"); - -/***/ }), - -/***/ "./default/assets/js/src/typedoc/utils/trottle.ts": -/*!********************************************************!*\ - !*** ./default/assets/js/src/typedoc/utils/trottle.ts ***! 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@@ -899,6 +900,6 @@
- + \ No newline at end of file diff --git a/typedoc/index.html b/typedoc/index.html index 12612ae1..abbf136f 100644 --- a/typedoc/index.html +++ b/typedoc/index.html @@ -6,7 +6,8 @@ @vladmandic/human - + +
@@ -467,6 +468,6 @@
- + \ No newline at end of file diff --git a/wiki b/wiki index 4f67b666..c4a3b6f1 160000 --- a/wiki +++ b/wiki @@ -1 +1 @@ -Subproject commit 4f67b6662637ff98421376dd8fc739a41ac969ad +Subproject commit c4a3b6f1f99cb1723ebd32be702e52d44276169d